CorrelationsLesson 14Free preview

Pandas Correlations

This lesson is part of Pandas · All levels

Summary

Correlation measures how closely linear relationships between two numeric variables, ranging from -1 to 1. The function corr() on the DataFrame produces a correlation matrix that makes it easy to see patterns between columns. A value near 1 means in a direction, near -1 means opposite, and around 0 means weak.

Key points

Correlations between -1 and 1
Corr() produces a correlation matrix between numerical columns
Positive value means a variable moving in a direction
Correlation does not mean cause and effect.

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