QI Macros Box Plot Generator Creates Plots in Three Easy Steps. Box and Whisker Plots are hard to create manually or in Excel. Use QI Macros to save time and get the calculations right. Point - select your boxplot data in an Excel worksheet. Click - on QI Macros Menu and choose the Box Whisker Plot. Analyze and Improve - QI Macros will do the calculations and make a boxplot in Excel. Box and Whisker Plot Video It is Easy to Create a Box Plot in Excel Using QI Macros Are you having trouble: Drawing boxplots? Figuring out what each part of the box and whisker represents? QI Macros Add-in Makes it Easy to Create Box and Whisker Plots. Just select your data and then select the Box Whisker Plot from the QI Macros menu.
Box and Whisker Charts are one of the many new Charts available only in Excel 2016 and were originally invented by in 1977. They show you the distribution of a data set, showing the median, quartiles, range and outliers. The X in the box represents the Mean. The Median divides the box into the interquartile range. The box represents 50% of the data set, distributed between the 1st and 3rd quartiles. For example, 25% of the data lie between the values of the 2nd Quartile box and the other 25% lie between the values of the 3rd Quartile box.
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The lines extending vertically outside of the box ( whiskers) show the outlier range outside of the upper and lower quartiles. So this is the lowest and highest data points within the data set. Below is a Box and Whisker diagram explaining this: Here is how the Box and Whisker chart looks inside Excel 2016: In this example I show you how easy it is to insert a Box and Whisker Chart using Excel 2016. To upgrade to Excel 2016 you can use this link here: Read to create a box and whisker diagram (box plot) using Excel 2013 or below. STEP 1:Highlight your table and go to Insert Recommended Charts STEP 2: Select All Charts Box and Whisker OK STEP 3: Now you have your Box and Whisker Chart. STEP 4: You can further customize the look and feel of your Box and Whisker Chart, by going to Chart Tools Design / Format STEP 5: In our example, let us go to Chart Tools Design and pick one of the alternate designs.
Now you have your beautiful looking Box and Whisker chart and you can quickly point out to your management where the outliers lie HELPFUL RESOURCE.
A Box and Whisker plot is used to present a visual representation of how data is spread out and how much variation there is in the data. It focuses attention on the median, the quartile, and the minimum and maximum values. The example below demonstrates how to use the Box and Whisker plot in SPC for Excel. The data is available in the workbook SPC for Excel Example Data.xls (default installation folder: My Documents/SPC for MS Excel) Example You are interested in comparing the average monthly temperature for three cities. The Box and Whisker plot can show this variation.
The data you have is shown below. Enter the data into a spreadsheet as shown below. Seattle, WA San Antonio TX New York, NY Jan 46 61 38 Feb 51 66 40 Mar 54 74 50 Apr 58 80 61 May 64 85 72 June 70 92 80 July 74 95 85 Aug 74 95 84 Sept 69 89 76 Oct 60 82 65 Nov 52 72 54 Dec 46 64 43 2. Select the data and the column headings as shaded above. Select the following from the SPC Menu: Six Sigma ⇒ Other Six Sigma Tools ⇒ Multiple Means and Variances ⇒ Box and Whisker Plots 4. Fill in the Box and Whiskers Plot Input form.
Select the range: The default range is the range that is selected on the worksheet. Treatment Data in Columns/Rows: The data can be in columns or rows.
Box and Whisker Title and Labels i. Title: The title that will appear on the chart, default is “Box and Whisker Plot.” ii.
Y and Axis Label: The label that will appear on the y axis; default is “Measurement.” d. Label Chart with Q1, Q3, Median and Whiskers Select Yes to label the chart for Q1 (25% quartile), Q3 (75% quartile), the median and the whiskers; default is no. Select OK to run the program and generate the output. Box and Whisker Plot Output Outliers and Adding Q1, Q2, Median and Whiskers Labels The program will plot outliers and color them red.
Consider the data below. The two data sets are identical except that two outliers have been added to the second data set. Data 1 Data 2 20.87 20.87 25.29 25.29 18.7 2 22.41 22.41 22.34 22.34 26.1 26.1 20.32 20.32 23.1 23.1 15.49 15.49 16.44 16.44 14.16 14.16 16.05 16.05 15.62 15.62 19.32 19.32 20.93 20.93 21.46 21.46 22.08 22.08 17.02 17.02 19.19 19.19 12.41 12.41 22.28 22.28 20.13 20.13 14.72 14.72 14.72 14.72 19.52 19.52 18.03 18.03 21.22 21.22 21.53 42 The Box and Whisker plot for this data is shown below (using the option to add the labels). Note that the two outliers in the second dataset are plotted and are in red. The calculations for the Box and Whisker plot are on the next page.
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