From the course: D3.js Essential Training for Data Scientists

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Geography

Geography - D3.js Tutorial

From the course: D3.js Essential Training for Data Scientists

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Geography

- [Instructor] Geographic data probably needs the least introduction. If you have regional numeric data, you're probably looking for a heat map. The proper name for this type of colored regional map is choropleth. If you have data about locations rather than regions, you might want a spot map. You can easily make the spots different sizes and colors to indicate a value, making a bubble map, or you can use icons and symbols to make your map more relevant to a particular topic. And you can use arcs or lines to indicate some kind of flow. If you have geographic data, the best advice I can give you is to consider ignoring the geographic element entirely. It does sound a bit radical, but sometimes we don't need to know the actual location of something, even though we have the data. Take a supply chain, for example. Do we need to see where in the world our parcel is? Or do we just need to know what stage in the process the parcel has reached? In a similar vein, if you want to compare data…

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