Heatmap
Cluster heatmap (when clustering applied); correlation matrix (for correlation data); X-Y heatmap
This is a grid of coloured squares showing the relationship between two things. The colour of each square tells you how strong the relationship is at that point, with darker colours indicating a stronger relationship. This is good for showing variance, revealing any patterns, displaying whether any variables are similar to each other, and detecting any correlations.
Because they depend on colour to show values, heatmaps are best for more generalised views of data because it’s hard to tell the differences between colours. But you can fix this by including the data values inside the cells. You can also use heatmaps to show changes in data over time by presenting the rows or columns as time intervals. Choose a colour scheme that effectively communicates the different values and is accessible to anyone with a colour vision deficiency. Label both axes clearly with category names, and provide a colour scale legend. Don't use if you have a lot of categories on either axis or if the values in the cells aren't meaningfully comparable.
1. To compare the levels of agreement and disagreement with statements about workplace flexibility across different demographics.
2. To visualise employees' feelings about different aspects of hybrid work across various industries and company sizes.
How do you rate your satisfaction with your company's flexibility, technology and collaboration opportunities? [Show responses organised by employees' generations.]
Multiple mention, Single mention