Frequency Distribution Calculator

Organise raw data into manageable groups (bins) to see how your dataset is distributed. Paste your numbers below to instantly generate a frequency table and a visual histogram.

How to use this calculator

1. Enter your data: Paste your raw numbers into the data box. Commas, spaces, and line breaks are all acceptable.
2. Choose your classes (optional): A “class” or “bin” is simply a grouping (e.g., values between 10–20). If you leave this blank, the calculator automatically determines the ideal number of classes based on the size of your dataset using Sturges’ Formula.
3. Generate: Click the button to instantly view your table and graph.

Understanding Your Results

Looking at raw numbers makes it difficult to see patterns. A frequency distribution solves this by grouping your data into consecutive intervals.

• Class Interval: The range of values for that specific bin. A square bracket [ means the number is included in that bin, while a parenthesis ) means it is excluded. For example, [10 - 20) includes 10, but not 20.
• Frequency (f): The raw count of how many data points fall inside that specific class interval.
• Relative Frequency: The percentage of the total dataset that falls into that interval. This is useful for comparing datasets of different sizes.
• Cumulative Frequency: A running total of the frequencies. It tells you how many data points are less than or equal to the upper limit of that class.
• Histogram: The visual representation of your frequency table. It allows you to instantly see the “shape” of your data — whether it looks like a standard bell curve, is skewed to one side, or has multiple peaks.