
Essentials of Business Analytics 1st Edition by Jeffrey Camm,James Cochran,Michael Fry,Jeffrey Ohlmann ,David Anderson
Edition 1ISBN: 978-1285187273
Essentials of Business Analytics 1st Edition by Jeffrey Camm,James Cochran,Michael Fry,Jeffrey Ohlmann ,David Anderson
Edition 1ISBN: 978-1285187273 Exercise 2
Heat maps can be very useful for identifying missing data values in moderate to large data sets. The file Surveyresults contains the responses from a marketing survey: 108 individuals responded to the survey of 10 questions. Respondents provided answers of 1, 2, 3, 4, or 5 to each question, corresponding to the overall satisfaction on 10 different dimensions of quality. However, not all respondents answered every question.
a. To find the missing data values, create a heat map in Excel that shades the empty cells a different color. Use Excel's Conditional Formatting function to create this heat map.
Hint: Click on Conditional Formatting in the Styles group in the HOME tab. Select Highlight Cells Rules and click More Rules …. Then enter Blanks in the Format only cells with: box. Choose a format for these blank cells that will make them obviously stand out.
b. For each question, which respondents did not provide answers Which question has the highest nonresponse rate
a. To find the missing data values, create a heat map in Excel that shades the empty cells a different color. Use Excel's Conditional Formatting function to create this heat map.
Hint: Click on Conditional Formatting in the Styles group in the HOME tab. Select Highlight Cells Rules and click More Rules …. Then enter Blanks in the Format only cells with: box. Choose a format for these blank cells that will make them obviously stand out.
b. For each question, which respondents did not provide answers Which question has the highest nonresponse rate
Explanation
Heat Maps are useful for identifying mis...
Essentials of Business Analytics 1st Edition by Jeffrey Camm,James Cochran,Michael Fry,Jeffrey Ohlmann ,David Anderson
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