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program.json
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{
"cracking-open-ggplot-internals-ggtrace": {
"talk": {
"id": 22100,
"slug": "cracking-open-ggplot-internals-ggtrace",
"type": "Regular",
"tags": [
"programming",
"tool",
"visualisation"
],
"sched_url": "https://rstudioconf2022.sched.com/event/11ibT",
"title": "Cracking open ggplot internals with {ggtrace}",
"title_short": "ggplot internals with {ggtrace}",
"materials_url": "https://github.com/yjunechoe/ggtrace-rstudioconf2022",
"abstract": "<p>The inner workings of {ggplot2} are difficult to grasp even for experienced\nusers because its internal object-oriented (ggproto) system is hidden from user-\nfacing functions, by design. This is exacerbated by the foreignness of ggproto\nitself, which remains the largest hurdle in the user-to-developer transition.\nHowever this needs not to be the case: ggplot internals have clear parallels to\ndata wrangling, where data is passed between methods that take inputs and return\noutputs. Capitalizing on this connection, package {ggtrace} exposes the familiar\nfunctional programming logic of ggplot with functions that inspect, capture, or\nmodify steps in a ggplot object's execution pipeline, enabling users to learn\nthe internals through trial-and-error.<\/p>\n<p>Talk materials are available at <a href=\"https://github.com/yjunechoe/ggtrace-rstudioconf2022\" target=\"_blank\">https://github.com/yjunechoe/ggtrace-rstudioconf2022<\/a>.",
"video": "bwtd8rypms",
"day": "2022-07-28",
"start": "2022-07-28T15:20:00ZEDT",
"end": "2022-07-28T15:40:00ZEDT",
"start_local": "03:20 PM",
"end_local": "03:40 PM"
},
"session": {
"slug": "advanced-r",
"title": "Just typing R code: advanced R programming",
"room": "National Harbor 10+11",
"slido": "https://sli.do/DCA",
"day": "2022-07-28",
"start": "2022-07-28T15:20:00ZEDT",
"end": "2022-07-28T16:20:00ZEDT",
"start_local": "03:20 PM",
"end_local": "04:20 PM"
},
"speakers": [
{
"name": "June Choe",
"affiliation": "University of Pennsylvania",
"url": {
"webpage": "https://yjunechoe.github.io",
"twitter": "https://twitter.com/yjunechoe",
"github": "https://github.com/yjunechoe/ggtrace",
"linkedin": null,
"affiliation": null
},
"username": "junechoe",
"photo": "https://raw.githubusercontent.com/rstudio/rstudio-conf-2022-program/main/assets/img/2022Conf/_talks/22100_june-choe.jpg",
"bio": "<p>June is a second year Ph.D. student in linguistics at the University\nof Pennsylvania, studying various topics in language acquisition and\nhuman sentence processing. He uses R extensively for experimental\nand corpus research, and spends too much time making the perfect\nfigures for his papers. Outside of research, June spends his free time\npursuing his hobby in data visualization, reading about its design\nprinciples and code-based implementations. June is also passionate\nabout data science education, and his most recent side project tackles\nthe knowledge gap between users and developers of ggplot. June takes\nbreaks from his computer by cooking, ice skating, and hanging out with\nfriends.<\/p>\n"
}
]
},
"introduction-to-r7": {
"talk": {
"id": 22110,
"slug": "introduction-to-r7",
"type": "Regular",
"tags": [
"programming",
"tool"
],
"sched_url": "https://rstudioconf2022.sched.com/event/11ibi",
"title": "An introduction to R7",
"title_short": "An introduction to R7",
"materials_url": null,
"abstract": "<p>The R7 package is a new OOP system designed to be a successor to S3 and S4. It\nhas been designed and implemented collaboratively by the RConsortium Object-\nOriented Programming Working Group, which includes representatives from R-Core,\nBioConductor, RStudio/tidyverse, and the wider R community.<\/p>\n<p>In this talk, I'll introduce R7 to the wider world. Attendees will learn why we\ncreated R7 and how they can use it to create new classes and packages. I hope to\ninspire folks to download, try it out, and give us the feedback we need to make\nit better.<\/p>\n",
"video": "z5rb393hx5",
"day": "2022-07-28",
"start": "2022-07-28T16:00:00ZEDT",
"end": "2022-07-28T16:20:00ZEDT",
"start_local": "04:00 PM",
"end_local": "04:20 PM"
},
"session": {
"slug": "advanced-r",
"title": "Just typing R code: advanced R programming",
"room": "National Harbor 10+11",
"slido": "https://sli.do/DCA",
"day": "2022-07-28",
"start": "2022-07-28T15:20:00ZEDT",
"end": "2022-07-28T16:20:00ZEDT",
"start_local": "03:20 PM",
"end_local": "04:20 PM"
},
"speakers": [
{
"name": "Hadley Wickham",
"affiliation": "RStudio",
"url": {
"webpage": "https://hadley.nz",
"twitter": "https://twitter.com/hadleywickham/",
"github": "https://github.com/hadley",
"linkedin": null,
"affiliation": "https://rstudio.com"
},
"username": "hadley_wickham.1v9f0jhr",
"photo": "https://raw.githubusercontent.com/rstudio/rstudio-conf-2022-program/main/assets/img/2022Conf/_talks/22110_hadley-wickham.jpg",
"bio": "<p>Hadley is Chief Scientist at RStudio, winner of the 2019 COPSS award,\nand a member of the R Foundation. He builds tools (both computational\nand cognitive) to make data science easier, faster, and more fun. His\nwork includes packages for data science (like the tidyverse, which\nincludes ggplot2, dplyr, and tidyr)and principled software development\n(e.g. roxygen2, testthat, and pkgdown). He is also a writer, educator,\nand speaker promoting the use of R for data science. Learn more on his\nwebsite, <a href=\"http://hadley.nz\">http://hadley.nz<\/a>.<\/p>\n"
}
]
},
"summarizing-projects-to-setting-tags": {
"talk": {
"id": 22103,
"slug": "summarizing-projects-to-setting-tags",
"type": "Regular",
"tags": [
"programming",
"recreational",
"tool"
],
"sched_url": "https://rstudioconf2022.sched.com/event/11ibc",
"title": "From summarizing projects to setting tags, uses of parsing R files",
"title_short": "From summarizing projects to setting tags, uses of parsing R files",
"materials_url": "https://github.com/brshallo/funspotr-rstudioconf2022",
"abstract": "<p>I'll walk through a few potential uses of parsing out the functions and packages in projects.<\/p>\n<ul>\n<li>Creating a reference table: With so many #rstats learning materials out there, it's often helpful to parse-out the functions from a project and create a lookup table that complements your notes.<\/li>\n<li>Analyzing files: A network visualization of the packages may provide insights as to which files or projects are most related to one another as well as which packages are most central to a body of work.<\/li>\n<li>Setting tags: Picking good consistent tags for your blogdown website is hard. It's easier to just parse out the packages in each post and use those to organize your website.<\/li>\n<\/ul>\n<p>Examples will use helpers from the new {funspotr} package: https://github.com/brshallo/funspotr/<\/p>\n<p>Talk materials are available at <a href=\"https://github.com/brshallo/funspotr-rstudioconf2022\" target=\"_blank\">https://github.com/brshallo/funspotr-rstudioconf2022<\/a>.",
"video": "qqc9892w8l",
"day": "2022-07-28",
"start": "2022-07-28T15:40:00ZEDT",
"end": "2022-07-28T16:00:00ZEDT",
"start_local": "03:40 PM",
"end_local": "04:00 PM"
},
"session": {
"slug": "advanced-r",
"title": "Just typing R code: advanced R programming",
"room": "National Harbor 10+11",
"slido": "https://sli.do/DCA",
"day": "2022-07-28",
"start": "2022-07-28T15:20:00ZEDT",
"end": "2022-07-28T16:20:00ZEDT",
"start_local": "03:20 PM",
"end_local": "04:20 PM"
},
"speakers": [
{
"name": "Bryan Shalloway",
"affiliation": "NetApp",
"url": {
"webpage": "https://www.bryanshalloway.com/",
"twitter": "https://twitter.com/brshallo",
"github": "https://github.com/brshallo",
"linkedin": "https://www.linkedin.com/in/bryanshalloway",
"affiliation": "https://www.netapp.com/"
},
"username": "brshallo",
"photo": "https://raw.githubusercontent.com/rstudio/rstudio-conf-2022-program/main/assets/img/2022Conf/_talks/22103_bryan-shalloway.jpg",
"bio": "<p>Bryan is a Data Scientist at NetApp where he has worked on a\nwide range of internal operations problems in Customer Support,\nForecasting, and Pricing Optimization. He also leads internal\nstudy groups on books like <em>Feature Engineering and Selection<\/em> and\n<em>Interpretable Machine Learning<\/em>. His writing on data science topics\ncan be found at bryanshalloway.com. Bryan previously worked as a\nschool analyst in Colorado and as a high school math teacher in North\nCarolina. He holds a Master's in Advanced Analytics from NC State and\nstudied Cognitive Neuroscience at Washington University in St. Louis.\nBryan lives in Seattle and in his spare time can be found reading the\nnewsletters of various public policy wonks or listening to podcasts\nwhile cooking, cleaning, running, ...{insert any activity}.<\/p>\n"
}
]
},
"introducing-rhino-shiny-application-framework": {
"talk": {
"id": 22080,
"slug": "introducing-rhino-shiny-application-framework",
"type": "Regular",
"tags": [
"production",
"shiny",
"tool"
],
"sched_url": "https://rstudioconf2022.sched.com/event/11ibf",
"title": "Introducing Rhino: Shiny application framework for enterprise",
"title_short": "Introducing Rhino",
"materials_url": null,
"abstract": "<p>R and Shiny are ready for production use in Enterprise. As Appsilon, we have\nworked with tens of top global companies on their Shiny projects. Emphasis\non UI, monitoring users’ behavior, and solid engineering principles made the\ndifference. These are some of the practices that made projects impactful.\nWe want to help ourselves and the community to leverage best practices that\nhave worked for us so far. That’s why we built Rhino - the new framework for\nShiny in Enterprise. Kamil Żyła is a senior software engineer at Appsilon and\nRhino’s creator. He will share our experiences in ensuring the success of Shiny\nprojects. You will see why you may want to try Rhino in your next (or current)\nproject!<\/p>\n",
"video": "7u3ig78xsn",
"day": "2022-07-28",
"start": "2022-07-28T15:20:00ZEDT",
"end": "2022-07-28T15:40:00ZEDT",
"start_local": "03:20 PM",
"end_local": "03:40 PM"
},
"session": {
"slug": "big-shiny-apps",
"title": "I like big apps: shiny apps that scale",
"room": "Potomac D",
"slido": "https://sli.do/INSPIRE",
"day": "2022-07-28",
"start": "2022-07-28T15:20:00ZEDT",
"end": "2022-07-28T16:20:00ZEDT",
"start_local": "03:20 PM",
"end_local": "04:20 PM"
},
"speakers": [
{
"name": "Kamil Zyla",
"affiliation": "Appsilon",
"url": {
"webpage": null,
"twitter": null,
"github": "https://github.com/kamilzyla",
"linkedin": "https://www.linkedin.com/in/kamil-zyla/",
"affiliation": null
},
"username": "kamil_zyla",
"photo": "https://raw.githubusercontent.com/rstudio/rstudio-conf-2022-program/main/assets/img/2022Conf/_talks/22080_kamil-zyla.jpg",
"bio": "<p>Kamil is a Full Stack Engineer at Appsilon and a core developer of\nRhino. He learned to code at the age of 15 and used to participate\nin programming competitions. He earned degrees in computer science\nand mathematics. His interests include programming language theory,\nsoftware development processes and working across technologies. He’s\npassionate about jazz, spirituality and psychology.<\/p>\n"
}
]
},
"robust-framework-for-automated-shiny": {
"talk": {
"id": 22091,
"slug": "robust-framework-for-automated-shiny",
"type": "Regular",
"tags": [
"production",
"programming",
"shiny"
],
"sched_url": "https://rstudioconf2022.sched.com/event/11ibQ",
"title": "A Robust Framework for Automated Shiny App Testing",
"title_short": "A Robust Framework for Automated Shiny App Testing",
"materials_url": null,
"abstract": "<p>For production-grade Shiny applications, regression testing ensures that the\napplication maintains its core functionality as new features are added to the\napp. With the help of various R and Python tools that programmatically interact\nwith the UI and examine UI outputs, regression test logic can be represented\nprogrammatically and can run as often as needed. This gives the development team\nan opportunity to catch and fix bugs before they are pushed to production.<\/p>\n<p>In this talk, I will introduce a framework for automated testing of Shiny\napplications both (1) during the development phase and (2) after the app is\ndeployed. I will share a demo Shiny app along with relevant shinytest2 and\nSelenium code.<\/p>\n",
"video": "qr1v69pt1x",
"day": "2022-07-28",
"start": "2022-07-28T15:40:00ZEDT",
"end": "2022-07-28T16:00:00ZEDT",
"start_local": "03:40 PM",
"end_local": "04:00 PM"
},
"session": {
"slug": "big-shiny-apps",
"title": "I like big apps: shiny apps that scale",
"room": "Potomac D",
"slido": "https://sli.do/INSPIRE",
"day": "2022-07-28",
"start": "2022-07-28T15:20:00ZEDT",
"end": "2022-07-28T16:20:00ZEDT",
"start_local": "03:20 PM",
"end_local": "04:20 PM"
},
"speakers": [
{
"name": "Sydeaka Watson",
"affiliation": "Eli Lilly and Co",
"url": {
"webpage": "https://www.sydeaka.com/",
"twitter": "https://twitter.com/SydeakaWatson",
"github": "https://github.com/sydeaka",
"linkedin": "https://www.linkedin.com/in/sydeakawatson/",
"affiliation": "https://www.lilly.com/"
},
"username": "sydeaka_watson",
"photo": "https://raw.githubusercontent.com/rstudio/rstudio-conf-2022-program/main/assets/img/2022Conf/_talks/22091_sydeaka-watson.jpeg",
"bio": "<p>Dr. Sydeaka Watson earned a Ph.D. in Statistics from Baylor University\nand has several years of teaching experience. As a Research Assistant\nProfessor in The University of Chicago Biostatistics Laboratory, she\nconsulted with over 110 biomedical research teams, specializing in\nstatistical analysis and experimental design for clinical research\nstudies. In both of her Senior Data Scientist roles in the AT&T Chief\nData Office and at Elicit Insights, she used predictive analytics\nand visual tools to implement custom solutions for customer behavior\nanalytics and customer management. Now, as Senior Advisor in the Eli\nLilly Statistical Innovation Center, Dr. Watson develops tools that\nenhance clinical trial design workflows using machine learning, big\ndata technologies, and data visualization.<\/p>\n"
}
]
},
"shinytest2-unit-testing-for-shiny": {
"talk": {
"id": 22115,
"slug": "shinytest2-unit-testing-for-shiny",
"type": "Regular",
"tags": [
"programming",
"shiny"
],
"sched_url": "https://rstudioconf2022.sched.com/event/11ibY",
"title": "{shinytest2}: Regression testing for Shiny applications",
"title_short": "{shinytest2}",
"materials_url": "https://bit.ly/shinytest2-conf22",
"abstract": "<p>Manually testing Shiny applications is often laborious, inconsistent, and\ndoesn’t scale well. Whether you are developing new features, fixing bug(s),\nor simply upgrading dependencies, it is critical to know when regressions are\nintroduced. The new {shinytest2} R package provides a toolkit for unit testing\nShiny apps and seamlessly integrates with {testthat}. Under the hood, it uses\nthe new {chromote} R package to render apps in a headless Chrome browser with\nfeatures such as live preview and built in debugging tools. In this talk,\nyou’ll learn how to test Shiny apps by simply recording your actions as code\nand extending it to test more particular aspects of your app, resulting in fewer\nbugs and more confidence in future development.<\/p>\n<p>Talk materials are available at <a href=\"https://bit.ly/shinytest2-conf22\" target=\"_blank\">https://bit.ly/shinytest2-conf22<\/a>.",
"video": "4jakpxtzgb",
"day": "2022-07-28",
"start": "2022-07-28T16:00:00ZEDT",
"end": "2022-07-28T16:20:00ZEDT",
"start_local": "04:00 PM",
"end_local": "04:20 PM"
},
"session": {
"slug": "big-shiny-apps",
"title": "I like big apps: shiny apps that scale",
"room": "Potomac D",
"slido": "https://sli.do/INSPIRE",
"day": "2022-07-28",
"start": "2022-07-28T15:20:00ZEDT",
"end": "2022-07-28T16:20:00ZEDT",
"start_local": "03:20 PM",
"end_local": "04:20 PM"
},
"speakers": [
{
"name": "Barret Schloerke",
"affiliation": "RStudio",
"url": {
"webpage": "http://schloerke.com/",
"twitter": "https://twitter.com/schloerke",
"github": "https://github.com/schloerke",
"linkedin": "https://www.linkedin.com/in/schloerke/",
"affiliation": "https://www.rstudio.com/"
},
"username": "barret_schloerke",
"photo": "https://raw.githubusercontent.com/rstudio/rstudio-conf-2022-program/main/assets/img/2022Conf/_talks/22115_barret-schloerke.png",
"bio": "<p><code>hello()<\/code>! Dr. Barret Schloerke is a Shiny Software Engineer\nat RStudio. He currently maintains and creates many R packages\nsurrounding the Shiny ecosystem, including <code>{shiny}<\/code>, <code>{shinytest2}<\/code>,\n<code>{reactlog}<\/code>, and <code>{plumber}<\/code>.<\/p>\n"
}
]
},
"leveraging-r-based-ecosystem": {
"talk": {
"id": 22102,
"slug": "leveraging-r-based-ecosystem",
"type": "Regular",
"tags": [
"process",
"story",
"tidyverse",
"tool"
],
"sched_url": "https://rstudioconf2022.sched.com/event/11iaw",
"title": "Digging a Pit of Success for Your Organization: Embracing a R-based ecosystem in the US federal government",
"title_short": "Digging a Pit of Success for Your Organization",
"materials_url": "https://speakerdeck.com/achafetz/digging-a-pit-of-success-for-your-organization",
"abstract": "<p>How does a US federal agency analyze tens of millions of records across\n30,000 sites in over 50 countries analyze these data efficiently and\neffectively? Five years ago, our team ventured beyond the confines of (largely)\nExcel and towards leveraging R to be more efficient in our analysis and\nworkflows since data is instrumental to the mission of ending the global HIV\nepidemic. We have created our own 'pit of success', providing analysts the\ninfrastructure and support needed to ease the learning of and working with R in\nour specific context. We will be sharing our experiences in digging this 'pit\nof success' that organizations would benefit from.<\/p>\n<p>Talk materials are available at <a href=\"https://speakerdeck.com/achafetz/digging-a-pit-of-success-for-your-organization\" target=\"_blank\">https://speakerdeck.com/achafetz/digging-a-pit-of-success-for-your-organization<\/a>.",
"video": "sqe2d9rt7u",
"day": "2022-07-28",
"start": "2022-07-28T14:10:00ZEDT",
"end": "2022-07-28T14:30:00ZEDT",
"start_local": "02:10 PM",
"end_local": "02:30 PM"
},
"session": {
"slug": "bringing-people-together",
"title": "Cat herding: solving big problems by bringing people together",
"room": "Potomac C",
"slido": "https://sli.do/R4DS",
"day": "2022-07-28",
"start": "2022-07-28T13:30:00ZEDT",
"end": "2022-07-28T14:50:00ZEDT",
"start_local": "01:30 PM",
"end_local": "02:50 PM"
},
"speakers": [
{
"name": "Aaron Chafetz",
"affiliation": "US Agency for International Development",
"url": {
"webpage": null,
"twitter": "https://twitter.com/achafetz",
"github": "https://github.com/achafetz",
"linkedin": "https://www.linkedin.com/in/aaron-chafetz",
"affiliation": "https://www.usaid.gov/"
},
"username": "achafetz",
"photo": "https://raw.githubusercontent.com/rstudio/rstudio-conf-2022-program/main/assets/img/2022Conf/_talks/22102_aaron-chafetz.jpg",
"bio": "<p>Aaron Chafetz is a Senior Economist at the U.S. Agency for\nInternational Development (USAID) in the Office of HIV/AIDS, where he\nspecializes in quantitative analysis of global health data. Most of\nhis work is concentrated in analyzing large quantities of data from\nhealth facilities and communities around the world, identifying indicator\ntrends and outliers to inform data drive decision making within the\ninteragency space of PEPFAR, the President’s Emergency Plan for AIDS\nRelief. Aaron works with a small team of data scientists and analysts,\nhelping to advance analytics, tools, and communication both at\nheadquarters and the field. He has held prior positions at USAID since 2013,\nworking for the Agency’s Chief Economist and serving in the Office of\nEconomic Policy. He received his Master's in Public Policy from the\nUniversity of Virginia after studying economics and foreign affairs\nthere as well for his undergraduate degree.<\/p>\n"
}
]
},
"model-migration-excel-to-r": {
"talk": {
"id": 22024,
"slug": "model-migration-excel-to-r",
"type": "Regular",
"tags": [
"interop",
"modeling",
"story"
],
"sched_url": "https://rstudioconf2022.sched.com/event/11ibD",
"title": "Model Migration: from Excel to R",
"title_short": "Model Migration",
"materials_url": null,
"abstract": "<p>Many companies within the insurance and financial sector maintain a large\nnumber of legacy models in the platform Microsoft Excel. With the advent of\ndata analytics, many of these same companies are now looking to migrate their\nexisting models from an Excel environment into an R environment. This process,\nhowever, is not foolproof. I should know as I have had to do it several times!\nHaving made many mistakes myself, I would like to provide some tips to help\nfuture analysts and companies outside of the technology industry overcome some\ncommon pitfalls that they may encounter during the model migration process.<\/p>\n",
"video": "7r02zirage",
"day": "2022-07-28",
"start": "2022-07-28T13:30:00ZEDT",
"end": "2022-07-28T13:50:00ZEDT",
"start_local": "01:30 PM",
"end_local": "01:50 PM"
},
"session": {
"slug": "bringing-people-together",
"title": "Cat herding: solving big problems by bringing people together",
"room": "Potomac C",
"slido": "https://sli.do/R4DS",
"day": "2022-07-28",
"start": "2022-07-28T13:30:00ZEDT",
"end": "2022-07-28T14:50:00ZEDT",
"start_local": "01:30 PM",
"end_local": "02:50 PM"
},
"speakers": [
{
"name": "Johnny Breen",
"affiliation": "Tokio Marine Kiln",
"url": {
"webpage": "https://non-std-dev.netlify.app/",
"twitter": "https://twitter.com/johnnyb1694",
"github": "https://github.com/johnnyb1694",
"linkedin": "https://www.linkedin.com/in/johnnybreen/",
"affiliation": "https://www.tokiomarinekiln.com/"
},
"username": "johnny_breen",
"photo": "https://raw.githubusercontent.com/rstudio/rstudio-conf-2022-program/main/assets/img/2022Conf/_talks/22024_johnny-breen.jpeg",
"bio": "<p>Currently working as Portfolio Optimisation Lead at Tokio Marine Kiln,\nI am passionate about enhancing the computational aspects of actuarial\nwork in the insurance industry and the London market. My interest\nin R began after completing a data science project during a master's\nprogramme in London. It has since developed over the past 6 years into\na loving relationship, which I would not change for the world!<\/p>\n"
}
]
},
"save-ocean-of-time-streamline": {
"talk": {
"id": 22146,
"slug": "save-ocean-of-time-streamline",
"type": "Regular",
"tags": [
"champion",
"process",
"story"
],
"sched_url": "https://rstudioconf2022.sched.com/event/11ib4",
"title": "Save an ocean of time: streamline data wrangling with R",
"title_short": "Save an ocean of time",
"materials_url": "https://github.com/dempsey-CMAR/2022_rstudio_conf",
"abstract": "<p>My organization currently has over 250 oceanographic sensors deployed around\nthe coast of Nova Scotia, Canada. Together, these generate around 4 million\nrows of data every year. I was shocked when I discovered my colleagues\nmanually compiled, formatted, and analyzed these data using hundreds of\nExcel spreadsheets. This was highly time consuming, error prone, and lacked\ntraceability. To improve this workflow, I developed an R package that reduced\nprocessing time by 95%. The package has since become integral to our data\npipeline, including quality control, analysis, visualization, and report\ngeneration in RMarkdown. The resulting datasets have already proven invaluable\nto industry leaders looking to invest in Nova Scotia’s coastal resources.<\/p>\n<p>Talk materials are available at <a href=\"https://github.com/dempsey-CMAR/2022_rstudio_conf\" target=\"_blank\">https://github.com/dempsey-CMAR/2022_rstudio_conf<\/a>.",
"video": "wn62rdaxy4",
"day": "2022-07-28",
"start": "2022-07-28T14:30:00ZEDT",
"end": "2022-07-28T14:50:00ZEDT",
"start_local": "02:30 PM",
"end_local": "02:50 PM"
},
"session": {
"slug": "bringing-people-together",
"title": "Cat herding: solving big problems by bringing people together",
"room": "Potomac C",
"slido": "https://sli.do/R4DS",
"day": "2022-07-28",
"start": "2022-07-28T13:30:00ZEDT",
"end": "2022-07-28T14:50:00ZEDT",
"start_local": "01:30 PM",
"end_local": "02:50 PM"
},
"speakers": [
{
"name": "Danielle Dempsey",
"affiliation": "Centre for Marine Applied Research",
"url": {
"webpage": null,
"twitter": "https://twitter.com/Dr_DDempsey",
"github": "https://github.com/dempsey-CMAR",
"linkedin": "https://www.linkedin.com/in/danielledempsey/",
"affiliation": "https://cmar.ca/"
},
"username": "danielle_dempsey",
"photo": "https://raw.githubusercontent.com/rstudio/rstudio-conf-2022-program/main/assets/img/2022Conf/_talks/22146_danielle-dempsey.jpg",
"bio": "<p>Danielle Dempsey is a Research Scientist and resident “R nerd” at the\nCentre for Marine Applied Research in Nova Scotia, Canada. Danielle\nenjoys developing code to automate repetitive tasks and improve\nworkflows. She has written several R packages to facilitate ocean data\nwrangling and analysis, and designed Shiny dashboards for interactive\ndata visualization.<\/p>\n"
}
]
},
"tidy-transit-real-life-data": {
"talk": {
"id": 22059,
"slug": "tidy-transit-real-life-data",
"type": "Regular",
"tags": [
"design",
"interop",
"process",
"tidyverse"
],
"sched_url": "https://rstudioconf2022.sched.com/event/11iap",
"title": "Tidy Transit: Real Life Data Modeling for Public Transportation",
"title_short": "Tidy Transit",
"materials_url": null,
"abstract": "<p>California Integrated Travel Project’s mission is to make transit across\nCalifornia simpler and more affordable. As part of this, we created an open\nsource data warehouse to allow easy analysis of the travel data people often\ninteract with every day.<\/p>\n<p>In this talk we’ll discuss two big challenges we faced:<\/p>\n<p>Creating tidy representations of daily schedules and payments data across 200\ntransit agencies. Enabling people with a range of backgrounds (R, SQL, and\npython) and experience to quickly analyze the data.<\/p>\n<p>Tidy data allowed us to turn equal focus on agencies running a single bus, and\nthose serving entire metropolitan areas.<\/p>\n",
"video": "gve42gxp10",
"day": "2022-07-28",
"start": "2022-07-28T13:50:00ZEDT",
"end": "2022-07-28T14:10:00ZEDT",
"start_local": "01:50 PM",
"end_local": "02:10 PM"
},
"session": {
"slug": "bringing-people-together",
"title": "Cat herding: solving big problems by bringing people together",
"room": "Potomac C",
"slido": "https://sli.do/R4DS",
"day": "2022-07-28",
"start": "2022-07-28T13:30:00ZEDT",
"end": "2022-07-28T14:50:00ZEDT",
"start_local": "01:30 PM",
"end_local": "02:50 PM"
},
"speakers": [
{
"name": "Hunter Owens",
"affiliation": "California Department of Transportation",
"url": {
"webpage": "hunterowens.net",
"twitter": "https://twitter.com/hunter_owens",
"github": "https://github.com/hunterowens",
"linkedin": null,
"affiliation": "calitp.org"
},
"username": "hunter_owens",
"photo": "https://raw.githubusercontent.com/rstudio/rstudio-conf-2022-program/main/assets/img/2022Conf/_talks/22059_hunter-owens.png",
"bio": "<p>Hunter Owens does data science in the public interest. Current at\nCaltrans, he has worked at the City of Los Angeles, the Center for\nData Science and Public Policy, and Obama for America. I spend a lot\nof time thinking about cities, data pipelines and tacos.<\/p>\n"
}
]
},
"building-client-portal-app": {
"talk": {
"id": 22053,
"slug": "building-client-portal-app",
"type": "Regular",
"tags": [
"finance",
"interop",
"shiny"
],
"sched_url": "https://rstudioconf2022.sched.com/event/11iYb",
"title": "Building a client portal app for a mortgage management group with embedded Power BI reports",
"title_short": "Building a client portal app with embedded Power BI reports",
"materials_url": null,
"abstract": "<p>With the Dutch Mortgage Portfolio Management Group we built a client portal for\ntheir customers wanting insights into their mortgage investment portfolio. This\nwas done with a Shiny app that runs in Azure App Service, with plumber APIs\nserving portfolio reports, and embedded power bi reports with clear and easy to\nmaintain dashboards.<\/p>\n<p>Last year we saw a lot of great content on how to combine Tableau with Rstudio\nConnect, in this talk we have answers for the Power BI users. An interesting\nexample of combining self-service BI with serious data science.<\/p>\n<p>When Microsoft itself mentions\n<a href=\"https://www.youtube.com/watch?v=07j22d4B_hA&t=3517s\">"we did not know how to do this<\/a>,\nyou know you have an interesting topic for rstudio::conf.<\/p>\n",
"video": "92zkp22qhh",
"day": "2022-07-27",
"start": "2022-07-27T11:40:00ZEDT",
"end": "2022-07-27T12:00:00ZEDT",
"start_local": "11:40 AM",
"end_local": "12:00 PM"
},
"session": {
"slug": "business-intelligence",
"title": "Business intelligence",
"room": "Potomac C",
"slido": "https://sli.do/R4DS",
"day": "2022-07-27",
"start": "2022-07-27T11:00:00ZEDT",
"end": "2022-07-27T12:00:00ZEDT",
"start_local": "11:00 AM",
"end_local": "12:00 PM"
},
"speakers": [
{
"name": "Thomas Wouters",
"affiliation": "AXI Full Service RStudio Partner",
"url": {
"webpage": "https://www.axi.be/nl/business-insights",
"twitter": null,
"github": null,
"linkedin": "https://www.linkedin.com/in/thomas-wouters/",
"affiliation": "https://www.axi.be/nl"
},
"username": "thomas_wouters",
"photo": "https://raw.githubusercontent.com/rstudio/rstudio-conf-2022-program/main/assets/img/2022Conf/_talks/22053_thomas-wouters.jpg",
"bio": "<p>Thomas Wouters is a young man who is recently graduated in Applied\nComputer Science. First started as a Business Analyst but quickly\nmoved to a more sales-oriented position. Because of his enormous\naffinity with data & analytics, this fits perfectly in the search for\ncustomers to solve their problems in the field of data analytics. He\nwill highlight the topic on how to embed Power BI in Rstudio.<\/p>\n"
},
{
"name": "Joran De Wilde",
"affiliation": "AXI Full Service RStudio Partner",
"url": {
"webpage": "https://www.axi.be/nl/business-insights",
"twitter": null,
"github": null,
"linkedin": "https://www.linkedin.com/in/joran-de-wilde-0b952b174/",
"affiliation": "https://www.axi.be"
},
"username": "joran_de_wilde",
"photo": "https://raw.githubusercontent.com/rstudio/rstudio-conf-2022-program/main/assets/img/2022Conf/_talks/22053_joran-de-wilde.png",
"bio": "<p>Joran is a 24 year old man who recently graduated as Master of ICT\nEngineering. He currently works as a consultant data scientist. In\nthis role he developped multiple shiny applications for a broad scala\nof different industries, ranging from the public sector to the retail\nor finance sector. He will highlight the topic on how to embed Power\nBI in Rstudio.<\/p>\n"
}
]
},
"r-python-tableau-love-triangle": {
"talk": {
"id": 22042,
"slug": "r-python-tableau-love-triangle",
"type": "Regular",
"tags": [
"interop",
"pro-products"
],
"sched_url": "https://rstudioconf2022.sched.com/event/11iYQ",
"title": "R, Python, and Tableau: A Love Triangle",
"title_short": "R, Python, and Tableau",
"materials_url": null,
"abstract": "<p>Users often want access to more advanced analytic capabilities in their Tableau\ndashboards. Together we will walk through an example that highlights how new\nopen-source packages enable R, Python, Tableau, and RStudio Connect to work\ntogether to enhance business intelligence and deliver real-time insight.<\/p>\n",
"video": "tdlzzq0kdg",
"day": "2022-07-27",
"start": "2022-07-27T11:20:00ZEDT",
"end": "2022-07-27T11:40:00ZEDT",
"start_local": "11:20 AM",
"end_local": "11:40 AM"
},
"session": {
"slug": "business-intelligence",
"title": "Business intelligence",
"room": "Potomac C",
"slido": "https://sli.do/R4DS",
"day": "2022-07-27",
"start": "2022-07-27T11:00:00ZEDT",
"end": "2022-07-27T12:00:00ZEDT",
"start_local": "11:00 AM",
"end_local": "12:00 PM"
},
"speakers": [
{
"name": "James Blair",
"affiliation": "RStudio",
"url": {
"webpage": null,
"twitter": "https://twitter.com/Blair09M",
"github": "https://github.com/blairj09",
"linkedin": "https://www.linkedin.com/in/blairjm/",
"affiliation": "https://www.rstudio.com/"
},
"username": "james_blair",
"photo": "https://raw.githubusercontent.com/rstudio/rstudio-conf-2022-program/main/assets/img/2022Conf/_talks/22042_james-blair.jpg",
"bio": "<p>James is a Product Manager for Cloud Integrations at RStudio, where\nhe focuses on helping RStudio commercial products seemlessly integrate\ninto cloud environments. He has a background in statistics and data\nscience and finds any excuse he can to write R code and ride his bike,\nalthough usually not at the same time.<\/p>\n"
}
]
},
"tidyverse-power-bi-match-made": {
"talk": {
"id": 22013,
"slug": "tidyverse-power-bi-match-made",
"type": "Regular",
"tags": [
"interop",
"tidyverse"
],
"sched_url": "https://rstudioconf2022.sched.com/event/11iYH",
"title": "The R integration in Power BI: Why R developers should be Interested",
"title_short": "Tidyverse and Power BI",
"materials_url": null,
"abstract": "<p>Power BI is a multi-faceted business intelligence tool with built-in data\ningestion, transformation, and visualization features. The learning curve\nfor Power BI can be steep for many, but fortunately, R users can shorten the\nlearning curve by leveraging the Tidyverse. In this talk, attendees will get\nintroduced to how the Tidyverse can shorten the Power BI learning curve and\nenable them to perform tasks in Power BI that are not possible using its native\nfunctionality.<\/p>\n",
"video": "58m22jg5w7",
"day": "2022-07-27",
"start": "2022-07-27T11:00:00ZEDT",
"end": "2022-07-27T11:20:00ZEDT",
"start_local": "11:00 AM",
"end_local": "11:20 AM"
},
"session": {
"slug": "business-intelligence",
"title": "Business intelligence",
"room": "Potomac C",
"slido": "https://sli.do/R4DS",
"day": "2022-07-27",
"start": "2022-07-27T11:00:00ZEDT",
"end": "2022-07-27T12:00:00ZEDT",
"start_local": "11:00 AM",
"end_local": "12:00 PM"
},
"speakers": [
{
"name": "Ryan E Wade",
"affiliation": null,
"url": {
"webpage": null,
"twitter": null,
"github": null,
"linkedin": "https://www.linkedin.com/in/mrdatageek/",
"affiliation": null
},
"username": "ryan_e_wade",
"photo": "https://raw.githubusercontent.com/rstudio/rstudio-conf-2022-program/main/assets/img/2022Conf/_talks/22013_ryan-e-wade.jpg",
"bio": "<p>Ryan is a data and analytics solutions architect. He can present\ncomplex data intuitively using proper analytical and visualization\nmethods. He has an advanced understanding of R, Python, DAX, SQL, VBA,\nand M. He is the author of the book, <em><strong>Advanced Analytics in Power BI\nwith R and Python<\/strong><\/em>.<\/p>\n"
}
]
},
"building-accessible-lessons-r-friends": {
"talk": {
"id": 22120,
"slug": "building-accessible-lessons-r-friends",
"type": "Regular",
"tags": [
"access",
"communication",
"community",
"teaching",
"tool"
],
"sched_url": "https://rstudioconf2022.sched.com/event/11ibJ",
"title": "Building Accessible Lessons with R and Friends",
"title_short": "Building Accessible Lessons with R and Friends",
"materials_url": "https://github.com/zkamvar/rstudio-conf-2022",
"abstract": "<p>The Carpentries is a global community of volunteers who collaboratively develop\nand deliver lessons to build capacity in data and coding skills to researchers\nworldwide. In the recent redesign of our lesson infrastructure (serving >100\nlessons, used daily by >5K learners), we replaced embedded Jekyll templates\nwith a workbench of modular and accessible packages using R and Pandoc. By\nleveraging renv and knitr for R-based lessons, we provide a seamless and\ncollaborative lesson development experience that maximizes reproducibility and\nminimizes frustration so authors can focus on the contents, not the tooling.\nWe demonstrate how anyone can use our infrastructure to build customised and\naccessible sites for their own lessons or tutorials.<\/p>\n<p>Talk materials are available at <a href=\"https://github.com/zkamvar/rstudio-conf-2022\" target=\"_blank\">https://github.com/zkamvar/rstudio-conf-2022<\/a>.",
"video": "ssot3tfv28",
"day": "2022-07-28",
"start": "2022-07-28T13:50:00ZEDT",
"end": "2022-07-28T14:10:00ZEDT",
"start_local": "01:50 PM",
"end_local": "02:10 PM"
},
"session": {
"slug": "communities-of-practice",
"title": "It takes a village: building communities of practice",
"room": "Cherry Blossom",
"slido": "https://sli.do/CONNECTED",
"day": "2022-07-28",
"start": "2022-07-28T13:30:00ZEDT",
"end": "2022-07-28T14:50:00ZEDT",
"start_local": "01:30 PM",
"end_local": "02:50 PM"
},
"speakers": [
{
"name": "Zhian N. Kamvar",
"affiliation": "The Carpentries",
"url": {
"webpage": "https://zkamvar.netlify.app",
"twitter": "https://twitter.com/zkamvar",
"github": "https://github.com/zkamvar",
"linkedin": "https://linkedin.com/in/zkamvar",
"affiliation": "https://carpentries.org"
},
"username": "zhiann.kamvar",
"photo": "https://raw.githubusercontent.com/rstudio/rstudio-conf-2022-program/main/assets/img/2022Conf/_talks/22120_zhian-n-kamvar.png",
"bio": "<p>Zhian is the Lesson Infrastructure Technology Developer for <a href=\"https://carpentries.org\">The\nCarpentries<\/a>, brining data science skills to\nresearchers worldwide. He has been publishing R packages since 2013\nand is a recovering bioinformatician located in Beaverton, Oregon,\nUSA. Outside of R, he enjoys bicycle rides, speculative fiction,\ncats, the musical stylings of <a href=\"https://screamingfemales.bandcamp.com/\">The Screaming\nFemales<\/a>, platelet donation,\nand baking.<\/p>\n"
}
]
},
"everything-learned-community-building-learned": {
"talk": {
"id": 22123,
"slug": "everything-learned-community-building-learned",
"type": "Regular",
"tags": [
"career-development",
"community",
"story"
],
"sched_url": "https://rstudioconf2022.sched.com/event/11iat",
"title": "Everything I learned about community building, I learned from growing up in a restaurant",
"title_short": "Everything I learned about community building from growing up in a restaurant",
"materials_url": null,
"abstract": "<p>In community conversations at the Data Science Hangout, we’ve talked about\nmisalignment between what recruiters are looking for and who is actually a great\nfit for a role. At one point, people started sharing their own degrees in the\nchat: sociology, political science, finance, psychology, no degree, etc.<\/p>\n<p>What makes us good at our jobs is so much more than the degree that we have.<\/p>\n<p>I’m not a data scientist. When I think about my own role though, much of my\nintuition comes from growing up in a restaurant and watching my mom create a\ncommunity among customers.<\/p>\n<p>This talk will share a few community building tips to get you started and\nperhaps a little inspiration to consider the other skills that qualify you for\nwhat you want to do.<\/p>\n",
"video": "f46p583jaw",
"day": "2022-07-28",
"start": "2022-07-28T14:10:00ZEDT",
"end": "2022-07-28T14:30:00ZEDT",
"start_local": "02:10 PM",
"end_local": "02:30 PM"
},
"session": {
"slug": "communities-of-practice",
"title": "It takes a village: building communities of practice",
"room": "Cherry Blossom",
"slido": "https://sli.do/CONNECTED",
"day": "2022-07-28",
"start": "2022-07-28T13:30:00ZEDT",
"end": "2022-07-28T14:50:00ZEDT",
"start_local": "01:30 PM",
"end_local": "02:50 PM"
},
"speakers": [
{
"name": "Rachael Dempsey",
"affiliation": "RStudio",
"url": {
"webpage": "https://rstudio.com/champion",
"twitter": "https://twitter.com/_RachaelDempsey",
"github": null,
"linkedin": "https://linkedin.com/in/rachaeldempsey",
"affiliation": "https://rstudio.com/champion"
},
"username": "rachael115",
"photo": "https://raw.githubusercontent.com/rstudio/rstudio-conf-2022-program/main/assets/img/2022Conf/_talks/22123_rachael-dempsey.png",
"bio": "<p>Rachael is a community leader at RStudio with a passion for customer\nexperience and making people happy. She enjoys connecting people,\nspending time with family and friends, being outdoors, and any\nopportunity to find live music.<\/p>\n"
}
]
},
"journey-to-data-science-tools": {
"talk": {
"id": 22083,
"slug": "journey-to-data-science-tools",
"type": "Regular",
"tags": [
"access",
"career-development",
"community",
"story"
],
"sched_url": "https://rstudioconf2022.sched.com/event/11ib8",
"title": "A Journey to Data Science: Tools for Equity and Diversity in STEM",
"title_short": "A Journey to Data Science",
"materials_url": null,
"abstract": "<p>Data suggests that less than 3% of data scientists are women of color. My\njourney and that of many other women who fall at the intersection of being\nunderrepresented in this field is one that is often filled with pitfalls and\ncurves that can result in continued exclusion in these spaces. My journey as a\nhistorically excluded double minority in STEM is one of triumph, but not without\nthe community educational tools, online platforms and genuinely inclusive\nmembers of the R Studio and open science communities. My work explores how we\ncan build on these tools and further propel the use of open science as a tool\nfor equity and diversity in STEM, now more than ever.<\/p>\n",
"video": "n7swyzlhs9",
"day": "2022-07-28",
"start": "2022-07-28T13:30:00ZEDT",
"end": "2022-07-28T13:50:00ZEDT",
"start_local": "01:30 PM",
"end_local": "01:50 PM"
},
"session": {
"slug": "communities-of-practice",
"title": "It takes a village: building communities of practice",
"room": "Cherry Blossom",
"slido": "https://sli.do/CONNECTED",
"day": "2022-07-28",
"start": "2022-07-28T13:30:00ZEDT",
"end": "2022-07-28T14:50:00ZEDT",
"start_local": "01:30 PM",
"end_local": "02:50 PM"
},
"speakers": [
{
"name": "Ileana Fenwick",
"affiliation": "UNC Chapel Hill",
"url": {
"webpage": null,
"twitter": "https://twitter.com/_ileanaf",
"github": "https://github.com/IleanaF",
"linkedin": "https://www.linkedin.com/in/ileana-fenwick-0238ba132/",
"affiliation": "https://nye.unc.edu/"
},
"username": "ileana.fenwick",
"photo": "https://raw.githubusercontent.com/rstudio/rstudio-conf-2022-program/main/assets/img/2022Conf/_talks/22083_ileana-fenwick.jpg",
"bio": "<p>Ileana Fenwick is an open science advocate and Marine Sciences Ph.D.\nStudent at UNC Chapel Hill . Ileana's research focuses on evaluating\nhow marine communities respond to climate change and human impacts.\nHer work uses innovative quantitative to improve our ocean management\noutcomes. In addition to her research, Ileana is also a fierce\nadvocate for HBCU engagement and equity in open science and marine\nscience through her consulting and volunteer work.<\/p>\n"
}
]
},
"r-kagglers-intersection-of-data": {
"talk": {
"id": 22208,
"slug": "r-kagglers-intersection-of-data",
"type": "Regular",
"tags": [
"communication",
"community",
"story",
"tidyverse"
],
"sched_url": "https://rstudioconf2022.sched.com/event/11iaz",
"title": "We R KaggleRs - At the Intersection of Data Science Communities",
"title_short": "We R KaggleRs - At the Intersection of Data Science Communities",
"materials_url": null,
"abstract": "<p>In this presentation, I will share my experiences at the intersection of the\nR and Kaggle communities. As Kaggle's first Notebooks Grandmaster, I will talk\nabout how R users can contribute and thrive in an increasingly Python dominated\ncommunity. A strong focus will be on the art of building insightful and engaging\nKaggle notebooks and exploratory data analyses in general. I will share my\nlessons from running a weekly series aimed at promoting underrated Kaggle\nnotebooks and their authors. And I will talk about organising a Kaggle insights\ncompetition aimed at exploring this dataset of 100 episodes, and what it taught\nme about community dynamics, different approaches to exploratory challenges, and\nthe creativity of the participants.<\/p>\n",
"video": "0xqjbkca9i",
"day": "2022-07-28",
"start": "2022-07-28T14:30:00ZEDT",
"end": "2022-07-28T14:50:00ZEDT",
"start_local": "02:30 PM",
"end_local": "02:50 PM"
},
"session": {
"slug": "communities-of-practice",
"title": "It takes a village: building communities of practice",
"room": "Cherry Blossom",
"slido": "https://sli.do/CONNECTED",
"day": "2022-07-28",
"start": "2022-07-28T13:30:00ZEDT",
"end": "2022-07-28T14:50:00ZEDT",
"start_local": "01:30 PM",
"end_local": "02:50 PM"
},
"speakers": [
{
"name": "Martin Henze",
"affiliation": "YipitData",
"url": {
"webpage": "https://www.kaggle.com/headsortails",
"twitter": "https://twitter.com/heads0rtai1s",
"github": null,
"linkedin": "https://www.linkedin.com/in/martin-henze/",
"affiliation": "https://www.yipitdata.com/"
},
"username": "martin_henze",
"photo": "https://raw.githubusercontent.com/rstudio/rstudio-conf-2022-program/main/assets/img/2022Conf/_talks/22208_martin-henze.jpg",
"bio": "<p>Data Scientist @ YipitData | Kaggle Grandmaster | PhD Astrophysicist<\/p>\n"
}
]
},
"bad-data-what-to-do": {
"talk": {
"id": 22153,
"slug": "bad-data-what-to-do",
"type": "Regular",
"tags": [
"career-development",
"process",
"story"
],
"sched_url": "https://rstudioconf2022.sched.com/event/11iYr",
"title": "Garbage Data, And What To Do About Them",
"title_short": "Garbage Data",
"materials_url": null,
"abstract": "<p>No matter the requirements of the project, data are rarely ready for analysis\nwithout some intervention up front, often described as cleaning or tidying up\nyour data. Researchers and data professionals employ many tools to make their\ndata usable for their needs; but, there exist data that are so far beneath the\nthreshold for usefulness that they cannot be used responsibly for analysis or\ndecision-making, i.e. “bad data.” This talk proposes a framework for identifying\nbad data, with examples from both academic and industry; identifies challenges\nyou might face from stakeholders when you identify bad data; and suggests\nconcrete steps you can take to overcome those challenges now and in the future.<\/p>\n",
"video": "uizma940tb",
"day": "2022-07-27",
"start": "2022-07-27T13:50:00ZEDT",
"end": "2022-07-27T14:10:00ZEDT",
"start_local": "01:50 PM",
"end_local": "02:10 PM"
},
"session": {
"slug": "data-quality",
"title": "Generating high quality data",
"room": "National Harbor 10+11",
"slido": "https://sli.do/DCA",
"day": "2022-07-27",
"start": "2022-07-27T13:30:00ZEDT",
"end": "2022-07-27T14:50:00ZEDT",
"start_local": "01:30 PM",
"end_local": "02:50 PM"
},
"speakers": [
{
"name": "Jim Kloet",
"affiliation": null,
"url": {
"webpage": "http://jimkloet.com/",
"twitter": "https://twitter.com/JimKloet",
"github": "https://github.com/jimtheflash",
"linkedin": "https://www.linkedin.com/in/jimkloet/",
"affiliation": null
},
"username": "jim_kloet",
"photo": "https://raw.githubusercontent.com/rstudio/rstudio-conf-2022-program/main/assets/img/2022Conf/_talks/22153_jim-kloet.png",
"bio": "<p>Jim Kloet (<em>Kloet<\/em> rhymes with <em>flute<\/em>) is a data professional in\nChicago. He encourages you to stay hydrated.<\/p>\n"
}
]
},
"making-data-pipelines-in-r": {
"talk": {
"id": 22005,
"slug": "making-data-pipelines-in-r",
"type": "Regular",
"tags": [
"career-development",
"communication",
"story"
],
"sched_url": "https://rstudioconf2022.sched.com/event/11iZI",
"title": "Making Data Pipelines in R: A Story From A “Self-Taught” Perspective",
"title_short": "Making Data Pipelines in R",
"materials_url": "https://github.com/Meghansaha/pipelines_in_R",
"abstract": "<p>When people first learn about R’s capabilities to create fully integrated\nsystems, automated visuals, and seamless data pipelines, the reaction can span\nfrom disbelief to amazement. R’s expansive capabilities can leave some feeling\noverwhelmed when tasked with larger projects like data pipelines. This talk\ninvites the participant to hear the perspective of a self-taught R user who used\ncuriosity and patience to create a functional data pipeline in R for a local\nhealth department. Specifically, this talk will touch on the following concepts:<\/p>\n<ul>\n<li>Surveying Data Landscapes<\/li>\n<li>File Structures<\/li>\n<li>Saving Yourself with Data Validation<\/li>\n<li>Modularizing Code and Connecting R Scripts<\/li>\n<li>Thinking about Pipeline Sustainability<\/li>\n<li>Remaining Calm in Unfamiliar R Territories<\/li>\n<\/ul>\n<p>Talk materials are available at <a href=\"https://github.com/Meghansaha/pipelines_in_R\" target=\"_blank\">https://github.com/Meghansaha/pipelines_in_R<\/a>.",
"video": "je6gf90hyy",
"day": "2022-07-27",
"start": "2022-07-27T13:30:00ZEDT",
"end": "2022-07-27T13:50:00ZEDT",
"start_local": "01:30 PM",
"end_local": "01:50 PM"
},
"session": {
"slug": "data-quality",
"title": "Generating high quality data",
"room": "National Harbor 10+11",
"slido": "https://sli.do/DCA",
"day": "2022-07-27",
"start": "2022-07-27T13:30:00ZEDT",
"end": "2022-07-27T14:50:00ZEDT",
"start_local": "01:30 PM",
"end_local": "02:50 PM"
},
"speakers": [
{
"name": "Meghan S Harris",
"affiliation": "PCCTC @ Memorial Sloan Kettering",
"url": {
"webpage": "https://www.thetidytrekker.com/",
"twitter": "https://twitter.com/meghansharris",
"github": "https://github.com/Meghansaha",
"linkedin": "https://www.linkedin.com/in/meghan-harris/",
"affiliation": "https://pcctc.org/"
},
"username": "meghan_s_harris",
"photo": "https://raw.githubusercontent.com/rstudio/rstudio-conf-2022-program/main/assets/img/2022Conf/_talks/22005_meghan-s-harris.jpg",
"bio": "<p>Meghan Harris is a self-taught R user that is currently a Data Scientist\nat the PCCTC at the Memorial Sloan Kettering Cancer Center. Meghan’s\nwork allows her to work with data, create custom reports, dashboards,\nand various solutions using the R programming language daily. Meghan\nis an advocate for using open-source software when appropriate to encourage\nthe development of programming skills, increased analysis/evaluation autonomy\nfor agencies, and data literacy. In Meghan’s spare time, Meghan creates\ngenerative art in the R programming language, called Rtistry.<\/p>\n"
}
]
},
"project-immortality-github": {
"talk": {
"id": 22168,
"slug": "project-immortality-github",
"type": "Regular",
"tags": [
"process",
"production",
"programming"
],
"sched_url": "https://rstudioconf2022.sched.com/event/11iYz",
"title": "Project Immortality: Using GitHub To Make Your Work Live Forever",
"title_short": "Project Immortality With GitHub",
"materials_url": "https://github.com/tanho63/project_immortality_with_github/",
"abstract": "<p>If you've invested a lot of time and energy on a data science project, you might be\nready to move on to new and exciting things. Don't let your old projects wither away\nand die! There are some powerful and free resources from GitHub that you can leverage\nto help pay it forward to the next person looking to use your work.<\/p>\n<p>In this talk, I'll showcase how you can transform ordinary R scripts into self-sufficient,\nrobust projects by converting your code into a package, adding some GitHub Actions, and\nstoring data into GitHub Releases. This will help your projects more useful - now and long\nafter you've stopped working on the project!<\/p>\n<p>Talk materials are available at <a href=\"https://github.com/tanho63/project_immortality_with_github/\" target=\"_blank\">https://github.com/tanho63/project_immortality_with_github/<\/a>.",
"video": "ouiwupo15s",
"day": "2022-07-27",
"start": "2022-07-27T14:10:00ZEDT",
"end": "2022-07-27T14:30:00ZEDT",
"start_local": "02:10 PM",
"end_local": "02:30 PM"
},
"session": {
"slug": "data-quality",
"title": "Generating high quality data",
"room": "National Harbor 10+11",
"slido": "https://sli.do/DCA",
"day": "2022-07-27",
"start": "2022-07-27T13:30:00ZEDT",
"end": "2022-07-27T14:50:00ZEDT",
"start_local": "01:30 PM",
"end_local": "02:50 PM"
},