Group figures for faster review

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I recently had to review figures from nearly 50 countries for a project I’m working on. Each country had three figures that needed comparing. Anyone who knows me will know that I had had enough after loading figures for just the first few countries. Apart from being tedious it was also error–prone; double–click the wrong file by mistake and it’s not immediately obvious you’ve got the wrong figure. Instead of doing it manually and risking making mistakes I wrote the following small python script using the pillow library.


House prices 3d visualisation

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On Saturday (24th September) I participated in the UK Data Service’s Open Data Dive Hackathon. The goal was to use open data to create an artefact or visualisation with the grand prize being the opportunity to have your artefact printed on one of MMU’s industrial 3D printers. I wanted to explore using a QGIS plugin called qgis2threejs to create 3D visualisations using the three.js javascript framework that allows you to render your visualisation in a WebGL-capable browser.