LFB is the largest fire and emergency response team in the United Kingdom. Serving a larger part of London.
Any incident that is reported to this department is recorded and data updated on a public domain once in a fortnight.
The LFB dataset is available for public use.
At the time of writing this file, the data contained in a CSV file has a shape of 1048575 rows and 39 columns which is likely to increase in the future as incidences occur on daily basis.
Below is the folder structure of the London fire brigade project.
This file is responsible for fetching the LFB data from the Uk gov data website, creating a data folder and extracting the zip archive.
We use patool library to extract the zip archive.
We have used a the taqaddum (tqdm for short) library to show download progress.
This is the main file where we do everything from analysis to dimentionality reduction to clustering.
In the LFB-analysis.ipynb file, We start by importing the necessary libraries.
We go further to import the download_data.py file. This will help download and extract data.
As shown above the file is imported as a module and downloads the data.