Statistics Explorer (Mean / Median / Std Dev + Charts)
Paste a dataset or upload a CSV and instantly compute core descriptive statistics. This tool includes a histogram and a box plot, outlier detection using the IQR rule, plus exports for a CSV summary and a branded PNG report. Everything runs in your browser.
Data input
Paste numbers or upload a CSV and choose a column. Settings are saved in your browser. Clearing site data removes your history.
Parsed values
10
Statistics report snapshot
Statistics Explorer
Pasted dataset
Center
Mean: 5.5
Median: 5.5
Mode(s): —
Spread
Min: 1
Max: 10
Range: 9
Std dev: 2.872281
Quartiles & outliers
Q1: 3.25
Q3: 7.75
IQR: 4.5
Outliers: 0
Histogram and box plot are approximate visual summaries. For sensitive data, avoid storing it in your browser.
What this statistics explorer calculates
Descriptive statistics summarize a dataset in a way that is easier to interpret than a long list of raw values. This statistics explorer computes the most common summary measures used in school, research, and analytics: count, min/max, range, mean, median, mode, variance, standard deviation, quartiles, and interquartile range (IQR).
Mean, median, and mode
The mean is the arithmetic average. The median is the middle value when the data is sorted and is more robust to extreme values. The mode is the most frequent value, which can be useful for discrete datasets.
Variance, standard deviation, quartiles, and IQR
The variance and standard deviation describe spread around the mean. Quartiles split the sorted data into four parts: Q1 (25th percentile), median (50th), and Q3 (75th). The IQR is Q3 − Q1 and is a robust measure of spread that focuses on the middle half of the data.
Outlier detection (IQR rule)
A common rule of thumb flags values below Q1 − 1.5×IQR or above Q3 + 1.5×IQR as outliers. This is not a definitive judgement about correctness; it is a quick way to spot unusually extreme values that may deserve a second look.
Charts: histogram and box plot
The histogram shows the distribution across bins, which helps you see skew, clusters, and spread. The box plot summarizes quartiles and the median in a compact visual. Adjusting the number of bins changes the histogram’s level of detail.
This tool runs entirely in the browser and stores your last dataset and settings in localStorage for convenience. If you are working with sensitive data, consider clearing your browser storage afterward.