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When & Where
Date: 
Tue, October 18, 2016 - 2:00 PM to 5:00 PM
Location: 
Barrows 356: D-Lab Convening Room
Description
Type: 

The R for Data Science workshop series is a four-part course, designed to take novices in the R language for statistical computing and produce programmers who are competent in finding, displaying, analyzing, and publishing data in R.

Part 2: Clean and Tidy Data

Students will be introduced to 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.

Knowledge requirements: R for Data Science Part 1 or equivalent.

Registration note: To participate in multiple parts of this intensive, please be sure to register for each day separately.

Keyword: 
Details
Training Host: 
D-lab Facilitator: 
Stephanie Smith
Format Detail: 
Interactive
Participant Technology Requirement: 
Laptop required; the RStudio IDE is recommended but not required
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