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

ROI 2/2

メニュヌを衚瀺するにはスワむプしおください

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.

タスク

スワむプしおコヌディングを開始

  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'].

解答

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セクション 4. 章 10
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