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.
Swipe to start coding
- Group data:
- Extract only columns
'day', 'cost', 'money_spent'from thedfDataFrame. - Group by the column
'day'. - Apply
sum()function to grouped data. - Apply
reset_index()function.
- Create column
'ROI':
- Subtract
df['cost']fromdf['money_spent'] - Divide the result by
df['cost'].
Oplossing
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Completion rate improved to 2.08ROI 2/2
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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.
Swipe to start coding
- Group data:
- Extract only columns
'day', 'cost', 'money_spent'from thedfDataFrame. - Group by the column
'day'. - Apply
sum()function to grouped data. - Apply
reset_index()function.
- Create column
'ROI':
- Subtract
df['cost']fromdf['money_spent'] - Divide the result by
df['cost'].
Oplossing
Schakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande optiesBedankt voor je feedback!
Awesome!
Completion rate improved to 2.08single
