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.
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.
Multiple measures can be selected and a comparison can be added also.
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.
The table visualization can show multiple dimensions, as well as multiple measures, as columns.
The Grid table is a visualization that allows you to compare values across two dimensions.
The line chart is the natural visualization to show temporal dimensions. This is the perfect visualization to demonstrate a trend over time.
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.
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.
The bar chart is selected for numeric visualizations. It naturally acts as a histogram, showing the frequency distribution of occurrences over numeric buckets.
The bubble chart is available when viewing one or two dimensions. Bubble size and chart axes are defined by the data cube's measures.
When a comparison period is selected, delta information can be viewed by clicking on a bubble.
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.
When there are multiple dimensions being rendered, each subdivides its slice to show proportional representation.
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.
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.
The geo marks visualization is the natural choice for dimensions that represent geographically encoded data. It can work with country encoded data.
Or data at the state level.
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.
Or data at the state level.
The Sankey diagram allows you to see the flow of data between two different dimensions.