R Missing Values (NA)

What are Missing Values?

Missing values in R are represented using NA.

They appear when data is incomplete.

Detecting Missing Values

Filtering Missing Values

Removing Missing Values

Replacing Missing Values

Using Functions with NA

Handling NA in Data Frames

Full Example

Why Handling Missing Values is Important

• Real data often has missing values
• Prevents errors in calculations
• Improves data quality
• Required for analysis

Common Mistakes

• Forgetting na.rm = TRUE
• Not checking for NA
• Removing too much data

Practice

Create a vector with missing values, remove them, and calculate the mean.

Need Help?

Ask the AI if you need help understanding or want to dive deeper in any topic