What we have in the chart above is Overlapping labels. Right click on any item and choose Format Data Series. In the chart above, category names and sub category names have the same appearance visually. are the categories and Emp / Outsourced are the sub-categories. Much more easier to interpret – within as well as across categories.ĭisplaying the Category label more prominentlyįinance, Marketing, etc. If the data was like this, a pie chart cannot be drawn at all. That is how you will interpret things better. Notice that the relative importance of these two areas is much easier to assess when it is a rectangle rather than a pie. Try to interpret the relative importance of various data points in the treemap.įor easy comparison use the black and purple areas in both charts. It is available in all editions on all devices (including Mobile Phones). Now compare this pie chart with the other chart. In many cases, the percentages or data labels are not shown on top of the chart – leaving the job of interpretation entirely to us. Multiple such pieces confuse our vision and therefore the relative size interpreted by us need not necessarily be the actual size. In case of Pie charts, we are supposed to compare pieces which are an arc – a piece of the pie. How accurate that picture is – that is the real question. If you look at two pieces of the pie, you form a mental picture of their relative sizes. The problem with pie charts is that of interpretation accuracy.
I have intentionally removed all the Data Labels and Legend. Here is the data which is used to draw both the above charts. Pie charts show the proportion of various data points in a series. Displaying the Category label more prominently.
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