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 thedf
DataFrame. - 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']
.
Solution
Merci pour vos commentaires !
single
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Completion rate improved to 2.08
ROI 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 thedf
DataFrame. - 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']
.
Solution
Merci pour vos commentaires !
Awesome!
Completion rate improved to 2.08single