Section 1 - Instruction

You've learned to find duplicates with .duplicated(), remove them with .drop_duplicates(), and fix data types with .astype(). Now let's practice combining these skills for complete data cleaning.

These techniques often work together to transform messy data into analysis-ready datasets.

Engagement Message

Ready to practice your data cleaning workflow?

Section 2 - Practice

Type

Fill In The Blanks

Markdown With Blanks

You have a sales dataset with potential duplicates. Fill in the blanks to check for and remove duplicate orders.

Suggested Answers

  • duplicated
  • sum
  • drop_duplicates
Section 3 - Practice

Type

Multiple Choice

Practice Question

You check a DataFrame's data types and see:

Which columns likely need data type conversion?

A. product_id and category B. price and quantity C. product_id and price D. quantity and category

Suggested Answers

  • A
  • B
  • C - Correct
  • D
Section 4 - Practice

Type

Sort Into Boxes

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