Visualizations

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 within them by clicking on various graphic elements to select data segments for drill-down and deeper analysis.

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

You can you 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.

Overall

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

Table

The table visualization is the default to show 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

Grid

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

Cube view gird

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 the 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

Sunburst

The sunburst (also known as the donut/pie chart with 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

Heatmap

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 contentious.

Cube view heatmap

Treemap

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 map 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

Sankey

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

Cube view geo shade state

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