Step 2. Explore the data

After hitting the Explore button, you left the back office. Welcome to your portal! This is the area where all your datasets are displayed and where you can visualize and analyze your data from different views.

Table view

Table is the default view when starting the explore data.

In the Table view, you can check what your raw data look like to your end-users.

Map view

1. Click on the Map tab.

   Since our dataset contains geographical coordinates, the map view is available. You can now visualize your data on an interactive map. Great, isn’t it? Let’s navigate on our interactive map!

2. Click to draw a shape around the area you are interested in.
   This automatically coordinates with the filters displayed on the left of your map.
3. Click on one of the markers to display its related tooltip.
   The tooltip displays the information contained in the dataset and related to this marker.
4. Click the little cross at the top of the tooltip to close it.
5. Click , then Apply, to delete the shape you drew.

All filters automatically clear and the map automatically zooms out of the area.

Analyze view

1. Click on the Analyze tab.

   Here, you can create powerful charts (bar, columns, pie charts, and so much more!). Let’s show for each year, the gap between the average of winning point and losing points. Thanks to this chart, we will be able to tell when the defeat was crushing, and when it wasn’t.

2. Choose Date as the X axis.
3. Choose Range spline as chart type.
4. For the lower boundary, select the Average of the Losing points.
5. For the upper boundary, select the Average of the Winning point.

There you go! What a cool chart, isn’t it?