Section 1 - Instruction
You've learned three approaches to handling missing data: finding it with .isnull(), removing it with .dropna(), and filling it with .fillna(). Now let's practice choosing the right strategy for each situation.
The key is understanding when each approach works best.
Engagement Message
Ready to become a missing data strategist?
Section 2 - Practice
Type
Fill In The Blanks
Markdown With Blanks
You have a customer dataset with 10,000 rows. Only 50 rows have missing email addresses. Fill in the blanks to handle this situation.
Suggested Answers
- isnull
- sum
- dropna
Section 3 - Practice
Type
Sort Into Boxes
Practice Question
Which filling strategy would work best for each scenario? Sort them into the correct categories.
Labels
- First Box Label: Fill with 0
- Second Box Label: Fill with Mean
First Box Items
- Customer purchases
- Items in cart
- Order quantity
Second Box Items
- Product ratings
- User age
- Review score
Section 4 - Practice
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