Recently we’ve written about creating Data-Driven Maps with CARTO Builder and apart from creating maps dependent on ramps for numeric values, sometimes you need to create maps that show geospatial features grouped visually under different categories. For example, when analyzing different types of crimes, stores by branch, or tweets by term.
Now that you are familiarized with the possibilities of changing some visual parameters BY VALUE, try to color your points, polygons, or lines depending on a string column. We recommend coloring your spatial features only when most of the data fits within the top 10 categories. As you can see above, it’s as simple as:
To create category maps with numeric columns, you will need to select ‘Category’ as the quantification method. You can also change some colors by clicking on each of the terms used for the different categories.
Learn more about CARTO Builder and how to improve the way you make decisions with this webinarWatch it now!
Check out the CartoCSS panel and the TurboCarto repo to learn more about how this works behind the scenes.
Happy data analyzing!
Improved tilesets for visualizing massive datasetsNews
Data is an essential ingredient for any spatial analysis; but often, before any dataset can be mined for insights, data scientists need to spend a considerable amount of ti...News
Map visualization on the web has evolved a lot in recent years. We have seen a rapid shift to Vector Tiles and more visualizations powered by the Graphics Processing Unit (...News
Please fill out the below form and we'll be in touch real soon.