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']
.
Рішення
Дякуємо за ваш відгук!
single
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Completion rate improved to 2.08
ROI 2/2
Свайпніть щоб показати меню
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']
.
Рішення
Дякуємо за ваш відгук!
Awesome!
Completion rate improved to 2.08single