distributionlabA LITTLE DATA. A LOT OF DISCOVERY.Field guide ↗
THE STATISTICS PLAYGROUND

Every dataset
has a shape.

Make yours visible. Explore the patterns, find the center,
and discover what your numbers are telling you.

Live exploration · no uploads needed
02

See the distribution

Mean Median
OBSERVATIONS—Numbers in your dataset
MEAN—The arithmetic average
MEDIAN—The middle of the sorted data
SAMPLE STD. DEVIATION—Spread around the mean · uses n − 1
03

Explore percentiles

A percentile locates a value in the sorted data.

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Calculated by linear interpolation at rank (n − 1) × p / 100. Different software may use different conventions.

Frequency table

Same bins as the chart
Value intervalCountShareCumulative

Intervals include the left edge and exclude the right. The final interval includes both edges.

A FIELD GUIDE TO THE SHAPES

Look beyond the average.

The same average can hide very different stories. Watch the shape, center, and spread together.

01 / NORMAL

The familiar bell

Values cluster near the center, with fewer toward either end. A normal distribution is symmetric; in an ideal normal model, about 68% of values fall within one standard deviation of the mean.

02 / UNIFORM

An even playing field

Equal-width intervals are equally likely in a uniform model. A finite random sample may look uneven. Our sample is deliberately balanced to make the flat shape easy to see.

03 / SKEWED

A tail tells a story

A right-skewed distribution has a longer tail toward larger values. High values pull the mean upward; the median is usually less affected. Income and waiting times often show this pattern.

04 / BIMODAL

Two peaks, two groups?

Two clusters can create two peaks. That may suggest a mixture of groups or processes, but the shape alone does not prove why. Bin choices can reveal or obscure those peaks.

Try this: Load the skewed sample and add 200. Compare the mean and median. Then change the bin count—your data stays the same, but its visual story changes.