Question: Data preparation is important steps in effective data analytics. Data are rarely in a ready to use form and format. In fact, they often come
Data preparation is important steps in effective data analytics. Data are rarely in a ready to use form and format.In fact, they often come in to projects a lot like the provided data. Using these data, please prepare the following:Download In fact, they often come in to projects a lot like the provided data. Using these data, please prepare the following:
Microsoft Excel spreadsheet that includes:
- An updated worksheet that transforms the provided data into data that are ready for pivot table analysis.
I do not understand how to take the raw data and clean it up in excel, what are the steps
| Total NPV Lift | $0.00 | |||||||||||||||||||
| price | 28000 | incentive | 1000 | |||||||||||||||||
| df | 0.097 | cost | 24000 | inflation | 0.05 | Low | High | |||||||||||||
| compprob | 0.24 | newbuy | newbuy | 0.35 | 1.7 | 9.9 | ||||||||||||||
| fractionbuy | 0.31 | Basenpv | newcomp | newcomp | 0.32 | 5.1 | 13 | New NPV | ||||||||||||
| Base Case | loyalprob | 0.69 | $0.00 | newloyal | newloyal | 0.8 | 5 | 13.9 | $0.00 | |||||||||||
| Year | Ford | Comp | Fusion who buy Fusion | Comp who Buy Fusion | Fusion who buy comp | Comp who buy Comp | Profit per car | Profit | Year | Ford | Comp | Fusion who buy Fusion | Comp who Buy Fusion | Fusion who buy comp | Comp who buy Comp | Profit per car | Profit | |||
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