Boston Grid

With the analysis Boston Grid EasyMap offers the possibility to color the areas of the areas in the map depending on two data columns. This makes it possible to display the correlation of bivariate distributions. This form of presentation is occasionally referred to as a portfolio or regional portfolio. It is particularly used to compare potential and exhaustion.

Creating a New Analysis

Click on Boston Grid in the menu option Analyze to open the dialogue with the setting options.

The analysis starts with the selection of the data input:

Select data input and connect the data to the map

  1. First select the Table that contains the data to be displayed in the analysis.
  2. In addition, you specify on which sheet and in which map the analysis is to be displayed.
  3. Then check whether the column with the area number (e.g. postal code) from the table corresponds to the corresponding level (e.g. postal code areas - areas) of the base map. The area number is used to assign the individual data records to the corresponding area.

Set the Properties of the Boston Grid

Properties refers to all settings for calculating and displaying the analysis. You can select certain columns of the previously defined table to control certain aspects of the display (for example, the color). You also reach this settings dialog if you want to edit existing analyses.

In contrast to other anaylses, the Boston Grid uses two classifications (X-axis, Y-axis). By default, two value classes are preset for the selected data columns for each axis - one class contains the below-average data, the other value class contains the above-average data (classification: Average). The combination of the value classes of each data column results in a value class grid, which is displayed by EasyMap in an X/Y diagram - under Boston Grid Tableau. You then assign a color to each combination of value classes.

Determine the details of the analysis

In Details you define other (non-data-dependent) properties of the analysis.

Create tooltips for analysis

When crossing the colored areas on the map, you can display context-sensitive information about them.

Note: You can find out how to implement tooltips here.