A notebook mixes code, output, and explanation. Execution order can hide dependencies, so restart and run all cells before sharing results.

Worked example

import pandas as pd
orders = pd.read_csv('orders.csv')
orders.head()

Put it into practice

Load a small orders file and record its source, row count, columns, and analysis question.

Check your understanding

• Explain the main idea in your own words.
• Compare your result with the worked example and identify any assumptions you made.
• Record one question or edge case to discuss with your instructor.

Connect this to your project

Analyze a retail orders dataset, document quality issues, and deliver a notebook with revenue trends and customer insights.

Keep the output of this activity in your project folder. You will use it when you review and present your final work.