ourcodingclub / CC-3-DataManip

Using tidyr, dplyr and piping for easy and efficient data manipulation

Home Page:https://ourcodingclub.github.io/2017/01/16/piping.html

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Introduction to data manipulation in R

Learning to wrangle data with base R and the Tidyverse

1- Using base R and logical operators to subset dataframes or replace values

2- Making data tidy using gather()from tidyr

3- Manipulating data with the intuitive dplyr tools

This repository contains the files necessary to complete Coding Club's Intro to Data Manipulation tutorial.

For more about Coding Club, please see https://ourcodingclub.github.io/

Check out https://ourcodingclub.github.io/workshop/ to learn how you can get involved!

We would love to hear your feedback on the tutorial, whether you did it at a Coding Club workshop or online: https://www.surveymonkey.co.uk/r/9QHFW33

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

License: CC BY-SA 4.0

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Using tidyr, dplyr and piping for easy and efficient data manipulation

https://ourcodingclub.github.io/2017/01/16/piping.html