Correlation coefficient calculator
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Calculate correlation coefficient online with ease
Calculate Pearson correlation coefficient between variables. Visualize relationships with scatter plots and get instant interpretations.
Analyze csv, parquet, tsv and json in seconds
Calculate Pearson correlation coefficient
Visualize relationships with scatter plots
Get correlation strength interpretation
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Perfect for exploring variable relationships
How to calculate correlation coefficient 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 correlation coefficient, strength interpretation, and scatter plot - Interpret results
Use the provided guidelines to understand the strength and direction of the relationship
Example correlations from standard datasets
Iris Dataset: Sepal Length vs. Petal Length
Strong positive correlation typically found in the Iris dataset between sepal length and petal length.
Analysis:
Shows a strong positive correlation, indicating that as sepal length increases, petal length tends to increase as well.
- Correlation coefficient (r): 0.3168
- R-squared: 0.1003
- Strength: Weak
MTCars: Horsepower vs. MPG
Negative correlation between horsepower and miles per gallon (MPG) in cars.
Analysis:
Shows a negative correlation, demonstrating that cars with higher horsepower tend to have lower fuel efficiency (MPG).
- Correlation coefficient (r): -0.8638
- R-squared: 0.7461
- Strength: Strong
Titanic: Age vs. Fare
Weak correlation between passenger age and fare price.
Analysis:
Shows a weak correlation, suggesting that passenger age had little relationship with the fare they paid.
- Correlation coefficient (r): 0.3373
- R-squared: 0.1138
- Strength: Weak
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