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Learn ROI 2/2 | Becoming an Analyst
Introduction to Python for Data Analysis

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ROI 2/2

As you can recognize from the previous chapter, we have some problems with ROI in general; we received -19.644756245106056%. Unfortunately, we suffer losses. In this case, we must dive deeper and find the reason.

The next step of our research is to check if we have unprofitable days.

Task

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  1. Group data:
  • Extract only columns 'day', 'cost', 'money_spent' from the df DataFrame.
  • Group by the column 'day'.
  • Apply sum() function to grouped data.
  • Apply reset_index() function.
  1. Create column 'ROI':
  • Subtract df['cost'] from df['money_spent']
  • Divide the result by df['cost'].

Solution

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Section 4. Chapter 10

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book
ROI 2/2

As you can recognize from the previous chapter, we have some problems with ROI in general; we received -19.644756245106056%. Unfortunately, we suffer losses. In this case, we must dive deeper and find the reason.

The next step of our research is to check if we have unprofitable days.

Task

Swipe to start coding

  1. Group data:
  • Extract only columns 'day', 'cost', 'money_spent' from the df DataFrame.
  • Group by the column 'day'.
  • Apply sum() function to grouped data.
  • Apply reset_index() function.
  1. Create column 'ROI':
  • Subtract df['cost'] from df['money_spent']
  • Divide the result by df['cost'].

Solution

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 4. Chapter 10
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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