Data Science and Machine Learning with R - Vectors: Missing Values

The video tutorial covers the concept of missing values in R, represented by NA. It explains how R handles missing values, the importance of using RStudio documentation, and how to define vectors with missing values. The tutorial also discusses handling different data types, practical scenarios of data import, and functions to test for missing values, such as is.na and anyNA.

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