How-to's


Creating Choropleth Maps

Choropleth maps can be used to create geographically-based heat maps. They are useful for visualizing location-based data, trends, and distributions across a geographic area.

Note: Choropleth maps require at least one measure and one Georole, which contains geographic location information. You can add a field to the Color bucket to color the map.

The Clear buckets content display option is available for a choropleth map. It removes the fields from all buckets.

You can add fields to the following buckets for a choropleth map:

Creating Proportional Symbol Maps

Proportional symbol maps, or bubble maps, use symbols of different sizes to represent data associated with different areas or locations within the map.

Note: Proportional symbol maps require at least one measure and one Georole, which contains geographic location information. You can add a field to the Color bucket to color the map.

The Clear buckets content display option is available for a proportional symbol map. It removes the fields from all buckets.

Creating Matrix Marker Charts

Matrix marker charts can be used to analyze one or two measures against a crosstab of two categorical dimensions. The result is a color scaled matrix chart that shows categorized trends.

Note: Matrix marker charts require at least two measures and two dimensions. It also requires a field in the Color and Size buckets, which allow you to see the concentration of data for that intersection of the chart.

The following display options are available for a matrix marker chart:

Creating Data Grids

Data grids can be used to present data in tabular form. For example, you can create a grid (table) that summarizes your data.

Note: Data grids require at least one measure and one dimension. Additional measures create unique columns. You can add multiple dimensions in the Row bucket to create customized rows based on the structure of your selection.

The following display options are available for a data grid:

Creating Treemap Charts

Treemap charts can be used to display large amounts of hierarchically structured data. Using a set of nested rectangles to illustrate data relationships, sections of a treemap represent branches of a tree.

Note: Treemap charts require at least one measure and one dimension, to be placed in the Size and Color buckets. Groups are determined by those fields specified in the Grouping bucket.

The Clear buckets content display option is available for a treemap. It removes the fields from all buckets.

Creating Circle Plot Charts

Use circle plot charts to display differing values in rows, enabling you to draw inferences as to how the values overlap.

Note: Circle plot charts require at least one measure and one dimension, as well as one for the Detail and Color buckets. Optionally, add a dimension to the Size bucket to view the concentration of data.

The following display options are available for a circle plot chart:

Creating Vertical Stacked Area Charts

Use vertical stacked area charts when you want to distinguish your data more dramatically by highlighting volume with color. In a vertical stacked area chart, each area is stacked on top of the sections below it.

Note: Vertical stacked area charts require at least one measure and one dimension. Adding multiple measures will create additional shaded areas on the chart.

The following display options are available for an area chart:

Creating Absolute Line Charts

Use absolute line charts when you want to show trend data over time. For example, monthly changes in employment figures, or yearly sales of an item in your inventory.

Note: Absolute line charts require at least one measure and one dimension. Adding multiple measures or adding fields to the Color bucket will create additional lines on the chart.

The following display options are available for a line chart:

Creating Ring Pie Charts

Use a ring pie chart when you want to review the value of each segment, which represents the measure value for the selected dimension, as it relates to the total for the selected measure. The total value represented by all segments displays in the middle of the ring pie chart.

Note: Ring pie charts require at least one measure (placed in the Measure bucket) and one dimension (placed in the Color bucket). Add additional measures as required to create a separate ring pie for each measure.