Map Charts


Map charts enable to position your data in a context, obviously geographical. They are great to visualize your geographical data by location either by using a colored area map or bubble map. Not only are they cool to look at, but they can be very impactful when your data is highly linked to specific locations. When it comes to percentages of votes, to sales per regions, or to market shares, maps are very effective to geographically track and highlight data, and tell a story by itself.


However, displaying locations is not always an essential element of the story you want to tell -make sure the map you want to create is necessary. Combine it with other relevant data, and use your map charts to filter other types of charts or tables.


Likewise, maps are not just there to have dots “randomly” placed. Locating dots without relevant data behind will just overwhelm your audience, and bring no added value to your dashboard -especially when maps take quite some space on it.



To create a map chart in datapine, simply put the geographical field into the Dimension (X Axis) and add the metric to What to measure (Y Axis).

map chart example created with datapine

datapine’s map charts thereby support the following geographical data formats:


a) Longitude and Latitude


b) Continent


c) Country


d) Regio


e) City


f) ISO 3166-1 codes


By default, a world map by country is used when creating a new map chart.


However, datapine offers the following aggregation options for your map:


a) World by continents or countries


b) Continents by country


c) Regions by country


d) Countries by states