1. Get the 'CodeClanData' repo from CodeClan's GitHub.

2. Go to the file data-raw/prep_data.R.

3. Define your dataset in this file. This can be as simple as reading a CSV file (put raw files in data-raw/data), or you might want to do a lot of cleaning or API calls. You can see some examples in this folder.

Note: we can't use files greater than 100MB on GitHubNote: try to put the code in the correct place alphabetically so it's easy to find later.

4. Once you've created your dataset, add a use_data function for your chosen data (see examples at the end of prep_data.R).

5. Source the whole of prep_data.R.

6. Now go to R/documentation.R. Here you write a short description of your dataset, which will be shown in the documentation. See examples from the other datasets. Again, put this in the correct place alphabetically.

7. Use devtools::document() in the console.

8. Push changes to GitHub.

9. Reinstall the package on your machine using devtools::install_github('codeclan/CodeClanData')