This is a workshop for the Cascadia-R conference (in 2017) meant to be a gentle introduction to the tidyverse for data wrangling and visualization. If you are completely new to R and RStudio, please check out this free guide on ModernDive.com on getting started first.
This material is also in the process of being turned into a bookdown book with embedded DataCamp Light chunks for you to enter your code and check to see if it is right! You can check out the developmental version of this book at https://tidyverse-intro.github.io .
Part 1 - Aesthetics and ggplot2 - Part1-ggplot2_intro.Rmd
Part 2 - Factors and ggplot2 - Part2-workingWithFactors.Rmd
Part 3 - Manipulating Data using dplyr Part3-dplyr_intro.Rmd
Part 4 - The Whys and Hows of Tidy Data using tidyr Part4-WhyTidyData.Rmd
Make sure that R and RStudio are installed on your laptop. (You should have version 3.3 or higher for R and version 1.0 or higher of RStudio.) Then install the tidyverse, gapminder, fivethirtyeight and rmarkdown packages from CRAN using the following command:
install.packages(c("tidyverse", "gapminder", "fivethirtyeight", "rmarkdown"))
We'll be using the cascadiarconf slack (http://cascadiarconf.slack.com). Here is the link to the invite if you haven't yet joined: http://bit.ly/cascadiarconf
Go to the #gradual-tidyverse channel. Feel free to ask questions there! Please answer them if you know the answer.
Since there are so many of us, please get to know your neighbor and work together. If you have major issues, we'll try to get to you.
Use your Post-Its to signal whether you are doing ok (Green) or you need help (Red) and one of us will help you.
Download this repo by clicking the green "Clone or Download". Select "Download as Zip" and open the zip file.
Open the gRadual-intRoduction-tidyverse.Rproj file in RStudio and open Part1-ggplot2_intro.Rmd.