Variance calculator
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Calculate variance online with ease
Our variance calculator helps you analyze the spread of your data by computing both sample and population variance. Visualize your data distribution and get additional statistical measures to better understand your dataset.
Calculate sample and population variance
Visualize data distribution
Get additional statistics (mean, standard deviation)
Handle large datasets efficiently
Export results and visualizations
How to calculate variance online
- Upload your data file
Upload your data in any of these formats: csv, parquet, tsv and json - Select columns for analysis
Choose the numerical columns you want to analyze from your uploaded dataset - View variance results
The calculator will automatically compute both sample variance (for data samples) and population variance (for complete datasets) - Explore the visualization
Examine the distribution plot to understand your data's spread and shape
Example distributions with different variances
Normal distribution
A normal distribution with mean 0 and standard deviation 1 shows typical variance patterns.
Sample statistics:
- Sample variance: 0.9715
- Population variance: 0.9705
- Mean: -0.0051
Uniform distribution
A uniform distribution between -3 and 3 shows how variance measures spread in bounded data.
Sample statistics:
- Sample variance: 3.0644
- Population variance: 3.0614
- Mean: -0.0406
Bimodal distribution
A bimodal distribution shows how variance captures spread in multi-peaked data.
Sample statistics:
- Sample variance: 4.2477
- Population variance: 4.2434
- Mean: 0.0054
MT cars
Motor Trends Car Road Tests dataset.
filename
mtcars.parquet
rows
32
Flights 1m
1 Million flights including arrival and departure delays.
filename
flights-1m.parquet
rows
1000000
Iris
Iris plant species data set.
filename
iris.parquet
rows
50
House price
Housing price dataset.
filename
house-price.parquet
rows
545
Weather
Weather dataset with temperature, rainfall, sunshine and wind measurements.
filename
weather.parquet
rows
366