https://github.com/underthecurve/r-data-cleaning-tricks

Data Cleaning Tricks in R for Boston University's "Storytelling with Data" workshop
https://github.com/underthecurve/r-data-cleaning-tricks

r rstudio

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Data Cleaning Tricks in R for Boston University's "Storytelling with Data" workshop

• Host: GitHub
• URL: https://github.com/underthecurve/r-data-cleaning-tricks
• Owner: underthecurve
• Created: 2017-06-05T19:23:30.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2017-06-12T03:45:59.000Z (over 7 years ago)
• Last Synced: 2024-05-21T02:12:27.499Z (6 months ago)
• Topics: r, rstudio
• Language: R
• Size: 1.39 MB
• Stars: 70
• Watchers: 8
• Forks: 21
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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• jimsghstars - underthecurve/r-data-cleaning-tricks - Data Cleaning Tricks in R for Boston University's "Storytelling with Data" workshop (R)

README

        
# Tricks for cleaning your data in R

Data + Code for **"Tricks for cleaning your data in R"** at the [Storytelling with Data](https://www.bu.edu/com/data-storytelling/) workshop at Boston University on Tuesday, June 6th 2017.

Equivalent materials for **"Advancing with data visualization in R using ggplot2"** available [here](https://github.com/underthecurve/r-dataviz-ggplot2).

## Links to install R and RStudio

* [R](https://www.r-project.org/): website for the R software

* [RStudio](https://www.rstudio.com/): website for RStudio, a powerful graphical user interface for R

## Files included

### Annotated code and step-by step instructions for the workshop

* [R-datacleaning-tricks.md](https://github.com/underthecurve/r-data-cleaning-tricks/blob/master/R-datacleaning-tricks.md): Markdown file (for viewing on the web)

* [R-datacleaning-tricks.pdf](https://github.com/underthecurve/r-data-cleaning-tricks/blob/master/R-datacleaning-tricks.pdf): PDF file (for printing out)

### R code

* [R-datacleaning-tricks.R](https://github.com/underthecurve/r-data-cleaning-tricks/blob/master/R-datacleaning-tricks.R): the R code, which can be run in RStudio

### Underlying data needed to run the R code

* [employee-earnings-report-2016.csv](https://github.com/underthecurve/r-data-cleaning-tricks/blob/master/employee-earnings-report-2016.csv): data on earnings for Boston's municipal employees, from the city's [open data portal](https://data.boston.gov/dataset/employee-earnings-report)

* [unemployment.xlsx](https://github.com/underthecurve/r-data-cleaning-tricks/blob/master/unemployment.xlsx): data on global unemployment rates from 2012 to 2016, from the [International Monetary Fund](https://www.imf.org/external/pubs/ft/weo/2017/01/weodata/index.aspx)

* [attendees.csv](https://github.com/underthecurve/r-data-cleaning-tricks/blob/master/attendees.csv): data on some attendees of this workshop, with names and identifying information removed

## How to follow this workshop

* You can clone or download this repository by clicking on the green button above, "Clone or download"

* Open the `.R` file in RStudio 

* Follow along by reading the `.md` file online or printing the `.pdf` file out by clicking the Github links above

## Questions / Feedback?

ychristinezhang at gmail dot com

or on Twitter

[@christinezhang](https://twitter.com/christinezhang)


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