D3.js – thinkDataVis In this post I will be showing how I made my map for the post, Average age of Brooklyn’s buildings mapped. I did it with: Completely open source toolsD3.js and hexbins.js to render in FirefoxInkscape and Paint.NET for graphical editingOpen Street Map for the basemap Overall Technique The overall technique is based on using D3.js offline in the browser on a one-off basis to create a static visual that you will use elsewhere. I outline the technique here in my post, Use D3.js on your desktop to publish static visualisations Get Data You can get the CSV I used here. Creating the Heat for the Map First of all we’re going to be using D3.js along with hexbins.js. Using D3.js as you normally would, and I’m not going to give a complete tutorial on that here… The full code listing is at the bottom of this post. First of all, add an SVG to the document. Now we create two scales to translate the XCoord and YCoord from the Brooklyn data into coordinates in our chart. hexBinsData = hexbin(data); Done!
Nmap - Free Security Scanner For Network Exploration & Security Audits. Average age of Brooklyn’s buildings mapped – thinkDataVis I saw this recently here. It’s a map showing the age of Brooklyn’s buildings. What do I get from the map? Every data point is plotted, so if I were a Brooklyner, I would probably find my street or look up my favourite building. What I tried. So I made this. (click for the huge version) By showing the average build year for buildings in each hexagon, rather than plotting every single data point, some patterns are more visible. Hexagon Size The size or “radius” of the hexagons is an important parameter of the visualization. Aggregation While my map is not a compelling improvement on the original, I think it is a nice demonstration of the power of aggregation.
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