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Python 3
Identifying Missing Values

Identifying Missing Values

Identifying Missing Values

Identifying Missing Values

Before making any modifications, we must identify where missing values exist.

Code

df.isnull().sum()

Explanation

This command counts the number of missing values in each column.

Example Output:

Column	Missing Values
temperature	3
humidity	2
precipitation	5
wind_speed	1

Knowing which columns contain missing data helps determine the most appropriate cleaning strategy.

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Identifying Missing Values

Contents

Identifying Missing Values

Code

Explanation

Weather Data Analysis and Visualization Using Python

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