The Best Combination
Interesting! The most profitable weeks are the second to last weeks of December and November. Now, let's answer the question: What was the best selling week and store? Since our data is already weekly, we won't need to group observations this time.
Swipe to start coding
- Select the
'Store', 'Date'
, and'Weekly_Sales'
columns. - Sort the values of the
'Weekly_Sales'
column in descending order (not ascending). - Display the first 10 rows of the obtained dataframe.
Do not worry about syntax, pandas
allows splitting methods by lines.
Løsning
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single
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Completion rate improved to 3.45
The Best Combination
Sveip for å vise menyen
Interesting! The most profitable weeks are the second to last weeks of December and November. Now, let's answer the question: What was the best selling week and store? Since our data is already weekly, we won't need to group observations this time.
Swipe to start coding
- Select the
'Store', 'Date'
, and'Weekly_Sales'
columns. - Sort the values of the
'Weekly_Sales'
column in descending order (not ascending). - Display the first 10 rows of the obtained dataframe.
Do not worry about syntax, pandas
allows splitting methods by lines.
Løsning
Takk for tilbakemeldingene dine!
Awesome!
Completion rate improved to 3.45single