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Analyzing and Visualizing Real-World Data

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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.

Opgave

Swipe to start coding

  1. Prepare the data: group the values of the df DataFrame based on the 'Store' column, then select the 'Weekly_Sales' column, calculate sum values across groups, and reset the indexes. Save the result within the data variable.
  2. Initialize a bar plot. Use the 'Store' column values of data for the x-axis, 'Weekly_Sales' for the y-axis, and make bars 'blue'.
  3. Display the plot.

Løsning

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Sektion 4. Kapitel 6
Vi beklager, at noget gik galt. Hvad skete der?

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book
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.

Opgave

Swipe to start coding

  1. Prepare the data: group the values of the df DataFrame based on the 'Store' column, then select the 'Weekly_Sales' column, calculate sum values across groups, and reset the indexes. Save the result within the data variable.
  2. Initialize a bar plot. Use the 'Store' column values of data for the x-axis, 'Weekly_Sales' for the y-axis, and make bars 'blue'.
  3. Display the plot.

Løsning

Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 4. Kapitel 6
Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
Vi beklager, at noget gik galt. Hvad skete der?
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