Quadrification is a chart type that displays data relative to size of your dataset in nested rectangles. This type of chart is similar to tree maps with some notable exceptions. Unlike tree maps, which are conducive to interactivity by “branching out” when selected, quadirifcation does not “branch out” upon selected. That said, quadrification is an extremely effective tool for providing an overview of your data. The structure makes it easy to parse out information without occupying too much space.
How does it work?
This chart type requires one column/row with TEXT-based values and one column/row of NUMERIC-based values.
There are a few things to consider when working with quadrification. You should not use Quadrification if your data set has negative values. Since Quadrification is a structure based on nested rectangles, it does not account for negative values. It is also best to avoid Quadrification if there is a significant gap between values in your structure. The purpose is to parse out information relative to the size but huge gaps might render your chart ineffective.
Nonetheless, Quadrification is great for visual storytelling. Because it is easy to parse out data, your viewers can discern the values virtually without any effort. It’s a wonderful tool for showing your data in different ways. This can help add value to your presentation through repetition of data in dynamic ways that gives consistency and depth to your message.
Using Quadrification in Quadrigram
Modern visualization tools require a deepened understanding of a programming language in order to visualize the information. With Quadrigram, making quadrificated chart types is as simple as clicking the chart type and dragging the block to the editor.
Create a Data Mosaic
Once you have your data chosen. You can play around with the style editor and see what best works for your project.