Category: mapping

Today we add a great feature for making it easier to visualize your data with thematic value rendering. What does that mean? Well basically use the “Group” drop down in Advanced Options and pick any date or numeric column in your dataset, and see what happens!

We’ll automatically calculate ranges for each of the numerical groups in your data based on their value. This makes it easy to create thematic maps of your data. Here is an example map:

View U.S. Cities – Number of Rainy Days Per Year in a full screen map

Give it a try and let us know what you think!

We’ve updated our search box to be multifunctioned now. It can still find the nearest location if you type in an address or zip code, but additionally it can now help you filter your map data.

Just start typing into the search box to see suggestions on potential searches and filters. To execute a search, select an item on the the list by either using your mouse, or the arrow keys on your keyboard (if you use your keyboard you will need to hit “Enter” after selecting an item.)

The map will update to include only those results that match your search, and it will zoom closer to the location of them. To zoom in closer you can just keep hitting “Enter” until you are all the way in.

Top 100 Websites Example

We think this is an incredibly powerful feature for folks looking for new ways to filter and search their data, but let us know what you think by posting below.

We’ve added a new feature that’s automatically turned on when mapping large sets of locations, pie chart clusters. These graphics make it easy to spot trends and hot spots in a quick glance. The pie charts are created and sized automatically based on the number of markers in a given area, the more markers, the larger the pie chart.

View Map of Top 100 Websites Worldwide in a full screen map

Additionally clicking on the legend will cause the map to filter results down to just the selected group, updating the pie charts dynamically. To enable pie charts on your map, just select a group column and turn on the clustering feature (both under advanced options.) Please let us know your feedback on this new feature by posting comments below.