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When & Where
Date: 
Thu, September 24, 2015 - 12:00 PM to 2:00 PM
Location: 
Convening Room
Description
Type: 

Day 2 (clean and tidy data)

Students will be introduced to DRY principles and best practices for sanitizing and tidying data. Students will learn what missingness is, and how best to accommodate missing data in their research designs. Students will be able to read in files from disk or a database, clean the data found within them, select specific data from them, and merge them with other datasets.  

This workshop is part of our "R for Data Science" training series. Check out the remaining workshops:

R for Data Science: Part 3

R for Data Science: Part 4

Keyword: 
Details
Training Host: 
D-lab Facilitator: 
Patty Frontiera
Participant Technology Requirement: 
Laptop required with R installed; students are expected to know the basics of R before attending