Inspiration
We looked for public data sets in the uk and we found that. There you go
What it does
It uses a dataset about fire incidents from 2010-2022 in England to provide an interactive choropleth map that can display frequency, density and response times of fires for individual counties. Also provides information on frequency of types of fires for individual counties using a pie chart
How we built it
We based our project in Palantir Foundry. The first thing we did was download datasets for the fire incidents themselves from the UK government website and also a dataset describing geographical data about counties (co-ordinates, area, etc)
We created Foundry transformations to convert the GeoJSON file to a Foundry dataset, and then joined the fire incidents dataset onto this dataset. We then ran this dataset into the Foundry choropleth map widget, and combined the GeoJSON data for the smaller regions to form the counties that correspond to the ones in our dataset using a dedicated software.
Challenges we ran into
The first challenged we faced was converting the GeoJSON file into a foundry dataset into Foundry as Foundry did not seem to have easily understandable support for this conversion.
We also struggled with the dataset as their was a mismatch between our Geographical dataset and our fire incident data set as some counties were old and no longer existed but remained in one of the datasets
Accomplishments that we're proud of
We are proud that we could create a functioning and dynamic system from a completely unfamiliar technology
We are also proud that we coloured the map even with the challenges from the datasets.
What we learned
We learnt how to use foundry, how geographical data is stored, different operations on datasets and how to divide tasks between members of a team.
What's next for XBZ
Great things
Built With
- foundry
- python
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