This extension allows you to create beautiful departmental maps of Colombia—choropleth and bubble maps—from different types of department-level data. Colombian departmental maps are one of the most effective ways to identify regional patterns, compare territories, and communicate subnational insights clearly and directly.

With this tool you can:

  • •Load data in multiple ways: copy and paste into a blank table, upload files in formats such as CSV, Excel, or others, or use datasets already stored in your Datasketch library or publicly shared by other users.
  • •Choose between two visualization types: choropleth maps that use color gradients to represent data intensity across departments, or bubble maps that use proportional circles to show values while maintaining geographic context.
  • •Compare the same data with different map styles: explore how interpretation changes when switching from a choropleth to a bubble map, depending on whether you want to emphasize data distribution or highlight specific departmental values.
  • •Edit the data table and instantly see changes reflected in the map: allowing you to adjust, clean, or reorganize departmental information while observing its immediate impact on the visualization.
  • •Customize colors, labels, and styles: adapt the map to your analytical context, brand colors, or presentation needs with professional color schemes and legends.
  • •Handle department name variations automatically: the extension recognizes different departmental name formats (official names, common abbreviations, alternative spellings) and matches them to the correct geographic boundaries.
  • •Export and save maps in different formats: share them on social media, embed them in websites, or store them in your Datasketch library to keep a record, reuse them, or make them available to other users.

Perfect for displaying: population demographics, economic indicators, education metrics, health statistics, violence data, environmental information, electoral results, infrastructure indices, and any departmental dataset that benefits from spatial context within Colombia.