When should I trim the number of values?
Too many points overwhelm viewers. Keep x-axis labels readable and rumble the data into summary points when possible.
This chart turns structured data into a visual pattern that is faster to scan than a raw table.
Use it when the reader should understand shape, comparison, distribution, proportion, or movement quickly.
Most charts begin with a small, structured table before the visual layer is added:
| Label | Value A | Value B |
|---|---|---|
| Example 1 | 24 | 31 |
| Example 2 | 30 | 28 |
| Example 3 | 18 | 36 |
The raw values stay the same, but the visual structure makes patterns easier to spot: highs, lows, clusters, gaps, and unusual changes.
Too many points overwhelm viewers. Keep x-axis labels readable and rumble the data into summary points when possible.
Change the editable cells in the live example and save to see how the chart responds.
Treemaps display hierarchical data as a set of nested rectangles. Each branch of the tree is given a rectangle, which is then tiled with smaller rectangles representing sub-branches. A leaf node's rectangle has an area proportional to a specified dimension of the data.
Treemaps are excellent for identifying the largest contributors in a large dataset where a pie chart would become too cluttered.
I specialize in making complex datasets easy to understand through advanced visualisation techniques. If your business deals with multi-layered data that needs clear reporting, let's talk about how a custom dashboard can help.