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r-data-cleaning-tricks

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

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# 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)

<a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.

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