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Frequency Distribution

Create a frequency distribution table and interactive histogram from your numbers. Adjust bin count, bin width, and precision. Download the histogram as PNG or SVG.

Frequency Table

Class IntervalFrequency (f)Cumulative FreqRelative Freq
Total01.00

Histogram

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How to use Frequency Distribution

  1. Paste numbers separated by commas, spaces, or newlines.
  2. Adjust the number of bins or set a custom bin width.
  3. View the frequency table with class intervals, frequency, cumulative frequency, and relative frequency.
  4. Inspect the histogram with mean and median markers.
  5. Download the histogram as PNG or SVG.

Frequency Distribution అంటే ఏమిటి?

This tool bins your numeric data into class intervals and computes frequency, cumulative frequency, and relative frequency for each bin. The live histogram highlights the mean (red dashed line) and median (green dashed line) so you can see the distribution shape at a glance.

You can adjust the number of bins, set a custom bin width, and control decimal precision. Download the histogram as PNG or SVG for reports and presentations. All computation happens client-side in your browser.

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FAQ

How is bin width calculated automatically?
When left on Auto, bin width is calculated as (max - min) / number_of_bins. The first bin starts slightly below the minimum value for clean edges.
What does cumulative frequency mean?
Cumulative frequency is the running total of frequencies up to and including that bin. The last bin's cumulative frequency equals the total number of data points (N).
Can I use this for exam score distributions?
Absolutely. This is a classic use case — paste your scores, set 10 bins for letter-grade-style breakdowns, and see the distribution with mean and median marked.
Is my data kept private?
Yes. All computation and histogram rendering happens in your browser. Your data is never uploaded anywhere.

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Author

SC
Sarah Chen"The Data Whisperer"

Data Analyst & CSV Specialist

Sarah has spent more than a decade wrangling spreadsheets, debugging CSV exports, and teaching teams how to make data work for them. She previously led data-quality initiatives at a fintech unicorn, where she reduced reporting errors by 40 percent through automated validation pipelines. When she is not optimizing queries or writing about data tooling, you will find her mentoring junior analysts at local bootcamps and speaking at data literacy meetups.

📖 Frequency Distribution on Wikipedia·Data Analysis on Wikipedia·Frequency Distribution on Britannica

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