In this documentation, we provide an overview of various chart types available in Glean.
Bar charts represent data with rectangular bars. The height of the bars is proportional to the measure values they represent. Bar charts are a good default for a single measure time series. They clearly communicate granularity and it is easy to spot when there is missing data or the value is zero.
Line charts represent data points connected by a line. They are useful for comparing series values directly against one another. e.g. comparing call volumes between departments.
Area charts are similar to line charts, but fill the area under the lines. Area charts emphasize the total area taken up by a series. They work particularly well for charts showing proportional changes of a whole over time.
Horizontal bar charts are extremely effective data visualizations for comparing total values across categories.
Make sure to pick the right sorting for your viewers. Should you sort by the the category names or the measure values? Our other chart types are naturally sorted by time, but here you need to be a bit more careful.
Glean tables provide powerful options for visualization, formatting, and grouping. Tables are often the best option when comparing multiple Measures and breakouts at the same time.
Pivot tables allow you to take a table and break out columns. They enable you to quickly examine the effects of multiple dimensions of the data on a single measure.
Source data tables show the underlying data from your data warehouse. They provide raw data that can be used for further analysis or exported to other tools.
Glean automatically makes URLs in source data tables clickable.