![]() The data in the third table is well suited for a box plot, and we'll start by creating a stacked column chart which we'll then modify. Top of Page Step 3: Create a stacked column chart To begin, create a third table, and copy the minimum values from the last table there directly.Ĭalculate the quartile differences with the Excel subtraction formula (cell1 – cell2), and populate the third table with the differentials.įor the example data set, the third table looks like the following: In effect, you have to calculate the differentials between the following: ![]() ![]() Next, calculate the differences between each phase. Top of Page Step 2: Calculate quartile differences The following quartiles are calculated from the example data set: To do this, create a second table, and populate it with the following formulas:Īs a result, you should get a table containing the correct values. Step 4: Convert the stacked column chart to the box plot styleįirst you need to calculate the minimum, maximum and median values, as well as the first and third quartiles, from the data set. Each column has 30 entries from the following ranges: In our example, the source data set contains three columns. While Excel 2013 doesn't have a chart template for box plot, you can create box plots by doing the following steps:Ĭalculate quartile values from the source data set.Ĭreate a stacked column chart type from the quartile ranges.Ĭonvert the stacked column chart to the box plot style. In some box plots, the minimums and maximums outside the first and third quartiles are depicted with lines, which are often called whiskers. In a box plot, numerical data is divided into quartiles, and a box is drawn between the first and third quartiles, with an additional line drawn along the second quartile to mark the median. ![]() Again, you can verify this number by using the QUARTILE.EXC function or looking at the box and whisker plot.If you’re doing statistical analysis, you may want to create a standard box plot to show distribution of a set of data. This makes sense, the median is the average of the middle two numbers.Ħ. You can verify this number by using the QUARTILE.EXC function or looking at the box and whisker plot.ĥ. In this example, n = 8 (number of data points).Ĥ. This function interpolates between two values to calculate a quartile. For example, select the even number of data points below.Įxplanation: Excel uses the QUARTILE.EXC function to calculate the 1st quartile (Q 1), 2nd quartile (Q 2 or median) and 3rd quartile (Q 3). Most of the time, you can cannot easily determine the 1st quartile and 3rd quartile without performing calculations.ġ. As a result, the whiskers extend to the minimum value (2) and maximum value (34). As a result, the top whisker extends to the largest value (18) within this range.Įxplanation: all data points are between -17.5 and 34.5. Therefore, in this example, 35 is considered an outlier. A data point is considered an outlier if it exceeds a distance of 1.5 times the IQR below the 1st quartile (Q 1 - 1.5 * IQR = 2 - 1.5 * 13 = -17.5) or 1.5 times the IQR above the 3rd quartile (Q 3 + 1.5 * IQR = 15 + 1.5 * 13 = 34.5). In this example, IQR = Q 3 - Q 1 = 15 - 2 = 13. On the Insert tab, in the Charts group, click the Statistic Chart symbol.Įxplanation: the interquartile range (IQR) is defined as the distance between the 1st quartile and the 3rd quartile.
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