Purpose & Application¶
The heatmap helps you acquire a global vision on combining several indicators and entities. It is also ideal for cutting through data.
The heatmap is good for comparison. Use the heatmap to get an overview of what’s happening across a large number of metrics and dimensions. Each value represents the intersection of the the x-axis and the y-axis. You can also add a secondary value (for instance variation vs last period).
📝 For example, I want to see all my industrial KPIs by production sites
A heat map visualizes data through color variations. As a matter of fact, this graph is useful for cross-referencing a variety of data, placing variables in rows and columns, and coloring cells in the table.
Heat models are quite effective to show variations between multiple variables. It acts by revealing all the models available, showing forth similarity between variables, and detecting any possible correlations between them.
What makes this chart a killer story?
Subvalue will allow you to display a complementary information within cells in the table. This way, you can focus on what’s important for you : market share & ranking, sales & variation… every analysis is possible!
You have the option to display complementary information within the legend. Very useful if you want to compare performances to the target for example! 🎯
Xorder and yorder will give you the opportunity to choose the order the information is displayed. It can be helpful if you want to focus first on something specific! 🔍
I want to see first Megane car performance in India.
Packs will help you vizualize groups or categories that you want to analyze together.
I want to highlight cars from the same brand and countries from the same zone. 🚗
Toucan’s Design Touch¶
🎨 We choose not to display xPacks names on the heatmap because the display would be terrible on mobile.
Also, we do not offer tooltip like legend because, well, try to use that on mobile… #mobilefirst 🤳