Explore More Insights With Map Grouping

Showmymap Grouping feature intelligently combs through the values and attributes in your location data which it uses smartly to filter out information, allowing you to carry out in-depth research.

Groups can be combined to focus or target very specific results, giving you a deeper insight and more information to work with.

An Example of How to Use the Grouping Feature to Get More Insights.

The map above was created from an open data available on Wikipedia. It shows the locations of the first hundred ranked tallest buildings in the world. The data used includes the building’s name, the name of the city, number of floors, its rank value (1-100), its height (in m and ft) and the year the building was constructed. The building name is used as the text box title while everything else is available for grouping.

Let’s say you want to know which of the newest buildings is the tallest, here’s how to go about it.

We need to filter out the oldest buildings first, then apply another filter to capture the tallest buildings among the buildings left.

  • Hover your mouse above the drop-down in the lower left region of the map to show the available grouping columns.
  • Choose “Built” from the menu. The color of the each marker is automatically based on its group.
  • Select the top two year ranges (“2016­2012” and “2011­2007″). As you select each group range, the map will filter out the markers that do not match your selection.

Now try adding a second group (a second filter) to show only the tallest buildings among the newest buildings.

  • On the group selection menu in the lower left region.
  • Click on “Height (ft)” from the menu. Do note that only the height ranges for the current matches will be available.
  • Select the top range (“2717­1399”).
  • You’re now left with a view of a particular subset; the tallest newest buildings dataset.

You will notice that most of the newest tallest buildings are located within China and Hong Kong, with a few scattered across the world.

To clear the group selections, click the “x” icon on each of your groups, or click the group menu once.

How A Field Is Determined to be Group-able.
  1. The values are numeric and usually unique (zero or few repeated values).
  2. They are many repeat values, especially nonnumeric, such as a category or type.

Typically, the first group­able column is automatically displayed by default.  The markers are colored to match the values within the field. You can easily change the default group by field in the “Validate and Set Options” screen, during the creation of your map or when you’re editing the map after.

Disabling The Map Grouping Feature

If you don’t want the data in your map grouped, all you have to do is disable it.

The first thing you need to do is to edit your map.  

Click on the “Validate and Set Options” button, select “Single Color” for the Group By Option. And that’s it.

How Map Grouping Works

When you upload your location data to Showmymap, the Showmymap engine intelligently sieves through your data and screen what data you have available in each column field. For example, location data such as addresses, location names, zip codes are automatically identified and converted (geocoded)  to map coordinates whereas information that is not used for geocoding is added to the description box in a text box.

From the non-location values, Showmymap looks for attributes that can be used as a filter for grouping a set of data.

The number of groups you’re allowed to create is up to five (though we allow for a couple more). For numeric values, Showmymap spread these out in ranges based on the distribution of the values within your data.

For repeating values, such as categories, the popular groups are picked first, and the not-so-popular ones are chunked into a category called “Other.”

When a user makes multiple selections within a group, Showmymap uses an open-matching algorithm. For example, let’s say you select two categories, our engine look for “this” category OR “that” category.

However, when a user tries to select across multiple groups, we make use of a restrictive matching algorithm: ‘this’ category AND “that” category. For example, you can see these approaches used when we needed to display the tallest newest buildings from the open data we got from Wikipedia.

Our specially designed tool makes mapping (basic or advanced) simple and stress-free due to its intelligent and powerful features.

If you haven’t grouped any data yet, why don’t you create a new map with your data right now and see for yourself how easy it is to create a map using our powerful tool.