![]() ![]() None of the values that you want to plot is negative. You have one or more data series that you want to plot. ![]() Displaying values or percentages in data labels is very useful in a doughnut chart, but if you want to compare the data points side by side, you should use a stacked column or stacked bar chart instead. The proportions of outer rings and inner rings do not represent the size of the data accurately - data points on outer rings may appear larger than data points on inner rings while their actual values may be smaller. ![]() The first data series is displayed in the center of the chart.īecause of their circular nature, doughnut charts are not easy to read, especially when they display multiple data series. Each data series that you plot in a doughnut chart adds a ring to the chart. Just like a pie chart, a doughnut chart shows the relationship of parts to a whole, but a doughnut chart can contain more than one data series. Learn more about plotting data in a doughnut chartĭata that is arranged in columns or rows only on a worksheet can be plotted in a doughnut chart. Implement thread.Note: Beginning with Office 2016, doughnut charts are discontinued in favor of starburst charts.Data Science vs Big Data vs Data Analytics.But all I get is a blank pie and a legend value of 1. I was hoping for the proportion of each age group. Given that this column has only 3 distinct values, I reasoned that I could use it to make a pie chart. ![]() In order to give me the values "Under 30," "Over 30 and under 50," and "Over 50," I've tried adding a column with nested if statements. I understand that at that point, there are too many ages to include in a pie chart. A disco ball-colored chart with the digits 1 through 9 appears Excel then crashes. I choose the column, choose Inset, then select Pie Chart. A pie chart that displays the proportions of clients under 30, between 30 and 50, and above 50 is what I'm after.Ģ,000 or more rows are present. I have a 2010 Excel document with a ton of customer information. ![]()
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