CALAT Geographic Analysis

Create heatmaps of IMD data and population density with identifiers of adult learning facilities.

Download

If you don't have git installed, you can just download this code as a zip file:

• In the top right corner of this repository there's a button that reads <> Code - click on it
• Choose the option that reads Download ZIP
• Extract its contents

Setup

1. Install python in your machine. Use the latest version available for your OS: https://www.python.org/downloads/;
2. Open the command prompt (cmd.exe);
3. Navigate to the folder where you cloned this repository. (e.g. cd C:\Users\username\Documents\GitHub\calat-geographic-analysis);
4. Create a virtual environment by running python -m venv venv - it will make your life easier in the future.
5. Activate the virtual environment by running venv\Scripts\activate;
6. Run pip install -r requirements.txt to install the required python packages;
7. Run jupyter notebook to start the notebook server;
8. Click on calat-geographic-analysis.ipynb to open the notebook.
9. Run the notebook by clicking on the Run button on the top menu - you can run cell by cell or all at once.
10. The image outputs are saved in the output folder.

If in the future you come across this repository again and want to run the notebook, you can skip steps 1, 4 and 6.

Edit the postcodes

The postcodes are stored in the "adult_learning_facilities_postcodes.xlsx" file. In order to edit/add/remove postcodes, you just need to edit this excel file, save it and then rerun all the cells in the notebook again. This will create new images in the output folder and replace the old ones.