Repository logo
 

Data cleaning using R

Abstract

The process of generating data can be messy, especially when data are hand collected by multiple people. This month's Coding and Cookies will discuss how to wrangle messy tabular data using R. After this session, you will be able to import tabular data into R, convert data to an appropriate type, recode categorical variables, convert dates, manipulate strings, detect and fix errors in your data. A basic working knowledge of R and R studio would be helpful for you to get the most out of this session.

Description

Rights Access

Subject

data management
Data editing
data education
Programming languages (Electronic computers)

Citation

Associated Publications