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The right chart answers the viewer’s question with the least effort. Start from the question and the shape of the data — comparison, trend, part-to-whole, distribution, single value, spatial — and the candidate list narrows quickly. A comparison question usually points to a bar chart. Exact cell values usually point to a table. Match the visual to the read, not to what looks dense.
Bar chart example in Building BI comparing category values along a horizontal axis

Bar chart comparing categories

Match the question

Table types

A pivot table folds a hierarchy down the rows and spreads a dimension across the columns — useful when exact values and a two-way breakdown both matter.
All Down Devices pivot-style table grouping devices under Water Meter and VAV, with device name links and Floor values

Pivot table with expandable device hierarchy

Top N vs scrolling

Label Top N cuts so viewers know data is hidden. For interactive ops dashboards, a soft top (about 20) with a scrollbar often beats a hard cut. See Filter options and Zoom and scroll.
Chart Configuration Style tab with Scroll section expanded showing X-Axis Items set to 5 and Y-Axis Items set to 5

Scroll settings limit how many axis items show before scrolling

Audience and consistency

  • A chart should be valuable before you add drill-through or cross-filtering. See Drill-through filters.
  • Match the visual to the audience. An operator on a wall display needs a different chart than an analyst exploring data. See Philosophy.
  • When two types both fit, prefer the one your dashboards already use for that question.

Next steps

Chart types

Look up Setup fields for every widget type.

Widget customization

Style widgets and apply defaults.
Last modified on August 18, 2026