Overview
Transform supports a variety of chart types. You can change Transform chart types on any chart in the application by using the icon with a trend line on the top right-hand corner. Depending on the data selection, the chart types available to you will update. The following chart types are supported: Line, Bar, Area, Single Value, Table. Below are common selection combinations and the types of charts you can use in each scenario:
One Metric Over Time
Example: Sales over Time
- Line
- Bar
- Area
- Single Value (it will show the latest available data point for selected granularity)
- Table
One Metric Over Time with One Grouping
Example: Sales over Time by Country
- Multi-Line
- Stacked Area
- Share of Area
- Stacked Bar
- Grouped Bar
- Share of Bar
- Single Value (shows the latest available data point for each grouping)
- Table
One Metric Over Time with Multiple Groupings
Example: Sales over time by Country and Product Type
- Table
One Metric and No Grouping (No Time)
Example: Sales [with time range of 7 days]
This will aggregate the metric over the 7 day period
- Single Value
- Table
Two Metrics Over Time
Example: Revenue and Quantity Over Time
- Line (with option of single or dual axes)
- Table
- Single Value (shows the latest available data point for each metric chosen)
More than Two Metrics Over Time
Example: Revenue, Quantity, Sales by Time
- Table
- Single Value (Shows the latest available data for each metric chosen)
More than Two Metrics over Time with Grouping
Example Revenue and Quantity over time by Country
- Table
More than Two Metrics over Time without Grouping (No Time)
Example Revenue and Quantity over time by Country
- Table
- Single Value (shows aggregation over time range for each metric)
Remarks
Table view can be used for any selection
Selections with two metrics can be viewed in a single axes or dual axes. If the metrics don't share the same value format, we will always default to dual. As a best practice, if the two metrics are comparable (e.g., gross revenue and net revenue), it is highly recommended to set them into the same value format and use a single axes to visualize the data.
Looking at a metric without any groupings is only supported for a single metric at a time. This will aggregate the metric value over the time range selected.