Imply provides a wide array of expressive visualizations that enable fast, interactive exploration of your data. The visualizations are not just static charts. You can interact directly with them by clicking on various graphical elements to select data segments for drill-down and deeper analysis.

When you change the shown dimensions, the best visualization for the selected dimensions will automatically be selected.

You can choose the visualization you prefer by clicking on the button highlighted in the image below, which is located to the right of the filter and split bars.

Cube view vis selector menu

The visualizations are described below.


This is the overview visualization that’s shown when there is no dimension selected to be shown. It presents a numeric summary of the currently selected measures, applying any selected filter criteria.

Cube view overall

Multiple measures can be selected and a comparison can be added also.

Cube view overall


The table visualization is the default view for a categorical (string) dimension. It presents a table view of the data with shading that aids visualization of measure magnitude.

Cube view table

The table visualization can show multiple dimensions, as well as multiple measures, as columns.

Cube view table multi split multi measure


The Grid table is a visualization that allows you to compare values across two dimensions.

Cube view grid

Line chart

The line chart is the natural visualization to show temporal dimensions. This is the perfect visualization to demonstrate a trend over time.

Cube view line chart

The line chart also has the ability to compare the segments of the first shown dimension to each other over time. Note the different colored lines in the chart below.

Cube view line chart

Area stack

The stacked area chart is similar to the line chart, and can be used in similar situations. Unlike the line chart, the area chart lets you see what all the values add up to together. This lets you see the overall trend, while also showing the individual contributions of different dimensions.

Cube view area stack

Bar chart

The bar chart is selected for numeric visualizations. It naturally acts as a histogram, showing the frequency distribution of occurrences over numeric buckets.

Cube view bar chart

Bubble chart

The bubble chart is available when viewing one or two dimensions. Bubble size and chart axes are defined by the data cube's measures.

Cube view bubble chart

When a comparison period is selected, delta information can be viewed by clicking on a bubble.

Cube view bubble chart comparison


The sunburst (also known as a donut or pie chart when using only one split) is a visualization that represents the ratios between the values of a dimension.

Cube view donut

When there are multiple dimensions being rendered, each subdivides its slice to show proportional representation.

Cube view sunburst


The heatmap is a visualization that shows two dimensions as a 'matrix'. The heatmap visualization is similar to the grid visualization and it works particularly well when one or both of the dimensions are continuous.

Cube view heatmap


The treemap allows you to see how the values of a dimension combine to make up the whole. It is particularly suitable for hierarchical dimensions.

Cube view treemap

Geo marks

The geo marks visualization is the natural choice for dimensions that represent geographically encoded data. It can work with country encoded data.

Cube view geo marks countries

Or data at the state level.

Cube view geo marks state

Geo shade

The geo shade visualization (also known as a Choropleth map) is another choice for dimensions that represent geographically encoded data. It can work with country encoded data.

Cube view geo shade countries

Or data at the state level.

Cube view geo shade state


The Sankey diagram allows you to see the flow of data between two different dimensions.

Cube view geo shade state





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