Dealing with missing data
Dealing with missing data Data Science Project

Project Activities

All our Data Science projects include bite-sized activities to test your knowledge and practice in an environment with constant feedback.

All our activities include solutions with explanations on how they work and why we chose them.


Did you find any missing value?

Calculate the percentage of missing values.


Drop rows with missing values

Drop rows with missing values, and store the new dataframe in data_dropna.


Fill missing values with mean and mode

Fill missing values with the mean for age and Salary, and the mode value for UniversityDegree and Sex. Store the result in data_filled.


Analyzing the Impact

Based on previous code select the correct sentence.

Dealing with missing dataDealing with missing data

Verónica Barraza

This project is part of

Introduction to Supervised Learning with scikit-learn

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