There are other charts that can be used for plotting hierarchical data some of the charts that may quickly come to mind are the multi-level pie chart and the drag-node chart. Treemap charts are equipped to be able to plot more than tens of thousands of data points. You have a very large amount of hierarchical data and a space constraint. Like said above, the dimensions of the rectangles in the sample treemap chart (above) represent the units sold for a model in the current year and the color represents the growth in sales w.r.t the previous year sales. Your data needs to be studied w.r.t two quantitative values.Įach rectangle (node) in the treemap chart showcases the values for two quantitative values. Let’s take a look at what are the ideal use cases that warrant the use of a treemap chart: Like every chart type and data visualization technique, the treemap charts works well only if it is used in situations that justify its use. Read on to know the best situations in which you can use your treemap chart to utmost advantage. That said, charting facilitates the desired analysis only when data is visualized on the right type of chart-if you’ve worked with data visualization extensively, you’d know that this varies not just basis your data, but also basis the kind of analysis you want to facilitate. The Honda NBC110 is the only Honda-manufactured motorbike to see a decent growth in its sales.
of units than Honda NBC110 this year, the former’s growth in sales from last year is far better than the latter. Although Harley-Davidson XG500 sold less no.Each rectangle showcases two quantitative variables: the average sales for a model-represented by the dimensions of the rectangle-and the percentage growth in the sales of a model compared to the previous year-represented by the color of the rectangle.īelow are a couple of deductions that you can easily make from the above chart: The treemap chart above shows the category-wise sales figures for popular motorbike models.