Track 02

Theme: the objective of this track is to show how to employ maps to fastly detect patterns and give insights from a database.

Eight spatial data visualization can be used to see geographical patterns in data:

• Basic Choropleth: This is a standard approach for plotting data on a map. The approach should always follow rates and not totals and use sensible base geography. 

• Proportional Symbol: Opposite to basic choropleth, this visualization shows totals rather than rates. It is difficult to see small data variations in this map.

• Flow Map: This data visualization can illustrate unambiguous movement across a map.

• Contour Map: This map shows areas of equal value. You can use deviation color schemes to show positive and negative values.

• Equalized Cartogram: This visualization transforms each unit on a map to a regular and equally-sized shape. You can easily visualize political data, such as by representing voting regions with an equal share.

• Scaled Cartogram: In the case of large data values, this map can help you scale (Stretch and shrink) according to a particular value.

• Dot Density: This map is Used to plot the location of individual events. You would need to annotate patterns that you want the readers to see.

• Heat Map: Grid-based data values mapped with an intensity color scale. As choropleth map – but not snapped to an admin/political unit.

This learning path is designed to develop three skills: 

1.  Learn how to draw an interactive world map with some data.

2.  Learn how to couple the values of some features of the countries to the intensity of colors employed for each country on the map.

3.  Employ the concept of mirror statistics to fill each country on the map with importation and exploration data.

The next links will help in this learning journey. Have a good learning journey.