Map
Use a map to see patterns in geographical data assets.
Data assets in maps must contain geographical data, such as countries, states, provinces, or continents. Maps show patterns in geographical data such as levels of revenue made by specific countries or customer loyalty levels of countries. The colors heat palette on the map shows different levels with the lightest color as the least value and the darkest color as the highest.
- North America
- South America
- Africa
- Asia
- Europe
- Antarctica
- Oceania
Cognos Analytics analyzes a sample of 2000 values in the location column, looking for recognizable place names to map a column. If 80% or more are recognized as map values, Cognos Analytics produces a map. If you have four countries in your location column: Brazil, China, India, and Russia. The typographical error for India means that only 75% (Brazil, China, and Russia) of the values are recognizable place names and you will not see a map. But if you have five countries and one has a typographical error in it, a map is produced.
You can use a map to view the levels of revenue by retailer country with the darker color representing the higher revenue.
The following image shows an example of a map visualization.
- From a dashboard, click the Visualizations icon and in the System tab of the Visualizations pane, select Map.
- Click the Select a source button in the Data pane, and in the Select a source window go to Samples/By feature/Core/Data. Select the Great outdoors data module and click Add.
- Drag the following data sets onto the indicated fields:
- Retailer country onto the Regions field.
- Revenu onto the Regions heat field.
- Click Properties and in the Visualization tab, click Change heat pallete and select Cyan.
Sample dashboards
An example of a map visualization is available in the Call center YTD performance dashboard, on the Customers and Plans tab.
- Location
- Team content/Samples/By business function/Customer experience/Dashboards/
If any of the sample objects are missing, contact your administrator.