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.
Oplossing
Bedankt voor je feedback!
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Completion rate improved to 3.45The Best Combination
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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
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 3.45single
