Covariance calculator
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Accepts csv, parquet, tsv and json
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About the covariance calculator
Calculate the covariance between two variables to measure their joint variability. Understand how variables change together with correlation analysis and visualizations.
Calculate covariance instantly
Get correlation coefficient
Visualize relationships with scatter plots
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Perfect for analyzing variable relationships
How to calculate covariance online
- Upload your data
Use the input box at the top of the page to upload your dataset - Select variables
Choose two numerical variables from your dataset to analyze - View results
See the covariance, correlation, and additional statistics instantly - Analyze relationship
Use the scatter plot to visualize the relationship between variables
Covariance examples
Strong positive relationship
Variables that tend to increase together show positive covariance. The scatter plot shows a clear upward trend.
Statistics:
- Covariance: 0.7906
- Correlation: 0.9546
- Interpretation: Strong positive linear relationship
Strong negative relationship
Variables that tend to move in opposite directions show negative covariance. The scatter plot shows a clear downward trend.
Statistics:
- Covariance: -0.7856
- Correlation: -0.9450
- Interpretation: Strong negative linear relationship
Weak/no relationship
Variables that move independently show covariance near zero. The scatter plot shows no clear pattern.
Statistics:
- Covariance: -0.0007
- Correlation: -0.0010
- Interpretation: Very weak or no linear relationship
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