Distribution Explorer
Pick a column. See its shape, spread and outliers.
Demonstration using a representative 20-row sample dataset.
Summary Statistics
What is happening?
The histogram splits the column's range into 8 equal-width buckets and counts how many values fall in each: a quick read on whether the data is roughly symmetric, skewed, or clustered. The outlier count uses the IQR rule: any value more than 1.5× the interquartile range beyond the 25th or 75th percentile.
Under the Hood
Column selection
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8-bucket histogram over the column's range
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Mean, median, stdev, quartiles, IQR outliers
Inputs
- 5 numeric columns, 20 rows
Processing
- Equal-width bucketing
- IQR outlier rule
Output
- Histogram
- Summary statistics
Technology
- Vanilla JavaScript
- Hand-built histogram bars
Explore another experiment
More Playground experiments are on the way.