Comparing Shops
As you can see, all of these points are related to the 'pre-Christmas' periods, as we noticed before. Now, let's use visualizing tools to compare the revenue for shops. We already know the top 5 selling stores, but are other shops significantly worse? We'll find out using a bar chart.
Swipe to start coding
- Prepare the data: group the values of the
dfDataFrame based on the'Store'column, then select the'Weekly_Sales'column, calculate sum values across groups, and reset the indexes. Save the result within thedatavariable. - Initialize a bar plot. Use the
'Store'column values ofdatafor the x-axis,'Weekly_Sales'for the y-axis, and make bars'blue'. - Display the plot.
Lösung
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Completion rate improved to 3.45Comparing Shops
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As you can see, all of these points are related to the 'pre-Christmas' periods, as we noticed before. Now, let's use visualizing tools to compare the revenue for shops. We already know the top 5 selling stores, but are other shops significantly worse? We'll find out using a bar chart.
Swipe to start coding
- Prepare the data: group the values of the
dfDataFrame based on the'Store'column, then select the'Weekly_Sales'column, calculate sum values across groups, and reset the indexes. Save the result within thedatavariable. - Initialize a bar plot. Use the
'Store'column values ofdatafor the x-axis,'Weekly_Sales'for the y-axis, and make bars'blue'. - Display the plot.
Lösung
Wechseln Sie zum Desktop, um in der realen Welt zu übenFahren Sie dort fort, wo Sie sind, indem Sie eine der folgenden Optionen verwendenDanke für Ihr Feedback!
Awesome!
Completion rate improved to 3.45single
