The Financial Times has i of the best information visualization teams of whatsoever newspaper. Back inwards July that squad created too released a swell interactive map visualizing the average broadband speed inwards every postcode expanse inwards Great Britain. If yous function into a postcode into the FT's Broadband Speed Map yous tin flaming sentiment the average broadband speed inwards your expanse too run across how it compares to the national averages.
The squad has at nowadays published an article on Source explaining how the map was made. In How We Mapped 1.3m Data Points Using Mapbox yous tin flaming acquire how the squad used Mapbox GL, QGIS, React too Uber's React wrapper for Mapbox GL to brand their impressive information visualization. The article includes a listing of around of the major lessons the squad learnt inwards making the map.
The article besides explains how what started equally a pocket-size downtime projection speedily gained major projection condition at the paper too fifty-fifty began to straight off on-the-ground reporting decisions. I justice there's around other lesson to endure learned here, that skillful information visualizations tin flaming unwrap unexpected stories too plough pocket-size stories into major news.
If yous desire to acquire to a greater extent than lessons learnt past times information journalists well-nigh making maps thus yous should besides depository fiscal establishment gibe out Source's Better Mapping Guide. The direct is an always growing listing of articles published on Source which furnish projection walkthroughs too learning pieces focused on making maps.
