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Data manipulation 2

Efficient data manipulation with dplyr and pipes

If you've done our first data manipulation tutorial and want to dig deeper into the dplyr package, this is for you!

1. Chain together multiple lines of codes with pipes %>%

2. Use dplyr to its full potential

3. Automate advanced tasks like plotting without writing a loop

We'll play around with a subset of a large dataset of trees within the Edinburgh council area. We have restricted it to the Special Landscape Area around Craigmillar Castle. Both datasets are available under Governement Open License v3.0. Copyright City of Edinburgh Council, contains Ordnance Survey data © Crown copyright and database right 2019. The two datasets were accessed in April 2019.

For more about Coding Club, please see https://ourcodingclub.github.io/ and learn how you can get involved!

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Efficient data manipulation with dplyr and pipes

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