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Charts & Data Diagnostics
Numbers alone can hide patterns that a chart makes obvious: skew, multiple peaks, or a single extreme value pulling a summary statistic away from where your data actually sits. Every chart here comes with an accessible data table and a text summary alongside it, so the underlying information is never locked inside a visual-only rendering.
These tools label what they observe (a bin rule, an extreme-value flag, a fitted rule parameter) as evidence to review, never as automatic proof of an error or a population fact. A flagged pattern is a prompt to look closer, not a decision made for you.
Engines in this category
- Histogram Maker
View the shape of a numeric distribution with a documented bin rule.
- Box Plot Maker
Compare distributions and flag potential outliers using quartile fences.
- Skewness and Kurtosis Calculator
Describe a distribution's asymmetry and tail shape numerically.
- Outlier Calculator
Flag candidate outliers with an IQR fence or a robust modified z-score.
- Grubbs Test
Formally test whether the single most extreme value is a statistical outlier.