Upper management has asked you to construct a pivot table and pivot chart showing a. Annual Charges in rows and group annual charges (each group width must be $12,000) b. Household size in columns and group the household size by 3. Interpret the pivot table/chart. 6. You are also asked to create two more pivot table/chart (you can pick any variable, any group size, any variable in rows and columns etc.). The rows/columns in your pivot table must be different than Part 5. Explain why you picked these pivot table? What does pivot chart tell us about the dataset? Please remember data visualization is very useful if they provide us a story about the dataset, if your graph and pivot table is not clear and not explaining data well, it will not be useful Account Number x1 Annual Income ($1000) x2 Household Size x3 Years of Post-High School Education x4 Hours Per Week Watching Television x5 Age x6 Gender (1:Female, 0:Male) x7 Exceded Credit Limit in Past 12 Months? (No:0, Yes:1) y Annual Charges ($) 23313578 21.8 4.0 5.0 29.0 47 1 0 10023.52 14168784 65.5 7.0 3.0 46.0 60 1 0 11248.76 498076 54.2 3.0 2.0 18.0 47 0 0 6115.00 12286258 73.7 6.0 0.0 44.0 41 0 0 9785.55
Upper management has asked you to construct a pivot table and pivot chart showing a. Annual Charges in rows and group annual charges (each group width must be $12,000) b. Household size in columns and group the household size by 3. Interpret the pivot table/chart. 6. You are also asked to create two more pivot table/chart (you can pick any variable, any group size, any variable in rows and columns etc.). The rows/columns in your pivot table must be different than Part 5. Explain why you picked these pivot table? What does pivot chart tell us about the dataset? Please remember data visualization is very useful if they provide us a story about the dataset, if your graph and pivot table is not clear and not explaining data well, it will not be useful
Account Number | x1 Annual Income ($1000) |
x2 Household Size |
x3 Years of Post-High School Education |
x4 Hours Per Week Watching Television |
x5 Age |
x6 Gender (1:Female, 0:Male) |
x7 Exceded Credit Limit in Past 12 Months? (No:0, Yes:1) |
y Annual Charges ($) |
23313578 | 21.8 | 4.0 | 5.0 | 29.0 | 47 | 1 | 0 | 10023.52 |
14168784 | 65.5 | 7.0 | 3.0 | 46.0 | 60 | 1 | 0 | 11248.76 |
498076 | 54.2 | 3.0 | 2.0 | 18.0 | 47 | 0 | 0 | 6115.00 |
12286258 | 73.7 | 6.0 | 0.0 | 44.0 | 41 | 0 | 0 | 9785.55 |
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