Computes the covariance of all columns against other columns.

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Computes the covariance of all columns against other columns. Covariance measures the relationship between two variables in a set. Read more about covariance on Wikipedia https://en.wikipedia.org/wiki/Covariance

The covariance between variables X and Y in the sets [1, 2, 3] and [4, 5, 6] is 2.33 because it quantifies their linear relationship.

Essential for identifying dependency between variables, useful for forecasting and prediction.

  • Microsoft Excel: COVARIANCE.P
  • Google Sheets: COVAR
  • Apple Numbers: COVAR
  • Python Pandas: df['column1'].cov(df['column2'])
  • Related Words: calculate covariance, covariance matrix

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