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Data Analysis Pythondata~30 mins

Reading CSV files (read_csv) in Data Analysis Python - Mini Project: Build & Apply

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Reading CSV files (read_csv)
📖 Scenario: You work in a small bookstore. You have a CSV file listing books with their titles, authors, and prices. You want to read this file to see the data inside.
🎯 Goal: Learn how to use pandas.read_csv() to load a CSV file into a DataFrame and display its contents.
📋 What You'll Learn
Use the pandas library to read CSV files
Create a CSV file named books.csv with given data
Read the CSV file into a DataFrame called books_df
Print the DataFrame to see the data
💡 Why This Matters
🌍 Real World
Reading CSV files is a common task to load data from spreadsheets or exported reports into Python for analysis.
💼 Career
Data analysts and scientists often start by reading CSV files to explore and clean data before deeper analysis.
Progress0 / 4 steps
1
Create the CSV file books.csv
Create a CSV file named books.csv with these exact contents including the header line:
Title,Author,Price
The Alchemist,Paulo Coelho,10.99
1984,George Orwell,8.99
Python Basics,John Doe,15.50
Data Analysis Python
Need a hint?

Use Python's open function with mode 'w' to write text to a file.

2
Import pandas library
Write a line to import the pandas library using the alias pd.
Data Analysis Python
Need a hint?

Use import pandas as pd to import the pandas library with the common alias.

3
Read the CSV file into a DataFrame
Use pd.read_csv() to read the file books.csv into a variable called books_df.
Data Analysis Python
Need a hint?

Use books_df = pd.read_csv('books.csv') to load the CSV file into a DataFrame.

4
Print the DataFrame books_df
Write a line to print the DataFrame books_df to see the data.
Data Analysis Python
Need a hint?

Use print(books_df) to display the DataFrame.