Frequency Table Generator Calculator

Enter Data

Raw observations

Examples: 4, 5, 5, 6 or apple, orange, apple.

Data type

Separator

Decimal places

Grouping method

Number of classes

Class width

Starting value

Example Data Table

Observation	Sample Value	Observation	Sample Value
1	12	9	24
2	15	10	24
3	15	11	24
4	18	12	24
5	18	13	27
6	18	14	30
7	21	15	30
8	21

Formula Used

Absolute frequency: f = number of times a value or class appears.

Relative frequency: rf = f / n, where n is the total number of observations.

Percentage frequency: percent = (f / n) × 100.

Cumulative frequency: CF = running sum of all previous frequencies including the current row.

Grouped class width: class width = range / number of classes, unless you provide a manual width.

Sturges rule: k = 1 + 3.322 × log₁₀(n), which estimates a practical class count for grouped tables.

How to Use This Calculator

Paste or type raw observations into the data box.
Select whether your values are numeric or categorical.
Choose the separator that matches your pasted dataset.
Pick a grouping method for numeric class intervals.
Set class count, width, or start value when needed.
Click Generate Frequency Table to calculate results.
Review the summary cards and the generated tables.
Use the CSV or PDF buttons to export outputs.

FAQs

1. What does a frequency table show?

A frequency table organizes raw observations into rows that show how often each value or class interval appears. It also helps summarize percentages and cumulative totals for easier interpretation.

2. Can I use text categories instead of numbers?

Yes. Choose the categorical option and enter labels such as product names, grades, or survey responses. The calculator will count each category and compute relative and cumulative frequencies.

3. When should I use grouped frequency tables?

Grouped tables are useful when numeric datasets are large or spread across wide ranges. They reduce clutter by combining nearby values into intervals that reveal the distribution more clearly.

4. What is relative frequency?

Relative frequency is the share of observations in a row compared with the total dataset. It is calculated by dividing row frequency by the total number of values.

5. What does cumulative frequency mean?

Cumulative frequency is the running total of frequencies from the first row through the current row. It helps identify how many observations fall at or below a value or interval.

6. How is the number of classes selected automatically?

The calculator can estimate class counts using Sturges rule or the square root rule. These methods provide practical starting points for grouped distributions without manual trial and error.

7. Can I export my generated table?

Yes. After calculation, use the CSV button for spreadsheet analysis or the PDF button for reports, print packages, and presentation-ready statistical summaries.

8. Why are some values ignored during calculation?

For numeric analysis, nonnumeric entries are skipped automatically to protect the table from invalid data. Check separators, extra spaces, and pasted text if your totals seem smaller than expected.