Script to create an animated data visualisation for categorical timeseries data - GIF choropleth map with annotations.

Overview

choropleth_ldn

Simple script to create a chloropleth map of London with categorical timeseries data.

The script in main.py creates a gif of the most frequent animal types rescued by the London Fire Brigade over the years, by borough. This is what that looks like:

rescues per borough GIF

It also performs some cleaning of the dataset, i.e.:

  • removing boroughs that are not part of Greater London.
  • replacing animal entries that are "Unknown - ..." e.g. "Unknown - Heavy Livestock Animal" to just "Unknown".

As a quick note, there are better ways to create gifs that don't involve saving down individual frames. However, I wanted to be able to look at the frames on their own as well.

How to run

Install the required libraries by running pip install -r requirements.txt or conda install --file requirements.txt.

Create a folder called fig. This is where the script saves individual frames and the final gif.

Then run main.py.

Data sources

London Fire Brigade Animal Rescue Dataset: https://data.london.gov.uk/dataset/animal-rescue-incidents-attended-by-lfb (originally downloaded in 09/2021)

London Borough Map: https://data.london.gov.uk/dataset/statistical-gis-boundary-files-london

Acknowledgements

Special thanks to Ben Dexter Cooley for his excellent articles on creating chloropleth maps and GIFs in python.

(article on maps, article on gifs)

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