Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Impara Challenge: Compare Sales and Profit | Business Data Visualization
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.

Compito

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.

Soluzione

Tutto è chiaro?

Come possiamo migliorarlo?

Grazie per i tuoi commenti!

Sezione 2. Capitolo 7
single

single

Chieda ad AI

expand

Chieda ad AI

ChatGPT

Chieda pure quello che desidera o provi una delle domande suggerite per iniziare la nostra conversazione

Suggested prompts:

Can you suggest the best ways to visualize sales and profit side by side?

What are some common mistakes businesses make when analyzing sales and profit together?

How can I use this analysis to improve my business strategy?

close

bookChallenge: Compare Sales and Profit

Scorri per mostrare il menu

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.

Compito

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.

Soluzione

Switch to desktopCambia al desktop per esercitarti nel mondo realeContinua da dove ti trovi utilizzando una delle opzioni seguenti
Tutto è chiaro?

Come possiamo migliorarlo?

Grazie per i tuoi commenti!

Sezione 2. Capitolo 7
single

single

some-alt