Frequency Distribution Calculator
Result
Total Count 10
Unique Values 4
Value: 1 Freq: 1 | 10.0% | Cumulative: 1 (10.0%)
Value: 2 Freq: 2 | 20.0% | Cumulative: 3 (30.0%)
Value: 3 Freq: 3 | 30.0% | Cumulative: 6 (60.0%)
Value: 4 Freq: 4 | 40.0% | Cumulative: 10 (100.0%)
Note All unique values shown
Count occurrences of each unique value in a dataset and create a frequency distribution. Enter comma-separated data values to get frequencies, relative frequencies (%), and cumulative frequencies.
Formula
Frequency = count of each unique value; Relative Frequency (%) = (count ÷ total) × 100; Cumulative Frequency = sum of all frequencies up to current value
- Frequency: how many times a value appears in the dataset
- Relative Frequency (%): frequency as a percentage of the total
- Cumulative Frequency: running sum of frequencies up to and including current value
- Sorted by numeric value if possible, otherwise alphabetically
- Maximum 20 unique values displayed
Test scores
Inputs
- Data (comma-separated): 75, 80, 75, 90, 80, 85, 75, 90
Scores: 75 appears 3 times (37.5%), 80 appears 2 times (25%), 85 appears 1 time (12.5%), 90 appears 2 times (25%). Total: 8 scores.
Frequently asked questions
What is frequency distribution?
A table showing each unique value and how many times it appears (frequency). Useful for understanding data patterns and variability.
What do relative frequencies show?
Relative frequency is frequency as a percentage of total data points, allowing easy comparison across datasets of different sizes.
What is cumulative frequency?
Running total of frequencies up to a given value. Useful for finding medians and percentiles.