Introduction to Visual Analytics
Materials for class on Monday, January 14, 2019
Contents
Tweet of the day:
Any time I have been struggling to learn a new tool/technology/software … I go back to this short clip I cut out of ???'s 2014 ??? tutorial on Dplyr to motivate myself to keep pushing through … learning new tools is hard for everyone at the beginning! pic.twitter.com/RevpkSJqWc
— Aliakbar Akbaritabar (Ali) (@Akbaritabar) July 25, 2018
Hadley Wickham is the R guru amongst gurus. He developed dplyr, ggplot2, (and many other R packages) and now is Chief Scientist for RStudio, leading the direction of RStudio’s research. If you want some idea of his contribution, see his GitHub repos.
Slides & Lab
- Introduction to Visual Analytics: full screen / pdf version
Click here and press F for full screen.
- Lab: Intro to R/RStudio and RMarkdown
Create a RStudio.Cloud account rstudio.cloud.
Go to our class’ RStudio.Cloud workspace.
Open healy-dataviz.
Our first exercise will be running Chapter 2: Get started in Healy.
The great thing with RStudio.Cloud, is that I already installed all of the packages. However, if you want to run this on your own local machine, you’ll need to install all of the packages locally. To get started, you’ll need to follow Kieran’s instructions to get the socviz package.