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Learn Challenge: Compare Sales and Profit | Business Data Visualization
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Python for Business Analysts

bookChallenge: Compare Sales and Profit

Comparing sales and profit side by side is essential for business analysis because it reveals products that may generate high revenue but yield low profit. By visualizing both metrics together, you can quickly spot items that, despite strong sales, might have high costs or low margins, as well as products that are both strong sellers and highly profitable. This insight helps you identify where to focus efforts to improve profitability and avoid relying solely on revenue figures when making strategic decisions.

Task

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Write a function compare_sales_profit(sales_list, profit_list, product_names) that creates a matplotlib figure with two subplots: one bar chart for sales and one bar chart for profits, both labeled and titled for clarity.

  • Create a matplotlib figure with two subplots arranged in one row and two columns.
  • In the first subplot, plot a bar chart of sales_list with product_names as labels.
  • In the second subplot, plot a bar chart of profit_list with product_names as labels.
  • Add appropriate titles and axis labels to both subplots.

Solution

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SectionΒ 2. ChapterΒ 7
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bookChallenge: Compare Sales and Profit

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Comparing sales and profit side by side is essential for business analysis because it reveals products that may generate high revenue but yield low profit. By visualizing both metrics together, you can quickly spot items that, despite strong sales, might have high costs or low margins, as well as products that are both strong sellers and highly profitable. This insight helps you identify where to focus efforts to improve profitability and avoid relying solely on revenue figures when making strategic decisions.

Task

Swipe to start coding

Write a function compare_sales_profit(sales_list, profit_list, product_names) that creates a matplotlib figure with two subplots: one bar chart for sales and one bar chart for profits, both labeled and titled for clarity.

  • Create a matplotlib figure with two subplots arranged in one row and two columns.
  • In the first subplot, plot a bar chart of sales_list with product_names as labels.
  • In the second subplot, plot a bar chart of profit_list with product_names as labels.
  • Add appropriate titles and axis labels to both subplots.

Solution

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Everything was clear?

How can we improve it?

Thanks for your feedback!

SectionΒ 2. ChapterΒ 7
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single

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