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Data Science Sampler: Steal this data: Using R and GitHub for Open, Collaborative Research

GitHub is a website where you can share data and code publicly or within a small group of collaborators.  Sharing data projects on GitHub can be a great back-up solution and can also help you build a portfolio of data projects.  "Stealing" and improving projects that have been shared on GitHub is also a great opportunity to contribute to a larger effort or to learn new skills from more experienced coders and analysts.  If you already use RStudio to work on data projects, you can easily use the built-in "projects" to connect straight to an existing GitHub repository. 

In this workshop, we will use RStudio to connect to a GitHub repository, and then we will walk through basic data analysis and visualization tasks with packages from Hadley Wickham's tidyverse (e.g., dplyr, tidyr, ggplot2).  You should only need to bring a laptop with a web browser for this workshop, but we recommend that you try out the RStudio Container available at the OIT Docker Containers site before you arrive.  Email askdata@duke.edu if you have any trouble accessing RStudio from the link above.

Date:
Wednesday, January 18, 2017
Time:
9:00am - 10:00am
Location:
Bostock 127 (The Edge Workshop Room), Bostock Library - The Edge
Campus:
West Campus
Categories:
Data and Visualization   Events @ the Edge  
Registration has closed.

Event Organizer

Profile photo of Angela Zoss
Angela Zoss
Joel Herndon
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Center for Data and Visualization Sciences