In this notebook, we'll explore the latest Tableau EU Superstore data set, which compiles sales performance data for a fictitious retail chain for the years 2019–2022. We'll analyze the data as if it were real, although the results of a number of queries will clearly reveal that it is man-made.

We'll find answers to questions such as:

• How did annual and monthly sales, profits, orders', and customers' numbers change year-over-year?
• How do they vary by region, country, product category, sub-category, and consumer segment?
• Which countries, cities, and product subcategories account for the majority of sales and profits?
• Which ones bring losses?
• What goods are most often purchased together with others?
• What goods are most often returned by customers?
• Is the chain successful in maintaining relationships with existing customers and attracting new ones?
• Is the discount policy effective?