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.
Solution
Merci pour vos commentaires !
single
Demandez à l'IA
Demandez à l'IA
Posez n'importe quelle question ou essayez l'une des questions suggérées pour commencer notre discussion
Awesome!
Completion rate improved to 3.45Comparing Shops
Glissez pour afficher le menu
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.
Solution
Passez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessousMerci pour vos commentaires !
Awesome!
Completion rate improved to 3.45single
