Introduction to Dataframes in R

link to pdf Reading CSV datafiles into R We often store our data in comma seperated value (CSV) files, which can be read into R using the read.csv() function: # Download example .csv file download.file("", "data/portal_data_joined.csv") # Save into variable surveys <- read.csv('data/portal_data_joined.csv') Note: this code requires having a data/ folder in your project Functions for characterizing dataframe We can run the name of the variable to view the dataframe, but often there will be too much information to display in the console

Introduction to R and RStudio

link to pdf Links Etherpad notes Data Carpentry R lesson Download R Download RStudio Why R? R doesn’t involve pointing and clicking Great for reproducibility Works for all sorts of data Creating awesome graphics Interdisplincary with a large community Free, open-source, and cross-platform RStudio RStudio is a free Integrated Development Environment (IDE) for working with R This provides a framework for: Writing code Navigating files Visualizing packages Creating projects Many other goodies (version control, making packages, Shiny apps) RStudio Projects Projects in RStudio create a folder for storing all of our files (data, scripts, images)