Create a frequency distribution table from your data. Calculate frequency, relative frequency, percentage, cumulative frequency, and key data statistics instantly.
Enter your data values to generate a complete frequency distribution table.
| Value | Frequency | Relative Frequency | Percentage | Cumulative Frequency |
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A frequency distribution is a way of organizing data by showing how often each value occurs. Instead of reviewing every individual observation, a frequency table summarizes repeated values in a clear and structured format.
Frequency distributions are commonly used in statistics, research, education, business analysis, and data science. They make it easier to identify common values, patterns, and the overall structure of a data set.
The calculator examines every value in your data set, groups identical values together, and counts how many times each value appears.
Consider the following data:
The value 2 occurs twice, 3 occurs three times, 4 occurs once, and 5 occurs twice.
The total frequency is 8, which equals the total number of observations in the original data set.
A simple frequency distribution lists individual values along with the number of times each value occurs.
A relative frequency distribution expresses each frequency as a proportion of the total number of observations.
Percentage frequency converts relative frequencies into percentages, making comparisons easier.
Cumulative frequency shows the running total of observations up to each value in the distribution.
A frequency distribution can simplify large data sets and make important patterns easier to recognize.
Frequency counts make it easy to see which observations occur most often.
Instead of examining every individual observation, a frequency table provides a compact statistical summary.
Frequency distributions can be used as the basis for histograms, bar charts, and other statistical visualizations.