Updating the README to hopefully be clearer.

Author: mhairi

README.md

@@ -2,18 +2,21 @@
 
 1. Get the 'CodeClanData' repo from CodeClan's GitHub.
 
-2. Go to the file `prep_data.R` inside `data-raw`. 
+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, or you might want to do a lot of cleaning or API calls. You can see some examples in this folder. You can store raw data files in the data folder inside data-raw. 
+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. You can store raw data files in the data folder inside data-raw. 
 
 *Note: we can't use files greater than 100MB on GitHub*
+*Note: try to put the code in the correct place alphabetically so it's easy to find later.*
 
-4. Once you've created your dataset, run the function `use_data` with your chosen data (see examples at the end of `prep_data.R`). 
+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. Now go to `documentation.R` in the R folder. Here you write a short description of your dataset, which will be shown in the documentation. See examples from the other datasets. 
+5. Run the whole of `prep_data.R`.
 
-6. Use `devtools::document()` in the console.
+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. 
 
-7. Push changes to GitHub. 
+7. Use `devtools::document()` in the console.
 
-8. Reinstall the package on your machine using `devtools::install_github('codeclan/CodeClanData')`
+8. Push changes to GitHub. 
+
+9. Reinstall the package on your machine using `devtools::install_github('codeclan/CodeClanData')`