Data Statistics
Paste numeric values and get instant summary statistics for your data set.
How to use the Data Statistics Calculator
Descriptive statistics summarize a dataset with a handful of numbers. Paste your numeric values and this tool instantly computes mean, median, mode, standard deviation, and more.
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Enter your values
Type or paste numbers into the textarea, separated by commas or newlines. For example:
10, 20, 30, 25, 40or one number per line. Non-numeric entries are filtered out automatically. - 2
Click Calculate
The tool parses and sorts your values, then computes all eight statistics at once: Count, Sum, Mean, Median, Mode, Standard Deviation, Min, and Max.
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Read the results panel
Review the results to understand your data's center (mean, median), spread (standard deviation), and range (min, max). Use these to identify outliers or compare datasets.
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Click Clear to reset
Remove the values and reset all statistics to start a fresh calculation with a new dataset.
Frequently asked questions
What is the mean?
The mean (arithmetic average) is the sum of all values divided by the count. It is the most common measure of central tendency but is sensitive to outliers — a single extreme value can shift the mean significantly away from the typical value.
What is the median?
The median is the middle value when the dataset is sorted in ascending order. For an even number of values, it is the average of the two middle values. The median is robust to outliers and is often a better measure of "typical" for skewed distributions like income or house prices.
What is the mode?
The mode is the value that appears most often. A dataset can have one mode (unimodal), more than one mode (multimodal), or no mode at all (when all values appear exactly once).
What is standard deviation?
Standard deviation measures how spread out values are around the mean. A low standard deviation means values cluster tightly near the mean; a high standard deviation means they are widely dispersed. It is expressed in the same units as the original data.
What is the difference between population and sample standard deviation?
This tool computes population standard deviation (divides by N). Sample standard deviation divides by N−1 and is used when your data is a sample from a larger population. For large datasets the difference is negligible, but for small samples it matters statistically.