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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.
Oplossing
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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.
Oplossing
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