R].R we having fun yet‽ A learning series on [
This Spring the Data & Visualization Services Department will host a series of campus/community-oriented, informal sessions on the R programming language. Our goals is to promote a friendly environment for exploring the extensible capabilities of the R software environment specifically supported through R and RStudio. Beginner's are welcome, experts will be encouraged to share topical expertise. How has R enabled your work? What else can R help you accomplish? Join us most Thursdays at noon in the Edge (Workshop Room -- map). Bring your lunch (or not); light refreshments will be provided.
When: Thursday's at noon
Who: R enthusiasts, beginngers through advanced
Sponsored by the Data & Visualization Services Department
Workshop Room, The /Edge, Bostock LibraryWhere:
Schedule: Spring, 2017
Space is limited. Please register
|1/26||Leaflet||Jena||RSVP||Workshop Room||Leaflet video||Leaflet scripts|
|2/2||Rvest & httR (Web Scraping)||John||RSVP||Workshop Room||rvest video||rvest scripts|
|2/9||ggplot2||Angela||RSVP||Workshop Room||ggplot2 Video||ggplot2 Slides|
|2/16||Shiny||Joel||RSVP||Workshop Room||Shiny Slides|
|2/23||Flex dashboards||John||RSVP||Workshop Room||Flexdashboard Video||Files ; Example|
|3/2||ggvis||John||RSVP||Perkins 217||ggvis video||ggvis slides|
|3/9||Rmarkdown||Matt Ross||RSVP||Perkins 217||Rmarkdown video|
|3/23||twitteR & Rtweet||John||RSVP||Perkins 217||rtweet video||rtweet slides|
Presenters are asked to speak for approximately 30 minutes; think lightning talks. Leave time for questions and discussion. Scope should be about R, R packages, RStudio and/or the Tidyverse with respect to Data Science, Data Analytics, Statistical Sciences and/or Big Data. The following framework is encouraged:
- Why is this package/tool of interest?
- How does it work? / Is it worth it to learn it? / What does a workflow look like?
- Expose attendees to what can be done with [R]
- How is your topic used in your discipline?