Reading Excel files (read_excel) in Data Analysis Python - Mini Project: Build & Apply

Reading Excel files (read_excel)

📖 Scenario: You work in a small store and have sales data saved in an Excel file. You want to read this data into your program to analyze it.

🎯 Goal: Learn how to read an Excel file using pandas.read_excel and display its contents.

📋 What You'll Learn

Use the pandas library to read Excel files

Create a variable to hold the Excel file path

Read the Excel file into a DataFrame

Print the DataFrame to see the data

💡 Why This Matters

🌍 Real World

Reading Excel files is common in many jobs where data is stored in spreadsheets, like sales, finance, or research.

💼 Career

Data analysts and scientists often start by loading Excel data into programs to clean and analyze it.

1

Create the Excel file path variable

Create a variable called file_path and set it to the string 'sales_data.xlsx'.

Data Analysis Python

# Create a variable called file_path and set it to 'sales_data.xlsx'
# Your code here

Need a hint?

Use a string to store the file name with extension .xlsx.

2

Import pandas library

Import the pandas library using the alias pd.

Data Analysis Python

import pandas as pd

# Your code here

Need a hint?

Use import pandas as pd to import the library.

3

Read the Excel file into a DataFrame

Use pd.read_excel with the variable file_path to read the Excel file. Store the result in a variable called sales_df.

Data Analysis Python

sales_df = pd.read_excel(file_path)
# Your code here

Need a hint?

Use pd.read_excel(file_path) to read the Excel file.

4

Print the DataFrame

Print the variable sales_df to display the contents of the Excel file.

Data Analysis Python

print(sales_df)
# Your code here

Need a hint?

Use print(sales_df) to show the data.