Using value_counts() to Analyze Distributions
📖 Scenario: Imagine you work in a small bookstore. You have a list of books sold in one day. You want to find out how many times each book was sold to understand which books are popular.
🎯 Goal: You will create a list of sold books, then use value_counts() to find the count of each book sold. Finally, you will print the distribution of book sales.
📋 What You'll Learn
Create a list called
books_sold with exact book titles.Create a Pandas Series from the list.
Use
value_counts() on the Series to get the count of each book.Print the result.
💡 Why This Matters
🌍 Real World
Counting how many times each product or item appears in sales data helps businesses understand customer preferences and manage inventory.
💼 Career
Data analysts and data scientists often use <code>value_counts()</code> to quickly summarize categorical data and find patterns.
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