<p>R-Ladies Bari è lieta di annunciare il primissimo evento del 2019!</p> <p>Prenotate i vostri biglietti tramite Eventbrite al link: <a href="https://goo.gl/t86RgR" class="linkified">https://goo.gl/t86RgR</a></p> <p>L'evento si terrà presso la sede di InfoCamere, host ufficiale della community.</p> <p>Munitevi di PC e di tanta curiosità.. vi aspettiamo il 29 Gennaio alle ore 18:30!</p> <p>La community è attiva su Meetup, Facebook e Twitter. Follow us!</p> <p>I posti sono limitati e sarà data precedenza alle minoranze di genere nel rispetto della mission delle R-Ladies.<br/>L'accesso alla struttura è consentito solo tramite prenotazione del biglietto su Eventbrite.<br/>I biglietti saranno disponibili fino al 26 Gennaio per organizzare il tutto nel miglior modo in base al numero di partecipanti.</p>
<p>I dati non sono sempre nel formato che desideriamo. Per porre domande significative sui dati, è spesso necessario riordinare i dati nel dataframe. Vi mostreremo come fare queste cose in un modo veloce, facile da ripetere usando "Tidyverse".<br/>Vi aspettiamo il 5 Marzo presso la sede di InfoCamere Bari (nei pressi dell'anfiteatro della pace), host ufficiale della community<br/>Programma<br/>18:15 - 18:30 Registrazione<br/>18:30 - 19:45 Applicazione<br/>19:45 - 20:00 Follow-up e saluti</p> <p>Prenotate il vostro posto qui: <a href="https://goo.gl/3LgmM5" class="linkified">https://goo.gl/3LgmM5</a><br/>Posti limitati!</p> <p>R-Ladies Bari</p>
<p>SCIENZE, TECNOLOGIE, ENGINEERING, MATEMATICA<br/>LA NUOVA SFIDA DELLE PARI OPPORTUNITÀ</p>
<p>R-Ladies Bari in partnership con R-Ladies Nijmegen , Olanda... presenta un meetup I M P E R D I B I L E.</p> <p>Sara Iacozza sarà la nostra speaker:<br/>'Come ricercatrice in psicologia cognitiva, raccolgo dati comportamentali (tempi di reazione e accuratezza delle risposte) ed elettrofisiologici (movimenti oculari, dati elettro-encefalografici) per studiare come gli esseri umani reagiscono agli stimoli a cui sono esposti. Ovviamente, quando si ha a che fare con soggetti umani, la variabilità presente nei dati è molto alta, quindi c’è bisogno di strumenti statistici che ne tengano conto, come i mixed-effect models.</p> <p>In questo workshop, vi darò l’opportunitá di immedesimarvi in una psicologa cognitiva e seguire gli steps, dal data mining a data visualization passando, ovviamente, per data analysis, che ci permettono di testare ipotesi e derivarne conclusioni. '</p> <p>Appuntamento ore 18:00 presso InfoCamere. Ingresso solo con prenotazione dei posti al seguente link: <a href="https://www.eventbrite.ie/e/registrazione-come-r-ci-aiuta-a-svelare-i-misteri-della-mente-59689223073" class="linkified">https://www.eventbrite.ie/e/registrazione-come-r-ci-aiuta-a-svelare-i-misteri-della-mente-59689223073</a></p>
<p>Introduzione all'uso della libreria ggplot2 per la creazione di grafici altamente personalizzati.</p> <p>25 Giugno 2019, R-Ladies Bari presenta:Introduzione all'uso della libreria ggplot2 per la creazione di grafici altamente personalizzati.</p> <p>GGPLOT2 è un sistema grafico per R, basato sulla “grammar of graphics”. Idea di base: sviluppare delle regole “grammaticali” (grammar of graphics) per ottenere una “linguaggio” per descrivere e costruire grafici, specificando<br/>- estetica: come rappresentare i dati, colori, trasparenze etc,<br/>- geometrie: tipo di grafico (punti, linee, etc),<br/>- misure: scala di misurazione, trasformazioni, sistema di coordinate, etc.</p> <p>Francesca Lamontanara, cofounder di R-Ladies Bari e data scientist in InfoCamere ci mostrerà con applicazioni sia teoriche che pratiche il mondo ggplot2.</p> <p>Vi ricordiamo di portare il PC con R e RStudio installato! I materiali saranno resi disponibili tramite <a href="https://github.com/giodev11/r-ladies-bari" class="linkified">https://github.com/giodev11/r-ladies-bari</a> (al momento non c'è nulla).</p> <p>Agenda<br/>18:15 - 18:30 Welcome r-ladies-bari<br/>18:30 - 18:45 Presentazione r-ladies-bari<br/>18:45 - 20:00 Workshop<br/>20:00 - 20:30 Saluti e Networking</p> <p>NEWS!NEWS!NEWS! L'evento si terrà presso TBD(to be defined)</p> <p>Vi invieremo qualche giorno prima i pacchetti e il dataset da scaricare da Github.</p> <p>Ringraziamo anche gli altri nostri sponsor e partner:<br/>InfoCamere, Italian Association for Machine Learning, R-Ladies Global</p>
<p>RLadies- BRC es parte de una organización mundial para promover la diversidad de género en la comunidad R, y el uso del entorno R. No importa si nunca usaste R o si es tu herramienta principal de trabajo. El objetivo es promover R, intercambiar conocimientos y crear una red de contactos.<br/>Te pedimos que antes de sumarte leas nuestro código de conducta y respondas si estás de acuerdo con el mismo: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish</a></p> <p>En este primer taller del 2019 vamos a introducir el uso de R usando tidyverse. Para ello, cada asistente necesitará contar con computadora portatil propia y tener instalado R y RStudio, para ello podés seguir los pasos que te mostramos en: <a href="https://docs.google.com/document/d/1t8bPdADfh-IT9xkNElV-m3PlCdLP26e0kGjK4vZyNuE/edit?usp=sharing" class="linkified">https://docs.google.com/document/d/1t8bPdADfh-IT9xkNElV-m3PlCdLP26e0kGjK4vZyNuE/edit?usp=sharing</a></p> <p>Gracias!!</p>
<p>RLadies- BRC es parte de una organización mundial para promover la diversidad de género en la comunidad R, y el uso del entorno R. No importa si nunca usaste R o si es tu herramienta principal de trabajo. El objetivo es promover R, intercambiar conocimientos y crear una red de contactos.<br/>Te pedimos que antes de sumarte leas nuestro código de conducta y respondas si estás de acuerdo con el mismo: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish</a></p> <p>En este primer taller del 2019 vamos a introducir el uso de R usando tidyverse. Para ello, cada asistente necesitará contar con computadora portatil propia y tener instalado R y RStudio, para ello podés seguir los pasos que te mostramos en: <a href="https://docs.google.com/document/d/1t8bPdADfh-IT9xkNElV-m3PlCdLP26e0kGjK4vZyNuE/edit?usp=sharing" class="linkified">https://docs.google.com/document/d/1t8bPdADfh-IT9xkNElV-m3PlCdLP26e0kGjK4vZyNuE/edit?usp=sharing</a></p> <p>Gracias!!</p>
<p>Patricia García nos va a contar cómo hacer un análisis multivariante de gran utilidad para realizar una primera exploración de nuestros datos, el famoso PCA! Usaremos el paquete "FactoMineR", junto con los paquetes asociados "factoextra", "corrplot" y "Hmisc". Para este taller es necesario contar con conocimientos básicos de R y RStudio (los que aprendimos en el taller pasado), es decir: saber abrir un script, correr un comando, y descargar y llamar paquetes.<br/>*IMPORTANTE: Quienes asistan por favor llevar computadora personal con R y RStudio instalados, y descargar los paquetes antes del Meetup. También enviaremos por correo el script para que ya lo tengan antes del mismo.*</p>
<p>Patricia García nos va a contar cómo hacer un análisis multivariante de gran utilidad para realizar una primera exploración de nuestros datos, el famoso PCA! Usaremos el paquete "FactoMineR", junto con los paquetes asociados "factoextra", "corrplot" y "Hmisc". Para este taller es necesario contar con conocimientos básicos de R y RStudio (los que aprendimos en el taller pasado), es decir: saber abrir un script, correr un comando, y descargar y llamar paquetes.<br/>*IMPORTANTE: Quienes asistan por favor llevar computadora personal con R y RStudio instalados, y descargar los paquetes antes del Meetup. También enviaremos por correo el script para que ya lo tengan antes del mismo.*</p>
<p>En esta oportunidad Paula Fergnani nos va a enseñar a extraer datos climáticos de la base de WorldClim a partir de una lista de coordenadas de sitios de muestreo. Es decir, vamos a usar R como un SIG!</p> <p>Les pedimos que antes de anotarse primero lean y acepten el código de conducta.</p> <p>¡No te olvides de traer tú notebook! Deberás traer R, Rstudio y LOS<br/>PAQUETES INSTALADOS, no contamos con internet para descargar los<br/>paquetes en la sala.</p> <p>Fundamental. Buscamos encargades de coffee break, que puedan traer alguna delicatessen para degustar. Escribinos para colaborar :) Las organizadoras llevarán las infusiones</p> <p>Paquetes para traer instalados!!<br/>tidyverse<br/>sp<br/>rgdal<br/>maptools<br/>raster<br/>rgeos<br/>cualquier problema con las instalación de los paquetes pueden escribir al slack</p>
<p>En esta oportunidad Paula Fergnani nos va a enseñar a extraer datos climáticos de la base de WorldClim a partir de una lista de coordenadas de sitios de muestreo. Es decir, vamos a usar R como un SIG!</p> <p>Les pedimos que antes de anotarse primero lean y acepten el código de conducta<br/><a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish</a></p> <p>¡No te olvides de traer tú notebook! Deberás traer R, Rstudio y LOS<br/>PAQUETES INSTALADOS, no contamos con internet para descargar los<br/>paquetes en la sala.</p> <p>FUNDAMENTAL! Buscamos encargades de coffee break, que puedan traer alguna delicatessen para degustar. Escribinos para colaborar :) Las organizadoras llevarán las infusiones</p> <p>Paquetes para traer instalados!!<br/>tidyverse<br/>sp<br/>rgdal<br/>maptools<br/>raster<br/>rgeos<br/>cualquier problema con las instalación de los paquetes pueden escribir al slack</p>
<p>En este taller aprenderemos desde cero, como hacer loops que automatizan acciones repetitivas. O a como programar nuestras propias funciones que no están en ningún paquete de R, de la mano de nuestra colega Karina Laneri.</p> <p>Como siempre, les pedimos que antes de anotarse primero lean y acepten el código de conducta<br/><a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish</a></p> <p>Trabajaremos en forma individual, así que ¡No te olvides de traer tú notebook! Además recordá que es FUNDAMENTAL tener R y Rstudio instalados ¡¡Y ACTUALIZADOS!!</p> <p>Como es habitual, para el intervalo necesitamos de su aporte, quienes quieran colaborar pueden escribirnos, para la caja permanente no estaría faltando café instantáneo, leche en polvo y estevia o edulcorante. Además de los siempre bienvenidos aportes nutritivos (fruta, frutos secos, alimentos engordantes del tipo que sean, apto celíaquía, etc. )<br/>¡¡Y por favor, recordá traer tu taza, ayudemos a reducir el uso de plásticos de un solo uso!!</p>
<p>En este taller aprenderemos desde cero, como hacer loops que automatizan acciones para no tener que hacerlas una por una. O a como programar nuestras propias funciones que no están en ningún paquete de R. De la mano de nuestra colega Karina Laneri</p> <p>Como siempre, les pedimos que antes de anotarse primero lean y acepten el código de conducta<br/><a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish</a></p> <p>Trabajaremos en forma individual, así que ¡No te olvides de traer tú notebook! Además recordá que es FUNDAMENTAL tener R y Rstudio instalados ¡¡Y ACTUALIZADOS!!</p> <p>Como es habitual, para el intervalo necesitamos de su aporte, quienes quieran colaborar pueden escribirnos. Además de aportes nutritivos (fruta, frutos secos, alimentos engordantes del tipo que sean, apto celíaquía, etc. )<br/>¡¡Y por favor, recordá traer tu taza, ayudemos a reducir el uso de plásticos de un solo uso!!</p>
<p>¿Tenes una carpeta llena con distintas versiones del mismo archivo?¿Te gustaría poder llevar un seguimiento de los cambios en tu trabajo? ¿Te interesa participar de proyectos colaborativos?<br/>En este taller preparado en conjunto entre Las De Sistemas y R-Ladies Buenos Aires proponemos una iniciación al uso de Git como herramienta complementaria y útil al momento de escribir código en R.<br/>Sugerimos este taller a personas con una mínima experiencia en el uso de R y RStudio.</p> <p>Las encargadas de la presentacion del taller serán:<br/>Cynthia Monastirsky (Las de Sistemas)<br/>Cintia Callamullo León (R-Ladies Buenos Aires)</p> <p>Requerimientos imprescindibles:<br/>Trae tu compu con tu cargador y los siguientes programas instalados:<br/>* Git (<a href="https://git-scm.com/book/es/v1/Empezando-Instalando-Git" class="linkified">https://git-scm.com/book/es/v1/Empezando-Instalando-Git</a>)<br/>* R y RStudio (<a href="https://drive.google.com/open?id=0B0X9hdtcUykTdy1ZaVM3S3hxQ0k" class="linkified">https://drive.google.com/open?id=0B0X9hdtcUykTdy1ZaVM3S3hxQ0k</a>)</p> <p>Agradecemos al Centro Cultural Tierra Violeta por brindarnos un lugar para el evento. Durante el taller habrá momentos para hacer sociales y cosas ricas para compartir. ¡Te esperamos!</p> <p>Es muy importante que des RSVP únicamente si podés asistir porque los lugares son limitados. Si confirmás asistencia pero luego no podés asistir, te pedimos por favor que nos avises y dejes tu lugar disponible para otra persona.</p> <p>Cualquier consulta que tengas con lo anterior, la vemos por acá, por el Slack (si sos mujer o parte de una minoría disidente y aún no tenés acceso al Slack, enviános un mail a [masked]).</p>
<p>¡Hola!<br/>Este año participaremos en NERDEARLA, un evento lleno de charlas y talleres super interesantes que se hace en el Konex de forma GRATUITA. Desde R-Ladies Buenos Aires les proponemos un taller para quienes quieren arrancar a usar R para análisis de datos y visualización.</p> <p>Si querés arrancar a usar R y formás parte de alguna minoría dentro del mundo de la programación, este taller es para vos! En nuestros encuentros buscamos crear un espacio amigable donde que cada persona se sienta comoda y aprendamos de la experiencia de quienes participan.</p> <p>Para participar es muy importante que te inscribas al evento general (podés aprovechar para participar en otras actividades) acá: <a href="https://nerdear.la/" class="linkified">https://nerdear.la/</a></p> <p>Y además es necesario que completes este formulario para asegurarte un lugar en el talles: <a href="https://forms.gle/nhh9KUeqfgSWwDBv8" class="linkified">https://forms.gle/nhh9KUeqfgSWwDBv8</a></p> <p>Trae tu compu (y cargador!) con:<br/>- R y RStudio instalados<br/>- Los paquetes del tidyverse instalados (install.packages("Tidyverse"))</p> <p>Cualquier consulta que tengas, escribinos por acá, por el Slack o desde temprano el sábado 19/10.</p> <p>¡Gracias a NERDEARLA por invitarnos!</p> <p>¡Nos vemos pronto!</p>
<p>¡Cerramos la tercer temporada de meetups con todo!</p> <p>Despedimos a Natsu con la charla:</p> <p>"boosted_me &lt;- r_ladies(me), o cómo sumarme a R-Ladies me impulsó a (des)programar la desigualdad de género"</p> <p>Nos comentará sobre su experiencia con R-Ladies y cómo a partir de aprender a programar en R terminó desplegando un activismo feminista 'datero', desarrollando un informe sobre la desigualdad de género en Argentina ('La desigualdad de género se puede medir'), estimando el costo de menstruar desde la campaña #MenstruAccion, realizando talleres gratuitos y autogestionados de introducción a R para mujeres e identidades disidentes, entre otras actividades."</p> <p>Y como si esto fuese poco Laura Ación presentará:</p> <p>"Relatos de useR! 2019"<br/>Este año se organizó useR! 2019 en Toulouse (Francia). Con más de mil asistentes y muchísimos tutoriales y charlas, es una de las principales conferencias sobre uso de R. Laura tuvo la posibilidad de asistir personalmente gracias a una beca de diversidad. Vení a enterarte más sobre useR! 2019 y cómo podrías ir a useR! 2020 que será en Saint Louis (EEUU) el próximo Julio.<br/>¿Alguien dijo stickers y otros *R*egalitos?</p> <p>Agradecemos a Medallia por brindarnos un lugar y catering para el evento.</p> <p>Es muy importante que des RSVP únicamente si podés asistir porque los lugares son limitados. Si confirmás asistencia pero luego no podés asistir, te pedimos por favor que nos avises y dejes tu lugar disponible para otra persona.</p> <p>Cualquier consulta que tengas con lo anterior, la vemos por acá, por el Slack (si sos mujer o parte de una minoría disidente y aún no tenés acceso al Slack, enviános un mail a [masked]).</p> <p>¡Te esperamos!</p>
<p>¡Vamos a darle la bienvenida a 2019, aprendiendo R! Esta vez, vamos ha realizar un Taller de R para Ciencia de Datos, desde cero y para todos los niveles usando Tidyverse.</p> <p>:: CRONOGRAMA ::<br/>&gt; 16:30hs a 17:00hs - Organización. Deben llevar sus propias computadoras, ubicarse y estar listos. Empezamos muy puntuales.<br/>&gt; 17:00hs a 18:15hs - Taller Parte I<br/>&gt; 18:15hs a 18:30hs - Coffee Break y socialización<br/>&gt; 18:30hs a 19:30hs - Taller Parte II</p> <p>:: CARACTERÍSTICAS DEL TALLER ::<br/>&gt; Basado en el libro de "R For Data Science", el cual es de acceso gratuito (<a href="https://r4ds.had.co.nz/" class="linkified">https://r4ds.had.co.nz/</a>).<br/>&gt; Tendrán que llevar sus propias computadoras, con R y RStudio instalado. Pueden usar el siguiente tutorial: (<a href="https://tinyurl.com/TutorialInstalacionR" class="linkified">https://tinyurl.com/TutorialInstalacionR</a>)<br/>&gt; Habrá ejercicios de "tarea" que podrán completar en sus casas con tranquilidad, para seguir practicando.</p> <p>:: PÚBLICO ::<br/>El taller estará orientado a empezar desde cero. Sin embargo, si ya conoces algo de R estás invitado a venir a repasar, y también a ayudar. Estaría muy bueno que miembros de R-Ladies Santa Fe que ya tengan experiencia se sumen al Taller y ayuden a responder consultas y problemas que surjan durante el mismo. Cualquier consulta que tengan, con la instalación o con los ejercicios la vemos por el Slack (las que aún no tienen acceso al Slack, pueden enviarnos un mail a [masked]).</p> <p>:: SEDE ::<br/>Queremos agradecerle a la Dra Milagros Gutiérrez, directora del Departamento de Ingeniería en Sistemas de Información de la UTN FRSF, por ayudarnos a coordinar el encuentro y obtener la ubicación.</p>
<p>R-Ladies Santa Fe está de cumpleaños y queremos festejarlo en comunidad. ¡Datatón de cumpleaños!</p> <p>ACTIVIDADES PLANIFICADAS</p> <p>&gt; 17:00hs a 17:15hs - Bienvenida y presentación.<br/>Vamos a presentar un Dataset para trabajar en equipo. También pueden traer sus propios datos y presentar ejercicios para realizar. Nos dividiremos en grupos de 4 o 5 miembros.</p> <p>&gt; 17:15hs a 18:15hs - Trabajo con el o los Datasets.</p> <p>&gt; 18:15hs a 18:30hs - Descanso y socialización. Tal vez soplemos velitas :)</p> <p>&gt; 18:30hs a 19:00hs - Segunda Parte de análisis de datos.</p> <p>&gt; 19:00hs a 19:30h - Resultados y discusión.</p> <p>INFORMACIÓN IMPORTANTE</p> <p>&gt; Traer instalado R y RStudio.</p> <p>&gt; En la entrada les pedirán su nombre y apellido. Sólo personas inscriptas al evento podrán participar del mismo.</p> <p>&gt; Al ingresar, hay que doblar a la derecha, pasando una puerta de vidrio. El encuentro es en planta baja.</p> <p>¡Los esperamos!</p>
<p>Ciencia de datos con R<br/>By: Nathaly Alarcón</p> <p>Estaremos presentes en la conferencia de Women in Data Science La Paz. Daremos un codelab :)</p> <p>Regístrate:<br/><a href="https://widslapaz2019.eventbrite.com" class="linkified">https://widslapaz2019.eventbrite.com</a></p>
<p>Celebrate your gal pals with R-Ladies Chicago! We'll be socializing and networking at Motor Row Brewing for our February Meetup. There may or may not be R-Ladies-themed desserts...</p> <p>This event takes place right before our Women's Package Development Workshop (<a href="https://forwards.github.io/edu/chicago/" class="linkified">https://forwards.github.io/edu/chicago/</a>) on February 23, so this is a great opportunity to meet and network with R-Ladies from across the US. Please join us in welcoming fellow female and non-binary R users to Chicago!</p> <p>This casual get-together is open to any **female or non-binary** individuals, regardless if you are attending the women's package workshop. Note that this is not a structured event, but a time to socialize with fellow R-Ladies.</p> <p>The venue is pet-friendly, and while it does not have a kitchen, is BYOF (bring your own food - we may order a pizza or two to the venue <a href="http://www.motorrowbrewing.com/byof/" class="linkified">http://www.motorrowbrewing.com/byof/</a>).</p> <p>Happy Galentine's Day from R-Ladies Chicago!</p>
<p>Meet up with R-Ladies Chicago after Chicago's first one-day R conference happening at the end of April, SatRday Chicago!</p> <p>We'll be meeting up at the post-conference happy hour at Roosevelt University. R-Ladies from out of town will be at the event, and we'd like to welcome them :)</p> <p>Attendance at the conference is not required for *female and non-binary individuals* to join R-Ladies at the happy hour. We encourage our male allies to buy a ticket and attend the conference! Tickets are cheap - $50 for professionals, $25 for students, and the event will feature over 35 speakers (!) and food.</p> <p>If you're looking for a day of R learning and networking, check out the schedule and get a ticket to SatRday Chicago here: <a href="https://chicago2019.satrdays.org/" class="linkified">https://chicago2019.satrdays.org/</a></p>
<p>#TidyTuesday is a weekly social data project focused on using tidyverse packages to clean, wrangle, tidy, and plot a new dataset every Tuesday.</p> <p>We will be using a dataset from the TidyTuedsay Github (<a href="https://github.com/rfordatascience/tidytuesday" class="linkified">https://github.com/rfordatascience/tidytuesday</a>)<br/>that has been tamed, but does not always adhere to “tidy” data principles. Our goal is to have you take a look at the raw data, and generate either a copy of the original plot or a novel take on the data! You can obviously use whatever techniques you feel are appropriate, but the data will be organized in a way that tidyverse tools will work well!</p> <p>Schedule<br/>6-6:30 -- Food and drinks, Intros &amp; Announcements<br/>6:30-7:30 -- R TidyTuesday Project Night<br/>7:30-8:00-- Socializing/Networking/Hanging out/Chillin'</p> <p>Q: Are men welcome to attend this event?<br/>A: Our primary mission is to encourage more women and non-binary individuals to get involved in the R community. ***As such, we strongly encourage that all men who attend this event have a female or non-binary sponsor. Please contact [masked] if you have questions.***</p> <p>Additionally, please help us by spreading the word about R-Ladies, and by being respectful of the fact that this event is primarily for women/non-binary/female-identifying individuals.</p> <p>• What to bring<br/>Yourself! And a laptop - this will be an interactive event.</p> <p>• Important to know<br/>We expect all attendees to abide &amp; be governed by our community code of conduct. Please take a moment to review our R-Ladies Global code of conduct (particularly if this is your first time attending!): <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct</a></p> <p>• Thank you to our sponsors!<br/>We are grateful to 8th Light for hosting us this month and providing food!!</p>
<p>R-Ladies Adelaide is incredibly excited to host a networking event in June! Come along on Thursday, June 6th, join us and get to know the amazing women of R-Ladies Adelaide.</p> <p>This networking event will be held at the Innovation &amp; Collaboration Centre from 5.30 pm, light refreshments are provided! No R skills required - come and chat if you're interested in learning r in the future, too. We're looking forward to seeing you all there (all genders are welcome)!</p> <p>Timings: doors open 5.30 pm. Format: networking only, no laptops needed</p> <p>P.S: PLEASE RSVP VIA EVENTBRITE</p> <p><a href="https://www.eventbrite.com/e/r-ladies-adelaide-winter-networking-tickets-61621301973" class="linkified">https://www.eventbrite.com/e/r-ladies-adelaide-winter-networking-tickets-61621301973</a></p> <p>See you all soon! Feel free to post on the discussion board if you have any questions or email organisers!</p>
<p>Want to learn R? You've come to the right place! R-Ladies Adelaide is offering you an opportunity to learn R - the language of data! Come and spend Thursday evening with R-Ladies at the Adelaide Health and Medical Sciences Building on the 12th of September.</p> <p>If you have never worked with R before and want to start, this event is for you! It is expected that all attendees will arrive with a laptop (and chargers), and R and RStudio installed on their computers (please follow the instructions here: <a href="http://www.ics.uci.edu/~jutts/110/InstallingRandRStudio.pdf" class="linkified">http://www.ics.uci.edu/~jutts/110/InstallingRandRStudio.pdf</a>).</p> <p>We will walk you through the R programming basics, help with FAQs, point you to relevant learning resources, and any other fundamental R questions you may have!</p> <p>REGISTRATION:<br/><a href="https://www.eventbrite.com/e/introduction-to-r-tickets-71354014779" class="linkified">https://www.eventbrite.com/e/introduction-to-r-tickets-71354014779</a></p> <p>PROGRAM:<br/>5.40 doors open, the workshop starts at 6 pm.<br/>BYO food, or eat on the way over. We'll supply tea, coffee and biscuits!</p> <p>WHAT IS COVERED:<br/>Getting to know RStudio<br/>Types of data and basic manipulations<br/>Graphics in R</p> <p>RLadies Adelaide is part of the international organization RLadies Global and aims to encourage more women to get involved in their local programming communities. We encourage all genders to attend our events, and aim always to create a welcoming environment. All talks and workshops at RLadies will be presented by women, in order to strengthen the presence of women in the coding community. We hope to see you at our next event!</p>
<p>Join us on Thursday mornings to work on our individual programming projects over coffee. Let's motivate each other to keep to our coding goals! The first Keep Calm and Code will be on the morning of the 19th of September.</p> <p>All genders welcome. At least one RLadies Adelaide organiser will be there - drop in for half an hour to try a new package, or stay for two hours and work through an online course.</p> <p>This is not a workshop - the RLadies organisers will be working on their own projects and are not there in a teaching capacity. They are there as your community, to support and motivate you whilst they work on their own coding goals!</p> <p>We'll be in the communal desk space on the ground floor of the Adelaide Health and Medical Sciences building (no scan pass required), next to Bean Bar. Grab yourself a coffee and come and find us!</p> <p>Eduroam wifi will be accessible. If you are not a part of the eduroam network, you will need to hotspot in order to access the internet.</p>
<p>Join us on Thursday mornings to work on our individual programming projects over coffee. Let's motivate each other to keep to our coding goals! The first Keep Calm and Code will be on the morning of the 19th of September.</p> <p>All genders welcome. At least one RLadies Adelaide organiser will be there - drop in for half an hour to try a new package, or stay for two hours and work through an online course.</p> <p>This is not a workshop - the RLadies organisers will be working on their own projects and are not there in a teaching capacity. They are there as your community, to support and motivate you whilst they work on their own coding goals!</p> <p>We'll be in the communal desk space on the ground floor of the Adelaide Health and Medical Sciences building (no scan pass required), next to Bean Bar. Grab yourself a coffee and come and find us!</p> <p>Eduroam wifi will be accessible. If you are not a part of the eduroam network, you will need to hotspot in order to access the internet.</p>
<p>Join us on Thursday mornings to work on our individual programming projects over coffee. Let's motivate each other to keep to our coding goals! The first Keep Calm and Code will be on the morning of the 19th of September.</p> <p>All genders welcome. At least one RLadies Adelaide organiser will be there - drop in for half an hour to try a new package, or stay for two hours and work through an online course.</p> <p>This is not a workshop - the RLadies organisers will be working on their own projects and are not there in a teaching capacity. They are there as your community, to support and motivate you whilst they work on their own coding goals!</p> <p>We'll be at Bean Bar. Grab yourself a coffee and come and find us!</p> <p>Eduroam wifi will be accessible. If you are not a part of the eduroam network, you will need to hotspot in order to access the internet.</p>
<p>We are excited to announce we will have a team at Hackseq19! Hackseq is an annual genomics hackathon held at UBC.</p> <p>Our project will be looking at Trends in Bioinformatics by using web scraping then visualizing and cleaning up our data in R. This team will be open to beginners looking to improve their proficiency with R. No knowledge about genomics is necessary but if you have a background in it that work be a major plus! More information about Hackseq can be found here: <a href="https://www.hackseq.com/hackseq19#descriptions" class="linkified">https://www.hackseq.com/hackseq19#descriptions</a></p> <p>Sign up for Hackseq before Sept 27th here: <a href="https://docs.google.com/forms/d/e/1FAIpQLSf9rT_Dzeo2FtAqRSaB3jOKDRjvtnGFj8s_L7k9r3lU61MfmA/viewform?fbclid=IwAR0l-7WJbVj_py39bNZ0Lg9LNYQbdVFVCnnkT6ecwmWZcF16iv-XQGgFnmk" class="linkified">https://docs.google.com/forms/d/e/1FAIpQLSf9rT_Dzeo2FtAqRSaB3jOKDRjvtnGFj8s_L7k9r3lU61MfmA/viewform?fbclid=IwAR0l-7WJbVj_py39bNZ0Lg9LNYQbdVFVCnnkT6ecwmWZcF16iv-XQGgFnmk</a></p>
<p>**THIS IS NOT AN RLADIES HOSTED EVENT**</p> <p>Hi everyone!! Our friends over at WiMLDS are hosting a NeurIPS special meetup during the popular Machine Learning conference- It will be featuring a series of talks, panel discussion, and networking event of many R-focussed ML experts who are presenting at the conference. For some more advanced R learners who are interested in ML, NeurIPS is a great conference to get exposed to the newest trends and highly advanced techniques in neural information processing systems. You can find more about the conference here: <a href="https://nips.cc/" class="linkified">https://nips.cc/</a> -- unfortunately, we do not have discount codes available for conference entry (but you may have more luck asking WiMLDS at their meetup discussion page). Our ML-focussed organizer Lucia will be attending the entire conference, and I will also be attending this special event. See you all there!</p> <p>To ensure a spot at the special event, please RSVP at <a href="https://www.meetup.com/Vancouver-Women-in-Machine-Learning-and-Data-Science/events/266670497/" class="linkified">https://www.meetup.com/Vancouver-Women-in-Machine-Learning-and-Data-Science/events/266670497/</a></p> <p>If you have any questions, concerns, or comments please post on the meetup event linked above. Because this event is not hosted by Rladies, attendees of that event are expected to familiarize themselves and adhere to WiMLDS's Code of Conduct.</p>
<p>Natasha Stamler,MIT student and former NASA Datanaut and Research Assistant at Columbia University Center for Climate Systems Research will present an introduction into GIS .</p> <p>The talk will include a general overview of GIS (capabilities, everyday examples, key terminologies), basic use cases and important techniques, working examples, things for them to try out, and resources for them to learn more. She will focus on space/satellite-related datasets that could be relevant for the competition and provide context to show the importance of space in collecting the spatial data that makes up GIS.</p> <p>Her topic would be an overview of GIS and thesis would be showing how space and GIS are intrinsically linked, such that by combining the two, we can identify and solve complex, large-scale problems on Earth. Her talk will give them the resources and basic skills to explore GIS and its relationship to space and problem-solving in greater depth.</p> <p>Registartion is open!<br/><a href="https://forms.gle/huSD82FxUvrm5HBX8" class="linkified">https://forms.gle/huSD82FxUvrm5HBX8</a></p>
<p>Sony Green, co-founder of Kineviz will give a talk about their graph database - GraphXR!</p> <p>Kineviz is a San Francisco-based data visualization startup. Our platform, GraphXR, is used in a diverse range of contexts including medical research, law enforcement, and business intelligence. GraphXR accelerates data scientists and empowers business users in the gathering, modeling, and analysis of high-dimensional and connected data within an interactive visual environment. Kineviz co-founder Sony Green will present an overview of GraphXR’s interface with a range of demo data sets drawn from finance, entertainment, geology, and more. For a preview, visit <a href="https://youtu.be/nGd9ChapK2o" class="embedded">https://youtu.be/nGd9ChapK2o</a></p> <p>GraphXR is free for personal use and offers monthly and annual subscriptions for business and institutional users.</p>
<p>Space Apps Lviv is welcome our next speaker Justin Gosses,<br/>Senior Data Scientist S.A.I.C contractor supporting NASA OCIO (Office of the Chief Information Officer) Open-Innovation Program and his talk "A Tour of NASA’s Data Universe for Space Apps Participants".</p> <p>Understanding why so many sites and how they fit together can help you know where to look for datasets to solve NASA Space Apps Challenges!</p> <p>Registration:<br/><a href="https://forms.gle/huSD82FxUvrm5HBX8" class="linkified">https://forms.gle/huSD82FxUvrm5HBX8</a></p>
<p>ЩО ТАКЕ NASA SPACE APPS CHALLENGE❓<br/>NASA Space Apps Challenge - це найбільший міжнародний космічний хакатон організований за підтримки NASA (Національного управління з аеронавтики і дослідження космічного простору США) в різних країнах.</p> <p>В 2018 році учасниками хакатонів Space Apps стали більше[masked] представників з 75 країн!</p> <p>Space Apps проводиться щорічно і збирає тисячі інноваторів, кодерів, дизайнерів, аналітиків і шанувальників космосу. Учасники хакатону об'єднуються в команди і протягом 48-годин вирішують практичні завдання в одній з шести категорій дослідження космічного простору і навколишнього середовища.</p> <p>Місце проведення: DataArt, Smal-Stotskoho St, 1, L'viv, L'vivs'ka oblast, 79000</p> <p>Дата: 18-20 жовтня</p> <p>Участь в хакатоні безкоштовна!</p> <p>ХТО МОЖЕ БРАТИ УЧАСТЬ В ХАКАТОНІ❓<br/>До змагання можуть приєднатися: студенти, аналітики, науковці, програмісти, дизайнери, письменники, мейкери, інженери і всі фанати космосу і технологій.</p> <p>ЧОГО ЧЕКАТИ ПІД ЧАС ХАКАТОНУ❓<br/>Багато годин командної роботи, дискусій з представника космічної сфери, менторами.</p> <p>Всі учасники отримають дипломи про участь, переможці локального хакатону отримають спеціальні призи від організаторів. Переможці міжнародного фіналу отримають запрошення на екскурсію в Космічний центр Кеннеді (США).</p>
<p>Hi Boulder useRs! We're excited to get the paRty started with our official kickoff meeting!</p> <p>We plan to introduce the organizers of the group and, more importantly, get to know all of you, how you use R, and what'd you love to see from this group.</p> <p>Each organizer (Courtney, Lisa, Marta, and Leigh) will also briefly present a fun and/or useful R package created by a women, so we can all learn something while getting to know each other. So bring your thoughts, ideas, and enthusiasm! You can bet we will.</p> <p>5:45-6:00pm - Arrival and mingling<br/>6:00-7:00pm - Introductions and presentations<br/>7:00-7:30pm - Wrap up and more mingling</p> <p>Venue and refreshments graciously provided by SomaLogic.</p> <p>Can't wait to see you all soon!</p>
<p>Hi Boulder UseRs! Join us for this month's R Ladies Meetup: TidyTuesday!</p> <p>We plan to participate in TidyTuesday, which is a fun, low-stress coding challenge posted weekly by the R4DS online learning community.</p> <p>** Please bring your laptops!**</p> <p>The goal of TidyTuesday is to flex your tidyverse muscles for data wrangling and plotting. However, if you're new to tidyverse (or a die-hard base R useR), you are also more than welcome to join! This is a chance to learn from more experienced tidyverse useRs and make new connections at the same time.</p> <p>For more information on TidyTuesday, see here: <a href="https://github.com/rfordatascience/tidytuesday" class="linkified">https://github.com/rfordatascience/tidytuesday</a></p> <p>5:45-6:00pm - Arrival and mingling<br/>6:00-6:15pm - Introductions &amp; instructions<br/>6:15-7:15pm - TidyTuesday group coding challenge!</p> <p>Venue and refreshments graciously provided by SomaLogic.</p> <p>Can't wait to see you all there!</p>
<p>Hi Boulder UseRs! Join us for this holiday edition of R Ladies: Ugly Holiday Plot Contest!</p> <p>This extRa special Meetup is a chance for you to let your holiday enthusiasm loose and share with us your ugliest holiday-themed plots. We will also be at a special location: North Boulder Upslope Brewing Company!</p> <p>*****Please submit your ugly holiday plots to [masked] by December 9th to be included in the ugly plot contest!***** Those without ugly plot submissions are also welcome to attend! All are encouraged to wear ugly holiday attire. For inspiration: reddit.com/r/DataIsUgly/.</p> <p>During the meeting we will be showing off all of the lovely ugly plot submissions with the option for submitters to say a few words about their plots if they want! Winners will be selected by categories (think: "most likely to make somebody lose their eyesight" or "most variables plotted at once").</p> <p>Refreshments graciously provided by SomaLogic.</p> <p>Can't wait to see you all there!</p>
<p>¡Hola!<br/>Este miércoles haremos una nueva versión de nuestro taller de Introducción a la programación con R. ¿Quieres aprender a utilizar R en un ambiente amable e inclusivo? ¡Te esperamos! No es necesario tener ningún conocimiento previo sobre computación.</p> <p>&gt; ¿Qué necesito para participar?<br/>Lo primero, es leer nuestro nuestro código de conducta. Es requisito para asistir estar de acuerdo con él: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish</a><br/>En esta ocasión haremos el taller en una sala de computación, por lo que no es necesario traer tu computador personal.</p> <p>¡Te esperamos!</p>
<p>¡Hola!<br/>Luego de una pausa en febrero, retomamos nuestra temporada de talleres 2019: el próximo jueves 28 de marzo nos reuniremos para aprender sobre regresiones lineales de la mano de Sara Acevedo, estudiante del doctorado en Ciencias de la Ingeniería de la UC. En esta ocasión nos reuniremos a las 18:00 en las oficinas de Tanner ubicadas en Estado 337. ¡Muchas gracias por recibirnos!</p> <p>Durante la sesión recordaremos algunos conceptos básicos de R y luego desarrollaremos modelos lineales. Todos los datos que utilizaremos vienen incluidos en R base, por lo que no es necesario descargarlos. Sí es importante que tengas instalados con antelación los paquetes que usaremos: `tidyverse` y `caret`. No olvides traer tu computador con la batería cargada, ya que hay muy pocos enchufes en la sala.<br/>Si es la primera vez que asistes, recuerda revisar nuestro código de conducta. Es requisito para asistir estar de acuerdo con él: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish</a></p> <p>¡Te esperamos!</p>
<p>¡Hola!</p> <p>Este evento es distinto a los que hemos organizado antes, así que por favor revisa los detalles de más abajo con detención &lt;3</p> <p>Este año LatinR, la Conferencia sobre usos de R en Investigación + Desarrollo, se realizará en Santiago y la convocatoria para el envío de propuestas para presentaciones y pósters ya está abierta: <a href="https://easychair.org/cfp/latinr2019" class="linkified">https://easychair.org/cfp/latinr2019</a> . El equipo organizador de LatinR y nosotras como RLadies queremos que sea un espacio diverso, y una manera de lograrlo es fomentando que más mujeres y otros grupos sub-representados en tecnología participen presentando trabajos.</p> <p>Para lograr este objetivo, hemos organizado para este jueves 4 de abril una actividad para que puedas darle el puntapié inicial al desarrollo de tu propuesta. No importa si por ahora solo tienes una vaga idea de lo que quieres presentar, tomaremos esa idea y te ayudaremos a potenciarla para que se convierta en una propuesta.</p> <p>La actividad funciona así: entre 16:00 y 17:30 estaremos en el Café Triciclo, ubicado en Vicuña Mackenna 38. Ven con tu idea en algún momento de ese horario para que conversemos acerca de ella. Es una conversación 1 a 1, apta para introvertidas :) Así de simple. Si te compras un café o un té para retribuir la buena onda del Café Triciclo, mejor aún.</p> <p>Como esta actividad tiene por objetivo fomentar la diversidad de género de la conferencia, sus destinatarias son mujeres y personas que se identifican con un género disidente.</p> <p>Si es primera vez que asistes en uno de nuestros eventos, es necesario que leas nuestro código de conducta, ya que aceptar esos términos es requisito para participar: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish</a></p> <p>¡Te esperamos!</p>
<p>¡Ya tenemos fecha para nuestro próximo meetup!<br/>El lunes 29 de abril a las 18.15 nos reuniremos para una charla y un taller sobre R. ¡Gracias Tanner por recibirnos nuevamente!</p> <p>- Charla<br/>Riva Quiroga (www.twitter.com/rivaquiroga) nos contará sobre #DatosDeMiercoles, la versión en español de #TidyTuesday, un proyecto semanal de visualización de datos organizado por la comunidad de R. En la charla nos explicará cómo funciona y por qué es importante que te animes a participar.</p> <p>- Taller<br/>Camila Valdés (www.twitter.com/camivaldes) nos mostrará cómo utilizar Shiny, el paquete de R para crear aplicaciones web. Como se trata de un taller práctico, es necesario que traigas tu computador con los siguientes paquetes instalados: shiny, shinydashboard y tidyverse.</p> <p>Si es la primera vez que asistes, recuerda revisar nuestro código de conducta. Es requisito para asistir estar de acuerdo con él: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish</a></p> <p>¡Te esperamos!</p>
<p>¡Tenemos una visita! Silvia Gutiérrez (<a href="http://twitter.com/espejolento" class="linkified">http://twitter.com/espejolento</a>) de RLadies Ciudad de México estará de visita en Santiago. Y junto con Riva Quiroga (www.twitter.com/rivaquiroga), han estado preparando un taller a dúo sobre análisis de textos usando R.</p> <p>Las esperamos el próximo lunes 27 de abril a las 18.00 en las oficinas de Tanner. ¡Muchas gracias Tanner por recibirnos nuevamente!</p> <p>Para el taller, es importante que traigan instalados los siguientes paquetes: stylo, gutenbergr, tokenizers, pdftools, wordcloud y tidyverse. En los próximos días publicaremos en los comentarios el enlace para descargar los datos que utilizaremos.</p> <p>Si es la primera vez que asistes a uno de nuestros eventos, recuerda revisar nuestro código de conducta. Es requisito para asistir estar de acuerdo con él: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish</a></p> <p>¡Te esperamos!</p>
<p>[editado el 14 de junio]</p> <p>El próximo lunes 17 de junio nos volvemos a reunir. En esta ocasión, Ekhos nos recibe en sus oficinas ubicadas muy cerca del metro Tobalaba :)<br/>La sesión estará dividida en dos:</p> <p>1. En la primera parte, Riva Quiroga (<a href="https://twitter.com/rivaquiroga" class="linkified">https://twitter.com/rivaquiroga</a>) nos mostrará diversas aproximaciones a la extracción de tablas que están en archivos en pdf. Los paquetes que debes tener instalados para esta parte son {tidyverse}, {tesseract}, {datapasta} y {tabulizer}. Una vez que instales {tesseract}, ejecuta el siguiente código en R para descargar el modelo para español: tesseract::tesseract_download("spa"). Si tu sistema operativo es Linux, debes hacerlo en el terminal (sudo apt install tesseract-ocr-spa).</p> <p>2. En la segunda parte, Stefanni Cavaletto (<a href="https://twitter.com/stefanni_ch" class="linkified">https://twitter.com/stefanni_ch</a>) nos mostrará cómo trabajar con modelos compilados (`stacked models`). Los paquetes que debes tener instalados son: {pacman}, {e1071}, {corrplot} y {tidyverse}. Los datos que utilizaremos puedes descargarlos desde este enlace: <a href="https://www.dropbox.com/s/atpb1ga9ecql2uq/karan-churn.xlsx?dl=0" class="linkified">https://www.dropbox.com/s/atpb1ga9ecql2uq/karan-churn.xlsx?dl=0</a></p> <p>Si tienes dudas sobre si todo quedó bien instalado en tu computador, te sugerimos llegar 15 minutos antes para que veamos cómo resolverlo.</p> <p>Si es la primera vez que asistes a uno de nuestros eventos, recuerda revisar nuestro código de conducta. Es requisito para asistir estar de acuerdo con él: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish</a></p> <p>¡Te esperamos!</p>
<p>Este lunes 29 de julio nos reuniremos para aprender sobre RMarkdown de la mano de Gaby Sandoval (<a href="https://twitter.com/GabySandovalM" class="linkified">https://twitter.com/GabySandovalM</a>). El énfasis estará puesto en la personalización de tablas, gráficos y presentaciones.<br/>Para el taller es necesario que tengas instalada la última versión de RStudio, el paquete {datos} [install.packages("datos")] y Miktex (<a href="https://miktex.org/" class="linkified">https://miktex.org/</a>). Si tienes dudas sobre la instalación, te sugerimos llegar unos minutos antes para que revisemos que tienes todo lo necesario.<br/>Además, Riva Quiroga nos contará sobre su experiencia participando en la conferencia useR! 2019, que se realizó a principios de mes en Toulouse (<a href="http://www.user2019.fr/" class="linkified">http://www.user2019.fr/</a>), y entregará orientaciones sobre cómo postular a las becas de diversidad para LatinR 2019 (<a href="http://latin-r.com/" class="linkified">http://latin-r.com/</a>).</p> <p>Si es la primera vez que asistes a uno de nuestros eventos, recuerda revisar nuestro código de conducta. Es requisito para asistir estar de acuerdo con él: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish</a></p> <p>¡Muchas gracias Microsoft por recibirnos!</p>
<p>¡Hola!</p> <p>Este evento es distinto a los que organizamos habitualmente, así que por favor revisa los detalles de más abajo detenidamente &lt;3</p> <p>Ya está abierta la convocatoria a las becas de diversidad de la rstudio::conf, la conferencia anual que organiza RStudio y que este año se realizará en San Francisco a fines de enero de 2020. Este lunes organizaremos un evento colaborativo sobre cómo postular. La idea es conversar sobre las cosas que haces y cómo potenciarlas al completar el formulario. También hablaremos sobre formas en que puedes compartir el código que has escrito (Github + creando un sitio web con blogdown). No olvides revisar la convocatoria con anterioridad: <a href="https://blog.rstudio.com/2019/08/30/diversity-scholarships/" class="linkified">https://blog.rstudio.com/2019/08/30/diversity-scholarships/</a></p> <p>La actividad funciona así: entre 18:30 y 20:00 estaremos en el Café Triciclo, ubicado en Vicuña Mackenna 38. Ven con las ideas que tienes para tu postulación en algún momento de ese horario para que conversemos acerca de ellas. La conversación puede ser en modalidad 1 a 1, apta para introvertidas :) Si te compras un café o un té para retribuir la buena onda del Café Triciclo, mejor aún.</p> <p>Como nuestro objetivo con esta actividad es promover la diversidad de género de la conferencia, sus destinatarias son personas que se identifican como mujeres o con un género disidente.</p> <p>Si es primera vez que asistes a uno de nuestros eventos, es necesario que leas nuestro código de conducta, ya que aceptar esos términos es requisito para participar: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish</a></p> <p>¡Te esperamos!</p>
<p>This time, we invite you to meet at the Cowork'in Montpellier, near the park of Peyrou, to code togetheR on different themes, Tidyverse, ggplot2, github... Criscely will present us the Github workflow. And we will help each other to progress in R :-)<br/>Remember to bring your computer, there is wifi on site.<br/>You can bring something to drink and snack to share together.</p>
<p>At this MeetUp Yan will talk about the philosophy behind Data to Viz.<br/>Topics will include:<br/>- The spectrum choices available for visualising data<br/>- Methods to assess the most appropriate visualisation<br/>- Common mistakes and how to avoid them<br/>- How to built great charts with R, ggplot2 and more</p> <p>After Yan's presentation we will be able to discuss about R and help each other.<br/>You can bring your computer with you if you wish.<br/>We look forward to seeing you there.</p>
<p>(Message in English below)</p> <p>Bonjour à tous !<br/>Nous préparons l'organisation de notre quatrième meeting R-Ladies Montpellier!<br/>À cette occasion, nous souhaiterions faire une sorte de table ronde où l'on présenterait chacun notre tour de ce qu'on fait avec R.<br/>Cela pourra nous aider à mieux nous connaître et créer plus de collaboration entre nous pour les rencontres suivantes.<br/>Cela nous aidera également à savoir quelles personnes inviter avec des sujets qui pourraient intéresser le plus de monde.<br/>Lors de cette table ronde, si vous souhaitez présenter un ppt, vos principaux packages, vos axes de recherche, tout ce qui nous aide à en savoir plus sur vous est le bienvenu!</p> <p>Nous vous attendons et nous sommes très heureux de continuer à avancer petit à petit en groupe!</p> <p>La date prévue pour cette rencontre est le 30 avril, et le lieu sera bientôt annoncé.</p> <p>Cécile et Criscely</p> <p>###################################################################</p> <p>Hello everyone!<br/>We are organizing our fourth meeting R-Ladies Montpellier!<br/>In this opportunity, we would like to have a kind of round table where each of us would present we are doing with R.<br/>This will help us to know each other better and create more collaboration between us for future meetings.<br/>It will also help us to know which people to invite with topics that could interest the most people.<br/>During this round table, feel free to present a ppt, with information about your main packages, your research axes, everything that helps us to know more about you is welcome!</p> <p>We are waiting for you and we are very happy to continue advancing little by little in a group!</p> <p>The date for this meeting is April 30, and the place will be announced shortly.</p> <p>Cécile and Criscely</p>
<p>Salut à tous !<br/>Pour ce prochain meetup nous avons l'honneur d'accueillir une invitée EXCEPTIONNELLE, Susan Holmes, qui viendra nous parler de l'analyse des données hétérogènes avec R, appliquée à la santé et au microbiome.</p> <p>Hi everybody !<br/>For this next meeting we are honored to welcome an EXCEPTIONAL guest, Susan Holmes, who will talk to us about the analysis of heterogeneous data with R, applied to health and microbiome.</p>
<p>We are very happy to welcome Saras, comming from Melbourne, for the next meeting. She will talk to us about reproducibility.<br/>Please remember to fill in your real first and last name so that we can make prior authorization requests to enter the CNRS 2 days before the meetup.</p> <p>See you soon :)</p> <p>Abstract: Research using R underpins a wide array of applied decision-making. Growing recognition of irreproducibility of results produced using R raises concerns about the credibility of research and the reliability of decisions they inform. Although there are many aspects to reproducible research, one major problem is the basic lack of computational reproducibility of published work – or the ability to rerun an analysis and reproduce the same results. There are many strategies for improving computational reproducibility, such as clear code structure, functional programming, and version control. Besides these tactics, however, we often find that analyses that reproduce on one machine or in one environment do not run in another, or do not run in the future. This problem is related to changing computing environments and software versions, and can be addressed using containerisation. In this talk, I will introduce containerisation and its implementation using an open-access R package. This introduction should be accessible to those who have never heard of or used containerisation before, as well as those who already actively use services such as Docker for containerisation.</p>
<p>It's cold, the holidays are over, and bosses everywhere seem to think that it's time to get back to work. What better way to cope than by joining your favorite R-Ladies group for a happy hour with friends, good food and good drinks to warm us up? Hope to see you there!</p>
<p>Join us in February and March for a good cause! We'll be running a virtual "datathon" to help PAWS (the city's largest no-kill shelter) with data analytics to help them further improve their adoption and foster programs. At this kickoff event, we'll share the project description, we'll go over the dataset, and we'll form small groups that will then work together for a month over Slack and GitHub to help PAWS answer specific questions. We will reconvene in March for the grand conclusion, and to share our experiences with the process.</p> <p>This will provide a great opportunity for everyone involved to get hands on experience working on a community data science project. You don't need anything more than enthusiasm and a computer to get started! Stay tuned for more details - they will be posted here as we finalize the datasets.</p> <p>---<br/>What to bring:<br/>* Bring your laptop - we will be using R, Git, and Slack for this project and we can help you get set up with these tools - all experience levels are welcome<br/>* We will have pizza and soda</p> <p>---<br/>Getting there:<br/>This event is hosted by WeWork in their Northern Liberties location (in the Piazza @ 1010 North Hancock Street). This location is less than a ten minute walk away from Spring Garden or Girard MFL stations.</p> <p>About WeWork:<br/>WeWork is a community for creators. We transform buildings into<br/>beautiful, collaborative workspaces and provide the infrastructure, services, events and technology so our members can focus on doing what they love. WeWork currently has 111 locations in 29 cities across the world with over 70,000 members. Book a tour at wework.com now!</p>
<p>Join us in March for a celebration of our community data project!</p> <p>Since February, we have been running a virtual "datathon" to help PAWS (the city's largest no-kill shelter) with data analytics to help them further improve their adoption and foster programs. For more information, check out the February meetup and the project on GitHub (<a href="https://github.com/rladiesPHL/2019_datathon" class="linkified">https://github.com/rladiesPHL/2019_datathon</a>).</p> <p>At this finale event, we will reconvene for the grand conclusion, and to share our experiences with the process. Participating teams will share their work and results.</p> <p>This event is open to everyone (you don't need to have attended the February event or participated in the datathon). If you are curious about what R can do, or what data science is, then this is a great event to check out!</p> <p>---<br/>What to bring:<br/>* If you participated in the datathon, organizers will be coordinating with teams to present their projects and results.<br/>* Pizza and soda will be available at 6</p> <p>---<br/>Getting there:<br/>This event is hosted by Drexel LeBow College of Business at 3220 Market Street. Once you enter LeBow Hall, take the elevators to the 7th floor. We are in the Hindelang Colloquium Room (room 722) on the east side of the building.</p>
<p>While we love nerding out on stats during our monthly meetups, join us at our Spring Happy Hour for an evening of networking and casual conversations to celebrate spring, and the fact that the cold winter months are finally behind us. Bring yourself, a friend (or two, or three), and a positive attitude, and you'll fit right in!</p>
<p>DataJawn (<a href="http://datajawn.com/" class="linkified">http://datajawn.com/</a>) is coming up soon! We have a great lineup of speakers at this half-day event and we look forward to seeing you there! If you haven't already purchased your ticket head on over to <a href="https://compassred.ticketleap.com/philly-data-jawn-2019/" class="linkified">https://compassred.ticketleap.com/philly-data-jawn-2019/</a> and get one!</p> <p>Keynote Speaker:<br/>Lia Pizzicato<br/>Substance Use Epidemiologist for the Opioid Program<br/>Leveraging Data to Monitor the Opioid Epidemic in Philadelphia</p> <p>Speakers:<br/>Marieke Jackson<br/>Non-Profits and Data Systems: A Case Study</p> <p>Kevin Minkus<br/>Distant Reading SpongeBob SquarePants</p> <p>Michael Becker<br/>Making a Career in Data Science</p> <p>Joey Logan &amp; Stephanie Sullivan<br/>Data Science and Congressional Apportionment</p> <p>Christina Blake<br/>Scaling Audience Research with Data Visualization</p> <p>Sharath Bennur<br/>Productization of Machine Learning</p> <p>Kiana Montazeri<br/>Genre classification Based on Mel-Frequency IFT Coefficients of Audio Signal</p> <p>Ben Garvey<br/>HOWTO: Spend $4.2 Billion in Philadelphia</p> <p>Jena Vint<br/>The Journey to Becoming a Data Scientist</p> <p>Greg Dobler<br/>Better Cities through Imaging</p>
<p>This workshop will cover some more advanced topics of data visualization in R, specifically focusing on the ggplot package. Topics will include library extensions and add-in apps, tips and tricks (e.g. facet_grid margins), common troubles with ggplot (e.g. sorting in descending order) and best practices. Some familiarity with R and ggplot will be useful and expected, but not required - novice R users are encouraged to attend. We will be using RStudio Cloud for this workshop. We recommend creating a free account ahead of time here: <a href="https://login.rstudio.cloud/register" class="linkified">https://login.rstudio.cloud/register</a></p> <p>Speaker:</p> <p>Jake Riley is a clinical data analyst at the Children's Hospital of Philadelphia (CHOP). He enjoys developing tools for analytic teams and specializes in data visualization and geospatial information systems (GIS).</p> <p>Getting there:</p> <p>This event is hosted by WeWork in their Northern Liberties location (in the Piazza @ 1010 North Hancock Street). This location is less than a ten minute walk away from Spring Garden or Girard MFL stations.</p> <p>Event Sponsors:</p> <p>WeWork is a community for creators. We transform buildings into beautiful, collaborative workspaces and provide the infrastructure, services, events and technology so our members can focus on doing what they love. WeWork currently has 425 locations in 100 cities and 27<br/>countries across the world with over 400,000 members. Book a tour at wework.com now!</p>
<p>It's summer! Put your laptops away and join us for an evening of informal networking and casual conversation as we enjoy Philly's traveling beer garden, Parks on Tap (if the weather is good; otherwise we'll be enjoying one of Philly's wonderful indoor bars). Bring yourself, a friend (or two, or three), and a positive attitude, and you'll fit right in!</p>
<p>Join R-Ladies Philly for a relaxing Wednesday evening of coffee, conversation, and coding!</p> <p>We will meet at Good Karma (928 Pine Street) from 6-8 PM on August 21, 2019 for an informal opportunity to share current R projects with one another, debug code, and network (and of course indulge in delicious coffee and pastry).</p> <p>Please bring your laptop. The cafe has free WiFi, but attendees are responsible for paying for their own food/drink. Good Karma requires that all attendees make a purchase.</p> <p>Because space is limited, we can only accommodate a limited number of attendees - please RSVP before space runs out and keep your RSVP up-to-date if anything changes.</p> <p>See you there!</p>
<p>Come connect with one another, make friends and learn about local tech at this year's Super Meetup!</p> <p>The Super Meetup is a gathering of the most-connected members of the local tech, startup, and entrepreneurial scene. It’s a chance to make new friends and learn more about local tech and entrepreneurial resources and tech-focused meetup groups.</p> <p>The idea of the Super Meetup is simple: meetups are integral to any tech scene. Every now and then, it makes sense to rally the leaders of tech-related meetups in town and gather for one big mixer. The idea is to connect people with groups they may not have otherwise known about. Be sure to grab some food and drinks and hang with your favorite Meetups.</p> <p>What to expect:</p> <p>• Learn about the participating meetups and chat with the organizers one-<br/>on-one to find out more ways to get involved.<br/>• Grab free beverages and snacks!<br/>• Bring plenty of business cards and lots of energy! There will be a number<br/>of people you will want to network with.<br/>• Find opportunities with the exhibiting sponsors (and grab some sweet<br/>swag)</p>
<p>R Markdown is one of the industry standards for presenting and sharing reproducible research. In this talk, Ramaa will be presenting some of her independent research done in R Markdown on Survival Analysis of Breast Cancer Data using the public dataset made available by The Cancer Genome Atlas (TCGA) Program.</p> <p>Ramaa Nathan is a data enthusiast with several years of experience in data analytics, software development, and project management in the finance and healthcare industries. She is now a statistician and data scientist exploring opportunities in the healthcare industry.</p> <p>-----<br/>Getting there:</p> <p>This event is hosted by WeWork in their Center City location at 1900 Market.</p> <p>Event Sponsors:</p> <p>WeWork is a community for creators. We transform buildings into beautiful, collaborative workspaces and provide the infrastructure, services, events and technology so our members can focus on doing what they love. WeWork currently has 425 locations in 100 cities and 27 countries across the world with over 400,000 members. Book a tour at wework.com now!</p>
<p>Join R-Ladies Philly for another evening of coffee, conversation, and coding!</p> <p>We will meet at Good Karma (928 Pine Street) from 5:30-7:30 PM for an informal opportunity to share current R projects with one another, debug and review code, and network (and of course indulge in delicious coffee and pastry).</p> <p>Please bring your laptop. The cafe has free WiFi, but attendees are responsible for paying for their own food/drink. Good Karma requires that all attendees make a purchase.</p> <p>Space is limited so we can only accommodate a limited number of attendees - please RSVP before space runs out and update your RSVP if your plans change.</p> <p>See you there!</p>
<p>Networks, also referred to as graphs in mathematics, model multiple types of relations and processes in physical, social, biological, and information systems. This workshop will cover some basics of network components and graph theory, while specifically focusing on how to implement network analyses using R igraph object. The topics will include manipulation, measurement, and clustering of networks using igraph package and visualization with ggraph package. The workshop will end with a practice problem using real-world flight network data. Some familiarity with dplyr and ggplot will be useful and expected, but not required.</p> <p>About our speaker:</p> <p>Chun Su is a bioinformatics scientist at Children’s Hospital of Philadelphia, and also a R-ladies Philly co-organizer. Her research interest is to study the influence of the gene regulatory networks on the genetic susceptibility for childhood diseases using high-throughput genomics data.</p> <p>About our sponsor:</p> <p>O3 World is a leading digital product design and development agency. They combine strategy, innovation, and a deep understanding of the current and emerging digital ecosystem to deliver results for clients. Headquartered in Philadelphia, they emphasize a balanced approach to design, innovative technological solutions, and award-winning agency culture. To learn more, visit <a href="http://www.o3world.com" class="linkified">http://www.o3world.com</a>.</p> <p>Getting there:</p> <p>Enter the building at 1339 Frankford Avenue and walk upstairs. O3 World is two blocks north of the Girard and Frankfurt MFL stop. For parking, there's a paid lot at 1230 North Front Street.</p>
<p>It's officially fall! Put your laptops away and join us for an evening of informal networking and casual conversation at Good Dog Bar. Feel free to bring a friend (or two, or three) and meet us at the upstairs bar area.</p>
<p>Join R-Ladies Philly for another evening of coffee, conversation, and coding!</p> <p>We will meet at Good Karma (928 Pine Street) from 6:00-8:00 PM for an informal opportunity to share current R projects with one another, debug and review code, and network (and of course indulge in delicious coffee and pastry).</p> <p>Please bring your laptop. The cafe has free WiFi, but attendees are responsible for paying for their own food/drink. Good Karma requires that all attendees make a purchase.</p> <p>Space is limited so we can only accommodate a limited number of attendees - please RSVP before space runs out and update your RSVP if your plans change.</p> <p>See you there!</p>
<p>Happy New Year! How is #RYouWithMe going?</p> <p>If you haven't found the time, no problem. You can start now. There are 3 modules launched (Basic Basic, Clean it Up, VizWhiz) and 12 lessons in total. The lessons include screencasts and practice exercises that each take about 30 min. Follow the links from here...</p> <p><a href="https://rladiessydney.org/ryouwithme" class="linkified">https://rladiessydney.org/ryouwithme</a></p> <p>Have you had a go at #RYouWithMe, but got stuck along the way? Or maybe you have walked through all 12 lessons but now don't know how to start with your own data?</p> <p>Don't panic, we can help. Bring your laptop, your data, and all your #RYouWithMe problems on Jan 23. It will be a troubleshooting session where you can ask questions and get your RYouWithMe journey going again.</p> <p>See you there!<br/>Jenny</p>
<p>RMarkdown is becoming THE way to create reproducible reports of analyses carried out in R. As if RMarkdown weren’t great enough for that purpose, there is also a veritable feast of markdown-related packages that can be used to create everything from blogs, books, and posters, to slides, CVs, and interactive dashboards.</p> <p>At Markdown Throwdown, you’ll hear short talks showcasing the power of RMarkdown. Maybe your RMarkdown experience is as limited as "I know how to knit a document into an html report". Or maybe you have played around with blogdown, radix, pagedown, bookdown, thesisdown, rticles, vitae, papaja, flexdashboard, learnr, tufte, remedy, namer, or xarigan (see! it IS a feast!). Perhaps you don’t even know what Markdown is! No matter what, we guarantee you’ll learn something at our Markdown Throwdown!</p> <p>You might also guess what that means! We’re looking for Throwdown participants (read: presenters; trust us, this is not as scary as it sounds!). This is an opportunity to demo your RMarkdown skills for the audience, showcasing something amazing that can be done in RMarkdown. No skill is ‘too limited’ - even experienced data scientists who use R every day might not know anything about Markdown! So if you’re at all inclined to present, go for it!</p> <p>Interested in presenting? Fill in this form, or email [masked] with questions.</p> <p><a href="https://goo.gl/forms/qYq8Cf1LSkkrPtFz1" class="linkified">https://goo.gl/forms/qYq8Cf1LSkkrPtFz1</a></p>
<p>Learning something new on your own is hard! So lets meet up and learn new R things together.</p> <p>On the first Tuesday of the month, RLadiesSydney will host small meetups where ladies can meet up, shut up (talking is allowed if you are seeking/getting help), and code.</p> <p>Modelled on the academic writing #ShutUpAndWrite movement (<a href="https://thesiswhisperer.com/shut-up-and-write/" class="linkified">https://thesiswhisperer.com/shut-up-and-write/</a>), the idea is make learning social. The location will move around but you can pencil first Tuesday of month into your calendar.</p> <p>There are only 10 places available at each session, so ONLY RSVP if you are SURE you will come. Please do not take a place from another RLady, and then not turn up. RSVPs will open 5 days in advance.</p>
<p>Hi everyone!</p> <p>On March 27th the Australian Data Science Education Institute are organising the first ever Data Science Education "Resource Hack Day" and we thought many of you may be interested in participating. The event is being hosted in Melbourne between 5pm and 8pm, but will also be streamed online.</p> <p>The purpose of the event is for people with an interest in Data Science Education to come together and brainstorm ways to support education from prep to year 12. You can find more details of the event here:</p> <p><a href="https://adsei.org/resources-hack-day/" class="linkified">https://adsei.org/resources-hack-day/</a></p> <p>We will be organizing a REMOTE event here in Sydney, where we will participate in the Hack Day via streaming and discuss potential future workshops for younger students down the road.</p> <p>This is perfect for anyone who has an interest in learning and teaching data science. It doesn't matter if you are a teacher, researcher, data scientist, or working in industry - all are welcome!</p> <p>Right now we are trying to get a sense of the number of people who are interested and where would be the best location to hold the event.</p> <p>So, if you are interested...</p> <p>1. fill out this google doc by Wednesday (13 March)</p> <p><a href="https://docs.google.com/spreadsheets/d/1S754Llv_JDOIVan4Y4L3Ndp7gHiZhwYJ4SD5wfPLHFg/edit?usp=sharing" class="linkified">https://docs.google.com/spreadsheets/d/1S754Llv_JDOIVan4Y4L3Ndp7gHiZhwYJ4SD5wfPLHFg/edit?usp=sharing</a></p> <p>2. RSVP to this event</p> <p>thanks!</p>
<p>Learning something new on your own is hard! So lets meet up and learn new R things together.</p> <p>On the first Tuesday of the month, RLadiesSydney will host small meetups where ladies can meet up, shut up (talking is allowed if you are seeking/getting help), and code.</p> <p>Modelled on the academic writing #ShutUpAndWrite movement (<a href="https://thesiswhisperer.com/shut-up-and-write/" class="linkified">https://thesiswhisperer.com/shut-up-and-write/</a>), the idea is make learning social. The location will move around but you can pencil first Tuesday of month into your calendar.</p> <p>There are only 10 places available at each session, so ONLY RSVP if you are SURE you will come. Please do not take a place from another RLady, and then not turn up. RSVPs will open 7 days in advance.</p> <p>Attached is campus map and the shortest routes from train station. Nearest car park is West 3. MUSE is the big red building near the centre of the campus, hard to miss.</p>
<p>Join us for an afternoon with Hadley Wickham and fellow RLadies.</p> <p>RSVP via Eventbrite</p> <p><a href="https://www.eventbrite.com.au/e/meetup-with-hadley-wickham-tickets-60497816598" class="linkified">https://www.eventbrite.com.au/e/meetup-with-hadley-wickham-tickets-60497816598</a></p> <p>We are excited to host Hadley Wickham at our meetup! Hadley is a Chief Data Scientist at RStudio, a member of the R Foundation, and Adjunct Professor of statistics at the University of Auckland, Stanford University and Rice University.</p> <p>Hadley is best known developing the tidyverse R package(s) that we all know and love. He is a staunch advocate for diversity within the R community. The event will feature an engaging conversation about how to form and maintain inclusive communities</p> <p>We are looking forward to seeing you all.</p> <p>DON'T RSVP VIA MEETUP WAITLIST, USE THE EVENTBRITE LINK ABOVE!!!</p>
<p>Learning something new on your own is hard! So lets meet up and learn new R things together.</p> <p>This month we are crashing the Sydney Coding Club meeting on Friday May 10. Join Emi, Sarah and other USyd coders to meet up, shut up (talking is allowed if you are seeking/getting help), and code.</p> <p>Modelled on the academic writing #ShutUpAndWrite movement (<a href="https://thesiswhisperer.com/shut-up-and-write/" class="linkified">https://thesiswhisperer.com/shut-up-and-write/</a>), the idea is make learning social. The location will move around but you can pencil first Tuesday of month into your calendar.</p> <p>There are only 10 places available at each session, so ONLY RSVP if you are SURE you will come. Please do not take a place from another RLady, and then not turn up. RSVPs will open 5 days in advance.</p>
<p>Learning something new on your own is hard! So lets meet up and learn new R things together.</p> <p>This month we are getting together at WeWork in the city to meet up, shut up (talking is allowed if you are seeking/getting help), and code.</p> <p>Modelled on the academic writing #ShutUpAndWrite movement (<a href="https://thesiswhisperer.com/shut-up-and-write/" class="linkified">https://thesiswhisperer.com/shut-up-and-write/</a>), the idea is make learning social.</p> <p>There are only 10 places available at each session, so ONLY RSVP if you are SURE you will come. Please do not take a place from another RLady, and then not turn up.</p>
<p>R-Ladies Sydney is turning one! It has been a year filled with great events and speakers, and we’d love to kick off Year 2 in style. Let’s get together and celebrate the milestone with the ‘fun’-nest* lightning talk event yet!</p> <p>Lighting talk presenters invited!** Just like our launch, the lightning talks will be short and informal. For our birthday event, the theme of the lightning talks will be:</p> <p>“Fun times in R”</p> <p>You could present about…</p> <p>- how R makes your work fun<br/>- how you use R to create fun things<br/>- a fun R thing you have seen on twitter<br/>- how you make learning R fun<br/>- a fun R function/package</p> <p>… you get the idea. Talks will be informal; slides are optional. We encourage participation from everyone (beginners through experts; people who speak about R all the time and those don’t love to speak in public about anything).</p> <p>Let us know that you’re interested in presenting by completing this form.</p> <p><a href="https://forms.gle/hyVCnT9m2Sa8iDcs7" class="linkified">https://forms.gle/hyVCnT9m2Sa8iDcs7</a></p> <p>Doors will open at 5:45pm for 6:30pm start.</p> <p>We look forward to seeing you on July 31st!</p> <p>* Yes, we realise ‘funnest’ is not a word. Go with it, folks!</p> <p>** In line with the R-Ladies Global mission, we invite presenters who identify as a minority gender within the R community (including but not limited to cis/trans women, trans men, non-binary, genderqueer, agender)</p>
<p>Do you find yourself copying and pasting code? Is your code really repetitive?</p> <p>Would you like to be able to read in a whole folder full of .csv files? Or compute summary stats for every variable in your dataframe?</p> <p>Then the `purrr` package is for you!</p> <p>Rebecca Barter is a grad student and Data Science Fellow at UC Berkley. She is making a visit home to Sydney and has very kindly offered to run a hands on `purrr` workshop for us. Check out her work here <a href="http://www.rebeccabarter.com/" class="linkified">http://www.rebeccabarter.com/</a></p> <p>“Of course someone has to write loops. It doesn’t have to be you.” Jenny Bryan; RStudio</p>
<p>Research using R underpins a wide array of applied decision-making. Growing recognition of irreproducibility of results produced using R raises concerns about the credibility of research and the reliability of decisions they inform.</p> <p>Although there are many aspects to reproducible research, one major problem is the basic lack of computational reproducibility of published work – or the ability to rerun an analysis and reproduce the same results. There are many strategies for improving computational reproducibility, such as clear code structure, functional programming, and version control. Besides these tactics, however, we often find that analyses that reproduce on one machine or in one environment do not run in another, or do not run in the future. This problem is related to changing computing environments and software versions, and can be addressed using containerisation.</p> <p>In this talk, Saras will introduce containerisation and its implementation using an open-access R package. This introduction should be accessible to those who have never heard of or used containerisation before, as well as those who already actively use services such as Docker for containerisation.</p> <p>Saras Windecker is an ecologist and postdoctoral fellow with the Quantitative and Applied Ecology Group at the University of Melbourne. Check out her work on github at <a href="https://github.com/smwindecker" class="linkified">https://github.com/smwindecker</a></p>
<p>Getting your data into R and in the right format is a big stumbling block for many beginner R users. You have probably entered your data in "wide" format, but to do analysis or use packages like ggplot, R wants your data in "long" format.</p> <p>You will learn how to read data into R and use the new `pivot_longer` and `pivot_wider` functions from the `tidyr` package.</p> <p>Little Miss Tidyverse will have you pivoting your data wide to long and back again in no time!</p> <p>This event is part of the ResBaz (<a href="https://research.unsw.edu.au/events/resbaz-2019" class="linkified">https://research.unsw.edu.au/events/resbaz-2019</a>) event running at UNSW on Sept 10-12th. ResBaz has asked RLadies Sydney to run an event for their attendees, but RLadies Sydney members should definitely come along!!</p>
<p>Learning something new on your own is hard! So lets meet up and learn new R things together.</p> <p>This month we are getting together at Nous Group city to meet up, shut up (talking is allowed if you are seeking/getting help), and code.</p> <p>Modelled on the academic writing #ShutUpAndWrite movement (<a href="https://thesiswhisperer.com/shut-up-and-write/" class="linkified">https://thesiswhisperer.com/shut-up-and-write/</a>), the idea is make learning social.</p> <p>There are only 10 places available at each session, so ONLY RSVP if you are SURE you will come. Please do not take a place from another RLady, and then not turn up.</p>
<p>Using data from 10 series of The Great British Bake Off, Alison Hill will show eleven ways to visualize the same data using the ggplot2 package. We'll talk a lot about geoms and variable mappings, but also about what it means to "tidy your data", plus the new pivot functions in the tidyr package.</p> <p>You won't need your laptops but you will get the most out of this talk if you know some basics about using ggplot2. To brush up (or start learning now), you may want to play with the free RStudio.cloud data visualization primer (you may use an existing Google or GitHub account to log in): <a href="https://rstudio.cloud/learn/primers/3" class="linkified">https://rstudio.cloud/learn/primers/3</a>. Or of course you can check out R-Ladies Sydney's own VizW(h)iz Module of #RYouWithMe! (<a href="https://rladiessydney.org/post/2018/12/20/vizwhiz/" class="linkified">https://rladiessydney.org/post/2018/12/20/vizwhiz/</a>)</p> <p>Alison Hill is a Data Scientist &amp; Professional Educator at RStudio. She received her PhD in psychology and quantitative methods from Vanderbilt University in 2008. Prior to joining RStudio, she was an Assistant Professor at Arizona State University, and an Associate Professor at Oregon Health &amp; Science University (OHSU). Alison is an international keynote speaker (<a href="https://alison.rbind.io/talks/" class="linkified">https://alison.rbind.io/talks/</a>), and regularly leads workshops and develops online learning materials on topics like reproducible research, machine learning, and data visualization. She is also a co-author of the book 'blogdown: Creating Websites with R Markdown' (<a href="https://bookdown.org/yihui/blogdown/" class="linkified">https://bookdown.org/yihui/blogdown/</a>). Alison lives in Portland, Oregon with her husband and young daughter.</p> <p>Please arrive at 6:00 for nibbles and mingling before a 6:30 start.</p>
<p>Have you heard of Tidy Tuesday? It is a weekly visualisation challenge set by Thomas Mock from the R4DS community. Each week there is a new dataset posted to the github page (<a href="https://github.com/rfordatascience/tidytuesday" class="linkified">https://github.com/rfordatascience/tidytuesday</a>) and people have a go creating some kind of visualisation using ggplot. Lots of people then post their plots to twitter with the hashtag #tidytuesday.</p> <p>It is so fun to see how other rstats users approach the same dataset and because you can see the code that produced each plot, it is a great way to learn new ggplot tips and tricks.</p> <p>At this event, we are going to play with some Tidy Tuesday data. Jenny Sloane, who is a PhD student from UNSW Psychology, has kindly offered to lead us through a demo, showing us how to access the most recent Tidy Tuesday data. She is going to LIVE CODE a visualisation of it to give us a taste of what Tidy Tuesday is all about.</p> <p>Then we will break into teams, pick a different dataset and work together to produce a visualisation that we can share with the group at the end of the night.</p> <p>This is a great opportunity for those who don't know ggplot to learn from those who do. Social learning at its best!</p>
<p>The end of the year is fast approaching! Lets sneak in a quick celebration before everyone heads away for the break. We will be at The Taphouse in Darlinghurst from 6:30pm next Wednesday. Come say hi!</p>
<p>We're excited to announce our kickoff event, joint with the newly resurrected GTA R User Group!</p> <p>Please join us for talks by Rich Iannone and Sharla Gelfand!</p> <p>Rich will discuss the gt package, designed for creating great-looking display tables. He'll introduce the package and jump into an interactive coding session, going through how to preprocess data and make useful presentation tables, including table parts, footnotes, cell styling, and R-Markdown best practices.</p> <p>Sharla's talk, "Opinionated Strategies for Uncharted Territories“, will focus on methods for working with a new dataset, providing tips to avoid that whole "yeah I know my data wait this is not what I expected where did I go wrong!?" thing.</p> <p>All attendees agree to abide by the R-Ladies Code of Conduct (<a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct</a>).</p> <p>Refreshments and the space are provided by The Jonah Group (map below, come up to the 3rd floor). Pizza will be provided by RStudio.</p> <p>Door will open at 6pm with introductions and presentations around 6:30pm. Everything will conclude at 8. Please join us!</p>
<p>Please join us for talks by Dr. Maria D'Angelo and Hareem Naveed!</p> <p>Maria will be sharing her experiences interacting with Google Cloud Platform using R. The talk will cover interacting with Google Big Query &amp; Google Cloud Storage using the `bigrquery` and `googleCloudStorageR` packages, highlighting issues encountered and lessons learned as newer user of these packages.</p> <p>Hareem's talk will cover how to deploy R models and Shiny apps using Docker.</p> <p>All attendees agree to abide by the R-Ladies Code of Conduct (<a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct</a>).</p> <p>The space, refreshments, and food are kindly provided by Munich Re .</p> <p>Door will open at 6pm with introductions and presentations around 6:30pm. Everything will conclude at 8. Please join us!</p>
<p>Please join us for a night of lightning talks! Lightning talks are five minutes in length and a great way to learn about a variety of #rstats topics from the fantastic R-Ladies in our community!</p> <p>Talks and speakers:<br/>* Insights from r/SkincareAddiction - Anna Gebremedhin<br/>* Machine learning approaches to predict disease - Samantha Wilson<br/>* Coral reefs, climate change and coding - Emily Darling<br/>* Interactive data visualization with loon - Alex Wiang<br/>* R, Sports and Economics - Jennifer Centeno<br/>* Forecasting with Prophet in R - Elnaz Alinpour<br/>* Crimes against data sharing in functional genomics - Emma Bell</p> <p>Door will open at 6pm with introductions and talks around 6:30pm. Everything will conclude at 8. Please join us!</p> <p>All attendees agree to abide by the R-Ladies Code of Conduct (<a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct</a>).</p> <p>The space, refreshments, and food are kindly provided by Intelliware.</p> <p>Please note that unfortunately, Intelliware is not a wheelchair accessible space and there are three flights of stairs leading up to the event space. There are two gendered washrooms and one gender neutral washroom.</p>
<p>Our July event will be held on July 18th at Sensibill. The first speaker is Heather Krause, who will talk about how to embed ethics and equity into your data products. The second speaker is Erle Holgersen, who will talk about an analysis in detecting life changes from iPhone step counts.</p> <p>Doors open at 6:30 pm and talks start at 7 pm. Please note that the venue is not wheelchair accessible, access requires walking up two flights of stairs. There will be light snacks.</p> <p>TALK DESCRIPTIONS</p> <p>Bias, sexism and racism in data science permeate our systems. They’re hidden in every step of the process; funding, data collection, analysis, and visualization are rife with inequality-causing assumptions, misunderstandings, and blind spots. Ethics and equity in data are a critical issue in the present and will continue to grow in importance in the sector. Understanding how to speak to these issues is fundamental for data professionals. Fairness in machine learning and algorithmic accountability are gaining prominence in the literature - but largely from a theoretical point of view. This talk will present a few practical tools and checklists to address the conceptual issues of ethics and equity in data science.</p>
<p>We're back from an extended summer break with a Saturday event! Please join us for a talk by Ella Kaye on working with text in R.</p> <p>Doors will open at 2:00pm and the talk will begin at 2:30pm. There will be light snacks.</p> <p>The talk will be held in room 409 in the Stewart Building (149 College). Entry will be through the door on the west side of the building. Entrances to the building and room are wheelchair accessible.</p> <p>Talk:<br/>Transcending its origins as a programming language for statistics, R provides excellent tools for working with text. This tidyverse-based talk will provide an overview of some of the fantastic packages available for this, including (but not limited to) `stringr`, `RVerbalExpressions`, `tidytext` and `wordcloud`.</p> <p>Speaker:<br/>Ella is a PhD student in Statisitcs at the University of Warwick. She followed her undergraduate degree in Mathematics and Philosophy with Masters degrees in History and Philosophy of Science and then Mathematics Education. Her interest in statistics was first piqued as a secondary school maths teacher when thinking about how to make the subject interesting for teenagers. An MSc in Applied Statistics followed (via a couple of years in working in market research), which lead to the PhD. Ella is an R enthusiast and package author, and the co-organiser of the Oxford R User Group. She also enjoys cooking, cycling and playing the clarinet.</p> <p>Please note that by attending you agree to abide by our code of conduct: <a href="https://rladies.org/code-of-conduct/" class="linkified">https://rladies.org/code-of-conduct/</a></p>
<p>Hi everyone! The first workshop of 2019 is finally here! This is an introductory workshop to R and RStudio, suitable for those who do not have any experience with R. You will learn how to find your way around RStudio, interact with R, manage your environment and install packages.</p> <p>You are required to bring your own laptop. Please ensure you have the latest version of R and RStudio installed on your machine. You can download and install the latest version of R from (<a href="https://www.r-project.org/" class="linkified">https://www.r-project.org/</a>) and RStudio from (<a href="https://www.rstudio.com/" class="linkified">https://www.rstudio.com/</a>). If you have questions please contact us before the event.</p> <p>We would like to thank Nous Group for providing the venue for this event.</p> <p>Please register via the following link:<br/><a href="https://www.eventbrite.com/e/r-and-rstudio-intro-for-the-rladies-community-in-brisbane-tickets-58628573642" class="linkified">https://www.eventbrite.com/e/r-and-rstudio-intro-for-the-rladies-community-in-brisbane-tickets-58628573642</a></p> <p>Since spaces are limited, if you are unable to attend, please advise us asap so others in the waiting list can attend!</p> <p>Look forward to our first workshop of the year!</p>
<p>Come along to our first R-Ladies Brisbane networking event! An evening of active networking with friends and other like minded women from all over Brisbane interested in R. Networking events provide an opportunity to make connections, get career advice and support, build confidence and get fresh ideas! We would like to thank Nous Group for sponsoring the event and providing the venue.</p> <p>Photos, Films and all other media/recordings: Photographs and/or video/other media will be taken at events held by this community. By taking part in an R-Ladies Brisbane event you grant the community organisers full rights to use the images resulting from the photography/video filming/media, and any reproductions or adaptations of the images for publicity, fund-raising or other purposes to help achieve the community’s aims. This might include (but is not limited to), the right to use them in their printed and online publicity, social media, press releases and funding applications. If you do not wish to be recorded in these media please inform a community organiser.</p> <p>Code of Conduct: R-Ladies Brisbane is dedicated to providing a welcoming and harassment-free event experience for everyone, regardless of gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity, or religion (or lack thereof). We do not tolerate harassment of event participants in any form, for any event venue, including talks, workshops, parties, Twitter and other online media.</p> <p>Community Policies: Please note, cis men are welcome to join our meetups when they come as a guest of a women participant. We highly encourage speakers and teachers at R-Ladies Brisbane events to be of minority genders.</p> <p>Find us on Twitter @rladiesbrisbane for more information on news, presentations and code!</p> <p>See you at our next meet-up!</p>
<p>Inviting our community to the Shiny Showcase organised by the Statistical Society of Australia QLD branch.<br/>This is a public event, no registration fees.</p> <p>For details please see:<br/><a href="https://statsoc.org.au/event-3509939" class="linkified">https://statsoc.org.au/event-3509939</a></p> <p>Please note the RLadies Brisbane chapter is not organising this event, we are only helping advertise it for people who might be interested in Shiny.</p> <p>Shiny is an R package used to build interactive web apps, come and learn more!<br/><a href="https://shiny.rstudio.com/" class="linkified">https://shiny.rstudio.com/</a></p>
<p>In this hands-on workshop you'll learn how to download a pdf from a website, convert it to text, count words and n-grams, and plot these counts.<br/>Location: UA Main Library Room A120</p>
<p>In this workshop, we will look a difference sources of public data. We will then go over some coding examples to analyze it. Participants will then work in groups, choosing a data set, and writing code in R to explore and visualize it.</p> <p>We are meeting at UA's Main Library (Main 112)</p>
<p>Our October workshop will focus on Exploratory Data Analysis (EDA) and what to do when you're handed a bunch of data (or have collected it yourself), but don't know where to start. Together we will work through the data science process of asking questions, knowing which questions to ask, and how to answer them. We will provide you with a dataset, but you can of course bring your own project if you'd like feedback and help from others.</p> <p>What to bring:</p> <p>- Your laptop and charger with RStudio installed, but the library also provides laptops you may use</p> <p>Who should come:</p> <p>- Everybody of all skill levels</p> <p>Where to Park:</p> <p>The Cherry Avenue Garage is right across from the library, and parking should be free on the weekend (unless there's a special event).</p> <p>Hope to see you there!</p>
<p>In this workshop, we will go over the life cycle of data analysis from data acquisition, to data wrangling, analysis and reporting.</p>
<p>TBA</p>
<p>Kia ora koutou!</p> <p>We are very excited to have Grace Meyer from Oxera and R-Ladies London speaking at R-Ladies Auckland.</p> <p>Arrive at 5:30pm for a 6:00pm start.</p> <p># Speaker details</p> <p>Grace Meyer is a data scientist based in London and working for the economics consultancy Oxera. She has previous experience implementing advanced analytics in the aviation and water sectors. Grace Meyer is a commercial analytics expert with proven success in advising business strategy based on data driven insights. She is a mentor in the R-Ladies London chapter.</p> <p>During this talk she will discuss her career path to date, how Oxera uses data science techniques and open source technologies and will focus on a case study using data science to help Google Android.</p>
<p>Kia ora koutou!</p> <p>We are very excited to have Elaine Miles from Aeroqual LTD speaking at R-Ladies Auckland.</p> <p>Arrive at 6pm for a 6:30pm start.</p> <p># Speaker details</p> <p>Elaine Miles is a data scientist based in Auckland. She works at Aeroqual LTD where she uses machine learning methods to analyse and improve the operation of air quality sensors and networks. She previously worked at the Australian Bureau of Meteorology on large seasonal models to predict extreme sea levels, and to test the impact of observation networks to weather prediction models. Her PhD focused on adapting laser-based methods to monitor artwork (which included watching paint dry).</p> <p>Elaine has recently learnt how to program in R and is going to share some of her insights on working with multiple processors in order to crunch large datasets and execute repetitive tasks in parallel.</p>
<p>Kia ora koutou!</p> <p>We are very privileged to have Jacquie Tran from High Performance Sport NZ presenting at our next meetup!</p> <p>Arrive at 6:00pm for a 6:30pm start.</p> <p>We'll be hosted by AUT (City campus) for this meetup, in room WZ421 of the WZ Building, 6-24 St Paul St.</p> <p># Speaker bio</p> <p>Jacquie Tran is a sport scientist from Melbourne, Australia. She currently works as a Senior Insights Researcher in the Knowledge Edge for Tokyo team at High Performance Sport New Zealand (HPSNZ), providing learning support to several NZ Olympic and Paralympic sports. In this role, Jacquie uses quantitative and qualitative research approaches to explore the factors that underpin successful preparation for and performance at pinnacle events. Previous to her time at HPSNZ, Jacquie worked as a Research Fellow in a joint appointment with the Geelong Cats Football Club (Australian football) and Deakin University. She completed her PhD with the Australian Institute of Sport, Rowing Australia, and Deakin University, investigating relationships between training loads, athlete well-being, and rowing performance.</p> <p># Talk/workshop details</p> <p>Learn about the ways data can be used solve problems, draw out insights, and inform decisions in elite sport. This meet-up will be part-presentation, part-workshop. You'll get to work with sports data in R, learning how to explore, wrangle, summarise, and plot the data.</p> <p>Bring along laptops with R and RStudio installed, and the following R packages: readr, dplyr, tidyr, and ggplot2 (or install the tidyverse package, which includes all four of these packages).</p> <p>As with all our meetups, please be aware of and read the Code of Conduct before attending.<br/><a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct</a></p>
<p>Hi all,</p> <p>This month's informal meetup will be a combination of short and fun 5 minute lightning talks and a social get together with pizza.</p> <p>Arrival and networking 6:00<br/>Lightning talks will commence 6:30</p> <p>**Speakers**</p> <p>Liza Bolton<br/>Smita Agrawal<br/>Jenny Pannell<br/>Emily Harvey<br/>Megan Guidry</p> <p>- - - - - - -</p> <p>A huge thanks to Xero for hosting and providing the catering and soft drinks.</p> <p>Also big thanks to Elina Ashimbayeva for being our MC for the evening and to Jacquie Tran for mentoring.</p> <p>As with all our meetups, please be aware of and read the Code of Conduct before attending.<br/><a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct</a></p>
<p>Arrival and networking: 6pm<br/>Talk commences: 6.30pm</p> <p>Dr Xuxu Wang is the Chief Data Officer at PredictHQ. She leads a team of data scientists and analysts that works on complex challenges such as event impact prediction models to make sense of millions of events worldwide. Xuxu brings advanced machine learning and deep learning expertise; as well as industry-leading intelligence product development insights after more than a decade of experience of leading teams at Baidu in Beijing and Workday in California. She has also held leadership roles at Pricewaterhouse Coopers’ data practice.</p> <p>At this talk, Xuxu will share about how they built Aviation Rank’s prediction models and the data science that ensures the quality of the core PredictHQ data set. She will dig into how her team uses R to do events impact analysis across three different ranking systems, from general impact rankings to sector-specific rankings such as for airlines.</p> <p>------------------------------------------<br/>A huge thanks to PredictHQ for hosting the meetup!</p> <p>As with all our meetups, please be aware of and read the Code of Conduct before attending.<br/><a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct</a></p>
<p>Hi All</p> <p>We are thrilled to have Emily Harvey back from the lightning talks to present a workshop using the sf package.</p> <p>**Overview**</p> <p>Having started using R for spatial data manipulation and analysis with the old sp package back in 2016, I was blown away by how much easier to use (and consistent with my tidyverse practice/code) the new sf package was, and have become a vocal advocate for it. In this workshop I will go through some examples of manipulating spatial data, and how to use ggplot2 to make pretty maps. This will be easier to follow if you have some familiarity with tidyverse commands (e.g. mutate, summarise, %&gt;%, etc.) but I will explain these as we go for those who don't.</p> <p>**Time**</p> <p>6:00 arrival for 6:30 start</p> <p>**Bio**</p> <p>Emily spent a bunch of years at university getting a PhD in Applied Maths. After this (and a couple of post-docs) looking at various physiological and biological systems using mathematical modelling techniques she moved to a small research and consulting firm in Takapuna called Market Economics. In the research team at Market Economics she does all sorts of things that could be loosely termed 'Data Science', 'Integrated Modelling', 'Statistics', 'System Dynamics', etc. and uses R when she can (most of her colleagues use Excel, but some are starting to use both).</p> <p>** What to bring **</p> <p>Laptops with R, RStudio installed.<br/>Packages required: sf, tidyverse, here.<br/>Arrive early if you are a beginner and would like help with your R install.</p> <p>A huge thanks to Te Pūnaha Matatini at the University of Auckland for sponsoring food and drink.</p> <p>As with all our meetups all levels of R welcome, from beginners to regular users. Our meetups are about sharing knowledge and inspiring others. <a href="https://rladies.org/about-us/" class="linkified">https://rladies.org/about-us/</a></p> <p>Please read the code of conduct before attending this meetup.</p>
<p>Kia ora koutou</p> <p>Anna Fergusson, one of our R-ladies Auckland co-organisers, will be the speaker at this meetup. This introductory-level hands-on workshop will cover some of the key things to consider when developing R packages for other people.</p> <p>Time: 6:00 arrival for a 6:30pm start and 8:00pm finish.</p> <p>What to bring: Laptops with R installed, arrive early if you are a beginner and would like help with your R install.</p> <p>Abstract: In this workshop, we'll learn all about the wonderful world of R packages and what you need to know to get started on your package development adventure. Maybe you want to share a new method you've developed? Maybe you've got an interesting set of data that you'd like to others to be able to access? Maybe you've got an idea for a new package but are not sure how to get started? Or maybe you just want a non-scary place to hang out on Halloween? Come along and learn more about R package development within a fun and supportive learning environment.</p> <p>Bio: Anna Fergusson is obsessed with teaching, in particular with developing ways to introduce people to learning statistics and data science that are inclusive, engaging, accessible, effective and fun! She currently teaches at the University of Auckland and is also completing a PhD with a focus on integrating data science within high school statistics in NZ.</p> <p>As with all our meetups all levels of R welcome, from beginners to regular users. Our meetups are about sharing knowledge and inspiring others. <a href="https://rladies.org/about-us/" class="linkified">https://rladies.org/about-us/</a></p> <p>Please read the code of conduct before attending this meetup.</p>
<p>R Ladies AKL group started in December 2017 and we are turning 2. To celebrate our birthday, there will be special cake ! Come along to celebrate with us and to hear Lina Berbesi talk about Dungeons and Dragons with R.</p> <p>Arrival and networking: 6pm<br/>Talk commences: 6.30pm</p> <p>Lina Berbesi is an engineer with a postgraduate degree in Mathematics and is pursuing Masters in Statistics at the moment. She has experience in the field of finance and wind. She is passionate about board games and machine learning.</p> <p>At this talk, Lina will showcase a project she has done using Dungeons and Dragons dataset. This piece of work includes data exploration and visualisation with R using ggplot2, tidyr, scatterplot3d and rgl.</p> <p>------------------------------------------<br/>A huge thanks to Digitas Affinity ID for hosting the meetup!</p> <p>As with all our meetups, please be aware of and read the Code of Conduct before attending.<br/><a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct</a></p>
<p>Sa zadovoljstvom vas pozivamo na prvu radionicu, u nizu predstojećih, koja je posvećena osnovama programskog jezika R.</p> <p>Radionica će se održati u Startit Centru u Novom Sadu[masked]. godine sa početkom u 16h, a održaće je Ranka Medenica Todorović i Maja Pokuševski.</p> <p>Prvi deo radionice biće posvećen instalaciji R-a, pokretanju prezentacije napravljene u R-u, upoznavanju sa R okruženjem, učitavanju podataka različitih formata i osnovnim konceptima rada u okruženju. U drugom delu radionice naučićete kako da sredite podatke i da manipulišete njima, kao i par osnovnih koraka u prikazu i analizi podataka.</p> <p>Kome je namenjeno?<br/>Radionica je praktično orijentisana i namenjena je svima koji su zainteresovani da nauče R. Potpunim početnicima u programiranju, kao i onima koji to nisu a žele da se podsete ili upoznaju osnove R jezika.</p> <p>Ko su predavači?<br/>Ranka Medenica-Todorović je diplomirani sociolog, master inženjer urbanizma i regionalnog razvoja. Radi kao asistent na Fakultetu tehničkih nauka u Novom Sadu, na Departmanu za arhitekturu i urbanizam.</p> <p>Maja Pokuševski je diplomirani psiholog i master primenjene statistike sa dugogodišnjim iskustvom u sprovođenju celokupnih kvantitativnih i kvalitativnih istraživanja.</p> <p>Prijava<br/>Radionica je besplatna, ali je prijava obavezna zbog ograničenog broja mesta. Ne zaboravite da ponesete laptop!</p>
<p>U Startit Centru u Novom Sadu[masked] sa početkom u 11h održaće se druga radionica koja je posvećena osnovama programskog jezika R.<br/>Na radionici će se ponoviti osnovni koncepti sa prethodne radionice: tipovi podataka, kreiranje data frame-a, a nakon toga će se pažnja posvetiti učitavanju podataka različitih formata, sređivanju i manipulaciji podacima, tretmanu nedostajućih podataka kao i osnovnim koracima u prikazu i analizi podataka. Zainteresovani za radionicu mogu da ponesu svoje podatke.</p> <p>U drugom delu radionice pokrenućemo Swirl: učite R u R-u. Ovaj interaktivni deo R-a namenjen je samostalnom učenju R-a. Pored osnove R-a uz ovaj paket možete naučiti osnove regresionog modeliranja, statističkog zakljičivanja i eksploratorne analize podataka.</p> <p>Kome je namenjena radionica?<br/>Svima koji su zainteresovani da nauče R. Potpunim početnicima u programiranju kao i onima koji to nisu.</p> <p>Predavači<br/>Maja Pokuševski je diplomirani psiholog i master primenjene statistike sa dugogodišnjim iskustvom u sprovođenju celokupnih kvantitativnih i kvalitativnih istraživanja.<br/>Katica Ristić je diplomirani inženjer matematike, Data Science entuzijasta, sa desetogodišnjim iskustvom kao edukator.</p> <p>Radionica je besplatna, ali je prijava obavezna zbog ograničenog broja mesta.</p> <p>Ne zaboravite da ponesete laptom na kom je instaliran R i RStudio!</p>
<p>Treća radionica posvećena vizualizacijskim tehnikama programskog jezika R biće održana u Startit Centru u Novom Sadu[masked]. sa početkom u 11h.</p> <p>U prvom delu radionice radićemo vizualizaciju podataka uz pomoć paketa „ggplot2“. Naučićemo kako se vizualizuje jedna promenljiva, bila ona neprekidna ili diskretna. Zatim, obradićemo vizualizaciju dve promenljive u kombinacijama: neprekidna – neprekidna, diskretna<br/>– neprekidna i diskretna – diskretna.</p> <p>U drugom delu radionice radićemo vizualizaciju podataka uz pomoć paketa „leaflet“. Naučićemo kako da napravimo interaktivnu mapu zahvaljujući geolokacijskim podacima.</p> <p>Zainteresovani za radionicu mogu poneti i svoje podatke!</p> <p>Radionica je namenjena onima koji su zainteresovani da nauče R kao i onima koji ga već koriste. Radionica je besplatna, ali je prijava obavezna zbog ograničenog broja mesta.</p> <p>Ne zaboravite da u okviru R instalirate pakete „ggplot2“ i „leaflet“ i da ponesete laptop :)</p> <p>Predavač:<br/>Vera Miler Jerković je doktor nauka primenjene matematika sa dugogodišnjim iskustvom u obradi podataka i edukaciji.</p>
<p>U Startit Centru u Novom Sadu[masked]. sa početkom u 11h održaće se četvrta radionica koja je posvećena vizualizaciji podataka u programskom jeziku R.</p> <p>Radionica je posvećena osnovnim načelima dobre vizualizacije grafikona i tabela, pričanju jasne priče (story telling) uz pomoć podataka, kao i pravljenju interaktivnih vizualizacija uz pomoć ShinyApp-a. Zainteresovani za radionicu mogu da ponesu svoje podatke.</p> <p>Kome je namenjena radionica?<br/>Svima koji su zainteresovani da nauče R. Potpunim početnicima u programiranju, kao i onima koji to nisu.</p> <p>Predavači<br/>Olivera Grljević, docent na Ekonomskom fakultetu u Subotici.<br/>Katica Ristić, diplomirani inženjer matematike, Data Science entuzijasta, sa desetogodišnjim iskustvom kao edukator.</p> <p>Radionica je besplatna, ali je prijava obavezna zbog ograničenog broja mesta. Na radionicu obavezno poneti laptop sa instaliranim R-om i RStudio-m.</p>
<p>Peta radionca u nizu i poslednja u ovoj godini posvećena Data Science svetu i radu u programskom jeziku R biće održana 21.12. u 16 časova.</p> <p>Radionica je posvećena otvorenoj diskusiji o svetu Data Science-a, o potencijalnim poteškoćama pronalaženja posla, kao i o poteškoćama samih Data Science projekata.</p> <p>U drugom delu radionice pozabavićemo se setovima podataka koji Vas zanimaju, učitavanjem Vaših odabranih podataka (sopstvneih ili preuzetih sa interneta). Stečeno znanje sa prethodnih radionica primenićete kako biste pripremili podatke za vizualizaciju, a zatim ih i vizualizovati.</p> <p>Onima koji dolaze po prvi put, pružićemo pomoć oko uključivanja u R Ladies zajednicu.</p> <p>Kome je namenjena radionica?<br/>Radionica je namenjena svima koji su zainteresovani da nauče R. Potpunim početnicima u programiranju kao i onima koji to nisu.</p> <p>Predavači<br/>Olivera Grljević je docent na Ekonomskom fakultetu u Subotici.<br/>Katica Ristić je diplomirani inženjer matematike, Data Science entuzijasta, sa desetogodišnjim iskustvom kao edukator.</p> <p>Prijava<br/>Radionica je besplatna, ali je prijava obavezna zbog ograničenog broja mesta.<br/>Oni koji žele da analiziraju svoj set podataka potrebno je da ponesu laptop sa instaliranim R-om i RStudio-m.<br/>Oni koji po prvi put dolaze na radionicu potrebno je da ponesu samo laptop - zajedno ćemo pripremiti okruženje.</p> <p>Zahvaljujemo Kolping centru Serbije koji će obezbediti osveženje za sve prisutne.</p>
<p>Flash Meetup Alert!</p> <p>Join us Tuesday, August 27th, at the UVA Data Science Institute, Dell 1, as we team up with the Uva UseR Group for a refresher on data wrangling with the Tidyverse and presenting your results with RMarkdown.</p> <p>Brigitte Hogan will give an overview of some of the most helpful Tidyverse packages, and how to reproduce results with RMarkdown. If time permitting Samantha Toet will talk about functional programming and making your functions purrr.</p> <p>We will be meeting in the common area of Dell 1 at the UVA Data Science Institute on Bonnycastle Drive. Parking is available in the Central Grounds Garage at 400 S Emmet Street. Follow us on Twitter @RLadiesCville for updates.</p> <p>Come with your computer, a hungry stomach, and questions!</p>
<p>Two years and over 150 members - let's celebrate! All are welcome to join us for drinks and snacks at Kardinal Hall.</p> <p>Baked goods encouraged. :)</p> <p>Image from @oleolesko</p>
<p>So you've written some awesome code - now what?</p> <p>Instead of leaving it untouched in local limbo, it's time to push it to an online repository for you to share with the world. Collaboration and version control are the backbone of data science, and regardless of your level of experience being comfortable working with the command line is a valuable tool.</p> <p>Join us on Thursday, October 24th, for a hands-on workshop using Git, GitHub, and R. Whether you're using the command line for the first time or just brushing up on your skills, all programming levels are encouraged to attend.</p> <p>We will be meeting in the small conference room, at CitySpace, on the Downtown mall. Workshop materials can be found here: <a href="http://bit.ly/cville_github" class="linkified">http://bit.ly/cville_github</a></p> <p>Follow us on Twitter @RLadiesCville for more info!</p>
<p>Our first, organizational R-Ladies meetup for all STEAM-gender-minority R / data enthusiasts and professionals in Christchurch.</p> <p>The meetup will kick off with a meet and greet so we get to hear a bit about what our members are currently doing with data / in R. If you're a complete beginner, don't be shy, tell us what you hope you'll be able to do soon with data!</p> <p>Vica will bring the outcome of the Google opinion poll, which will serve as a starting point as we discuss how the group envisages future sessions to go. Make sure your wishes are heard, so please fill in the form before the meeting if you haven't done so yet: <a href="https://t.co/eRXpYG1tzc" class="linkified">https://t.co/eRXpYG1tzc</a></p> <p>Even if you are only vaguely, tentatively interested, you are very welcome and encouraged to attend (and fill in the poll!). Bring a friend, a mentee or a mentor!</p> <p>Because this is a social and planning session, there will be no formal presentations, only introductions and open discussions.</p> <p>Thank you to UC for providing the venue.</p>
<p>WHERE: E13 in Engineering Core on UC's Ilam campus</p> <p>FIRST HOUR (6-7pm)</p> <p>Michelle &amp; Rogini introduce us to R and RStudio. No previous R knowledge is assumed, but we expect that<br/>1. you have downloaded R and RStudio on your laptop<br/>2. you attempted to install both R and RStudio (in this order), and<br/>3. you bring your laptop with you<br/>More advanced folks please come along if you can to help the beginners.</p> <p>SECOND HOUR (7-8pm)</p> <p>Vica introduces the basic ideas of reproducibility and attempts to make a case that there is no better way to enforce it than in R. Laptop is not necessary for this session.</p>
<p>&gt;&gt;&gt; Note the slight change in starting time: from September onward the Meetups start at 5:30pm and end at 7:30pm&lt;&lt;&lt;</p> <p>WHERE: E13 in Engineering Core on UC's Ilam campus</p> <p>FIRST AND SECOND HOURS (5:30-7:30pm)</p> <p>Rogini and Michelle will take us from the basics of reading in data in R, all the way to transforming and cleaning it, in preparing it for analysis and visualization.</p> <p>You can make the most of this session if you come along with a laptop that has both R and RStudio installed and running. Short of that, you are always welcome to come and pair up with someone!</p>
<p>WHERE: E13 in Engineering Core on UC's Ilam campus</p> <p>This hands-on, group work session allows you to practice the techniques you learnt on Sept 3, in Rogini &amp; Michelle's 'Reading and wrangling data in the Tidyverse' session.</p>
<p>WHERE: E13 in Engineering Core on UC's Ilam campus</p>
<p>Join us for our next session of the RLadiesChch meetup group.</p> <p>This month we will chat with UC's Data Science lecturer Giulio Dalla Riva about data ethics, its challenges and some good practice solutions. No matter your subfield or interests, this session will apply to your work!</p> <p>As usual, we are starting at 5:30, but please note the new venue: we are in Rehua 429 on UC's Ilam campus.</p>
<p>Join us for our next session of the RLadiesChch meetup group.</p> <p>This week we will continue our chat on data ethics based on the pointers shared by UC's Data Science lecturer Giulio Dalla Riva. No matter your subfield or interests, this session will apply to your work, so come for a discussion, for best practice, packages and more!</p> <p>As usual, we are starting at 5:30, but please note that we are back in our usual venue: E13 on UC's Ilam campus.</p>
<p>Durante cuatro encuentros repasaremos R desde Cero, con el siguiente programa temático:</p> <p>1.Introducción a R y RStudio<br/>¿Qué tiene de diferente RStudio con Excel?<br/>¿Cómo orientarse en RStudio?<br/>¿Cómo interactuar con R?<br/>¿Cómo administrar tu entorno?<br/>¿Cómo instalar paquetes?</p> <p>2.Gestión de proyectos con RStudio<br/>¿Cómo pudo gestionar mis proyectos en R?</p> <p>3. Buscando ayuda<br/>¿Cómo puedo obtener ayuda en R?</p> <p>4. Estructura de datos<br/>¿Cómo puedo leer datos en R?<br/>¿Cómo son los datos ordenados?<br/>¿Cómo son los datos limpios?</p> <p>5. Creando gráficos<br/>¿Cómo puedo crear gráficos con calidad para publicación en R?<br/>¿Cómo puedo guardar gráficos y datos creados en R?</p> <p>6. Manipulación de datos<br/>¿Cómo puedo hacer diferentes cálculos sobre diferentes conjuntos de datos?<br/>¿Cómo puedo trabajar con subconjuntos de datos en R?</p> <p>7. Produciendo informes<br/>¿Cómo puedo generar reportes?<br/>¿Cómo puedo integrar programas e informes?</p> <p>A quien le interese por favor, haga RSVP y complete este formulario: <a href="https://docs.google.com/forms/d/e/1FAIpQLScvcZn5D8gU-8anhtGOAIJKdT2GsrNoj7Zv6FjReQZ-dHwiXA/viewform?usp=sf_link" class="linkified">https://docs.google.com/forms/d/e/1FAIpQLScvcZn5D8gU-8anhtGOAIJKdT2GsrNoj7Zv6FjReQZ-dHwiXA/viewform?usp=sf_link</a></p> <p>Les estaremos avisando por los lugares.</p>
<p>Durante cuatro encuentros repasaremos R desde Cero, con el siguiente programa temático:</p> <p>1.Introducción a R y RStudio<br/>¿Qué tiene de diferente RStudio con Excel?<br/>¿Cómo orientarse en RStudio?<br/>¿Cómo interactuar con R?<br/>¿Cómo administrar tu entorno?<br/>¿Cómo instalar paquetes?</p> <p>2.Gestión de proyectos con RStudio<br/>¿Cómo pudo gestionar mis proyectos en R?</p> <p>3. Buscando ayuda<br/>¿Cómo puedo obtener ayuda en R?</p> <p>4. Estructura de datos<br/>¿Cómo puedo leer datos en R?<br/>¿Cómo son los datos ordenados?<br/>¿Cómo son los datos limpios?</p> <p>5. Creando gráficos<br/>¿Cómo puedo crear gráficos con calidad para publicación en R?<br/>¿Cómo puedo guardar gráficos y datos creados en R?</p> <p>6. Manipulación de datos<br/>¿Cómo puedo hacer diferentes cálculos sobre diferentes conjuntos de datos?<br/>¿Cómo puedo trabajar con subconjuntos de datos en R?</p> <p>7. Produciendo informes<br/>¿Cómo puedo generar reportes?<br/>¿Cómo puedo integrar programas e informes?</p> <p>A quien le interese por favor, haga RSVP y complete este formulario: <a href="https://docs.google.com/forms/d/e/1FAIpQLScvcZn5D8gU-8anhtGOAIJKdT2GsrNoj7Zv6FjReQZ-dHwiXA/viewform?usp=sf_link" class="linkified">https://docs.google.com/forms/d/e/1FAIpQLScvcZn5D8gU-8anhtGOAIJKdT2GsrNoj7Zv6FjReQZ-dHwiXA/viewform?usp=sf_link</a></p> <p>Les estaremos avisando por los lugares.</p>
<p>Durante cuatro encuentros repasaremos R desde Cero, con el siguiente programa temático:</p> <p>1.Introducción a R y RStudio<br/>¿Qué tiene de diferente RStudio con Excel?<br/>¿Cómo orientarse en RStudio?<br/>¿Cómo interactuar con R?<br/>¿Cómo administrar tu entorno?<br/>¿Cómo instalar paquetes?</p> <p>2.Gestión de proyectos con RStudio<br/>¿Cómo pudo gestionar mis proyectos en R?</p> <p>3. Buscando ayuda<br/>¿Cómo puedo obtener ayuda en R?</p> <p>4. Estructura de datos<br/>¿Cómo puedo leer datos en R?<br/>¿Cómo son los datos ordenados?<br/>¿Cómo son los datos limpios?</p> <p>5. Creando gráficos<br/>¿Cómo puedo crear gráficos con calidad para publicación en R?<br/>¿Cómo puedo guardar gráficos y datos creados en R?</p> <p>6. Manipulación de datos<br/>¿Cómo puedo hacer diferentes cálculos sobre diferentes conjuntos de datos?<br/>¿Cómo puedo trabajar con subconjuntos de datos en R?</p> <p>7. Produciendo informes<br/>¿Cómo puedo generar reportes?<br/>¿Cómo puedo integrar programas e informes?</p> <p>A quien le interese por favor, haga RSVP y complete este formulario: <a href="https://docs.google.com/forms/d/e/1FAIpQLScvcZn5D8gU-8anhtGOAIJKdT2GsrNoj7Zv6FjReQZ-dHwiXA/viewform?usp=sf_link" class="linkified">https://docs.google.com/forms/d/e/1FAIpQLScvcZn5D8gU-8anhtGOAIJKdT2GsrNoj7Zv6FjReQZ-dHwiXA/viewform?usp=sf_link</a></p> <p>Les estaremos avisando por los lugares.</p>
<p>Durante cuatro encuentros repasaremos R desde Cero, con el siguiente programa temático:</p> <p>1.Introducción a R y RStudio<br/>¿Qué tiene de diferente RStudio con Excel?<br/>¿Cómo orientarse en RStudio?<br/>¿Cómo interactuar con R?<br/>¿Cómo administrar tu entorno?<br/>¿Cómo instalar paquetes?</p> <p>2.Gestión de proyectos con RStudio<br/>¿Cómo pudo gestionar mis proyectos en R?</p> <p>3. Buscando ayuda<br/>¿Cómo puedo obtener ayuda en R?</p> <p>4. Estructura de datos<br/>¿Cómo puedo leer datos en R?<br/>¿Cómo son los datos ordenados?<br/>¿Cómo son los datos limpios?</p> <p>5. Creando gráficos<br/>¿Cómo puedo crear gráficos con calidad para publicación en R?<br/>¿Cómo puedo guardar gráficos y datos creados en R?</p> <p>6. Manipulación de datos<br/>¿Cómo puedo hacer diferentes cálculos sobre diferentes conjuntos de datos?<br/>¿Cómo puedo trabajar con subconjuntos de datos en R?</p> <p>7. Produciendo informes<br/>¿Cómo puedo generar reportes?<br/>¿Cómo puedo integrar programas e informes?</p> <p>A quien le interese por favor, haga RSVP y complete este formulario: <a href="https://docs.google.com/forms/d/e/1FAIpQLScvcZn5D8gU-8anhtGOAIJKdT2GsrNoj7Zv6FjReQZ-dHwiXA/viewform?usp=sf_link" class="linkified">https://docs.google.com/forms/d/e/1FAIpQLScvcZn5D8gU-8anhtGOAIJKdT2GsrNoj7Zv6FjReQZ-dHwiXA/viewform?usp=sf_link</a></p> <p>Les estaremos avisando por los lugares.</p>
<p>Inspiradas por R-Ladies Santiago, proponemos un evento para ayudarte a presentar una postulación para las becas de la RStudio::Conf 2020.</p> <p>Ya está abierta la convocatoria a las becas de diversidad de la rstudio::conf, la conferencia anual que organiza RStudio y que este año se realizará en San Francisco a fines de enero de 2020. Si queres saber de que se trata revisá la convocatoria: <a href="https://blog.rstudio.com/2019/08/30/diversity-scholarships/" class="linkified">https://blog.rstudio.com/2019/08/30/diversity-scholarships/</a></p> <p>Este evento es similar al "R SetUp Day", donde te acercás a un lugar en una franja horaria determinada. En esta oportunidad, este viernes, desde las 10:00 am a las 13:00 pm estaremos en la Sala de Reuniones del edificio de RIAN en la EEA Anguil para encontrarnos. Acercate con tus ideas para postular y las revisaremos juntas para potenciarlas al completar el formulario. También hablaremos sobre formas en que puedes compartir el código que has escrito (Github).</p> <p>Como nuestro objetivo con esta actividad es promover la diversidad de género de la conferencia, sus destinatarias son personas que se identifican como mujeres o con un género disidente.</p> <p>Si es primera vez que asistes a uno de nuestros eventos, es necesario que leas nuestro código de conducta, ya que aceptar esos términos es requisito para participar: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish</a></p> <p>¡Te esperamos!</p>
<p>Nuevamente despedimos el año en PampaSeg, este 2019 será con un taller sobre RMarkdown y como realizar reportes automáticos con R.</p> <p>Necesitamos que traigas tu compu con R y Rstudio instalado, en este link encontrás instrucciones en español para realizar la instalación en diferentes sistemas operativos:</p> <p><a href="https://github.com/pachamaltese/tutoriales/blob/master/2019-04-24-instalar-r.md" class="linkified">https://github.com/pachamaltese/tutoriales/blob/master/2019-04-24-instalar-r.md</a></p> <p>También instalate el paquete tidyverse.</p> <p>Con eso estás mas que preparada para poder usar Rmarkdown.</p> <p>REcordá anotarte en el grupo y también en PampaSeg:</p> <p><a href="https://pampaseg2019.eventbrite.com.ar/" class="linkified">https://pampaseg2019.eventbrite.com.ar/</a></p> <p>Te esperamos!!!</p>
<p>​E no dia 12/12/2019, às 19h, o R-Ladies GYN juntamente com a comunidade Data Train oferecera nosso 1° meetup e a Data Train o seu 4° meetup. Neste dia iremos falar sobre como analisar dados longitudinais e como utilizar machine learning na indústria alimentícia utilizando o software R.</p> <p>O encontro será realizado na Supera Tecnologia às 19hs do dia 12/12 e as inscrições devem ser feitas através do link: <a href="https://www.meetup.com/pt-BR/datatrain/events/266957130/" class="linkified">https://www.meetup.com/pt-BR/datatrain/events/266957130/</a>.</p> <p>Endereço: R. C-246, Qd 547 - Lt 02, 43 - Jardim America, Goiânia - GO</p> <p>Para mais informações acesse <a href="https://www.meetup.com/pt-BR/datatrain/events/266957130/" class="linkified">https://www.meetup.com/pt-BR/datatrain/events/266957130/</a>.</p> <p>Nos encontramos lá :)))</p> <p>Site - www.rladiesgyn.com<br/>Instagram - @rladiesgyn<br/>Linkedin - R-Ladies GYN</p>
<p>Olá, Ladies!</p> <p>Já está na hora de mais um encontro!</p> <p>Gostaríamos de ver como vocês, ladies, têm usado o R em seus trabalhos e pesquisas, inscreva-se para apresentação! Basta entrar em contato com a gente aqui pelo Meetup, através de nosso e-mail [masked] ou de nosso Twitter @RLadiesPOA.</p> <p>Todas são muito bem vindas. Não esqueça de convidar outras ladies a participar! (:</p> <p>19:00 Um breve resumo do R-ladies</p> <p>19:20 Git: uma constante no seu dia com Catarina Nogueira<br/>Vamos falar sobre a importância de versionamento de código (não no drive e não no hd do computador), que muitas vezes passa batido, especialmente por quem vem da estatistica para a area de ciencia de dados.</p> <p>20:00 Talk 2</p> <p>20:40 Coffee</p> <p>21:00 Fishbowl - Vamos debater assuntos e trocar idéias.</p> <p>Lembramos que R-Ladies tem como objetivo proporcionar uma experiência livre de assédio para todos. Não toleramos nenhuma forma de assédio aos participantes. Para ter acesso ao código de conduta, acesse: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#portuguese" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#portuguese</a></p>
<p>Olá, Ladies!</p> <p>Gostaríamos de ver como vocês têm usado o R em seus trabalhos e pesquisas, inscreva-se para apresentação! Basta entrar em contato com a gente aqui pelo Meetup, através de nosso e-mail [masked] ou de nosso Twitter @RLadiesPOA.</p> <p>Todos são muito bem vindos.<br/>Não esqueça de convidar outras ladies a participar! (:</p> <p>19:00 Welcome coffee</p> <p>19:15 Abertura e breve intro sobre R-ladies</p> <p>19:30 O uso de R na ciência de dados<br/>Beatrice Fernandes (<a href="https://www.linkedin.com/in/beatricefernandes/" class="linkified">https://www.linkedin.com/in/beatricefernandes/</a>)</p> <p>20:30 People Analytics<br/>Andreia Barone(<a href="https://www.linkedin.com/in/andreia-barone/" class="linkified">https://www.linkedin.com/in/andreia-barone/</a>)</p> <p>21:00 Coffee e Networking</p> <p>21:15 Fishbowl</p> <p>***********************<br/>Sugira um tema :D<br/>***********************</p> <p>Lembramos que R-Ladies tem como objetivo proporcionar uma experiência livre de assédio para todos. Não toleramos nenhuma forma de assédio aos participantes. Para ter acesso ao código de conduta, acesse: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#portuguese" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#portuguese</a></p>
<p>¡Contentas de anunciar nuestro primer meetup el 29 de mayo a las 19 horas en @ScanntechUy! Taller introductorio a #shiny: aplicaciones web interactivas en R por Virginia Burguete.<br/>RSVP: rladies.uy/meetup #rladies #rladieslatam</p>
<p>¡Contentas de anunciar un nuevo meetup el 26 de noviembre a las 19 horas en<br/>@tryolabs! R &amp; educación en Uruguay @ivymarsi, @CeciGarcia1990, Guillermina Costabel y @pacocuak.<br/>• Ivana Marsicano &amp; Cecilia García: La Ruta R del Programa de Evaluación y Estadística de la UTEC<br/>• Guillermina Costabel: Análisis de supervivencia de las tablets del Plan Ceibal 2014 - 2015<br/>• Natalia da Silva: Evaluación y monitoreo de plataformas educativas con Shiny app<br/>RSVP: <a href="http://rladies.uy/meetup" class="linkified">http://rladies.uy/meetup</a> #rladies #rladieslatam</p>
<p>¡Tendremos varias charlas relámpago (lighting talks) para presentar más personas de la comunidad R!</p> <p>Después despedimos el año todo juntos, ¡te esperamos!</p> <p>Agradecemos a la diaria Media Labs que nos recibe por primera vez.</p>
<p>Olá, R Ladies Niterói!</p> <p>Em parceria com a Biblioteca Parque de Niterói, iremos realizar uma palestra com o tema "Análise das Bilheterias Mundiais do Cinema usando o R".<br/>Nesta palestra, vamos apresentar a linguagem R e o pacote Tidyverse que irá nos ajudar nesta análise.</p> <p>- O que iremos analisar?</p> <p>Selecionamos o Brasil, Argentina, Estados Unidos, China, Austrália, Alemanha e África do Sul, e os filmes que ficaram em primeiro lugar em cada semana. Todos os resultados são referentes aos anos de 2018 e 2019.</p> <p>Vamos responder algumas perguntas como:</p> <p>- Qual mês ocorreu a maior bilheteria ?<br/>- Qual gênero se destacou naquele ano ?<br/>- Comparar dados dos filmes que fizeram maior sucesso?<br/>- Entre outras</p> <p>Evento gratuito e aberto ao público!</p> <p>* Palestrantes *</p> <p>Julia Hellen Ferreira - Estatística / UFF<br/>Luíza de Oliveira Machado Pinto - Estatística / UFF<br/>Juliany Freitas Moura - Estatística / UFF</p> <p>* Coordenadora *</p> <p>Luciane Alcoforado - Doutora em Engenharia Civil</p>
<p>Olá, R -Ladies!</p> <p>Em parceria com a Biblioteca Parque de Niterói, o R Ladies Niterói irá ofertar um mini curso de "Introdução à linguagem R". Os módulos são:</p> <p>- Operações matemáticas básicas;<br/>- Criação de vetor numérico;<br/>- Criação de vetor de caractere;<br/>- Operações com vetores;<br/>- Criação e Operações com Matrizes;<br/>- Criação e Operações com data frames;<br/>- Leitura de CSV;<br/>- Medidas Estatísticas.</p> <p>** Evento gratuito e com emissão de certificado! **</p> <p>OBS: Serão disponibilizados apenas 5 computadores. Recomendamos que leve seu notebook!</p> <p>Não percam esta oportunidade!<br/>Até lá!</p>
<p>PROGRAMAÇÃO</p> <p>16h - Abertura</p> <p>16h05h - O desenvolvimento do R Ladies Niterói em 2019</p> <p>16h20 - Palestra: "Da dengue à gripe: lutando contra doenças usando R"<br/>Professora: Claudia Codeço - Fundação Oswaldo Cruz</p> <p>17h - Mesa redonda com a participação da Clemencia Herrera do R Ladies Rio</p> <p>17h30 - Networking</p> <p>** Com emissão de certificados**</p>
<p>Come enjoy a Sunday R Ladies Social at the San Francisco Botanical Garden. Bring a lunch for picnicking and maybe a snack to share. We will meet at the main gate at 11 am and then wander through the gardens. There will be pianos in some of the most beautiful locations and live performances as part of the Flower Piano Festival (<a href="https://www.sfbg.org/flowerpiano" class="linkified">https://www.sfbg.org/flowerpiano</a>). Family and friends are welcome!</p> <p>Admission:<br/>Free for SF residents (with proof of residency) and children under 4<br/>$9 for adults<br/>$2 for children over 4</p> <p>Link to map:<br/><a href="https://docs.wixstatic.com/ugd/3b12b2_8813d6f649dc49c28c2de045c9aabdda.pdf" class="linkified">https://docs.wixstatic.com/ugd/3b12b2_8813d6f649dc49c28c2de045c9aabdda.pdf</a></p> <p>========================================================</p> <p>Important to know</p> <p>CODE OF CONDUCT<br/>Anyone who violates or has previously violated this community's Code of Conduct will be refused entry, expelled, and/or any other action deemed appropriate by the Organizer, regardless of event registration, meetup membership or other condition.<br/><a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct</a></p> <p>The mission of R-Ladies is to achieve proportionate representation by encouraging, inspiring, and empowering people of genders currently underrepresented in the R community.</p> <p>We are emphatically queer and trans-friendly.</p>
<p>Join the R-Ladies in our last event of the year. We are closing the year with another round of Lightning Talks. In this fun, informal setting, participants have approximately 5 to 20 minutes to speak about R, Data Science or any other topic!</p> <p>AGENDA:<br/>6pm - 6:30pm: Networking + Refreshments<br/>6:30pm - 6:45pm: Welcome presentation (Lyft VP of Science + R-Ladies Founder)<br/>6:45pm - 8pm: Lightning Talks<br/>8pm - 8:30pm: Networking + Refreshments</p> <p>Please also RSVP here so that we can email you to complete the online NDA before the evening : <a href="https://lyftrladieslightning.splashthat.com/" class="linkified">https://lyftrladieslightning.splashthat.com/</a></p> <p>CODE OF CONDUCT<br/><a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct</a></p> <p>• Refreshments and food will be provided.</p> <p>A huge thank you to Lyft (<a href="https://www.lyft.com/" class="linkified">https://www.lyft.com/</a>) for hosting us!</p>
<p>Please RSVP via Eventbrite:<br/><a href="https://www.eventbrite.com.au/e/r-ladies-at-data-science-week-reproducible-research-with-r-tickets-60445895300" class="linkified">https://www.eventbrite.com.au/e/r-ladies-at-data-science-week-reproducible-research-with-r-tickets-60445895300</a></p> <p>This workshop will give a small introduction to reproducible research. Attendees will learn how to use R markdown as a way of keeping track of their data cleaning and analysis. You will need access to a laptop, whether it is your own or you are sharing with a colleague. You will also need to download R and RStudio before the workshop (instructions will be sent to your email).</p> <p>Skill level: beginner to intermediate.</p> <p>Space is limited for this event so get in quick!</p> <p>The workshop will be followed by a sundowner celebrating women, R-Ladies in particular, in data science and STEMM. More info on the sundowner (and to register separately) can be found here:</p>
<p>Please RSVP via Eventbrite:<br/><a href="https://www.eventbrite.com.au/e/r-ladies-at-data-science-week-panel-and-sundowner-tickets-60446475034" class="linkified">https://www.eventbrite.com.au/e/r-ladies-at-data-science-week-panel-and-sundowner-tickets-60446475034</a></p> <p>For Data Science Week R-Ladies Perth will hold a panel discussion and sundowner.</p> <p>This event will have a mix of personal stories and advice on working in data science and STEMM, followed by time for questions and networking. Snacks and refreshments will be provided throughout.</p> <p>We have invited panellists from research and industry and will announce the final line up closer to the event.</p>
<p>Register: <a href="https://www.eventbrite.com.au/e/seminar-by-professor-inge-koch-tickets-70722281247?aff=Meetup" class="linkified">https://www.eventbrite.com.au/e/seminar-by-professor-inge-koch-tickets-70722281247?aff=Meetup</a></p> <p>Seminar and networking event to be held at The Circle, inside the Reid Library, UWA.</p> <p>Bio: Through her roles at UWA and other Australian universities, Inge has been active in encouraging young women to study and take up careers requiring mathematics. From mid-2015 to early 2019, Inge has been the Executive Director of the AMSI and its BHP-funded CHOOSEMATHS program, which aims to increase participation of girls and young women in mathematics and STEM.</p> <p>Light catering provided.</p> <p>Join us from 5:30pm, with Inge's talk starting at 6pm.</p>
<p>The idea of the book club is to read through an R programming book in stages and work through questions/exercises over a several consecutive meetings. During the meeting attendees have the opportunity to ask questions and discuss the content of the book with the session host and each other. If the book includes exercises the meeting offers the opportunity to compare each others answers and work on more difficult problems together.</p> <p>The first book we will work through is the R for Data Science book (available online: <a href="https://r4ds.had.co.nz/" class="linkified">https://r4ds.had.co.nz/</a> ), each fortnight we will discuss one of the sections: Explore, Wrangle, Program, Model, Communicate</p> <p>This week we are discussing Part 1: Explore<br/>This includes dataviz with ggplot2, data transformation with dplyr, workflows and exploratory data analysis.<br/>Share your workflow tips and tricks, your favourite ggplot visualisation, or your go to dplyr functionality.</p> <p>Location - we are meeting at the Curtin University Law School, 57 Murray Street. Someone will be waiting by the entrance to let you in and point you to the right room. If possible please arrive by 5.45pm.</p> <p>If the book club format is successful, future books could include:<br/>1. Advanced R - <a href="https://adv-r.hadley.nz/" class="linkified">https://adv-r.hadley.nz/</a><br/>2. R packages - <a href="http://r-pkgs.had.co.nz/" class="linkified">http://r-pkgs.had.co.nz/</a><br/>3. Deep Learning with R (Not available for free, however, the associated github repo has all exercises)</p>
<p>The idea of the book club is to read through an R programming book in stages and work through questions/exercises over a several consecutive meetings. During the meeting attendees have the opportunity to ask questions and discuss the content of the book with the session host and each other. If the book includes exercises the meeting offers the opportunity to compare each others answers and work on more difficult problems together.</p> <p>The first book we will work through is the R for Data Science book (available online: <a href="https://r4ds.had.co.nz/" class="linkified">https://r4ds.had.co.nz/</a> ), each fortnight we will discuss one of the sections: Explore, Wrangle, Program, Model, Communicate.</p> <p>In this meetup we are looking at Section II - Wrangle.<br/>We will focus on data import and getting your data into a 'tidy' format, from there it is then much easier to transform your data. For this Section II of the book takes a closer look at dealing with strings (e.g. words or parts thereof), factors (e.g. categorical data) and dates and times (just as much of a challenge for seasoned users as it is for learners).<br/>In case we won't be able to finish this section we shall continue working through it during the next meetup.</p> <p>Location - we are meeting at the Curtin University Law School, 57 Murray Street. Someone will be waiting by the entrance to let you in and point you to the right room. If possible please arrive by 5.45pm.</p> <p>If this book club format is successful, future books could include:<br/>1. Advanced R - <a href="https://adv-r.hadley.nz/" class="linkified">https://adv-r.hadley.nz/</a><br/>2. R packages - <a href="http://r-pkgs.had.co.nz/" class="linkified">http://r-pkgs.had.co.nz/</a><br/>3. Deep Learning with R (Not available for free, however, the associated github repo has all exercises)</p>
<p>The idea of the book club is to read through an R programming book in stages and work through questions/exercises over a several consecutive meetings. During the meeting attendees have the opportunity to ask questions and discuss the content of the book with the session host and each other. If the book includes exercises the meeting offers the opportunity to compare each others answers and work on more difficult problems together.</p> <p>The first book we will work through is the R for Data Science book (available online: <a href="https://r4ds.had.co.nz/" class="linkified">https://r4ds.had.co.nz/</a> ), each fortnight we will discuss one of the sections: Explore, Wrangle, Program, Model, Communicate</p> <p>In this meetup we are looking at Section III - Program.<br/>We will look at using the pipe, writing functions, and iterating over a data structure to automate our workflow. This sections also covers vectors in more detail; vectors are the fundamental building block of more complex data structures.</p> <p>Location - we are meeting at the Curtin University Law School, 57 Murray Street. Someone will be waiting by the entrance to let you in and point you to the right room. If possible please arrive by 5.45pm.</p> <p>If this format is successful, future books could include:<br/>1. Advanced R - <a href="https://adv-r.hadley.nz/" class="linkified">https://adv-r.hadley.nz/</a><br/>2. R packages - <a href="http://r-pkgs.had.co.nz/" class="linkified">http://r-pkgs.had.co.nz/</a><br/>3. Deep Learning with R (Not available for free, however, the associated github repo has all exercises)</p>
<p>The idea of the book club is to read through an R programming book in stages and work through questions/exercises over a several consecutive meetings. During the meeting attendees have the opportunity to ask questions and discuss the content of the book with the session host and each other. If the book includes exercises the meeting offers the opportunity to compare each others answers and work on more difficult problems together.</p> <p>The first book we will work through is the R for Data Science book (available online: <a href="https://r4ds.had.co.nz/" class="linkified">https://r4ds.had.co.nz/</a> ), each fortnight we will discuss one of the sections: Explore, Wrangle, Program, Model, Communicate</p> <p>In this meetup we are looking at two sections, Section III - Program and Section IV - Model.</p> <p>We will look at using the pipe, writing functions, and iterating over a data structure to automate our workflow. This sections also covers vectors in more detail; vectors are the fundamental building block of more complex data structures.</p> <p>"All models are wrong, but some are useful." - George Box<br/>This section looks fitting models to better understand your data and builds on top of the exploratory data analysis tools looked at in the previous sections.</p> <p>Location - we are meeting at the Curtin University Law School, 57 Murray Street. Someone will be waiting by the entrance to let you in and point you to the right room. If possible please arrive by 5.45pm.</p> <p>If this format is successful, future books could include:<br/>1. Advanced R - <a href="https://adv-r.hadley.nz/" class="linkified">https://adv-r.hadley.nz/</a><br/>2. R packages - <a href="http://r-pkgs.had.co.nz/" class="linkified">http://r-pkgs.had.co.nz/</a><br/>3. Deep Learning with R (Not available for free, however, the associated github repo has all exercises)</p>
<p>***SAVE THE DATE***</p> <p>Come help us celebrate one year of R-Ladies Perth workshops and networking events!!</p> <p>We will discuss what has and hasn't worked, enable networking over some food and drinks (since a lot of you attended different R-Ladies events), and plan for the first half of 2020. There will also be a brief seminar on how to search, clone and work-through available workshop materials on the R-Ladies Global and associated chapter GitHub's (NOTE: this can be a useful resource between events or for learning more about specific packages/topics).</p> <p>We can't wait to meet you all again!!</p> <p>Remember to spread the word -- invite your colleagues and work/study friends.</p> <p>All skill levels are encouraged to attend our events!!!!</p> <p>P.S. everyone is welcome at all R-Ladies events but in general we encourage men to bring at least one potential member that meets the R-Ladies Global mission of supporting minority gender R enthusiasts (<a href="https://rladies.org/about-us/" class="linkified">https://rladies.org/about-us/</a>).</p> <p>We would also like to thank our sponsors for this event: Murdoch University, the Curtin Institute for Computation, and Flux powered by Spacecubed.</p>
<p>We are very excited to invite you to a ggplot2 workshop conducted by Dr Mine Cetinkaya-Rundel, who is a world renowned statistician. We will have 40 slots, and we need you to bring your laptop with you. If you don't have one, please let us know in advance so we can get one for you. Please RSVP.</p>
<p>We want to invite you to our next R-Ladies Edinburgh event! Dr Candice Coker Morey will speak about how to use R for Open Science. Dr Coker Morey is a Senior Lecturer at Cardiff University, editor of the Journal of Cognition, and a self professed Open Science enthusiast!</p>
<p>Our next speaker is Dr Anastasia Ushakova. She has a PhD in Computational Social Science from UCL and is passionate about both development and application of statistical methods as well as promoting those to a new generation of applied researchers.</p> <p>During the workshop, we will look at an overview of a set of models that can be used in R for prediction or classification tasks. These will include linear and logistic models, tree methods, neural networks and other common machine learning/data science tools.</p> <p>The packages ‘caret’ and ‘parsnip’ will be introduced to fit the models, compare the performance and provide quick visualisations for the overall assessment. This workshop will be useful for both an industry and an academic audience that are interested with predictive analytics and wish to get hands on practice in model fitting in R.</p>
<p>We are super pleased to invite you to our workshop "Introduction to Bayesian Statistical Modelling using brms". In this two-day workshop, we will learn some basics about Bayesian statistics, with a focus on using a Bayesian approach to statistical modelling. We will use brms package by Paul Bürkner, which uses Stan.</p> <p>On the first day, we will have an intro to Bayesian statistics and statistical modelling. We will be introduced to brms using simple variants of the general linear model, and multi-level models, with a normal response distribution.</p> <p>On the second day, we will take a look at the binomial and Poisson distribution for count data, and learn when we should used them and how to do so using brms.</p> <p>The workshop will have small lectures and some practical exercises so the participants can fit their own models with brms.</p> <p>This workshop will be facilitated by Marie Beisemann. She's about to start her Phd in Statistics at the Technical University of Dortmund, Germany, right after finishing he Master's degree in psychology at the University of Münster. She's (really) passionate about sharing her knowledge about brms and Bayes with us, and we're super excited to have her here!</p> <p>P. S., if you will attend this workshop, we really need you to install brms beforehand.</p>
<p>At this workshop you will learn 2 things:</p> <p>• What is Markdown and how to get directly from R into Word documents, PDF reports, websites, or presentations<br/>• How to work with R Notebooks (twin sister of R Markdown) – an interactive alternative to R scripts</p> <p>Suitable for R newbies: working examples will be provided, no on-the-spot R code writing needed.</p> <p>Experienced users will also benefit as we'll point out the most up to date functionality within R Markdown and RStudio.</p> <p>This workshop's speaker, Riinu, is a data scientist with an interdisciplinary background. She works at the Centre for Medical Informatics.<br/>www.riinu.me</p>
<p>Machine Learning: you've heard the buzz, but come and find out what it really is and how to use it in R. We'll be giving an introduction to the basics of machine learning and a short workshop on supervised learning in the popular package Caret.</p> <p>Attend here: <a href="http://foocafe.org/stockholm/events/2154-an-introduction-to-machine-learning-in-r" class="linkified">http://foocafe.org/stockholm/events/2154-an-introduction-to-machine-learning-in-r</a></p> <p>Agenda:<br/>[masked]: What is Machine Learning? by Maya<br/>[masked]: Mingle and food<br/>[masked]: Getting started with the caret package by Ashley</p> <p>About our presenters:<br/>Maya Alsheh Ali - Postdoc at Karolinska Institutet. Specialized in image analysis from mamography screening.</p> <p>Ashley Thompson - PhD student at Karolinska Institutet. Works on applications for machine learning in psyciatric disorders.</p>
<p>This meetup will give a walk through of supervised classification with machine-learning classifiers applied to real data. In the second half of the meetup you will have the opportunity to try out the procedure on a simulated data set and evaluate the performance of the classifiers.</p> <p>[masked] - Supervised classification with ML classifiers</p> <p>[masked] - Food and mingle</p> <p>[masked] -Hands-on, so bring your laptop!</p> <p>[masked] - Wrap-up</p> <p>Speaker: Annika Tillander is a senior lecturer in statistics at the Department of Computer and Information Science, Linköping University. She is working on supervised classification for sparse and weak high-dimensional data.</p> <p>Sign-up here: <a href="http://foocafe.org/stockholm/events/2169-supervised-classification-in-machine-learning" class="linkified">http://foocafe.org/stockholm/events/2169-supervised-classification-in-machine-learning</a></p> <p>Material for the hand-on are here:<br/><a href="https://github.com/rladies/meetup-presentations_stockholm" class="linkified">https://github.com/rladies/meetup-presentations_stockholm</a><br/>(files: "R_ladies_[masked].R" and " sim_dat.Rdata")</p> <p>Slides will be available after the presentation.</p> <p>Everyone is welcome!</p>
<p>R-ladies Stockholm will present at the Ada conference at Foo café! Join to see us and other women working in tech and data science!</p> <p><a href="https://www.meetup.com/foocafe/events/261282629/?joinRsvpYes=true" class="linkified">https://www.meetup.com/foocafe/events/261282629/?joinRsvpYes=true</a></p>
<p>Are you curious about how to think and do when creating an R package? At this meetup we will discuss problems and possibilities in package building and provide a framework of how you can transform your R code into a user-friendly R package.</p> <p>[masked]: Doors open, mingle time<br/>[masked]: How to go from functions to an R package</p> <p>Venue: Antler Office at Venue: Wework Regeringsgatan 29, Room 5c.</p> <p>About: Antler is a global startup generator and early-stage VC. In their program, they help determined people become great founders of successful tech startups, with the vision of building the next wave of tech. Antler is the sponsor of this event and will provide us with snacks and drinks during the mingle.</p> <p>Presenters:<br/>Nissa Ferm, data scientist and author of the packages "FastrCAT", "rrza" and "fishgutr".</p> <p><a href="https://www.nissaferm.com/" class="linkified">https://www.nissaferm.com/</a></p> <p>Elisabeth Dahlqwist, statistician at Statistics Sweden with a background in biostatistics and author of the packages "AF" and "AFheritability".</p> <p><a href="https://staff.ki.se/people/elisda?_ga=2.159565181.1967102025.1568902248-1602500728.1560417051" class="linkified">https://staff.ki.se/people/elisda?_ga=2.159565181.1967102025.1568902248-1602500728.1560417051</a></p> <p>All are welcome but please follow our code of conduct <a href="https://rladies.org/code-of-conduct/" class="linkified">https://rladies.org/code-of-conduct/</a> !</p> <p>Poster credit to Tyra Lagerberg.</p>
<p>Long November evenings are perfect for socialising and learning new things. Join us for a cozy afterwork to get to know each other, discuss project ideas, share career experience and talk all things R.</p> <p>See you soon!</p> <p>Note: This event is for women and gender minorities.<br/>Where: Whippet Lab &amp; Social Justice Club<br/>When: November 26, 18:00</p>
<p>Drage R žene,</p> <p>Nakon male zimske pauze i hibernacije, vraćamo se u akciju.</p> <p>Ove nedelje će nam Radmila pričati o višestrukoj regresionoj analizi, a Katarina pokazati kako da vizualizujete GPS podatke i koristite API sa Google Maps platforme. Dodatno, imamo nekoliko vesti za naredni period!</p> <p>Kao i uvek, 18h u Startitu, vidimo se u sredu :)</p> <p>Pozdrav,</p> <p>R Ladies Belgrade</p>
<p>Drage R-ovke,</p> <p>U sklopu Nedelje Otvorenih Podataka organizujemo meetup na kom cemo razgovarati o beneficijama pristupa otvorenim podacima. Kroz radionicu illustrovacemo kako da se pristupi podacima sa portala <a href="https://data.gov.rs" class="linkified">https://data.gov.rs</a> i razvije interaktivna aplikacija u R-u koriscenjem Shiny paketa. Tu necemo stati! 😄 Pokazacemo kako da podatke smestite u bazu i kako da ih analizirate korišćenjem SQL-a kroz programski jezik R, a sve sa ciljem da se prikaže više načina pristupa i organizovanja podataka u svrhu njihove efektivne analize i vizualizacije.</p> <p>Voleli bismo da dodjete i da nam se pridružite u diskusijama i razmeni iskustava u radu na Otvorenim Podacima. Ponestite laptop da zajedno pisemo kod u R-u! 👩‍💻💪</p> <p>Ne morate biti korisnik R-a, niti njegov stručnjak da bi ste se pridružiti našim diskusijama. Potrebno je samo da imate interesovanje za učenje, rad i upoznavanjem sa R-om.</p> <p>Nadamo se da ćete nam se pridružiti.</p> <p>Molimo Vas da vase prisustvo potvrdite prijavom na formular:<br/><a href="https://startit.rs/kreiranje-web-aplikacije-u-r-u-za-obradu-otvorenih-podataka-radionica-u-beogradskom-startit-centru/" class="linkified">https://startit.rs/kreiranje-web-aplikacije-u-r-u-za-obradu-otvorenih-podataka-radionica-u-beogradskom-startit-centru/</a></p> <p>Zahvaljujemo se STARTIT Centru (<a href="https://startit.rs/beograd/" class="linkified">https://startit.rs/beograd/</a>) za pružanje mogućnosti održavanja ovog događaja.</p>
<p>Na nasem sledece druzenju podrzacemo i ucestvovati u panel discusiji prve konferencije ‘Women in Data Science” u Srbiji.</p> <p><a href="https://widssubotica.netlify.com" class="linkified">https://widssubotica.netlify.com</a></p> <p>Ako niste u stanju da prisustvujete prvoj "Women in Data Science Conference" u Srbiji koja ce se odrzati 25. Aprila u Subotici ucestvujte vasim dolaskom na nas meetup.</p> <p>R-Ladies BG ce se pridruziti konferenciji video linkom i ucestvovati u panel diskusiji:<br/>Eliminating gender barriers: how can we encourage diversity and inclusion in the data science community?</p> <p>Moderator iz Beogradskog Startit-a ce biti Nadica Miljkovic.</p> <p>Pridruzite nam se i podrzite nase inicijative pripremom pitanja i ucestvovanjem u diskusiji.</p> <p>Zahvaljujemo se STARTIT Centru (<a href="https://startit.rs/beograd/" class="linkified">https://startit.rs/beograd/</a>) za pružanje mogućnosti održavanja ovog događaja.</p>
<p>Hello R-Ladies Belgrade community!</p> <p>Join us for an evening with Erin LeDell a member of R-Ladies Global Leadership team and Chief Machine Learning Scientist at H2O.ai. Erin will be a keynote speaker at this year’s Data Science Conference and will deliver an H20 R machine learning tutorial to R-Ladies Belgrade.</p> <p>We are very excited to host Erin at our meetup! As many of you will know H2O.ai, is the company that produces the open source, distributed machine learning platform, H2O. Before joining H2O.ai, Erin was the Principal Data Scientist at two AI startups, the founder of DataScientific, Inc. and a software engineer at a large consulting firm.</p> <p>Erin is well known within R community for democratising Machine Learning with H2O and developing a number of R packages. She is a great advocate of diversity within the DS, ML and R communities.</p> <p>Agenda:<br/>• 5:30pm -- Doors open and refreshments<br/>• 6:00pm -- Welcome to all R-Ladies Belgrade: Introduction, Announcements<br/>• 6:05pm -- H2O R machine learning tutorial by Erin LeDell<br/>• 7:00pm -- Hang around: drinks, pizza and a chance to chat<br/>• 7:45pm -- End</p> <p>We would love you to come and join us, bring a friend or two and share your thoughts and experiences when working on your every-day DS projects.</p> <p>You don’t have to be an R user to come and join our discussion, as long as you have interest in learning, doing and getting to know more about data science and R.</p> <p>All welcome!</p> <p>We are looking forward to seeing you all…</p> <p>Thanks to Startit (<a href="https://startit.rs/" class="linkified">https://startit.rs/</a>) and Data Science Serbia (<a href="http://www.datascience.rs/" class="linkified">http://www.datascience.rs/</a>) for providing the venue and making this event possible.</p>
<p>Drage nase R-ladies,</p> <p>Ako ste raspoložene, dodjite da pijemo kafu zajedno, u subotu 28. decembra, u Kafeteriji Magazin u ulici Kralja Petra 16.</p> <p>Tom prilikom ćemo da obeležimo kraj godine i u neformalnoj atmosferi razmenimo ideje oko budućih aktivnosti.</p> <p>Radujemo se da vas vidimo. :)</p> <p>Katarina, Tatjana i Tijana</p>
<p>R-Ladies Kyiv is pleased to announce that we’ll be hosting our official launch event!</p> <p>Come enjoy an evening of R-related discussion, and a chance to network with other R-users from across the city on Tuesday, July 2nd, 2019 at Parus Business Center, 1991 Civic Center.</p> <p>Feel free to share the event invite with all those who may be interested!</p> <p>Event is free to attend, registration is required prior to the event:<br/><a href="https://forms.gle/TFmwsK2h5oV2cdMh8" class="linkified">https://forms.gle/TFmwsK2h5oV2cdMh8</a></p> <p>1991 Civic Tech Center is located in the heart of Ukrainian capital to inspire civic tech startups and community with location, space, connections, acceleration programs, events and each other.</p> <p>Follow us on Facebook:<br/><a href="https://www.facebook.com/RLadiesKyiv/" class="linkified">https://www.facebook.com/RLadiesKyiv/</a></p> <p>Agenda:<br/>19:00 - Welcome from R-Ladies Global Team<br/>19:30 - Introduction in R Markdown by Yevheniia Drozdova, data analyst and journalist at Texty.org.ua<br/>20:00 - Obtaining meteorological data and using them to "enhance" environmental monitoring data.<br/>21:00 - Networking</p>
<p>If you're curious about introduction to Data Science, join us for an exclusive FB Live AMA session with Mehrdad Honarkhah, a Data Scientist at Facebook.</p> <p>To join the event you should be a member of Developer Circle Kyiv group: <a href="https://www.facebook.com/groups/332298634106277/" class="linkified">https://www.facebook.com/groups/332298634106277/</a></p> <p>Please post your questions here in the comments prior to the event.</p> <p>=====</p> <p>Mehrdad Honarkhah is a Data Scientist at Facebook’s Spatial Computing Research and Connectivity teams. His main focus is on statistical and predictive models to help improve connectivity around the world. Before joining Facebook, he worked on providing predictive risk models for catastrophic events and introduced innovative capital market transaction vehicles. After receiving two engineering degrees, he got his PhD from Stanford University on Spatial Statistics.</p>
<p>Workshop: Practical R</p> <p>Тема: Як поєднати (майже) непоєднувані дані в R<br/>Speaker: Олена Нікуліна, аналітикиня Громадського руху "ЧЕСНО"</p> <p>В реальному світі рідко трапляються вже готові набори даних, що містять всю потрібну аналітикам інформацію. Частіше дані потрібно збирати з різних джерел та поєднувати. Це, здавалось би, тривіальне завдання нерідко перетворюється у справжній виклик через різні формати даних, помилки у заповненні тощо. Тож на наступному воркшопі ми обговоримо методи ефективного поєднання даних.</p> <p>Don't forget and bring your laptops!</p>
<p>R-Ladies Kyiv pleased to announce a partnership with Facebook Developer Circle Kyiv and invite our members to take part in community challenge!</p> <p>There are over $165,000 USD in prizes for regional and global winners, with the global first place winner walking away with up to $25,000 USD in prizes.</p> <p>Developer Circles will launch a free Data Science and Machine Learning program in a couple of months and prepare a lot of interesting workshops too!</p> <p>Developer Circles is kicking off the third annual Developer Circles Community Challenge. Our goal is to bring together developers from across the globe to build software using React360, Spark AR, or HTML5 Games to give people the power to connect with friends and family, build communities, and grow businesses. Developers are invited to submit software across one of three categories: Productivity and Utility, Gaming and Entertainment, and Social Good.</p> <p>Located in over 130 cities around the world with a community of over 200,000 developers, Developer Circles from Facebook is a great way for people to join a network of developers to collaborate, learn, and code together. For the 2019 Developer Circles Community Challenge, local Developer Circles will host in-person Build Days, where developers can meet each other, learn about Facebook Developer Products, and build solutions together. Visit the Challenge website to join a Build Day in your city and check back as new dates and cities will be added.</p> <p>How to Enter:<br/>Free to attend, great prizes and free training in specific technologies.<br/>Join local Developer Circle to collaborate with other developers.</p> <p><a href="https://www.facebook.com/groups/332298634106277/" class="linkified">https://www.facebook.com/groups/332298634106277/</a></p> <p>We can't wait to see what our global developer community builds! #DevCChallenge #DevCKyiv #BuildDayKyiv</p>
<p>R-Ladies Kyiv is pleased to announce that we’ll be hosting our first Tech Lunch event together with Facebook Developer Circle Kyiv!</p> <p>Come enjoy an evening of R-related discussion, and a chance to network with other R-users from across the city on Saturday, September 7, 2019 in Kyiv.<br/>Our main focus will be to create study group and learn Data Science together!</p> <p>Stay updated and join our telegram channel:<br/><a href="https://t.me/DeveloperCircle" class="linkified">https://t.me/DeveloperCircle</a></p> <p>Lunch is sponsored by Facebook Circle Kyiv.<br/><a href="https://www.facebook.com/groups/332298634106277/" class="linkified">https://www.facebook.com/groups/332298634106277/</a></p> <p>Registration is open : <a href="https://forms.gle/j16m5ACd1tENviyFA" class="linkified">https://forms.gle/j16m5ACd1tENviyFA</a></p> <p>We will notify selected participants prior to the event.</p>
<p>Facebook Developer Circle Kyiv, технічна спільнота для розробників від компанії Facebook, розпочинає програму підготовки за напрямом Data Science в партнерстві з Udacity.</p> <p>Як будуть проходити заняття ?<br/>В форматі навчальних груп та онлайн курсів, без вчителя.</p> <p>Хто може приєднатись?<br/>Будь хто, в кого є бажання вивчати Data Science<br/>Який рівень необхідний?<br/>Базові знання програмування</p> <p>Що дасть мені цей курс?<br/>Можливість продовження вивчення Data Science та отримання Data Science Nanodegree сертифікації - яка на даний момент вважається однією з найкращих в галузі</p> <p>Який саме курс?<br/>"Introduction to Data Science" розрахований на два місяці</p> <p>Скільки коштує? Безкоштовно!</p> <p>Як зареєструватись?</p> <p>Треба бути учасником групи Facebook Developer Circle Kyiv <a href="https://www.facebook.com/groups/devckyiv/" class="linkified">https://www.facebook.com/groups/devckyiv/</a> та зареєструватись за посиланням — <a href="https://www.facebook.com/groups/devCKyiv/learning_content/" class="linkified">https://www.facebook.com/groups/devCKyiv/learning_content/</a></p> <p>Куратори груп - Ліліана Філіпчук та Ярослава Сердюк</p> <p>Початок 16 вересня о 19-00 в офісі компанії Innovecs</p> <p>Перевірте обовязково що ви є учасником групи та маєте доступ до матеріалів!</p>
<p>Facebook Developer Circle Kyiv, технічна спільнота для розробників від компанії Facebook, розпочинає програму підготовки за напрямом Data Science в партнерстві з Udacity.</p> <p>Як будуть проходити заняття ?<br/>В форматі навчальних груп та онлайн курсів, без вчителя.</p> <p>Хто може приєднатись?<br/>Будь хто, в кого є бажання вивчати Data Science<br/>Який рівень необхідний?<br/>Базові знання програмування</p> <p>Що дасть мені цей курс?<br/>Можливість продовження вивчення Data Science та отримання Data Science Nanodegree сертифікації - яка на даний момент вважається однією з найкращих в галузі</p> <p>Який саме курс?<br/>"Introduction to Data Science" розрахований на два місяці</p> <p>Скільки коштує? Безкоштовно!</p> <p>Як зареєструватись?</p> <p>Треба бути учасником групи Facebook Developer Circle Kyiv <a href="http://bit.ly/2lMS4a7" class="linkified">http://bit.ly/2lMS4a7</a> та зареєструватись за посиланням — <a href="http://bit.ly/2kjVSPG" class="linkified">http://bit.ly/2kjVSPG</a></p> <p>Куратори груп - Ліліана Філіпчук та Ярослава Сердюк</p> <p>Початок 18 вересня о 19-00 в офісі компанії Innovecs</p> <p>Перевірте обовязково що ви є учасником групи та маєте доступ до матеріалів!</p>
<p>Facebook Developer Circle Kyiv, технічна спільнота для розробників від компанії Facebook, розпочинає програму підготовки за напрямом Data Science в партнерстві з Udacity.</p> <p>Як будуть проходити заняття ?<br/>В форматі навчальних груп та онлайн курсів, без вчителя.</p> <p>Хто може приєднатись?<br/>Будь хто, в кого є бажання вивчати Data Science<br/>Який рівень необхідний?<br/>Базові знання програмування</p> <p>Що дасть мені цей курс?<br/>Можливість продовження вивчення Data Science та отримання Data Science Nanodegree сертифікації - яка на даний момент вважається однією з найкращих в галузі</p> <p>Який саме курс?<br/>"Introduction to Data Science" розрахований на два місяці</p> <p>Скільки коштує? Безкоштовно!</p> <p>Як зареєструватись?</p> <p>Треба бути учасником групи Facebook Developer Circle Kyiv <a href="http://bit.ly/2lMS4a7" class="linkified">http://bit.ly/2lMS4a7</a> та зареєструватись за посиланням — <a href="http://bit.ly/2kjVSPG" class="linkified">http://bit.ly/2kjVSPG</a></p> <p>Куратори груп - Ліліана Філіпчук та Ярослава Сердюк</p> <p>Початок 18 вересня о 19-00 в офісі компанії Innovecs</p> <p>Перевірте обовязково що ви є учасником групи та маєте доступ до матеріалів!</p>
<p>Facebook Developer Circle Kyiv, технічна спільнота для розробників від компанії Facebook, розпочинає програму підготовки за напрямом Data Science в партнерстві з Udacity.</p> <p>Як будуть проходити заняття ?<br/>В форматі навчальних груп та онлайн курсів, без вчителя.</p> <p>Хто може приєднатись?<br/>Будь хто, в кого є бажання вивчати Data Science<br/>Який рівень необхідний?<br/>Базові знання програмування</p> <p>Що дасть мені цей курс?<br/>Можливість продовження вивчення Data Science та отримання Data Science Nanodegree сертифікації - яка на даний момент вважається однією з найкращих в галузі</p> <p>Який саме курс?<br/>"Introduction to Data Science" розрахований на два місяці</p> <p>Скільки коштує? Безкоштовно!</p> <p>Як зареєструватись?</p> <p>Треба бути учасником групи Facebook Developer Circle Kyiv <a href="http://bit.ly/2lMS4a7" class="linkified">http://bit.ly/2lMS4a7</a> та зареєструватись за посиланням — <a href="http://bit.ly/2kjVSPG" class="linkified">http://bit.ly/2kjVSPG</a></p> <p>Куратори груп - Ліліана Філіпчук та Ярослава Сердюк</p> <p>Початок 18 вересня о 19-00 в офісі компанії Innovecs</p> <p>Перевірте обовязково що ви є учасником групи та маєте доступ до матеріалів!</p>
<p>Facebook Developer Circle Kyiv, технічна спільнота для розробників від компанії Facebook, розпочинає програму підготовки за напрямом Data Science в партнерстві з Udacity.</p> <p>Як будуть проходити заняття ?<br/>В форматі навчальних груп та онлайн курсів, без вчителя.</p> <p>Хто може приєднатись?<br/>Будь хто, в кого є бажання вивчати Data Science<br/>Який рівень необхідний?<br/>Базові знання програмування</p> <p>Що дасть мені цей курс?<br/>Можливість продовження вивчення Data Science та отримання Data Science Nanodegree сертифікації - яка на даний момент вважається однією з найкращих в галузі</p> <p>Який саме курс?<br/>"Introduction to Data Science" розрахований на два місяці</p> <p>Скільки коштує? Безкоштовно!</p> <p>Як зареєструватись?</p> <p>Треба бути учасником групи Facebook Developer Circle Kyiv <a href="http://bit.ly/2lMS4a7" class="linkified">http://bit.ly/2lMS4a7</a> та зареєструватись за посиланням — <a href="http://bit.ly/2kjVSPG" class="linkified">http://bit.ly/2kjVSPG</a></p> <p>Куратори груп - Ліліана Філіпчук та Ярослава Сердюк</p> <p>Початок 18 вересня о 19-00 в офісі компанії Innovecs</p> <p>Перевірте обовязково що ви є учасником групи та маєте доступ до матеріалів!</p>
<p>Facebook Developer Circle Kyiv, технічна спільнота для розробників від компанії Facebook, розпочинає програму підготовки за напрямом Data Science в партнерстві з Udacity.</p> <p>Як будуть проходити заняття ?<br/>В форматі навчальних груп та онлайн курсів, без вчителя.</p> <p>Хто може приєднатись?<br/>Будь хто, в кого є бажання вивчати Data Science<br/>Який рівень необхідний?<br/>Базові знання програмування</p> <p>Що дасть мені цей курс?<br/>Можливість продовження вивчення Data Science та отримання Data Science Nanodegree сертифікації - яка на даний момент вважається однією з найкращих в галузі</p> <p>Який саме курс?<br/>"Introduction to Data Science" розрахований на два місяці</p> <p>Скільки коштує? Безкоштовно!</p> <p>Як зареєструватись?</p> <p>Треба бути учасником групи Facebook Developer Circle Kyiv <a href="http://bit.ly/2lMS4a7" class="linkified">http://bit.ly/2lMS4a7</a> та зареєструватись за посиланням — <a href="http://bit.ly/2kjVSPG" class="linkified">http://bit.ly/2kjVSPG</a></p> <p>Куратори груп - Ліліана Філіпчук та Ярослава Сердюк</p> <p>Початок 18 вересня о 19-00 в офісі компанії Innovecs</p> <p>Перевірте обовязково що ви є учасником групи та маєте доступ до матеріалів!</p>
<p>!!! Event is free to attend, registration is required prior to the event.<br/>Before submitting you're going, make sure you have filled this form: <a href="https://forms.gle/tKM8gFPy5wmidfXy7" class="linkified">https://forms.gle/tKM8gFPy5wmidfXy7</a></p> <p>Wow, it's third meetup of R-Ladies Kyiv!</p> <p>Wonderful Galina Dychko (<a href="https://www.linkedin.com/in/galina-dychko/" class="linkified">https://www.linkedin.com/in/galina-dychko/</a>) will share her knowledge of basic concepts and methods of cluster analysis in R.</p> <p>The lecture is aimed to provide a beginner-friendly overview of the basic cluster analysis techniques. The focus is on the key mathematical concepts of the main clustering algorithms and how multidimensional visualization helps us to identify groups of similar objects.<br/>We will briefly cover how to use PCA, CCA and multidimensional scaling for data visualization, how to choose clustering distance measure and run k-means, hierarchical and spectral clustering algorithms with R. Half of lecture will focus on the theoretical concepts and a half on the practical examples.</p> <p>Good to have:<br/>- basic understanding of data analysis concepts<br/>- basic understanding of PCA and CCA algorithms<br/>- no previous strong knowledge of R programming</p> <p>Come join us, and have a chance to network with other R-users from across the city on Saturday, October 26th, 2019 at Mechnikova 2; Business Center Parus; 1991 Civic Tech Center; 18th floor.</p>
<p>!!! Захід є безкоштовним за умови попередньої реєстрації: <a href="https://forms.gle/uzbJqMkt6e2okFvu8" class="linkified">https://forms.gle/uzbJqMkt6e2okFvu8</a></p> <p>На цьому воркшопі Дарія Михайлишина, економістка з ЦЕС, розповість про те, що таке регресійний аналіз, коли він застосовується, які проблеми можуть виникнути при його застосуванні, а також як застосовувати здобуті навики в R.<br/>Зокрема, серед іншого дізнаєтеся про таке:<br/>- [ ] Відмінність кореляції та причинно-наслідкового зв‘язку: чи дійсно від морозива стаються утоплення?<br/>- [ ] Різні типи даних: чому одне слово в коді може повністю змінити результати дослідження?<br/>- [ ] Мультиколінеарність: чи завжди більше означає краще?<br/>- [ ] Ендогенність та інструментальні змінні: чому, щоб дізнатись про вплив сучаних інституцій потрібно дивитись на смертність сотні років тому назад?<br/>- [ ] А також багато іншого</p> <p>Вимоги:<br/>- бажано базове знання статистики (що таке похибка, нормальний розподіл, чим відрізняється середнє від медіани і т.д.)<br/>- бажано базові навички роботи в R<br/>- мати з собою ноутбук з встановленими R та R studio, а також високим рівнем зарядки</p>
<p>Якщо цікавитесь PyTorch, React, Chat bots, Spark AR запрошуємо на Build Day, від Facebook Developer Circle: Kyiv !</p> <p>Формат - міні хакатон, але без пресингу конкуренції, з призами, піцою і афтепаті🍕🍻🥂</p> <p>Участь у Build Day - ваша можливість отримати запрошення на F8 конференцію у Каліфорнії🚀</p> <p>Реєстрація і список менторів -<br/><a href="https://ctobuildday.splashthat.com/" class="linkified">https://ctobuildday.splashthat.com/</a></p> <p>Build Day event, the final phase of the Facebook Developer Circles, Tech Leadership Training Kyiv Course: an online program promoted by Facebook Developer Circle: Kyiv in partnership with Lift99 Kyiv Hub and designed to help developers in their journey to become Chief Technical Officers by combining strong interpersonal, influential and technical skills. After online course and training part, we decided to organize practical day - to build your startup!</p> <p>The BuildDay is open only for DevC Kyiv members - please check that you're a member of the group : <a href="https://www.facebook.com/groups/devCKyiv/" class="linkified">https://www.facebook.com/groups/devCKyiv/</a></p>
<p>Happy new year, everyone! 🎉</p> <p>Aaaand we're back with the first R-Ladies Meetup of the year! We have another great lineup of talks and workshops scheduled for you, so we hope to see you at this event!</p> <p>Our first speaker is Julie Gerlings - a consultant from KPMG with focus in Infrastructure, Government and Health and new technology solutions such as Natural Language Processing (NLP), Internet of Things (IOT) and the likes. She is also an external lecturer at CBS in the course 'Artificial Intelligence in the Marketplace'.</p> <p>Our second speaker is Margrit Kasper, also a consultant from KPMG, specializing in management and data visualization of enterprise resource planning (ERP) systems, robotic process automation, among others.</p> <p>Program:<br/>1730 - 1745 Welcome and setup of laptop<br/>1745 - 1815 Lightning talk by Julie Gerlings: Natural Language Processing (NLP) in asset management<br/>1815 - 1830 Break<br/>1830 - 1900 Presentation by Margrit Kasper on the network3D package</p> <p>Venue: Dampfærgevej 28, KPMG, room G01-G02</p> <p>What to bring: laptop with RStudio installed. We will give you more details soon on which packages you will need in case you would like to code during the session.<br/>Sandwiches, coffee and cola will be available at the event.</p> <p>If you are interested in volunteering and/or presenting at future R-Ladies events, please do answer this survey: <a href="https://goo.gl/forms/9MajIknM0M1W2Ghs2" class="linkified">https://goo.gl/forms/9MajIknM0M1W2Ghs2</a> We would really appreciate it and thank you in advance!</p> <p>We are looking forward to seeing you all again!</p> <p>Regards,<br/>RLadies CPH<br/>Kristina, Lei, Julie, Diana</p>
<p>Ultima întâlnire de anul acesta este dedicată discuțiilor de retrospectivă de an și planurilor 2020!<br/>În plus, Alexandra Ioana Conda vine să ne facă o introducere în ML folosind pachetul Caret.<br/>Nu vine oricum, aduce un set de date de pe Kaggle despre vinuri - Wine Reviews de la WineEnthusiast 😉</p> <p>Mai avem vești! ...dar le lăsăm pe marți când ne vedem!<br/>---------------------------------------------------------------------------------------------<br/>Un super mulțumesc echipei V7 Startup Studio care ne va găzdui !<br/>---------------------------------------------------------------------------------------------<br/>CODE OF CONDUCT<br/>Te rog, citește codul nostru de conduită. Respectăm și ne dorim să construim un mediu deschis și inclusiv. De aceea, te rog citește codul nostru de conduită înainte de prima întâlnire: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct</a><br/>---------------------------------------------------------------------------------------------<br/>Acesta este locul cu entuziaști de R unde trebuie să fii! Număr de locuri limitat.</p>
<p>RStudio conference took place last week in Austin TX.<br/>But don't worry if you missed it!<br/>Genelle Denzin, one of our members, is attending the conference and will be sharing the highlights with us -- you're the best Genelle!<br/>Amanda Gadrow, software engineer at RStudio, who gave a presentation on "Debugging techniques in RStudio" at rstudio:conf will also be joining us.<br/>Come meet us to find out about the newest trends &amp; packages in the R world and hear the highlights from this year's conference!</p> <p>Parking: Park in any spot marked "Reserved for the Columbus Collaboratory". There should be more than enough available- all are free. If you find that these spots are filled - park anywhere in surrounding lots and Katie will give you a day pass for your dashboard.</p> <p>Call Katie if any issues finding it [masked]).<br/>Directions and map also available here:<br/><a href="http://columbuscollaboratory.com/Contact" class="linkified">http://columbuscollaboratory.com/Contact</a></p>
<p>Since no one came forward to host this meetup (yes ladies, this time I am totally fine being the bad cop, and will pick someone... 😈) I will present some ggplot2 material I had from before.</p> <p>For those who are less familiar with ggplot2:<br/>It is a wonderful and very popular data visualization package in R. It provides all sorts of functions to customize any bits and pieces you can imagine in a plot.</p> <p>Beginners are welcome, although some familiarity with R is needed. And if you are used to plotting with base R plot, I'd say it's time to spice things up with ggplot2!</p> <p>In our last ggplot2 meetup we mainly talked about point (scatter) plots. I will pick up from there, show a more customized example and move on to plotting:<br/>- histograms<br/>- barplots<br/>- boxplots<br/>- doxplots<br/>- errorbars</p> <p>I know it's a little ambitious, so please let's all try to get there in time. (I'll try to do my best too 😅)</p> <p>Materials will be available on R-Ladies github under meetup presentations repo of our chapter (<a href="https://github.com/rladies/meetup-presentations_columbus" class="linkified">https://github.com/rladies/meetup-presentations_columbus</a>) on the day of the meetup.</p> <p>Please bring your laptop and have R and RStudio (and the tidyverse package) installed and working. But if things don't work and you're having issues, don't worry! We're here to help (◕‿◕✿)</p> <p>And we'll have pizza! 🍕</p> <p>Parking: Park in any spot marked "Reserved for the Columbus Collaboratory". There should be more than enough available- all are free. If you find that these spots are filled - park anywhere in surrounding lots and Katie will give you a day pass for your dashboard.</p> <p>Call Katie if any issues finding it [masked]).<br/>Directions and map also available here:<br/><a href="http://columbuscollaboratory.com/Contact" class="linkified">http://columbuscollaboratory.com/Contact</a></p>
<p>Blythe Moreland will go through some of the faster methods for hierarchical and partitioning clustering and then spend some time on network visualization, such as igraph or visNetwork.</p> <p>Blythe is a post-doctoral scientist working in the translational bioinformatics group at the Institute for Genomic Medicine at Nationwide Children's Hospital. She works with biologists, informatics analysts, and computer scientists, in part to study how genetic variants can indirectly affect protein formation or protein binding, and be linked to human diseases.</p> <p>Materials will be available on R-Ladies github under meetup presentations repo of our chapter (<a href="https://github.com/rladies/meetup-presentations_columbus" class="linkified">https://github.com/rladies/meetup-presentations_columbus</a>) on the day of the meetup.</p> <p>Can access the RStudio Cloud portion here: <a href="https://rstudio.cloud/project/312108" class="linkified">https://rstudio.cloud/project/312108</a></p> <p>Please bring your laptop and have R and RStudio (and the tidyverse package) installed and working. But if things don't work and you're having issues, don't worry! We're here to help (◕‿◕✿)</p> <p>And we'll have pizza! 🍕</p> <p>Parking: Park in any spot marked "Reserved for the Columbus Collaboratory". There should be more than enough available- all are free. If you find that these spots are filled - park anywhere in surrounding lots and Katie will give you a day pass for your dashboard.</p> <p>Call Katie if any issues finding it [masked]).<br/>Directions and map also available here:<br/><a href="http://columbuscollaboratory.com/Contact" class="linkified">http://columbuscollaboratory.com/Contact</a></p>
<p>Please join us for a casual mixer between RLadies-Columbus attendees and members from the RStudio team! Enjoy casual networking and discussion of all things RStudio with the dev team that brings us many of the great packages and products we know and love.</p> <p>Please register for the event waitlist here: <a href="https://forms.gle/ehaw2urb1cvzSdmw9" class="linkified">https://forms.gle/ehaw2urb1cvzSdmw9</a></p> <p>Capacity is limited at this event. Given this, we are prioritizing non-male identifying R-Ladies members for initial spots prior to opening it up to all attendees. We appreciate the support and understanding of all of our wonderful regular male RLadies attendees and we will strive to include as many registrants as possible.</p> <p>Apps will be provided and drinks available for purchase. Location information will be provided via calendar invite &amp; email once your spot has been confirmed. Note this will NOT be at our regular location.</p> <p>Be on the look out for a more traditional RLadies Columbus meet up in the month of June!</p>
<p>We will go over the RMarkdown introduction on the RStudio website.<br/>Simply go to <a href="https://rmarkdown.rstudio.com/lesson-1.html" class="linkified">https://rmarkdown.rstudio.com/lesson-1.html</a> to see the material. If you don't know what RMarkdown is, just watch the introductory video in the link!</p> <p>Please bring your laptop and sign up to RStudio Cloud at <a href="https://rstudio.cloud/" class="linkified">https://rstudio.cloud/</a> if you haven't done so already. Simply sign in to RStudio Cloud on the day of the meetup, then links containing example code throughout the introduction will open easily on your browser! Since we will be working with the cloud, everything should go smoothly but we're here to help! (◕‿◕✿)</p> <p>And we'll have pizza! 🍕</p> <p>Parking: Park in any spot marked "Reserved for the Columbus Collaboratory". There should be more than enough available- all are free. If you find that these spots are filled - park anywhere in surrounding lots and Katie will give you a day pass for your dashboard.</p> <p>Call Katie if any issues finding it [masked]).<br/>Directions and map also available here:<br/><a href="http://columbuscollaboratory.com/Contact" class="linkified">http://columbuscollaboratory.com/Contact</a></p>
<p>Couldn't make it to Toulouse, France for useR2019!? No worries, we've got you covered! After a brief hiatus R-Ladies Columbus is back. Katie &amp; Ezgi will be recapping learnings from the conference on all the latest and greatest in tidy data, shiny, modeling, and more. Katie will make an RStudio cloud link available ahead of the meet-up with a link to the presentation and demos. We will do our best to cover some talks and content that may be harder to find online (like awesome posters and lightning talks).<br/>One goal of the session will be to vote on one topic featured in order to dive into deeper in a future workshop style meet up (hate gather and spread? learn about pivot_longer and pivot_wider and vote for that to be covered in a future meet-up)!</p> <p>As always pizza and soft drinks will be available courtesy of our great local supporter, the Columbus Collaboratory.</p> <p>Parking: Park in any spot marked "Reserved for the Columbus Collaboratory". There should be more than enough available- all are free. If you find that these spots are filled - park anywhere in surrounding lots and Katie will give you a day pass for your dashboard. See pics below for directions.</p>
<p>We've had a lot of sessions on the very important steps of tidying data (what some call "denormalized" data in database land). Tidy data is essential for all things modeling and visualization. The tidyr package offers several functions for reproducible and fast tidying, but two of the main ones (gather and spread) were a bit tricky to use!</p> <p>Join us as we walk through key updates to the tidyr package, namely the new pivot_longer and pivot_wider functions. These functions are designed to be far more user friendly and robust than their old counter parts.</p> <p>Please come with a machine that can access rstudio.cloud. Katie will share link to project prior to session.</p> <p>Misc update: this meet up will be the first that puts us back on our intended schedule, of the second Thursday of every month.</p> <p>As always pizza and soft drinks will be available courtesy of our great local supporter, the Columbus Collaboratory.</p> <p>Parking: Park in any spot marked "Reserved for the Columbus Collaboratory". There should be more than enough available- all are free. If you find that these spots are filled - park anywhere in surrounding lots and Katie will give you a day pass for your dashboard. See pics below for directions.</p>
<p>Please join us for an excellent presentation by R-Ladies regular and R wiz Caitlin Clary! Caitlin is a PhD Political Science grad from OSU and a Data Scientist at Biostat Global Consulting LLC. Caitlin will cover the fundamentals of working with spatial data and shapefiles in R. Then we’ll dive into visualizing spatial data with ggplot2 and ggmap and creating dynamic, interactive maps with leaflet.</p> <p>Unfortunately we had to deviate a bit from our second Thursday of the month regular schedule due to, well, life :)</p> <p>Typical info below - specifics on the way!<br/>___________________________________________________________________________________<br/>Please come with a machine that can access rstudio.cloud. We will share link to project prior to session.</p> <p>As always pizza and soft drinks will be available courtesy of our great local supporter, the Columbus Collaboratory.</p> <p>Parking: Park in any spot marked "Reserved for the Columbus Collaboratory". There should be more than enough available- all are free. If you find that these spots are filled - park anywhere in surrounding lots See pics below for directions.</p>
<p>Help R-Ladies represent at the best Tech Holiday party in town! This will replace our regular monthly meetup for December. NOTE: this is not at our usual location, but rather, Root Insurance downtown. For more information and to register to attend please visit this site.</p> <p><a href="https://www.eventbrite.com/e/columbus-tech-community-holiday-celebration-2019-tickets-81895063339?aff=eac2" class="linkified">https://www.eventbrite.com/e/columbus-tech-community-holiday-celebration-2019-tickets-81895063339?aff=eac2</a></p> <p>If you are a regular R-Ladies attendee, please check our slack channel for a special registration link.</p>
<p>Join the social drink with the R-Ladies!</p> <p>Let’s have a casual drink in between workshops, where we can socialize, get to know each other better and have a fun night.<br/>Join us to:<br/>- cbind(you, R-ladies community)<br/>- if(glass[‘volume’] == 0) print(“One more beer please!”)<br/>- Just have a drink and have some fun!</p>
<p>Youth Tech Fest where Girls innovate' for International Women's Day 2019 for girls between 11 and 18 years old @CODAM Amsterdam. Sign up for 'Youth Tech Fest where Girls innovate':</p> <p><a href="http://bit.ly/YouthTechFestGirls2019" class="linkified">http://bit.ly/YouthTechFestGirls2019</a></p> <p>Meld je nu aan voor de 'Youth Tech Fest where Girls innovate' dagje bij CODAM - Coding College Amsterdam. In een programma op 9 maart 2019, van maximaal 5 uren zul je op een leuke en interactieve manier leren innoveren.</p> <p>Locatie is in Amsterdam, bij CODAM de beste coding school ter wereld, op het Marineterrein. Je krijgt na afloop het boekje The New Girl Code cadeau mee. Ben je een meisje tussen de 11 en 18 jaar? Meld je aan en nodig je vriendinnetjes uit. Wees er snel bij, er is plek voor 35 meisjes. Jongens zijn natuurlijk ook welkom, want we staan voor diversiteit en inclusie.</p>
<p>Welcome!</p> <p>We are starting this season with a workshop to boost your skills in R!</p> <p>We will go through the essentials of the tidyverse packages, covering functions that will help you transform and clean a raw dataset to packages that will help you communicate your results with beautiful graphs and tables!</p> <p>Doesn't matter if you are a beginner or if you are an R expert, this workshop is for everyone!</p> <p>For this workshop please bring your laptop with R and Rstudio installed.<br/>We will use the following packages: tidyverse and kableExtra.<br/>Scrips and presentation will be announced and provided before the meetup in the following link: <a href="https://github.com/rladies/meetup-presentations_rotterdam" class="linkified">https://github.com/rladies/meetup-presentations_rotterdam</a>.</p> <p>####Preliminary program:</p> <p>18:00 - 18:15 Welcome and setup</p> <p>18:15 - 19:00 Workshop part 1.</p> <p>19:00 - 19.15 Break.</p> <p>19: 15 - 20:00 Workshop part 2.</p> <p>20:00 - 20:30 Closure and socializing</p> <p>####</p> <p>Looking forward to see you!</p> <p>The materials are available in this <a href="https://drive.google.com/drive/folders/1LkHdk3LxTVM_JALHNBlOJBLSC_9FW-J" class="linkified">https://drive.google.com/drive/folders/1LkHdk3LxTVM_JALHNBlOJBLSC_9FW-J</a>-</p>
<p>It's time for another R-Ladies social drinks!</p> <p>If you don't know us yet, this is the perfect time to get to know the community in an informal setting and learn about who we are and what we do. If you do already know us, then you don't need a reason for grabbing some drinks ;).</p>
<p>Are you familiar with problems setting the working directory?</p> <p>Did you ever had to re-run your code to produce results or graphs?</p> <p>Do you ever have to work with both data, a script and a report?</p> <p>Did you ever opened your own work and got lost in your own files?</p> <p>Do you want to make your code, research or product useful for others? Or for future self?</p> <p>If your answer is yes to any of the questions above, this workshop is for you! You will learn how to maximize effectiveness, reduce frustration, facilitate collaboration and increase readability of your work.</p> <p>Doesn't matter if you are a beginner or if you are an R expert, this workshop is for everyone!</p> <p>######<br/>For this workshop please bring your laptop with R and Rstudio installed.</p> <p>Link to presentation:</p> <p><a href="https://rladies-rdam-workhappier.netlify.com/" class="linkified">https://rladies-rdam-workhappier.netlify.com/</a></p> <p>Link to files for the workshop:</p> <p><a href="https://drive.google.com/drive/folders/1Hpxg0dfFLki7AqTXOdFLBgNdnmw9bQDt?usp=sharing" class="linkified">https://drive.google.com/drive/folders/1Hpxg0dfFLki7AqTXOdFLBgNdnmw9bQDt?usp=sharing</a></p> <p>####Preliminary program:</p> <p>18:00 - 18:15 Welcome and setup</p> <p>18:15 - 19:00 Workshop part 1.</p> <p>19:00 - 19.15 Break.</p> <p>19: 15 - 20:00 Workshop part 2.</p> <p>20:00 - 21:00 Closure and socializing</p> <p>####</p> <p>This event is free and will be hosted by 42workspace (<a href="https://www.42workspace.com/" class="linkified">https://www.42workspace.com/</a>), the leading tech co-working hub of Rotterdam, located in the beating heart of the city, so save your spot now!</p> <p>Looking forward to see you!</p> <p>###</p>
<p>In this workshop, we will provide an introduction to web scraping in R using the package {rvest}.</p> <p>We'll go through some examples together, learning the basic structure of webpages and exploring different ways to extract data from a website.</p> <p>The workshop is intended to be fun, and we'll be web scraping and web querying data about books and their authors to answer the question of how diversely do we read. Therefore it doesn't matter if you are a beginner or if you are an R expert, this workshop is for everyone!</p> <p>Looking forward to see you!</p> <p>######<br/>For this workshop please bring your laptop with R and Rstudio installed.</p> <p>We will be using the following packages: tidyverse and rvest.</p> <p>Link to presentation: To be updated.</p> <p>Link to files for the workshop: To be updated</p> <p>####Preliminary program:</p> <p>18:00 - 18:15 Welcome and setup</p> <p>18:15 - 19:00 Workshop part 1.</p> <p>19:00 - 19.15 Break.</p> <p>19: 15 - 20:00 Workshop part 2.</p> <p>20:00 - 21:00 Closure and socializing</p> <p>####<br/>This event is free of cost.</p> <p>##################<br/>Presentation and materials can be downloaded from: <a href="https://drive.google.com/open?id=1dwkzye9CTcoG_T-cIUJS9enVLeFjKtCY" class="linkified">https://drive.google.com/open?id=1dwkzye9CTcoG_T-cIUJS9enVLeFjKtCY</a></p> <p>Or from our github repo:<br/><a href="https://github.com/rladies/meetup-presentations_rotterdam" class="linkified">https://github.com/rladies/meetup-presentations_rotterdam</a></p> <p>##################</p>
<p>It's time for another R-Ladies social drinks!</p> <p>If you don't know us yet, this is the perfect time to get to know the community in an informal setting and learn about who we are and what we do. If you do already know us, then you don't need a reason for grabbing some drinks ;).</p>
<p>Hang out downtown with other R Ladies and make some hard-core progress on your R goals.</p>
<p>This event will be modeled after Tidyverse Developer Day at the RStudio conference (<a href="https://www.tidyverse.org/articles/2018/11/tidyverse-developer-day-2019/" class="linkified">https://www.tidyverse.org/articles/2018/11/tidyverse-developer-day-2019/</a>)</p> <p>Heather Lendway, Lisa Lendway, and Connor Jo Lewis will walk us through making a contribution to the tidyverse packages. We will focus on documentation changes, so it will be beginner friendly!</p> <p>CONSUMING THINGS:<br/>Just down the hall is a mini coffee shop. Feel free to bring snackies or beverages from home.</p> <p>LOCATION:<br/>Meet us in room 226 of O'Shaughnessy Science (OSS). This is connected to Owens and is part of the Frey Science Center (big cement sign out front). OSS is on the west side of Cretin between Grand and Summit. The east side of the building has an elevator, and the building is ADA accessible.</p> <p>PARKING:<br/>You can park on Summit for free. The parking ramp (on Grand and Cretin) is very close to OSS and is decently priced ($1.00 or $1.50 per hour).</p>
<p>This event is postponed again due to the weather forecast. Sorry for the inconvenience!</p> <p>Create your own website with little or no html/css experience! We will go through the steps to launch and maintain your own static website using the R blogdown package. We will cover picking a theme, configuring, and launching your site, as well as a workflow for updates. We will also create a test blog using Rmarkdown (feel free to bring your own file.). This will be a hands-on working session, so please bring your laptop!</p> <p>If you want to be ready for action:<br/>-Make sure you have an account on either Github or Gitlab and configure it with RStudio (<a href="http://r-pkgs.had.co.nz/git.html" class="linkified">http://r-pkgs.had.co.nz/git.html</a>) - we will show how to launch your site using these options<br/>-Install the blogdown package in R using install.packages(“blogdown”­)</p> <p>CONSUMING THINGS:<br/>Just down the hall is a mini coffee shop. Feel free to bring snackies or beverages from home.</p> <p>LOCATION:<br/>Meet us in room 226 of O'Shaughnessy Science (OSS). This is connected to Owens and is part of the Frey Science Center (big cement sign out front). OSS is on the west side of Cretin between Grand and Summit. The east side of the building has an elevator, and the building is ADA accessible.</p> <p>PARKING:<br/>You can park on Summit for free. The parking ramp (on Grand and Cretin) is very close to OSS and is decently priced ($1.00 or $1.50 per hour).</p>
<p>Want to hone your machine learning skills? Fiona Lodge will guide us through her adventures with the caret package! ("caret" is short for Classificiation And REgression.) This will be a hands-on working session, so please bring a laptop.</p> <p>If you want to be ready for action:<br/>-Install the caret package in R using install.packages(“caret”­)</p> <p>CONSUMING THINGS:<br/>Just down the hall is a mini coffee shop. Feel free to bring dinner, snackies, or beverages from home.</p> <p>LOCATION:<br/>Meet us in room 226 of O'Shaughnessy Science (OSS). This is connected to Owens and is part of the Frey Science Center (big cement sign out front). OSS is on the west side of Cretin between Grand and Summit. The east side of the building has an elevator, and the building is ADA accessible.</p> <p>PARKING:<br/>Street parking on Summit is free but limited. The parking ramp (on Grand and Cretin) is very close to OSS and is decently priced ($1.00 per hour).</p>
<p>Lisa Lendway has invited us into her house to learn about gganimate. Join us for a night of R enthusiasm, education, and sisterhood.</p> <p>Her house is in St. Paul near Lexington/Dale and I-94. After you RSVP, we will let you know her exact address.</p>
<p>Let's enjoy summer and get to know each other! Our agenda is just socializing.</p> <p>We'll meet at Headflyer Taproom on Hennepin in Northeast. Grab a beer if you want a beer. Five Watt Coffee is next door, so grab a coffee if that's your thing.</p>
<p>The public library staff and city/county open data staff have been hosting events (“data parties”) this summer to talk about open data in Saint Paul! The goal is to bring data and data science into the broad umbrella of information you can find and use at the public libraries. This Thursday is the last one and it’s being hosted at Rondo Community Library! I’ll (the “citizen user” representative) be there on a panel with some of the open data staff to talk about community organizations, civic engagement, and data privacy. We’ve had kids come in the past too and they seem to enjoy it. There are snacks and lemonade, hope to see some of you there! There’ll be very little if any discussion of R, but I think the open data is interesting to know about anyway :)</p> <p>If you’re taking the green line, it’s right by the Dale Street stop.</p> <p>Link: <a href="https://sppl.org/data-party/" class="linkified">https://sppl.org/data-party/</a></p>
<p>Somya Sharma will teach us how to use git and Github for version control. No prior experience with Github/git required.</p> <p>This meeting is joint between R Ladies TC and Minneapolis Women in Machine Learning and Data Science (<a href="https://www.meetup.com/minneapolis-wimlds/" class="linkified">https://www.meetup.com/minneapolis-wimlds/</a>).</p>
<p>Some awesome data scientists from the Metropolitan Council will present on their work.</p> <p>1. Using anonymized cell phone location data to research visitation to regional parks – Liz Roten, Associate Data Scientist (<a href="https://www.linkedin.com/in/eroten/" class="linkified">https://www.linkedin.com/in/eroten/</a>)<br/>2. Data science in the public sector – Nicole Sullivan, Data Scientist (<a href="https://www.linkedin.com/in/nicole-a-sullivan/" class="linkified">https://www.linkedin.com/in/nicole-a-sullivan/</a>)</p> <p>Food will be provided by Metropolitan Council!</p>
<p>Melanie will teach us some basics of Rmarkdown and how to make some awesome tables for your reports using the kableExtra package.</p> <p>LOCATION:<br/>Meet us in room 275 of Owens Science Hall (OWS).</p> <p>PARKING:<br/>Street parking on Summit is free but limited. The parking ramp (on Grand and Cretin) is very close to OWS and is decently priced ($1.00 per hour).</p>
<p>Are you looking for some fun with functions? We'll cover writing functions and then using the purrr package to apply functions to functions!</p> <p>For ladies who want to read ahead, I'll probably grab most material from Ch. 9 of Advanced R: <a href="https://adv-r.hadley.nz/fp.html" class="linkified">https://adv-r.hadley.nz/fp.html</a></p> <p>Install purrr before you come. We'll also use some other tidyverse packages, so a one step solution is the following:<br/>install.packages('tidyverse')</p> <p>LOCATION:<br/>Meet us in room 275 of Owens Science Hall (OWS).</p> <p>PARKING:<br/>Street parking on Summit is free but limited. The parking ramp (on Grand and Cretin) is very close to OWS and is decently priced ($1.00 per hour in the evening).</p>
<p>[Please, make sure you register to this meetup on our Eventbrite website! <a href="https://www.eventbrite.co.uk/e/drop-in-code-clinic-tickets-54401135260?aff=ebdssbdestsearch" class="linkified">https://www.eventbrite.co.uk/e/drop-in-code-clinic-tickets-54401135260?aff=ebdssbdestsearch</a><br/>Registrations on Meetup.com only are not valid!! ]</p> <p>Are you an R developer that would like to discuss your latest project with like-minded people? Whether you're stuck on a problem or simply would like to discuss an alternative approach to your solution, Drop-In Clinic is for you!</p> <p>Just come with your laptop and have a friendly chat about what you're doing and how you're doing it. Also, there will be food and drinks to accompany lively brainstorming sessions!</p> <p>What if you don't have a project or an R problem you're currently working on? You should still come! We have a long list of projects you may want to give a go: be it TidyTuesday, Advent of Code or maybe your first contribution to existing Open Source projects? Options are endless, you just need to turn up. All R levels are welcome!</p> <p>Agenda</p> <p>18:30 - 19:00 Open Door: Mingling &amp; Food<br/>19:00 - 19:15 Introductions and Presentation by Treatwell<br/>19:20 - 21:30 Code Clinic: Coding &amp; Brainstorming</p> <p>We'd like to thank Treatwell, the largest hair and beauty bookings website in Europe, for hosting and sponsoring this event.</p>
<p>(Please, ensure that register to this event at our Eventbrite page <a href="https://www.eventbrite.co.uk/e/r-conference-round-up-tickets-55980965575" class="linkified">https://www.eventbrite.co.uk/e/r-conference-round-up-tickets-55980965575</a> , Meetup registration alone won't be valid!).</p> <p>There are several R conferences each year where the latest and greatest work and R is presented. Join us on Thursday 21st Feb to hear about what goes on at these conferences and how you can present your work at the next one!</p> <p>iwoca: iwoca is the fast, flexible source of business finance for all UK businesses. That includes retailers, restaurants, hotels, service providers and more. Businesses use iwoca for all sorts of different purposes, from bridging short-term cashflow gaps to investing in stock opportunities. An R Lady from iwoca will give us an insight into how R is a central part of their workflow.</p> <p>Hannah Frick: Earlier this year Hannah from R-Ladies London attended rstudio::conf in Austin, Texas. rstudio::conf is a conference dedicated to all things R and RStudio, join us to hear Hannah's tales and the freshest R news, hot off the press!</p> <p>R Ladies London Organisers: UseR! conference is another major R conference, this year it will be held in Toulouse, France (July 9-12), the deadline for abstracts is March 1st. Get top tips on getting your abstract accepted from R Ladies who have previously given workshops and spoken at UseR! conferences.</p> <p>Agenda:</p> <p>6:30pm - Doors open (food and drinks won't last forever!)</p> <p>7:00pm - Speaker from iwoca - How iwoca uses R</p> <p>7:30ish pm - Hannah Frick - rstudio::conf</p> <p>8:00ish pm - R Ladies - Getting to UseR!</p> <p>We would like to say thanks to our sponsor tech recruitment agency RedCat Digital and to our hosts business finance providers iwoca. Together with them, we are pleased to promote diversity and create a community of minority genders in the data space!</p>
<p>(Please, ensure that register to this event at our Eventbrite page <a href="https://www.eventbrite.co.uk/e/linear-mixed-models-on-repeated-measurement-data-tickets-58573204030" class="linkified">https://www.eventbrite.co.uk/e/linear-mixed-models-on-repeated-measurement-data-tickets-58573204030</a> , Meetup registration alone won't be valid!).</p> <p>In this workshop we will be exploring how to use linear mixed models when we have data that repeats over time. These kinds of models are often used in longitudinal studies or with time series data. They are powerful as the used maximum likelihood approximations rather than least squares, meaning they can better handle missing data, and competing models can be compared directly. By the end of the workshop you should have a basic grasp of the linear mixed model, how to specify one, how to compare models and how to plot results.</p> <p>The workshop is held by Athanasia Monika Mowinckel, or Mo for short, who is a staff scientist at the Center for Lifespan changes in brain and cognition (LCBC: www.oslobrains.no). She has a PhD in psychology, and loves plotting. And cats. She is a co-founder and current head of the R-Ladies Oslo chapter.</p> <p>Agenda:</p> <p>6pm - doors open quick intros and hellos from R-Ladies and hosts</p> <p>6:30ish pm - quick intros and hellos from R-Ladies and hosts</p> <p>6:40ish pm - workshop starts!!</p> <p>8:30ish pm - end of workshop!</p> <p>See you all there!</p>
<p>This is a joint event between R-Ladies London and the newly established WomenInGeospatial network.</p> <p>• What we'll do<br/>Claudia Vitolo and Julia Wagemann will run a hands-on workshop on:<br/>- how to retrieve open datasets for environmental analyses<br/>- how to load and use vector and raster data<br/>- an overview of the most used packages for mapping and spatial analyses.</p> <p>• What to bring<br/>Laptop with R and RStudio already installed</p> <p>• Important to know<br/>Places are limited, to register please get a free ticket on Eventbrite (<a href="https://www.eventbrite.co.uk/e/geospatial-analysis-workshop-tickets-60122118876" class="linkified">https://www.eventbrite.co.uk/e/geospatial-analysis-workshop-tickets-60122118876</a>).<br/>Meetup RSVP do not count as registration.</p> <p>Code of Conduct:<br/>We expect all attendees to abide &amp; be governed by our community CoC (<a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct</a> ).</p> <p>Image credits:<br/>Photo by NASA on Unsplash</p> <p>Sponsors:<br/>Oxera (for venue) and H20.ai for pizza</p>
<p>Directions: If you stand in front of Shoreditch Grind on Old St roundabout you are directly infront of the building. Head around to the right to find a set of revelving doors and someone will help you get to WeWork on floor 2.</p> <p>Please get yourself a ticket on eventbrite: <a href="https://www.eventbrite.co.uk/o/r-ladies-london-12267598254" class="linkified">https://www.eventbrite.co.uk/o/r-ladies-london-12267598254</a></p> <p>This month we have a great mix of topics from excellent speakers and at a convenient venue!</p> <p>Automating large-scale bioinformatics analysis over cloud with the Deploit Platform- Dr Maria Chatzou, CEO of Lifebit (<a href="https://twitter.com/mariachatzou" class="linkified">https://twitter.com/mariachatzou</a>)</p> <p>Lifebit use Nextflow, a polyglot Domain Specific language that allows us to incorporate bioinformatics tools developed in any programming language in a unified pipeline. We use bioinformatics R packages for the workflows available on the Deploit platform which are available on our github <a href="https://github.com/lifebit-ai" class="linkified">https://github.com/lifebit-ai</a>.</p> <p>Using Machine Learning to understand the impact of regulation on mortgage sales- Zanna Iscenko, Senior Data Scientist / Research Economist at the FCA</p> <p>Start using data.table- Megan Stodel, data scientist at the Ministry of Justice, having shifted career from social research (www.meganstodel.com)</p> <p>When such a large part of data science is data wrangling, it makes a huge difference using the best tools. Megan advocates for the package data.table, which allows users to explore and manipulate datasets in R with great efficiency. As well as extolling its virtues, she'll give an overview of the basic syntax, and hopes to convince you to give it a try!.</p> <p>Agenda:</p> <p>18:00 -- Doors open</p> <p>18:30 -- Talks start</p> <p>20:15 -- Networking</p> <p>This event is kindly hosted by Lifebit in the WeWork Old St Building</p>
<p>Join us for a summer social! Summer has arrived and we have decided to ditch the hard core coding for some social activities. This is an opportunity for us all to hang out and talk about R, data, dogs, cats or whatever takes our fancy!</p> <p>We will bring some blankets and snacks so please RSVP here so that we know how many people are coming. Feel free to bring something to share. In case it rains we will find a pub.</p> <p>Directions:<br/>The closest tube stop is Regents Park (Bakerloo Line) or Great Portland Street (Hammersmith &amp; City, Circle and Metropolitan lines). Enter the park via the entrance next to the Royal College of Physicians and you will see us (we will have a sign). We will also monitor the messages on MeetUp in case you get lost.</p>
<p>(Please, ensure that register to this event at our Eventbrite page<br/><a href="https://www.eventbrite.co.uk/e/julia-silge-tickets-62444943507" class="linkified">https://www.eventbrite.co.uk/e/julia-silge-tickets-62444943507</a>, Meetup registration alone won't be valid!).</p> <p>R-Ladies London have a great pleasure to host Julia Silge (<a href="https://juliasilge.com/about/" class="linkified">https://juliasilge.com/about/</a>), a data scientist at Stack Overflow. If this is the first time you have heard about Julia then prepare to be impressed. She has a PhD in Astrophysics, been a keynote speaker a multiple conferences and has written a book about tidy text mining (<a href="https://www.tidytextmining.com/" class="linkified">https://www.tidytextmining.com/</a>) together with David Robinson. You are not going to want to miss this!</p> <p>About the talk<br/>Text data is increasingly important in many domains, and tidy data principles and tidy tools can make text mining easier and more effective. In this talk, learn how to manipulate, summarize, and visualize the characteristics of text using these methods and R packages from the tidy tool ecosystem. These tools are highly effective for many analytical questions and allow analysts to integrate natural language processing into effective workflows already in wide use. Explore how to implement approaches such as measuring tf-idf, topic modeling, and building classification models.</p> <p>See you all there!</p> <p>Acknowledgements</p> <p>Thank you to Mumsnet for hosting us.</p>
<p>RLadies London is excited to present Max Kuhn on November 20th.</p> <p>Please get yourself a ticket on Eventbrite: <a href="https://www.eventbrite.co.uk/e/max-kuhn-presents-totally-tidy-tuning-tools-tickets-79118372181" class="linkified">https://www.eventbrite.co.uk/e/max-kuhn-presents-totally-tidy-tuning-tools-tickets-79118372181</a></p> <p>Totally Tidy Tuning Tools:<br/>Many machine learning models have hyperparameters whose values cannot be analytically estimated from the data. For example, the number of neighbors in a nearest-neighbor classification model. The tidymodels collection or R packages are a tidyverse interface to modeling. In this talk, the new tune package will be introduced. Examples of the tidy interface to model tuning will be demonstrated.</p> <p>Max Kuhn is a software engineer with RStudio and formerly of Pfizer. Max is a leader in the R community on predictive modelling. He is the author of the caret package and the book Applied Predictive Modelling. (<a href="https://resources.rstudio.com/authors/max-kuhn" class="linkified">https://resources.rstudio.com/authors/max-kuhn</a>)</p>
<p>The final meetup of the year will be a social where we will wrap up the successes of 2019.</p> <p>Please drop in to say hi, what you liked over the year and to discuss your work, career, R life, life outside of R (it exists!) and what we should do next year.</p> <p>Feel welcome even if you didn't come to any meetups through the year!</p> <p>We have a table at Ask For Janice which is a lovely venue which serves great beverages (both alc and non), snacks and meals.</p>
<p>If you would like to be part of the R-Ladies team, join us on 13 September 2018 at 6pm for a kick-off meeting.</p> <p>Please email [masked] if you would like to attend and for more information.</p>
<p>A márciusi meetup-on a vizualizáció készítésre fogunk fókuszálni.<br/>A rendezvény első felében Milibák Eszter mutat érdekes és hasznos vizualizáció készítési tippeket.</p> <p>Az R-felhasználók körében az adatvizualizáció egyik legnépszerűbb eszköze a ggplot2, melynek segítségével könnyen és rugalmasan készíthetünk áttekinthető, esztétikus ábrákat adatainkból. A meetup első felében tartott workshop keretében egy elképzelt csokoládégyár adatain dolgozva megismerkedünk az adatelőkészítés lépéseivel, a wide és a long adatformátumok közötti váltás módszerével. Ezután áttekintjük a stacked bar chartok és a multiple line charok készítésének és testreszabásának részleteit. Végül a ggplot2 egyik kiegészítő csomagja, a cowplot segítségével mini-dashboardon egyesítjük az elkészült ábrákat.</p> <p>A workshop előtt telepítendő csomagok:<br/>plyr<br/>dplyr<br/>tidyr<br/>ggplot2<br/>cowplot</p> <p>Továbbá ajánlott az alábbi cheat sheet letöltése és használata: <a href="https://www.rstudio.com/wp-content/uploads/2015/03/ggplot2-cheatsheet.pdf" class="linkified">https://www.rstudio.com/wp-content/uploads/2015/03/ggplot2-cheatsheet.pdf</a></p> <p>A szükséges adatokat a githubról tudjátok letölteni:<br/><a href="https://github.com/rladies/meetup-presentations_budapest/tree/master/Meetup_2019_03_28" class="linkified">https://github.com/rladies/meetup-presentations_budapest/tree/master/Meetup_2019_03_28</a></p> <p>A meetup második felében pedig egy közös gyakorlásra invitálunk titeket.<br/>A workshop keretein belül bekapcsolódunk kicsit a nemzetközi R közösségbe, a TidyTuesday aktuális kihívását vesszük alapul. A TidyTuesday mozgalom lényege, hogy minden kedden felkerül egy témakörrel kapcsolatban adat,amelyet a vállalkozó kedvűek megtisztítanak és vizualizálnak R-t használva, lehetőleg a Tidyverse package segítségével.<br/>A meetupon az épp aktuális adathalmazzal fogunk dolgozni, önállóan vagy csapatban dolgozzuk fel, és a végén megosztjuk egymással a tapasztalatokat.</p>
<p>Az áprilisi meetup első felében megismerkedhetünk a Google termékek, egész pontosan a Google Sheet és Google Calendar módosításainak módszerével az R segítségével.<br/>A mai világban a kollaboratív felületek, megosztott naptárak vagy épp több ember által szerkeszthető táblázatok egyre elterjettebbek, így egyre többször fordulhat elő, hogy az adataink is ilyen formárban érhetőek el. Az R segítségével lehetőség van a Google online táblázataihoz csatlakozni, módisítani, elemezni azt, vagy éppen automatizálni, személyre szabni a naptárunk frissítését.<br/>A meetupon két csomag segítségével fogunk csatlakozni a Google alkalmazásaihoz, táblázatot létrehozni, módosítani, majd pedig mindezekből egy naptárat készíteni.<br/>Az adat amit használni fogunk a hétvége folyamán lesz elérhető a lenti linken található mappában.</p> <p>Szükséges csomagok (telepítési segítség a lenti linken):<br/>- googlesheets<br/>- googlecalendar</p> <p>A meetup második felében folytatjuk tovább a vizualizációs ismereteink gyakorlását az aktuális TudyTuesday kihívás adatainak segítségével, melyet az alábbi linkem már el is érhettek.</p> <p>Meetup mappája:<br/>- <a href="https://github.com/rladies/meetup-presentations_budapest/tree/master/Meetup_2019_04_29" class="linkified">https://github.com/rladies/meetup-presentations_budapest/tree/master/Meetup_2019_04_29</a></p>
<p>"Tiszta" kódolás R-ben</p> <p>Egy workshop szerű alkalmon egy kisebb adatelemzési feladaton keresztül arról fogunk tanulni, hogy miért érdemes függvényeket írni, milyen a jó függvény. Jó függvények segítségével könnyebben olvasható, módosítható és újrahasználható kódot kapunk.</p> <p>---------------------------------------------------------------------------------------------------</p> <p>A májusi (és egyben valószínűleg szezonzáró) meetupunkon Pál Jenő és Czeller Ildikó fogja a fenti témát bemutatni - nagyszerű alkalom a kódminőségünk fejlesztésére, amit később bármilyen projektünk során kamatoztathatunk (és nem csak R-ben).</p> <p>További részletek az esemény kapcsán a következő hetekben érkeznek.</p>
<p>A júniusi szezonzáró meetup első felében megismerkedhetünk a git verziókezelő használatával Nagy Tamás előadásában.</p> <p>A git (és a rá épülő Github) jelenleg az egyik legnépszerűbb verziókövetési rendszer. Lehetővé teszi, hogy hozzáférjünk a kódunk korábbi vagy alternatív változataihoz, a felhőben tárolva megosszuk elemzéseinket, közreműködőket vonjunk be, és bejelentsünk vagy számon tartsuk az ismert hibákat transzparens és visszakövethető módon.<br/>A nyílt tudomány terjedésével a git használata a kutatók számára is megkerülhetetlenné válik. Azonban a szokatlan terminológia és parancsoros vezérlés sokszor elriasztja azokat, akik nem akarnak elmélyedni a git részleteiben. Ez a workshop azoknak szól, akik szeretnék kihasználni a git(hub) előnyeit anélkül, hogy ki kellene lépniük az RStudio nyújtotta kényelemből.</p> <p>Fő témák: verziókövetés, git és github, repository, clone, fork, save/commit/push, diff, stage, remote, pull, branch, pull request, merge</p> <p>Telepítendő program: git <a href="https://git-scm.com/downloads" class="linkified">https://git-scm.com/downloads</a></p> <p>------------------------------------------------------------------------------------------------------</p> <p>2018 óta R-ben is elérhető a Google Machine Learning könyvtára a Tensorflow. Az esemény második felében Tóth Árpád fog bevezetni minket a Tensorflow világába.</p> <p>A wokrshop a következő témákat fogja érinteni:<br/>- Neurális hálók<br/>- Tensorflow<br/>- Neurális hálók implementálása Keras-szal<br/>- a híres MNIST klasszifikációs modell implemetálása<br/>- Tensorflow estimators API<br/>- Tensorflow Base API</p> <p>A workshop előtt kérjük telepítsétek a Tensorflow-t. A telepítéshez szükséges instrukciókat a következő linken találjátok: <a href="https://github.com/arptoth/tensorflow-in-r" class="linkified">https://github.com/arptoth/tensorflow-in-r</a></p>
<p>Join us for a Data Summer evening and chat with fellow data people!<br/>No presentations this time, just free discussions, food and drinks (pay for your own).</p> <p>This event is English&amp; Hungarian speaking.</p>
<p>Hello everyone,</p> <p>We are excited to welcome you to our first ever R-Ladies (<a href="https://rladies.org/" class="linkified">https://rladies.org/</a>) meeting in Riverside! R-Ladies is an organization whose mission is to promote gender diversity in the R community (including but not limited to cis/trans women, trans men, non-binary, genderqueer, agender). Our first meeting will be held at UCR GradQuant on October 1st at 4 pm. At this initial meeting, our idea is to assess the overall level of the group and decide what we want to do next. We will also have 5-minute lightning talks from anyone who would like to sign up to talk about how they use R in their day-to-day activities (sign-up here - <a href="https://forms.gle/CMgFKjLnquWEf4GfA" class="linkified">https://forms.gle/CMgFKjLnquWEf4GfA</a>).</p> <p>The goal of R-Ladies Riverside is to build a collaborative network inside of UCR formed by mentors and learners, to facilitate knowledge exchange across all experience levels.</p> <p>Whether you are new to R or you are a data-scientist, join us for an afternoon of networking and sharing, and bring your friends!</p> <p>See you soon!</p> <p>Marilia, Daniela, &amp; Teresa</p>
<p>Hello RiveRside community ;-)</p> <p>Come join us for another afternoon of networking and sharing (and pizza!), on Wednesday, November 20th at 5pm, at Rivera Library 140. Whether you are new to R or a data scientist, come talk about the basics of R and work through a ggplot tutorial together. This time we have a bigger room, so bring *all* your friends (and please don't forget to register).</p> <p>As per usual, we will start by learning from two of our fellow R enthusiasts and their 5-min lightning talks. Email us if you are interested in being one of them ([masked]). We will then work through a tutorial on the basics of R and ggplot, so please bring your laptop with R and RStudio already installed. In the end, we will have time for folks to ask for feedback on plots and figures, so bring your data/plots/figures/ideas so we can all brainstorm together =)</p> <p>Once again, big thanks to UCR Library and UCR GradQuant for supporting us!</p> <p>See you soon,</p> <p>Teresa, Marilia &amp; Daniela</p> <p>ps: are you already following us at @RLadiesRiversd twitter?<br/>pps: check this out if you don't know how to install and set up R and RStudio: <a href="https://www.earthdatascience.org/courses/earth-analytics/document-your-science/setup-r-rstudio/" class="linkified">https://www.earthdatascience.org/courses/earth-analytics/document-your-science/setup-r-rstudio/</a></p>
<p>Hello R-Ladies! I know it's late, but happy new year! I want to start off the year with a social that way we can all get re-acquainted, talk, bounce ideas for topics off one another, and most importantly, have a little "wine down" after a busy work day, amiright? 🤷 If you already have suggestions, feel free to comment here but I'd love a chance to meet other data-driven r lovers like myself!<br/>The bar is fairly new but really quaint and has a food truck and an outdoor patio which, if the weather's nice, will be perfect for us. Parking is street only.<br/>Hope to see you there!</p>
<p>** NOTE: Tickets for this event are found at www.miamiwids.com/register . Must register there for tickets. **</p> <p>ABOUT THE EVENT</p> <p>The Global Women in Data Science (WiDS) Conference aims to inspire and educate data scientists worldwide, regardless of gender, and support women in the field. This annual conference is held at Stanford University and 100+ locations worldwide, hosted by WiDS Ambassadors.</p> <p>This one-day technical conference provides an opportunity to hear about the latest data science-related research in a number of domains, learn how leading-edge companies are leveraging data science for success, and connect with potential mentors, collaborators, and others in the field. All genders are invited to participate in the conference, which features exclusively female speakers.</p> <p>WHO SHOULD ATTEND</p> <p>The conference is open to everyone, regardless of gender, who is interested in engaging with and learning from the local data science community.</p> <p>Whether you are an experienced data scientist or looking to learn more about the field, WiDS Miami will have great content and opportunities to connect.</p> <p>WHAT TO EXPECT</p> <p>• Talks from local leaders in the industry</p> <p>• Opportunity to network with the local data science community and leadership, potential partners, employers and employees</p> <p>• Livestream of Stanford Keynote Speakers</p> <p>Light breakfast and lunch will be served.</p>
<p>Hi everyone! 👋🏼 Based on the feedback from our happy hour last month, it appears that people prefer a project based approach to learning. R-Lady Laurel has kindly allowed us to use her data from The National Gallery of Art to investigate issues in provenance. This first workshop will be aimed at setting up Git &amp; GitHub, connect them to RStudio, and important things to consider to have a efficient workflow and easier collaboration with others.</p> <p>Please bring your own laptop as this will be hands-on.</p> <p>Let me know if you have any questions!</p> <p>Oh, wine and cheese will be provided! 🍷💃</p> <p>Tentative schedule:<br/>- 5:30 networking and drinks<br/>- 6:00 workshop</p>
<p>Hello Ladies! We will not be having a Meetup this month. However, our partner in community based R learning, The Data Science Study Group: South Florida, will be having a Meetup on April 24 where a speaker from Microsoft will be giving a talk on Big Data with R in the Cloud. I think this will be a VERY interesting and beneficial talk and those who can attend should! Go and rep R-Ladies! 💪🏼👸<br/>Here is the link to that Meetup for more info: <a href="http://meetu.ps/e/Gm8n8/HMjRK/d" class="linkified">http://meetu.ps/e/Gm8n8/HMjRK/d</a></p>
<p>Hi R-Ladies!</p> <p>Join us for our May meetup at the CIC Miami. We'll have Kimoy Kotun teach us some data wrangling techniques using the data.table and dplyr packages.</p> <p>Kimoy currently works as a Data Specialist at Spirit Airlines. She holds hold an undergraduate and Masters degree in Mathematics. Kimoy started her career in the Revenue Management Group at Spirit and, within the last year and a half, developed a keen interest in the Data Science space as she saw this as an opportunity to hone in and grow her statistical expertise and programming skills. She is a self-taught R user and now uses R on a daily basis in my current role, primarily for reporting and data analysis. Kimoy enjoy reading and learning more about Data Science as it is a constantly evolving field.</p> <p>We looking forward to seeing you there!</p>
<p>Data science methodologies such as CRISP or KDD are used as standard processes for quantitative analysis, providing a structured procedure for handling large and diverse data sets. However, these methodologies can be improved upon. This presentation proposes a hybrid methodology for combining elements from qualitative research (such as personas) in order to improve statistical analysis and provide a deeper understanding into problem setting, using example scenarios from the financial industry.</p> <p>In this talk we will ...<br/>- Reflect on the current standardized methodologies used for quantitative research methods (aka statistics/data science) like CRISP / KDD and how they perform in real life<br/>- Analyze how to embed elements from qualitative research methods to enhance the data science process<br/>- Set the seed for the need of a new methodology<br/>- Open up for ideas/questions</p> <p>About the Speaker:</p> <p>Laura Gabrysiak is a Data Scientist at Visa where she develops statistical models and user-friendly decision analytics tools to help customers get the most out of their data. She is the co-founder of R-Ladies Miami, a worldwide organization for promoting diversity in the R community with more than 100 chapters in 35+ countries. She likes to mentor and shares her knowledge through mentorship programs, tutorials and talks.</p> <p>She has 6 years of professional experience in Business Analytics and User Research in both academia and industry. She has worked with several startups where she helped building teams, developed business analytics strategy and implemented statistical models to gather user intelligence with help of techniques from design thinking. Education: Msc. Information Systems - dschool HPI Alumni.</p> <p>Admission: Free!</p> <p>Parking: TheVentureCity has a rear lot with free parking, accessible via 9th St. Otherwise, you may use metered parking on 8th St.</p>
<p>Come join us on Tuesday July 23rd as we learn about text analytics using R. Specifically, our speaker, Gracie, will discuss Principal Component Analysis and Hierarchical Analysis on text data.</p> <p>About the speaker: Gracie Diaz is a data scientist on the AI and Robotics team at Royal Caribbean. Her work has focused on machine learning techniques related to Natural Language Processing (NLP), from which she is co-inventor on two pending patents. Her background includes security operations at Royal as well as investment and banking roles at Deutsche Bank and Lehman Brothers. She received her B.A. in Applied Mathematics from Johns Hopkins University. Outside of professional pursuits, she particularly enjoys being silly with her husband, her kids, and their dog.</p>
<p>DevFest, organized by different Google Developers Groups (GDG) across the country, are community-run events that offer speaker sessions across multiple product areas, hack-a-thons, codelabs, and more. It is an opportunity for members of the tech community to gather, learn, network, and grow from each other. It will also be a great event to meet new people.</p> <p>Women Techmakers, as a sponsor of DevFest is excited to give an awesome workshop aimed at encouraging women and underrepresented groups to celebrate their achievements!</p> <p>This event is sponsored by Google and Googles' Women Techmakers. It is hosted in collaboration with GDG Cloud Miami (<a href="https://www.meetup.com/GDG-Cloud-Miami/events/jnxfgryzmblc/" class="linkified">https://www.meetup.com/GDG-Cloud-Miami/events/jnxfgryzmblc/</a>)</p>
<p>We're back on ;)</p> <p>This month's meeting will be Design Thinking Sprint workshop sponsored by R-Ladies and Google's Women Techmakers! It is intended to be a continuation of Laura's talk on Design Thinking back in June.</p> <p>‘Design sprint’ is a methodological process which is primarily based on design thinking (a principle founded by a former Googler, Jake Knapp) , it helps you to see beyond the problem and you learn to solve the problems in the most efficient way within a specific time range. It is applicable to anyone in the Data Science/Tech community. The main focus will be more on cultivating mindset and skills rather than on tools.</p> <p>This workshop will be based on the book "Sprint" by Jake Knapp, John Zeratsky, et al. (<a href="https://www.amazon.com/Sprint-Solve-Problems-Test-Ideas/dp/150112174X/ref=sr_1_1?keywords=sprint&amp;qid=1565275020&amp;s=gateway&amp;sr=8-1" class="linkified">https://www.amazon.com/Sprint-Solve-Problems-Test-Ideas/dp/150112174X/ref=sr_1_1?keywords=sprint&amp;qid=1565275020&amp;s=gateway&amp;sr=8-1</a>)</p> <p>This workshop is not exclusive to those in the R community. Anyone is the tech,data science community, or just want to learn about a new approach to solving problems is welcome to join! Lunch will be provided. :)</p> <p>Parking:<br/>Cultural Center Garage:<br/>50 NW 2nd Ave.<br/>Miami, FL 33126</p> <p>$5 flat rate with validation inside the library!</p>
<p>This month we are excited to give the floor to a fellow R-Lady, Rocío Joo!<br/>Rocío Joo, a movement statistician, is a postdoctoral research associate at the University of Florida (Fort Lauderdale Research and Education Center in Davie). She started my coding life in Matlab and slowly transitioned to R.</p> <p>Rocío will present a procedure to text mine scientific articles using an<br/>example of a field of science, movement ecology. She will briefly address identification of the papers of interest, execute and discuss code for downloading articles, extracting the text and perform data analysis (topic modeling and wordclouds).</p> <p>Look forward to seeing you there! Please be sure to bring your laptops and as usual, refreshments will be provided! ;)</p>
<p>This year, R-Ladies Miami is partnering up with two of the biggest data science Meetup groups, Data Science Study Group South Florida and Data Science Meetup, to celebrate our community and its growth with an end of the year celebration. It will be held on Tuesday, December 17, 2019. We will reflect on the highlights of the year, talk about what bigger and better things we have in store for 2020 and introduce a civic, community wide project. We also have a very special guest planned 😉</p> <p>If you're in the data science community, this is the event you don't want to miss and we'd love for you to be a part of this joyous event</p>
<p>What's better than R? R plus lunch, of course! Bring your coding questions/concerns/ideas and your laptop to lunch with your fellow R Ladies. We hope to see you there!</p>
<p>R Ladies Iowa City will be having an informal get-to-know-you meeting at THE SANCTUARY (Big Grove is closed for a private event) on Thursday, September 12th! Everyone from new R users to R experts are invited!</p> <p>Feel free to grab a bite to eat or a drink and come find us - we'll have an "R Ladies" sign at the end of our table.</p> <p>Meeting Agenda:</p> <p>- Introductions, including your current level of R experience and areas of R you are interested in learning/improving upon.</p> <p>- Discussion of a New Yorker article about economist Emily Oster who has written about data-driven parenting. The article can be found here: <a href="https://www.newyorker.com/magazine/2019/06/03/parenting-by-the-numbers" class="linkified">https://www.newyorker.com/magazine/2019/06/03/parenting-by-the-numbers</a></p> <p>- Open questions and discussions about anything in R - feel free to bring your laptop!</p> <p>Hope to see you there!<br/>Alex</p>
<p>Would you like to learn how to plot figures in R using ggplot2? Have you been using ggplot2 for a while, but are looking for some tricks to improve your skills? Then this meeting is for you!</p> <p>Meeting agenda:</p> <p>- We will start off the meeting with introductions of everyone in attendance.</p> <p>- Once everyone gets settled, we will move on to a short, interactive presentation on how to use ggplot2, including tips from experienced users.</p> <p>- There will be plenty of time for questions, so feel free to bring any questions about data visualization or any other R projects you are working on.</p> <p>- If there is interest, we can also go through an "Introduction to R" presentation for newer users.</p> <p>We will be meeting in the Biostatistics Department computer lab, located on the third floor of the College of Public Health Building. Once you get to the third floor, look for the "Department of Biostatistics" sign. The computer lab is located just inside the department, to the left.</p> <p>We will try to send out some materials beforehand so stay tuned!<br/>UPDATE: <a href="https://areisett.github.io/ggplot2_tutorial/index.html" class="linkified">https://areisett.github.io/ggplot2_tutorial/index.html</a></p> <p>Hope to see you there!<br/>Alex</p>
<p>This meetup is targeted for ladies who wants to pursue career in data.<br/>During meetup, you'll have chance to connect with data experts in-person.</p> <p>Outline:<br/>- What's R and R-Ladies<br/>- My Experience with R<br/>- Making a Career Out of Data<br/>- Things you can do in R<br/>- Reporting/Visualizations<br/>- Networking &amp; Refreshments</p> <p>Note: Bring your laptops, so we can do cool things in R.</p> <p>Requirements:<br/>- Install R: <a href="http://bit.ly/installR" class="linkified">http://bit.ly/installR</a><br/>- RStudio: <a href="http://bit.ly/RStudio16" class="linkified">http://bit.ly/RStudio16</a></p> <p>Come one and bring friends. You'll have interactive learning and networking opportunity.</p>
<p>R is one of the most popular language to learn Data Science. During the event, you'll find steps to get started in data science. At the event, you'll have opportunities to network and get involved with R community.</p> <p>Come one and bring all. We're excited about the event.</p>
<p>This meetup is targeted to ladies who wants to learn data visualizations and telling story out of data. R is powerful tools for data visualization. So, we will use R to make simpler and easier way to visualize data.</p> <p>Outline:<br/>- Making visualization effectively<br/>- Using tools for visualization<br/>- Peer to peer learning</p> <p>Note: Bring your laptops, so we can do cool things in R.</p> <p>Requirements:<br/>- Install R: <a href="http://bit.ly/2L6ydeL" class="linkified">http://bit.ly/2L6ydeL</a><br/>- RStudio: <a href="http://bit.ly/2Ztv260" class="linkified">http://bit.ly/2Ztv260</a><br/>- R packages: <a href="http://bit.ly/2ZgWEQB" class="linkified">http://bit.ly/2ZgWEQB</a></p> <p>Come one and bring friends. You'll have interactive learning and networking opportunity.</p>
<p>Hi everyone!</p> <p>This meeting will be at a new venue: PeopleSpace in Irvine! From now on, we will be meeting every second Thursday of the month at PeopleSpace.</p> <p>Schedule<br/>- Thursday, March 14th, 6:30-8:30pm<br/>6:30 - Check-in and Networking<br/>7:00 - Announcements + Pi Day Activity<br/>7:30 - The Growth of R in the Actuarial Profession<br/>8:30 - Meeting Adjourned</p> <p>Guest Talk<br/>- Speaker: Tommy Steed, FSA<br/>- Title: The Growth of R in the Actuarial Profession<br/>- Abstract: This presentation will begin by giving some background on the actuarial profession. The focus of this discussion will be around how the use of R has grown, and will continue to grow in the actuarial profession. I will also discuss how the actuarial profession might be a good way for some to break into the data science field.</p> <p>Parking<br/>- Parking is free and in the back of the building or on the street.</p> <p>Technology<br/>- Extension cords and outlet strips will be provided to power your devices.<br/>- Free WiFi will also be provided, and the username/pass will be posted throughout the venue.<br/>- Slides and a recording of the talk will be sent out and posted on our GitHub after the event.</p> <p>Food &amp; Freebies<br/>- Healthy snacks, pie(!!!), and water will be provided.<br/>- Free tidyverse, NASA, and Microsoft Developer Advocates stickers will also be given out.</p>
<p>Schedule (rescheduled from Tuesday, May 28)<br/>- Monday, May 20, 6:30-8:30pm<br/>6:30 - Check-in and Networking<br/>7:00 - Announcements<br/>7:15 - DataFest Winner Presentations<br/>8:05 - Round-table Discussion<br/>8:30 - Meeting Adjourned</p> <p>Guest Speakers<br/>Who: TBA, the winners of ASA DataFest 2019 at Chapman University<br/>What: Presentations of their findings and what they learned</p> <p>Please also RSVP with our Google Form so that we can obtain a more accurate count: <a href="https://docs.google.com/forms/d/e/1FAIpQLScFQbSjfWrZojI0kfFb2JWdQJ2FtKyyCsRL9Jx-ZZsASKmD_w/viewform?vc=0&amp;c=0&amp;w=1" class="linkified">https://docs.google.com/forms/d/e/1FAIpQLScFQbSjfWrZojI0kfFb2JWdQJ2FtKyyCsRL9Jx-ZZsASKmD_w/viewform?vc=0&amp;c=0&amp;w=1</a></p> <p>Parking<br/>- Parking is free and in the back of the building or on the street.</p> <p>Technology<br/>- Extension cords and outlet strips will be provided to power your devices.<br/>- Free WiFi will also be provided, and the username/pass will be posted throughout the venue.<br/>- Slides (pending speakers' permissions) will be sent out and posted on our GitHub after the event.</p> <p>Food &amp; Freebies<br/>- Pizza, Healthy snacks, Soda, and water will be provided.<br/>- Free R-Ladies, tidyverse, NASA, and Microsoft Developer Advocates stickers will also be given out.</p>
<p>Crossposted from PeopleSpace: <a href="https://www.meetup.com/peoplespace/events/260333506/" class="linkified">https://www.meetup.com/peoplespace/events/260333506/</a></p> <p>OC Tech User Groups Summer Bash 2019.<br/>EVENTBRITE REGISTRATION:<br/><a href="https://ocug-summerbash-2019.eventbrite.com" class="linkified">https://ocug-summerbash-2019.eventbrite.com</a></p> <p>This is a joint group effort by the following meetup groups:</p> <p>- OWASP Open Web Application Security Project<br/>- OCJUG Orange County Java User Group<br/>- OC Android Developers Orange County Android<br/>- PeopleSpaceOC PeopleSpace: OC Tech Hub<br/>- OCRUG Orange County R User Group<br/>- OC Python<br/>- AI &amp; Analytics Applied Artificial Intelligence and Analytics<br/>- OC Deep Learning<br/>- R-Ladies Irvine</p> <p>This event is free to the community. Come together and network, win some prizes and have a few drinks!</p> <p>We will be serving Summer foods, beers/wine, water, juice, soda &amp; more.</p> <p>Watch the video of Summer Bash 2018: <a href="https://youtu.be/HTfj2PFv1yY" class="embedded">https://youtu.be/HTfj2PFv1yY</a></p>
<p># Event Summary<br/>Want to learn how to build an R package, but aren't sure where to start? This workshop is for you! Run by R-Ladies Irvine, the goal of this workshop is to empower you to start contributing back to the R ecosystem with package development. An example package will be developed during the workshop so you can follow along and create your own. We’ll be using materials developed by Hadley Wickham, Jenny Bryan, and Di Cook.</p> <p>In this workshop, we will cover package structure and set-up, creating functions, documentation, testing, dependencies, sharing your package with others, package vignettes/articles, hex stickers, and more!</p> <p>If you have never built an R package before, we especially encourage you to come out. We'll walk you through the basics, and you'll leave having put together your first R package.</p> <p># Speakers<br/>The leader of this workshop will be Alyssa Columbus, who currently maintains 3 R packages.</p> <p>TAs for this workshop will be announced soon.</p> <p># Schedule<br/>Thursday, August 8th, 6:30-8:30pm<br/>6:30 - Check-in and Networking<br/>6:50 - Announcements<br/>7:00 - R Package Development Workshop<br/>8:30 - Meeting Adjourned</p> <p># Parking<br/>- Parking is free and in the back of the building or on the street.</p> <p># Technology<br/>- Extension cords and outlet strips will be provided to power your devices.<br/>- Free WiFi will also be provided, and the username/pass will be posted throughout the venue.<br/>- Slides will be sent out and posted on our GitHub after the event.</p> <p># Food &amp; Freebies<br/>- Healthy snacks and water will be provided.<br/>- Free R-Ladies, tidyverse, NASA, and Microsoft Developer Advocates stickers will also be given out.</p>
<p># Event Summary<br/>Join us for our Halloween celebration and hackathon!</p> <p>Come as you are or in a costume. Together, we'll learn how to build a Halloween animation and other animated visualizations with the gganimate package.</p> <p>To learn more about gganimate, visit its official website: <a href="https://gganimate.com/" class="linkified">https://gganimate.com/</a></p> <p># Schedule<br/>Thursday, October 10th, 6:30-8:30pm<br/>6:30 - Check-in and Networking<br/>6:50 - Announcements<br/>7:00 - Halloween Hackathon<br/>8:30 - Meeting Adjourned</p> <p># Parking<br/>- Parking is free and in the back of the building or on the street.</p> <p># Technology<br/>- Extension cords and outlet strips will be provided to power your devices.<br/>- Free WiFi will also be provided, and the username/pass will be posted throughout the venue.<br/>- Slides will be sent out and posted on our GitHub after the event.</p> <p># Food &amp; Freebies<br/>- Healthy snacks and water will be provided.<br/>- Free R-Ladies, tidyverse, NASA, and Microsoft Developer Advocates stickers will also be given out.</p>
<p>For more details and to RSVP please visit EventBrite:</p> <p><a href="https://octugwinter.eventbrite.com/" class="linkified">https://octugwinter.eventbrite.com/</a></p>
<p>*This event is a collaboration of Lyon Data Science (<a href="https://www.meetup.com/Lyon-Data-Science/" class="linkified">https://www.meetup.com/Lyon-Data-Science/</a>) with R-Ladies Lyon. Please register for this event at <a href="https://www.meetup.com/Lyon-Data-Science/events/259188960/" class="linkified">https://www.meetup.com/Lyon-Data-Science/events/259188960/</a></p> <p>For this new session of Lyon Data Science, three cancer researchers from the International Agency for Research on Cancer (IARC) will discuss diverse approaches in studying cancer with applications in R.</p> <p>First, Dr. Virani will present a surveillance method focused on predictions of cancer incidence trends into the future to determine magnitude and burden over time. Next, Dr. Mariosa will discuss how to use genetic information to identify cancer risk factors using Mendelian randomization. Finally, Dr. Lennon will present examples of determining how different weight trajectories throughout lifetime relate to cancer risk.</p>
<p>Welcome to our first event! It's free!</p> <p>R-Ladies Lyon is pleased to welcome Dr. Hilary Robbins, scientist at the International Agency for Research on Cancer (IARC/WHO) in Lyon, France.</p> <p>Her research develops and applies risk-based approaches to cancer screening, with a current focus on lung cancer screening.</p> <p>Dr. Robbins will give a brief overview of her career thus far in cancer research, including how R fits into her profile as a researcher. She will discuss how she came to use R, an application from her current research (predicting risk of lung cancer during CT screening), some tips and tricks with her favorite tidyverse packages, and a few reflections about being an R lady in a male-dominated field.</p> <p>Presenter: Dr. Hilary Robbins<br/>Title: Reflections from an R Lady in the Untidyverse of Cancer Research<br/>Twitter: @hilaryarobbins<br/><a href="https://www.linkedin.com/in/hilary-robbins-6a840223/" class="linkified">https://www.linkedin.com/in/hilary-robbins-6a840223/</a><br/><a href="https://scholar.google.com/citations?user=ehL9SRcAAAAJ&amp;hl=en" class="linkified">https://scholar.google.com/citations?user=ehL9SRcAAAAJ&amp;hl=en</a></p> <p>The talk will be held in English but you can ask your questions in French and we will help you translate. R-Ladies offers a platform for women to present their work and everyone is welcome to attend! Pizza and drinks will be provided after the presentation.</p> <p>Follow us on twitter! @RLadiesLyon</p>
<p>On Monday, RLadies-Lyon are welcoming Romain François, creator of dplyr to Lyon where will be introducing new functions in the soon to be released dplyr 0.9.0 R package.</p> <p>Us RLadies-Lyon are planning an informal pre-event on a rainy weekend in a warm coffee shop with a co-learning twist, with the aim to catch up on what we may have missed up to episode 8 :-)</p> <p>This plans to be an informal event on a long rainy weekend which uses Monday's event to motivate us to work our way through the online Advanced R textbook,<br/>Found here:<br/><a href="https://adv-r.hadley.nz/foundations-intro.html" class="linkified">https://adv-r.hadley.nz/foundations-intro.html</a></p> <p>In particular, Chapter 13 on S3 objects, and the vctrs package, because this paragraph is gobbledegook to me right now!!</p> <p>&lt;&lt;13.1 Introduction<br/>S3 is R’s first and simplest OO system. S3 is informal and ad hoc, but there is a certain elegance in its minimalism: you can’t take away any part of it and still have a useful OO system. For these reasons, you should use it, unless you have a compelling reason to do otherwise. S3 is the only OO system used in the base and stats packages, and it’s the most commonly used system in CRAN packages.&gt;&gt;</p> <p>Ladies, come and join us for a relaxed Sunday afternoon of coding fun.</p> <p>Anyone with experience is HIGHLY ENCOURAGED TO ATTEND &lt;3</p> <p>À dimanche</p>
<p>RLadies-Lyon would like to welcome Romain François, creator of dplyr to Lyon! He will be introducing new functions in the soon to be released dplyr 0.9 R package.</p> <p>The event will start promptly at 7pm and will be followed with a round table of informal questions until 9pm.</p> <p>!!! AN EVENT NOT TO BE MISSED !!!</p> <p>Find out more about about open-source software and come and ask all of your questions !! <a href="https://purrple.cat/blog/2018/03/22/i-m-not-looking-for-a-job" class="linkified">https://purrple.cat/blog/2018/03/22/i-m-not-looking-for-a-job</a></p> <p>The talk will be in english. Questions can be asked in french also.</p> <p>Summary<br/>The future dplyr 0.9.0 has been in development for a few months. It brings<br/>exciting new developments largely thanks to the vision and implementation<br/>of underlying packages rlang and vctrs. dplyr is more robust and stable<br/>because of that.</p> <p>One of the most important changes is that expressions in mutate() and<br/>summarise() can now return tibbles that are either packed or unpacked.</p> <p>We'll go through the new proposed functions pick() and across() and how they fit together with other functions from dplyr, i.e. mutate() and summarise(), and beyond, e.g. pack() and unpack() from the newest version of tidyr.</p>
<p>We are excited to announce that Hadley Wickham will be the guest of the joint event organized by Vienna&lt;-R and R-Ladies Vienna on March 18.</p> <p>[About our speaker]</p> <p>Hadley is chief scientist at R-Studio and well known for his contributions to the R programming language including his *tidyverse* packages like ggplot2, dplyr, readr and the software development package devtools.</p> <p>[Agenda]</p> <p>- Introduction to Vienna&lt;-R</p> <p>- Laura Vana (R-Ladies Vienna)<br/>This joint event is the first meetup of R-Ladies Vienna this year so we will kick off the meeting with an introduction to the Vienna Chapter of R-Ladies and an overview of our ongoing and future initiatives and events.</p> <p>- Hadley Wickham (RStudio)</p> <p>[Q &amp; A]</p> <p>If you want to ask Hadley or myself any questions during the Q&amp;A session please let us know, for example with a message below or an email to [masked].</p> <p>[Networking]</p> <p>After the talks we are planning a networking session with some food and<br/>drinks.</p> <p>Looking forward to seeing you there!</p>
<p>Dear all,</p> <p>The goal of our next meetup is for our attendees to become acquainted with R and R Studio in order to start their data analytics journey.</p> <p>We'll cover:</p> <p>* Brief intro to R as a programming language<br/>* Functions, data structures, data types<br/>* Reading data into R<br/>* Basic data visualization in R<br/>* R packages<br/>* Examples and use cases</p> <p>If time allows we will briefly introduce to you Rmarkdown and give a glimpse into how to make your analysis more reproducible.</p> <p>We recommend you bring your own laptop where you have<br/>R and RStudio installed (<a href="https://cran.r-project.org/" class="linkified">https://cran.r-project.org/</a> and <a href="https://www.rstudio.com/products/rstudio/download/" class="linkified">https://www.rstudio.com/products/rstudio/download/</a>).<br/>In case you want to install Rmarkdown you can follow the instructions at <a href="https://bookdown.org/yihui/rmarkdown/installation.html" class="linkified">https://bookdown.org/yihui/rmarkdown/installation.html</a></p> <p>See you soon!</p>
<p>Hi everyone!</p> <p>The first session of the Bayesian statistics study group will take place on 17th of April.</p> <p>The book that we will use is Bayesian Data Analysis by Andrew Gelman et al.<br/><a href="https://www.amazon.com/Bayesian-Analysis-Chapman-Statistical-Science/dp/1439840954" class="linkified">https://www.amazon.com/Bayesian-Analysis-Chapman-Statistical-Science/dp/1439840954</a></p> <p>In our first session we will cover Chapter 1 of the book.</p> <p>Looking forward to seeing you there!</p>
<p>The First data4good Hackathon In collaboration with the Vienna Data Science Group and WeAreDevelopers::Keep-Current will take place in the last weekend of April!</p> <p>Are you looking to use your skills, knowledge or interest in data for good? Then join us in our first data4good Hackathon, for two days of pure coding &amp; fun while doing something good on the way -- Be a part of the change you want to see in the world of data!</p> <p>We seek all data enthusiasts:<br/>aspiring data scientists or experienced data wizards; savvy solvers of business intelligence requests; machine learning pros, predictive analytics angels, data mining experts, computer vision idealists, UX maestros and ambitious developers with an interest in social causes…</p> <p>Let's help together GruenStattGrau, Hilfswerk Österreich, Hilfswerk International &amp; CivesSolutions in their quest.</p> <p>For more details: <a href="https://viennadatasciencegroup.at/data4good/" class="linkified">https://viennadatasciencegroup.at/data4good/</a></p> <p>!!! IMPORTANT !!!<br/>--------------<br/>This time it's not enough to just click attend. To be matched in the teams, please register yourself here:<br/><a href="https://www.eventbrite.at/e/data4good-hackathon-wien-tickets-58713887819" class="linkified">https://www.eventbrite.at/e/data4good-hackathon-wien-tickets-58713887819</a></p> <p>Schedule:<br/>--------------<br/>Saturday:<br/>09:00 Breakfast and open Help Desk<br/>10:00 Opening<br/>10:30 Project introduction by the Data Science Leads + 15min Q&amp;A<br/>11:15 Team-building<br/>11:30 Hacking !!!<br/>13:00 Lunch break<br/>14:00 Hacking !!!<br/>17:30 Review: Status report</p> <p>Sunday:<br/>09:00 Breakfast<br/>10:00 Hacking !!!<br/>13:00 Lunch break<br/>14:00 Hacking !!!<br/>15:30 Preparing Demo &amp; Slides<br/>17:00 Final presentations<br/>18:00 End</p> <p>We look forward to seeing you!</p>
<p>Technologists create products and services and in doing so affect our everyday lives now and in the future. If these products and services are supposed to serve our society as a whole, we need a lot of diverse and creative perspectives reflecting the richness of our communities. Therefore, we strongly believe that striving to increase diversity among technologists should be a major goal.</p> <p>On our pursuit for diversity, one of the most encouraging things we can do is to highlight those women who already work on great things within their respective industries, provide them platforms to share their knowledge and inspire by their example.</p> <p>In Vienna, a range of initiatives promoting gender diversity in STEM (science, technology, engineering &amp; math) exist. To increase visibility as well as to facilitate exchange of ideas and getting-to-know-each-other amongst these initiatives, a session solely dedicated to these groups and projects will take place during PyDays Vienna (<a href="https://www.pydays.at" class="linkified">https://www.pydays.at</a>)</p> <p>Enlisted Initiatives:<br/>- Co-Mentoring Programme - Women in Data Science<br/>- Feminist Python Meetup for Women* and Non-Binary Folks in Vienna<br/>- Feminist Linux Meetup für Frauen*, Non-Binary*, Trans* und Inter* Personen<br/>- diebin.at - Verein zur Förderung emanzipatorischer Informations- und Kommunikationstechnologien<br/>- R-Ladies Vienna<br/>- IEEE Women in Engineering</p> <p>People of all genders are welcome to attend our event.<br/>Find out more at: <a href="https://www.pydays.at/womenintech/" class="linkified">https://www.pydays.at/womenintech/</a></p>
<p>Dear all,</p> <p>It is our pleasure to announce Bettina Grün as our next speaker for this Friday's Meetup.</p> <p>Bettina will be giving a talk on</p> <p>"Extending R with Packages".</p> <p>Bettina is an Associate Professor of Applied Statistics at JKU Linz. She is an active member of the R community and has written our co-authored numerous R packages such as flexmix, topicmodels, bayesmix, arules, exams, movMF and betareg. Moreover, she is an ordinary member of the R Foundation and currently serves as Editor-in-Chief for the Journal of Statistical Software.</p> <p>After the talk we will go for some drinks in one of the restaurants at the WU Campus.</p> <p>We are looking forward to seeing you on Friday!</p>
<p>Dear all,</p> <p>As our last event before the summer we would be happy if you joined us for some drinks and networking next Tuesday on the Donau Kanal at Summer Stage. It would be a great opportunity to get to know each other or simply catch up.</p> <p>Next events will resume after the summer!</p> <p>We are looking forward to meeting you!</p> <p>To those of you who can’t join, we wish you a happy summer!</p>
<p>Dear all,</p> <p>We are happy to announce Achim Zeileis and Joel Gotsch for our next joint event with the ViennaR meetup group. This time the Meetup is hosted at Raiffeisen Bank International (at Stadtpark, 1030 Vienna - "Skyroom").</p> <p>Topics:</p> <p>1. Achim Zeileis: Distributional Regression Forests for Probabilistic Modeling and Forecasting.</p> <p>2. Joel Gotsch: Dynamic FX Margin Optimization</p> <p>After the talks you are invited to join the networking session with refreshments provided by our host RBI.</p> <p>See you soon!</p>
<p>Welcome to R-Ladies Utrecht. We are beyond excited to invite you to our first meetup and kickoff of R-Ladies Utrecht! This will take place on the 29th of August at Dataworkz in Utrecht. Everyone who is interested in the R language and supports inclusion in the community is welcome to join.</p> <p>During the kickoff we would love to get to know you and get your input for upcoming events. There will be some speakers as well, talking about their experience in the R community.</p> <p>We made a survey to get to know you upfront, feel free to fill it in via the following link: <a href="https://forms.gle/12k59r3AEJa7th2K8" class="linkified">https://forms.gle/12k59r3AEJa7th2K8</a></p> <p>-------------------------------------------------------------------------------------------<br/>Schedule<br/>18:00-18:45 Pizza and Socializing<br/>18:45-19:00 Welcome and Introduction to R-Ladies by Annelies Kers &amp;<br/>Dewi Koning + Introduction to Dataworkz<br/>19:00-19:45 Getting to know each other &amp; What do you want from R-<br/>Ladies?<br/>19:45-20:00 Break<br/>20:00-20:45 Surprise Talks - to be announced<br/>20:45-21:00 Drinks and Socializing<br/>-------------------------------------------------------------------------------------------<br/>Special thanks for Dataworkz for hosting us.</p>
<p>Come out and meet your fellow R-Ladies at the local pub. This is a casual first meeting to get to know each other and figure out what sort of future meeting will best fit people's expectations. Please RSVP so we make sure we have enough room for everyone. See you soon!</p>
<p>Bring your laptop and play with R over beverages for an R-centric happy hour.</p>
<p>If you are able to make it, lets get together Thursday at Pinos for a happy hour/play with Tidy Tuesday data/learn new tricks. Come on by after work, I’ll be there all evening although music starts at 7:30 so it will get a little louder up front, but we can hide out in the back. Bring your laptop!</p>
<p>Jenny Bryan is coming to the area and she would like to have a meetup with our group. If you aren’t familiar with her work, Jenny became internet famous for the website that accompanied her STAT 545 course at University of British Columbia. Since then she has transitioned to working on Hadley Wickham’s tidyverse team at RStudio. She is a wonderful friend, a great mom, and a successful woman in academia and tech.</p>
<p>We’ve made it through the holidays and we are all up in 2019!<br/>We are still trying to determine the direction of R-Ladies Des Moines and we’d love your input!<br/>Bring yourself, and friends.<br/>We will provide snacks.<br/>See you there!</p>
<p>March meeting for Des Moines R-Ladies. Finding Data online. Different resources available and getting them into R.</p>
<p>There has been interest in the R package Shiny so I thought we would give an Des Moines R-Ladies introduction to it.<br/>Shiny is an interactive R package that allows the user to manipulate data. Shiny can utilize graphs and maps to display data. It's a visually stimulating and has a wide variety of applications.</p>
<p>Hello Everyone!</p> <p>This year to celebrate the International Women's Day, R-Ladies Melbourne are hosting another networking event!</p> <p>Come along on this Friday 8th of March, join us and get to know the amazing women of R-Ladies Melbourne.</p> <p>This event will be held at The Imperial from 5pm! We're looking forward to seeing you all there!</p>
<p>"Science should be show me, not trust me"</p> <p>This month R-Ladies Melbourne is thrilled to welcome Lavinia Gordon who will give a seminar on reproducible research in R. This talk will walk through the various ways that reproducible research has evolved in R:<br/>- from producing pdf documents<br/>- to including code<br/>- to producing reports<br/>- to creating repositories with all the code and data and documentation</p> <p>Featuring literature programming and version control, and moving R from local to production environments, specifically considering the best methods to run R on cloud computing with AWS.<br/>The idea of this talk is provide enough information on how-tos, so that you feel confident to dive in and have a go!</p> <p>Mrs Lavinia Gordon studied physiology and pharmacology, with a brief stint working for Novartis Pharma in Switzerland, before completing a Masters in Research in Bioinformatics at the University of York, including a collaborative project with GlaxoWellcome. She subsequently worked at the Cambridge Institute for Medical Research, with collaborative projects at the Sanger Institute and EMBL-EBI, and then moved to Melbourne to take up a position in the bioinformatics group at Walter and Eliza Hall Institute of Medical Research. After five years she moved to work as a senior bioinformatician at the Murdoch Children’s Research Institute in September 2006. In April 2014 she accepted a position as the Bioinformatics Manager at the Australian Genome Research Facility. In February 2018 she joined the University of Melbourne Centre for Cancer Research as the Precision Oncology Informatics Manager.</p> <p>This event will be hosted by our fantastic sponsor Zendesk. Pizza and drinks will be provided. Arrive any time from 5:30pm for a 6pm start.</p> <p>We look forward to seeing everyone there!</p> <p>R-Ladies Melbourne</p>
<p>Hi Everyone!</p> <p>This month Ana Mamatelashvili will be joining us to give a seminar on NLP with spaCy in R!</p> <p>There are many natural language processing libraries out there and each has it's own advantages. One of Ana's favourites is spaCy because of it's speed and user-friendliness. In this talk she will discuss how to leverage spaCy's powerful features with the spacyr package and combine them with other packages such as tidytext, quanteda and coreNLP to do natural language processing in R. She will discuss use cases for tokenisation, lemmatisation, extraction of linguistic features and named entities as well as Coreference Resolution.</p> <p>Ana graduated from the University of Pittsburgh with a PhD in mathematics. Since 2010 she has been teaching mathematics and doing research in set-theoretic topology as well as graph theory and continuum theory in the University of Pittsburgh, Auburn University and the University of Melbourne. Between November 2018 and March 2019 Ana has worked with the University of Melbourne WebWork research team developing online homework content for mathematics courses. She became interested in data science a couple of years ago when she started learning to code in R and Python and ended up working on a few data science side projects. In March 2019 Ana joined Eliiza's data science team. She is particularly interested in Natural Language Processing.</p> <p>This seminar will be hosted by our wonderful sponsor Nous. Please arrive from 6pm for a 6:30pm start to the seminar. Pizza and drinks will be provided.</p> <p>We look forward to seeing everyone there!</p> <p>R-Ladies Melbourne</p>
<p>Hi Everyone! This month R-Ladies Melbourne will have two events!</p> <p>For our first event, come and join us to hear from Melina Vidoni who will give a seminar on Open Science through rOpenSci.</p> <p>rOpenSci fosters a culture that values open and reproducible research using shared data and reusable software. In this talk, Melina will share the package review system, their values, and why you should take part of it. Melina will also share different activities carried out by rOpenSci for the R Community.</p> <p>Dr Melina Vidoni is a newly joined academic in the School of Science/Computer Science and Software Engineering at RMIT university. She graduated from the Universidad Tecnológica Nacional (UTN) in Santa Fe, Argentina as an Information Systems Engineer, where she also received her PhD in Information Systems Engineering. In 2018 she founded the Santa Fe chapter for R-Ladies. Currently, she is one of the Associate Editors of rOpenSci, and also a reviewer for the Systers Pass-It-On awards offered by AnitaBorg.org.</p> <p>This seminar will be hosted by our fantastic sponsor Zendesk. Pizza and drinks will be provided for the evening. Please arrive any time from 5:30pm for a 6pm start.</p> <p>We look forward to seeing everyone there!</p> <p>R-Laides Melbourne</p>
<p>Hi Everyone! Here is the second of our July events!</p> <p>For our second event this month R-Ladies welcomes Jenny Shen, who will give a seminar about Cluster analysis with international education data – challenges and insights.</p> <p>Cluster analysis is a statistical classification technique where points with similar characteristics are grouped together in clusters. In this talk, Jenny will talk about how cluster analysis is used to uncover and communicate meaningful insights, in Nous’ work with the Department of Education to understand, quantify and map global student flows. She will discuss how they’ve approached this challenge, used R to go from data to cluster analysis, and how the insights are communicated.</p> <p>With a background in Finance, Jenny developed her R skills on advanced analytics projects during her time at Nous Group. She has used R to analyse global education and jobs data sets (including UNESCO, LinkedIn and Burning Glass) for government and businesses. She engages with stakeholders to contextualise and communicate data-driven insights to inform strategic decision-making. Prior to Nous, Jenny worked in Grant Thornton Consulting, PwC Consulting in Hong Kong and volunteered as a Consulting Director at 180 Degrees Consulting.</p> <p>This event will be hosted by our fantastic sponsor Nous. Pizza and drinks will be supplied for the evening. Arrive any time from 5:30pm for a 6pm start.</p> <p>See you all there!</p> <p>R-Ladies Melbourne</p>
<p>After successful runs for the last two years, the R-Ladies of Melbourne are giving another Introduction to R workshop this August!</p> <p>HERE IS THE LINK TO REGISTER:<br/><a href="https://www.eventbrite.com.au/e/r-ladies-melbourne-introduction-to-r-tickets-68099745171" class="linkified">https://www.eventbrite.com.au/e/r-ladies-melbourne-introduction-to-r-tickets-68099745171</a></p> <p>This workshop will teach the fundamentals of R and will be based on the introductory material from Cambridge University (<a href="https://github.com/cambiotraining/r-intro" class="linkified">https://github.com/cambiotraining/r-intro</a>). You will learn to import, manipulate and plot data in R, using the R studio environment.</p> <p>Who: This course is aimed at real beginners in R.</p> <p>Setup Requirements: Participants must bring their own laptop, on which R and R-studio need to be installed.</p> <p>Contact: Please email [masked] for more information.</p> <p>This event has a limited number of seats so we advise that you register quickly as it will certainly be sold out!</p>
<p>Hi Everyone! Here is the first of our two events in September!</p> <p>Our speaker will be Saras Windecker, who will tell us about reproducibility and containerisation in R.</p> <p>Research using R underpins a wide array of applied decision-making. Growing recognition of irreproducibility of results produced using R raises concerns about the credibility of research and the reliability of decisions they inform. Although there are many aspects to reproducible research, one major problem is the basic lack of computational reproducibility of published work – or the ability to rerun an analysis and reproduce the same results. There are many strategies for improving computational reproducibility, such as clear code structure, functional programming, and version control. Besides these tactics, however, we often find that analyses that reproduce on one machine or in one environment do not run in another, or do not run in the future. This problem is related to changing computing environments and software versions, and can be addressed using containerisation. In this talk, I will introduce containerisation and its implementation using an open-access R package. This introduction should be accessible to those who have never heard of or used containerisation before, as well as those who already actively use services such as Docker for containerisation.</p> <p>Saras Windecker is a Research Fellow in Ecological Modeling at the School of BioSciences, University of Melbourne. She is currently working on spatial risk modelling for Buruli ulcer in Victoria, and is more broadly interested in applied Bayesian hierarchical models, forecasting, and open science.</p> <p>Saras' talk will be hosted by our fantastic sponsor Zendesk. Pizza and drinks will be provided for the evening. Please arrive any time from 5:30pm for a 6pm start.</p> <p>Looking forward to seeing you all there!</p> <p>R-Ladies Melbourne</p>
<p>Hi everyone! Here is the second of our September events!</p> <p>For our second event this month, we welcome Alison Hill, who will give a seminar about plots and how to improve them.</p> <p>In this talk, Alison will talk about one plot’s life cycle, from a sad Powerpoint slide to an Excel chart and finally to the finished product made with the ggplot2 package in R. Along the way, she will discuss why each version of the plot fails in different ways and how each iteration improved on the last one.</p> <p>Alison is a data scientist &amp; professional educator at RStudio, where she works to help people learn and use programming to do better work in less time, with less friction, and (perhaps) more joy. She loves working with data scientists across the spectrum- from beginners to advanced users- and particularly enjoy using software tools to create educational materials that enlighten and engage learners. Topics Alison teaches range from literate programming to machine learning. Her teaching materials have been used by NASA, Pew Research Center, University of Oregon, and now RStudio.</p> <p>This event will be hosted by our fantastic sponsor Nous. Pizza and drinks will be supplied for the evening. Arrive any time from 6.15 pm for a 6.30 pm start.</p> <p>See you all there!</p> <p>R-Ladies Melbourne</p>
<p>Hi Everyone!</p> <p>This month we are running the second of our online lunch seminars! Our presenter will be Zhuowen (Tobey) Zhang and she will give us an Intro to Data Analysis and Graphics with R.</p> <p>In this talk, Zhuowen will introduce how to draw different graphics for different types of data and how to gain some insights from the results (basic knowledge of statistics). This presentation will teach some fundamentals of graphics with R and is aimed at people who are beginning to learn R and want to use R as a data analysis tool.</p> <p>Zhuowen is a masters student in information systems at the University of Melbourne. She used to work as a business analyst intern in ICONIZ, a world’s leading blockchain accelerator. She is interested in using R to analyse data and visualise data to gain some business insights.</p> <p>To join this meetup on October 11, please use this Zoom link:<br/><a href="https://unimelb.zoom.us/j/992794944" class="linkified">https://unimelb.zoom.us/j/992794944</a></p> <p>We hope you enjoy our second online seminar!</p> <p>R-Ladies Melbourne</p>
<p>Happy 3rd Birthday R-Ladies Melbourne!</p> <p>This month marks the third year since we began the Melbourne Chapter of R-Ladies, and to celebrate our co-founder Göknur Giner will be presenting her tips, tricks and treats for R-Shiny!</p> <p>Göknur is a postdoctoral scientist in the Bioinformatics Division at the Walter and Eliza Hall Institute. She has been using her background in Statistics and Applied Mathematics to develop new bioinformatics methods for genomics data analysis.</p> <p>Göknur loves the functionality that R brings into her work. One of her favourite tools is Shiny, a tool that makes it incredibly easy to build interactive web applications with R (the official description of the Shiny package). Besides developing and maintaining R packages, with Shiny she builds interactive web applications to better communicate her work with her collaborators. In her talk, Göknur will help you build a mini interactive Shiny App and walk you through some common Shiny TRICKS that are frequently asked about. Therefore, her talk may be appealing to advanced shiny developers and newbies at the same time.</p> <p>Since we will be celebrating our third anniversary at this event, Göknur will also share with you our journey from her perspective. Stay with us until the end and join the celebration with some TREATS!</p> <p>Looking forward to seeing everyone there!</p> <p>R-Ladies Melbourne</p>
<p>Hi everyone,</p> <p>HERE IS THE LINK TO REGISTER AND TO FIND MORE INFORMATION:<br/><a href="https://www.eventbrite.com.au/e/designing-data-science-tickets-76433776483" class="linkified">https://www.eventbrite.com.au/e/designing-data-science-tickets-76433776483</a></p> <p>Please BRING YOUR OWN CUP! We will be offering drinks and food but help us reduce our waste.</p> <p>Looking forward to seeing you all!</p> <p>R-Ladies Melbourne</p>
<p>Hi everyone,</p> <p>We invite everyone to take part at the next meeting of the Statistical Society of Australia (SSA) focused on initiatives to increase diversity in math and stats! There will be loads of interesting discussions, a panel discussions starring one of our organisers, Anna Quaglieri, short talks and drinks to follow!</p> <p>REGISTRATION AND INFOS HERE</p> <p>Register on the SSA event page <a href="https://www.meetup.com/en-AU/Statistical-Society-of-Australia-Victorian-Branch/events/266370269/" class="linkified">https://www.meetup.com/en-AU/Statistical-Society-of-Australia-Victorian-Branch/events/266370269/</a> .</p> <p>Looking forward to seeing loads of you there!</p> <p>R-Ladies Melbourne</p>
<p>Merry Christmas Everyone!</p> <p>On December 17 R-Ladies will have our annual Christmas networking event! Join us at The Duke of Wellington Hotel from 5:30pm for some drinks and nibbles.</p> <p>This event will be limited to 40 people only, so be sure to put your name down quick if you would like to attend.</p> <p>We're looking forward to seeing you there!</p> <p>From all the R-Ladies organisers, we hope everyone has a safe and happy holiday season!</p>
<p>Come learn the ins- and outs of one of our favourite packages, dplyr, to learn loads about data manipulation<br/><a href="https://dplyr.tidyverse.org/" class="linkified">https://dplyr.tidyverse.org/</a></p> <p>For meetup materials click here<br/><a href="https://github.com/rladies/meetup-presentations_montreal/tree/master/20190117_dplyr" class="linkified">https://github.com/rladies/meetup-presentations_montreal/tree/master/20190117_dplyr</a></p> <p>Remember that R-Ladies Montreal is part of a worldwide organization to promote gender diversity in the R community. We seek to support women as they learn to use R, or expand their R toolkit, by hosting demos, workshops, and coding sessions. For more information, please send us a message through meetup.</p> <p>All our slides can be found online: <a href="https://github.com/rladies/meetup-presentations_montreal" class="linkified">https://github.com/rladies/meetup-presentations_montreal</a></p> <p>Food and drinks will be provided by our corporate sponsor Upgrade, Inc. <a href="https://www.upgrade.com/" class="linkified">https://www.upgrade.com/</a> and the space is provided by Plotly <a href="https://plot.ly/" class="linkified">https://plot.ly/</a></p>
<p>Please come with the most updated version of R and RStudio installed on your laptop. Please see our github page for more details on current and past events, including materials and code! <a href="https://github.com/rladies/meetup-presentations_montreal" class="linkified">https://github.com/rladies/meetup-presentations_montreal</a></p>
<p>Hi everyone!</p> <p>At this month's R-Ladies meetup, I'll be presenting an analysis on the impact of women's tech groups (like this one!), on women's presence in the tech community. I'll be using some super cool publicly available data sets, making plots in ggplot2, and just having a great time exploring an interesting research question.</p> <p>I'll have the R code, data and slides up by Thursday AM.</p> <p>They'll be pizza, snacks and beers served :)<br/>Can't wait to see you all there!</p> <p>Erika</p> <p>Please come with the most updated version of R and RStudio installed on your laptop. Please see our github page for more details on current and past events, including materials and code! <a href="https://github.com/rladies/meetup-presentations_montreal" class="linkified">https://github.com/rladies/meetup-presentations_montreal</a></p>
<p>In preparation for this meetup, please arrive with the following:</p> <p>- The most updated version of R - <a href="https://cran.r-project.org/" class="linkified">https://cran.r-project.org/</a><br/>- RStudio - <a href="https://www.rstudio.com/products/rstudio/download/" class="linkified">https://www.rstudio.com/products/rstudio/download/</a> installed on your laptop.<br/>- Create a free Github account <a href="https://github.com/" class="linkified">https://github.com/</a></p> <p>Please see our github page for more details on current and past events, including materials and code! <a href="https://github.com/rladies/meetup-presentations_montreal" class="linkified">https://github.com/rladies/meetup-presentations_montreal</a></p> <p>If you'd like to be added to our slack channel, please send me a message on the meetup platform. We share R tips, share details about conferences and events, and post jobs!</p> <p>We'll have drinks and snacks 🍕</p>
<p>We're so excited to host Isabella Gollini, PhD from University of Dublin <a href="https://sites.google.com/site/isabellagollini/" class="linkified">https://sites.google.com/site/isabellagollini/</a></p> <p>She'll be presenting an Introduction of R aimed at beginners!</p> <p>Please come with the most updated version of R and RStudio installed on your laptop. Please see our github page for more details on current and past events, including materials and code! <a href="https://github.com/rladies/meetup-presentations_montreal" class="linkified">https://github.com/rladies/meetup-presentations_montreal</a></p> <p>As usual, snacks and drinks will be provided!!</p> <p>Happy coding :-)</p>
<p>Ryan Kyle will be giving a talk about Plotly's Dash for R package <a href="https://community.plot.ly/t/announcing-dash-for-r/25692" class="linkified">https://community.plot.ly/t/announcing-dash-for-r/25692</a>. Dash for R creates beautiful web applications that allows you to harness the power of interactive analytics dashboards (learn more <a href="https://dash.plot.ly/" class="linkified">https://dash.plot.ly/</a>).</p> <p>Link to the material for the meetup <a href="https://github.com/rpkyle/rladies-mtl-demo" class="linkified">https://github.com/rpkyle/rladies-mtl-demo</a></p> <p>Link to the Dash for R github repo <a href="https://github.com/plotly/dashR" class="linkified">https://github.com/plotly/dashR</a>!</p> <p>Please come with the most updated version of R and RStudio installed on your laptop. Please see our github page for more details on current and past events, including materials and code! <a href="https://github.com/rladies/meetup-presentations_montreal" class="linkified">https://github.com/rladies/meetup-presentations_montreal</a></p> <p>As usual, snacks and drinks will be provided!!</p> <p>Happy coding :-)</p>
<p>*** PLEASE NOTE CHANGE OF LOCATION ***<br/>1080 Cote du Beaver Hall, Montreal QC<br/>Suite 200<br/>*************************************************</p> <p>We'll be holding a hands-on dplyr workshop. We'll present a brief intro to dplyr, and then have everyone work on a problem set of increasingly difficulty. It'll allow you to work alone and together using dplyr's many functions.</p> <p>Please come with the most updated version of R and RStudio installed on your laptop. Please see our github page for more details on current and past events, including materials and code! <a href="https://github.com/rladies/meetup-presentations_montreal" class="linkified">https://github.com/rladies/meetup-presentations_montreal</a></p> <p>As usual, snacks and drinks will be provided!!</p> <p>Happy coding :-)</p>
<p>R-Ladies Ottawa is pleased to announce that we'll be hosting our official launch event! Come enjoy an evening of R-related discussion, and a chance to network with other R-users from across the city on Thursday March 28th, 2019 at SurveyMonkey (200 Laurier Avenue West, main floor).</p> <p>Feel free to share the event invite with all those who may be interested!</p>
<p>Come join R-Ladies Ottawa for our second event of the year! Topics for the night include:</p> <p>- An introduction to the tidyverse (<a href="https://www.tidyverse.org/" class="linkified">https://www.tidyverse.org/</a>)</p> <p>- Navigating memory limitations in R &amp; tips to help speed up performance</p> <p>- Some useful resources for those seeking to learn/improve their R skills</p> <p>- An example of how R is used in practical research (given by Josie Hughes, who will be presenting her work: "Projecting the cumulative effect of harvest, fire and roads on forest and boreal caribou: a northwestern Ontario example")</p> <p>Feel free to share with all those who you think may be interested. We hope to see you there!</p>
<p>Come join R-Ladies Ottawa for a fun, interactive mini-coding session! For this event, we will be using data from the National Health Interview Survey (NHIS: <a href="https://www.cdc.gov/nchs/nhis/nhis_2017_data_release.htm" class="linkified">https://www.cdc.gov/nchs/nhis/nhis_2017_data_release.htm</a>) to demonstrate how to analyze "real" data. The data we're required to use in our day-to-day work are often messy, hard to read, and may contain missing values. The goal of this exercise is to demonstrate how to overcome these difficulties in order to find meaningful relationships in the data.</p> <p>Note: Please bring your laptops in order to be able to participate in this session! We will leave 20-30 minutes at the end for those of you who wish to share your results.</p> <p>P.S. We put up some starter code to help you load the data in case you need a bit of help to get you started. It's on our GitHub page: <a href="https://github.com/R-LadiesOtt/meetup_Oct02_2019" class="linkified">https://github.com/R-LadiesOtt/meetup_Oct02_2019</a></p>
<p>Hi everyone! We're back from the summer break with a special event -- Lightning Talks! Come learn about what your R-Ladies community is doing and be inspired about different ways of using R!</p> <p>SCHEDULE<br/>18:30. Doors open<br/>18:45-19:00. Intro to R-Ladies<br/>19:00-20:00. Lightning talks:</p> <p>* How to use colourblind-friendly palettes - Laurel Brehm</p> <p>* Cluster analysis in R - Iris Monster</p> <p>* Eye-tracking data in R: the basics - Francie Manhardt</p> <p>* An intro to integrating git into your R workflow - Greta Kaufeld</p> <p>* A brief introduction to exploring movement data (GPS) in R - Marlee Tucker</p> <p>CODE OF CONDUCT<br/>Please take a minute to read our code of conduct -- we are committed to creating a safe and harassment-free environment<br/><a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct</a></p> <p>R-Ladies events are always free and open to anyone who wants to participate as long as they follow the code of conduct. We are pro-actively inclusive of queer, trans, and all minority identities, with additional sensitivity to intersectional identities. Our priority is to provide a safe community space for anyone identifying as a minority gender who is interested in and/or working with R.</p> <p>SPONSORS<br/>A huge thank you to the Gelderland Zuid library for hosting this event!</p>
<p>Are you planning to process and analyze eye-tracking or are just curious how it works?<br/>In this workshops we will cover some basics of eye-tracking: from an example of an eye-tracking experiment to data processing, plotting, and some basic analyses. You don’t need to know anything about eye-tracking but some basic R skills would be good.</p> <p>Come along to learn how to analyse eye-tracking data in a workshop given by Francie Manhardt!</p> <p>Francie is a PhD student at the Radboud University and Max Planck Institute Nijmegen and passionate about sign languages, eye-tracking and R. During her PhD she combined all three – the dream! Over the years, she has conducted many eye-tracking studies and after analyzing her first in excel she is the happiest person to have found R and tackles eye-gaze data in R ever since.</p> <p>REQUIREMENTS<br/>Don't forget to bring your (fully charged!) laptop with R Studio installed.</p> <p>CODE OF CONDUCT<br/>Please take a minute to read our code of conduct -- we are committed to creating a safe and harassment-free environment<br/><a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct</a></p> <p>R-Ladies events are always free and open to anyone who wants to participate as long as they follow the code of conduct. We are pro-actively inclusive of queer, trans, and all minority identities, with additional sensitivity to intersectional identities. Our priority is to provide a safe community space for anyone identifying as a minority gender who is interested in and/or working with R.</p> <p>SPONSORS<br/>A huge thank you to the Gelderland Zuid library for hosting this event!</p>
<p>Happy Women's Day to all R-Ladies!<br/>Let's meet, get to know each other, what we expect from the group, and collect ideas (what, where and how) for possible future meetups! :) :)</p>
<p>Who is invited?<br/>If you've ever tried learning or teaching R, or were curious but could never start off, we invite you to come share your thoughts with us. If you have resources you use to learn or teach R, you can bring these with you!</p> <p>What we plan to do?<br/>We hope to gather ideas and resources about (1) what one needs to use R effectively - at different stages of learning, (2) what the members of this group would like to learn, (3) what the members of this groups would like to teach, (4) what ways of learning/teaching R work and what don't.</p> <p>What we plan to achieve?<br/>By the end of these two hours, we hope to have a collection of resources and concrete monthly workshops that R-Ladies can offer over the next few sessions.</p>
<p>In Diesem Workshop würden wir die Basics von R unterrichten - wie fängt man mit unterschiedlichen Datensets an, was muss man über diese Daten wissen, und wie findet man das heraus. Wir würden basic programming und visualizations in R kennen lernen. Die Teilnehmer haben auch die Gelegenheit, potentielle Probleme zu diskutieren und Tips auszutauschen. Ziel ist die gemeinsame Erarbeitung von relevanten Werkzeugen für Einsteiger.</p> <p>In this workshop we would teach the basics to R - how to start working with different datasets, what one should know about them, and how to evaluate these. We would familiarize ourselves with basic programming and visualizations. Participants would also have the opportunity to discuss potential problems and share tips with each other. The goal is to familiarise beginners to relevant tools</p>
<p>We introduce some common data transformation tools and packages for exploring and pre-processing data. We will work through an example data set together, raising and answering a number of questions. Please carry laptops with R and R Studio already installed and running.</p>
<p>We introduce some common data transformation tools and packages for exploring and pre-processing data. We will work through an example data set together, raising and answering a number of questions. Please carry laptops with R and R Studio already installed and running.</p>
<p>This month we create an R markdown file!! We take a messy dataset, transform it to a tidy one, all while revising a number of commands from BaseR and Tidyverse. Once we have learnt to wrangle and transform this dataset, we will go a step further, making a simple interactive plot in plotly and using KnitR to create an html document of all that we have learnt.</p>
<p>This workshop focuses on techniques to visualize different kinds of geographical data and how to plot these on corresponding maps. Material will be provided with the help of a markdown file.</p>
<p>We'll work together to think about and solve different data problems using a variety of tools for data wrangling, transformation and plotting.</p>
<p>Regressions, general linear models, mixed models, with a touch of plotting and mapping. We'll cover it all!</p>
<p>This time we get into the world of GLMs and GLMMs! Please carry laptops with R and R-studio installed.</p>
<p>This workshop will give us an introduction to machine learning! Please carry laptops with R and R-studio installed.</p>
<p>Dear Rladies,</p> <p>Spring is here, and the Rladies of Brussels is delighted to host data science enthusiasts to a morning coffee of chats and data science news. It would be great to hear your journey, challenges, and triumphs.</p> <p>Hope to see you soon!</p>
<p>Interested in learning R and tidyverse with a real dataset?<br/>Join our workshop at the Robert Bosch Center for Data Science and Artificial Intelligence (RBC-DSAI) Seminar hall, Biotech Dept. Block II, 5th Floor at IIT Madras . This is in association with R Ladies East Lansing. Please sign up at:<br/><a href="https://docs.google.com/forms/d/e/1FAIpQLSdZcUdApcebefGqZJViAO1O74qigjPn49SX4lFXGdO56QF9fA/viewform" class="linkified">https://docs.google.com/forms/d/e/1FAIpQLSdZcUdApcebefGqZJViAO1O74qigjPn49SX4lFXGdO56QF9fA/viewform</a></p>
<p>UCF is holding it's annual Women in Data Science Conference, featuring Keynote Speaker Daphne Kis, CEO of WorldQuant University and Co-Founder of Litmus Health</p> <p><a href="https://events.ucf.edu/event/1196329/women-in-data-science-conference-hear-from-ucf-stanford-university-and-industry-experts/" class="linkified">https://events.ucf.edu/event/1196329/women-in-data-science-conference-hear-from-ucf-stanford-university-and-industry-experts/</a></p> <p>Note: this is not hosted by RLadies, but it is a great opportunity to participate and be part of the Data Science community right here in Orlando. The event is FREE and ALL are welcome!</p>
<p>Coffee Chat on the R-Ladies Slack</p> <p>Sign up for our slack/email list here - <a href="https://twitter.us18.list-manage.com/subscribe?u=2ea47051e532678beaba00ee9&amp;id=0d53e23281" class="linkified">https://twitter.us18.list-manage.com/subscribe?u=2ea47051e532678beaba00ee9&amp;id=0d53e23281</a></p> <p>(if you do not receive a email with a slack invite after signing up email [masked])</p> <p>4pm April 16 BST (UTC+1)</p> <p>8am April 16 PDT (UTC-7)</p> <p>1am April 17 AEST (UTC+10)</p>
<p>Come chat with other members of R-Ladies Remote on the group's slack. Stefanie Butland will be leading us!</p> <p>Find your local time here: bit.ly/rladies-coffeechat</p>
<p>In this workshop, Aurora and Lene will take us through the steps of building a shiny dashboard. We will incrementally build the dashboard, with explanations throughout to help you understand how the components act together.</p> <p>At the end of the workshop, you should have enough basic understanding of shiny to be able to start building your own shiny dashboard.</p> <p>Prerequisites:</p> <p>Laptop with a working installation of Rstudio with the following additional packages installed:<br/>shiny,<br/>shinydashboard,<br/>gapminder,<br/>tidyverse,<br/>DT,<br/>plotly</p> <p>About the Shiny R-ladies:</p> <p>Aurora is a diverse data scientist in NextBridge Anlytics. She works with innovative and demanding analytical tasks, and has also worked with system developement. Her background is from physics and she has a PhD in the field of quantum mechanics and condensed matter physics. She has long experience from teaching in academia and began using R some years ago due to a demand for a shiny dashboard.</p> <p>Lene is a physicist turned data scientist. After analysing data for LHC injections at CERN she joined Nextbridge Analytics in 2016. She enjoys working on a wide range of projects using data and algorithms. After being introduced to R for the second time and tidyverse for the first time she really got into R and after learning about R-ladies she was a part of starting up R-ladies Oslo.</p> <p>Food and refreshments will be provided, a courtesy of NextBridge Analytics.</p> <p>We look forward to seeing you all!</p>
<p>Bayesian methods for rank and preference data - from recommendation systems to cancer genomics</p> <p>Ranking items is crucial for collecting information about preferences in many areas, from marketing to politics. The interest often lies both in producing estimates of the consensus ranking of the items, which is shared among users, and in learning individualized preferences of the users, useful for providing personalized recommendations. In the latter task it is particularly relevant to have posterior distributions of individual rankings, since these can provide an evaluation of the uncertainty associated to the estimates, and thus they can avoid unnecessarily spamming the users.</p> <p>I will present a statistical model which works well in these situations, and which is able of flexibly handling quite different kind of data. The Bayesian paradigm allows a fully probabilistic analysis, and it easily handles missing data and cluster estimation via augmentation procedures.<br/>Interestingly, this Bayesian framework has also proved to be useful for genomic data integration, since typically heterogeneous microarray data are available from different sources, and their combination allows both to gain statistical power and to strengthen the biological insight.</p> <p>Valeria Vitelli holds a PhD in statistics from Politecnico di Milano, Italy. She was a postdoc at Ecole Centrale Paris for a year, within a research group funded by Eléctricité de France working on big data problems in the energy sector. She then moved to the University of Oslo, where after a 5 years postdoc period funded from the Norwegian Cancer Society she became associate professor in September 2018. Her experience spans over several areas of mathematics and statistics, including functional data analysis with applications in physiology, machine learning (describing people mobility in dense urbanized areas from mobile phone data), and finally statistical genomics of cancer.</p>
<p>• What we'll do<br/>This meetup we will go through some data tidying with the {dplyr} and {tidyr} packages from the {tidyverse}. Athanasia (Mo) works a lot with data in various formats, and data cleaning has become a large part of her everyday work. She'll take you though some basic principles, and also highlight the functions that might seem a little hidden, but are truly life savers!</p> <p>There will be some simple food and drink served, and time to mingle.</p> <p>• What to bring<br/>No equipment necessary. If you want to give the process a try with your own stuff and get aid from the speaker, bring a laptop/MacBook with R and RStudio installed. She will be switching between talking and live coding, so you can code along.</p> <p>• Important to know<br/>Everyone who accepts our code of conduct (<a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#english" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#english</a>) is welcome to attend, regardless of gender.</p>
<p>• What we'll do<br/>This meetup will be jam packed with shorter talks highlighting what people use R for, either at work or just for fun. R has become so versatile and is used in so many different settings</p> <p>• List of speakers</p> <p>-- Aurora Voje: The Shiny DiveR Interactive<br/>-- Chi Zhang (Andrea): Learning from heterogeneous Electronic Health Records using R<br/>-- Bethan Cropp : Local model interpretation with LIME<br/>-- Nina Elisabeth Larsgård : How R saves me a month of work a year - using R when working with data quality management<br/>-- Raoul Wolf : Bayesian structural equation models<br/>-- Lene Norderhaug Drøsdal: surpise talk subject!</p> <p>• What to bring<br/>No equipment necessary.</p> <p>There will be some simple food and drink served, and time to mingle.</p> <p>• Important to know<br/>Everyone who accepts our code of conduct (<a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#english" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#english</a>) is welcome to attend, regardless of gender.</p>
<p>Comenzamos este 2019 con un taller de introducción a la programación con R. Es un taller inicial, por lo que no se requiere ningún conocimiento previo. Está abierto a personas de cualquier edad y provenientes de cualquier disciplina. ¿Quieres aprender a programar en un ambiente amable e inclusivo? ¡Te esperamos!<br/>Además, en esta actividad les contaremos con más detalle qué es RLadies, cuáles son nuestros objetivos para 2019 y las novedades que vienen para la comunidad de R en Chile y Latinoamérica para este año.</p> <p>&gt; ¿Qué necesito para participar?</p> <p>Lo primero, es leer nuestro nuestro código de conducta. Es requisito para asistir estar de acuerdo con él: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish</a><br/>Lo segundo, es traer instalado R, RStudio y los "paquetes" que usaremos en tu computador. En el siguiente enlace encontrarás el detalle de cómo instalar y preparar todo: <a href="https://github.com/rivaquiroga/RLadies-Valparaiso/blob/master/intro-programacion-R.md" class="linkified">https://github.com/rivaquiroga/RLadies-Valparaiso/blob/master/intro-programacion-R.md</a> . No podemos asegurar conexión a internet ese día, por lo que te sugerimos traer todo instalado. Si te surge cualquier duda en el proceso, puedes escribirnos a [masked].</p> <p>¡Te esperamos!</p>
<p>El viernes 30 de agosto volvemos a juntarnos, esta vez para aprender sobre visualización de datos en R. El taller estará a cargo de Riva Quiroga (<a href="https://www.twitter.com/rivaquiroga" class="linkified">https://www.twitter.com/rivaquiroga</a>) y en él aprenderemos a utilizar el paquete ggplot2 para la generación de gráficos y el paquete gganimate para animarlos.<br/>Debes traer instalados en tu computador los siguientes paquetes (puedes utilizar este código para hacerlo):</p> <p>install.packages(“tidyverse”)<br/>install.packages(“datos”)<br/>install.packages(“gganimate”)<br/>install.packages(“gifski”)<br/>install.packages(“png”)</p> <p>No tendremos conexión a internet, así que la sugerencia es traerlos instalados con anterioridad. Si no has utilizado R antes, puedes revisar la primera parte de este tutorial para ver cómo instalar todo lo necesario: <a href="http://bit.ly/tutorial-primeros-pasos-R" class="linkified">http://bit.ly/tutorial-primeros-pasos-R</a>.</p> <p>Si es la primera vez que asistes a uno de nuestros eventos, recuerda revisar nuestro código de conducta. Es requisito para asistir estar de acuerdo con él: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish</a></p> <p>El taller está dirigido principalmente a personas que se identifican con el género femenino o con otros géneros disidentes.</p> <p>¡Muchas gracias a la Facultad de Ingeniería de la Universidad de Valparaíso por recibirnos!</p>
<p>R-Ladies East Lansing will have a booth with activities for middle school girls!</p> <p>Who: 4th-8th graders</p> <p>What: Attendees will get the opportunity to rotate through 5 different hands-on Engineering activities led by students, graduate students, and faculty. The format will be similar to an Open House. You get to pick what you want to see!</p> <p>Cost: FREE</p> <p>Hosted by MSU's Women in Engineering<br/><a href="https://www.egr.msu.edu/wie/k-12/programs-outreach" class="linkified">https://www.egr.msu.edu/wie/k-12/programs-outreach</a></p> <p>##################################################################<br/>Interested in volunteering, pitching ideas, and/or setting up the booth?<br/>Please reach us out on Slack: #[masked]-girlday OR<br/>Email us: [masked]<br/>##################################################################</p> <p>** Interested in sponsoring one of our monthly meetups (~$70)? Please contact us at [masked] Thank you!</p>
<p>We're very excited to announce that R-Ladies East Lansing is officially one year old! We hope you'll join us to hear stories from a few R-Ladies about how they got started in their data science careers and enjoy some birthday cake with us too. Shoutout to R-Ladies NYC for this terrific idea!</p> <p>Agenda<br/>6:00p – Arrival &amp; Networking<br/>6:15p – R-Ladies East Lansing[masked] plans &amp; audience feedback<br/>6:30p – Talks (details coming soon)<br/>7:15p – Networking</p> <p>Want to share your data science journey? Contact us at [masked]</p> <p>* Pizza dinner &amp; Cake will be served! Please RSVP on Meetup.<br/>Doors will open at 5:45p for a 6p start. R-babies in arms welcome! :)</p> <p>Meetup sponsor: Department of Computational Mathematics, Science &amp; Engineering, Michigan State University.</p>
<p>WHO is this for?<br/>- If you are new to R &amp; are short-budgeted on time!<br/>- If you'd like to start working with data in R w/o learning all the programming details first!!<br/>- If you have a neat data set you'd like to explore w/ basic statistics!<br/>- If you are getting started with base R and want to learn more!</p> <p>* If any of this is true, this workshop might be for you!</p> <p>AGENDA<br/>6:00–6:15 Meet &amp; Greet | 🍕| Set-up<br/>6:15–7:25 Workshop: Intro to R/RStudio<br/>7:25–7:30 Q&amp;A| How to reach us to continue this conversation!</p> <p>SETUP INSTRUCTIONS<br/>*This is a hands-on workshop. Please bring your laptop<br/>* Before the Workshop: install R &amp; RStudio OR use RStudio Cloud. See full installation instructions: <a href="https://docs.google.com/document/d/1VfD0bGUJBEzliW4C9Xbmk0_Kvx1aUiwY1A7TzY_B7_s/edit?usp=sharing" class="linkified">https://docs.google.com/document/d/1VfD0bGUJBEzliW4C9Xbmk0_Kvx1aUiwY1A7TzY_B7_s/edit?usp=sharing</a></p> <p>Having trouble with installation &amp; set-up? Ping us on Slack! Or come 15min early.</p> <p>USEFUL RESOURCES<br/>Software Carpentry's Video Tutorial for installing R and R Studio:<br/>* For Windows Users: <a href="https://www.youtube.com/watch?v=q0PjTAylwoU" class="embedded">https://www.youtube.com/watch?v=q0PjTAylwoU</a><br/>* For Mac Users: <a href="https://www.youtube.com/watch?v=5-ly3kyxwEg" class="embedded">https://www.youtube.com/watch?v=5-ly3kyxwEg</a></p> <p>** Questions? Find us on slack: rladies-eastlansing.slack.com OR<br/>** Email us: [masked]</p>
<p>Learn to import, explore and clean up raw data with tidyr and dplyr.</p> <p>WHO is this for?<br/>- If you are new to R &amp; are short-budgeted on time!<br/>- If you'd like to start working with data in R w/o learning all the programming details first!!<br/>- If you have a neat data set you'd like to explore w/ basic statistics!<br/>- If you are getting started with base R and want to learn more!</p> <p>* If any of this is true, this workshop might be for you!</p> <p>AGENDA<br/>6:00–6:15 Meet &amp; Greet | 🍕| Set-up<br/>6:15–7:25 Workshop: Importing &amp; Tidying Data w/R<br/>7:25–7:30 Q&amp;A| How to reach us to continue this conversation!</p> <p>SETUP INSTRUCTIONS<br/>*This is a hands-on workshop. Please bring your laptop<br/>* Before the Workshop: install or update R &amp; RStudio OR use RStudio Cloud. See full instructions for installing or updating your software: <a href="https://docs.google.com/document/d/1VfD0bGUJBEzliW4C9Xbmk0_Kvx1aUiwY1A7TzY_B7_s/edit?usp=sharing" class="linkified">https://docs.google.com/document/d/1VfD0bGUJBEzliW4C9Xbmk0_Kvx1aUiwY1A7TzY_B7_s/edit?usp=sharing</a></p> <p>Having trouble with installation &amp; set-up? Ping us on Slack! Or come 15min early.</p> <p>USEFUL RESOURCES<br/>Software Carpentry's Video Tutorial for installing R and R Studio:<br/>* For Windows Users: <a href="https://www.youtube.com/watch?v=q0PjTAylwoU" class="embedded">https://www.youtube.com/watch?v=q0PjTAylwoU</a><br/>* For Mac Users: <a href="https://www.youtube.com/watch?v=5-ly3kyxwEg" class="embedded">https://www.youtube.com/watch?v=5-ly3kyxwEg</a></p> <p>** Questions? Find us on slack: rladies-eastlansing.slack.com OR<br/>** Email us: [masked]</p>
<p>Learn to visualize data with ggplot2.</p> <p>WHO is this for?<br/>- If you are new to R &amp; are short-budgeted on time!<br/>- If you'd like to start working with data in R w/o learning all the programming details first!!<br/>- If you have a neat data set you'd like to explore w/ basic statistics!<br/>- If you are getting started with base R and want to learn more!</p> <p>* If any of this is true, this workshop might be for you!</p> <p>AGENDA<br/>6:00–6:15 Meet &amp; Greet | 🍕| Set-up<br/>6:15–7:25 Workshop: Data Wrangling &amp; Visualization<br/>7:25–7:30 Q&amp;A| How to reach us to continue this conversation!</p> <p>SETUP INSTRUCTIONS<br/>*This is a hands-on workshop. Please bring your laptop<br/>* Before the Workshop: install or update R &amp; RStudio OR use RStudio Cloud. See full instructions for installing or updating your software: <a href="https://docs.google.com/document/d/1VfD0bGUJBEzliW4C9Xbmk0_Kvx1aUiwY1A7TzY_B7_s/edit?usp=sharing" class="linkified">https://docs.google.com/document/d/1VfD0bGUJBEzliW4C9Xbmk0_Kvx1aUiwY1A7TzY_B7_s/edit?usp=sharing</a></p> <p>Having trouble with installation &amp; set-up? Ping us on Slack! Or come 15min early.</p> <p>USEFUL RESOURCES<br/>Software Carpentry's Video Tutorial for installing R and R Studio:<br/>* For Windows Users: <a href="https://www.youtube.com/watch?v=q0PjTAylwoU" class="embedded">https://www.youtube.com/watch?v=q0PjTAylwoU</a><br/>* For Mac Users: <a href="https://www.youtube.com/watch?v=5-ly3kyxwEg" class="embedded">https://www.youtube.com/watch?v=5-ly3kyxwEg</a></p> <p>** Questions? Find us on slack: rladies-eastlansing.slack.com OR<br/>** Email us: [masked]</p>
<p>WhAt is this??? Stack overflow -- LIVE! Bring your own R-coding project to work on. We'll have a few R-Users floating around to take questions and give advice as you troubleshoot your R code</p> <p>AGENDA<br/>5:45–6:00 Doors open | Set-up &amp; questions<br/>6:00–6:15 Meet &amp; Greet<br/>6:15–7:20 Shutup &amp; Code<br/>7:20–7:30 More discussion!</p> <p>TO BENEFIT THE MOST FROM THIS EVENT<br/>1. Bring your laptop w/ pre-installed R &amp; RStudio<br/>2. Come with a well-defined, hour-long task<br/>3. Join R-Ladies East Lansing Slack (<a href="https://rladies-eastlansing.slack.com" class="linkified">https://rladies-eastlansing.slack.com</a>) so that you can ask questions in advance, during and after the meeting.</p> <p>USEFUL RESOURCES<br/>1. Past workshop material: <a href="https://github.com/nguyens7/Rworkshop" class="linkified">https://github.com/nguyens7/Rworkshop</a><br/>2. Hands-On Programming with R by G Grolemund (<a href="https://rstudio-education.github.io/hopr/" class="linkified">https://rstudio-education.github.io/hopr/</a>) &amp; R for Data Science by H Wickham &amp; G Grolemund (<a href="https://r4ds.had.co.nz/" class="linkified">https://r4ds.had.co.nz/</a>)</p> <p>** Questions? Find us on slack: rladies-eastlansing.slack.com OR<br/>** Email us: [masked]</p>
<p>Are you currently working through a Deep Learning or Machine Learning tutorial, course, or project? This Share &amp; Tell roundtable will give you the opportunity to plug in your laptop &amp; share with the rest of the group! It can be any sort of success, failure, or frustration you've experienced on your journey.</p> <p>The focus of the group is R but given that many libraries are only available in Python or other languages, and it's often easier to just use them instead of making everything work in R, I supposed we'll allow it ;) Just be aware there is a high likelihood the audience will be skewed towards R &amp; scientific research workflows (as opposed to Python &amp; software engineering).</p> <p>This is a shared event with PDX WiMLDS (<a href="https://www.meetup.com/PDX-Women-in-Machine-Learning-and-Data-Science/" class="linkified">https://www.meetup.com/PDX-Women-in-Machine-Learning-and-Data-Science/</a>), you can RSVP in either place.</p>
<p>Whether you are new to the whole R world, or a pro, come join in and meet fellow R Ladies! We will do a round table get to learn what others are working on and watch a short RStudio conference video on tidyverse. The Freshwater Trust has graciously offered their conference room for the evening. Some beverages and appetizers provided.</p> <p>Proposed Agenda for R Ladies Meetup Aug 5th 6:30 - 8:00<br/>6:30 Introductions - round table style<br/>7:00 RStudio video - The lesser known stars of the tidyverse – Emily Robinson<br/>7:20 thoughts on video<br/>7:30 share about any issues / questions in R people have, and learn about what projects people are working on, or are interested in.<br/>8:00 Wrap-up</p>
<p>• Lo que haremos<br/>Maëlle Salmon: ingeniera de software de investigación para rOpenSci e ingeniera de software para Locke Data, dará una conferencia en español, con slides en inglés sobre cómo ser una usuaria “resistente” de R.</p> <p>Las invitamos a visitar el blog de Maëlle: <a href="https://masalmon.eu/" class="linkified">https://masalmon.eu/</a></p> <p>• Información importante<br/>La reunión será en el aula 220 del edificio de la Facultad de Ciencias Económicas.<br/>¡Las esperamos!💜</p>
<p>• Lo que haremos<br/>Veremos juntas el webinar en español de Edgar Ruiz titulado: Programación con R. El enfoque será en como programar iteraciones, o ciclos, con paquete purrr y haremos un ejemplo para ponerlo en práctica.</p> <p>Les recordamos que las sesiones son gratuitas y que con un conocimiento básico de R ya nos pueden acompañar.</p> <p>Por último no olvides confirmar asistencia en el meetup de R Ladies para seguir creciendo juntas💜</p> <p>• Lo que hay que traer<br/>Computadora con R Studio instalado.</p> <p>• Información importante<br/>La reunión será en el Edificio de Aulas (Antiguo Sociales), UCR. Aula 303</p>
<p>Carolina Montoya, actuaria del INS nos guiará al cubrir los aspectos básicos de los modelos Bayesianos para estimar un parámetro, y ejemplificará cómo se puede usar R para describir la distribución posterior del parámetro de interés. La charla es introductoria, por lo que no se requiere conocimiento previo en estadística Bayesiana.</p>
<p>Es preferible traer computadora para que el taller sea más didáctico.</p>
<p>¡En esta sesión nos vemos para hablar sobre presentaciones realizadas con la ayuda de xaringan! Sala 1 de audiovisuales en la biblioteca Luis Demetrio Tinoco en la Universidad de Costa Rica. Las esperamos :)</p>
<p>Será en el Aula 300a de la facultad de ciencias económicas. ¡Les esperamos! <a href="https://github.com/malfaro2/RladiesSJO/tree/master/taller_dplyr-master" class="linkified">https://github.com/malfaro2/RladiesSJO/tree/master/taller_dplyr-master</a></p>
<p>Purrr provee herramientas completas y eficientes para manejar funciones y vectores. Permite reemplazar los for-loops para mejor comprensión y eficiencia.</p> <p>¡Les esperamos para aprender sobre el paquete purr!</p> <p>Más información sobre el curso próximamente en: <a href="https://malfaro2.github.io/RladiesSJO/" class="linkified">https://malfaro2.github.io/RladiesSJO/</a></p>
<p>Nos hubiese gustado no tener que montar este meetup, pero nuestra amiga y compañera Karina se lo merece.</p> <p>Para los que todavía no lo sabéis, Karina nos dejó hace unos días. Por eso, y haciéndolo coincidir con su cumpleaños, este domingo 27 de enero nos juntaremos para hacerle un pequeño homenaje de 18:00 a 20:00 en Google Campus Madrid.</p> <p>Karina era una persona muy querida no solo en esta comunidad, sino en muchas otras. Una bellísima persona por dentro y por fuera, con un gran corazón. Siempre dispuesta a ayudar.</p> <p>Karina, te echaremos mucho de menos. Descansa en paz.</p>
<p>¡Feliz 2019! Vamos a empezar este año con un pedazo de taller de data.table.</p> <p>El tratamiento inicial de los datos suele ser la parte más lenta de los proyectos, sobre todo cuando se trabaja con grandes conjuntos de datos. Para resolver este problema se creó el paquete data.table, que puede reducir considerablemente el tiempo de cálculo y la memoria requerida. Además como los data.table siguen siendo data.frame ¡podrás aplicar sobre ellos todas las funcionalidades de R que ya conoces! ¿Qué mejor manera de empezar el año que aprendiendo a trabajar con data.tables?</p> <p>Será un taller práctico, en el que iremos escribiendo juntas el código desde el principio.</p> <p>Desarrollo del taller:<br/>- Presentación R-ladies<br/>- Taller (1:30-2horas)<br/>- Networking</p> <p>Qué hay que traer:<br/>- Portátil<br/>- R instalado (<a href="https://cloud.r-project.org/" class="linkified">https://cloud.r-project.org/</a>)<br/>- RStudio instalado (<a href="https://www.rstudio.com/products/rstudio/download/" class="linkified">https://www.rstudio.com/products/rstudio/download/</a>)<br/>- Librería data.table instalada</p> <p>Los datasets los bajaremos en el taller.</p> <p>Sobre Sara:</p> <p>Ingeniera de Telecomunicación de carrera y Data Scientist de profesión. Disfruta programando y diseñando algoritmos que sirvan para extraer información valiosa. Actualmente trabaja en Minsait abordando proyectos de temáticas muy variadas.</p> <p>¡Te esperamos!</p>
<p>🎊 Ven con nosotras a hablar de análisis de sentimiento y procesamiento de imágenes de la mano de Mariam Malkhasyan y Laura Bolaños. Esta vez estrenamos ubicación: ¡las oficinas de Cabify! 🎊</p> <p>19:00 Presentación<br/>19:15 Análisis de sentimiento con rm, RWeka y ggplot2, por Mariam Malkhasyan. Haremos un análisis de sentimiento con artículos de opinión de películas de Steven Spielberg; para, según la actitud del interlocutor o del escritor respecto a un tema, poder identificar a grandes rasgos si estas opiniones o artículos son positivas, negativas o neutrales. Además, nos detendremos en las librerías más importantes utilizadas en este proyecto, tm, RWeka y ggplot2.<br/>20:00 Práctica de procesamiento de imágenes con magick, por Laura Bolaños<br/>Pequeña práctica en común para conocer lo básico sobre el paquete magick y empezar a procesar imágenes por nuestra cuenta. ¡Tráete el portátil para seguir la práctica y aprovechar esta parte al máximo!<br/>20:15 Networking</p> <p>SOBRE LAS PONENTES:</p> <p>MARIAM MALKHASYAN<br/>Nacida en Ereván, Armenia, se graduó en Estadística y Empresa por la Universidad Carlos III de Getafe. Desde hace dos años trabaja en Cabify como Data Analyst en el departamento de Data Analytics.</p> <p>LAURA BOLAÑOS<br/>Profesional del comercio electrónico y las redes sociales. Máster en Dirección y Administración de Empresas. Su enfoque principal es utilizar datos para mejorar la vida de las personas, especialmente las niñas y las minorías. Actualmente es doctoranda en Economía.</p> <p>¡Después del meetup tendremos tiempo para hacer networking de la mano de Cabify! 😋</p>
<p>Llegamos al final del curso y en el último meetup vamos a hacer un taller de introducción a exploración de datos con R 🥳</p> <p>Esta vez será en el espacio de Elpuente, en el Matadero. Elpuente es una comunidad de mujeres y tecnología que están haciendo sus primeros acercamientos a la programación, guiadas por Margarita Padilla.</p> <p>Programa<br/>19:00 Presentación de R-Ladies<br/>19:05 Presentación de Elpuente<br/>19:15 Taller introducción a la exploración de datos</p> <p>Qué hay que traer<br/>- Portátil<br/>- R instalado (<a href="https://cloud.r-project.org/" class="linkified">https://cloud.r-project.org/</a>)<br/>- RStudio instalado (<a href="https://www.rstudio.com/products/rstudio/download/" class="linkified">https://www.rstudio.com/products/rstudio/download/</a>)</p>
<p>Empezamos el curso con un crossover muy especial: ¡R-Ladies Madrid + Usuarios de R! No os perdáis las XI Jornadas de Usuarios de R, que este año son en Madrid! <a href="http://r-es.org/XIjuR/" class="linkified">http://r-es.org/XIjuR/</a></p> <p>Agenda:<br/>19:00 Presentación<br/>19:30 Carlos Ortega, "El aiRe de MadRid CentRal" - veremos, a partir de los datos abiertos de la calidad del aire del Ayuntamiento de Madrid, un análisis detallado de cómo ha evolucionado la calidad del aire en la zona de "Madrid Central".<br/>20:15 Elen Irazabal, "Cómo R puede leer leyes" - veremos cómo se está aplicando el data science en textos jurídicos y cómo se puede aplicar R para procesar grandes textos como los publicados en el BOE</p> <p>¡Os esperamos!</p>
<p>We are meeting at Area 31, the IE building, to talk about R.</p> <p>R-Ladies Madrid is happy to talk R in English!</p> <p>Lotte and Carmen are two wonderful speakers that work in the world of data science.</p> <p>Lotte will talk about R v ACTG. Unraveling life's coded puzzle that is genomic big data. She says: For me, big data is about solving puzzles and finding patterns in the chaos.<br/>Every individual contains a big dataset of ATCG code, which I got to explore and puzzle together during my PhD. With the patterns that I found, I was able to show that evolution is to some extent predictable.</p> <p>Carmen will talk about data science: as transformation tool.<br/>How data science has transformed society? Algorithms as the new approach getting to know society. Will talk about bias and the new education paradigm.</p> <p>We hope to see you there!</p>
<p>¡Hemos resucitado! ¡Y estamos súper orgullosas de anunciar el primer Meetup de 2019!</p> <p>Este Meetup tendrá como objetivo tener un primer (o más bien segundo) contacto con la comunidad de R-Ladies Barcelona, para poder planear y organizar los siguientes encuentros. Por ese motivo también hemos creado una pequeña encuesta, para poder recoger las opiniones de todas las R-Ladies, podáis o no asistir a este Meetup. Podéis completarla en el siguiente enlace:</p> <p><a href="https://rladiesbcn1.typeform.com/to/BHpgeS" class="linkified">https://rladiesbcn1.typeform.com/to/BHpgeS</a></p> <p>El Meetup tendrá lugar el próximo miércoles 13 de febrero a las 19h en nuestra localización habitual, el Espai Multimèdia (Sants). Aquí os dejamos una pequeña descripción de los temas que trataremos:</p> <p>- Presentación R-Ladies: Qué somos y por qué somos necesarias. Objetivos, ideas y planes para este año.<br/>- Ideas para este nuevo año: Posibles workshops, fast talks, book clubs, etc.<br/>- Fast talk: desarrollo de aplicaciones web en Shiny.<br/>- Turno abierto: preguntas, dudas, comentarios, ideas, etc. ¡Cualquier aportación es bienvenida!</p> <p>Para esta sesión no será necesario que traigáis vuestro portátil (aunque podéis hacerlo si queréis). Además, repartiremos stickers de R-Ladies para todas las asistentes.</p> <p>¡Nos vemos en breves!</p>
<p>Welcome to this new season of R-Ladies Meetups!</p> <p>As a inaugural event, we welcome Judit Guimera, an invited R-Lady from London, who will guide is through the Road to Data Science.</p> <p>19:00 - Introduction to R-Ladies Barcelona<br/>19:15 - Road to Data Science, by Judit Guimera</p> <p>--&gt; Road to Data Science<br/>In this talk we'll discover what Data Science is and which requirements are needed to get a job in it. We will explore what is like to be a data scientist and how to become one as well as what are the different paths that you can take within data science.</p> <p>--&gt; About the invited speaker<br/>Judit Guimera graduated in Aeronautical Engineering at UPC in 2007 and has been working as quality assurance engineer at Bureau Veritas for about 2 years. After moving to London in 2011, she graduated in Air Transport Engineering at City, University of London in 2013 , when she started her PhD in machine learning and data mining applied to air travel forecasting, for which she is pending to submit soon. Judit has worked at Virgin Atlantic Airways for 2 years as a commercial analyst and she has been working as a Data Scientists at Royal Mail for the past year. She loves coding, taking up any challenge and keep learning!</p> <p>--&gt; Attending the Meetup<br/>Remember that in the R-Ladies Meetups we expect to have a majority of R-Ladies, so if you are a man you should come with another R-Lady or invite a non-male friend to the Meetup!</p> <p>Hope to see you all there!</p>
<p>Are your R plots loking kind of sad? Do you want to upgrade your plotting skills? Then it is time to start using ggplot2!</p> <p>19:00 - 20:30: "Improve your plots with ggplot2" workshop by Mireia Ramos-Rodríguez<br/>20:30 - 21:00: Drinks &amp; Networking</p> <p>--&gt; Improve your plots with ggplot2<br/>In this workshop we will learn the basics of how ggplot2 works and how to easily change the looks of our plots. We will also explore other R packages developed to improve the capabilities of ggplot2: make interactive plots, themes &amp; color palettes, and many more things!</p> <p>--&gt; About Mireia Ramos-Rodríguez<br/>Mireia is an R-Ladies Barcelona co-organizer. She did a MSc in Bioinformatics and since 2015 is a PhD fellow in Biomedicine and Bioinformatics at IGTP (Badalona, Spain). Mireia studies islet epigenomics in the context of type 1 diabetes but she is also developing and maintaning the Islet Regulome Browser (<a href="http://isletregulome.com" class="linkified">http://isletregulome.com</a>). She loves cats, videogames, TV shows and - of course - programming!</p> <p>Twitter: <a href="https://twitter.com/mireia_bioinfo" class="linkified">https://twitter.com/mireia_bioinfo</a></p> <p>--&gt; Where?<br/>Sala Marie Curie, PRBB, Barcelona</p> <p>--&gt; What do you need to follow this workshop?<br/>+ B.Y.O.L. (Bring Your Own Laptop - Remember to charge it before the workshop!).<br/>+ R (&gt;=3.6.0) &amp; RStudio.<br/>+ R packages: MORE INFO COMING SOON!</p> <p>--&gt; Attending the Meetup<br/>Remember that in the R-Ladies Meetups we expect to have a majority of R-Ladies, so if you are a man you should come with another R-Lady or invite a non-male friend to the Meetup!</p>
<p>The {tidyverse} contains a collection of packages providing a set of powerful tools for data wrangling and visualization.</p> <p>19:00 - 20:30: "(Teeny-tiny) introduction to the Tidyverse" workshop by Sarah Bonnin<br/>20:30 - 21:00: Drinks &amp; Networking (and pizza!)</p> <p>--&gt; Tidyverse<br/>In this workshop we will learn how to use some of the great life-changing functions that the tidyverse packages offer for data processing, filtering and plotting.</p> <p>--&gt; About Sarah Bonnin<br/>Sarah is an R-Ladies Barcelona co-organizer. She did a Bsc in biology and a Msc in bioinformatics in France, before settling down in Barcelona. She currently works as a bioinformatician at the CRG (Center for Genomic Regulation) where she analyzes all kinds of omics data and provides trainings in R, Linux, and Next Generation Sequencing data analysis.</p> <p>Twitter: <a href="https://twitter.com/SarahFBonnin" class="linkified">https://twitter.com/SarahFBonnin</a><br/>LinkedIn: <a href="https://www.linkedin.com/in/sarahbonnin/" class="linkified">https://www.linkedin.com/in/sarahbonnin/</a></p> <p>--&gt; Where?<br/>Punt Multimèdia - La Casa del Mig</p> <p>--&gt; What do you need to follow this workshop?<br/>+ B.Y.O.L. (Bring Your Own Laptop - Remember to charge it before the workshop!).<br/>+ R (&gt;=3.6.0) &amp; RStudio.<br/>+ R packages: tidyverse.</p> <p>--&gt; Attending the Meetup<br/>Remember that in the R-Ladies Meetups we expect to have a majority of R-Ladies, so if you are a man you should come with another R-Lady or invite a non-male friend to the Meetup!</p>
<p>Rmarkdown is a file format &amp; package for making dynamic documents and automatic reports with R.</p> <p>19:00 - 19:30: "R Markdown" short workshop by Sarah Bonnin<br/>19:30 - 20:30: Short talks of {rmarkdown} related packages, such as: {bookdown}, {pkdown}, {blogdown} or {xaringan}.<br/>20:30 - 21:00: Drinks &amp; Networking</p> <p>--&gt; R Markdown<br/>In the {rmarkdown} workshop we will learn how to build simple and reproducible reports with {rmarkdown}.<br/>The short talks will show you the powerful tools based on {rmarkdown} to produce slides, books, blogs and package documentation.</p> <p>--&gt; About Sarah Bonnin<br/>Sarah is an R-Ladies Barcelona co-organizer. She did a Bsc in biology and a Msc in bioinformatics in France, before settling down in Barcelona. She currently works as a bioinformatician at the CRG (Center for Genomic Regulation) where she analyzes all kinds of omics data and provides trainings in R, Linux, and Next Generation Sequencing data analysis.</p> <p>Twitter: <a href="https://twitter.com/SarahFBonnin" class="linkified">https://twitter.com/SarahFBonnin</a><br/>LinkedIn: <a href="https://www.linkedin.com/in/sarahbonnin/" class="linkified">https://www.linkedin.com/in/sarahbonnin/</a></p> <p>--&gt; Where?<br/>Talent Garden Barcelona (Carrer Muntaner 239 3ºA)</p> <p>--&gt; What do you need to follow this workshop?<br/>+ B.Y.O.L. (Bring Your Own Laptop - Remember to charge it before the workshop!).<br/>+ R (&gt;=3.6.0) &amp; RStudio.<br/>+ R packages: rmardown, ggplot2, dplyr, kableExtra</p> <p>--&gt; Attending the Meetup<br/>Remember that in the R-Ladies Meetups we expect to have a majority of R-Ladies, so if you are a man you should come with another R-Lady or invite a non-male friend to the Meetup!</p> <p>Places are limited, book your spot now!!</p>
<p>En este meet-up de fin de año estaremos dictando un taller acerca de la manipulación de data desde hojas de cálculo de Excel, una de las herramienta de fácil acceso para organizar, analizar y almacenar datos. R sin duda alguna ha implementado algunas formas de leer, escribir y manipular archivos de Excel (y hojas de cálculo en general).</p> <p>Este tutorial sobre la lectura e importación de archivos de Excel en R proporcionará una descripción general de algunas de las opciones que existen para importar archivos de Excel y hojas de cálculo de diferentes extensiones a R. Daremos un vistazo a los comandos básicos en R y paquetes dedicados a esta hermosa tarea.</p> <p>Además hablaremos un poco de lo que fue el Latin R de este año y el que viene!.<br/>¡No olvides traer tu computador con RStudio instalado! ¡Los esperamos!</p>
<p>Dear all,</p> <p>Thanks for joining R-Ladies Frankfurt group!</p> <p>We're happy to invite you to the first meetup on 12th April (Friday).</p> <p>This meeting is to:<br/>(1) Present R-Ladies and the motivation to create R-Ladies in Frankfurt<br/>(2) Get to know each other<br/>(3) Discuss topics that you are interested to learn, your expectations about the group, and options to get involved with R-Ladies Frankfurt<br/>(4) R-Ladies code of conduct</p> <p>This event intends to connect the R-Ladies community in Frankfurt (no matter if you are a complete newbie to R, intermediate or professional R-user) in an informal environment. For that, the idea is to meet for coffee, cake, and networking in a coffeehouse in Frankfurt.</p> <p>Location:<br/>36 Grad<br/>Oppenheimer Landstraße 36<br/>(Schweizer Platz)<br/>60596 Frankfurt</p> <p>What to bring?<br/>Ideas and motivation to brainstorm, meet people, and have fun to create an active R community for women!</p> <p>In the meantime, please fill in the following survey to get an idea of your interests and skill-level: <a href="https://forms.gle/Afn6U6qvekNxYaLL9" class="linkified">https://forms.gle/Afn6U6qvekNxYaLL9</a> Feel free to fill out the survey even if you cannot make it to the meeting, as this is important to pick speakers and topics that are of most interest to you in future meetings!</p> <p>If you have any suggestions/questions, please feel free to get in touch: [masked]</p> <p>Also, follow R-Ladies Frankfurt on twitter: @RLadiesFRA (<a href="https://twitter.com/RLadiesFRA" class="linkified">https://twitter.com/RLadiesFRA</a>) and stay tuned for R and R-Ladies related tweets!</p> <p>Know other people interested in R? Bring them along!<br/>Please only RSVP if you can come!</p> <p>Looking forward to meeting you!</p> <p>Sandra</p>
<p>Dear all,</p> <p>We’re happy to invite you to the second meetup of R-Ladies Frankfurt group on 23rd May (Thursday).</p> <p>This event is going to be a tutorial in which we’re going to explore the tidyverse. The tidyverse is a collection of R packages for data manipulation, exploration, and visualization that share core programming principles. Thus, they are easy to learn and offer basic tools to quickly become an R user.</p> <p>Location:<br/>codecentric AG<br/>Kreuznacher Straße 30<br/>60486 Frankfurt am Main</p> <p>SPECIAL THANKS to codecentric for hosting our event!</p> <p>What to bring?<br/>(1) laptop with<br/>(2) pre-installed R &amp; RStudio (<a href="https://www.rstudio.com/products/rstudio/" class="linkified">https://www.rstudio.com/products/rstudio/</a>)*<br/>(3) pre-installed tidyverse (<a href="https://www.tidyverse.org/" class="linkified">https://www.tidyverse.org/</a>)*<br/>(4) motivation to meet people, and have fun to create an active R community for women!<br/>*If you’re having issues with installation and set-up, don’t worry! We’re all here to help :)</p> <p>If you have any suggestions/questions, please feel free to get in touch: [masked]</p> <p>Also, follow R-Ladies Frankfurt on twitter: @RLadiesFRA (<a href="https://twitter.com/RLadiesFRA" class="linkified">https://twitter.com/RLadiesFRA</a>) and stay tuned for R and R-Ladies related tweets!</p> <p>Know other people interested in R? Bring them along!<br/>Please only RSVP if you can come!</p> <p>Looking forward to meeting you!</p> <p>Sandra</p>
<p>Dear all,</p> <p>We’re happy to invite you to the third meetup of R-Ladies Frankfurt group on 19th June (Wednesday).</p> <p>This event is going to be a tutorial in which we’re going to explore a workflow for data visualization using ggplot2. ggplot2 is a core package from the tidyverse which offers a grammar of graphics.</p> <p>Location:<br/>Frankfurt School Finance and Management<br/>Adickesallee 32-34<br/>Seminar room 209<br/>60322 Frankfurt am Main</p> <p>SPECIAL THANKS to the Frankfurt School Finance and Management for hosting our event!</p> <p>What to bring?<br/>(1) laptop with<br/>(2) pre-installed R &amp; RStudio (<a href="https://www.rstudio.com/products/rstudio/" class="linkified">https://www.rstudio.com/products/rstudio/</a>)*<br/>(3) pre-installed tidyverse (<a href="https://www.tidyverse.org/" class="linkified">https://www.tidyverse.org/</a>)*<br/>(4) motivation to meet people, and have fun to create an active R community for women!<br/>*If you’re having issues with installation and set-up, don’t worry! We’re all here to help :)</p> <p>If you have any suggestions/questions, please feel free to get in touch: [masked]</p> <p>Also, follow R-Ladies Frankfurt on twitter: @RLadiesFRA (<a href="https://twitter.com/RLadiesFRA" class="linkified">https://twitter.com/RLadiesFRA</a>) and stay tuned for R and R-Ladies related tweets!</p> <p>Know other people interested in R? Bring them along!</p> <p>Please only RSVP if you can come!</p> <p>Looking forward to meeting you!<br/>R-Ladies Frankfurt</p>
<p>Dear all,</p> <p>We’re happy to invite you to the fourth meetup of R-Ladies Frankfurt group on 11th July (Thursday).</p> <p>This is going to be a different session! After we explored the tidyverse packages for wrangling and visualizing data in the past meetups, now it is time to put our tools into action! In this event, we’re going to explore a new dataset by cleaning it and visualizing key information to tell a meaningful story out of our data. You can work in small groups or individually according to your preference.</p> <p>You’re welcome no matter if you are a complete newbie to R, intermediate or professional R-user, and also if you have never heard about tidyverse packages.</p> <p>Afterwards, we’ll share what we achieved, our difficulties, and how we went through them.</p> <p>Location:<br/>codecentric AG<br/>Kreuznacher Straße 30<br/>60486 Frankfurt am Main</p> <p>SPECIAL THANKS to codecentric for hosting our event!</p> <p>What to bring?<br/>(1) laptop with<br/>(2) pre-installed R &amp; RStudio (<a href="https://www.rstudio.com/products/rstudio/" class="linkified">https://www.rstudio.com/products/rstudio/</a>)*<br/>(3) pre-installed tidyverse (<a href="https://www.tidyverse.org/" class="linkified">https://www.tidyverse.org/</a>)*<br/>(4) motivation to meet people, and have fun to create an active R community for women!<br/>*If you’re having issues with installation and set-up, don’t worry! We’re all here to help :)</p> <p>If you have any suggestions/questions, please feel free to get in touch: [masked]</p> <p>Also, follow R-Ladies Frankfurt on twitter: @RLadiesFRA (<a href="https://twitter.com/RLadiesFRA" class="linkified">https://twitter.com/RLadiesFRA</a>) and stay tuned for R and R-Ladies related tweets!</p> <p>Know other people interested in R? Bring them along!<br/>Please only RSVP if you can come!</p> <p>Looking forward to seeing you!<br/>R-Ladies Frankfurt</p>
<p>Dear all,</p> <p>We’re happy to invite you to the fifth meetup of R-Ladies Frankfurt group on 8th August (Thursday).</p> <p>Last time we did the data wrangling and now we are ready to visualize our data with ggplot2, one of the core packages of the tidyverse. Let's use graphs to explore our artifical dataset and to gain information about which factors might be correlated with treatment success.<br/>Don't worry if you missed the last session: We provide you with the data set and some exemplary code for cleaning it.</p> <p>You’re welcome no matter if you are a complete newbie to R, intermediate or professional R-user, and also if you have never heard about tidyverse packages.</p> <p>Afterwards, we’ll share what we achieved, our difficulties, and how we went through them.</p> <p>Location:<br/>codecentric AG<br/>Kreuznacher Straße 30<br/>60486 Frankfurt am Main</p> <p>SPECIAL THANKS to codecentric for hosting our event!</p> <p>What to bring?<br/>(1) laptop with<br/>(2) pre-installed R &amp; RStudio (<a href="https://www.rstudio.com/products/rstudio/" class="linkified">https://www.rstudio.com/products/rstudio/</a>)*<br/>(3) pre-installed tidyverse (<a href="https://www.tidyverse.org/" class="linkified">https://www.tidyverse.org/</a>)*<br/>(4) motivation to meet people, and have fun to create an active R community for women!<br/>*If you’re having issues with installation and set-up, don’t worry! We’re all here to help :)</p> <p>If you have any suggestions/questions, please feel free to get in touch: [masked]</p> <p>Also, follow R-Ladies Frankfurt on twitter: @RLadiesFRA (<a href="https://twitter.com/RLadiesFRA" class="linkified">https://twitter.com/RLadiesFRA</a>) and stay tuned for R and R-Ladies related tweets!</p> <p>Know other people interested in R? Bring them along!<br/>Please only RSVP if you can come!</p> <p>Looking forward to seeing you!<br/>R-Ladies Frankfurt</p>
<p>Dear all,</p> <p>We’re happy to invite you to the seventh meetup of R-Ladies Frankfurt group on 28th November (Thursday).</p> <p>In this meetup, we’re going to have a tutorial about regression models using R. We’ll explore popular packages available to model and visualize linear regressions in R.</p> <p>Lara Vivian will guide us throughout this session. Lara has a PhD in Applied Economics.</p> <p>Location:<br/>codecentric AG<br/>Kreuznacher Straße 30<br/>60486 Frankfurt am Main</p> <p>SPECIAL THANKS to codecentric for hosting our event!</p> <p>What to bring?<br/>(1) laptop with<br/>(2) pre-installed R &amp; RStudio (<a href="https://www.rstudio.com/products/rstudio/" class="linkified">https://www.rstudio.com/products/rstudio/</a>)*<br/>(3) motivation to meet people, and have fun to create an active R community for women!<br/>*If you’re having issues with installation and set-up, don’t worry! We’re all here to help :)</p> <p>You’re welcome no matter if you are a complete newbie to R, intermediate or professional R-user.</p> <p>If you have any suggestions/questions, please feel free to get in touch: [masked]</p> <p>Also, follow R-Ladies Frankfurt on twitter: @RLadiesFRA (<a href="https://twitter.com/RLadiesFRA" class="linkified">https://twitter.com/RLadiesFRA</a>) and stay tuned for R and R-Ladies related tweets!</p> <p>Know other people interested in R? Bring them along!</p> <p>Please only RSVP if you can come!</p> <p>Looking forward to seeing you!<br/>R-Ladies Frankfurt</p>
<p>Dear all,</p> <p>We’re happy to invite you to the eighth meetup of R-Ladies Frankfurt group on 12th December (Thursday).</p> <p>In this meetup, we’re going to discuss our favourite R tricks, functions and packages in a relaxed Christmas atmosphere.</p> <p>Location:<br/>36 Grad<br/>Oppenheimer Landstraße 36<br/>60596 Frankfurt am Main</p> <p>What to bring? (optional for this session)<br/>(1) laptop with<br/>(2) pre-installed R &amp; RStudio (<a href="https://www.rstudio.com/products/rstudio/" class="linkified">https://www.rstudio.com/products/rstudio/</a>)*<br/>(3) motivation to meet people, and have fun to create an active R community for women!<br/>*If you’re having issues with installation and set-up, don’t worry! We’re all here to help :)</p> <p>You’re welcome no matter if you are a complete newbie to R, intermediate or professional R-user.</p> <p>If you have any suggestions/questions, please feel free to get in touch: [masked]</p> <p>Also, follow R-Ladies Frankfurt on twitter: @RLadiesFRA (<a href="https://twitter.com/RLadiesFRA" class="linkified">https://twitter.com/RLadiesFRA</a>) and stay tuned for R and R-Ladies related tweets!</p> <p>Know other people interested in R? Bring them along!</p> <p>Please only RSVP if you can come!</p> <p>Looking forward to seeing you!<br/>R-Ladies Frankfurt</p>
<p>Looks like summer might arrive to Amsterdam next week, therefore we decided to celebrate it with a social in a park and enjoy the sun! We have organised a fair amount of workshops so far, but we would really like to get to know our group a bit better, collect some feedback about our events and simply have fun. This one will be all about networking :)</p> <p>We invite you to have a picnic in the sunny Vondelpark with us, please bring some snacks, drinks or whatever you fancy! We will probably have some blankets but depending on the amount of attendees it may be a good idea to bring your own as well. Most importantly, bring a good mood (!) and join us in Vondelpark (probably near Groot Melkhuis, so we can hide there in case of rain)! The exact location will be shared on the day of the meetup, but for easier navigation we created a Whatsapp group - for which we'll share the link a few days before. See you there!</p>
<p>When working on an R project, you constantly change your code. But how do you keep track of your changes? GitHub is a popular solution and can be used through the command line and a user- friendly User interface. During the workshop, you'll learn to<br/>1. Set up repositories and track changes to your code<br/>Here you will learn how to set up your first repository, add your code and commit your changes to the code.<br/>2. Branches and collaborative projects<br/>In this second part we'll dive into creating branches and a few basic show cases.</p> <p>In our next workshop you will learn how git works &amp; how it can make your life a lot easier! :) This workshop is brought to you by Sinziana Cristea.</p> <p>PROGRAM<br/>------------------<br/>[masked] Welcoming &amp; Pokebowls :)<br/>18.30- 18.50 Introduction to R-Ladies &amp; Xomnia<br/>18.50- 19.30- Workshop part 1<br/>19.30- 19.45 Break<br/>19.45- 20.30 Workshop part 2<br/>20.30- 21.30 Socialising</p> <p>ABOUT SINZIANA<br/>----------------------<br/><a href="https://www.linkedin.com/in/cristeas/" class="linkified">https://www.linkedin.com/in/cristeas/</a><br/>I am a pharmacist pursuing my PhD at Leiden University at the department of Systems Biomedicine &amp; Pharmacology focusing on the development of non-linear mixed effects models that describe drug disposition and can be used for optimised dosing in children.</p> <p>CODE OF CONDUCT<br/>----------------------------<br/>We expect all attendees to abide by our Code of Conduct. Anyone who violates this community's Code of Conduct will be refused entry, expelled, and/or any other action deemed appropriate by the Organizer, regardless of event registration, meetup membership or other condition. We are emphatically queer and trans-friendly. This group was created so those who identify as women have a comfortable place to learn.</p>
<p>We are partnering with She's coding and the WiT Regatta fo this event. A brief description is provided here- more information about the event can be found at: <a href="https://www.meetup.com/shescoding-amsterdam/events/265645848/?_xtd=gqFypzk5MTU4NTWhcKdhbmRyb2lk&amp;from=ref" class="linkified">https://www.meetup.com/shescoding-amsterdam/events/265645848/?_xtd=gqFypzk5MTU4NTWhcKdhbmRyb2lk&amp;from=ref</a><br/>___________________________________________________________________<br/>Do you have an idea for a project that you would love to work on - but not alone? Or are you on the lookout for a team that you can join and become creative with?</p> <p>Come and join us for the Code-a-thon in collaboration with She's coding and the WiT regatta - an event spanning two to three months functioning like a hack-a-thon, but giving you and your team the flexibility to build out the project in more depth with a schedule that works for you. You choose when you work and how much time you want to invest.</p> <p>November 2nd will be kick-off day! Bring your ideas or be open to listen to other people's pitches. We will facilitate the formation of teams around project ideas, and if needed, we can help provide ideas as well. At the end of the day you will want to be part of a team, have some initial planning done, and have some idea of additional skills and/or mentorship you need to build your project.</p> <p>To follow-up on the kick-off day, we will have one (optional) Saturday afternoon check-in day in December (date TBD), where we will all meet together, work on our projects, and get help from mentors if wanted/needed. Finally we will have a demo-day in January (date TBD), where your team can show off what it has built over the past two months - yay!</p> <p>* Tentative Schedule: *</p> <p>10:30 Registration opens<br/>10:50 Welcome &amp; Pitches start<br/>12:00 Lunch (Bring your own)<br/>13:00 Team building around project ideas<br/>15:45 Wrapping up</p>
<p>The amount of data in the world is growing exponentially and the opportunities of Artificial Intelligence (AI) are endless. But to create AI breakthroughs you need more than only complex algorithms. During this evening at MIcompany we will talk about the components of successful AI use cases that create tangible business value. We will give examples of successful real life AI use cases across different industries. And you will practice with a hands-on case that involves modelling but also all the other steps in the AI use case process. Do you want to find out if you have the skills to change organizations with AI?</p> <p>PROGRAM<br/>------------------<br/>17:30-18:00 Welcome &amp; food<br/>18:00-18:15 Introduction Rladies &amp; MIcompany<br/>18:15-18:45 Introduction to AI driven use cases<br/>18:45-20:15 Workshop<br/>20:15 Drinks</p> <p>ABOUT LAURA &amp; MIcompany<br/>----------------------<br/>Laura is a Principal Data Analytics in MIcompany. MIcompany is an Artificial Intelligence (AI) company with offices in Tel Aviv and Amsterdam. From these offices, they drive AI transformations by building AI solutions and skills. The team of more than 70 data scientists, AI engineers &amp; software engineers serves industry-leading companies such as Nike, eBay, Booking.com, Heineken, KPN, Lease Plan, Aegon and Shufersal. In more than 25 countries.</p> <p>CODE OF CONDUCT<br/>----------------------------<br/>We expect all attendees to abide by our Code of Conduct. Anyone who violates this community's Code of Conduct will be refused entry, expelled, and/or any other action deemed appropriate by the Organizer, regardless of event registration, meetup membership or other condition. We are emphatically queer and trans-friendly. This group was created so those who identify as women have a comfortable place to learn.</p>
<p>Please join us for our launch event!</p> <p>We will introduce R-Ladies Newcastle and its organisers for our first meeting, and ask for feedback from you about events you would like to attend. We will then visualise your responses at the meeting, and socialise afterwards, so we can start building our local community of R-Ladies. Pizza and drinks provided. ​We welcome all levels of R users.</p> <p>R-Ladies is an inclusive group that welcomes everyone identifying as women or marginalised genders.</p> <p>UPDATE: Please fill in our survey before the meetup if possible: <a href="https://forms.gle/y5UYg67ejczBfCJZA" class="linkified">https://forms.gle/y5UYg67ejczBfCJZA</a> If you can't attend the event, you can still fill in the survey. Thank you!</p> <p>UPDATE 2: Thanks to our sponsors Sage there will be pizza at the meetup!</p> <p>We look forward to meeting you!</p> <p>R-Ladies Newcastle Organising Team</p>
<p>This will be a tutorial session where you can improve your R skills! Please bring a laptop. We will prepare handouts for the meetup.</p> <p>For the first part of the session, we will start off with an introduction to R, since we have many beginners in the group. If you are an advanced user, it would be great if you could come along to the first part too, and share your knowledge. For the second part, we will do some more advanced plotting.</p> <p>There will be some pizza, as well as soft drinks.</p> <p>Timings:</p> <p>18:00 Meet and mingle<br/>18:15 Start first part - introduction to R<br/>19:00 Break<br/>19:15 Start second part - advanced plotting<br/>20:00 Optional pub visit</p> <p>Please have R and RStudio installed on your laptop. The tutorials can be found at github.com/rbolam/RLadiesNCL.</p>
<p>This will be a tutorial session where you can improve your R skills! Please bring a laptop. If you do not have a laptop, let us know because we have a few for people to borrow. This meetup will be suitable both for beginners and advanced R users.</p> <p>We will mainly work with the package ggplot2. For beginners, we will introduce the package and its functions, with exercises for you to practice. We will cover how to make different types of plots, how to make subplots, and how to fully customise your plots.</p> <p>For advanced users, we will look at some more specialised packages, to make ridge plots, use different themes, arrange all your plots nicely, and make chloropleth maps.</p> <p>Timings:<br/>18:00 Meet and mingle<br/>18:15 Introduction to ggplot2, additional packages, and where to find the resources<br/>18:45 Start tutorials<br/>20:00 Optional pub visit at the Earl of Pitt Street</p> <p>Please have R and RStudio installed on your laptop.</p> <p>We will use room 2.022 in the Urban Sciences Building.</p> <p>If you have any questions, comments or suggestions, you can email us at [masked]</p>
<p>August meetup – Summer Social</p> <p>We will be building on what we’ve learnt so far and getting to know each other better!</p> <p>This month’s meetup will be a chance for our members to build on the skills we worked on in the last meetup using Tidy Tuesday data. More advanced members are also encouraged to attend and show us what they can do with the data.</p> <p>For the second half of the meetup, we’ll be encouraging you to put your laptops away and get socialising! If so inclined members are welcome to Bring Your Own Bottle, we as organisers will for sure be kicking back with a glass of wine but feel free to bring the beverage of your choice for this part of the meetup. We’d love to hear about your journey with R (whether a newbie or an experienced user) and share experiences as minority genders in the programming space.</p> <p>Timings:<br/>18:00 - 20:00 Summer Social<br/>20:00 optional visit to Earl of Pitt Street</p> <p>We will be in room 2.022 in the Urban Sciences Building.</p> <p>Please arrive with R and R Studio installed on your laptop. If you would like to be loaned a laptop before the meetup, please get in touch with us in the comments below to request one. We’d appreciate being given at least a few days notice</p>
<p>September Meeting – Guest tutorial on linear mixed effects models (LMEMs)</p> <p>This month's meetup will feature a guest tutorial led by Bodo Winter (<a href="http://bodowinter.com/" class="linkified">http://bodowinter.com/</a>) on running Linear Mixed Effects Models in R. He is a lecturer in Linguistics at the University of Birmingham and an accomplished teacher of statistics and R known for his clear and accessible teaching style.</p> <p>In the first hour of the meetup, Bodo will lead his tutorial, which will be geared toward somewhat more advanced users of R who are interested in applying LMEMs to their data. However, we invite users at all levels to come follow along and ask questions. Don't be worried about it being too advanced -- this tutorial will be useful for people at all levels!</p> <p>In the second half, we will have pizza and we encourage you to Bring Your Own Bottle (of any sort of beverage you fancy) to enjoy or to share. This will be a time to talk through practical applications of LMEMs for your own work and ask questions of Bodo and the more advanced users. This will be a great opportunity for people comfortable with statistics to ask more advanced methodological questions *as well as* for people who are more new to LMEMs and R to consolidate the tutorial material.</p> <p>Timings:<br/>18:00 - 19:00 LMEM Tutorial<br/>19:00 - 20:00 Question and Answers and Pizza</p> <p>We will be in the Urban Sciences Building again (2.022) and the room will be accessible through the main entrance to the building.</p> <p>Please arrive with R and R Studio installed on your laptop. If you would like to be loaned a laptop before the meetup, please get in touch with us in the comments below to request one. We’d appreciate being given at least a few days notice.</p>
<p>We will be having a series of lightning talks from our R-Ladies community! We’d love to hear from as many of you as possible on how you’ve used R, no matter your level of experience.</p> <p>It should be an excellent chance to hear about the breadth of R use which is happening in Newcastle.</p> <p>There will be talks on:<br/>- Using R for eye tracking while reading<br/>- What is Bioinformatics?<br/>- Using factors in R<br/>- Working with satellite data to map forests &amp; forest quality<br/>- Topic modelling<br/>- Disentangling the drivers of predators on coral reefs<br/>- Modelling hierarchical data for children in schools for a language intervention study<br/>and more!</p> <p>As always, there will be pizza too! We will meet in room 4.005.</p> <p>If you have any questions, comments or suggestions, you can email us at [masked]</p>
<p>ENTRANCE IS VIA THE BACK DOOR<br/>Due to Purdur (restrictions placed on government employees in the run up to an election) our scheduled speakers are unable to give public talks.</p> <p>To stick with our theme of government data science we will instead be running a hands on workshop to investigate election data. We will work in teams to ensure that the workshop is suitable for all levels of R users so come along with a positive attitude and lets get stuck in to some data wrangling and data viz.</p> <p>Please bring laptops with you for this event. If you need access to a laptop please inform the organisers by Friday 08th of Nov.<br/>We will meet in room 2.022 in the Urban Sciences Building. There will be pizza and soft drinks!</p> <p>ENTRANCE IS VIA THE BACK DOOR</p>
<p>We’ll be having our final Meetup of the year to look back on all the great stuff that’s happened since we began back in May.</p> <p>Christmasy snacks and pizza will be on offer and your encouraged to bring your own bottle. We’d love to hear your feedback from this year so far, what you’d like to see next and what your R goals are for next year!</p> <p>If you’ve not made it to a meetup this year, then this will be a great opportunity to get to know the community we’ve built so far.</p> <p>Room 2.022- Entrance will be via the rear door</p>
<p>Speakers</p> <p>Naomi Ball (@NaomiJBall)</p> <p>Naomi Ball is a mathematician and operational research professional in the Civil Service. She’s a fan of reproducible workflows, data visualisation and storytelling with data.</p> <p>Talk synopsis:<br/>Shiny Appy People - build your first interactive dashboard<br/>Taking you through all the code needed to build a simple app to explore your data using R Shiny.</p> <p>Nic Fox (@NicFoxDS)</p> <p>Nic Fox is a Business Analyst in the midst of a career change to become a Data Scientist. She loves exploring data and creating visualisations to find and share interesting insights.</p> <p>Talk synopsis:<br/>Just Do It - How learning R by analysing a real data set that interested me taught me more than I intended to learn. I’ll talk about how I used R, R Markdown, HTML, CSS and GitHub together to analyse the data and share the insights I found.</p> <p>This event is supported by Co-op Foundation and The Federation, in partnership with Luminate.</p> <p>R-Ladies Code of Conduct - <a href="https://rladies.org/code-of-conduct/" class="linkified">https://rladies.org/code-of-conduct/</a></p>
<p>R-Ladies Manchester at Thoughtworks</p> <p>Keep your eye on this event and follow @rladiesmcr on twitter for updates and announcements!</p> <p>Speaker</p> <p>Phrances Perez (@AyveePhrances)<br/>Talk synopsis: Phrances will talk about her learnings in R, particularly reactive and dynamic filters in Shiny, as well as some tips on version control and best practises</p> <p>Discussion - Post your questions on our twitter page! We want an exciting and lively discussion on whatever you think it means to be an R-Lady! At the previous two events we have got so carried away chatting that we've decided to dedicate a whole hour to it this time.</p> <p>Introducing Hacktoberfest! How to get involved in an exciting month of Open Source events (and get a cool free t-shirt too!)</p> <p>R-Ladies Code of Conduct - <a href="https://rladies.org/code-of-conduct/" class="linkified">https://rladies.org/code-of-conduct/</a></p>
<p>The last R-Ladies Manchester event of 2019. Join us at Code Computerlove for our Christmas Social!</p> <p>What a year it's been - let's get together one last time and celebrate our successes!</p> <p>Lightning talk spots on the night - get up and shout your successes from the rooftops (okay the front of the room, but still - we all deserve to be celebrated!)</p> <p>R quiz (with prizes!) and the usual yummy grub also happening!</p> <p>Follow us on twitter @rladiesmcr and check back here for updates nearer the time!</p> <p>Christmas jumpers, Santa hats and reindeer antlers actively encouraged.</p>
<p>This is a beginner friendly session. We'll be working through Chapter 12 of the R for Data Science book. This is available freely online at <a href="http://r4ds.had.co.nz" class="linkified">http://r4ds.had.co.nz</a> . There will be a short presentation and then we'll work through some exercises together. This will involve learning about the functions: (spread(), gather(), separate(), unite(), inner_join()).</p> <p>Afterwards, we will try these out on our own data. So please, if you can, bring along some of your own data. You could be working on this data at the moment, or it could be something you have used in the past. If you don't have any data, this would be a good learning opportunity to try and find some open source data from the internet.</p> <p>This will be an interactive session so please bring your laptop. Ideally this should have R and RStudio installed. If you have trouble downloading these, you can use <a href="https://rstudio.cloud/" class="linkified">https://rstudio.cloud/</a>. You will also need the tidyverse R package. You might want to install this before coming along to the session. You can do this by running install.packages("tidyverse") in R.</p> <p>We are in Lancaster University Library - Room C135 and the session will run from 6pm - 8pm with a short break in the middle. Snacks and soft drinks will be provided.</p>
<p>This is a beginner friendly session. We'll be working through Chapter 14 of the R for Data Science book, which deals with manipulating strings (text). This is available freely online at <a href="http://r4ds.had.co.nz" class="linkified">http://r4ds.had.co.nz</a> . There will be a short presentation and then we'll work through some exercises together.</p> <p>Afterwards, we will try these out on our own data. So please, if you can, bring along some of your own data. You could be working on this data at the moment, or it could be something you have used in the past. If you don't have any data, this would be a good learning opportunity to try and find some open source data from the internet.</p> <p>This will be an interactive session so please bring your laptop. Ideally this should have R and RStudio installed. If you have trouble downloading these, you can use <a href="https://rstudio.cloud/" class="linkified">https://rstudio.cloud/</a>. You will also need the stringr R package. You might want to install this before coming along to the session. You can do this by running install.packages("stringr") in R.</p> <p>We will be in Lancaster University Library - Room C130. The session will run from 6pm - 8pm with a short break in the middle. Snacks and soft drinks will be provided.</p>
<p>This is a beginner friendly session. We'll be working through Chapter 16 of the R for Data Science book, which deals with manipulating dates and times. This is available freely online at <a href="http://r4ds.had.co.nz" class="linkified">http://r4ds.had.co.nz</a> . There will be a short presentation and then we'll work through some exercises together.</p> <p>Afterwards, we will try these out on our own data. So please, if you can, bring along some of your own data. You could be working on this data at the moment, or it could be something you have used in the past. If you don't have any data, this would be a good learning opportunity to try and find some open source data from the internet.</p> <p>This will be an interactive session so please bring your laptop. Ideally this should have R and RStudio installed. If you have trouble downloading these, you can use <a href="https://rstudio.cloud/" class="linkified">https://rstudio.cloud/</a>. You will also need the lubridate R package. You might want to install this before coming along to the session. You can do this by running install.packages("lubridate") in R.</p> <p>We will be in Lancaster University Library - Room C135. The session will run from 6pm - 8pm with a short break in the middle. Snacks and soft drinks will be provided.</p>
<p>For the hackathon we will be provided with a dataset collected by language researchers at the University of Michigan, Rochester Institute of Technology, and UC Santa Barbara. A survey was administered to present and past language researchers to understand the patterns of harassment and bias in linguistics and work toward evidence-based solutions. Results come from over 1,400 respondents. This survey builds on existing models from the self-inquiries conducted in other fields (Clancy et al. 2017); in addition, they give space for affected individuals to detail their experiences and provide solutions.</p> <p>In this meeting we will dig into the data and end by sharing our results with the original researchers of the project. Data can be found on R-Ladies San Diego GitHub (<a href="https://github.com/rladies-san-diego/2019-01-24_harassment_bias_hackathon" class="linkified">https://github.com/rladies-san-diego/2019-01-24_harassment_bias_hackathon</a>).</p>
<p>To celebrate this Valentine's Day let's play with sentiment analysis in R. We’ll use romantic songs or novels to see if we can identify all the different shapes of love.<br/>We will cover the following topics on sentiment analysis:<br/>- how to import text data into R and transform it into tidy data,<br/>- explore sentiment lexicons available in R and determine the most applicable,<br/>- create sentiment datasets by combining the lexicons with your text data,<br/>- identify the overall mood of the text,<br/>- makes some cool plots!</p>
<p>At this meeting Page Piccinini will talk about her journey to becoming a data scientist, including advice for aspiring data scientists or those transitioning from academia to industry.</p>
<p>Hey R-Ladies!</p> <p>SatRdays are a locally organized, low cost, R conferences. They happen all over the world and we have one coming to LA on April 6th! Even more, Erin LeDell, of R-Ladies Global, is keynoting so there is some special R-Ladies flare in this one.</p> <p>Reg is $35 ($15 for students!) and the agenda is AWESOME. Lots of data science, but also making packages, Shiny, and more.</p> <p>Here's how to register + the agenda: <a href="https://losangeles2019.satrdays.org/" class="linkified">https://losangeles2019.satrdays.org/</a></p> <p>Happy to carpool and we'll organize logistics once we get a feel for who is joining us. It'd be an early morning, but we can get coffee. Looking to depart San Diego by 6am.</p>
<p>Katie Heineman will give us an introductory walk through of Shiny apps:</p> <p>Shiny is a web development platform developed through R Studio that allows R users to make interactive interfaces for datasets manipulation and visualization.<br/>You can learn more about Shiny here: <a href="https://shiny.rstudio.com/" class="linkified">https://shiny.rstudio.com/</a>. Also, see some amazing examples of what you could create using Shiny here: <a href="https://shiny.rstudio.com/gallery/" class="linkified">https://shiny.rstudio.com/gallery/</a></p> <p>Don't miss this awesome tutorial with Katie.</p> <p>Before coming please do the following:</p> <p>1) Install R Studio ( <a href="https://www.rstudio.com/" class="linkified">https://www.rstudio.com/</a> ).<br/>2) Install the 'shiny' package<br/>3) Optional: Sign up for a *free* Shiny.io account so you can practice deploying a shareable webapp: <a href="http://www.shinyapps.io/" class="linkified">http://www.shinyapps.io/</a></p> <p>Come for R, Shiny, and snacks!</p>
<p>Hey everyone,</p> <p>This is a very promising meet up where Amy will tell us more about how to connect directly to a database from within R!<br/>Being able to work with databases is a major requirement for anyone that wants to work with large amounts of data. This is also a major skill data scientist and data analysts at all levels need to develop.<br/>So don't miss this opportunity and join us to learn more from Amy.</p> <p>We're looking forward to seeing you there!</p> <p>Your R-Ladies organizers</p> <p>UPDATE: Here is some more info from Amy on how we can get a head start before the meeting. Please read the information below and try to install the necessary software / packages ahead of time. Thanks!</p> <p>R packages:<br/>stringr<br/>DBI<br/>RSQLite</p> <p>Database software installed on the laptop:<br/>SQLite<br/>This software is sometimes called SQLite and sometimes called SQLite3. For the sake of this demo, the difference does not matter at all.</p> <p>SQLite on a Mac:<br/>Your computer might have come with SQLite installed. Open up a Terminal window and type:<br/>which sqlite3<br/>If you see something like /usr/bin/sqlite3, then you are all set. If it doesn’t say anything, then see the Homebrew instructions below.</p> <p>If you do not have SQLite, you can install it with Homebrew:<br/>Point your web browser at: brew.sh<br/>Follow the directions for installing Homebrew<br/>At the command line, type: brew install sqlite<br/>If that fails, try: brew install sqlite3</p> <p>Also, the files for the tutorial are now available on GitHub at <a href="https://github.com/rladies-san-diego/2019_06_27_Amy_databases" class="linkified">https://github.com/rladies-san-diego/2019_06_27_Amy_databases</a></p> <p>Thanks!</p> <p>PS: We are meeting at the Salk Institute this month. The plan is to meet at the main gate at 6:30pm so we can go in together. If you arrive late, please let me know in the comments as the doors will be locked and I'll have to let you in. Thanks!</p>
<p>POSTPONED<br/>STAY TUNED FOR NEW DATE</p> <p>This will be a really fun tutorial by Viola!</p> <p>She will teach how to use R to create awesome artwork and along the way we'll learn about adapting tutorials to get off the ground quick with R, functions, and loops.</p> <p>All you need is your favorite picture with your favorite text (music, poem, etc) and let the magic begin. Don't have time to prep those ahead of time? No worries-- we'll set aside time during the meeting to find good pics and words (see my example w/ Kathleen Hannah and the lyrics to Nanny Nanny Boo Boo).</p> <p>Hope to see you all there!</p>
<p>*** UPDATES 11SEP2019 ***<br/>Hello R-Ladies,</p> <p>To help us better prepare for September's Meetup, please take a few moments to answer our questionnaire.</p> <p><a href="https://docs.google.com/forms/d/e/1FAIpQLSchVbTLm5IMj-3ocIR2GYXU3Vxl0LiiBHgiQS_VvhChAiytZQ/viewform" class="linkified">https://docs.google.com/forms/d/e/1FAIpQLSchVbTLm5IMj-3ocIR2GYXU3Vxl0LiiBHgiQS_VvhChAiytZQ/viewform</a></p> <p>Please note that the venue location has changed:<br/>Hera Hub Mission Valley<br/>8885 Rio San Diego Dr, Unit 237<br/>San Diego, CA 92108</p> <p>Thank you,</p> <p>Elke</p> <p>*** ***</p> <p>Hey everyone,</p> <p>Let's join Elke as she presents an amazing tutorial on how to get started with R.<br/>If you consider yourself a beginner, this is your chance to hit the ground running.<br/>If you already have experience using R, please come anyway! We'd love to have more experienced users to help out the beginners as we progress through the tutorial.</p> <p>More information coming soon.</p> <p>See you then!</p> <p>WHAT DO YOU NEED?</p> <p>Please bring your laptop to follow along with the tutorial. I recommend downloading R (<a href="http://www.r-project.org/" class="linkified">http://www.r-project.org/</a>) then R Studio (<a href="https://www.rstudio.com/products/rstudio/#Desktop" class="linkified">https://www.rstudio.com/products/rstudio/#Desktop</a>) onto your laptop. They are both free and there are lot's of videos and tutorials out there to help you through the process. Thanks!</p>
<p>Let's learn more about R by exploring some of the packages in the tidyverse.</p> <p>According to RStudio, "The tidyverse is an opinionated collection of R packages designed for data science. All packages share an underlying design philosophy, grammar, and data structures". It's also an amazing way to quickly and easily get started with R.</p> <p>Join us in a journey through some of the tidyverse as we learn how to import, manipulate and plot data.</p> <p>This meetup will be suitable for beginners and those that have never used R. However, I'd like to also ask those that are already proficient to attend. We can always use your help during the tutorials!</p> <p>We are looking forward to seeing you all there!</p> <p>Things to do ahead of time:</p> <p>- Download and install R (<a href="https://cran.cnr.berkeley.edu/" class="linkified">https://cran.cnr.berkeley.edu/</a>)<br/>- Download and install RStudio (<a href="https://rstudio.com/products/rstudio/download/" class="linkified">https://rstudio.com/products/rstudio/download/</a>)<br/>- Install the tidyverse package (install.packages("tidyverse"))</p> <p>Also, please download the files from <a href="https://github.com/rladies-san-diego/2019-10-10_tidyverse-tutorial" class="linkified">https://github.com/rladies-san-diego/2019-10-10_tidyverse-tutorial</a></p> <p>We are meeting at UCSD's biomedical library building, rooms[masked] at 6:30pm on October 10th.</p>
<p>This will be a really fun tutorial by Viola!</p> <p>She will teach how to use R to create awesome artwork and along the way we'll learn about adapting tutorials to get off the ground quick with R, functions, and loops.</p> <p>All you need is your favorite picture with your favorite text (music, poem, etc) and let the magic begin. Don't have time to prep those ahead of time? No worries-- we'll set aside time during the meeting to find good pics and words (see my example w/ Kathleen Hannah and the lyrics to Nanny Nanny Boo Boo).</p> <p>Hope to see you all there!</p>
<p>Hey everyone,</p> <p>Join us to learn the basics of using git for version control. We'll also explore how to use GitHub to create online repositories of your code and how you can interface with git and GitHub directly from within RStudio in super easy steps.</p> <p>If you can, please create a GitHub account ahead of time (github.com). Also, if you don't have R and RStudio installed you can follow the steps outlined here to get started (<a href="https://github.com/rladies-san-diego/2019-10-10_tidyverse-tutorial/blob/master/Quick%20intro.pdf" class="linkified">https://github.com/rladies-san-diego/2019-10-10_tidyverse-tutorial/blob/master/Quick%20intro.pdf</a>).</p> <p>We're looking forward to seeing everyone!</p>
<p>Please join us as our speaker, Alta de Waal, takes us through "Topic Modelling and Natural Language Processing".</p>
<p>Helen Robertson will be giving a talk about the increasingly important topic of ethics in data science.</p>
<p>An informal meetup to have lunch together during the satRday conference. The two keynote speakers, Danielle Navarro and Omayma Said, will also be joining us.</p> <p>*Please note this meetup is only open to those attending satRday.</p>
<p>Please join us as Dr Inger Fabris-Rotelli takes us through an introduction to spatial statistics and analysis.</p> <p>If you'd like to follow along during the session, please bring along your laptop, with RStudio and the following packages installed:<br/>- knitr<br/>- spatstat<br/>- raster<br/>- gstat<br/>- sp</p>
<p>Data science projects can go wrong in a million ways. To get it done well, you need to manage the expectations from day 0. How do you do this?</p> <p>This talk by Merelda Wu distills the art form of "talking to business" to a list of non-scientific formulas that can be applied in your everyday life.<br/>If any of the following resonates with you, join us:</p> <p>1. The magic wand problem? Data doesn’t just give you “actionable insight”, you need to ask the right question.<br/>2. Misaligned expectations? The classic case of what you say you want, is not what you really, really want.<br/>3. The scope creep problem? Sure, of course I can re-write everything and give it to you five minutes ago.<br/>4. The big data problem? No darling, you don’t have big data if it fits in Excel.<br/>5. The confidence challenge? No, there’s no such thing as 100% accurate, also we use this thing called the F1 score.<br/>6. The cloud challenge? Yes cloud would be great, but your data's gotta be there first though.</p> <p>This talk shares some common problems faced in most data science projects. Some heart-aching stories will be shared, as well as some great tools and tips that will help you speak to your business logically, with tons of visual aid and zero mathematical equations.</p>
<p>It's been a wonderful year of #rstats for RLadies Jozi :).<br/>Please join us for a session on Shiny. Raeesa Manjoo-Docrat will be showing us how to make a simple web app using Shiny (<a href="https://shiny.rstudio.com/" class="linkified">https://shiny.rstudio.com/</a>)!<br/>It'll be an interactive session so please bring along your laptop.</p> <p>Please download the shiny package for the session. See y’all soon!</p>
<p>Please join us as Dr Tetyana Loskutova takes us through some NLP in Python using spaCy. There is an R wrapper for spaCy (<a href="https://github.com/quanteda/spacyr" class="linkified">https://github.com/quanteda/spacyr</a>) so the knowledge gained can be used in either Python or R :).</p> <p>Want to prep? Ines Montani, one of the developers of spaCy has a free online course using spaCy in Python here: <a href="https://course.spacy.io/" class="linkified">https://course.spacy.io/</a></p>
<p>Hi everyone,</p> <p>Given the long weekend this month, our September meetup will be on the 1st October :), since we're set to have the normal October meetup later in October.</p> <p>The session will be interactive so please bring along your laptop, and please install the ffg. packages to follow along:<br/>1. roxygen2<br/>2. usethis<br/>3. devtools<br/>4. testthat</p> <p>Please also bring along a small piece of code with one or two functions in it - we will use this as the base for the package.</p> <p>If you don't yet have a GitHub account please consider signing up for one, as we'll integrate the package build with Git, to understand the workflow.</p> <p>Hope to see you there!</p>
<p>Please join us for an insightful session on Survival Analysis in R.</p> <p>Dr Justine Nasejje from Wits will give us an overview of some basic concepts and will also share how she's used R in her research journey.</p> <p>Look forward to seeing everyone there!</p> <p>It will be an interactive session so please bring your laptop and install the following packages:</p> <p>MASS<br/>survival<br/>survminer<br/>ggplot2<br/>randomForestSRC<br/>devtools</p>
<p>Text data is increasingly important in many domains, and tidy data principles and tidy tools can make text mining easier and more effective.</p> <p>In this talk by Julia Silge, who will be joining us remotely, learn how to manipulate, summarize, and visualize the characteristics of text using these methods and R packages from the tidy tool ecosystem. These tools are highly effective for many analytical questions and allow analysts to integrate natural language processing into effective workflows already in wide use. Explore how to implement approaches such as measuring tf-idf, topic modeling, and building classification models.</p>
<p>Join us for more #Tidyverse basics.</p>
<p>Vectors and Purrr! Sorry for posting this so late!</p>
<p>Bring your laptop. Stay for the code.</p>
<p>Learn the basics of R Markdown, and how it can make your life a little easier.</p>
<p>Heidi B. Teaches you the best of Blogdown.</p>
<p>Jordan C. from Tampa R Users Group is making a guest appearance.</p>
<p>Heidi B. will teach Blogdown basics.</p>
<p>This even begins at 10AM, Sorry for any inconvenience!</p>
<p>Gina will teach us about making infographics. Hopefully, in an uncomplicated way, with the minimum of tools. :)</p>
<p>Bring your favorite food, and talk about R. This is a good time to drop in and have a conversation to see if learning R is right for you. Plus, coffeecake.</p>
<p>NOTE: the talk "Collecting Twitter data with R" with Elise Tancoigne has unfortunately to be postponed.</p> <p>Instead, we have pre-selected five conference talks from useR, ERUM and RStudioConf and will let you pick your two favorites.</p> <p>SCHEDULE<br/>12:00 - 12:15: Arrival<br/>12:15 ~ 13:15: Conference talk screening &amp; discussion<br/>13:15 - 14:00: Tea &amp; Coffee</p>
<p>• Title of the talk •<br/>Using R to assess Eye-tracking data when investigating Psychological Processes</p> <p>• Speaker •<br/>Suzannah Stuijfzand ( <a href="https://twitter.com/stuijfzandsooz" class="linkified">https://twitter.com/stuijfzandsooz</a> )</p> <p>• Schedule •<br/>18h00 Arrival<br/>18h15 Presentation<br/>19h30 - 20h30 Apéro + networking</p> <p>• Who is Suzannah Stuijfzand •<br/>I am a research psychologist currently working as a post doc within the Lausanne Perinatal Research group led by Prof. Antje Horsch. The group investigates perinatal mental health, specifically we investigate the impact of stress and trauma in the perinatal period (the time before, during and after birth) on mothers and their families.<br/>My background is firmly routine in developmental psychology. My research masters in development and socialization in childhood and adolescence and my PhD was on Cognitive processes and their association to Anxiety in young children. My career so far has led me from the UK to the Netherlands for my masters, back to the UK for my PhD and finally my post-doc has brought me here to Lausanne.<br/>My research has necessitated an interest in diverse methodologies in an attempt to overcome the limitations in standard measures (i.e. reaction times) when studying children. I have also has to become accustomed to longitudinal data in order to study development. It is through these elements of my research that have brought me into contact with R in an attempt to make the best use of my data to answer my research questions.</p>
<p>In this presentation Elise will show what packages are available in R to collect data on Twitter, along with their main functions. Elise will also discuss the advantages and limits of this kind of data for social sciences.</p> <p>Elise Tancoigne is a post-doctoral fellow at the University of Geneva, where she studies the sociology and history of science volunteering ("citizen sciences"). She likes to experiment with, and also criticize, digital humanities methods.</p> <p>More about Elise: <a href="http://citizensciences.net/elise-tancoigne/" class="linkified">http://citizensciences.net/elise-tancoigne/</a></p> <p>LOCATION<br/>Salle 120 - Lipari<br/>Rue du Bugnon 27</p> <p>SCHEDULE<br/>11:45 - 12:00: Arrival<br/>12:00 ~ 12:45: Presentation<br/>12:45 - 13:15: Tea &amp; Coffee</p> <p>As this is a lunchtime meet-up, please feel free to bring your food and enjoy it during the talk!</p>
<p>• Description •<br/>This talk will be about the infer package which aim is both to perform statistical inference using a syntax coherent with the tidyverse framework and to make the common logic behind statistical inference more apparent and intuitive.</p> <p>• Speaker •<br/>Elise Dupuis Lozeron</p> <p>• Agenda •<br/>18h00 Arrival<br/>18h15 Presentation<br/>19h15 Apéro</p> <p>• Elise Dupuis Lozeron •</p> <p>Statistician, Division of Clinical Epidemiology and Methodological Support Unit, Clinical Research Center (CRC), University Hospitals of Geneva and University of Geneva, Geneva (CH).<br/>Elise Dupuis Lozeron has a PhD in statistics from the University of Geneva. Before joining her current position she has worked for 5 years as a statistician for the Swiss study on Air Pollution And Lung Disease in Adults (SAPALDIA) and for the Department of Adult Intensive Care Medicine, University Hospital of Lausanne (CHUV). Her own research is related to the statistical estimation of complex models using simulation based bias-correction methods.</p>
<p>*What we'll do*<br/>ThundeR talks are R talks of 10-20 minutes by several people on their favourite topic in R.</p> <p>*Speakers*<br/>1. Jenny Sjaarda (@jenny_sjaarda) - 'Parallelize R code on a Slurm cluster'<br/>2. Liza Darrous (@LizaMGD) - 'Plotting on a bad day'<br/>3. Ninon Mounier (@Nin0nM) - 'workflowr: what's that all about?'</p> <p>Interested in sharing your expeRience?<br/>Get in touch with us, we are always looking for speakers! ThundeR talks are ideal to discuss the use of a specific function, talk about a package you like, explain how you create a particular type of figure, introduce a book, present some of your recent work using R ...</p> <p>*Prerequisite*<br/>Basic knowledge in R, beginners are welcome!</p> <p>*Schedule*<br/>18:15 - 18:30 Arrival<br/>18:30 - 19:30 ThundeR talks<br/>19h30 Apero (outside if the weather allows)</p>
<p>• Description •<br/>The tidyverse is a coherent system of packages for data manipulation, exploration and visualization that share a common design philosophy.<br/>There are core tidyverse packages that you're likely to use in everyday data analyses, and these include:<br/>- ggplot2<br/>- dplyr<br/>- tidyr<br/>- readr<br/>- purrr<br/>- tibble<br/>- stringr<br/>- forecats<br/>We'll be learning a bit about each of these core packages while demonstrating their functionalities!</p> <p>• Speaker •<br/>Mine Çetinkaya-Rundel<br/>Mine is a Senior Lecturer in the School of Mathematics at University of Edinburgh and Data Scientist and Professional Educator at RStudio. Mine’s work focuses on innovation in statistics and data science pedagogy, with an emphasis on computing, reproducible research, student-centered learning, and open-source education as well as pedagogical approaches for enhancing retention of women and under-represented minorities in STEM. Mine works on integrating computation into the undergraduate statistics curriculum, using reproducible research methodologies and analysis of real and complex datasets. She is a former R-Ladies RTP and a current R-Ladies Edinburgh organizer.</p> <p>• Agenda •<br/>18h15 - 18h30 Arrival (+ bring any questions/problems you might have)<br/>18h30 Presentation<br/>19h30 Apéro + Networking</p> <p>• Prerequisite •<br/>Basic knowledge in R, beginners are welcome!</p>
<p>¡El primer evento de R-Ladies Bilbao ya está aquí! Sera el día 27 de junio a las 18:00 en el BCAM (Alameda de Mazarredo, 14, Bilbao).</p> <p>Nos presentaremos y hablaremos sobre:<br/>- El proyecto R-Ladies<br/>- La necesidad de este tipo de iniciativas<br/>- R y sus potencialidades<br/>- También queremos conoceros y saber como os gustaría ir creando esta comunidad.</p> <p>¡Si conocéis a más gente que pueda estar interesada no dudéis en difundirlo! ¡Os esperamos! 😊</p> <p>*Si aún no lo has hecho, puedes rellenar la encuesta (<a href="https://docs.google.com/forms/d/e/1FAIpQLSeheFrKIAA3iH51f05mN6IjRoUcU1zcM2MhnXlfpBPdZvsCtA/viewform" class="linkified">https://docs.google.com/forms/d/e/1FAIpQLSeheFrKIAA3iH51f05mN6IjRoUcU1zcM2MhnXlfpBPdZvsCtA/viewform</a>)<br/>que hemos preparado para recoger vuestros intereses y preferencias.</p> <p>----</p> <p>R-Ladies Bilbo lehen topaketa hemen da! Ekainaren 27an izango da, 18:00etan BCAM en (Mazarredo Zumarkalea 14, Bilbo).</p> <p>Gure burua aurkeztu eta honako gaiei buruz hitz egingo dugu:<br/>- R-Ladies proiektua<br/>- Horrelako taldeen beharra<br/>- R eta honen gaitasunak<br/>- Zuen berri ere izan nahi dugu eta komunitatea nola eraiki nahi dugun pentsatu.</p> <p>Interesa izan dezakeen edonor ezagutu ezkero birbidali zalantzarik gabe! Laster arte! 😊</p> <p>*Oraindik ez baduzu egin, prestatu dugun inkesta (<a href="https://docs.google.com/forms/d/e/1FAIpQLSfd2R1yG4bpJKUHH_8skFLM6D4oELRp0vrc76BEF-KmrYperw/viewform" class="linkified">https://docs.google.com/forms/d/e/1FAIpQLSfd2R1yG4bpJKUHH_8skFLM6D4oELRp0vrc76BEF-KmrYperw/viewform</a>) bete dezakezu zuen interes eta lehentasunak jasotzeko.</p> <p>R-Ladies Bilbao</p> <p>[masked]<br/><a href="https://twitter.com/RLadiesBIO" class="linkified">https://twitter.com/RLadiesBIO</a></p>
<p>Kaixo R-Ladies!</p> <p>¡¡Estamos de vuelta!! Para este comienzo hemos preparado un taller acerca de la visualización de datos!!<br/>Será un taller práctico, en el que iremos descubriendo la gramática de ggplot2 para hacer gráficos.</p> <p>Detalles:<br/>Título: Visualización de datos, introducción a ggplot2<br/>Fecha: jueves, 19 de septiembre<br/>Hora: 18:00<br/>Lugar: Wikitoki, Plaza La Cantera, 5 - 2º, Bilbao</p> <p>Qué hay que traer:<br/>- Portátil<br/>- R instalado (<a href="https://cloud.r-project.org/" class="linkified">https://cloud.r-project.org/</a>)<br/>- RStudio instalado (<a href="https://www.rstudio.com/products/rstudio/download/" class="linkified">https://www.rstudio.com/products/rstudio/download/</a>)<br/>- ggplot2 o tidyverse instalado, preferentemente.</p> <p>Programa:</p> <p>1) Introducción a la visualización de datos<br/>1.1) Historia de la visualización de datos (Milestones tour)</p> <p>2) Introducción a ggplot2<br/>2.1) Qué es<br/>2.2) Un paquete dentro de Tidyverse<br/>2.3) Gramática de los gráficos ggplot2</p> <p>3) Elementos básicos en ggplot2<br/>3.1) Visualización de aesthetics<br/>3.2) Geometrías:<br/>- geom_point<br/>- geom_line<br/>- geom_bar<br/>- geom_boxplot<br/>- geom_histogram<br/>- geom_smooth<br/>3.3) Capas<br/>3.4) Facets<br/>3.5) Themes</p> <p>4) Aspectos avanzados de ggplot2<br/>4.1) Plotly<br/>4.2) Ejemplos de gráficos sofisticados</p> <p>¡Os esperamos el 19 de septiembre!</p> <p>El material del taller lo podéis encontrar en nuestro GitHub, aquí: <a href="https://github.com/RLadiesBIO/Presentaciones-Aurkezpenak/tree/master/2019-09-19_2Taller" class="linkified">https://github.com/RLadiesBIO/Presentaciones-Aurkezpenak/tree/master/2019-09-19_2Taller</a></p>
<p>Kaixo R-Ladies!</p> <p>¡Volvemos con otro taller! Esta vez vamos a aprender a crear paquetes de R con RStudio, de la mano de Natalia Vilor Tejedor.</p> <p>Detalles:<br/>Título: Desarrollo de paquetes de R con RStudio<br/>Fecha: Martes, 5 de noviembre<br/>Hora: 18:00<br/>Lugar: Wikitoki, Plaza La Cantera, 5-2º, Bilbao</p> <p>Qué hay que traer:<br/>- Portátil<br/>- R instalado (<a href="https://cloud.r-project.org/" class="linkified">https://cloud.r-project.org/</a>)<br/>- RStudio instalado (<a href="https://rstudio.com/products/rstudio/download/" class="linkified">https://rstudio.com/products/rstudio/download/</a>)<br/>- Rtools instalado: <a href="http://cran.r-project.org/bin/windows/Rtools" class="linkified">http://cran.r-project.org/bin/windows/Rtools</a><br/>- Latex compiler (e.g. MIKTeX) instalado: <a href="http://miktex.org/download" class="linkified">http://miktex.org/download</a><br/>- El paquete devtools instalado: `library(devtools)`</p> <p>Sobre Natalia Vilor Tejedor (@natvilortejedor):</p> <p>Natalia es investigadora postdoctoral en el Centro de Regulación Genómica y el BarcelonaBeta Brain Research Center de Barcelona, e investigadora externa en el Departamento de Clinical Genetics del Erasmus Medical Center en Rotterdam. Natalia es matemática de formación, tiene un máster en análisis de datos ómicos, y en 2018 se doctoró en el programa de Biomedicina de la Universidad Pompeu Fabra. Su investigación se centra en la integración de datos ómicos y de neuroimagen para estudiar los procesos de neurodesarrollo y neurodegeneración del cerebro. En sus ratos libres co-organiza los eventos de R-Ladies Barcelona (@RladiesBCN), y mucho más... ¡ven a conocerla!</p>
<p>Come join R-Ladies Ames and flex your R skills working on the weekly Tidy Tuesday dataset. This is a weekly event hosted by R for Data Science that emphasizes learning how to clean, tidy, and visualize data "from the wild". Bring your lunch and hack away with us! <a href="https://github.com/rfordatascience/tidytuesday" class="linkified">https://github.com/rfordatascience/tidytuesday</a></p>
<p>Come join R-Ladies Ames and flex your R skills working on the weekly Tidy Tuesday dataset. This is a weekly event hosted by R for Data Science that emphasizes learning how to clean, tidy, and visualize data "from the wild". Bring your lunch and hack away with us! <a href="https://github.com/rfordatascience/tidytuesday" class="linkified">https://github.com/rfordatascience/tidytuesday</a></p>
<p>Come join R-Ladies Ames and flex your R skills working on the weekly Tidy Tuesday dataset. This is a weekly event hosted by R for Data Science that emphasizes learning how to clean, tidy, and visualize data "from the wild". Bring your lunch and hack away with us! <a href="https://github.com/rfordatascience/tidytuesday" class="linkified">https://github.com/rfordatascience/tidytuesday</a></p>
<p>Come join R-Ladies Ames and flex your R skills working on the weekly Tidy Tuesday dataset. This is a weekly event hosted by R for Data Science that emphasizes learning how to clean, tidy, and visualize data "from the wild". Bring your lunch and hack away with us! <a href="https://github.com/rfordatascience/tidytuesday" class="linkified">https://github.com/rfordatascience/tidytuesday</a></p>
<p>Come join R-Ladies Ames and flex your R skills working on the weekly Tidy Tuesday dataset. This is a weekly event hosted by R for Data Science that emphasizes learning how to clean, tidy, and visualize data "from the wild". Bring your lunch and hack away with us! <a href="https://github.com/rfordatascience/tidytuesday" class="linkified">https://github.com/rfordatascience/tidytuesday</a></p>
<p>Come join R-Ladies Ames and flex your R skills working on the weekly Tidy Tuesday dataset. This is a weekly event hosted by R for Data Science that emphasizes learning how to clean, tidy, and visualize data "from the wild". Bring your lunch and hack away with us! <a href="https://github.com/rfordatascience/tidytuesday" class="linkified">https://github.com/rfordatascience/tidytuesday</a></p>
<p>Come join R-Ladies Ames and flex your R skills working on the weekly Tidy Tuesday dataset. This is a weekly event hosted by R for Data Science that emphasizes learning how to clean, tidy, and visualize data "from the wild". Bring your lunch and hack away with us! <a href="https://github.com/rfordatascience/tidytuesday" class="linkified">https://github.com/rfordatascience/tidytuesday</a></p>
<p>Come join R-Ladies Ames and flex your R skills working on the weekly Tidy Tuesday dataset. This is a weekly event hosted by R for Data Science that emphasizes learning how to clean, tidy, and visualize data "from the wild". Bring your lunch and hack away with us! <a href="https://github.com/rfordatascience/tidytuesday" class="linkified">https://github.com/rfordatascience/tidytuesday</a></p>
<p>Come join R-Ladies Ames and flex your R skills working on the weekly Tidy Tuesday dataset. This is a weekly event hosted by R for Data Science that emphasizes learning how to clean, tidy, and visualize data "from the wild". Bring your lunch and hack away with us! <a href="https://github.com/rfordatascience/tidytuesday" class="linkified">https://github.com/rfordatascience/tidytuesday</a></p>
<p>Everyone is welcome with or without laptop ;)<br/>Room 195A</p>
<p>Everyone is welcome with or without laptop ;)<br/>Room 195A</p>
<p>Everyone is welcome with or without laptop ;)<br/>Conference room in 195 Durham</p>
<p>Everyone is welcome with or without laptop ;)<br/>Conference room in 195 Durham<br/>12-1pm</p>
<p>Everyone is welcome with or without a laptop ;)<br/>Conference room in 195 Durham<br/>12-1pm</p>
<p>Everyone is welcome with or without a laptop ;)<br/>Conference room in 195 Durham<br/>12-1pm</p>
<p>Everyone is welcome with or without a laptop ;)<br/>Conference room in 195 Durham<br/>12-1pm</p>
<p>Hi there! We are meeting tomorrow for #TidyTuesday and have fun with some data related to Philadelphia Parking Violations.<br/>Join us in Durham 195A on November 12 (12-1pm)<br/>Everyone is welcome!</p>
<p>How to manipulate your data set using RStudio? Attend the workshop to learn, among others, how to add, remove, filter, summarize variables!</p> <p>Everyone is welcome!<br/>Room 3121 Snedecor Hall - 5pm</p>
<p>Hi there! We are meeting tomorrow for #TidyTuesday<br/>Join us in Durham 195A on November 12 (12-1pm)<br/>Everyone is welcome!</p>
<p>Hi R-Ladies and those that are interested in supporting gender diversity in the R community! We are thrilled to announce that R-Ladies Canberra is launching on Tue 26th February!</p> <p>You are all invited to give a lightning talk about ANYTHING related to R, including but not limited to:</p> <p>-Your past experience of using R;<br/>-Your favourite packages;<br/>-Something that you want to learn but don't know where to start with;<br/>-Useful channels to learn R;<br/>etc. etc.</p> <p>(Note you don't have to give a talk.)<br/>These will be informal talks and we are really friendly people, so don't be stressed! We would recommend keeping your talk short and concise, 5-10 minutes will be perfect. We could always schedule your longer talks in the coming events.</p> <p>Please come along to brainstorm, meet people, have fun and enjoy some goodies!</p> <p>A big thank you to the Nous Group who are providing the venue and catering for this event!</p> <p>Please fill out the form below whether you are giving a lightning talk or not (such as your preference for future meeting time and other comments):</p> <p><a href="https://docs.google.com/forms/d/e/1FAIpQLScaH5DHfs5kKCYbbJEOrCYCyoIbZwVDuTsWTW2unUq0OV_SbQ/viewform" class="linkified">https://docs.google.com/forms/d/e/1FAIpQLScaH5DHfs5kKCYbbJEOrCYCyoIbZwVDuTsWTW2unUq0OV_SbQ/viewform</a></p> <p>Please also follow us on twitter @RLadiesCanberra (<a href="https://twitter.com/RLadiesCanberra" class="linkified">https://twitter.com/RLadiesCanberra</a>) if you would like some R and R-Ladies tweets!</p> <p>We look forward to seeing you!</p>
<p>Bayesian models become more prominent thanks to the modern computing technologies. In this meeting, you will take a Bayes tour with Jiali (Data61, CSIRO) of the basics in Bayesian inference, coding from scratch in R and implementation using Stan software (interface with R)! A normal model will serve as the building block, and then you will go through examples of hierarchical models and semi-parametric models for multilevel data or longitudinal data (different disciplines have different names for essentially the same model, but we will convergence!) The R examples will be demonstrated in R Markdown, so please come along if you are interested in learning basics of R Markdown.</p> <p>Bringing a laptop is totally optional, but you are encouraged to do so if you are keen on having some hands-on experiences of running your own Bayesian models. Don’t worry about taking notes, all the materials and R code will be shared with you later.</p> <p>There will be time for discussions /networking after the tutorial, so make sure to bring any of your questions; there might be experts in the room who can help solving your problems!</p> <p>Looking forward to seeing you there!</p>
<p>R is primarily known as a tool for statistics and data analysis, but it is also great for "simpler" data wrangling and plotting purposes. As R is becoming more accessible and useful in this regards, it is becoming a more viable alternative to Microsoft Excel and other spreadsheet-based applications for wrangling, analysing and visualising data. This has resulted in more R-users who are not from the "hardcore" STEM disciplines - like linguists, psychologists and researchers in political science. In this talk, Hedvig will introduce the concept of tidy data, the wonders of the tidyverse and ggplot for beginner users of R and experienced users who mainly use non-tidyverse packages.</p> <p>Hedvig (<a href="https://sites.google.com/site/hedvigskirgard/" class="linkified">https://sites.google.com/site/hedvigskirgard/</a>) is a linguist working on Pacific languages at ANU. She focuses on grammatical structure and diversification, how one language becomes many. This is her final year of her PhD, and one the side she helps other linguists and humanities students with R.</p> <p>Hedvig has kindly shared her slides (<a href="https://drive.google.com/drive/folders/11BE_fQv_ov8cCflxCcqa8tC3NY7u1UKH" class="linkified">https://drive.google.com/drive/folders/11BE_fQv_ov8cCflxCcqa8tC3NY7u1UKH</a>), for you to have a glimpse before coming to the event.</p> <p>Please NOTICE that the location for this event has changed to CSIRO black mountain site. The entrance of Synergy building is opposite to discovery centre. We will put a sign at the entrance to show the direction to the meeting room - Stingbark on the ground floor.</p> <p>Beginners and intermediate R users are all encouraged to come!</p>
<p>Statistics on Street Corners: Bridging the gap between inferential and exploratory analysis using crowd-sourcing with data visualisation</p> <p>Plots of data often provoke the response "is what we see really there". In this talk we will discuss ways to give visual statistical methods an inferential framework. Statistical significance of "graphical discoveries" is measured by having the human viewer compare the plot of the real dataset with collections of plots of null datasets: plots take on the role of test statistics, and human cognition the role of statistical tests, in a process modeled after the "lineup", popular from criminal legal procedures. This is a simple but rigorous protocol that provides valid inference, yielding p-values for graphical findings. The procedure can also be used to objectively decide the best choice of graphical display of the same data, for communicating information.</p> <p>Biography</p> <p>Dianne Cook is Professor of Business Analytics at Monash University in Melbourne, Australia. She is a world leader in data visualisation, especially the visualisation of high-dimensional data using tours with low-dimensional projections, and projection pursuit. She is currently focussing on bridging the gap between exploratory graphics and statistical inference. Di is a Fellow of the American Statistical Association, was recently the editor of the Journal of Computational and Graphical Statistics, and has been elected as an Ordinary Member of the R Foundation. Several of her students have won the prestigious American Statistical Association John Chambers Software Award, including Hadley Wickham, Yihui Xie, Carson Sievert, and most recently, Monash student Earo Wang.</p>
<p>Literate Projecting</p> <p>Webcast: <a href="https://webcast.csiro.au/#/webcasts/literateprojecting" class="linkified">https://webcast.csiro.au/#/webcasts/literateprojecting</a></p> <p>"Literate programming" is an approach to writing software programs that weaves together the source code and documentation at the time of creation. The idea is to create programs that are easier for users to understand. But they are also easier for programmers to work on and maintain. In this talk, I will describe how data scientists can be inspired by this programming approach and start what I refer to as "literate projecting." Literate projects are not only more pleasant to work on -- they are also easier for others to discover and explore. In my experiences as a researcher and now a data scientist at RStudio, I've had the pleasure to work on many literate projects, and I've felt the pain of working on illiterate ones too. What is the difference? What are the benefits? Based on my experiences, I'll share good literate projecting practices that have the potential to shift your mindset and reshape your workflow.</p> <p>Biography</p> <p>Alison Hill is a Data Scientist &amp; Professional Educator on the RStudio Education team, whose mission is to train the next million R users globally. She received her PhD in psychology and quantitative methods from Vanderbilt University. Alison is an international keynote speaker, and regularly leads workshops and develops online learning materials on topics like reproducible research, machine learning, and data visualization. She lives in Portland, Oregon with her husband and young daughter.</p>
<p>Following on from the highly successful Workshop for Design a Personal Website run by Dr Alison Hill of RStudio, we're organising a get-together for those who would like to continue working on their website, those who would like to get started on their website, and those who would simply like to keep calm and do a bit of R coding! All in a supportive atmosphere with the workshop webcast and some workshop attendees to help.</p> <p>Bring your laptops and power cords and enjoy the hospitality at the Nous offices on the 9th floor of 121 Marcus Clarke Street, Civic.</p>
<p>[地點] 社會創新實驗中心 (A-3教室)</p> <p>[Agenda]<br/>• 19:30 ~ 20:00 (30 mins) 閃電秀: 政府開放資料與地理資訊系統的串連應用 @蔡咏諭<br/>• 20:00 ~ 20:20 (30 mins) 閃電秀: 數位國情調查資料庫的簡介與應用 @黃宗賢<br/>• 20:50 ~ 自由交流時間</p> <p>[Talk Information]<br/>• 政府開放資料與地理資訊系統的串連應用 @蔡咏諭<br/>分享使用臺北市的Taipei-Free熱點資料、各民間商家免費的熱點資訊以及各類政府公開資訊，應用地理資訊系統（GIS）進行分析的經驗。<br/>事實上，我只是R的初學者，在處理這個議題時，都不是透過R進行。因此主要分享自己在使用這些資料時發現哪些有趣的議題或是值得進一步探討的方向，以及在資料使用上遇到的限制，希望能與大家交流討論。</p> <p>• 數位國情調查資料庫的簡介與應用 @黃宗賢<br/>針對臺灣電子治理研究中心2013～2017中所蒐集的調查資料進行運用，並分享數位治理當中幾個有趣的研究議題與值得關注的現象</p> <p>[Speaker Information]<br/>• 蔡咏諭<br/>目前是政治大學公共行政學系的碩士生。對於資料處理與分析有莫名的熱情，因緣機會下接觸過許多不同的資料，包含研究調查、政府公開資訊、稅務行政資料，還有政府、公司與學校的會計財報資料等，喜歡串聯不同資料進行分析與應用。</p> <p>• 黃宗賢<br/>很擔心過年期間被詢問論文進度的政治大學公共行政所碩士生。<br/>曾上山下海地進行勞力密集的調查研究工作，因此對於調查資料的運用與視覺化特別好奇。碩士班開始接觸R，有一段時間對於網頁爬蟲與文字探勘很感興趣，有空的時候喜歡畫好看但實際用途不明的圖。</p> <p>[Host Information]<br/>• Kristen Chan：活動主持人、聯絡講者、活動場地</p> <p>[Code of Conduct]<br/>基本上這是一個女性學習社群，因此若你不是女性，但出現在我們的實體聚會的話，你很可能被要求以下行為：<br/>• 發言的機會請優先留給女生<br/>• 座位請優先保留給女生<br/>• 必須對 R-Ladies Taipei 有貢獻，例如：提供高品質的 3分鐘技術閃電秀</p>
<p>[Note] 講者建議大家攜帶筆電<br/>[地點] 社會創新實驗中心 一樓 A2 教室</p> <p>[Agenda]<br/>• 19:30 ~ 20:30 (60 mins) R ladies x Google Cloud Study Jam @ericsk<br/>• 20:30 ~ 自由交流時間</p> <p>[Talk Information]<br/>• R ladies x Google Cloud Study Jam @ericsk<br/>透過實際操作體驗，認識如何使用 Google Cloud 的各項服務如 BigQuery、Data Studio、AutoML 來處理資料分析、以及機器學習的工作任務，在此活動中，你可以獲得 Qwiklabs 一個月免費額度、按照自己的學習步伐，學會掌握 Google Cloud 成為你事半功倍的夥伴！</p> <p>[Speaker Information]<br/>• Eric ShangKuan (@ericsk)<br/>現任 Google 開發者生態系計劃主持人，與台灣及香港的開發社群互動交流，不僅提供開發人員瞭解學習 Google 開發技術的資源，也協助討論並使用 Google 開發技術的開發人員成功。過去 Eric 曾在 Microsoft 擔任資深技術傳教士、GDG Taipei 創辦人、中華電信從事開發的工作，持續與開發社群互動</p> <p>[Host Information]<br/>• Kristen Chan：聯絡講者、活動場地<br/>• Ning：活動主持人、聯絡講者</p> <p>[Code of Conduct]<br/>基本上這是一個女性學習社群，因此若你不是女性，但出現在我們的實體聚會的話，你很可能被要求以下行為：<br/>• 發言的機會請優先留給女生<br/>• 座位請優先保留給女生<br/>• 必須對 R-Ladies Taipei 有貢獻，例如：提供高品質的 3分鐘技術閃電秀</p>
<p>[Special Series] 資料新聞 &amp; 電信資料</p> <p>[地點] 社會創新實驗中心 (教室待定)</p> <p>[Agenda]<br/>• 19:30 ~ 20:20 (50 mins) 閃電秀: 資料新聞中的資料與新聞 @簡信昌 @李又如<br/>• 20:20 ~ 21:10 (50 mins) 閃電秀: 在電信業做Data Science 的日常 @Kevin<br/>• 21:10 ~ 自由交流時間</p> <p>[Talk Information]<br/>• 資料新聞中的資料與新聞 @簡信昌 @李又如<br/>資料新聞近幾年在國外新聞媒體圈越來越受到重視，主要在於資料數位化的普及，以及電腦對於資料處理的能力越來越強。而且資料新聞的報導方向，可以作為新聞事件中整體環境的描述，盡量避免以偏概全的情況。不過，資料的來源可信度以及正確性都有可能影響新聞的內容，加上目前資料新聞的資料來源都是政府單位，如何驗證，是目前的一大挑戰。因此資料新聞要討論的不單單只是怎麼透過資料來完成新聞，也要探討資料的取得，清理跟統計分析</p> <p>• 在電信業做Data Science 的日常 @Kevin<br/>近來資料科學家、AI等buzzword喊的震天價響，但實際工作上資料科學(DS)是怎麼運作的，國內實際案例卻較為少見，我會以自身在電信業大數據部門兩年的體驗，說明團隊從初步階段到穩定成長及人員的組成，還有工作上日常運作與代表性專案，最後是未來可能出現的瓶頸，以及常見的職涯規劃。</p> <p>[Speaker Information]<br/>• 簡信昌，曾任台灣 Yahoo 工程師，「報導者」技術長，現任鏡傳媒技術長。2014 年加入新聞媒體後，開始嘗試結合技術與新聞，製作互動及數據新聞專題。2018 年開始另一個新聞媒體實驗—「READr」。</p> <p>• 李又如，曾任新新聞周刊記者，2017 年開始跟工程師和設計師一起做新聞。作品曾獲亞洲卓越新聞獎（SOPA）、華文永續報導獎。</p> <p>• Kevin<br/>我是Kevin，在電信業做了兩年的資料分析，歷經用戶流失模型、離線推薦模型的完整流程，此外，資料處理(ETL)、爬蟲與視覺化等日常作業也沒少碰。從團隊的初期，到歷經不同主管的領導下，逐漸體會到技術作為業務上的輔佐，要時時刻刻注意分析的 「價值」，才能累積團隊的credit，有更大的影響力。平時會將一些ML、DL、NLP等學習心得放在medium(<a href="https://medium.com/@chungyizhen" class="linkified">https://medium.com/@chungyizhen</a>)。</p> <p>[Host Information]<br/>• Kristen Chan： 聯絡講者、活動場地<br/>• Pei Lee： 活動主持人、聯絡講者、活動場地<br/>• Ning Chen： 聯絡講者</p> <p>[Code of Conduct]<br/>基本上這是一個女性學習社群，因此若你不是女性，但出現在我們的實體聚會的話，你很可能被要求以下行為：<br/>• 發言的機會請優先留給女生<br/>• 座位請優先保留給女生<br/>• 必須對 R-Ladies Taipei 有貢獻，例如：提供高品質的 3分鐘技術閃電秀</p>
<p>[地點] DigiBlock C棟 (台北市大同區承德路三段287號C棟)<br/>捷運圓山站2號出口步行約5分鐘</p> <p>[Agenda]<br/>• 19:30 ~ 20:30 (60 mins) 主議程: Kubeflow 對於機器學習平台的願景 @林義洋(@yylin1)<br/>• 20:30 ~ 21:10 (40 mins) 閃電秀: R Basic 讀書會分享 - 實用的資料視覺化小技巧 @Lulu Kuo<br/>• 21:10 ~ 自由交流時間</p> <p>[Talk Information]<br/>• Kubeflow 對於機器學習平台的願景 @林義洋(@yylin1)<br/>Kubeflow 是由 Google 與相關公司共同發起的開源專案，其目標是利用 Kubernetes 容器平台上來簡化運維機器學習環境建置與工作負載的流程，使之更簡單、可攜帶性與擴展，並提供一套標準的雲原生 (Cloud Native) 機器學習解決方案，以幫助資料科學家在工作流中實現一套流水線。這次的分享將會透過實際應用案例與分享機器學習平台與相關組件所帶來的幫助，並且介紹 kubeflow 的基本概念與願景。</p> <p>• R Basic 讀書會分享 - 實用的資料視覺化小技巧<br/>@ Lulu Kuo</p> <p>[Speaker Information]<br/>• 林義洋(@yylin1)<br/>目前在長庚AI中心兼任實習，並與碩論奮鬥中的研究生。由於實驗室GPU主機需要有效利用環境資源而接觸容器與分散式管理平台kubernetes，當時機器學習平台崛起，而接觸到 kubeflow 開源專案，現階段正進行研究深度學習進行分散式作業排程，並致力於推廣kubeflow平台與分享學習經驗。</p> <p>• Lulu Kuo<br/>現任於市場調查公司的資料處理部門, 主要將問卷資料統整成報表並以SPSS做統計分析 / 大學統計系畢業, 現任工作沒有用到很多R所以另覓新歡想在R Ladies精進學習, 第一次參加讀書會, 還在摸索中, 有任何建議請不吝指教!</p> <p>[Host Information]<br/>• Kristen Chan： 活動主持人、聯絡講者、活動場地<br/>• Summit Suen： 聯絡講者<br/>• Ed Hsu： 活動場地<br/>• Angie： 聯絡講者</p> <p>[Code of Conduct]<br/>基本上這是一個女性學習社群，因此若你不是女性，但出現在我們的實體聚會的話，你很可能被要求以下行為：<br/>• 發言的機會請優先留給女生<br/>• 座位請優先保留給女生<br/>• 必須對 R-Ladies Taipei 有貢獻，例如：提供高品質的 3分鐘技術閃電秀</p> <p>[Event Tags]<br/>#RladiesTaipei<br/>#Kubeflow<br/>#Visualization<br/>#R</p>
<p>[Agenda]<br/>• 19:30 ~ 20:30 (60 mins) 主議程: 從網路封包看待資料科學的應用 @邱宏瑋(@Hwchiu)<br/>• 20:30 ~ 20:50 (20 mins) 閃電秀: R Basic 讀書會分享 - 關聯規則 @Angie Hsu<br/>• 21:10 ~ 自由交流時間</p> <p>[Talk Information]<br/>• 從網路封包看待資料科學的應用<br/>在網路封包的世界中，資料科學與分析能夠做到什麼樣的地步? 會從基本的網路概念介紹起，最後搭配一些分析的應用介紹</p> <p>• R Basic 讀書會分享- 關聯規則的應用<br/>談到關聯規則，大家很常聽到的都市傳說-啤酒與尿布就是一例，是個很容易理解分析邏輯的一種資料探勘方法，但然後呢?可以怎麼樣應用呢?<br/>這次閃電秀將分享:<br/>1. 關聯規則的演算法與R套件<br/>2. 案例分享<br/>3. 關聯規則限制與優勢</p> <p>[Speaker Information]<br/>• 邱宏瑋(Hwchiu)<br/>• MST @ Open Networking Foundation (ONF)<br/>• Linux/Network/Container/Kubernetes/Golang/DevOps</p> <p>• Angie Hsu<br/>經濟與MBA出身的資深資料分析師，專案經歷橫跨策略、行銷、通路管理、網路訊號優化、異業結盟、催收績效提升、家暴防治等多維度，擅長商業分析與資料科學專案問題架構(Problem Framing)，熱愛參與社群活動，近期與幾位R Ladies 夥伴組織R Basic讀書會交流學習</p> <p>[Host Information]<br/>• Kristen Chan： 活動主持人、聯絡講者、活動場地<br/>• Mia Chang： 聯絡講者<br/>• Ning Chen： 活動宣傳</p> <p>[地點] DigiBlock C棟 (台北市大同區承德路三段287號C棟)</p> <p>[Code of Conduct]<br/>基本上這是一個女性學習社群，因此若你不是女性，但出現在我們的實體聚會的話，你很可能被要求以下行為：<br/>• 發言的機會請優先留給女生<br/>• 座位請優先保留給女生<br/>• 必須對 R-Ladies Taipei 有貢獻，例如：提供高品質的 3分鐘技術閃電秀</p> <p>[Event Tags]<br/>#RladiesTaipei<br/>#網路封包<br/>#DataScience<br/>#AssociationRule<br/>#R</p>
<p>[Agenda]<br/>• 19:30 ~ 20:30 (60 mins) 主議程: 平行化計算在電信資料的應用 @Jack Tsai<br/>• 20:30 ~ 自由交流時間</p> <p>[Talk Information]<br/>• 平行化計算在電信資料的應用<br/>將簡介幾種平行化方法，介紹在緬甸與台灣電信業的工作實例。行銷大數據注重的是與客戶的關係，但在基地台供應商下，著重的卻是利用基地台資料，給予客戶建站建議。R可以快速的幫助我解決遇到的問題，將分享R哪些套件幫助我從整理資料、分析建模甚至利用平行化運算結合電信知識幫助我在不同的團隊說服不同的人。</p> <p>[Speaker Information]<br/>• Jack Tsai<br/>目前在軟體公司擔任資料科學家(資料分析師)，同時也是淡江統計的兼任講師，曾在台灣電信業與緬甸電信產業擔任資料分析師，很常在網路資料社群中潛水，最近被學姊出賣，短時間浮出水面兩次XD</p> <p>[Host Information]<br/>• Kristen Chan： 活動主持人、聯絡講者、活動場地</p> <p>[地點] DigiBlock C棟</p> <p>[Code of Conduct]<br/>基本上這是一個女性學習社群，因此若你不是女性，但出現在我們的實體聚會的話，你很可能被要求以下行為：<br/>• 發言的機會請優先留給女生<br/>• 座位請優先保留給女生<br/>• 必須對 R-Ladies Taipei 有貢獻，例如：提供高品質的 3分鐘技術閃電秀</p> <p>[Event Tags]<br/>#RladiesTaipei</p>
<p>本月活動為R-Ladies Taipei x LINE Taiwan共同舉辦，<br/>地點在LINE Taiwan 辦公室<br/>＊因場地座位有限，請務必確認能否出席再報名唷，謝謝！</p> <p>[Code of Conduct]<br/>基本上這是一個女性學習社群，因此若你不是女性，但出現在我們的實體聚會的話，你很可能被要求以下行為：<br/>• 發言的機會請優先留給女生<br/>• 座位請優先保留給女生<br/>• 必須對 R-Ladies Taipei 有貢獻，例如：給 R-Ladies Taipei 一場 Talk</p> <p>[地點] LINE Taiwan<br/>台北市內湖區瑞光路610號 (於一樓大廳辦理報到)</p> <p>[Agenda]<br/>• 19:10 ~ 19:30 於一樓大廳辦理報到<br/>• 19:30 ~ 20:30 (60 mins) 主議程: 以看圖寫詩為例的創意文本生成 @Johnson Wu<br/>• 20:30 ~ 20:45 (15 mins) 主議程 Q&amp;A<br/>• 20:45 - 21:15 (15 mins) 閃電秀: The dynamic of R programming styles @Yen<br/>• 21:15 ~ 自由交流時間</p> <p>[Talk Information]<br/>• 以看圖寫詩為例的創意文本生成 @Johnson Wu<br/>隨著深度學習發展，自然語言處理在機器翻譯、摘要生成等領域獲得巨大的成果，而在除去這些伴隨著標準答案來學習的課題之外，近年來人工智慧在難以有標準來衡量的人文創意方面也有很大的進步，本講題會從ＮＬＰ中的自動內容生成課題出發，以看圖寫詩為例介紹近年來人工智慧在生成與評價方面的成果</p> <p>[Speaker Information]<br/>• Johnson Wu<br/>LINE 資料科學家</p> <p>• Yen<br/>R-Ladies Taipei co-founder. 現為 Ｍannheim Business School 財務博士。</p> <p>[Host Information]<br/>• Angie Hsu： 活動主持人、聯絡講者、活動場地<br/>• Summit Suen： 聯絡講者<br/>• Kristen Chan： 聯絡講者</p> <p>[Event Tags]<br/>#RladiesTaipei<br/>#LINETaiwan<br/>#NLP<br/>#DeepLearning</p>
<p>[Agenda]<br/>• 19:30 ~ 20:30 (60 mins) 主議程: R在野生動物族群估算方面的應用 @Trica<br/>• 20:30 ~ 21:00 (30 mins) 閃電秀: Scrum 中毒者的經驗分享 @Tony Yang<br/>• 21:00 ~ 自由交流時間</p> <p>[Talk Information]<br/>• R在野生動物族群估算方面的應用<br/>動物族群量是野生動物與棲地經營管理不可或缺的基礎資訊，也是生態研究的重要依據。族群估算的方法從1930年代起演進至今，是許多生態學家與統計學家合作無間的成果，從21世紀初期，R在此領域方法學的提升扮演不可或缺的角色，講者將從R coding的視角分享族群估算方法的演進以及常應用的模型，主要以北美常見中小型哺乳動物的資料為例(ex. 白尾鹿、北美負子鼠、浣熊及一些萌鼠輩朋友們.....)。</p> <p>• Scrum 中毒者的經驗分享</p> <p>[Speaker Information]<br/>• Trica<br/>生態研究出身，長達十多年的山林野人經驗，因緣際會在coding的過程對統計及資料科學產生更大了的熱忱，毅然決然出山(誤!)，走出象牙塔，幸好筋很軟一腳跨進業界，現為某新創科技公司的資料科學家。</p> <p>• Tony Yang<br/>叡揚資訊雲端與巨資事業群 處長</p> <p>[Host Information]<br/>• Kristen Chan： 活動主持人、聯絡講者、活動場地</p> <p>[地點] DigiBlock C棟 (待確定)</p> <p>[Code of Conduct]<br/>基本上這是一個女性學習社群，因此若你不是女性，但出現在我們的實體聚會的話，你很可能被要求以下行為：<br/>• 發言的機會請優先留給女生<br/>• 座位請優先保留給女生<br/>• 必須對 R-Ladies Taipei 有貢獻，例如：提供高品質的 3分鐘技術閃電秀</p> <p>[Event Tags]<br/>#RladiesTaipei</p>
<p>[Agenda]<br/>• 19:30 ~ 20:30 (60 mins) 主議程: Machine Learning 從入門到崩潰 @賴小賴<br/>• 20:30 ~ 自由交流時間</p> <p>[Talk Information]<br/>• Machine Learning 從入門到崩潰<br/>用 Google Cloud AutoML 來判斷股票類別</p> <p>[Speaker Information]<br/>• 賴小賴</p> <p>[Location]<br/>digiBlock C<br/>地址：103台北市大同區承德路三段287號<br/>捷運：圓山站</p>
<p>[Agenda]<br/>• 19:30 ~ 20:30 (60 mins) 主議程: 如何利用開源程式碼進行圖片去背 @蕭聖哲<br/>• 20:30 ~ 自由交流時間</p> <p>[Talk Information]<br/>• 如何利用開源程式碼進行圖片去背<br/>從小到大多少會用到圖片去背的功能，可能在做簡報的時候，點一下「設定透明色彩」。稍微複雜的圖像，可利用photoshop的「魔術棒工具」或「套索工具」，人工選取標的物，將背景去除，但即使是嫻熟的人可能仍需10分鐘尚能完成一張圖片的去背作業，如果只有一張圖片可能還好吧，倘若有百張圖片要進行去背的時候呢？<br/>近年來隨著深度學習網絡的發展，影像的處理模式從「工人智慧」逐漸轉變為「人工智慧」。但何謂深度學習？打開維基百科中文版，相信很多人跟我一樣，即使都是中文，但......。所以本次的分享，並不會去探討各種深度學習網路的差異及建置的過程，而是如何透過網路上善心人士的開源程式碼，利用已經訓練好的模型，加以應用，來完成「AI」去背。</p> <p>[Speaker Information]<br/>• 蕭聖哲<br/>畢業於國立台灣大學森林系。因工作緣故對於資料爬蟲、清理、建模與視覺化的呈現頗有心得。最近因參與AIGO計畫，開始研究如何利用AI進行自動化去背。</p> <p>[Location]<br/>digiBlock C<br/>地址：103台北市大同區承德路三段287號<br/>捷運：圓山站</p> <p>[Code of Conduct]<br/>基本上這是一個女性學習社群，因此若你不是女性，但出現在我們的實體聚會的話，你很可能被要求以下行為：<br/>• 發言的機會請優先留給女生<br/>• 座位請優先保留給女生<br/>• 必須對 R-Ladies Taipei 有貢獻，例如：提供高品質的 3分鐘技術閃電秀</p> <p>[Event Tags]<br/>#RladiesTaipei<br/>#開源程式</p>
<p>Have you always wanted to build a Shiny App but didn’t know how to get started?</p> <p>The students in the 2nd Data Science Cohort at Nashville Software School just completed their mid-course projects using R Shiny. Five of those students, Binu Thomas, Davis Thrailkill, Glenna Dunn, Hari Tanjore, and Rachael Abram, will show the apps they created and lead a conversation about getting started with Shiny. And they're sure to have tips and lessons learned while working on their projects to share!</p>
<p>Allison Baker, Director of Supply Chain Analytics at HealthTrust will be talking about how she has used R over the last 10 years, some lessons learned along the way, how her team uses R today, and why R Programming is her "jam".</p> <p>5:30 pm - networking<br/>6:00 pm - program</p> <p>Thanks to the NTC for providing space!</p>
<p>Curious about package development, but not sure where to start? This talk is for you! This talk will empower you to start contributing back to the R ecosystem with package development. By the end of this talk, you should know:</p> <p>- why you should make your code into a package,<br/>- how to make a package,<br/>- test your package, and<br/>- write a description or vignette about your package</p> <p>Come learn from Jacquelyn Neal, a PhD candidate in biostatistics at Vanderbilt and a data analyst for Virtual Inc. and Jennifer Morse, a biostatistician at Vanderbilt University Medical Center.</p> <p>Social time starts at 5:30 pm and the talk begins at 6:00 pm.</p> <p>Thanks to the Nashville Technology Council for meeting space!</p>
<p>For our first meetup of 2019 we will be hosting Celina Lee from Zindi!</p> <p>Zindi is the first data science competition platform in Africa. Zindi hosts an entire data science ecosystem of scientists, engineers, academics, companies, NGOs, governments and institutions focused on solving Africa’s most pressing problems.</p> <p>Find out more here: <a href="https://zindi.africa/" class="linkified">https://zindi.africa/</a></p> <p>Celina will tell us a bit more about Zindi, how to get involved and use the platform, then we'll get stuck into looking at one of the challenges together, using real world data to learn, collaborate, discuss, grow our skills, and at the same time, help solve one of Africa's most pressing problems!</p> <p>If you have your own laptop, please bring with to the meetup.</p>
<p>Meg Murgatroyd is a postdoctoral fellow at the FitzPatrick Institute of African Ornithology, UCT. She specializes in movement ecology and conservation of raptors. She has been collecting GPS tracking data from Verreaux’s eagles across South Africa and is building an R-based model to predict wind turbine collision risk for the species. The model functions in a similar way to habitat use models and will help to inform macro- and micro- placement of wind turbines across SA in more eagle-friendly locations.</p> <p>The session will present what a wind turbine collision risk model is and why we need it. Then Meg will share some R code to analyse some tracking data and use it for predictive modeling. This will include annotating tracking data with topographic data, preparing it for a model and using the model to make predictions about collision risk in other areas.</p> <p>Bring laptops and have the ‘raster’ package installed.</p> <p>Find out more information here: <a href="https://blackeagleproject.blogspot.com/p/about-black-eagle-project.html" class="linkified">https://blackeagleproject.blogspot.com/p/about-black-eagle-project.html</a></p>
<p>** Our speaker<br/>Theoni Photopoulou, a Quantitative ecologist and Marine biologist, currently at the University of St Andrews, Scotland, working on animal movement models.</p> <p>** Details<br/>Hidden Markov models (HMMs) are flexible, general-purpose models for time series data. They are discrete time models and can be used to analyse time-regular data. One area in which they have been increasing in popularity is animal movement, where they are used to better understand the structure in animal location data, such as GPS tracks. I will present an introduction to HMMs and some examples using two R packages, moveHMM and momentuHMM.</p> <p>Photo by Barth Bailey on Unsplash.</p>
<p>We are very excited to announce a new event format by R-Ladies Cape Town: #tidytuesday. The #tidytuesday initiative was created by R for Data Science (#R4DS) - they release a data set every Tuesday with the challenge to create a unique visualisation based on the data set. We will be doing just that! Bring along your laptop - we will be downloading the #tidytuesday data set released that day (or you could use a previous one if you like) and using it to practice our visualisation skills. We will provide a short script to get you started. You are welcome to work on your own or collaborate, and bring your own data and questions along if you'd like. If you can, please bring something to drink and/or some snacks to share!</p> <p>From R4DS: "Join the R4DS online learning community in the weekly #TidyTuesday event! Every week we post a raw dataset, a chart or article related to that dataset, and ask you to explore the data. While the dataset will be “tamed”, it will not always be tidy! As such you might need to apply various R for Data Science techniques to wrangle the data into a true tidy format. The goal of TidyTuesday is to apply your R skills, get feedback, explore other’s work, and connect with the greater #RStats community! As such we encourage everyone of all skills to participate!”</p> <p>We encourage a mix of regular useRs and total beginners to encourage a collaborative co-learning space. Follow #tidytuesday on Twitter for some examples of visualisations created in the past. If you feel up to it, we encourage posting your own visualisation :)</p>
<p>Taryn Morris, Chief Scientist at Ixio Analytics, will be joining us to give an introduction to Natural Language Processing.</p> <p>Taryn recently played around with some Tidy Text (www.tidytextmining.com/) and did some Twitter scraping and sentiment analysis, which she found quite fun! Furthermore, she realised that these are great tools to add to your toolbox and wants to share her newly learned skills with us!</p> <p>This will be interactive/tutorial based, so to prepare, these are some of the packages we will be using, which you can make sure you've got installed before coming:</p> <p>library(rtweet)<br/>library(tidyverse)<br/>library(readxl)<br/>library(RCurl)<br/>library(httr)<br/>library(tm)<br/>library(wordcloud)<br/>library(syuzhet)<br/>library(plotly)<br/>library(tidytext)</p>
<p>Come to the very first R-Ladies El Paso meeting! Meet other R-Ladies, share your thoughts on what you'd like the group to do in the future, and just hang out! We can also work one-on-one to help with R installation if anyone wants help.</p>
<p>We'll be going through all the steps of analyzing a fun data set together (reading in data, loading packages, doing basic analyses, graphic). If you're new to R, this will be a fun way to jump in feet first &amp; get started! If you're an experienced R user, come along to share your knowledge &amp; mentor other R-Ladies!</p>
<p>We'll be working with the same csv file as at our last meeting, but we'll be digging into text analysis more, and we'll practice using regular expressions.</p>
<p>Join us for our first Santa Barbara R-Ladies meetup of 2019!</p> <p>SB R-Ladies is growing quickly, and we're excited to see (and meet) you at our 2019 Kick-Off meetup on January 24th. We'll give a brief introduction to the group, get your ideas for events/topics you'd like to see in the new year, and mingle to continue building our growing coding community. Small snacks, refreshments, and hex stickers will be provided!</p> <p>Please RSVP for this event so we can plan accordingly.</p> <p>We'll look forward to seeing you on Decker's Deck (2nd floor, Bren Hall) on January 24th. *If it's raining, we have a backup room reserved at Bren (so the event will happen rain or shine).*</p> <p>Anyone with an interest in R is encouraged to participate. It doesn't matter if you never used R or if you are an R expert. The goal is to promote R, exchange knowledge and foster a supportive community for those who identify with a gender minority (trans women, cis women, trans men, non-binary, other). We expect all attendees to abide by our Code of Conduct.</p> <p>Parking: for those of you joining us from off-campus, you can park in Lot 10 (near the roundabout where Hwy 217 meets UCSB) after 5pm with a Visitor's Permit.</p>
<p>Hi R-Ladies!</p> <p>This meetup will be a presentation with examples you can also do hands-on on your own computer. The focus will be on efficiencies you can bring into your workflow that will streamline your R experience and make it easier to collaborate with others and to ask for help.</p> <p>We will learn things from the `usethis` and `here` packages, and draw from Jenny Bryan and Jim Hester's "What they forgot to teach you about R" lessons (<a href="https://jennybc.github.io/wtf-2019-rsc/" class="linkified">https://jennybc.github.io/wtf-2019-rsc/</a>).</p> <p>Tentative schedule:</p> <p>- 5:30 drinks and networking<br/>- 5:45 presentation &amp; hands-on<br/>- 6:45 drinks and networking</p> <p>Looking forward to seeing you!</p>
<p>Come learn some basics of building a Shiny app in R with a Halloween-themed dataset for our session on Wednesday, October 30th from 5:30pm - 7:00pm at NCEAS!</p> <p>In this session we'll introduce:</p> <p>- General app structure<br/>- Adding widgets for user selection &amp; input<br/>- Intro to reactive expressions</p> <p>To code along, bring your computer with R, RStudio and the tidyverse package installed. Attendees will receive another message close to the meetup date with data &amp; other materials.</p> <p>Make sure to RSVP, as space is limited.</p> <p>See you at NCEAS on October 30th!</p>
<p>Le prochain meetup Rladies accueillera Maëlle Salmon, software engineer pour rOpenSci et Locke Data. Nous aborderons la question de comment trouver de l'aide dans les océans R. Les diapos seront en anglais mais ce sont les participant.e.s présents qui choisiront si Maëlle présente en anglais ou en français.</p> <p>Nous serons hébergé par Malt, proche de Gare de l'Est : Maëlle s'en retournera à Nancy assez tôt :'-( c'est la raison pour laquelle nous débuterons à 18h15</p> <p>Let's welcome Maëlle Salmon, software engineer at rOpenSci and Locke Data for our next meetup. We will deal with seeking for assistance on R's oceans. Slides will be in english but attendees will choose if the presentation is in french or in english.</p>
<p>Vamos a realizar desde el espacio R-Ladies Mendoza un taller informal para que puedas introducirte al mundo de la ciencia de datos con R.</p> <p>Se llevará a cabo en la Facultad de Ciencias Exactas y Naturales de la Universidad Nacional de Cuyo en el aula 305.</p> <p>Trae tu notebook, tu cargador y una zapatilla cada dos o tres personas.</p> <p>Traer ya instalado R + RStudio y el paquete tidyverse para sacarle más provecho al taller. Este taller es para quienes ya vienen manejando R, sea nivel básico o intermedio.</p> <p>Este evento tiene un cupo de inscripción, para que podamos atender bien a quienes asisten. Si confirmas asistir y luego no puedes, libera tu lugar para que otros puedan asistir.</p> <p>El taller será dictado por:</p> <p>* Ing. Ana Laura Diedrichs - Twitter @anadiedrichs<br/>* Ing. Jan Strappa - Twitter @superXponential<br/>* Lic. Brenda Canizo - Twitter: @Brenda_Canizo</p> <p>Temario</p> <p>* Presentación de R-Ladies Mendoza y novedades de la comunidad.<br/>* Presentación de los datasets a utilizar: mujeres programadoras<br/>* Procesando datos con tidyverse, introducción: carga, limpieza, reporte, gráficas, ¿sugieres algún modelo?<br/>* Reportando con Rmarkdown (introducción básica).<br/>* ¡Compartamos conclusiones!</p> <p>Sponsors</p> <p>Hacen posible este evento:</p> <p>Laboratorio de Química Analítica para Investigación y Desarrollo. FCEN UNCUYO<br/>Facultad de Ciencias Exactas y Naturales - UNCUYO</p> <p>Rconsortium</p>
<p>Vamos a realizar un workshop de R-Ladies Mendoza en el marco del FLISOL (Festival Latinoamericano de instalación de software libre), que se realizará en la UTN Mendoza.</p> <p>Trae tu notebook, tu cargador y una zapatilla para que puedas trabajar de forma cómoda.</p> <p>El taller tiene cupo para asegurar una buena atención a todo asistente y que podamos interactuar de forma ordenada. Si no vas a asistir, libera tu lugar para que otra persona pueda anotarse. Aclaramos que el taller no es un curso de R ni tampoco entregamos certificación. Es un taller informal o meetup para compartir experiencias en R y se impartirán actividades o ejercicios.</p> <p>Recomendamos que ya tengas instalado R + RStudio para sacarle más provecho al taller. No es problema si lo instalas durante el taller, estamos para asesorarte y acompañarte en el proceso, pero pueden que surjan demoras y no puedas realizar todas las actividades. De ser así, no hay problemas, publicamos todo nuestro material en el repositorio de R-Ladies Mendoza.</p> <p>Si ya tenías instalado R + Rstudio, o lograste instalarlo para el taller y ya tienes una base de R, entonces recomendamos que instales los siguientes paquetes: ggplot2, knitr, tidyverse.</p> <p>¿Ya tenés experiencia en R y querés ayudarnos en el taller? Podés ayudarnos asistiendo a principiantes, compartiendo tus scripts, etc. Escribinos a [masked] y animate a acompañarnos y ayudarnos en la iniciativa de compartir R con quienes dan sus primeros pasos.</p> <p>El taller será dictado por Ing. Ana Laura Diedrichs - Twitter @anadiedrichs</p> <p>Asistentes / helpers<br/>* Ing. Jan Strappa - Twitter @superXponential<br/>* Lic. Brenda Canizo - Twitter: @Brenda_Canizo</p> <p>Sponsors</p> <p>Rconsortium<br/>FLISOL - SAE - UTN Mendoza</p>
<p>Hello everyone,</p> <p>Happy new year! Welcome to our second Pasadena R-Ladies meeting. Per your requests, we will have a talk on good practices in R. This session will be led by Zhi Yang who is a Ph.D. candidate in biostatistics from the University of Southern California.</p> <p>The talk will be targeted at those who just began their journey in using R or only use it now and then. If you were one of them, you might be at the stage that the excitement and joy, from running awesome analyses and generating data visualization in R, have been taken away by being tired of managing scripts and repeatedly doing things. Then, it might be time to consider developing good practices in R.</p> <p>Based on some widely-known online resources and her own experiences, Zhi will go over a wide range of good practices in R including how to use RStudio projects, name files, customize RStudio, create shortcuts, format codes, write functions, and etc. These tips will hopefully help improve your experiences of programming in R to achieve goals of better managing multiple projects and saving your time in the long run.</p>
<p>Hi everyone! Apologies for the radio silence, many of us have been traveling. We'd like to host our next RLadies Meetup at the Sherman Fairchild Library at Caltech on Wednesday, April 24th, at 6pm. The topic will be "R Under The Hood" led by Gail Clement, and will cover project setup configurations, including how to customize your .Rprofile and .Renvironment files. We'll have food at 6, and the presentation will start at 7. Hope to see you there!</p>
<p>Title: How to write R packages<br/>Speaker: Dongyi (Lambda) Lu, Graduate student at Caltech</p> <p>Abstract: Package ecosystems like CRAN and Bioconductor makes R a powerful tool in data analysis across fields. Writing packages is a great way to share code and to reuse code ourselves. In fact, writing R packages is not as difficult as some may expect thanks to integration of devtools, roxygen2, and git into RStudio. In this meetup, we will learn the basic structure of R packages, get started with git, write a minimal package with roxygen2 documentation, and get it to pass R CMD check. If time permits, we will also cover Bioconductor package requirements.</p> <p>We'll have food at 6, and the presentation will start at 7. Hope to see you there!</p>
<p>Hi everyone! Keren will be presenting on how to make a personal website using the Blogdown package and RStudio! Specifically she will be covering the following points:<br/>- Motivations for building a personal website<br/>- Introduction to version control (using Git/GitHub)<br/>- Introduction to Blogdown using RStudio<br/>- Step by step instruction on building a personal website using Blogdown</p> <p>Here's the links for her presentation content:<br/>Slides: <a href="https://xukeren.rbind.io/slides/20191106/slides#1" class="linkified">https://xukeren.rbind.io/slides/20191106/slides#1</a><br/>Handout: <a href="https://github.com/XUKEREN/Building-a-Personal-Website-Using-Blogdown/blob/master/README.md" class="linkified">https://github.com/XUKEREN/Building-a-Personal-Website-Using-Blogdown/blob/master/README.md</a></p> <p>It is also recommended to set up Git and connect your RStudio to Git and Github in order to follow along with the presentation. One resource that covers this is Happy Git and Github for the useR by Jenny Bryan (<a href="https://happygitwithr.com/" class="linkified">https://happygitwithr.com/</a>)</p> <p>Finally: Please make sure you register if you plan on attending - we will need an accurate count for the room and for food!</p> <p>Thanks so much and see you all tomorrow evening!</p>
<p># Tópicos:<br/>* O que é o R-Ladies?<br/>* Por que precisamos desse espaço?<br/>* Uma visão feminina do uso da Ciência de Dados no mercado privado.​<br/>* Introdução ao Tidyverse:​ primeiros passos na manipulação de base de dados.​</p> <p># Quanto custa?<br/>Evento totalmente gratuito.</p>
<p>In this workshop, I will introduce the basics of R Markdown, including the yaml header, code chunk options, embedding external R code/html links/graphics, utilizing parameters, and other R Markdown features. If time permits, I'll briefly discuss Bookdown (for books) and Xaringan (for slides), the 2 packages built on top of R Markdown.</p> <p>The workshop actually starts at 7pm, but we'll meet early.</p> <p>Bio: Lizzy Huang is a Quantitative Analytics Senior in Freddie Mac, where she develops models for mortgage-backed security pricing using different machine learning algorithms. She writes programs in R and uses R Markdown intensively for model documentation. Prior to joining Freddie Mac, she worked with the Department of Statistical Science at Duke University to develop the online course Bayesian Statistics in the Statistics with R Specialization on Coursera. She received her Ph.D. in mathematics from Duke University in 2017.</p>
<p>Spend Friday night discussing the history of Bayes' theorem at a women-owned brewery near DC.</p> <p>Purchase the book here: <a href="https://www.amazon.com/gp/product/0300188226/ref=oh_aui_detailpage_o00_s00?ie=UTF8&amp;psc=1" class="linkified">https://www.amazon.com/gp/product/0300188226/ref=oh_aui_detailpage_o00_s00?ie=UTF8&amp;psc=1</a></p> <p>Bayes' rule appears to be a straightforward, one-line theorem: by updating our initial beliefs with objective new information, we get a new and improved belief. To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok.</p> <p>In the first-ever account of Bayes' rule for general readers, Sharon Bertsch McGrayne explores this controversial theorem and the human obsessions surrounding it. She traces its discovery by an amateur mathematician in the 1740s through its development into roughly its modern form by French scientist Pierre Simon Laplace. She reveals why respected statisticians rendered it professionally taboo for 150 years—at the same time that practitioners relied on it to solve crises involving great uncertainty and scanty information (Alan Turing's role in breaking Germany's Enigma code during World War II), and explains how the advent of off-the-shelf computer technology in the 1980s proved to be a game-changer. Today, Bayes' rule is used everywhere from DNA de-coding to Homeland Security.</p> <p>Drawing on primary source material and interviews with statisticians and other scientists, The Theory That Would Not Die is the riveting account of how a seemingly simple theorem ignited one of the greatest controversies of all time.</p>
<p>Free event - Registration is required: <a href="https://www.eventbrite.com/e/2019-wids-dc-va-md-registration-tickets-54247497726" class="linkified">https://www.eventbrite.com/e/2019-wids-dc-va-md-registration-tickets-54247497726</a>​</p> <p>Join us for this local event that incorporates the Women in Data Science live stream, hands-on workshops , technical and vision talks by area women data scientists, and lots of networking opportunities.</p> <p>**Agenda**</p> <p>9:00 - 9:45 AM Registration, Networking, and Welcome</p> <p>9:45 - 10:45 AM Hands On Workshops (space is limited in each workshop so check back for topics and registration)</p> <p>11:00 - 11:30 Data Science for Social Good Discussion and Upcoming Data Challenge Announcements</p> <p>11:30 - NOON Three Minute Ignite Talks</p> <p>Using the Ignite talk model participants get three minutes to share 3 slides. The goal is to build the slides to ensure a "fast and fun presentation." This is an opportunity to share an interesting project or career trajectory. To be on the schedule you must submit your slides by March 1st.</p> <p>12:00-1:10 PM WOMEN in DATA SCIENCE @ STANFORD UNIVERSITY Livestream</p> <p>1:10 PM - 1:50 PM Lunch and more Networking</p> <p>2:00 PM - 3:15 PM Local technical talks and More Ignite Talks</p> <p>3:15 - 3:30 PM Wrap-up</p> <p>For more information, check out the website here: <a href="https://sites.google.com/nonlinearlearning.org/wids2019dc-va-md" class="linkified">https://sites.google.com/nonlinearlearning.org/wids2019dc-va-md</a></p>
<p>We're excited to co-host this event with American University featuring a lecture by Garrett Grolemund, Data Scientist and Master Instructor from RStudio.</p> <p>5:30 - 7 PM Reception in Kreeger Lobby<br/>7 - 8:30 PM Presentation in Abramson Family Recital Hall</p> <p>This event is free and open to the public. Please bring your friends and colleagues!</p> <p>The title of Garrett's lecture is: Data science &amp; the importance of reproducibility in research and how to accomplish this using R Markdown</p>
<p>We are excited to co-host this event with Data Visualization DC. Please visit their meetup page to learn more about data visualizaton resources in the DMV area (<a href="https://www.meetup.com/Data-Visualization-DC/" class="linkified">https://www.meetup.com/Data-Visualization-DC/</a>)</p> <p>Agenda:</p> <p>6:00-6:30 - Refreshments and Networking<br/>6:30-7:30 - "Interactive Data Visualization in R" by Gwynn Sturdevant<br/>7:30-8:00 - Viz and Tell featuring RLadies DC Members (see below for notes on how to volunteer!)<br/>8:00+ Data Drinks at Courthaus Social<br/>*****</p> <p>Interactive Data Visualization in R</p> <p>Gwynn will give an overview of the ggplot2 plotting package and four interactive R plotting packages that enhance existing ggplot2 graphics: gganimate, ggiraph, plotly, and shiny.</p> <p>Speaker Notes:</p> <p>Gwynn Sturdevant is a data scientist at Volanno who completed her PhD at The University of Auckland with Thomas Lumley.</p> <p>*****</p> <p>Viz &amp; Tell</p> <p>Get up in front of your peers and talk about a viz project you're working on for 5 minutes. This is a great opportunity to get feed back on your work and to practice your presentation skills in a safe space. If you are interested in presenting, then please email ([masked]) to let us know you want to talk.</p> <p>Speaker Notes:</p> <p>You're one of the coolest people in the DC area. You really like data visualization and you're excited to show your work to others. You're also a kind person who can provide constructive criticism to others.</p>
<p>SCHEDULE<br/>6:30 - 7:00 pm: Mingling, food and beverages<br/>7:00 - 8:30 pm: Presentation<br/>8:30 - ???: Data Drinks at Tonic (2036 G St NW, Washington, DC)</p> <p>ABOUT THE SPEAKER<br/>Dr. Simina Boca analyzes "omics" data, including metabolomics and genomics, and considers their downstream application in precision medicine. In particular, she developed novel computational and statistical methods for high-dimensional data analysis, led the first comprehensive metabolomic study for Duchenne muscular dystrophy, and contributed to several of the early exome sequencing projects of human tumors.</p> <p>Dr. Boca is an Assistant Professor at the Innovation Center for Biomedical Informatics (ICBI) and the Departments of Oncology and Biostatistics, Bioinformatics &amp; Biomathematics at the Georgetown University Medical Center (GUMC), as well as a member of the Cancer Prevention and Control Program at the Lombardi Comprehensive Cancer Center.</p> <p>Dr. Boca was a postdoctoral fellow in the Biostatistics Branch within the Division of Cancer Epidemiology and Genetics at the National Cancer Institute and holds a Ph.D. in Biostatistics and an M.H.S. in Bioinformatics from the Johns Hopkins Bloomberg School of Public Health and a B.S. in Mathematics from the University of Illinois at Urbana-Champaign.</p>
<p>Come taste beer with us! We wil try some beers, fill out a rubric to rate them, then analyze the data. You may bring a computer and you must be at least 21 to participate.</p>
<p>Event Description:</p> <p>RLadies are invited to a skill-building workshop to maximize our power as candidates in tech. Together we will:<br/>- walk through strategies for job hunting to boost the volume of offers<br/>- vet tools to assess compensation data<br/>- try out techniques to negotiate for a higher salary<br/>Women who are senior in the industry, mid-career, early-career, and entry-level will have the opportunity to learn, to share, and to practice together in a facilitator-led workshop setting. The goal of this event is to empower RLadies to leverage our competitive strengths and resources in pursuit of great jobs with great compensation.</p> <p>Facilitator Bio:</p> <p>Ellen Greer works in Product at Vistaprint Digital and is a former tech recruiter. In the IT field, she has led talent acquisition programs and consulted on job hunts both on the employer’s side of the table and the candidate’s. Ellen is a volunteer leader with Femex, a 16-week class that builds community and empowerment with women, trans, and non-binary individuals in DC.</p>
<p>Spend Friday night discussing Lab Girl: A story of trees, science, and love.</p> <p>Purchase the book here: <a href="https://www.amazon.com/Lab-Girl-Hope-Jahren/dp/1101873728" class="linkified">https://www.amazon.com/Lab-Girl-Hope-Jahren/dp/1101873728</a> - also available at some public libraries.</p> <p>Acclaimed scientist Hope Jahren has built three laboratories in which she’s studied trees, flowers, seeds, and soil. Her first book is a revelatory treatise on plant life—but it is also so much more.</p> <p>Lab Girl is a book about work, love, and the mountains that can be moved when those two things come together. It is told through Jahren’s stories: about her childhood in rural Minnesota with an uncompromising mother and a father who encouraged hours of play in his classroom’s labs; about how she found a sanctuary in science, and learned to perform lab work done “with both the heart and the hands”; and about the inevitable disappointments, but also the triumphs and exhilarating discoveries, of scientific work.</p> <p>Yet at the core of this book is the story of a relationship Jahren forged with a brilliant, wounded man named Bill, who becomes her lab partner and best friend. Their sometimes rogue adventures in science take them from the Midwest across the United States and back again, over the Atlantic to the ever-light skies of the North Pole and to tropical Hawaii, where she and her lab currently make their home.</p> <p>PS Please contact the organizer if you need support finding the book.</p>
<p>“The best job in America.” “The sexist job of the 21st century.” Data Scientist, a title that didn’t even exist before 2008, is now the position employers can’t hire enough of and job seekers strive to become. With this popularity comes more and more people vying for entry-level data science jobs. How can you stand out from the crowd and actually land your first job as a data scientist?</p> <p>Fortunately, our speaker, Emily Robinson, is writing a book, “Build a Career in Data Science,” on that very topic. Along with her co-author Jacqueline Nolis, she covers all of the non-technical skills you need to get and succeed in your first data science jobs. (<a href="https://www.manning.com/books/build-a-career-in-data-science" class="linkified">https://www.manning.com/books/build-a-career-in-data-science</a>)</p> <p>In this talk, Emily will cover what skills you need to start your career, the different types of data scientist jobs, and how to best position yourself based on your academic and work history. She’ll show you how to make not only a standout resume and cover letter but also a strong data science portfolio of projects and blog posts. If you’ve been struggling to break into the field or are even just curious about what the data science hype is all about, this talk is for you.</p>
<p>Spend Friday night discussing My Own Words by Ruth Bader Ginsburg.</p> <p>Purchase the book here: <a href="https://www.amazon.com/Own-Words-Ruth-Bader-Ginsburg/dp/150114524X/ref=asc_df_150114524X/?tag=hyprod-20&amp;linkCode=df0&amp;hvadid=312446862670&amp;hvpos=1o1&amp;hvnetw=g&amp;hvrand=17670116525013062619&amp;hvpone=&amp;hvptwo=&amp;hvqmt=&amp;hvdev=c&amp;hvdvcmdl=&amp;hvlocint=&amp;hvlocphy=9007813&amp;hvtargid=pla-404289631110&amp;psc=1" class="linkified">https://www.amazon.com/Own-Words-Ruth-Bader-Ginsburg/dp/150114524X/ref=asc_df_150114524X/?tag=hyprod-20&amp;linkCode=df0&amp;hvadid=312446862670&amp;hvpos=1o1&amp;hvnetw=g&amp;hvrand=17670116525013062619&amp;hvpone=&amp;hvptwo=&amp;hvqmt=&amp;hvdev=c&amp;hvdvcmdl=&amp;hvlocint=&amp;hvlocphy=9007813&amp;hvtargid=pla-404289631110&amp;psc=1</a>.</p> <p>My Own Words “showcases Ruth Ginsburg’s astonishing intellectual range” (The New Republic). In this collection Justice Ginsburg discusses gender equality, the workings of the Supreme Court, being Jewish, law and lawyers in opera, and the value of looking beyond US shores when interpreting the US Constitution. Throughout her life Justice Ginsburg has been (and continues to be) a prolific writer and public speaker. This book’s sampling is selected by Justice Ginsburg and her authorized biographers Mary Hartnett and Wendy W. Williams, who introduce each chapter and provide biographical context and quotes gleaned from hundreds of interviews they have conducted.</p> <p>Witty, engaging, serious, and playful, My Own Words is a fascinating glimpse into the life of one of America’s most influential women and “a tonic to the current national discourse” (The Washington Post).</p> <p>PS Please contact the organizer if you need support finding the book.</p>
<p>Informal gathering to discuss current projects.</p>
<p>It has been awhile since we have tried to do some consistent meetups. With the launch of the new BuffaloR meetup group we thought it would be nice to get the ball rolling with a few joint meetup to get all those interested in R together in one spot. We hope you can join us!</p> <p>Tentative schedule:<br/>- Meet &amp; great<br/>- Presentation by Scott Jackson on Shiny Apps for interactive plotting/graphing<br/>(back-up presentation by Lori Shepherd on Bioconductor)<br/>- Feedback for future events<br/>Location: Farber Hall UB South Campus Room G26</p>
<p>This is the second combo meeting between BuffaloR and RLadies!</p> <p>Current agenda:</p> <p>6:00-6:30 - Networking, introductions<br/>6:30-7:30 - Tentative: “Using R and Python Together Effectively”, Scott Jackson<br/>7:30-8:00 - Feedback, Q&amp;A</p>
<p>Come hang out with other members of R-Ladies RTP!</p> <p>All events are intended for women as leaders, mentors, members, and attendees. We are emphatically queer and trans friendly. Men are welcomed to attend *as guests* and must be accompanied by the R-Lady who invited them. This group was created so those who identify as women have a comfortable place to learn. If you would like to attend and feel excluded, please introduce yourself to an organizer.</p>
<p>This meetup will feature a few 5-minute presentations followed by a hands-on data visualization in R workshop. The workshop will focus on the ggplot2 package. You can read more about ggplot2 here: <a href="https://r4ds.had.co.nz/data-visualisation.html" class="linkified">https://r4ds.had.co.nz/data-visualisation.html</a>.</p> <p>If you're interested in giving a 5-minute presentation featuring some cool plots you've created in R using ggplot2, please message Sheila ([masked]) with your brief pitch.</p> <p>Agenda:<br/>• 6:00-6:30pm - Networking and Dinner<br/>• 6:30-6:45pm - Presentations by:<br/>- Dr. Zeydy Ortiz<br/>- TBD<br/>- TBD<br/>• 6:45-7pm - Set up (install R packages, etc.)<br/>• 7:00-7:50pm - Workshop<br/>• 7:50-8:00pm - Wrap up</p> <p>Dinner for this event (pizza and soda) will be provided by the UNC Department of Statistics and Operations Research, BIOS, Odum, and the Greg-Forest group in Math. We're grateful for their support!</p> <p>Parking information: There are various places to park around campus but the easiest for this event would be the large parking decks on Franklin Street. Find out more about parking at UNC here: <a href="https://goo.gl/maps/cJxt5SFC7j22" class="linkified">https://goo.gl/maps/cJxt5SFC7j22</a></p> <p>All events are intended for women as leaders, mentors, members, and attendees. We are emphatically queer and trans friendly. Men are welcomed to attend *as guests* and must be accompanied by the R-Lady who invited them. This group was created so those who identify as women have a comfortable place to learn. If you would like to attend and feel excluded, please introduce yourself to an organizer.</p>
<p>Join fellow R-Ladies in exploring a #tidytuesday data set! Work individually or with the group and end the evening by sharing your work.</p> <p>We will explore the first #tidytuesday dataset of March: Women in the Workplace! <a href="https://bit.ly/2tVRlEh" class="linkified">https://bit.ly/2tVRlEh</a></p> <p>Agenda:<br/>6:00 - 6:15 pm Meet and Greet<br/>6:15 - 7:40 pm #tidytuesday<br/>7:40 - 8:00 pm Discussion</p> <p>This is a great opportunity to meet other R-ladies, improve your R skills, and build up your GitHub/Twitter/data science portfolio!</p> <p>What is #tidytuesday?<br/>#TidyTuesday is a weekly social data project created by the R4DS online learning community that is focused on using tidyverse packages. A new dataset and accompanying article featuring an interesting plot is released on Github every Monday. The goal is to generate a copy of the original plot or create your own original approach!</p> <p>For more information on #tidytuesday, check out this blog post: <a href="https://bit.ly/2HqEsdt" class="linkified">https://bit.ly/2HqEsdt</a></p> <p>Who is this for?<br/>New and experienced R users alike! Let's learn together!</p> <p>What should I bring?<br/>Please bring your own laptop (fully-charged!) and all learning materials you want to use.</p> <p>Where will it take place?<br/>Cocoa Cinnamon Lakewood</p> <p>All events are intended for women as leaders, mentors, members, and attendees. We are emphatically queer and trans friendly. Men are welcomed to attend *as guests* and must be accompanied by the R-Lady who invited them. This group was created so those who identify as women have a comfortable place to learn. If you would like to attend and feel excluded, please introduce yourself to an organizer.</p>
<p>Maybe you've heard about reproducibility in research and that using R is a good way to achieve it. However, your still wondering, where do I start? How do I transition from Excel to R? How does R know where my data are? What is an R project? Where does reproducibility come in? This workshop is for you. We will assume some (very) basic knowledge of R and ask you to discuss how you work with R for your projects (and how you hope to improve your workflows). This workshop is great opportunity for us to learn tips and tricks from each other.</p> <p>R-Ladies RTP member, Dr. Alzbeta (Betka) Talarovicova, will show us her R project workflow while sharing useful tips on how to structure R projects and associated data. She will also share resources on best practices for experimental reproducibility. Some of the general topics she will discuss, include: Rprojects from RStudio, Rmarkdown, googlesheets, tidyverse packages, project file management, and more. You can download materials for this workshop via GitHub: <a href="https://github.com/Talqa/project_woRkflow" class="linkified">https://github.com/Talqa/project_woRkflow</a> .</p> <p>Light refreshments will be served.</p> <p>Parking: It's free to park outside SAS Hall after 5pm.</p> <p>All events are intended for women as leaders, mentors, members, and attendees. We are emphatically queer and trans friendly. Men are welcomed to attend *as guests* and must be accompanied by the R-Lady who invited them. This group was created so those who identify as women have a comfortable place to learn. If you would like to attend and feel excluded, please introduce yourself to an organizer.</p>
<p>Join fellow R-Ladies in exploring a #tidytuesday data set! Work individually or with the group and end the evening by sharing your work.</p> <p>We will explore The Stanford Open Policing Project data set available here: <a href="https://bit.ly/2H3DX73" class="linkified">https://bit.ly/2H3DX73</a>. You can read more about the data set and the project via that link too.</p> <p>Agenda:<br/>6:00 - 6:15 pm Meet &amp; Greet<br/>6:15 - 7:30 pm #tidytuesday<br/>7:30 - 8:00 pm Discussion + Celebration</p> <p>This is a great opportunity to meet other R-ladies, improve your R skills, and build up your GitHub/Twitter/data science portfolio!</p> <p>What is #tidytuesday?<br/>#TidyTuesday is a weekly social data project created by the R4DS online learning community that is focused on using tidyverse packages. A new data set and accompanying article featuring an interesting plot is released on Github every Monday. The goal is to generate a copy of the original plot or create your own original approach!</p> <p>For more information on #tidytuesday, check out this blog post: <a href="https://bit.ly/2HqEsdt" class="linkified">https://bit.ly/2HqEsdt</a></p> <p>Who is this for?<br/>New and experienced R users alike! Let's learn together!</p> <p>What should I bring?<br/>Please bring your own laptop (fully-charged!) and all learning materials you want to use. If you have time, please look at the data set beforehand and think about some questions you'd like to answer with it.</p> <p>Where will it take place?<br/>Cocoa Cinnamon Lakewood</p> <p>All events are intended for women as leaders, mentors, members, and attendees. We are emphatically queer and trans friendly. Men are welcomed to attend *as guests* and must be accompanied by the R-Lady who invited them. This group was created so those who identify as women have a comfortable place to learn. If you would like to attend and feel excluded, please introduce yourself to an organizer.</p>
<p>What's the event about?<br/>At this meetup, R-Ladies RTP member Joyce Cahoon will introduce us to blogdown, an R package for making websites in R. By the end of the session, you will have created a blogdown-powered website. To learn more about blogdown you can check out the free online book by Yihui Xie, Amber Thomas, and Alison Presmanes Hill here: <a href="https://bookdown.org/yihui/blogdown/" class="linkified">https://bookdown.org/yihui/blogdown/</a></p> <p>If you're interested in giving a 5-minute pop-up presentation featuring projects, plots, or code you've written in R, please message Sheila ([masked]) with your brief pitch.</p> <p>What's the schedule?<br/>6:00-6:15pm - Networking &amp; Refreshments<br/>6:15-6:30pm - Pop-Up Presentations<br/>6:30-7:45pm - Blogdown Workshop<br/>7:45-8:00pm - Wrap Up</p> <p>Who is this best suited for?<br/>New and experienced R users are welcome to join.</p> <p>What to bring?<br/>Please bring a fully charged laptop with you.</p> <p>Where to park?<br/>It's free to park outside SAS Hall after 5pm.</p> <p>All events are intended for women as leaders, mentors, members, and attendees. We are emphatically queer and trans friendly. Men are welcomed to attend *as guests* and must be accompanied by the R-Lady who invited them. This group was created so those who identify as women have a comfortable place to learn. If you would like to attend and feel excluded, please introduce yourself to an organizer.</p>
<p>Hi Los Angeles R-Ladies!</p> <p>We'll be having our next meetup on January 26th at 10am (note earlier time!) on campus at UCLA. In addition to an earlier time, we'll also be in a different location! However, it is very close to the previous one.</p> <p>We’ll be welcoming a guest speaker, RLady Gwynn Sturdevant, to talk about reducing bias in algorithms. This talk will give some examples of algorithms that are biased and the consequences that ensue. Unfortunately, developing equitable algorithms is mathematically complex, and there is no simple way to do so. We will discuss two suggested methods and their drawbacks and conclude with a discussion of ethical matrices.</p> <p>As always we welcome people regardless of gender, but our group is intended for those who identify with a gender minority (trans women, cis women, trans men, non-binary, other). We expect all attendees to abide by our Code of Conduct.</p> <p>See you there!<br/>Katie Leap<br/>[masked]</p> <p>Location details:<br/>We'll be in room 113 of Geffen Hall, located at the corner of Le Conte Ave and Tiverton Dr, across the street from Ralph's.<br/>The closest visitor parking is parking structure 18 (and it is much closer than parking structure 2 is to our regular meeting spot) and it is $3 per hour. There is also street parking on Hilgard Ave and the surrounding neighborhood. <a href="https://main.transportation.ucla.edu/campus-parking/visitors/pay-station-rates-and-locations" class="linkified">https://main.transportation.ucla.edu/campus-parking/visitors/pay-station-rates-and-locations</a></p>
<p>Hi Los Angeles R-Ladies!</p> <p>We'll be having our next meetup on December 7th at 11 am on campus at UCLA. This event will be a social one, but please bring your ideas for future meetups!</p> <p>Update: The wonderful folks at RStudio sent us a big bag of package hex stickers! Bring your laptop/water bottle/whatever and let's decorate! Also, we're going to try out a tidyverse-based murder mystery game put together by fellow RLady Vebashini Naidoo! You can check it out in advance here: <a href="https://github.com/sciencificity/reclues" class="linkified">https://github.com/sciencificity/reclues</a>.</p> <p>As always we welcome people regardless of gender, but our group is intended for those who identify with a gender minority (trans women, cis women, trans men, non-binary, other). We expect all attendees to abide by our Code of Conduct.</p> <p>See you there!<br/>Katie Leap<br/>[masked]</p> <p>Location details:<br/>We'll be in room 122 of Geffen Hall, located at the corner of Le Conte Ave and Tiverton Dr, across the street from Ralph's.<br/>The closest visitor parking is parking structure 18 and it is $3 per hour. There is also street parking on Hilgard Ave and the surrounding neighborhood. <a href="https://main.transportation.ucla.edu/campus-parking/visitors/pay-station-rates-and-locations" class="linkified">https://main.transportation.ucla.edu/campus-parking/visitors/pay-station-rates-and-locations</a></p>
<p>Welcoming Meet n' Greet to share the mission and aims of the group. We'll gather ideas to design engaging and enthusiastic events that build a supportive and inclusive community to practice programming and professional skills.</p> <p>rladies.org</p>
<p>Join other R-Ladies and Women in Tech at the last Concerts on the Square for some "Rockin' Rachmaninov".</p> <p>HOW TO FIND US</p> <p>Hilary, Kaitlin, and Nichole will lay out blankets and provide light snacks.</p> <p>If you walk to Candinas, and then cross the street to the Capitol lawn, you should run right into us.</p> <p>SCHEDULE</p> <p>The music starts at 7pm; we'll be there at 6:30pm, so feel free to come find us anytime after then!</p> <p>While the concert goes until 9pm, it's very much a come-and-go affair; feel free to leave early or arrive late.</p>
<p>Welcoming Meet n' Greet to share the mission and aims of the group. We'll gather ideas to design engaging and enthusiastic events that build a supportive and inclusive community to practice programming and professional skills.</p> <p>rladies.org</p> <p>Education Analytics will generously sponsor a round of drinks and appetizers for the evening.</p> <p>Education Analytics is a local non-profit that improves education policy through data-driven research.</p>
<p>Women in Tech has invited us to their 4th Annual Holiday Happy Hour!</p> <p>Drinks will be available to purchase, and WiT will provide some catered snacks. Bring your friends, partners and colleagues! This event is open to all genders.</p>
<p>El encuentro consistirá en una presentación y taller por Ana Escoto (profesora de la FCPYS de la UNAM; @aniuxa en Twitter).</p> <p>Esta plática/taller se centrará en cómo se puede analizar la Encuesta Nacional de Ocupación y Empleo (ENOE) con R.</p> <p>Se llevará a cabo en los nuevos salones de cómputo de la planta baja de la Biblioteca Daniel Cosío Villegas (<a href="http://biblio.colmex.mx" class="linkified">http://biblio.colmex.mx</a>). Es necesario que te registres previamente y que lleves una identificación oficial para el acceso.</p> <p>Queremos agradecer a El Colegio de México, especialmente al Centro de Cómputo y la BiblioColmex, por su vital ayuda en la organización de este evento.</p>
<p>En nuestro siguiente encuentro tendremos el gusto de contar con la presencia de Jenny Bryan, quien impartirá un taller sobre cómo escribir funciones.</p> <p>Jenny Bryan (PhD, UC Berkeley) es Ingeniera de Software en RStudio. Jenny es referente internacional en la comunidad de R, dentro de la cual es integrante ordinaria de la R Foundation, parte del Comité de Liderazgo de rOpenSci y forma parte del consejo asesor cientifico de BioConductor.</p> <p>El taller se impartirá en inglés, contando con ayudantes que pueden apoyar en español. Debes traer laptop con R (<a href="https://cran.r-project.org" class="linkified">https://cran.r-project.org</a>), RStudio (<a href="https://www.rstudio.com/products/rstudio/download/" class="linkified">https://www.rstudio.com/products/rstudio/download/</a>) y el paquete tidyverse (<a href="https://www.tidyverse.org/packages/" class="linkified">https://www.tidyverse.org/packages/</a>) instalado.</p> <p>Es muy importante que des RSVP únicamente si puedes asistir ya que los lugares son limitados. Si confirmas asistencia pero luego no puedes asistir, te pedimos por favor que dejes tu lugar disponible para otra persona.</p> <p>Agenda para el día:<br/>6:30 Bienvenida<br/>6:30-7:00 Networking<br/>7:00-8:30 Taller</p> <p>El evento será en las instalaciones de Kantar (donde está el edificio de Banregio), Kansas #20 col. Nápoles. También se puede entrar por Insurgentes Sur #863.</p> <p>Agradecemos a Kantar y a la AME por hacer este evento posible!!</p> <p>¡Nos vemos pronto!</p>
<p>Nuestro último encuentro del año será un convivio con retos, premios, comida y cerveza!!</p> <p>- Este evento es para todxs, no importa si eres principiante, intermedio o avanzado.</p> <p>- No olviden traer sus laptops con R instalado.</p> <p>Muchas gracias a Bedu por apoyarnos en este evento!!!</p>
<p>Neste meetup vamos (re)conectar o grupo, conversar sobre R e fazer um lindo exemplo de física para se inspirar!</p> <p>Palestra: Introdução ao R: tidyverse aplicado a dados de física!</p>
<p>Join R-Ladies STL for an introduction to GitHub and using it with R by local R-Lady Laura Brugger.</p> <p>We will meet in the Microsoft space on the 5th floor of the 4220 building at the Cortex (thank you Amy Hulse and Microsoft!) and will have a light breakfast sponsored by Net Effects (thank you Steph Grimshaw!). GitHub Octocat laptop stickers will be available for participants (thank you GitHub!). How can you possibly go wrong with free food, stickers, and learning!</p> <p>There is lots of free parking near the building, especially since it is the weekend. The Cortex Metro stop is about a 1-2 minute walk to the door of the building as well.</p> <p>Hope to see you there!</p> <p>~ R-Ladies STL</p>
<p>Come join us to learn the basics of the R coding language from Dr. Xiaoyan Wang of Washington University in St. Louis. Xiaoyan has been teaching R as part of the Brown School StatLab team and in her roles as teaching assistant for advanced epidemiology and biostatistics and instructor of the R skills course.</p> <p>More details forthcoming!</p> <p>Net Effects will provide lunch and we will be in the Microsoft space at the Cortex, which is right next to the the Cortex metro stop. If you are driving, there is plenty of free street parking or Microsoft will provide parking validation for the lot. Thanks to our awesome sponsors!</p>
<p>Hi everyone!</p> <p>We are looking forward to welcoming Professor Chris Prener to R-Ladies this week! Prof Prener will show us how to use several new R packages he has developed that allow users to access and work with messy data (including making maps!) pulled directly from the City of St. Louis public data sources.</p> <p>Space is once again provided by our generous sponsor Microsoft (thank you Amy Hulse!) and snacks will be provided by Net Effects (thank you Steph Grimshaw!).</p> <p>- R-Ladies STL</p>
<p>Come join us to kick off the third year of R-Ladies St. Louis! On October 10 from 6-8pm we will host a workshop on making graphics using base R led by Dr. Jo Etzel.</p> <p>Dr. Etzel is a research analyst in the Department of Psychological &amp; Brain Sciences at Washington University in St. Louis (<a href="https://sites.wustl.edu/ccplab/people/jo-etzel/" class="linkified">https://sites.wustl.edu/ccplab/people/jo-etzel/</a>).</p> <p>Space is provided by Microsoft (thank you Amy!) and food is provided by Net Effects (thank you Stephanie!).</p>
<p>Join us to learn the data management skills you need to handle messy data in R. Our presenter for this useful workshop is Crystal Lewis, the Director of Data Strategy for the Missouri Prevention Center at the University of Missouri.</p> <p>Check out some of Crystal's awesome data visualizations: <a href="https://public.tableau.com/profile/crystal.lewis#!/" class="linkified">https://public.tableau.com/profile/crystal.lewis#!/</a></p> <p>And her GitHub repositories: <a href="https://github.com/Cghlewis" class="linkified">https://github.com/Cghlewis</a></p> <p>Food provided by Net Effects (thanks Stephanie!).</p> <p>Hope to see you there!</p>
<p>The new year just has been started and we are getting together the schedule for the first six months.<br/>We would like to invite you to join our team meeting for discussions and plannings! Let us know what topics you would be interested in!</p> <p>We are also looking for additional motivated organisation team members, who would love to support our meet-up events!</p> <p>We are looking forward to meet up with you for a coffee and a chat about R, R-Ladies Berlin and the upcoming events!</p> <p>Best regards<br/>Christin<br/>on behalf of the organisation team of<br/>R-Ladies Berlin</p>
<p>Dear all,</p> <p>R-Ladies Berlin starts with a first exciting session in 2019. We are excited about our visitor in February R-Lady Riva (@rivaquiroga) from Chile.<br/>She is the founder of R-Ladies Santiago and R-Ladies Valparaíso in Chile. Riva is one of the chairs of LatinR Conference, and recently co-organized satRday Santiago. As a Linguist, she uses R for exploring how people use language in different settings and periods.</p> <p>*** About the session</p> <p>The session will have two parts. In the first one, Riva is going to share the story of R-Ladies in Latin and South America, one of the biggest and most active communities of R-Ladies Global. One of their main achievements has been the organisation of LatinR (latin-r.com).</p> <p>Then, she will run a Web Scraping workshop. This is a hands-on session, so bring your laptop with the following packages installed: `rvest`, `tidyverse` and `janitor`.</p> <p>We are looking forward to meet up with you soon at our host Babbel, generously providing a great location, pizza and drinks.<br/>You have an interesting topic in mind or you want to support R-Ladies Berlin - feel warmly invited to join us at our organisation team meeting on, Thursday Feb 7th!</p> <p>Any remarks and comments can be posted here at meetup or send via mail to [masked].</p> <p>Best regards,<br/>Christin</p> <p>On behalf of R-Ladies Berlin organiser team</p>
<p>Dear all,</p> <p>we are looking forward to another exciting hands-on session about text mining at R-Ladies Berlin in a couple of days. This time, WATTx welcomes us at their site in 'Hallesches Haus' at Tempelhofer Ufer and introduces us to their deep tech develop business.</p> <p>We are also very happy to welcome as a guest R-Lady Alison Holland.<br/>Alison works as a UX Researcher for a gaming company, GameDuell GmbH, in Berlin. In her daily routine she primarily uses R to quantify the feedback the company receives from users about the games, new features and prototypes.<br/>As a lot of our feedback comes in written form, text mining helps her and her colleagues to visualise and summarise the feedback in an effective and timely fashion.</p> <p>In the hands-on session Alison will focus on looking at the relationships between words by conducting frequency and sentiment analyses.<br/>Please get prepared prior the workshop and install the following R packages: dplyr, tidytext, janeaustenr, tidyr, igraph, ggraph.</p> <p>We are looking forward to an exciting evening and meet up with you!<br/>Meanwhile, have a look at Alison's blog: <a href="https://alisonhollandblog.wordpress.com/" class="linkified">https://alisonhollandblog.wordpress.com/</a></p> <p>At last - if you have any questions, topics that you would like to address in one of our sessions or any kind of feedback. Please get in touch with us and write us an e-mail [masked] or approach us at the event.</p> <p>See you soon!<br/>On behalf of the R-Ladies organisation team</p> <p>Christin</p>
<p>Dear Ladies,</p> <p>we would like to welcome you to another Hands-on session at Babbel. We would like to apologise for the short note cancelation and would like to catch up on the topic.</p> <p>Did you always wanted to be one who writes and shares content online in a blog? We have you covered. Come and bring your laptop - our organiser Christin is back for a short visit in Berlin and would like to guide you through a tutorial showing you how to setup your first blog using Hugo and Netifly.<br/>Please install or update the following packages: markdown &amp; blogdown.<br/>Instructions for the installation of Hugo is going to be posted in the comments soon. Stay tuned.</p> <p>In the second part of the meetup we would like to code with you altogether, running for the first time a section we call "RetrinkR". Here, we would like to share a piece of code on GitHub and invite you to work with us on it. After a short introduction we are going to spend not more than an hour to have fun coding, learning and playing with R altogether.</p> <p>If you have any chunk of code that you think that would be perfectly suitable - you are stuck and need a fresh view - get in touch with us here on meetup.</p> <p>Also in case of any other questions regarding R in general, you would like give a presentation or a R package that you would like to be introduced by us - please drop us a line at [masked].</p> <p>We are looking forward to see you soon!<br/>Best<br/>R-Ladies Berlin organisation team</p>
<p>satRday Berlin is an R-focused conference that will be held on Saturday June 15th, 2019. Our goal is to help and grow the local R user community. We want to make this event as accessible as possible - by not requiring time off work, by not costing more than a day's wages, and by being supportive to new and under-represented community members.</p> <p>More info: <a href="https://berlin2019.satrdays.org/" class="linkified">https://berlin2019.satrdays.org/</a></p> <p>* Please note that you have to register via the event website to attend</p>
<p>Hello!</p> <p>and welcome to a hands-on TidyTuesday session at WeWork.</p> <p>this time, we are going get creative in a smaller group with the newly released TidyTuesday data! (more info below: 1)</p> <p>PART I<br/>*****************************<br/>We will kick off with the TidyTuesday Screencast by David Robinson. He usually uses a lot of tricks that can be awesome for other day-to-day R struggles. If we want to we can take time in between to discuss some insights in more detail. Coding along is possible :)<br/>(more info below: 2)</p> <p>PART II<br/>*****************************<br/>Then we will get creative ourselves. It's our turn to play, expore and try out different ways to visualize the dataset and tell its story. It is possible to work in small groups, by yourself or just to watch others and chip in from time to time. All R-knowledge-levels are welcome.</p> <p>PART III<br/>*****************************<br/>Let's share and see what we came up with, what we struggled with and which solutions we found!</p> <p>We are looking forward to seeing you!</p> <p>Best<br/>R-Ladies Berlin</p> <p>*********************************************************************************<br/>Please install or update the following packages:</p> <p>install.packages("pacman")<br/>pacman::p_load(ggplot2, tidyverse, skimr)</p> <p>Stay tuned.<br/>*********************************************************************************</p> <p>More Info:<br/>1: github.com/rfordatascience/tidytuesday<br/>2: <a href="https://www.youtube.com/user/safe4democracy/videos" class="embedded">https://www.youtube.com/user/safe4democracy/videos</a></p>
<p>დღეს უამრავი რესურსი არსებობს მონაცემთა მოსაპოვებლად. არის ვებ გვერდები სადაც ღიად აზიარებენ მზა მონაცემთა ბაზებს. ასევე, ბევრი დიდი კომპანია უადვილებს მომხმარებელს მონაცემთა გამოყენებას მოსახერხებელი API-ებით. თუმცა, ვებ სივრცის დიდი ნაწილის მონაცემთა მადანი მაინც რჩება შედარებით ნაკლებად ხელმისაწვდომი. შეხვედრაზე ვისაუბრებთ R-ის rvest პაკეტის გამოყენებაზე ასეთ მონაცემთა მოსაპოვებლად. განვიხილავთ ამ პროცესის კომპონენტებს კონკრეტულ მაგალითზე.</p> <p>შეხვედრა გაიმართება ქართულ ენაზე და მას უმასპინძლებს ანა მამათელაშვილი. ანა არის მათემატიკოსი, მუშაობს მელბურნის უნივერსიტეტში და ძალიან უყვარს R, პითონი, ველოსიპედით სიარული და ბუნებრივი ენის დამუშავება.</p>
<p>R-ს შეხვედრები გრძელდება! ამჯერად დამწყებთა სემინარები ჩატარდება 28 მარტს, 11 და 18 აპრილს.</p> <p>28 მარტი - ნუცა აბაზაძე გაგაცნობთ R-ს საფუძვლებს<br/>11 აპრილი- ნატო ხალაძე ისაუბრებს რეგრესიულ ანალიზზე R-ს საშუალებით<br/>18 აპრილი- ნუცა აბაზაძე გაუძღვება შეხვედრას მონაცემთა ვიზუალიზაციაზე</p> <p>შეხვედრის ადგილი ჯეოლაბი, დასაწყისი 19:00 საათზე.<br/>შეხვედრებზე დასასწრებად R-ს ცოდნა არ არის აუცილებელი.</p>
<p>R-ს შეხვედრები გრძელდება! ამჯერად დამწყებთა სემინარები ჩატარდება 28 მარტს, 11 და 18 აპრილს.</p> <p>28 მარტი - ნუცა აბაზაძე გაგაცნობთ R-ს საფუძვლებს<br/>11 აპრილი- ნატო ხალაძე ისაუბრებს რეგრესიულ ანალიზზე R-ს საშუალებით<br/>18 აპრილი- ნუცა აბაზაძე გაუძღვება შეხვედრას მონაცემთა ვიზუალიზაციაზე</p> <p>შეხვედრის ადგილი ჯეოლაბი, დასაწყისი 19:00 საათზე.<br/>შეხვედრებზე დასასწრებად R-ს ცოდნა არ არის აუცილებელი.</p>
<p>First, Ildi Czeller will introduce her daily work: how does a typical project look like, what she uses R for, what kind of internal R packages they build and use. The second part will be more interactive: you will learn about packages to work with sheets: the readxl, googledrive and googlesheets(4) packages are useful to read and write data for collaboration with others who do not necessarily use R. It will be useful to bring your own laptop with R installed but you will be able to follow and learn without that as well.</p> <p>About Ildi: Ildi uses R for more than 4 years now in her work as a Data Scientist at Emarsys. She graduated as a mathematician and mostly learned programming on the job. She uses a lot of {shiny} and {data.table} and has experience in developing R packages for internal use. She finds it exciting to collaborate with people with different backgrounds. Ildi is a regular presenter at meetups and conferences and also teaches software engineering to high-school students in her free time.</p> <p>Ildi is in town for the upcoming DataFest Tbilisi conference where she will give a talk and a workshop.</p>
<p>Please join us at our January meetup at Fred Hutch (Arnold Building) to learn all about data structures in R and beyond. We will host two speakers, who will give us a background in the basics of data structures in R, and then give us an intro to R's S4 class (often used in Bioconductor packages). This event will be aimed at R-Ladies at all levels of experience.</p> <p>We will begin with socializing/networking at 6pm. Talks will begin at 6:30pm.</p> <p>Pizza will be provided.<br/>Please bring your laptop if you would like to participate in a coding exercise.</p> <p>Speakers:<br/>*new speaker*<br/>Rachael Tatman is a data scientist at Kaggle with a linguistics PhD she occasionally dusts off and gets some use from. Her professional interests include natural language processing, statistics, fairness accountability and transparency in machine learning and, of course, R.</p> <p>Chao-Jen Wong is a Bioinformatician at Tapscott Lab in Fred Hutch working on discovery of cure for Facioscapulohumeral muscular dystrophy. She is also an organizer of FredHutch Bioinformatics Interest Group (FHBIg.io). Prior to that, she was an R programmer and core member of the Bioconductor Project. She has a PhD in Applied Mathematics from Claremont Graduate University. When she is not working or studying, she enjoys cooking and hauling her kids around town with her electric bike.</p>
<p>Join us for a hands-on workshop that will introduce you to building a web app in R using Shiny taught by Megsie Siple.</p> <p>Please bring a laptop with Rstudio. Unfortunately, we do not have funding to provide lunch, so please bring lunch along or plan on purchasing it. There are plenty of nearby options and we will definitely have a lunch break!</p> <p>We expect this workshop to fill and have a waitlist, as we are aware many people have been wanting to learn Shiny! To make sure that as many people are able to attend and benefit as possible, we ask that if you RSVP yes, you are definitively planning to come. If your plans change, please do update your RSVP.</p> <p>Prereq: A basic knowledge of R. You absolutely do not need to be a high-powered R user to benefit from this workshop! If you have any questions or concerns, please feel free to send us a message. We are committed to making this accessible to as wide a range of R skills as possible.</p> <p>If you have an app you know you'd like to build, feel free to bring code, data, or an outline of what you want to do. This workshop is open to anyone who wants to expand their Shiny skills, but will be targeted towards people who are just starting out.</p>
<p>Come join us at our March R-Ladies Meetup!</p> <p>This month, we'll be celebrating and talking about the trans*, nonbinary, agender, genderqueer and female people who have gone before us and inspired us with their programming prowess.</p> <p>From Ada Lovelace to current mentors, we encourage you to bring fun stories, book recommendations, advice for mentors and mentees, and your own awesome accomplishments. (Stories and experiences of people of color are especially encouraged!) We'll be breaking out into small groups to share these stories and see where the conversation goes. Please don't feel you have to bring a story to participate; these will be loose, fun, and adaptable groups!</p> <p>The meeting will wind up with an rstudio::conf watch party, the lecture TBD. Please feel free to reach out if there's a particular topic you're interested in.</p> <p>Watch this space for further details as we get closer to the date.</p>
<p>Mark your calendars! This month we will hear from 2 people about their pathways to learning R and the great community-building that happened along the way. Redfin has kindly offered to host us in their space in downtown Seattle and will be providing pizza.</p> <p>Speakers:<br/>* Stefanie Butland, Community Manager at rOpenSci<br/>* Malisa Smith, Bioinformatician at University of Washington</p> <p>Stefanie Butland:<br/>I am the Community Manager for an organization of R practitioners...but I am not an R practitioner. For the first 1.5 years in my job, this was a feature, but lately it has felt more like a bug. In this talk I will introduce rOpenSci, our packages, and our system for transparent software peer review, and then share my story of starting to learn R by (not so) passive absorption of information and best practices from R-Ladies, rOpenSci, and the broader R world.</p> <p>Malisa Smith:<br/>Flow cytometry is commonly used by biologists to measure the abundance of specific molecules in millions of cells, while retaining information at the single-cell level. The resulting high-dimensional, high-throughput datasets have led to the development of unique software for analyzing flow cytometry data. I will talk about how I learned to use open source R packages for analyzing flow data, and I hope that my experience will help other people navigate the landscape of flow cytometry analysis tools and online software resources in general.</p>
<p>*RSVP HERE: <a href="https://www.meetup.com/Seattle-PyLadies/events/261516172/" class="linkified">https://www.meetup.com/Seattle-PyLadies/events/261516172/</a> Centralized RSVPs help the organizers plan, thank you for helping us!*</p> <p>Lots of folks in town for SSDS in Bellevue from 29 May - 1 June. Lovely time for a larger get together!</p> <p>5:00PM - 6:00PM - Social Hour w/ Food</p> <p>6:00PM - 7:00PM - The Ministry of Silly Talks!</p> <p>Please sign up to give a 5-minute lightning talk on whatever you want (non-technical talks welcome!) here: <a href="http://bit.ly/pyladies-ministry-of-silly-talks" class="linkified">http://bit.ly/pyladies-ministry-of-silly-talks</a></p> <p>7:00PM - 8:00PM - More Social Hour (optional speed networking round)</p>
<p>Join us for an R-Ladies social event at Brave Horse Tavern in South Lake Union. Connect and catch up with other R-Ladies members. We've planned out some great events for the rest of 2019, which we'll review at the social, and we'd love to hear your thoughts on future events.</p>
<p>Is it too sunny out? Are you missing the Seattle rain? Get your fix at an R-Ladies Lightning Talk Session! Lightning talks are informal, 5 minute talks on anything R, data science, or tech related. Examples are:</p> <p>* Your favorite R learning resource<br/>* How you use R at work<br/>* Your favorite R package</p> <p>We would love for you to be a speaker! Please sign up here: <a href="https://forms.gle/ZevMUKrNJLWdhkEu5" class="linkified">https://forms.gle/ZevMUKrNJLWdhkEu5</a></p> <p>For a wonderful reference from a previous speaker, please see Rachael Tatman's deck on How to Prepare &amp; Give A ⚡Lightning⚡ Talk:<br/><a href="https://docs.google.com/presentation/d/1nod6zgs1DQczpxWg_8opKS7gDmzWMmjMNWIxKzjhEWM/edit#slide=id.p" class="linkified">https://docs.google.com/presentation/d/1nod6zgs1DQczpxWg_8opKS7gDmzWMmjMNWIxKzjhEWM/edit#slide=id.p</a></p> <p>Many thanks to Sage Bionetworks for hosting us!</p> <p>Thank you and see you soon!</p>
<p>How do you review code from a data science project? Often, the goal of code review is to ensure that new code is free of bugs, efficient, well-documented, and maintainable. Code review is also an excellent opportunity to learn from others and get feedback on your work. However, practices vary widely from academia to industry and standards are mostly non-existent.</p> <p>At this event, we will hear from R-Ladies members about best practices for code review, how code review is conducted in their workplace, and then we'll practice code review in small groups.</p> <p>Speakers:<br/>Lauren Wolfe, Research Data Specialist at Fred Hutch<br/>Carrie Bennette, Principal Quantitative Scientist at Flatiron</p> <p>We are looking for R-Ladies members to share code that they'd like feedback on for the group exercise. Please comment in the event discussion thread if you have code you'd like to bring to the meeting.</p> <p>Pizza &amp; refreshments will be provided by Fred Hutch.<br/>Please feel free to bring children if childcare is unavailable.</p>
<p>Join other R-ladies for a low key social event! Chatting about R and non-R topics are equally welcome! :)</p> <p>Warning: Happy hour prices at Cactus actually end at 6pm, so feel free to show up a few minutes early to grab a discounted snack or drink. Organizers may just not be around until 6.</p>
<p>Data formatting hell? Machine learning horror? We’re looking for 5-10 minute presentations about your scariest data stories and how you solved them using R.</p> <p>We would love for you to be a speaker! Please sign up here: <a href="https://forms.gle/xaNbcku6PAnLRuQ19" class="linkified">https://forms.gle/xaNbcku6PAnLRuQ19</a></p> <p>For a wonderful reference from a previous speaker, please see Rachael Tatman's deck on How to Prepare &amp; Give A ⚡Lightning⚡ Talk:<br/><a href="https://docs.google.com/presentation/d/1nod6zgs1DQczpxWg_8opKS7gDmzWMmjMNWIxKzjhEWM/edit#slide=id.p" class="linkified">https://docs.google.com/presentation/d/1nod6zgs1DQczpxWg_8opKS7gDmzWMmjMNWIxKzjhEWM/edit#slide=id.p</a></p> <p>Many thanks to Sage Bionetworks for hosting us and providing pizza!</p> <p>Thank you and see you soon!</p>
<p>Kara Woo will present on project-oriented workflows in R. The workshop will cover the first two modules of the two-day What They Forgot to Teach You About R workshop (<a href="https://rstudio-conf-2020.github.io/what-they-forgot/" class="linkified">https://rstudio-conf-2020.github.io/what-they-forgot/</a>). This workshop is designed for experienced R and RStudio users who want to (re)design their R lifestyle. You'll learn holistic workflows that address the most common sources of friction in data analysis.</p> <p>You should take this workshop if: you've been using R for a while and you feel like writing R code is not what's holding you back the most. You've realized that you have more pressing "meta" problems that no one seems to talk about: You want to know how to divide your work into projects and scripts and how to share your work with others.</p>
<p>Come celebrate the end of the year with a hot chocolate happy hour at Kakao! ☕✨</p> <p>📅 Year in Review<br/>Let's explore what we covered this year, what awesome tools we learned about, and what amazing things our fellow R-Ladies have accomplished!</p> <p>👯 Organizer updates<br/>A few updates for next year, and a call for those who are interested to join us as organizers! It's a wonderful, fufilling experience.</p> <p>💡 Ideas for next year<br/>Is there an R/data science topic you wish you knew more about? Or something super cool that you did that you want to share? Let us know! We're always welcoming new ideas.</p> <p>⬢ Hex Competition voting<br/>Throughout the month of November, we are holding a hex design competition. Represent our city on a hex for all to see! Please submit your entries here! <a href="http://bit.ly/seahex" class="linkified">http://bit.ly/seahex</a></p> <p>Thank you for an amazing 2019 and we look forward to having fun with R together in 2020! 💜</p>
<p>A first meeting for the Fayetteville Arkansas R Ladies.</p> <p>Hopefully a time to meet, greet, and talk about some R basics.</p> <p>The meeting location is in Memorial Hall of the UARK campus. The meeting will be in room 242</p>
<p>Meet us in Memorial 314 on the University of Arkansas Campus</p>
<p>Hello R enthusiasts! We are hosting a meet and greet for those interested at Puritan! Come whenever you want, leave whenever you want. Bring a project, a question, a friend! We can't wait to meet everyone.</p>
<p>Reticulate c'est un R package utilise pour utiliser Python et R ensemble, <a href="https://rstudio.github.io/reticulate/" class="linkified">https://rstudio.github.io/reticulate/</a>. Camille Beluffi, data scientist chez CASC4DE, nous ferait un retour d'experience sur cette package.</p> <p>18:30 Accueil<br/>18:40 Presentation<br/>18:55 Discussion</p>
<p>FactoMineR est un package R dédié aux analyses factorielles. Durant ce meet up, Nancy Rebout va nous montrer comment effectuer une analyse en composantes principales (ACP) suivie d'une classification hiérarchique ascendante en utilisant FactoMineR sur une interface tout particulièrement "user friendly". Il suffit de cliquer sur les boutons ! Elle nous présentera également les deux packages liés à FactoMineR que sont Factoshiny et FactoInvestigate, deux packages qui valent la peine d'être connus et vous feront gagner un temps non négligeable.</p> <p>Nancy Rebout est doctorante en comportement animal et étudie plus spécifiquement la complexité des vocalisations chez différentes espèces de macaques. Nancy travaille également à mi temps dans une société privée où elle effectue de la modélisation dans le domaine de l'écologie.</p>
<p>Presentation par Chloé-Agathe Azencott<br/>Abstract :<br/>Deux patients présentant les mêmes symptômes n'ont pas nécessairement la même maladie, au sens ou celle-ci peut évoluer de manière très différente, et qu'un même traitement peut avoir des effets très différents. De ce constat est née la médecine personalisée, ou médecine de précision, qui vise à aussi adapter la stratégie thérapeutique aux spécificités des patients. Or ces différences entre patients<br/>s'expliquent en partie par des différences génomiques. Mettre en œuvre<br/>la médecine de précision requiert donc d'identifier, dans des jeux de<br/>données génomiques, les variables associées à la présence d'une maladie, à son évolution, ou à une réponse thérapeutique.</p> <p>Cependant, ces jeux de données comportent fréquemment largement plus de variables (pouvant aller jusqu'à la dizaine de millions) que<br/>d'échantillons (plus classiquement de l'ordre de quelques milliers), ce<br/>qui pose des problèmes tant calculatoires que statistiques.</p> <p>Dans cet exposé, je présenterai comment utiliser des connaissances a<br/>priori sur la structure des variables, qu'il s'agisse de contraindre la<br/>sélection de variables grâce à des réseaux biologiques, ou pour tenir<br/>compte des corrélations entre régions du génome, pour répondre à ces<br/>difficultés.</p> <p>Chloé-Agathe Azencott est chercheur au Centre for Computational Biology (CBIO) de Mines ParisTech, Institut Curie and INSERM. Elle est aussi co-fondatrice de Woman in Machine Learning and data Science de Paris.<br/><a href="https://cazencott.info" class="linkified">https://cazencott.info</a><br/><a href="http://wimlds.org/about-the-paris-team/" class="linkified">http://wimlds.org/about-the-paris-team/</a></p>
<p>L'objectif de cet exposé est de présenter à travers des exemples concrets des méthodes d'analyses exploratoires et de modélisations. De votre menu fast-food à la répartition des tâches domestiques, venez découvrir les secrets cachés des données !</p>
<p>Para iniciar el 2019, junto con el Club de Software Libre te proponemos explorar por las librerías que te pueden ayudar en la tarea de limpieza antes del análisis en un conjunto de datos.</p> <p>Esta tarea puede ser una pesadilla, sobre todo si se trata de grandes volúmenes de datos, sin embargo R tiene una serie de librerías que te podrán ser de utilidad.</p> <p>Será un taller práctico así que lleva tu computador.</p> <p>¡Te esperamos!</p>
<p>¡Hola R-Ladies!, después de tanto tiempo, retomamos con fuerza en este meet up con la participación de dos súper Ladies como son:</p> <p>Carolina Cañizares, que actualmente está realizando su master en Alemania y nos contará como usar SNAP (Stanford Network Analysis Project) con R para hacer redes o grafos y la base de datos Neo4j.</p> <p>Karen Calva de SEE, experta en analítica de datos, dará una máster class de introducción a Shiny.</p> <p>La agenda será la siguiente:</p> <p>• 18:00pm: Introducción de SEE y R-Ladies.<br/>• 18:15pm: Introducción a Redes<br/>• 19:00pm: Introducción a Shiny</p> <p>poco de comer/beber para conocernos.<br/>-----------------------------------------------------------------------<br/>Lugar: Auditorio 4, Torre 1 de la Pontificia Universidad Católica del Ecuador</p> <p>FECHA: 27 de junio de 2019.</p> <p>L@s esperamos!!!</p>
<p>Hola RLadies</p> <p>La calidad de los datos es un aspecto clave en cualquier aplicación en los diversos campos del conocimiento, a pesar de ello nos encontramos con un gran desafío tanto para generadores y usuarios al momento de seleccionar el conjunto de datos que cuenten con los mínimos requerimientos de calidad que deben tener los datos antes de ser publicados.</p> <p>En este contexto y para cerrar con broche de oro el 2019, hemos preparado un evento magistral en conjunto con la Universidad Central del Ecuador, en el cual participarán expertas en temas de calidad de datos y nos presentarán sus trabajos en el tema.</p> <p>Susana Cadena, recién llegada del exterior nos contará sobre último trabajo sobre el Marco de Referencia en calidad de datos</p> <p>Tania Gualli, nos contará sobre los paquetes que tiene R para limpieza de datos.</p> <p>Además, abordaremos temas de la importancia de calidad de los datos en las diversas aplicaciones en la ciencia de datos.</p> <p>No olvides llenar el siguiente formulario para saber sobre los temas que quieres tratemos el 2020.</p> <p><a href="https://forms.gle/TDrWgDoLa4hZj4Va8" class="linkified">https://forms.gle/TDrWgDoLa4hZj4Va8</a></p> <p>¡No faltes! ¡te esperamos!</p>
<p>AVISO IMPORTANTE: Por motivos ajenos a los organizadores de la reunión nos vemos en la necesidad de modificar la hora y el lugar de nuestra primer reunión. Nos vemos este sábado 24 de agosto a la 1 pm en Workósfera Coworking ubicados en Ave. 5 Oriente # 612, Barrio de los Sapos</p> <p>No olvides llevar tu laptop !!</p> <p>¿Conoces R? ¿Lo has utilizado o tienes ganas de aprender a usarlo? Únete a la primer reunión de R-Ladies Puebla, donde charlaremos sobre temas generales como la aplicación de R en diferentes ámbitos profesionales.</p> <p>El principal objetivo es formar una comunidad de apoyo para aprender a programar y a compartir conocimientos en R en un ambiente tranquilo y amigable.</p> <p>¿Qué haremos en esta reunión?</p> <p>-Bienvenida e introducción general acerca de R-Ladies Global</p> <p>-Breve introducción sobre R</p> <p>-Brainstorming para próximas reuniones.</p> <p>Unete con tu laptop. Aunque no es necesario saber R es conveniente instalar R (<a href="https://cran.r-project.org" class="linkified">https://cran.r-project.org</a>) y RStudio (<a href="https://www.rstudio.com/products/rstudio/download/" class="linkified">https://www.rstudio.com/products/rstudio/download/</a>) antes del taller.</p> <p>Ambos son gratis y este es tu primer paso para aprender R! Todos son bienvenidos!</p>
<p>Hola a tod@s! L@s invitamos a nuestra segunda reunión de R-Ladies Puebla la cual consistirá en un taller de R para principiantes. Nuestra reunión se llevará a cabo este viernes 4 de octubre en horario de las 16:00 a 18:00 horas en el Centro de Computo del Instituto de Física “Ing. Luis Rivera Terrazas” de la BUAP.</p> <p>En esta ocasión no es necesario que lleves tu laptop ya que el salón cuenta con computadoras disponibles para usar o si gustas puedes traerla.</p> <p>El centro de computo cuenta con capacidad para 35 personas, por lo que les agradeceremos confirmen su asistencia lo más pronto posible.</p> <p>L@s esperamos!</p>
<p>Hola a tod@s! L@s invitamos a nuestra tercer reunión de R-Ladies Puebla. En esta ocasión nos acompañará Elizabeth Valles, estudiante del doctorado en Ciencias Biomédicas del Instituto de Neurobiología de la UNAM. Eli impartirá un taller de introducción a los paquetes ggplot y tidyverse y nos platicará de su experiencia con R y la utilidad del programa en su campo de estudio. Nuestra reunión se llevará a cabo el sábado 23 de noviembre en horario de las 12:30 a 2:30 horas en la Workósfera Coworking - La Paz</p> <p>Recuerda traer tu laptop y aunque no es necesario saber R es conveniente instalar R (<a href="https://cran.r-project.org" class="linkified">https://cran.r-project.org</a>), RStudio (<a href="https://www.rstudio.com/products/rstudio/download/" class="linkified">https://www.rstudio.com/products/rstudio/download/</a>).</p> <p>Agradeceremos confirmen su asistencia lo más pronto posible.</p> <p>L@s esperamos!</p>
<p>Olá R-Ladies!! Sexta-feira, dia 08/03 haverá o primeiro meetup de 2019 do R-Ladies Salvador :) Diferente dos outros este terá outro formato, teremos lightining talks sobre Feminismo, Gênero e a Participação da Mulher na Academia e Ciências Exatas. Se você tem interesse em saber mais sobre estas questões, venha participar com a gente!! Será uma manhã de discussão muito bacana. Aguardamos você :)</p>
<p>R-Ladies is organizing HacktoberFest in collaboration with DigitalOcean and TechTalks<br/><a href="https://hacktoberfest.digitalocean.com" class="linkified">https://hacktoberfest.digitalocean.com</a></p> <p>Session Details/Agenda:<br/>10:00 AM - 10:15 AM : Registration<br/>10:15 AM - 10:30 AM: Intro to open source/Git<br/>10:30 AM - 10:45 AM: Intro to Hacktoberfest<br/>10:45 AM - 11:00 AM Workshop: how to contribute to open source<br/>11:00 AM - 11:30 AM 3 Demos (10 minutes for each demos by anyone interested in sharing their open source projects.)<br/>11:30 AM - 12:00 5 min for each community (to Present about the community)<br/>12:00 pm - 1:00 pm: Lunch<br/>1:00 pm - 5:30 pm: Start Hacking on HacktoberFest Issue Dev sprint (HackTime)<br/>5:30 pm: - 5:45 pm: feedback<br/>5:45 pm - 6:00 pm: Closing</p> <p>When: Oct 20th, 2019 (Sunday) - 10:00 AM to 06:00 PM (Please be on time)</p> <p>Where: 91springboard<br/>Sec -2 Noida, UP<br/>Near Noida Sector -15</p> <p>How to Reach Venue:<br/>- 900 m from Near Noida Sector -15<br/>Google Maps - <a href="http://bit.ly/91sbnoidasec2" class="linkified">http://bit.ly/91sbnoidasec2</a></p> <p>Note: Please keep your RSVP up to date.</p> <p>Open for Community collaboration. Please reach out us at [masked]</p>
<p>RLadies Delhi in collaboration with M&amp;S Research Hub is organizing a webinar on Quantile Estimation.</p> <p>Registration fees include the workshop material and data files.</p> <p>Material &amp; Codes Fees: 25$<br/>Please do RSVP first to avail the discount over the fees.</p> <p>For registration - <a href="https://ms-researchhub.com/home/quantile-webinar-registration-page.html" class="linkified">https://ms-researchhub.com/home/quantile-webinar-registration-page.html</a></p>
<p>RLadies Delhi in collaboration with M&amp;S Research Hub is organizing a 2 day workshop on Wavelet Applications in Economics &amp; Finance.</p> <p>Workshop Timings would be 1 PM - 5 PM on 19th and 20th Dec.</p> <p>Content of the workshop<br/>DAY-1<br/>1. Introduction to R-Programming Language and R-studio Interface<br/>2. The basic concept of Wavelet and its applications<br/>3. Decomposition and plotting of the series using the MODWT method.<br/>4. Wavelet Correlation<br/>5. Wavelet Covariance<br/>6. Cross-Wavelet Correlation</p> <p>DAY-2<br/>1. Continuous Wavelet Transform<br/>2. Cross Wavelet Transform<br/>3. Wavelet Coherence<br/>4. Partial Wavelet Coherence<br/>5. Introduction of MATLAB<br/>6. Application of Continuous Wavelet Transform, Wavelet Coherence, Partial and Multiple Wavelet Coherence (Using MATLAB)</p> <p>Each Participate will get certificate of enrollment.<br/>Registration fees include the workshop material and data files.</p> <p>If registered through RLadies you will get 30% off on registration fees.<br/>If more than 10 RLadies would register, discount would be 50%, please do RSVP first to avail the discount.</p> <p>For more details - <a href="https://ms-researchhub.com/home/conferences/wavelet-workshop.html" class="linkified">https://ms-researchhub.com/home/conferences/wavelet-workshop.html</a></p> <p>Last date of registration is 25th November 2019.</p>
<p>This month's meeting is dedicated to your own work! Join us on Friday, September 27th, to share the details and look for solutions to your R-related project.</p>
<p>Join us for the last R-Ladies meeting of the semester! Natália Araújo, who recently finished her PhD in Statistics at the University of Georgia, will give us an introduction to library(dplyr). EveRybody is welcome!</p>
<p>First Jakarta R-Ladies meetup is coming soon!</p> <p>R-Ladies is a worldwide organization whose mission is to promote gender diversity in the R community. So, if you want to get to know R better, come join us at Kudoplex Auditorium on 28th of July 2019 from 9 AM to 12 AM to discuss our favorite statistical programming language! We will first introduce the R-Ladies Global initiative and then proceed to discuss general knowledge on how to use R and some of its functions.</p> <p>To increase the better experience for each of the attendees, we're limiting our meet up to 50 persons, so sign up quickly before your spot is taken.</p> <p>This meetup is a free entrance, and we'll prepare some snacks, thanks to the support of Grab Kudo for providing us a comfortable place to gather. But you still need to bring your own laptop (BYOL).<br/>If you intend to come, please fill our survey to help us prepare for the event: <a href="https://forms.gle/Qvqo4ixh4K467jjv7" class="linkified">https://forms.gle/Qvqo4ixh4K467jjv7</a></p> <p>E-mail us at "[masked]" or tweet to "@rladiesjakarta" (<a href="https://twitter.com/RLadiesJakarta" class="linkified">https://twitter.com/RLadiesJakarta</a>) for any inquiries regarding this event!</p>
<p>Second Jakarta R-Ladies meetup is coming soon!</p> <p>For our second meetup, let's start with R absolute beginner mini workshop. Sunday, August 25, 2019 from[masked] WIB, at Multipurpose room - Gedung Seameo Recfon. Kompleks UI Salemba, Jln Salemba Raya no 6, Jakarta Pusat.</p> <p>We will start with a brief introduction of R, followed by basics on how to use R, and if we have some time left, we'll discuss a bit about some descriptive statistics. Don't forget to bring your own laptop and install R software in your computers.</p> <p>This meetup is a free entrance, thanks to the support of Seameo Recfon for providing the place &amp; WCS-Indonesia for providing us some snacks. But you are more than welcomed to bring some snacks and drinks to share with the other attendees!</p> <p>To make this mini workshop comfortable for all attendees, we're limiting the number of attendance up to 30 people, so hurry book your spot!</p> <p>E-mail us at "[masked]" or tweet to "@rladiesjakarta" (<a href="https://twitter.com/RLadiesJakarta" class="linkified">https://twitter.com/RLadiesJakarta</a>) for any inquiries regarding this event!</p>
<p>We're having out third meetup, real soon!</p> <p>Saturday, 21st September 2019 from[masked] WIB, at Multipurpose room - Gedung Seameo Recfon. Kompleks UI Salemba, Jln Salemba Raya no 6, Jakarta Pusat.</p> <p>We will start with introduction to Data Summary where we will discuss a little about how to check your data type, prepare subset, and how to extract descriptive statistic information from your data. Don't forget to bring your own laptop and have R software already installed in your computers.</p> <p>This meetup is a free entrance, thanks to the support of Seameo Recfon for providing the place &amp; WCS-Indonesia for providing us some snacks. But you are more than welcomed to bring some snacks and drinks to share with the other attendees!</p> <p>To make this mini workshop comfortable for all attendees, we're limiting the number of attendance up to 25 people, so hurry book your spot!</p> <p>E-mail us at "[masked]" or tweet to "@rladiesjakarta" (<a href="https://twitter.com/RLadiesJakarta" class="linkified">https://twitter.com/RLadiesJakarta</a>) for any inquiries regarding this event!</p>
<p>We're having out fourth meetup, real soon!</p> <p>Saturday, 26th October 2019 from[masked] WIB, at Mozilla Community Space Jakarta, Jl. Kuningan Bar. 1 No.26, Mampang Prapatan, DKI Jakarta 12710</p> <p>This time we will be venturing into visualization with R using base R and ggplot2. So get ready to create pretty plots!</p> <p>Don't forget to bring your own laptop and have R software already installed in your computers, and do email us to let us know if this is your first time using R so we can have a short introductory session.</p> <p>This meetup is a free entrance, thanks to the support of Komunitas Mozilla Indonesia for providing the place &amp; WCS-Indonesia for providing us some snacks. But you are more than welcomed to bring some snacks and drinks to share with the other attendees!</p> <p>To make this mini workshop comfortable for all attendees, we're limiting the number of attendance up to 25 people, so hurry book your spot!</p> <p>E-mail us at "[masked]" or tweet to "@rladiesjakarta" (<a href="https://twitter.com/RLadiesJakarta" class="linkified">https://twitter.com/RLadiesJakarta</a>) for any inquiries regarding this event!</p>
<p>We're having out fifth meetup, real soon!</p> <p>Saturday, 30th November 2019 from[masked] WIB, at Mozilla Community Space Jakarta, Jl. Kuningan Bar. 1 No.26, Mampang Prapatan, DKI Jakarta 12710</p> <p>Are you still confused about parametric and non-parametric tests? Assumption of normality, etc? This is the time to be enlightened!! Hahahaha...</p> <p>We will learn about the parametric (t-test, ANOVA, ANCOVA) and non-parametric tests (Wilcoxon, Kruskal Wallis), then Chi-squared and correlation tests, and how to run the analysis in R.</p> <p>Some IMPORTANT stuff:<br/>1. Our current space can have maximum 25 persons, so hurry up reserve your spot!<br/>2. Check previous meetups docs here: <a href="https://github.com/RLadiesJakarta" class="linkified">https://github.com/RLadiesJakarta</a><br/>3. E-mail us at [masked] or tweet to "@rladiesjakarta" for any inquiries regarding this event!<br/>4. Don't forget to have RStudio readily installed in your computer<br/>5. VERY IMPORTANT: If you're very new to R, we need you to go through these two documents BEFORE the meetup:<br/>1. Intro to R.pdf<br/>2. Starter Kit R.pdf<br/>You can download and read the descriptions here: <a href="https://github.com/RLadiesJakarta/starter-kit" class="linkified">https://github.com/RLadiesJakarta/starter-kit</a></p>
<p>Juniper Simonis runs DAPPER Stats, providing consulting services on research and data science (<a href="https://www.dapperstats.com/about/" class="linkified">https://www.dapperstats.com/about/</a>). They will talk to us about running a business/consultancy and will try to answer any questions you have!<br/>We will be hosted by the Collaboratory for Women Innovators (<a href="http://innovate.research.ufl.edu/the-hub/collaboratory/" class="linkified">http://innovate.research.ufl.edu/the-hub/collaboratory/</a>), located at The Hub at UF Innovate. We will also get some more information on this initiative and there will be an opportunity to interact with people from Collaboratory.</p>
<p>Meeting in the Foundation Room (upstairs)</p> <p>We'll be going over some basics and practicalities when it comes to data visualization (no coding), and then get our hands dirty with some examples of plots, graphs and maps in R. We cover a few of the basics of ggplot2 (R's plotting package that most people use), but will also show some more complicated things you could do.</p> <p>Feel free to bring your own code and plots to share with the group. We can socialize afterwards, or if you want to talk about your plot during the meeting, please shoot us an email (gainesville [at] rladies [dot] org) so we can slot you in.</p>
<p>Kristen Sauby will introduce the basics of R Markdown, talk about how it's great for the integration of text and code, is very flexible in terms of formatting, and is a great way to automatically number tables and figures and build a list of reference cited. No prior knowledge of R Markdown is necessary, and we'll have tips and tricks for those of all skill levels.</p>
<p>Let's make a package! Javi Rudolph will lead this session and hopefully convince you to make your own R package. A brief introduction to basic package structure coupled with some hands-on exercises and examples will lay the foundation for your package-building journey. Start small with a package for your data analysis, dream big. No prior experience with building R packages is necessary (actually, this is very intro level so if you've built a package before you probably know this). Basic familiarity with R language is helpful.</p>
<p>Have you ever created a script and wondered how to share it, publish or even keep track of its ownership? Join us for a discussion on how to make your code citable, share your data, manage various repositories and some insight into types of licenses. We will present you with some resources but we welcome all input, ideas and suggestions. We are hoping to create a collaborative file with various resources on this topic</p>
<p>~~~~~~ Date and Location have been updated! ~~~~~~~~~~~~~~~~~~~<br/>Meet us the "The Bull" downtown from 6-8pm</p> <p>Join us for a book club discussion of Reshma Saujani’s Brave, Not Perfect. Reshma is the founder and CEO of Girls Who Code. In her popular TED Talk, she advocates for girls to learn coding as a way to practice failure and overcome expectations of “perfection”. Her book Brave, Not Perfect expands on these ideas by describing how society promotes perfection, why we should be learning to be brave instead, and how to achieve this goal.</p> <p>Where to get the book:<br/>Alachua county library has a couple copies<br/>Used and ebooks start at around $12<br/>Free audiobook with an Audible trial through Amazon<br/>We’ve created a book swap here: <a href="https://docs.google.com/spreadsheets/d/1X36YPE4NVvW9JTZp6AxbAhlsfxra8ntdBsZIllkNC2Q/edit#gid=0" class="linkified">https://docs.google.com/spreadsheets/d/1X36YPE4NVvW9JTZp6AxbAhlsfxra8ntdBsZIllkNC2Q/edit#gid=0</a></p> <p>Not able to read the book? Here are some alternatives:<br/>Watch the TED Talk: <a href="https://www.ted.com/talks/reshma_saujani_teach_girls_bravery_not_perfection?language=en" class="linkified">https://www.ted.com/talks/reshma_saujani_teach_girls_bravery_not_perfection?language=en</a></p> <p>Read one of the many book reviews<br/>Just read the questions below and come with some ideas!</p> <p>Discussion questions to get us started:<br/>1. How does the goal of perfection operate as a barrier in your life?<br/>2. Coding is a great tool for practicing failure. What are some other tools you currently or could use?<br/>3. What are some good examples of bravery that you’ve seen in your field or career?</p>
<p>This month's meeting is a SOCIAL, co-hosted with UF Women in Science and Engineering (WiSE), the Ally Skills Network, UF Society of Women Engineers (SWE), the Society for Advancement of Chicanos/Hispanics and Native Americans in Science (SACNAS) and the Natural Resources Diversity Initiative (NRDI). This is an opportunity to make connections, talk work or research, and just have fun!<br/>We'd love to see you all to catch up; and hear from you what you would like us to focus on in the months ahead. If you've never been to one of our meetings, this your chance to come chat in an informal setting about R-Ladies.</p>
<p>Our December meeting will be extra special! Join us for this introductory workshop lead by Brittany A. Bankovich, from the Center for Spatial Analysis at FWC. After the workshop we will head downtown for an end of the year social! (At Big Top - walking distance from the library)</p> <p>During the workshop, Brittany will cover importing spatial data, projections and transformations, basic geometric operations (buffering, intersections, clipping, erasing, distance calculations), useful raster operations (reading them in, reclassifying, summarizing raster data using vector data), basic mapping using ggplot and ggmaps, and a brief demonstration of mapping using leaflet (can implement coarse-scale real-time data like weather).</p> <p>Make sure you have installed this packages before the meeting:<br/>## Geoprocessing tools<br/>library(sp)<br/>library(rgdal)<br/>library(rgeos)<br/>library(raster)<br/>library(dismo)</p> <p># Mapping tools<br/>library(maptools)<br/>library(plyr)<br/>library(ggplot2)<br/>library(ggmap)<br/>library(broom)<br/>library(maps)<br/>library(ggsn)<br/>library(sf)<br/>library(rasterVis)</p> <p>We will meet at the Foundation Room at the library, which means we need you to RSVP. The space is limited in this room. Thanks!</p>
<p>ATL R-Ladies have this awesome opportunity to collaborate with ATL Hawks Data Analytics! We will have the honor of having Sara Khan present us how to use sports dataset in R. We will also have repsentatives from ATL Hawks and special speakers discuss about how statistics and visualization are used in sports. This is a great networking event! Please bring a charged laptop and make sure you have R and RStudio downloaded, and ready to go! All R proficiency levels are welcome! Location will be at the ATL Hawks office. The address will only be given to those who RSVP. Please only RSVP if you plan to attend. A list of guests attending the meetup will be given to ATL Hawks office for security purposes.</p>
<p>R-Ladies Atlanta - you may be interested in attending the following 2-day workshop in October 2019.</p> <p>Register now for the “Welcome to the Tidyverse: An Introduction to R for Data Science” on October 14-15, 2019! These one-day workshops will cover the basics of data cleanup, analysis, and visualization. This workshop is aimed squarely at people with little or no previous programming experience.</p> <p>Register at</p> <p><a href="https://web.cvent.com/event/d99160b2-4b34-4513-a001-58e0e93e13e2/summary" class="linkified">https://web.cvent.com/event/d99160b2-4b34-4513-a001-58e0e93e13e2/summary</a></p>
<p>If you missed our Hawks meeting last time, and want to know more about sports Analytic. Sara Khan will be speaking at Emory this afternoon, Friday November 15</p> <p>Sara Khan will be giving a talk on Sports Analytics and R Shiny. She will lead an overview of how to integrate R with sports analytics. The talk will focus on integrating R Shiny to create an interactive dashboard on viewing Player Efficiency Ratings. A brief tutorial on R Shiny will also be included.</p> <p>Please RSVP here: <a href="https://emory.campuslabs.com/engage/event/5142090" class="linkified">https://emory.campuslabs.com/engage/event/5142090</a></p>
<p>This is the 14th monthly meeting of the R-Ladies Addis Ababa group. The agenda will be provided on request</p>
<p>Activities for the 1st Ethiopian National The Carpentries Day will be announced shortly</p>
<p>This is the 16th monthly meeting of the R-Ladies Addis Ababa group. The agenda will be provided on request.</p>
<p>This is the 17th monthly meeting of the R-Ladies Addis Ababa group. The agenda will be provided on request.</p>
<p>This is the 18th monthly meeting of the R-Ladies Addis Ababa group. The agenda will be provided on request.</p>
<p>This is the 20th monthly meeting of the R-Ladies Addis Ababa group. The agenda will be provided on request.</p>
<p>This is the 21st monthly meeting of the R-Ladies Addis Ababa group. The agenda will be provided on request.</p>
<p>This is the 22nd monthly meeting of the R-Ladies Addis Ababa group. The agenda will be provided on request.</p>
<p>This is the 23rd monthly meeting of the R-Ladies Addis Ababa group. The agenda will be provided on request.</p>
<p>This is the 24th monthly meeting of the R-Ladies Addis Ababa group. The agenda will be provided on request.</p>
<p>Sexta-feira, 31 de maio de 2019<br/>8h - O que é o R-Ladies? Com Kelly Lima e Paula Santos<br/>8h30 - GAMLSS e R por Fernanda de Bastiani da UFPE<br/>9h30 - Café<br/>10h - Minha primeira aplicação web com Shiny por Paula Santos<br/>11h - Relatórios Dinâmicos utilizando o Rmarkdown por Kelly Lima<br/>Evento gratuito! Inscrições: sig.ufla.br</p>
<p>Hello!</p> <p>The first ever RLadies, Denver meeting is next week, Tuesday, October 29th, at 7:30 pm at the Galvanize Platte location - 1644 Platte St, Denver, CO 80202.</p> <p>We will be discussing the vision for the new group.</p> <p>We’ll also have a presentation about a ggplot dialect, “slow ggplotting”, for teaching and learning the ggplot2 package, the beloved implementation of the layered grammar of graphics in R:</p> <p>One rather savvy and experienced R described his experience with ggplot2: “All good ggplots start like all good makefiles, by copying the last one you edited and deleting most of it.” I’d agree that it’s possible to get a lot done with good examples and copy paste. But is this ideal? How can we teach/learn/internalize ggplot and maybe get away from this copy/paste approach? Using some “slow ggplot” principles might help. The approach emphasizes incrementalism, clarity, and aesthetic mapping; and it deemphasizes geoms. While verbose and a little unorthodox, slow ggplotting might assist more users unlock the power of ggplot2. A short demo using this approach will be part of the talk. And we can of course discuss --- feedback on these ideas will certainly be welcome.</p> <p>Please feel free to pass along this announcement to more “RLadies”. We (Meghan Sposato and Gina Reynolds are co-organizing) hope many can make it to this first meeting and future meetings! 😊</p>
<p>Hello!</p> <p>The first ever RLadies, Denver meeting is next week, Tuesday, October 29th, at 7:30 pm at the Galvanize Platte location - 1644 Platte St, Denver, CO 80202.</p> <p>We will be discussing the vision for the new group.</p> <p>We’ll also have a presentation about a ggplot dialect, “slow ggplotting”, for teaching and learning the ggplot2 package, the beloved implementation of the layered grammar of graphics in R:</p> <p>One rather savvy and experienced R described his experience with ggplot2: “All good ggplots start like all good makefiles, by copying the last one you edited and deleting most of it.” I’d agree that it’s possible to get a lot done with good examples and copy paste. But is this ideal? How can we teach/learn/internalize ggplot and maybe get away from this copy/paste approach? Using some “slow ggplot” principles might help. The approach emphasizes incrementalism, clarity, and aesthetic mapping; and it deemphasizes geoms. While verbose and a little unorthodox, slow ggplotting might assist more users unlock the power of ggplot2. A short demo using this approach will be part of the talk. And we can of course discuss --- feedback on these ideas will certainly be welcome.</p> <p>Please feel free to pass along this announcement to more “RLadies”. We (Meghan Sposato and Gina Reynolds are co-organizing) hope many can make it to this first meeting and future meetings! 😊</p>
<p>Hello Denver Rladies!</p> <p>The theme of the December meeting is R use case presentations. For this event please plan on sharing a couple of slides about your own R use case, whether it is for personal or academic/professional projects. We will plan on everyone presenting their slides, saving some time for questions at the end of each presentation. I'm thinking each presentation would last 5-10 minutes (depending on how many attendees we have), making up a 2 hour total duration meeting. Because of the nature of this meeting please be sure to RSVP ahead of time through Meetup, and please add the topic of your presentation (and maybe a short summary) in the comments. Feel free to be creative here. There is no pressure to have something that is conference level polished, we are just hoping to showcase how R is being used by Rladies in the greater Denver area. Based on what is presented, we can hopefully brainstorm some additional topics of interest for future meeting workshops/presentations.</p> <p>Feel free to reach out with any questions and pass along this announcement to more “RLadies”. We (Meghan Sposato and Gina Reynolds are co-organizing) hope many can make it to this first meeting and future meetings! 😊 Unfortunately Gina cannot make this meeting, but we will hopefully record the meeting so that she can watch it another time. I am planning on setting up a Zoom call for this meeting for those Coloradans who would like to contribute and/or watch in remotely.</p> <p>Meghan</p>
<p>This is a casual meetup to discuss the direction of R-Ladies Dallas. We'll brainstorm locations for future meetups, how to structure meetings, and potential sponsorship opportunities. The more voices, the better! Please help us to make R-Ladies Dallas the best it can be. :)</p> <p>This meetup is primarily for women and other minority genders, with any level of R experience. However, all people are welcome. I look forward to seeing all of you!</p>
<p>Join R-Ladies Dallas for a fun workshop, in which we'll work on a project! Attendees are welcome to work collaboratively or independently. This is a great way to foster knowledge and build community with other R-Ladies.</p> <p>Schedule:<br/>10:00 - 10:30 Meet &amp; Greet<br/>10:30 - 12:00 Project (TBA)</p> <p>This meetup is primarily for women and other minority genders, with any level of R experience. However, all people are welcome. I look forward to seeing all of you!</p> <p>Note: We're still looking for a meetup space. Meanwhile, we'll meet at the Starbucks on Park Ln. Please reach out if you have any suggestions on meeting spaces for next time!</p>
<p>Join R-Ladies Dallas at Open Data Day, a great chance to meet people and use R.</p> <p>More information at <a href="http://meetu.ps/e/GqTJb/Bctx7/d" class="linkified">http://meetu.ps/e/GqTJb/Bctx7/d</a></p> <p>Get your free tickets at <a href="https://www.eventbrite.com/e/dfw-open-data-day-tickets-54305774032" class="linkified">https://www.eventbrite.com/e/dfw-open-data-day-tickets-54305774032</a></p> <p>I look forward to seeing all of you!</p>
<p>DevOps for Data Science or<br/>How to build a data pipeline that is not a giant house of cards built from random scripts that will all completely collapse the moment any input does anything weird (see <a href="https://xkcd.com/2054/" class="linkified">https://xkcd.com/2054/</a>)</p> <p>We’ve all heard the saying about the 80-20 rule in data science, that most of the project time is spent on wrangling the data in to correct format and only a fraction on the actual model building. The truth is actually even worse: there’s also the effort needed to make sure your model will not explode when left to run on its own in production – or to make sure you will notice when it does.</p> <p>That’s where DevOps comes in. In this talk Seija Sirkiä will introduce basic concepts like version control and CI/CD (continuous integration, continuous development) and attempt to do this from the perspective and to an audience of data scientists (maybe particularly those who use R and RStudio). This is not a lesson in exact tools but more a plea for a change in attitude. It is true that we are not software engineers and we don’t exactly produce software but a big part of our daily troubles are the same.</p> <p>Program:<br/>18.00 Welcome !<br/>18.10 Seija Sirkiä and DevOps for Data Science<br/>19.10 Mingle and questions<br/>20.00 Closing the event</p> <p>Place: Houston Analytics, Konepajankuja 1</p>
<p>Where did my ancestors live? What is my risk for coronary heart disease? Genomic data science involves analysing and interpreting the information in genome sequences by applying statistics and computer science. Genomics plays an important role in many endeavors towards personalized medicine and although consumer DNA testing is becoming a mainstream phenomenon, many questions still need to be answered before genome data can be widely applied in clinical care. Genomics produces huge volumes of data, and this meeting will dive into the different aspects and challenges of analysing it.</p> <p>Program:<br/>18.00 Welcome<br/>18.10 Nina Mars, Genomic data science<br/>19.10 Questions and mingle<br/>20.00 Closing the event</p>
<p>Join this session where we will build an R package, write unit tests for it, push it in a GitHub repository and integrate Travis CI with it!<br/>If time permits, we can discuss briefly at the end how to build a drat repository — aimed to host multiple R packages — using GitHub as a Web Server, and how to use Travis CI to automatically push updates of your packages into the drat repo.</p> <p>If you have never created an R package before, you may feel like this is too much information in a just short while. But don’t let this overwhelm you! The aim of this session is to introduce you to the relevant concepts, as we will touch upon the most important of them rather than diving into details. Even if you don’t fully understand what you are doing during the session, you will hopefully leave with a different perspective on how you can organise your code (for yourself or others) and gear up with the needed resources for the next time you want to reproduce these steps more seriously.</p> <p>Prerequisites:<br/>- Bring your own laptop!<br/>- (Optional) Rstudio installed; this is not necessary to produce R packages but it does make your life easier as the main package for R package development, devtools, is well integrated with RStudio.<br/>- The following R packages:<br/>- devtools, usethis and roxygen2<br/>- tidyverse, rlang<br/>- (optional) drat<br/>- ... if I have forgotten something, we will install it on the spot.<br/>- A GitHub account. I could list this also as optional, but if you want the full experience from this second half of the session, it’s good to reproduce the steps yourself. You are of course welcome either way.<br/>- A travis account (go to travis-ci.com and sign up with GitHub; this prerequisite assumes you already have a GitHub account)</p> <p>Program:<br/>18.00 Welcome<br/>18.10 Maria Kalimeri, "Writing sharable R code."<br/>19.30 Questions and mingle<br/>20.00 Closing the event</p>
<p>This workshop is designed for those who have some experience with R.<br/>We will be using Tidyverse to introduce importing, manipulating and visualizing data. The objective of the workshop is to teach the basic knowledge of Tidyverse packages such as dplyr, ggplot2.</p> <p>The Only requirement is that R and RStudio should be installed on your laptops.</p> <p>We’d like to thank Seriously Digital Entertainment to sponsor of June event of R-Ladies Helsinki.</p>
<p>Come and join R-Ladies community for drinks and chill hangout. BYOB!</p> <p>In case of bad weather, we have a contingency plan.</p>
<p>Welcome to learn how to NLP with R (partly) hands on!</p> <p>We'll go through<br/>- Basic text wrangling<br/>- Visualisation eg. wordclouds<br/>- Predictive model(s) (focus on Starspace)<br/>- How to actually use the model<br/>- Some examples</p> <p>You'll need your laptop, R and preferably RStudio installed if you want to follow hands on. Bring also your curious self!</p>
<p>During the workshop, we'll focus on thinking behind the ggplot2 package and its chart-making power. We will also focus on how to make visualisations that are easily digestible for various stakeholders and we'll cover a few tips &amp; tricks for quick "good" look of charts.</p> <p>Prerequisites:<br/>- RStudio and R installed on your machine<br/>- tidyverse, or at least ggplot2 installed (instructions can be found here: <a href="https://tidyverse.tidyverse.org/" class="linkified">https://tidyverse.tidyverse.org/</a>, you don't need the absolute latest version for this workshop).<br/>- have some basic knowledge of R (it's enough if you for example attended one of the R workshops with R Ladies or Mimmit Kodaa)</p> <p>We will aim to start at 6pm sharp, so please make sure to arrive on time!</p>
<p>During this workshop you will learn how to create interactive dashboards with Shiny. Dashboards are great to communicate and present your analysis and results.</p> <p>We will go through following subjects:<br/>- Overview and structure of a Shiny Dashboard<br/>- Adding dynamic content for your dashboard<br/>- Customize your dashboard with skin</p> <p>Prerequisites if you want to code by yourself:<br/>- R and RStudio installed on your machine<br/>- Packages shiny, shinydashboard, ggplot and tidyverse installed</p> <p>If you want to get familiar with the subject beforehand, check this tutorial:<br/><a href="https://rstudio.github.io/shinydashboard/index.html" class="linkified">https://rstudio.github.io/shinydashboard/index.html</a></p> <p>SPECIAL GUEST: Amanda Tilot from R-Ladies LA will be talking about academic figure making, how to reduce the time spent fussing with individual graph panels.</p>
<p>R-Ladies Cotonou invite ses nouveaux membres à une rencontre conviviale.<br/>L’agenda de cette rencontre se compose de trois grands points essentiels. Nous commencerons par présenter R-Ladies de façon globale puis plus spécifiquement notre groupe. Ensuite, nous aurons une petite session de questions-réponses. Le second point concernera le développement du groupe (planning, formations, système de mentorship, autres contributions et recherche de sponsors), les attentes des membres et l’initiation du networking parmi les membres. Pour finir, nous aborderons la planification des formations ou workshops des prochains mois à venir.<br/>La rencontre se terminera par un petit buffet à partager ensemble, confirmez votre presence s'il vous plait !<br/>Nous serons ravis de vous compter parmi les participants de ce meetup !!!</p>
<p>This workshop, led by Rebecca Henderson, will focus on learning to produce heatmaps and pointmaps using the Google maps platform. Heatmaps can be used to represent population density, per-capita income, social views, and many other geographically important measurements.</p> <p>There is some prep work to do beforehand if you'd like to actively follow along at the workshop:</p> <p>This workshop requires an API console key. Using Google Maps to a certain degree is free, but you must enable billing.<br/>Medium wrote a good article explaining the process to help you: <a href="https://medium.com/superkoders/ultimate-guide-to-google-maps-d86ad945636a" class="linkified">https://medium.com/superkoders/ultimate-guide-to-google-maps-d86ad945636a</a></p> <p>You'll also need to install the following packages if you don't have them already. You can do this by running the line</p> <p>install.packages(c("gdata", "tidyverse", "ggmap", "viridis"))</p> <p>If you have trouble, feel free to reach out to us at [masked].</p> <p>See you then! As usual, those who want to head with us to Milos' afterwards are welcome!</p>
<p>This month's meet up, led by Thea Knowles, will be an interactive tutorial on preparing to write a dissertation using RMarkdown and Bookdown.</p> <p>RMarkdown allows you to seamlessly integrate R code and narrative text as well as specify formatting options across multiple document output types (docx, pdf, html). Bookdown serves as a means to combining multiple RMarkdown files into a final book*.</p> <p>This workshop will feature a crash course on RMarkdown and will cover the following: reference management in RMarkdown, tips for a modular workflow, integrating templates (like Western's thesis templates) into RMarkdown/bookdown documents, and more.</p> <p>And yes, yes this can totally count as writing time.</p> <p>*"Despite the package name containing the word “book”, bookdown is not only for books. The “book” can be anything that consists of multiple R Markdown documents meant to be read in a linear sequence, such as course handouts, study notes, a software manual, a thesis, or even a diary." - Yihui Xie <a href="https://bookdown.org/yihui/bookdown/" class="linkified">https://bookdown.org/yihui/bookdown/</a></p>
<p>Join us for our last R-Ladies #LdnOnt meet up of the season!</p> <p>This meetup will be all about sitting down with new data! Jaky Kueper will walk us through common practices and procedures for data cleaning and exploration—essentially how to get data into a ‘usable’ form and start looking at what they contain. We will touch on working with multiple datasets (joins) and strategies for when you need to learn more about your data or where they come from. Previous experience with R is not required.</p> <p>There will be time for the group to skill-share and practice/troubleshoot; if you have new data that you are or will be working with this summer, bring it!</p> <p>Join us for snacks and drinks at Milos' down the street after the meet up. As always, all are welcome.</p> <p>Please note that there will be no summer R-Ladies sessions. Stay tuned for more details to come about future sessions.</p>
<p>We're back for another season of R-ladies in London, Ontario (#LdnOnt)! We’re very excited to have Dr. Cortney Hanna-Benson back to take us through some helpful introductory info! These workshops are always helpful for novice and experience users alike, as you sometimes come across tips you wish you had heard ages ago.</p> <p>In this step-by-step workshop, we will go over the basics of R and R Studio. This workshop is geared towards new R users, but there will also be opportunities to explore R beyond the basics at your own pace. It’s a good idea to come prepared with your technology and with R and R Studio downloaded on your device:</p> <p>- R download: <a href="https://www.r-project.org/" class="linkified">https://www.r-project.org/</a><br/>- RStudio download: <a href="https://www.rstudio.com/products/rstudio/" class="linkified">https://www.rstudio.com/products/rstudio/</a></p> <p>Helpful links:<br/>- R-Ladies LdnOnt website: <a href="https://rladiesldnont.netlify.com/" class="linkified">https://rladiesldnont.netlify.com/</a><br/>- R-Ladies LdnOnt Twitter: <a href="https://twitter.com/RLadiesLdnOnt" class="linkified">https://twitter.com/RLadiesLdnOnt</a></p>
<p>Join us on Tuesday, November 12 at 6 pm to learn more about data viz. They say a picture's worth a thousand words... Does that apply to figures?</p> <p>Well, we think it does. Olivia Daub will be giving us a crash course in the Grammar of Graphics, taking us from the basics of ggplot2 to some fancy vizmagic with 3D graphics. Newbies and veterans alike will come away with new tricks, so don't miss it!</p> <p>Come with R and R Studio installed, as well as the following packages: ggplot2, scatterplot3d, gvlma, rgl, car, rcmdr, and psych. Mac users may need to have xQuartz installed to render 3D graphics.</p> <p>We'll be in Room 2510 again at Elborn College (1201 Western Road). Parking is free after 4! This is our last meetup at Western, as we'll be back in our regular home at London Public Library starting next month (December 3rd)!!! We'll have signs up to guide you, just like last time. Detailed directions are on our website! (<a href="https://rladiesldnont.netlify.com/2019/10/17/2019-10-17-data-visualization-basics-to-3d/" class="linkified">https://rladiesldnont.netlify.com/2019/10/17/2019-10-17-data-visualization-basics-to-3d/</a>)</p> <p>Please RSVP here, and tweet (<a href="https://twitter.com/RLadiesLdnOnt" class="linkified">https://twitter.com/RLadiesLdnOnt</a>) us if you've got any questions or things you're dying to know that Olivia could try to touch on.</p>
<p>On Tuesday, December 3rd at 6 pm, the wonderful Jaky Kueper will be enlightening us on how to go on a data adventure.</p> <p>Jaky has taken us through a cleaning and exploration workshop before, and she’s awesome! Come and join us to learn some common practices and procedures for data cleaning and exploration — how to get data into a ‘usable’ form and start looking at what they can tell you. We will touch on working with multiple datasets (joins) and strategies for when you need to learn more about your data or where they come from. This workshop is appropriate for all skill levels!</p> <p>There will be time for the group to skill-share and practice/troubleshoot; if you have new data that you are or will be working with this summer, bring it! Important to remember is that we are back at our home at the London Public Library Central Branch! We’ll be in the Stevenson and Hunt A Room - we’ll have signs! Parking is free if you park in the Citi Plaza lot - entrance on King. Bring your parking pass to the library’s main service desk and tell them you’re with R-Ladies to get your parking validated.</p> <p>London Public Library - Central 251 Dundas St London, Ontario Canada N6A 6H9</p> <p>After we’ve filled our heads with cleaning and exploration knowledge, we’ll explore our way right over to our favourite Milos’ for great beer and better company. See you all very soon!</p>
<p>Join us as statistician Juliane Manitz takes us through the whys and hows of how R packages are built. She will also demo a few existing packages you can use to develop your own.</p> <p>Juliane is a statistician who has been using R since 2004. She contributed to five R packages of which she maintains three. She started developing her first R package about 10 years ago.</p> <p>Pizza will be served</p>
<p>ENTER THE TIDYVERSE<br/>Meredith Brown is a data scientist at Vertex Pharmaceuticals, where she applies NLP, machine learning, and advanced analytical methods to projects across the enterprise. She first learned R while doing her PhD in brain and cognitive sciences at the University of Rochester.</p> <p>She'll share some practical tips for project organization and documentation across different business contexts. We hope to spark informal discussion of data and code organization tools and principles, and to orient awareness toward resources like the Tidyverse Style Guide. The discussion will be aimed toward beginner and intermediate R users, but all perspectives are welcome.</p> <p>BRIEF TOUR OF DATAMAID<br/>Mena Morales is an Associate Director in Data Strategy and Solutions at Vertex Pharmaceuticals where she leads the DSS product and engineering team. She first learned R in graduate school while working on her PhD in neuroscience at Washington University in St. Louis.</p> <p>She'll give a brief tour of DataMaid (<a href="https://cran.r-project.org/web/packages/dataMaid/index.html" class="linkified">https://cran.r-project.org/web/packages/dataMaid/index.html</a>), a great package for the first steps of exploratory data analysis. The intent is just to give a quick introduction to the package so you'll know where to start when you're trying to see if it is useful for you.</p>
<p>We're finally doing another Shiny meetup! Marianna will walk through the basic elements of writing a Shiny web app, starting from the ground up. You will get more out of this if you know some R (we won't review it) but NO Shiny experience is required. Bring your laptops to follow along.</p> <p>Pizza will be served</p>
<p>Drop in and socialize with other R-Ladies over tasty ice cream (bring your wallet, though, we don't have a sponsor so you will have to buy your own treat). This event was small but very successful last year! No prep, no presentation, but lots of good company.</p> <p>Get in touch if you or your company can sponsor!</p>
<p>We're talking speed!</p> <p>As a developer rather than a statistician, one barrier that I see to R usage and evangelism is the perception (and reality) of R’s slow processing speeds. Whether you’re doing thousands of simulations, or just reading a large file into a workspace or app, waiting time matters. In this talk, I’m digging into what makes R slow, and what tools, packages, techniques and platforms are out there to boost R performance.</p> <p>Pizza will be served</p>
<p>R-Ladies Boston and WiMLDS Boston are coming together to host a data visualization challenge!</p> <p>For this event, you will join teams and work with local Boston data that we will provide that evening to create informative and creative data visualizations. Feel free to use whatever visualization tools you already love or would like to learn more about.</p> <p>Who can attend: We are inclusive to anyone who supports our cause regardless of gender identity or technical background.</p> <p>Schedule:<br/>6:00pm-6:30pm: Welcome and introductions<br/>6:30pm-8:00pm: Code your data viz!<br/>8:00pm-8:30pm: Present your data viz, vote for winners, and award prizes</p> <p>IMPORTANT:<br/>- This is a ticketed event and there are a limited number of spots. You must RSVP to the event on Eventbrite using this link: <a href="https://bit.ly/2kxue1F" class="linkified">https://bit.ly/2kxue1F</a><br/>- After you have a ticket, join or create a team using this Google Sheet: <a href="https://bit.ly/2kl56eB" class="linkified">https://bit.ly/2kl56eB</a><br/>- You must bring photo ID to the event.<br/>- Refreshments will be provided.</p>
<p>** WEBINAR LINK ADDED **</p> <p>RStudio and BMS have made it possible for folks to join us from home. My understanding is that this will be audio and slides only.</p> <p>joinwebinar.com<br/>Webinar ID:[masked]</p> <p>To ask questions, also join at www.slido.com with the code: #314159</p> <p>********<br/>This is a co-hosted event, so PLEASE ONLY RSVP TO ONE OF THE GROUPS (R-Ladies or userR)</p> <p>Never before, at the same place, at the same time...<br/>The entire Tidyverse team will present a series of lightning talks live here in Boston.</p> <p>Lightning talks from:<br/>* Mara Averick<br/>* Jenny Bryan<br/>* Gabor Csardi<br/>* Romain Francois (remote)<br/>* Jim Hester<br/>* Lionel Henry<br/>* Max Kuhn<br/>* Thomas Lin Pedersen<br/>* Davis Vaughan<br/>* Hadley Wickham</p> <p>Agenda:<br/>* 6:00 - 6:30 Networking (light food &amp; drinks)<br/>* 6:30 - 7:30 Lightning Talks<br/>* 7:30 - 8:00 Questions with Tidyverse Panel</p> <p>For those not familiar with the Tidyverse: The tidyverse is an opinionated collection of R packages designed for data science. All packages share an underlying design philosophy, grammar, and data structures. (tidyverse.org)</p> <p>Thank you to Bristol-Myers Squibb for the event space and to RStudio for sponsoring the food and drinks.</p> <p>Co-hosted by Boston useR Group &amp; R-Ladies Boston<br/>* www.meetup.com/Boston-useR/<br/>*www.meetup.com/rladies-boston/</p>
<p>December is a hard time to schedule things, so R-Ladies Boston has historically done a low-key December "pub nite". This year we're switching it up slightly and meeting at the Clover Food Lab in Kendall Square (right above the T station, in the Google building). This allows for purchase of tasty dinner options as well as beer and that holy grail, the Equally Attractive Non-Alcoholic Beverage (fancy teas and sodas!).</p> <p>Please bring money/card to pay for your food &amp; drink - purchase isn't required to attend but we hope you will support this business while we use their space.</p> <p>Pop in and say hi, or stay longer and workshop your ideas for events, projects, or R-Ladies talks (wink)</p>
<p>• Cronograma:<br/>09:00 - 13:00: Workshop - parte 1<br/>14:00 - 18:00: Workshop - parte 2</p> <p>• Palestrantes:<br/>Beatriz Milz; Bruna Garbes; Haydée Svab; Maria Marinho; Mariana Guilardi e Nathália Demetrio</p> <p>• Conteúdo: Conceitos intermediários de R<br/>Parte 1: manipulação de dados com dplyr, introdução a programação funcional com purr e visualização de dados com ggplot<br/>Parte 2: criação de gráficos com ggplot e elaboração de relatórios dinâmicos com rmarkdown</p> <p>• Infraestrutura:<br/>É necessário levar o notebook, com os softwares R e RStudio instalados.</p> <p>• Pacotes que precisam ser instalados: tidyverse, knitr e rmardown.</p> <p>• Importante saber:<br/>Código de Conduta (disponível aqui: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct</a>)<br/>Qualquer pessoa que violar ou houver previamente violado o código de conduta desta comunidade terá sua entrada proibida, será expulsa/o e/ou estará sujeita/o à ação que a pessoa organizadora achar mais apropriada, independente de inscrição no evento, ser membro do MeetUp ou qualquer outra condição.</p> <p>• R-Ladies é uma organização que promove a diversidade de gênero na comunidade da linguagem R. Nosso principal objetivo é promover a linguagem computacional estatística R compartilhando conhecimento, assim, quem tiver interesse na linguagem será bem-vinda, independente do nível de conhecimento. Nosso principal público-alvo são as pessoas que se identificam com o gênero feminino, portanto, mulheres cis, mulheres trans, bem como pessoas não-binárias e queer.</p> <p>• Localização:<br/>Loggi Tower, Alameda Santos, 2400 - Jardim Paulista, São Paulo - SP</p> <p>• Apoio para cessão do espaço e de coffee:<br/>Loggi</p>
<p>• Palestrantes:<br/>Alissa Munerato e Bruna Wundervald</p> <p>• Conteúdo:<br/>Extração de dados do Google Analytics + purrr</p> <p>• Cronograma:<br/>19h00 - 19h30: Networking e Apresentações (FIAP e RLadies)<br/>19h30 - 21h30: Extração de dados do Google Analytics + purrr</p> <p>• Infraestrutura:<br/>É necessário levar o notebook, com os softwares R e RStudio instalados.</p> <p>• Pacotes que precisam ser instalados: googleAnalyticsR, tidyverse, httpuv e purrr</p> <p>• Importante saber:<br/>Código de Conduta (disponível aqui: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct</a>)<br/>Qualquer pessoa que violar ou houver previamente violado o código de conduta desta comunidade terá sua entrada proibida, será expulsa/o e/ou estará sujeita/o à ação que a pessoa organizadora achar mais apropriada, independente de inscrição no evento, ser membro do MeetUp ou qualquer outra condição.</p> <p>• R-Ladies é uma organização que promove a diversidade de gênero na comunidade da linguagem R. Nosso principal objetivo é promover a linguagem computacional estatística R compartilhando conhecimento, assim, quem tiver interesse na linguagem será bem-vinda, independente do nível de conhecimento. Nosso principal público-alvo são as pessoas que se identificam com o gênero feminino, portanto, mulheres cis, mulheres trans, bem como pessoas não-binárias e queer.</p> <p>• Localização:<br/>FIAP Paulista - Maker Lab (próximo de Metrô Trianon-MASP)<br/>Av. Paulista, 1106 - 7º andar - Cerqueira César, São Paulo - SP,[masked]</p> <p>• Apoio:<br/>FIAP (www.fiap.com.br)</p>
<p>• Palestrantes:<br/>Haydée Svab, Bruna Garbes e Nathalia Demétrio</p> <p>• Cronograma:<br/>13h30 - 14h00: Networking e apresentações<br/>14h00 - 14h30: DataViz - o que é? Por que é importante?<br/>14h30 - 15h00: DataViz com bases do R<br/>15h00 - 15h30: coffee break<br/>15h30 - 16h00: DataViz economia<br/>16h00 - 16h30: DataViz transporte<br/>16h30 - 17h00: DataViz com GoT e plotly</p> <p>• Infraestrutura:<br/>É necessário levar o notebook, com os softwares R e RStudio instalados.<br/>Importante ter o pacote tidyverse (especialmente o ggplot2). É necessária a instalação dos programas e pacotes previamente.</p> <p>• Importante saber:<br/>Código de Conduta (disponível aqui: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct</a>)<br/>Qualquer pessoa que violar ou houver previamente violado o código de conduta desta comunidade terá sua entrada proibida, será expulsa/o e/ou estará sujeita/o à ação que a pessoa organizadora achar mais apropriada, independente de inscrição no evento, ser membro do MeetUp ou qualquer outra condição.</p> <p>• R-Ladies é uma organização que promove a diversidade de gênero na comunidade da linguagem R. Nosso principal objetivo é promover a linguagem computacional estatística R compartilhando conhecimento, assim, quem tiver interesse na linguagem será bem-vinda, independente do nível de conhecimento. Nosso principal público-alvo são as pessoas que se identificam com o gênero feminino, portanto, mulheres cis, mulheres trans, bem como pessoas não-binárias e queer.</p> <p>• Localização:<br/>Centro Ruth Cardoso: Rua Pamplona, 1005, 5º andar - Jardim Paulista São Paulo - SP,[masked]</p> <p>• Apoio:<br/>COLAB.RE - na cessão do espaço e fornecimento de coffee break</p>
<p>• Agenda:<br/>- Networking<br/>- Apresentação das atividades das RLadies<br/>- Fishbowl + Roda de conversa com o tema: "Como o R-Ladies é e pode ser uma porta de entrada/emponderamento para o mundo da tecnologia?"<br/>- Encerramento (com sorteio)</p> <p>• Importante saber:<br/>Código de Conduta (disponível aqui: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct</a>)<br/>Qualquer pessoa que violar ou houver previamente violado o código de conduta desta comunidade terá sua entrada proibida, será expulsa/o e/ou estará sujeita/o à ação que a pessoa organizadora achar mais apropriada, independente de inscrição no evento, ser membro do MeetUp ou qualquer outra condição.</p> <p>• R-Ladies é uma organização que promove a diversidade de gênero na comunidade da linguagem R. Nosso principal objetivo é promover a linguagem computacional estatística R compartilhando conhecimento, assim, quem tiver interesse na linguagem será bem-vinda, independente do nível de conhecimento. Nosso principal público-alvo são as pessoas que se identificam com o gênero feminino, portanto, mulheres cis, mulheres trans, bem como pessoas não-binárias e queer.</p> <p>• Teremos comes e bebes no local.</p> <p>Agradecemos à ThoughtWorks (<a href="https://www.thoughtworks.com/pt" class="linkified">https://www.thoughtworks.com/pt</a>) pela cessão do espaço e do coffee e ao CONRE-3 pela doação dos brindes \o/</p>
<p>!!! PLEASE NOTE -- CHANGE OF DATE -- Thursday, March 21st !!!</p> <p>I look forward to seeing you at the next MeetUp. We will dive into deep learning for the first time! Our presenter, Anjali Karimpil, is passionate about machine learning and I am very grateful that she kindly offered to share her knowledge and experience with us.</p> <p>Agenda<br/>6:30-7:00 Networking<br/>7:00-7:15 Welcome &amp; set-up (you'll have time to set up your laptop)<br/>7:15-9:00 Deep Learning in R, Anjali Karimpil</p> <p>Anjali is an Analytics professional with 6 years experience, and currently works at KPMG in Risk Consulting. She also loves all things food, books, and running. You can follow her on Twitter @anjalisebastian.</p> <p>Anjali's presentation will be divided into two parts. In the first part she will give an overview of Deep Learning, its applications and neural networks. In the second part, you will get a first-hand experience of building a neural network using R. Basic stats knowledge is assumed of the audience.</p> <p>This MeetUp will be hands-on and workshop-style. Bring your laptops if you want to build your first machine learning model in R.</p> <p>Venue<br/>Intercom<br/>Stephen Court<br/>18-21 St. Stephen's Green<br/>Dublin 2</p> <p>Huge thanks to Intercom for hosting our Meetup &lt;3</p>
<p>Our next meetup is on Monday, 24th June, kicking off at 6:30pm.</p> <p>The folks at NewsWhip are hosting us again at their offices on 47 Merrion Square. Massive thanks to NewsWhip for your on-going support!</p> <p>We will get stuck into random forests. I am delighted that Bruna Wundervald offered to give a talk-workshop.<br/>Bruna is a Ph.D. candidate in Bayesian Machine Learning at the Hamilton Institute, in the National University of Ireland Maynooth. She is a member and co-organiser of the Curitiba and São Paulo R-Ladies chapters in Brazil. She's also active in the worldwide R community. Her current work is focused primarily on developing new machine learning methods following the Bayesian paradigm, variational inference, and multivariate statistics, as well as implementing the methods in different programming languages. She's awesome!</p> <p>Agenda:<br/>18:30 Networking - ask another participant about their latest project in R and if they don't use R, ask why they'd like to learn R.<br/>19:00 Welcome, Jo Niec, R-Ladies Dublin<br/>19:05 Tech stack at NewsWhip, Damien Marshall, Head Of Engineering at NewsWhip<br/>19:15 An introduction to Random Forests using R, Bruna Wunderwald, NUI Maynooth<br/>This talk-workshop is suited to all levels of R. What you can expect from it?<br/>- an overview of the theory of tree based models: decision trees and random forests<br/>- you will learn how to implement and interpret random forests in R</p>
<p>Inscrições em <a href="https://goo.gl/63EBPN" class="linkified">https://goo.gl/63EBPN</a></p> <p>Buscando fortalecer a presença feminina no setor da tecnologia, a comunidade R-Ladies Belo Horizonte com apoio do Instituto Izabela Hendrix promove o curso de Introdução ao R, no dia 23 de fevereiro, a partir das 13h - na Sala Multimídia 4.</p> <p>O curso será ministrado pela Ana Carolina Fernandes (Mestranda em Estatística pela UFMG) e pela Numiá Gomes (Estatística pela UFOP).</p> <p>Com 3h de carga horária, quem participar do curso terá direito a um certificado de participação que será enviado por e-mail.</p> <p>R-Ladies é uma organização que promove a diversidade de gênero na comunidade da linguagem computacional estatística R compartilhando conhecimento.</p> <p>Dúvidas, sugestões, palestras... manda pra gente nos comentários ou pro e-mail do grupo: [masked].</p> <p>Mais informações, acesse rladiesbh.com.br</p> <p>Perguntas frequentes:</p> <p>O ingresso é gratuito?<br/>Sim. E a doação da ração é opcional, mas caso você leve, você terá direito a um brinde. :)</p> <p>Há exigências de apresentar identidade para entrar no evento?<br/>Não. A faculdade não exige identidade para acessar o prédio.</p>
<p>VAGAS ESGOTADAS! SEMESTRE QUE VEM TEM MAIS!</p> <p>Objetivo do curso:<br/>Ensinar a você os conceitos básicos do R, uma linguagem de programação popular para análise de dados.</p> <p>NÍVEL DE HABILIDADE: Principiante</p> <p>O que você vai aprender neste curso?</p> <p>• Introdução a Linguagem e ambiente de programação R<br/>• Explorando o RStudio<br/>• Definindo o diretório de Trabalho<br/>• Primeiros passos na Linguagem R<br/>• Instalando e carregando pacotes no R<br/>• Como obter ajuda na Linguagem R<br/>• Operadores Básicos, Relacionais e Lógicos<br/>• Tipos de variáveis<br/>• Vetores<br/>• Matrizes<br/>• Dataframes<br/>• Listas<br/>• Funções<br/>• Loops</p> <p>Este curso é para você?<br/>Se você é mulher (cis ou trans) e quer aprender a programar, de forma simples e, principalmente, com uma facilitadora mulher, vem miga que este curso é para você &lt;3</p> <p>O que você precisa levar?<br/>Se possível, levar um computador e filtro de linha. Antes de iniciar o curso você receberá um guia com as informações sobre o que precisa ser instalado e como fazer isso.</p> <p>Precisa ter algum conhecimento prévio?<br/>Não, o curso é para iniciantes, inclusive para quem nunca teve experiência com programação.</p> <p>Vai ter certificado?<br/>Vai sim, todo mundo que fizer o curso terá direito a um certificado de 6h.</p> <p>Quem é a facilitadora?<br/>Ana Carolina Dias - Mestre em Estatística pela UFMG | Membro do Stats4Good (Statistics for good) e Analista Estatístico.</p> <p>Carga horária:<br/>6 horas.</p> <p>Quando?<br/>24 de agosto, de 9h às 16h30.</p> <p>O curso é gratuito?<br/>Sim, mas pedimos a colaboração de 1kg de ração de gato ou cachorro.</p> <p>Ficou alguma dúvida?<br/>É só enviar para [masked] ;)</p>
<p>INSCRIÇÕES ESGOTADAS!</p> <p>Objetivo do curso:<br/>Melhore suas habilidades de análise de dados em R.</p> <p>NÍVEL DE HABILIDADE: Básica</p> <p>O que você vai aprender neste curso?</p> <p>• Importação de bases de dados – txt, csv, xlsx, arquivo online<br/>• Empilhando e juntando base de dados (joins)<br/>• Limpeza de base de dados<br/>• Manipulação de bases de dados<br/>• Loops Inteligentes<br/>• Estatísticas Descritivas<br/>• Utilização do operador pipe (%&gt;%)<br/>• Visualização de dados</p> <p>Este curso é para você?<br/>Se você é mulher (cis ou trans) e quer aprender a programar, de forma simples e, principalmente, com uma facilitadora mulher, vem miga que este curso é para você &lt;3</p> <p>O que você precisa levar?<br/>Se possível, levar um computador e filtro de linha. Antes de iniciar o curso você receberá um guia com as informações sobre o que precisa ser instalado e como fazer isso.</p> <p>Precisa ter algum conhecimento prévio?<br/>Sim, o ideal é que você tenha participado do nosso curso de Introdução ao R, ou tenha alguma noção do básico do R.</p> <p>Vai ter certificado?<br/>Vai sim, todo mundo que fizer o curso terá direito a um certificado de 6h.</p> <p>Quem é a facilitadora?<br/>Ana Carolina Dias - Mestre em Estatística pela UFMG | Membro do Stats4Good (Statistics for good) e Analista Estatístico.</p> <p>Carga horária:<br/>6 horas.</p> <p>Quando?<br/>14 de setembro, de 9h às 16h30.</p> <p>O curso é gratuito?<br/>Sim, mas pedimos a colaboração de 1kg de ração de gato ou cachorro.</p> <p>Ficou alguma dúvida?<br/>É só enviar para [masked] ;)</p>
<p>INSCRIÇÕES ESGOTADAS!</p> <p>Objetivo do curso:<br/>Aprenda a fazer gráficos e dashboards avançados no R.</p> <p>NÍVEL DE HABILIDADE: Avançado</p> <p>O que você vai aprender neste curso?</p> <p>• Gráficos Interativos<br/>• Dashboard Estático no R (Package flexdashboard)<br/>• Highcharter - htmlwidgets for R</p> <p>Este curso é para você?<br/>Se você é mulher (cis ou trans) e quer aprender a programar, de forma simples e, principalmente, com uma facilitadora mulher, vem miga que este curso é para você &lt;3</p> <p>O que você precisa levar?<br/>Se possível, levar um computador e filtro de linha. Antes de iniciar o curso você receberá um guia com as informações sobre o que precisa ser instalado e como fazer isso.</p> <p>Precisa ter algum conhecimento prévio?<br/>Sim, o ideal é que você tenha participado do nosso curso de Intermediário de R, ou tenha alguma noção intermediária de R.</p> <p>Vai ter certificado?<br/>Vai sim, todo mundo que fizer o curso terá direito a um certificado de 6h.</p> <p>Quem é a facilitadora?<br/>Ana Carolina Dias - Mestre em Estatística pela UFMG | Membro do Stats4Good (Statistics for good) e Analista Estatístico.</p> <p>Carga horária:<br/>6 horas.</p> <p>Quando?<br/>28 de setembro, de 9h às 16h30.</p> <p>O curso é gratuito?<br/>Sim, mas pedimos a colaboração de 1kg de ração de gato ou cachorro.</p> <p>Ficou alguma dúvida?<br/>É só enviar para [masked] ;)</p>
<p>Ciao tutti!<br/>Here we are back with our first event of the year.<br/>Our Speaker this time is Kristina Khvatova, Software Engineer at Softec.<br/>In this meetup she is going to show us what are networks and their use cases.<br/>At first she will introduce fundamental definitions providing practical examples and teach how to visualize networks. After that, she will talk about the main metrics used in networks analysis and will show how it can be implemented for networks analysis.<br/>At the end she will go through a community detection use-case for demonstrating how we can detect communities and make hypothesis about members of them.</p> <p>Level: Beginner, not specific knowledge is required.<br/>Please bring your laptop if you would like to go along with workshop. In this case you can download dataset from here: <a href="http://konect.uni-koblenz.de/networks/moreno_train" class="linkified">http://konect.uni-koblenz.de/networks/moreno_train</a><br/>All of the analysis are going to be done by igraph package, be sure to install it before coming:<br/>install.packages("igraph")<br/>Agenda:<br/>[masked]: Talk<br/>[masked] Q&amp;A<br/>[masked]: Aperitivo with pizza e networking<br/>Ps. The event is free as always :)<br/>Can't wait to see you on Monday and happy learning!</p>
<p>For the first time, in Milan, EY and RladiesMilan are gathering together holding a Women in Data Science conference. The goal of this event is to inspire &amp; educate data scientists regardless of gender and support women in the field.<br/>During this half day conference, we will bring data scientist professionals in industry &amp; academic together to hear about the latest trend in Data science and understand what are the different applications in both environments.<br/>WiDS Milan is an independent event organized by EY and RladiesMilan to coincide with the annual Global Women in Data Science (WiDS) Conference held at Stanford University and an estimated 150+ locations worldwide. All genders are invited to attend WiDS regional events, which features outstanding women doing outstanding work.</p> <p>The event is in English and the registration is required. For registration please visit the link: <a href="https://widsmilan.com/" class="linkified">https://widsmilan.com/</a><br/>Posts are limited!</p>
<p>Here we are with a new event before going to summer holidays and! to celebrate our 2nd birthday!<br/>This time we have a practical workshop to sharpen data wrangling skills, join us for exploring a Tidytuesday dataset that we are going to work in gorups or individually.<br/>What is Tidytuesday?<br/>TidyTuesday is a weekly data project with the goal to use your data processing skills to summarize and arrange data for making meaningful charts with ggplot2, tidyr, dplyr, and other tools in the tidyverse ecosystem. The intent of Tidytuesday is to provide a safe and supportive forum for individuals to practice their wrangling and data visualization skills. For more information on #tidytuesday, check out this blog post: <a href="https://bit.ly/2HqEsdt" class="linkified">https://bit.ly/2HqEsdt</a><br/>A new dataset is released on Github every Monday (<a href="https://github.com/rfordatascience/tidytuesday" class="linkified">https://github.com/rfordatascience/tidytuesday</a>) and anybody is welcome to explore data &amp;publish its results on Twitter.<br/>We will explore one of the latest dataset of tidytuesday: Women's World Cup, you can download the data here: <a href="https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-07-09" class="linkified">https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-07-09</a><br/>Agenda:<br/>19:00 - 19:15 pm Meet and Greet<br/>19:15 - 20:15 pm Tidytuesday<br/>20:15 - 20:45 pm Discussion<br/>This is a great opportunity to meet other other Rlovers, improve your Data science skills and build up your GitHub/Twitter/data science portfolio!<br/>Who is this for?<br/>New and experienced R users, are welcome!<br/>What should I bring?<br/>Bring your own laptop (fully-charged!) and all learning materials you want to use.<br/>Do to limitation of the seats, please RSVP Yes, in case you are sure that you can join us, thanks for your collaboration and Can't wait to see you all!</p>
<p>Here we are again with a new event &amp; hope you had a great summer holiday!<br/>As like previous workshop, we planned another tidytuesday event.<br/>It is a practical workshop to sharpen data wrangling skills, we are going to explore a Tidytuesday dataset in groups or individually.<br/>What is Tidytuesday?<br/>TidyTuesday is a weekly data project with the goal to use your data processing skills to summarize and arrange data for making meaningful charts with ggplot2, tidyr, dplyr, and other tools in the tidyverse ecosystem. The intent of Tidytuesday is to provide a safe and supportive forum for individuals to practice their wrangling and data visualization skills. For more information on #tidytuesday, check out this blog post: <a href="https://bit.ly/2HqEsdt" class="linkified">https://bit.ly/2HqEsdt</a><br/>A new dataset is released on Github every Monday (<a href="https://github.com/rfordatascience/tidytuesday" class="linkified">https://github.com/rfordatascience/tidytuesday</a>) and anybody is welcome to explore data &amp; publish its results on Twitter.<br/>Agenda:<br/>19:00 - 19:15pm Meet and Greet<br/>19:15 - 20:15pm Data exploration &amp; analysis<br/>20:15 - 20:45pm Discussion<br/>This is a great opportunity to meet other other data lovers, improve your Data science skills and build up your GitHub/Twitter/data science portfolio!<br/>Who is this for?<br/>New and experienced data scientists are welcome! You are free to use other programming languages such as Python.<br/>What should I bring?<br/>Bring your own laptop (fully-charged!) and all learning materials you want to use.<br/>Do to limitation of the seats, please RSVP Yes, in case you are sure that you can join us, thanks for your collaboration and Can't wait to see you all!</p>
<p>We are kicking off this year with an introduction to Github by Joyce Robbins. This is a hands on workshop so please bring your laptop to follow along and please be prompt to make sure the workshop kicks off on time:)</p> <p>About Joyce:<br/>Joyce Robbins, Ph.D., is Lecturer in Discipline in the Statistics Department at Columbia University, where she specializes in data visualization. She is a member of the R Forwards (R Foundation taskforce on women and other under-represented groups) teaching team, and elected to serve as publications officer of the Statistical Graphics Section of the American Statistical Association Section beginning in 2018. Robbins received her doctorate in sociology from Columbia University, her M.A. in sociology and anthropology from Tel Aviv University and her B.S.E. in civil engineering and operations research from Princeton University.</p>
<p>We’ll be reading Algorithms to Live By by Brian Christian and Tom Griffiths.</p> <p><a href="https://www.rizzolibookstore.com/algorithms-live-computer-science-human-decisions-0" class="linkified">https://www.rizzolibookstore.com/algorithms-live-computer-science-human-decisions-0</a></p>
<p>We are excited this month to host two very active R-Ladies from our chapter: Amanda Dobbyn and Maryam Jahanshahi!</p> <p>Amanda's talk will focus on the package 'drake'. `Drake` is a package designed to make designing and executing analysis pipelines easier and more reproducible. In this talk Amanda will run through an example of how `drake` can be used to manage an analysis workflow.</p> <p>Amanda's Bio:<br/>Amanda is a data scientist at Earlybird Software, a cloud application and data consulting company. She was previously an organizer of R-Ladies Chicago before escaping that frozen tundra for this one.</p> <p>Maryam's talk will focus on designing and executing text processing pipelines. In this talk, Maryam will share lessons and takeaways on text processing and data management for natural language processing.</p> <p>Maryam's Bio:<br/>Maryam is a Research Scientist at TapRecruit, a software startup that helps companies improve the fairness and efficiency of their recruiting processes. In a past life, Maryam was a cancer biologist and a data journalist. In a future life, Maryam hopes to be a carpenter!</p> <p>Agenda:<br/>6-6:30: Arrival and networking<br/>6:30-7:30 Talks<br/>7:30-8: Networking</p>
<p>Sebastian's workshop will focus on R package development from the ground up. We will cover package structure, set-up, creating functions, documentation, testing, dependencies, sharing the package with others, package vignettes, hex stickers, and other methods. An example package will be developed during the workshop so attendees can follow along and create their own.</p> <p>Sebastian is a data scientist at Vroom, an ecommerce start-up that focuses on selling used cars that are delivered to your door. Previously, Sebastian was doing research on cancer genomics as a postdoc at Yale University. He has also been a strong advocate for R-Ladies and is an experienced CRAN package author.</p> <p>Emily Zabor and Erin Grand are also going to be serving has TAs for this workshop.</p> <p>Erin Grand works as a Data Scientist at Uncommon Schools where she maintains two R packages. Prior to Uncommon, she worked as a Data Scientist at Crisis Text Line and a software programmer at NASA. In the past, Erin researched star formation and taught introductory courses in astronomy and physics.</p>
<p>We are going to be discussing the following book :<br/>How not to be wrong by Jordan Ellenberg.</p> <p>Looking forward to seeing all of you there.</p>
<p>We are hosting a very special event - lightning talks from the R-Ladies community! Come out to hear a variety of R &amp; Data Science talks.</p> <p>Agenda:<br/>6:15-6:45: Food &amp; networking<br/>6:45-6:50: Kick-off by our host<br/>6:50-7: General Announcements<br/>7-8:30: Lightning talks<br/>8:30-9: Networking</p> <p>Names must be given to building security by 6/18, so RSVP by Tuesday to ensure a spot! (All names on the waiting list by this date will be given to building security.)</p> <p>The lobby to OppenheimerFunds (now Invesco) is located on the second floor of Brookfield place, near the upstairs food court. If you use the entrance on Liberty St, use the escalators to go upstairs and ask for the entrance to Invesco.</p>
<p>Come hang out with R-Ladies at the Royale Bar outdoor patio for an afternoon social full of fun, board games, and splendid R conversation!</p> <p>Drinks and food will be available for purchase. Collaborative, multi-player and two-player table games will be provided, but feel free to bring your own!</p>
<p>We are going to discuss "Data Visualization: A Practical Introduction" by Kieran Healy.</p> <p>Looking forward to seeing all of you there!</p>
<p>We are going to discuss "Invisible Women: Data Bias in a World Designed for Men" by Caroline Criado Perez.</p> <p>Support our host by buying this title from Rizzoli: <a href="https://www.rizzolibookstore.com/invisible-women-data-bias-world-designed-men" class="linkified">https://www.rizzolibookstore.com/invisible-women-data-bias-world-designed-men</a></p> <p>Looking forward to seeing all of you there!</p>
<p>To close out 2019, we are thrilled to welcome Jenny Bryan for our R-Ladies New York end-of-year celebration and social! In the potluck tradition of year-end socials past, you are welcome to bring a dessert. Thank you to WarnerMedia for hosting us.</p> <p>Agenda:<br/>6:30-6:55 pm Introductions and socializing<br/>6:55-7 R-Ladies New York Announcements<br/>7-7:10 Welcome from WarnerMedia<br/>7:10-7:45 Jenny Bryan on debugging and troubleshooting<br/>7:45-8:30 Socializing and networking</p> <p>Jenny Bryan is a Software Engineer and Data Scientist at RStudio and an Adjunct Professor of Statistics at the University of British Columbia with a Ph.D. in Biostatistics from the University of California, Berkeley. She works on a team that develops open source R packages to make data science faster, easier and more fun.</p> <p>***IMPORTANT NOTE: WarnerMedia health has a strict building security policy and you will be required to show government ID to enter the building. Please RSVP with your first and last name as it appears on your ID (or email [masked] with your full name and as it appears on Meetup by Monday, December 2nd). Even if your registration is confirmed, you may not be able to enter the building if we do not have your full name in advance.***</p>
<p>We'll begin with pizza, introductions, and planning for future meetings. All are welcome! The second half of the meeting will offer a tutorial in R and programming basics; this portion of the meeting will be most interesting to those who want to get started in programming and R; however, experienced users are also welcome to stay and participate. Bring your laptop to install R and follow along.</p>
<p>***NOTE: RSVP is on Eventbrite for this event! Here's the link: <a href="https://www.eventbrite.com/e/all-the-ladies-in-tech-happy-hour-winter-edition-tickets-53621168358" class="linkified">https://www.eventbrite.com/e/all-the-ladies-in-tech-happy-hour-winter-edition-tickets-53621168358</a>***</p> <p>This is a quarterly mega happy hour / networking mixer with the goal of connecting women in tech, data, and code in ATX.</p> <p>This time around, we'll have Adelbert's Brewery all to ourselves -- thanks to the folks there for opening especially for this happy hour!</p> <p>We're also partnering with Dress for Success Austin to do a drive for shoes and purses at this event -- if you have any extra shoes or purses, please consider bringing them to help women who are in need!</p> <p>This event is cohosted by these groups (please reach out if you know of a group that would like to co-host with us!):<br/>+ R-Ladies Austin<br/>+ Women in Data Science<br/>+ PyLadies ATX<br/>+ Women Who Code<br/>+ ChickTech Austin<br/>+ Austin Women in Technology<br/>+ Girl Develop It Austin</p> <p>Can't wait to see you all there!</p>
<p>The folks at RStudio are planning an R-Ladies event to directly follow the closing remarks at rstudio::conf. This event will be open to all R-Ladies (non-conference attendees are welcome!). This will be a great chance to meet and network with R-Ladies from across the country -- hope to see you there!</p> <p>We'll kick off at 6pm on Friday, January 18th in room Park View A (7th Floor) at the Fairmont Hotel.</p> <p>For those visiting from out of town, no need to RSVP here — we’ll see you at the happy hour!</p>
<p>We're celebrating Galentine's Day with a combined meetup for women in data -- co-hosted by R-Ladies, PyLadies, and Women in Data Science!</p> <p>Schedule:<br/>6 - 7pm: Galentine's Day Social Hour<br/>7pm - 8pm: ###TODO &gt; Insert clever Feature Engineering Talk Title</p> <p>We're so pleased to have Amanda Casari, author of Feature Engineering for Machine Learning (<a href="https://www.amazon.com/Feature-Engineering-Machine-Learning-Principles-ebook/dp/B07BNX4MWC" class="linkified">https://www.amazon.com/Feature-Engineering-Machine-Learning-Principles-ebook/dp/B07BNX4MWC</a>), as a remote speaker for our Galentine's Day meetup!</p>
<p>Please RSVP to this event using this link: <a href="https://ti.to/github-events/Patchwork-Austin" class="linkified">https://ti.to/github-events/Patchwork-Austin</a></p> <p>A GitHub Patchwork is a 3 hour long hands-on, learn-by-doing event with the goal of getting people using GitHub. No coding experience is necessary to attend. These are very casual events that are designed to be gentle introductions to Git, GitHub, and the pursuit of open source.</p> <p>Attendees need to bring a laptop that can connect to the internet. The event is hosted by GitHub Documentation team and they will have team members available to answer intermediate and advanced questions about Git and GitHub.</p> <p>Where? Microsoft, Austin office at Quarry Oaks II. Microsoft is kindly letting us use one of their conference rooms for the workshop.</p> <p>*Parking The patchwork will be at 10900-B Stonelake Blvd, Austin, TX 78759. Parking is free in the surface lot in front of the building.</p> <p>Please join us!</p>
<p>Hello R Ladies!</p> <p>We are happy to announce this joint meetup with Austin R User Group. The meetup will focus on lightning talks, including potentially a few guest speakers from UT!</p> <p>Here is how we see the evening going:<br/>6-6:45pm: Light snacks, drinks, and mingling<br/>6:45-8pm: Lightning talks<br/>8-8:30pm: Wrap up and mingling with speakers</p> <p>Confirmed speakers:<br/>James Curley (UT Professor of Psychology)<br/>"Using RCloud for Teaching Statistics"</p> <p>Cory Zigler (UT Professor of Statistics)<br/>"Data Science for Evaluating Air Pollution Policies"</p> <p>Joy Wyckoff (UT Grad Student in Psychoogy)<br/>"Using RShiny with Google Drive to Create Surveys and Automate Data Aggregation"</p> <p>Corinne Leopold (Data Scientist at IBM)<br/>"A home for your functions: Creating an R package"</p> <p>Are you interested in presenting your work? Or perhaps sharing a cool package you discovered that others should know about? What about a neat project you want feedback on? Please email us and let us know! [masked]</p> <p>Hope to see you there!<br/>Victoria + Caitlin</p>
<p>***NOTE: RSVP is on Eventbrite for this event! Here's the link: <a href="https://www.eventbrite.com/e/all-the-ladies-in-tech-happy-hour-spring-edition-tickets-59243994382" class="linkified">https://www.eventbrite.com/e/all-the-ladies-in-tech-happy-hour-spring-edition-tickets-59243994382</a> ***</p> <p>This is a quarterly mega happy hour / networking mixer with the goal of connecting women in tech, data, and code in ATX. We're thrilled that we'll have Adelbert's Brewery all to ourselves again -- thanks to the folks there for opening especially for this happy hour!</p> <p>We'll be partnering with Dress for Success Austin to do a drive for shoes and purses at this event -- if you have any extra shoes, purses, toiletries, or cosmetics, please bring them to help women who are in need!</p> <p>This event is cohosted by these groups:</p> <p>+ R-Ladies Austin<br/>+ Women in Data Science<br/>+ PyLadies ATX<br/>+ Women Who Code<br/>+ ChickTech Austin<br/>+ Austin Women in Technology<br/>+ AnitaB.org Austin<br/>+ Lesbians Who Tech<br/>+ Austin Women Tech-Ops<br/>+ Society of Women Engineers Austin<br/>+ Black Tech Women</p> <p>Please reach out if you know of a group that would like to co-host with us!</p> <p>Feel free to bring guests, but please note that we are limiting this event to those who identify as minority genders only.</p> <p>Can't wait to see you all there!</p>
<p>***NOTE: RSVP is on Eventbrite for this event! Here's the link: <a href="https://www.eventbrite.com/e/all-the-ladies-in-tech-happy-hour-summer-edition-tickets-64511203747" class="linkified">https://www.eventbrite.com/e/all-the-ladies-in-tech-happy-hour-summer-edition-tickets-64511203747</a> ***</p> <p>This is a quarterly mega happy hour / networking mixer with the goal of connecting women in tech, data, and code in ATX. We're thrilled that we'll have Adelbert's Brewery all to ourselves again -- thanks to the folks there for opening especially for this happy hour!</p> <p>We'll be partnering with Dress for Success Austin to do a drive for shoes and purses at this event -- if you have any extra shoes, purses, toiletries, or cosmetics, please bring them to help women who are in need!</p> <p>This event is cohosted by these groups:</p> <p>+ R-Ladies Austin<br/>+ Women in Data Science<br/>+ PyLadies ATX<br/>+ Women Who Code<br/>+ ChickTech Austin<br/>+ Austin Women in Technology<br/>+ AnitaB.org Austin<br/>+ Lesbians Who Tech<br/>+ Austin Women Tech-Ops<br/>+ Society of Women Engineers Austin<br/>+ Black Tech Women</p> <p>Please reach out if you know of a group that would like to co-host with us!</p> <p>Feel free to bring guests, but please note that we are limiting this event to those who identify as minority genders only.</p> <p>Can't wait to see you all there!</p>
<p>Hello Ladies!</p> <p>We are excited to announce our next book club book, Invisible Women: Data Bias in a World Designed for Men. This book was suggested to us by one of our R-Ladies Austin members Sue!</p> <p>You can find the book here: <a href="https://www.amazon.com/Invisible-Women-Data-World-Designed/dp/1419729071" class="linkified">https://www.amazon.com/Invisible-Women-Data-World-Designed/dp/1419729071</a></p> <p>As of today all copies at the Austin Public library are out so must be a good read! Check back later or place a hold on a copy here: <a href="https://austin.bibliocommons.com/item/show/2062372067" class="linkified">https://austin.bibliocommons.com/item/show/2062372067</a></p> <p>Should be a great read and engaging discussion over a brew--coffee or beer or tea at Thunderbird! More info on the book below. We hope to see you there!</p> <p>From Amazon about the book: "Data is fundamental to the modern world. From economic development, to healthcare, to education and public policy, we rely on numbers to allocate resources and make crucial decisions. But because so much data fails to take into account gender, because it treats men as the default and women as atypical, bias and discrimination are baked into our systems. And women pay tremendous costs for this bias, in time, money, and often with their lives.</p> <p>Celebrated feminist advocate Caroline Criado Perez investigates shocking root cause of gender inequality and research in Invisible Women†‹, diving into women’s lives at home, the workplace, the public square, the doctor’s office, and more. Built on hundreds of studies in the US, the UK, and around the world, and written with energy, wit, and sparkling intelligence, this is a groundbreaking, unforgettable exposé that will change the way you look at the world."</p>
<p>***NOTE: RSVP is on Eventbrite for this event! Here's the link: <a href="https://www.eventbrite.com/e/all-the-ladies-in-tech-happy-hour-fall-edition-tickets-70090341097" class="linkified">https://www.eventbrite.com/e/all-the-ladies-in-tech-happy-hour-fall-edition-tickets-70090341097</a>***</p> <p>~~~RSVPs are closed here--please use the Eventbrite link above to RSVP~~~</p> <p>This is a quarterly mega happy hour / networking mixer with the goal of connecting women in tech, data, and code in ATX. We're thrilled that we'll have Adelbert's Brewery all to ourselves again -- thanks to the folks there for opening especially for this happy hour!</p> <p>We'll be partnering with Dress for Success Austin to do a drive for shoes and purses at this event -- if you have any extra shoes, purses, toiletries, or cosmetics, please bring them to help women who are in need! They also have created a handy Amazon wishlist of items they are in need of. Please consider donating if you are able.</p> <p>This event is cohosted by these groups:</p> <p>+ R-Ladies Austin<br/>+ Women in Data Science<br/>+ PyLadies ATX<br/>+ Women Who Code<br/>+ ChickTech Austin<br/>+ Austin Women in Technology<br/>+ AnitaB.org Austin<br/>+ Lesbians Who Tech<br/>+ Austin Women Tech-Ops<br/>+ Society of Women Engineers Austin<br/>+ Black Tech Women<br/>+ Queer Up Tech</p> <p>Please reach out if you know of a group that would like to co-host with us!</p> <p>Feel free to bring guests, but please note that we are limiting this event to those who identify as women or minority genders only.</p> <p>Can't wait to see you all there!</p>
<p>Let's share our spookiest data stories over a pint of witches brew at a Halloween-themed happy hour. We'd love to hear about the data monsters you've mashed -- bring your scariest data munging, presenting, or modeling stories, to share (if you dare).</p> <p>Thanks to R-Ladies Seattle for the idea!</p>
<p>Hello R-Ladies!</p> <p>We are happy to announce this joint meetup with Austin R User Group. The meetup will focus on lightning talks, and we'd love to have volunteers give talks!</p> <p>Here's the plan for the evening:<br/>6:30-7pm: Snacks, drinks, and mingling<br/>7-8pm: Lightning talks<br/>8-8:30pm: Wrap up and mingling with speakers</p> <p>Confirmed Speakers:<br/>* Jon Harmon + Jonathan Bratt on RBERT: Cutting-Edge NLP in R</p> <p>* Meyappan Subbaiah (Zelus Analytics) on the CFB Package</p> <p>* Alicia Starkey on Workplace gratitude and health in acute-care nurses: An example of analyzing mediation over time</p> <p>* Brent Schneeman on Who's Tangled Web Is It? Using R and network science, we will find who's at the center of Russia, the Ukraine, the 2016 Election, Wikileaks, and everything else in the news.</p> <p>* Laura Ellis on Set Analysis: A face off between Venn diagrams and UpSet plots</p> <p>* Matt Worthington on Working Smarter, Not Harder: Managing Data for the Public Good</p> <p>Are you interested in presenting your work? Or perhaps sharing a cool package you discovered that others should know about? What about a neat project you want feedback on? Please email us and let us know! [masked]</p> <p>Hope to see you there!<br/>Victoria + Caitlin</p>
<p>Sabırsızlıkla beklenen etkinlik için tarih ve yer belirlendii !!! İlk etkinliğimiz olan tanışma ve görevlendirme buluşmasına TED Üniversitesi Sosyal İnovasyon Merkezi İstasyonTEDÜ ev sahipliği yapıyor . 12 Ekim 2019 Saat: 14:00'da hepinizi tanışmaya, R Ladies Ankara için görev almaya davet ediyoruz ! :)</p> <p>&gt;Katılım durumunuzu [masked] adresine ad soyad yazarak bildiriniz.</p> <p>*Katılım ücretsizdir.<br/>*İlk etkinlikte bilgisayarlarınızı getirmenize gerek yoktur.</p> <p>Adres: İstasyonTEDÜ TED Üniversitesi Sosyal İnovasyon Merkezi E Blok 2.Kat (Kolej Metro Durağı)</p>
<p>İkinci etkinliğimizle R eğitimi vermeye başlıyoruz ! Etkinliğimizi 30 Kasım 2019 Saat: 13.30'da Ankara Üniversitesi Siyasal Bilgiler Fakültesi'nde yapıyoruz.<br/>KATILIM ÜCRETSİZDİR.<br/>*Bu etkinliğimizde herhangi bir R bilgisi şartı aramıyoruz. Başlangıç eğitimidir.</p> <p>*Katılımcıların kişisel bilgisayarlarını yanlarında getirmesi tavsiye edilir.(Bilgisayarı olmayanlar olan biriyle ortak kullanabilir.)</p> <p>Kayıtlar için AD-SOYAD-TC Kimlik Numarası (Dekanlık izin dilekçesi için gerekli) bilgilerinizi [masked] hesabına mail atınız. Kampüse girişlerin mümkün olması için mail atıp kayıt yaptırmak zorunludur. İzin dilekçesinde yer almayan kişiler kampüse giremeyecektir.<br/>Kayıtlar sadece mail yoluyla alınmaktadır.</p> <p>*Etkinlikle ilgili diğer ayrıntılar da daha sonra duyurulacaktır..<br/>&gt;&gt; Hepinizi R öğrenmeye davet ediyoruz !! :)</p>
<p>#KAYITLARIMIZ DOLMUŞTUR.#<br/>Herkese merhaba,<br/>R Ladies Ankara 3. etkinliğini Bilkent Üniversitesi'nde gerçekleştirecektir. Etkinlik 2 grup şeklinde olacaktır. Kontenjan 100 kişi ile sınırlıdır.</p> <p>1.Grup 50 kişi saat: 12.00 - 14.30<br/>2.Grup 50 kişi saat: 15.00 - 17.30<br/>Kaydınızı hangi grubu istiyorsanız ona göre yapınız.</p> <p>KAYITLAR YALNIZCA MAİL ATILARAK GERÇEKLEŞECEKTİR. MEETUP ÜZERİNDEN VERDİĞİNİZ KATILIM CEVAPLARI KAYDINIZI GERÇEKLEŞTİRMEK İÇİN YETERLİ DEĞİLDİR.</p> <p>Kayıt yapmak için Ad-Soyad-Grup bilginizi [masked] hesabına mail atınız.<br/># Erkek katılımcılar için kontenjan dolmuştur. #<br/>*Katılım ücretsizdir.<br/>*Bilkent Üniversitesi'ne ulaşımların servisler aracılığıyla yapılması planlanmaktadır. Servis bilgileri kayıtlar dolduktan sonra bildirilecektir.<br/>*Gelirken bilgisayarlarınızı getirmeniz tavsiye edilir.<br/>*Bir önceki etkinliğimizin devamı niteliğinde olacaktır. Ancak katılımcı olmak için bir önceki etkinliğe katılma şartı aranmamaktadır.<br/>*Etkinliğe gelirken R'ı kurup gelmeniz gerekmektedir. Kurulumu nasıl yapacağınıza dair dosya gönderilecektir. Kuramayanlar etkinlik başlamadan en az yarım saat önce orada olmalıdır.<br/>*BAŞKALARININ KATILIMINI ENGELLEMEMEK ADINA KATILIM SAĞLAYAMAYACAKSANIZ LÜTFEN KAYIT YAPTIRMAYINIZ.</p>
<p>Launch event R-Ladies Den Bosch</p> <p>We are very excited to invite you to our Launch Event on September 11!<br/>During our Launch event, we will give an introduction to R-Ladies, the JADS (the Jheronimus Academy of Data Science, our host), and we would love to get to know you!</p> <p>As a local R-Ladies chapter, we want to host accessible workshops and create a community of R-enthusiasts where everyone can develop their R skills. Everyone who is interested in the R language and supports inclusion in the community is welcome to join.</p> <p>If you haven’t done so already, please fill out our Launch questionnaire (<a href="https://forms.gle/hRkiLps4se3rPeby7" class="linkified">https://forms.gle/hRkiLps4se3rPeby7</a>). We will present the results of the questionnaire during our Launch event. Even if you can’t make it to our Launch Event, we would love to hear your input!</p> <p>A huge thank you to JADS for hosting us!<br/>---------------------------------------------------------------------------------------------</p> <p>SCHEDULE<br/>17:30 Doors open<br/>18:00 Intro to R-Ladies, by Veerle<br/>18:10 A word from our host this evening, JADS, by Lieke<br/>18:20 Key-note speech, tba<br/>18:45 Break<br/>19:00 Presentation of survey results, by Martine<br/>19:20 Nearest Neighbour game<br/>19:45 Wrap-up<br/>20:00 Drinks and networking in Bolwerk Sint-Jan</p> <p>CODE OF CONDUCT<br/>Please take a minute to read our code of conduct -- we are committed to creating a safe and harassment-free environment<br/><a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct</a></p> <p>Looking forward to meeting all of you!<br/>-- Organizing team R-Ladies Den Bosch</p>
<p>First Bogor R-Ladies meetup is coming soon!</p> <p>Let's meet at Burung Corner on 5th of May 2019 from 10 AM to 12 AM to discuss R, our favourite statistical programming language! If you intend to come, please download and fill our survey to help us tailor the event accordingly: <a href="https://bogorrladies.typeform.com/to/C3bnPg" class="linkified">https://bogorrladies.typeform.com/to/C3bnPg</a></p> <p>In our first meeting, we will first introduce R-Ladies Global initiative and then proceed to discuss Rmarkdown and reproducible code!</p> <p>We don't like to limit our attendees, but our current space was limited to 30 persons because... that is how big the place is :D<br/>Find out more about our meetup place here; <a href="https://twitter.com/BurungIndonesia/status/1117746236428132353" class="linkified">https://twitter.com/BurungIndonesia/status/1117746236428132353</a></p> <p>E-mail us at [masked] for any inquiries regarding this event!</p>
<p>Our next Bogor R-Ladies meetup is coming soon!</p> <p>For our second meetup, let's start with R absolute beginner mini workshop.<br/>Sunday, June 16, 2019 at[masked] at WCS's office (Jalan Tampomas No. 35 Bogor).</p> <p>We will start with a brief introduction of R, followed by basics on how to use R, data cleaning and some descriptive statistics. Don't forget to bring your own laptop and install R software in your computers.</p> <p>The mini workshop will also include a sharing session for all R Ladies who attend. Feel free to share your experience about R!</p> <p>Our current space can have maximum 30 persons, so hurry up reserve your spot!<br/>More information and RSVP here: <a href="http://bit.ly/2MMydVE" class="linkified">http://bit.ly/2MMydVE</a></p> <p>E-mail us at [masked] for any inquiries regarding this event!</p>
<p>Our next Bogor R-Ladies meetup is coming soon!</p> <p>For our third meetup, let's deal with Data Summary and learning how to plot using base R and ggplot.</p> <p>This time, the mini workshop will be held on Sunday, July 14, 2019 at[masked] at WCS's office (Jalan Tampomas No. 35 Bogor).</p> <p>We will start with introduction to Data Summary where we will discuss a little about how to check your data type, prepare subset, and how to extract descriptive statistic information from your data. Then, we will jump right into visualizing our data by using base plot and pretty it up using ggplot!</p> <p>The mini workshop will also include a sharing session for all R Ladies who attend. Feel free to share your experience about R!</p> <p>Our current space can have maximum 30 persons, so hurry up reserve your spot!<br/>More information and RSVP here: <a href="http://bit.ly/2MMydVE" class="linkified">http://bit.ly/2MMydVE</a></p> <p>E-mail us at [masked] for any inquiries regarding this event!</p>
<p>Hello again!!</p> <p>The next Bogor R-Ladies meetup is coming soon!</p> <p>Are you still confused about parametric and non-parametric tests? assumption of normality etc.? This is the time to be enlightened!! hahahaha...</p> <p>For our fourth meetup, let's dive into the realm of classical tests.</p> <p>We will learn about the parametric (t-test, ANOVA, ANCOVA) and non-parametric tests (Wilcoxon, Kruskal Wallis), then Chi-squared and correlation tests, and how to run the analysis in R.</p> <p>Our mini-workshop will be held on Sunday, August 18, 2019 at[masked] at WCS's NEW office (Jalan Malabar 1 No. 11, Kota Bogor, see the map).</p> <p>Our current space can have maximum 25 persons, so hurry up reserve your spot!</p> <p>E-mail us at [masked] for any inquiries regarding this event!</p>
<p>Hello again!!</p> <p>The next Bogor R-Ladies meetup is coming soon!</p> <p>Are you still confused when dealing with categorical data? Curious about conducting correlation tests? This is the time to be enlightened!!</p> <p>For our fifth meetup, let's dive into the realm of classical tests, part II.</p> <p>First, to make sure that everyone can follow the mini workshop properly, we'd start with intro to R (with Sheherazade). Then, continuing last month's theme on parametric &amp; non-parametric tests, we will now learn about Chi-squared and correlation tests, and how to run the analysis in R (with Ulfah).</p> <p>Our mini-workshop will be held on Sunday, August 18, 2019 at[masked] at WCS's office (Jalan Malabar 1 No. 11, Kota Bogor, see the map).</p> <p>Our current space can have maximum 25 persons, so hurry up reserve your spot!</p> <p>E-mail us at [masked] for any inquiries regarding this event!</p>
<p>Hello again!!</p> <p>The next Bogor R-Ladies meetup is coming soon!</p> <p>For our sixth meetup, let's dive into linear regression! We'll discuss including related assumptions of linear regression and how to conduct analysis using this approach in R.</p> <p>Our mini-workshop will be held on Saturday, September 12, 2019 at[masked] at WCS's office (Jalan Malabar 1 No. 11, Kota Bogor, see the map).</p> <p>Our current space can have maximum 25 persons, so hurry up reserve your spot!</p> <p>E-mail us at [masked] for any inquiries regarding this event! If you're very new to R, please let us know in advance. Don't forget to have RStudio readily installed in your computer as well :)</p>
<p>Hello again!!</p> <p>The next Bogor R-Ladies meetup is coming soon!</p> <p>For our seventh meetup (wow, 7 already!), let's dive even further into the various extension of linear regression! The subject will be a bit tough than usual, so we'll see how far we'll finished this time. We will discuss cases where we need to extent the simple linear regression into something else and go directly into GLM.</p> <p>Our mini-workshop will be held on Sunday, November 17, 2019 at[masked] at WCS's office (Jalan Malabar 1 No. 11, Kota Bogor, see the map).</p> <p>Some IMPORTANT stuff:<br/>1. Our current space can have maximum 25 persons, so hurry up reserve your spot!<br/>2. Check previous meetups docs here: <a href="https://github.com/bogoRladies" class="linkified">https://github.com/bogoRladies</a><br/>3. E-mail us at [masked] for any inquiries regarding this event! 4. Don't forget to have RStudio readily installed in your computer<br/>5. VERY IMPORTANT: If you're very new to R, we need you to go through these two documents BEFORE the meetup:<br/>1. Intro to R.pdf<br/>2. Starter Kit R.pdf<br/>You can download and read the descriptions here: <a href="https://github.com/bogoRladies/starter-kit" class="linkified">https://github.com/bogoRladies/starter-kit</a></p> <p>Hope to see you all really soon!!</p>
<p>Si crees en la revolución de las pequeñas cosas,<br/>si estás dispuesto a formar parte de un equipo de trabajo,<br/>si el mundo de la programación te genera interés<br/>y si crees en la importancia de que las minorías maximicen su potencial,<br/>entonces R-Ladies está pensado para ti…<br/>¡Ven y conócenos!</p>
<p>Ladies!!</p> <p>Com muita felicidade que anunciamos o primeiro meetup em Floripa. Teremos minicurso de introdução ao R ministrado pela Aishameriane Schmidt (<a href="https://sites.google.com/view/aishameriane" class="linkified">https://sites.google.com/view/aishameriane</a>). O minicurso é voltado para quem deseja começar a programar ou pra quem acabou de chegar nesse mundo!</p> <p>Cronograma:</p> <p>13:00 Abertura<br/>13:20 Minicurso parte 1<br/>15:20 Pausa para Coffee Break e Network<br/>15:40 Minicurso parte 2<br/>17:40 Encerramento</p> <p>Informações:<br/>O evento é gratuito, porém só confirme se realmente for participar!<br/>Para participar do evento por gentileza ajude respondendo um formulário para melhorar o evento :) <a href="https://forms.gle/UefBmZdAP9hqo3zh6" class="linkified">https://forms.gle/UefBmZdAP9hqo3zh6</a><br/>É necessário levar seu computador (e carregador) para praticar R.<br/>O minicurso irá ocorrer em dois sábados consecutivos, então já se programa para essa experiência incrível!</p> <p>Transporte:<br/>O ponto de ônibus é próximo ao local.<br/>O estacionamento do local é pago e tem algumas vagas na rua próxima do evento.<br/>Em breve disponibilizaremos uma planilha para compartilhar caronas!!</p> <p>E seja bem-vinda ao R-Ladies! Esperamos que você se sinta bem nessa comunidade. Qualquer dúvida só entrar em contato.</p>
<p>Ladies!!</p> <p>Teremos a continuação do minicurso de introdução ao R ministrado pela Aishameriane Schmidt (<a href="https://sites.google.com/view/aishameriane" class="linkified">https://sites.google.com/view/aishameriane</a>). Para acessar o conteúdo da primeira parte do minicurso e revisar acesse <a href="https://github.com/aishameriane/Presentations/tree/master/RLadiesFLP" class="linkified">https://github.com/aishameriane/Presentations/tree/master/RLadiesFLP</a></p> <p>Cronograma:</p> <p>13:00 Abertura<br/>13:10 Minicurso<br/>15:20 Pausa para Coffee Break e Network<br/>15:40 Minicurso<br/>17:50 Encerramento</p> <p>Informações:<br/>O evento é gratuito, porém só confirme se realmente for participar!<br/>É necessário levar seu computador (e carregador) para praticar R.</p> <p>Transporte:<br/>O ponto de ônibus é próximo ao local.<br/>O estacionamento do local é gratuito.</p> <p>E seja bem-vinda ao R-Ladies! Esperamos que você se sinta bem nessa comunidade. Qualquer dúvida só entrar em contato.</p>
<p>Ladies! Vamos para nosso segundo encontro em Floripa que será na UFSC, no departamento do CSE, sala 5 - térreo.</p> <p>Cronograma:<br/>18:30 Network<br/>19:00 Abertura<br/>19:10 RACom: Criação do pacote no software R para auxiliar na resolução de exercícios de análise combinatória - Adriane Portela<br/>20:00 Lightning Talks<br/>20:10 Estatística descritiva e gráfico no R - Glenda Mello</p> <p>Prepare sua Lightning Talks!<br/>Espaço reservado para a pessoa que quiser falar por até 5 min sobre o que quiser!!! Pode pedir/oferecer vaga de emprego, apresentar comando mágico, técnica nova, pode usar sua criatividade neste momento... acabou os 5 min? Palmas e próxima !!</p>
<p>satRday-Lagos is an event aimed at getting you started with the R programing language.</p> <p>Do you love data or you are thinking of kick-starting your career in Technology by learning a programing language, then this is for you.</p> <p>Do you do statistics,digital media listening and analysis, data visualization, data engineering, data management,data sciences animation, economics and more. Let's show you how R would improve your projects.</p> <p>This event is strictly hands-on so bring your laptops and devices along .</p> <p>See you there .</p>
<p>Hi there R Users, it is time again for our physical meetup. It promises to packed but very interesting time.</p> <p>Agenda</p> <p>* Project presentation from the last online meeting<br/>*Hands-on projects for this month<br/>* Preparation for upcoming conferences<br/>- Women in Analytics 2020 (Columbus)<br/>- useR 2020 (St. Louis)<br/>*R-Ladies Lagos 2020 Outlook</p> <p>Come with your computers, extension boxes and data visualization ideas.</p>
<p>¿Conoces R? ¿Lo has utilizado o tienes ganas de aprender a usarlo? Únete a la primer reunión de RLadies Querétaro, charlaremos sobre temas generales, las aplicaciones de R en diferentes ámbitos.</p> <p>El objetivo principal es formar una comunidad de apoyo para aprender a programar y a compartir conocimientos en R en un ambiente tranquilo y amigable.</p> <p>¿Qué haremos en esta reunión?</p> <p>--&gt; Bienvenida por parte de Ana Villaseñor (del International Laboratory for Human Genome Research de la UNAM; @AnaBetty2304 en Twitter), Azalea Reyes (del Laboratorio de Neurocognición Social de la UNAM; @azaleareyaguila en twitter) y Driselda Sánchez (Facultad de Contaduría y Administración de la UAQ; @DrisPaty en Twitter)</p> <p>---&gt; Introducción general acerca de RLadies Global</p> <p>---&gt; Presentaciones individuales y brainstorming para próximas reuniones.</p> <p>---&gt; Networking. Estamos en búsqueda de patrocinadores para hacer networking con bocadillos, pizzas o lo que sea durante la reunión, así que si sabes de alguien que pueda apoyar a la causa por favor ¡contáctanos (a cualquiera de las co-organizadoras del evento)!</p>
<p>Nuestra segunda reunión de RLadies Qro consistirá en un taller de R para principiantes impartido por Joana Ramirez (Software Engineer y Padawan de Scrum Master con 6 años de experiencia, entusiasta de la tecnología y programación), la encuentras en twitter como @joanux810<br/>Unete con tu laptop y aunque no es necesario saber R es conveniente instalar R (<a href="https://cran.r-project.org" class="linkified">https://cran.r-project.org</a>) y RStudio (<a href="https://www.rstudio.com/products/rstudio/download/" class="linkified">https://www.rstudio.com/products/rstudio/download/</a>) antes del taller. Ambos son gratis y este es tu primer paso para aprender R!.<br/>En esta ocasión Grupo Cantares patrocina el coffee break y posiblemente tendremos pizza :)</p>
<p>En esta tercer reunión tenemos como objetivo explorar y aprender lo básico de Git, Gtihub y Rstudio de la mano de Edgar @nekrum, Maribel, Marisol @emmsol y Joana @joanux810.<br/>Unete con tu laptop y aunque no es necesario saber R es conveniente instalar R (<a href="https://cran.r-project.org" class="linkified">https://cran.r-project.org</a>), RStudio (<a href="https://www.rstudio.com/products/rstudio/download/" class="linkified">https://www.rstudio.com/products/rstudio/download/</a>) y Git (<a href="https://git-scm.com/book/es/v1/Empezando-Instalando-Git" class="linkified">https://git-scm.com/book/es/v1/Empezando-Instalando-Git</a>) antes del taller.<br/>Te esperamos para aprender juntxs :)</p>
<p>En esta ocasión tenemos dos micro talleres super interesantes: Karen nos introducirá al análisis de datos en R con apoyo de Tidyverse. Y Eli nos mostrará todas las oportunidades que hay al utilizar ggplot para visualizar datos y Mike estará apoyando el desarrollo de los talleres. Recuerda traer tu laptop y aunque no es necesario saber R es conveniente instalar R (<a href="https://cran.r-project.org" class="linkified">https://cran.r-project.org</a>), RStudio (<a href="https://www.rstudio.com/products/rstudio/download/" class="linkified">https://www.rstudio.com/products/rstudio/download/</a>). ¡Te esperamos!</p>
<p>Realizaremos la reunión de lanzamiento en la sala n°3 del departamento de Administración Pública y Ciencia Política de la Universidad de Concepción.</p>
<p>¡En nuestro primer taller, presentaremos "Introducción a R", conoceremos desde cero todo lo necesario para aprender este lenguaje!</p> <p>Las/Los esperamos el próximo miércoles 12 de junio a las 18.00 en el auditorio Alamiro Robledo, ubicado en la Facultad de Ciencias Físicas y Matemáticas, Universidad de Concepción (Facultad frente a la laguna de los patos).</p> <p>Para el taller, es importante que tengan sus propios computadores, y que descarguen R project desde este link -&gt;: <a href="https://dirichlet.mat.puc.cl/" class="linkified">https://dirichlet.mat.puc.cl/</a> y descargar la versión gratuita de R Studio -&gt;: <a href="https://www.rstudio.com/products/rstudio/download/" class="linkified">https://www.rstudio.com/products/rstudio/download/</a></p> <p>Si es la primera vez que asistes a uno de nuestros eventos, recuerda revisar nuestro código de conducta. Es requisito para asistir estar de acuerdo con él: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish</a></p> <p>¡Te esperamos!</p>
<p>En este taller, aprenderás tres tareas fundamentales: Crear e importar conjuntos de datos, análisis descriptivos y creación de gráficos.</p> <p>Las/Los esperamos el próximo jueves 27 de junio a las 18.00 en la sala 3 del departamento de administración pública y ciencia política, Universidad de Concepción.</p> <p>Para el taller, es importante que tengan sus propios computadores, y que descarguen R project desde este link -&gt;: <a href="https://dirichlet.mat.puc.cl/" class="linkified">https://dirichlet.mat.puc.cl/</a> y descargar la versión gratuita de R Studio -&gt;: <a href="https://www.rstudio.com/products/rstudio/download/" class="linkified">https://www.rstudio.com/products/rstudio/download/</a></p> <p>Si es la primera vez que asistes a uno de nuestros eventos, recuerda revisar nuestro código de conducta. Es requisito para asistir estar de acuerdo con él: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish</a></p> <p>¡Te esperamos!</p>
<p>¡Te invitamos a nuestra charla + mini taller de "Inteligencia Artificial" dirigido por Sebastián Niklitschek!</p> <p>Las/Los esperamos el próximo jueves 18 de julio a las 18.00 en el Auditorio Alamiro Robledo de la Facultad Ciencias Físicas y Matemáticas, Universidad de Concepción.</p> <p>Para el taller, es importante que tengan sus propios computadores, y que descarguen R project desde este link -&gt;: <a href="https://dirichlet.mat.puc.cl/" class="linkified">https://dirichlet.mat.puc.cl/</a> y descargar la versión gratuita de R Studio -&gt;: <a href="https://www.rstudio.com/products/rstudio/download/" class="linkified">https://www.rstudio.com/products/rstudio/download/</a></p> <p>Si es la primera vez que asistes a uno de nuestros eventos, recuerda revisar nuestro código de conducta. Es requisito para asistir estar de acuerdo con él: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish</a></p> <p>¡No es necesario que sepas Inteligencia Artificial, te esperamos!</p>
<p>En nuestro tercer taller de análisis de datos con R, aprenderás a utilizar el paquete dplyr, el cuál proporciona un conjunto de funciones extremadamente útiles para manipulación de tus datos.</p> <p>Las/Los esperamos el próximo jueves 25 de julio a las 18:00 hrs. en la sala A303AC de las Aulas AC en la Universidad del Bío-Bío.</p> <p>Para el taller, es importante que tengan sus propios computadores, y que descarguen R project desde este link -&gt;: <a href="https://dirichlet.mat.puc.cl/" class="linkified">https://dirichlet.mat.puc.cl/</a> y descargar la versión gratuita de R Studio -&gt;: <a href="https://www.rstudio.com/products/rstudio/download/" class="linkified">https://www.rstudio.com/products/rstudio/download/</a></p> <p>Si es la primera vez que asistes a uno de nuestros eventos, recuerda revisar nuestro código de conducta. Es requisito para asistir estar de acuerdo con él: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish</a></p> <p>¡Te esperamos!</p>
<p>En nuestro cuarto taller aprenderás a utilizar MySQL, sistema de gestión de base de datos relacional (RDBMS) de código abierto, basado en lenguaje de consulta estructurado (SQL).</p> <p>Las/Los esperamos el próximo jueves 08 de Agosto a las 18:00 hrs. en la sala A302AC de las Aulas AC en la Universidad del Bío-Bío.</p> <p>Para el taller, es importante que tengan sus propios computadores, y que descarguen R project desde este link -&gt;: <a href="https://dirichlet.mat.puc.cl/" class="linkified">https://dirichlet.mat.puc.cl/</a> y descargar la versión gratuita de R Studio -&gt;: <a href="https://www.rstudio.com/products/rstudio/download/" class="linkified">https://www.rstudio.com/products/rstudio/download/</a><br/>Además, para este taller sera necesaria la descarga de MySQL, desde el link -&gt; <a href="https://www.mysql.com/downloads/" class="linkified">https://www.mysql.com/downloads/</a></p> <p>Si es la primera vez que asistes a uno de nuestros eventos, recuerda revisar nuestro código de conducta. Es requisito para asistir estar de acuerdo con él: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish</a></p> <p>¡Te esperamos!</p>
<p>En nuestro quinto taller aprenderás a utilizar MySQL, sistema de gestión de base de datos relacional (RDBMS) de código abierto, basado en lenguaje de consulta estructurado (SQL).</p> <p>Te esperamos el próximo jueves 29 de Agosto a las 18:30 hrs. en el Auditorio del Instituto de Investigación Pesquera (INPESCA). Colon 2780, Talcahuano.</p> <p>Para el taller, es importante que tengan sus propios computadores, y que descarguen R project desde este link -&gt;: <a href="https://dirichlet.mat.puc.cl/" class="linkified">https://dirichlet.mat.puc.cl/</a> y descargar la versión gratuita de R Studio -&gt;: <a href="https://www.rstudio.com/products/rstudio/download/" class="linkified">https://www.rstudio.com/products/rstudio/download/</a><br/>Además, para este taller sera necesaria la descarga de MySQL, desde el link -&gt; <a href="https://www.mysql.com/downloads/" class="linkified">https://www.mysql.com/downloads/</a></p> <p>Si es la primera vez que asistes a uno de nuestros eventos, recuerda revisar nuestro código de conducta. Es requisito para asistir estar de acuerdo con él: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish</a></p> <p>¡No dudes en consultarnos cualquier duda, te esperamos!</p>
<p>En nuestro sexto taller aprenderás a utilizar la librería RMarkdown. En términos sencillos RMarkdown es un procesador de texto que ofrece además la posibilidad de incluir trozos de código desde R (u otros formatos). El principal beneficio de esta herramienta es que permite trabajar en un sólo documento tanto la redacción del contenido narrativo de reportes de investigación, como también la construcción y presentación formal de resultados de análisis estadísticos.</p> <p>Te esperamos el próximo jueves 05 de Septiembre a las 18:00 hrs. en la Sala A302AC en la Universidad del Bío-Bío.</p> <p>Para el taller, es importante que tengan sus propios computadores, y que descarguen R project desde este link -&gt;: <a href="https://dirichlet.mat.puc.cl/" class="linkified">https://dirichlet.mat.puc.cl/</a> y descargar la versión gratuita de R Studio -&gt;: <a href="https://www.rstudio.com/products/rstudio/download/" class="linkified">https://www.rstudio.com/products/rstudio/download/</a><br/>Además, para este taller sera necesaria la descarga de MySQL, desde el link -&gt; <a href="https://www.mysql.com/downloads/" class="linkified">https://www.mysql.com/downloads/</a></p> <p>Si es la primera vez que asistes a uno de nuestros eventos, recuerda revisar nuestro código de conducta. Es requisito para asistir estar de acuerdo con él: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish</a></p> <p>¡No dudes en consultarnos cualquier duda, te esperamos!</p>
<p>Te invitamos con mucho agrado a este MeetUp en conjunto de estas dos comunidades. Extraeremos datos con Power BI desde una API Rest Pública, luego correremos algunos script en R con esos datos para terminar visualizándolos en Power BI, un gran ejercicio con estas dos herramientas.</p> <p>Las/Los esperamos el próximo miércoles 02 de octubre a las 18:40 hrs. en la Facultad de Ciencias Económicas y Administrativas de la UCSC.</p> <p>Para el taller, es importante que tengan sus propios computadores, y que descarguen R project desde este link -&gt;: <a href="https://dirichlet.mat.puc.cl/" class="linkified">https://dirichlet.mat.puc.cl/</a> y descargar la versión gratuita de R Studio -&gt;: <a href="https://www.rstudio.com/products/rstudio/download/" class="linkified">https://www.rstudio.com/products/rstudio/download/</a></p> <p>Si es la primera vez que asistes a uno de nuestros eventos, recuerda revisar nuestro código de conducta. Es requisito para asistir estar de acuerdo con él: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish</a></p> <p>Inviten a sus amigos y todos los profesionales interesados, es gratuito y terminaremos compartiendo pizzas.</p> <p>¡Te esperamos!</p>
<p>En nuestro Meetup contaremos con la presencia de Helen De La Fuente e Ivonne Rueda, quiénes nos enseñarán a utilizar "Procesamiento de Información Geospacial".</p> <p>Te esperamos el próximo jueves 10 de Octubre a las 18:00 hrs. en la Sala A302AC en la Universidad del Bío-Bío.</p> <p>Para el taller, es importante que tengan sus propios computadores, y que descarguen R project desde este link -&gt;: <a href="https://dirichlet.mat.puc.cl/" class="linkified">https://dirichlet.mat.puc.cl/</a> y descargar la versión gratuita de R Studio -&gt;: <a href="https://www.rstudio.com/products/rstudio/download/" class="linkified">https://www.rstudio.com/products/rstudio/download/</a></p> <p>Si es la primera vez que asistes a uno de nuestros eventos, recuerda revisar nuestro código de conducta. Es requisito para asistir estar de acuerdo con él: <a href="https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish" class="linkified">https://github.com/rladies/starter-kit/wiki/Code-of-Conduct#spanish</a></p> <p>¡No dudes en consultarnos cualquier duda, te esperamos!</p>
<p>Datos &amp; Guaros es un encuentro entre periodistas, investigadores, activistas, hackers y desarrolladores que se encuentran para socializar y compartir proyectos al calor de unos guaros.</p> <p>En esta oportunidad, vamos a tener un componente adicional y es el lanzamiento oficial de la primera tienda de diseño basada en datos: Datasketch Store <a href="https://datasketch.store" class="linkified">https://datasketch.store</a>.</p> <p>Ven a conocer y disfrutar de proyectos e iniciativas de activismo digital, infoactivismo y periodismo de datos.</p> <p>Si tienes algún proyecto que quieras compartir, inscríbete en este link:</p> <p><a href="https://docs.google.com/forms/d/1Ai9v2rEIxkIjnFRM2_PP_XVZlIA9bmLZr54N-y-Zwvk/viewform?edit_requested=true" class="linkified">https://docs.google.com/forms/d/1Ai9v2rEIxkIjnFRM2_PP_XVZlIA9bmLZr54N-y-Zwvk/viewform?edit_requested=true</a></p>
<p>This will be the kickoff meet for R-Ladies Pune chapter. We will be discussing the motive of this group, the way ahead, announce up-coming sessions and gauge the community requirements.<br/>** The logo for this kickoff meet is created using the R package "wordcloud"</p>
<p>Note : This event will be live streamed. The link for live streaming : <a href="http://webcast.unipune.ac.in" class="linkified">http://webcast.unipune.ac.in</a></p> <p>Dr. Susan Holmes (Statistics Department, Stanford University) will be joining us for this meetup. She will talk on "Using trees and networks in R"</p> <p>Abstract:<br/>Networks and trees are often used to represent both biological data<br/>and knowledge about a system with nodes and interactions such as social communities.<br/>Phylogenetic trees were used to represent family relationships between species even before Darwin's famous notebook sketch.<br/>Networks are often used to schematize complex interactions between proteins involved in diseases, between community members or between neurons in the brain.</p> <p>She will show examples of making effective maps and testing network and tree data using the R packages phyloseq,igraph, ggplot, ggnetwork and ggraph.</p>
<p>Welcome to the Kick-off meeting of R-Ladies Bergen!</p> <p>The plan for the evening is informal and fun. Let´s get to know each other and discover how the Bergen chapter can best serve your needs. We will introduce the background of the R-Ladies community and its mission to promote and support inclusivity and diversity in the R community. We will discuss topics for themed meetings so please feel free to bring ideas. We look forward to your contributions.</p> <p>Come and take part in creating a vibrant local chapter of R-Ladies Global!</p> <p>@RLadiesBergen</p>
<p>This will be the very first R-Ladies Beijing event!<br/>We'll bring you a workshop on data visualization in R. It is open to beginning or intermediate R users. Please bring your laptop, and passion for R. :)</p> <p>The workshop will mainly be given in English. There will be mandarin-speaking facilitators as well.</p> <p>Agenda:<br/>15:00-15:10 Opening &amp; introduction to R-Ladies Beijing<br/>15:10-16:50 Workshop on data visualization in R given by Clara WANG<br/>16:50-17:00 Survey and feedback<br/>17:00- Networking</p> <p>Date &amp; time: Saturday, Dec. 21, 2019; 15:00-17:00<br/>Place: Innoplanet, Innoway, Innoplanet, Innoway - Fl. 6, No. 48 Haidian West Street, Beijing 北京海淀区苏州街中关村创业大街6号楼</p> <p>Look forward to seeing you.</p>
<p>R yazılımı ile tanışmak isteyen, R kullanıcıları ile tanışmak isteyen, R programlama öğrenmek isteyen herkesi 20 Aralık saat 16:00' da tanışma toplantısına bekliyoruz! Detaylar için takipte kalın!</p>