class: center, middle, inverse, title-slide # Data Visualization in
R
## Lesson 2: ggplot ❤️ Tidy Data ### Yujie Su, Matthew Schuelke ### September 18, 2019 --- # What We're All About We're in our **eigth semester** of offering seminars on using `R` for data science. </br> We were founded in **2015** by Christy Garcia, Chris Prener, and Kelly Lovejoy. </br> We are a **collaborative, interdisciplinary** group at Saint Louis University focused on **building community** around open source software and open science. --- # What We're All About We ❤️ `R`, RStudio, and the `tidyverse`! -- </br> Our seminars cover *most* of data science workflow from Wickham and Grollman (2016): ![](assets/workflow.png)<!-- --> --- # Upcoming Events ### DSS 08: Data Visualization in `R` * Session 03 - October 2nd * Session 04 - October 16th -- ### Other DSS Events * Brownbag, Open Science Framework - October 10th --- # GitHub We host all of our materials on GitHub. If you want to get back to the lesson materials later, head to [https://github.com/slu-dss](https://github.com/slu-dss) and look for the `visualization-02` repository (a special type of folder). ![](assets/github.png)<!-- --> --- # Getting Started * You need to have `R` installed and **RStudio** open. * You need to have installed all of the necessary packages: ```r install.packages( c("tidyverse", "here", "knitr", "rmarkdown", "usethis")) ``` * You need to have downloaded and opened our lesson materials: ```r usethis::use_course( "https://github.com/slu-dss/visualization-02/archive/master.zip") ``` * RStudio should open a new window that says `visualization-02` in the upper right hand corner.