Make a histogram from a frequency table by pasting class intervals or value-frequency rows. The chart is created locally in your browser.
Use value-frequency rows or class interval-frequency rows.
Frequency Histogram
| Class interval | Frequency | Relative frequency | Cumulative frequency |
|---|---|---|---|
| 0 - 9 | 4 | 8% | 4 |
| 10 - 19 | 7 | 14% | 11 |
| 20 - 29 | 11 | 22% | 22 |
| 30 - 39 | 16 | 32% | 38 |
| 40 - 49 | 9 | 18% | 47 |
| 50 - 59 | 3 | 6% | 50 |
Your raw data stays in the browser.
Adjust bin count, bin width, and range.
Review frequency, relative frequency, and cumulative frequency.
Download PNG, SVG, or CSV for reports and slides.
Use the tool above first, then review these short guides to understand bins, CSV data, frequency tables, exports, and outliers.
Use this frequency histogram maker when you already have a frequency table and want a chart without recreating the original raw dataset. Paste class intervals with frequencies, or paste values with frequency counts, and the tool draws the histogram from the table. It also works as a frequency histogram generator for homework, classroom examples, lab summaries, and quick reports where the counts have already been grouped.
A histogram from a frequency table uses the table rows as the bins. The class interval or value goes on the x-axis, and the frequency count becomes the bar height on the y-axis. This page is for the common histogram from frequency table task: you already know how many observations fall in each class, so the chart should use those counts directly. If you need a histogram with frequency table values side by side, the preview and the table below it stay connected as you edit the input.
The frequency table to histogram workflow is different from a raw-data histogram. The tool does not need to expand every repeated observation; it reads the frequency column directly, keeps the total frequency, and calculates relative and cumulative frequency for the table below the chart. This is useful when a textbook, worksheet, survey export, or spreadsheet already gives a frequency table for histogram construction. Instead of typing every repeated score or measurement, keep the compact table and let the tool convert those frequency rows into bars.
To construct a frequency histogram, list each class interval, count how many observations fall in that interval, then draw adjacent bars whose heights match those counts. If you are asking how to make a histogram from a frequency table, paste the interval and frequency rows into the tool and check the preview. If your assignment says how to construct a frequency histogram or how to draw frequency histogram bars by hand, use the generated chart as a visual check: the x-axis should show the classes in order, the y-axis should show frequency, and the tallest bar should match the largest count.
A frequency distribution and histogram describe the same grouped data in two forms. The frequency distribution is the table of classes and counts; the histogram is the visual version of that table. This makes the page useful as a histogram for frequency distribution work, especially when you need to explain the center, spread, skew, or peaks in grouped data. The histogram and frequency table should tell the same story: every bar height should match a frequency count, and the sum of the frequencies should equal the total number of observations represented by the table.
Use two columns when your data has one value per row and a count beside it, such as value, frequency. Use class intervals when your data is already grouped, such as 10-19, 7. If you have lower bound, upper bound, and frequency in separate columns, the parser can read those rows too. A frequency table for histogram work should use non-overlapping classes, consistent interval widths when possible, and numeric frequencies. The output table acts as a histogram frequency table because it shows each bin range, frequency, relative frequency, and cumulative frequency after parsing.
Search phrases around this topic are not always written in the same grammar. Histogram frequency usually means the count shown by each bar. Histogram frequency table often means the table behind the chart. Histogram maker from frequency table describes this exact tool: it starts from grouped counts rather than raw values. When someone searches frequency table to histogram, frequency histogram maker, or frequency histogram generator, the practical goal is usually the same: paste a compact table of counts and get a clear frequency histogram that can be used in classwork or reports.
Do not use cumulative frequency as the standard frequency column unless you want a cumulative chart. Keep class intervals ordered, avoid overlapping ranges, and label the y-axis as frequency so the chart is not confused with a relative frequency histogram or a regular bar chart. If two class intervals overlap, the same observation could be counted twice. If a gap appears between classes, the histogram may imply missing values that are not actually in the frequency distribution. Review the generated table before downloading so the frequencies and cumulative totals make sense.
If you are searching for how to make a frequency histogram, start by creating rows with a class interval or value and a frequency count, then draw adjacent bars where each bar height equals the frequency. In this tool, paste the table, check that the total frequency matches your source, and download the chart when the class intervals and labels look right.
Paste the frequency table into the tool with two columns such as class interval and frequency. The page reads the frequency table to histogram format and draws the bars from those counts. This avoids expanding the data into repeated raw values, which is faster and less error-prone when the frequencies are already known.
Yes. This page is designed for frequency table input, so you can use value-frequency rows or class interval-frequency rows without entering every original observation. It is especially useful for grouped frequency distributions, classroom examples, survey summaries, and data tables copied from Excel or Google Sheets.
Use rows like 0-9, 4 for class intervals or rows like 2, 290 for a value and frequency. You can also use three columns for lower bound, upper bound, and frequency. CSV, TXT, pasted spreadsheet data, and XLSX uploads are read locally in your browser.
Put the class intervals on the x-axis, put frequency on the y-axis, and draw one adjacent bar for each class interval. The height of each bar is the frequency from the table. Use the preview here to check spacing, labels, and the tallest bar before copying the idea into a notebook or report.
If you still have raw data, first group values into classes and count how many observations fall in each class. That creates the frequency table. Then use the table rows to draw the histogram. This page focuses on the second step, so it is best when the frequency table already exists and you need a histogram quickly.
A frequency table lists the counts in rows, while a histogram turns those rows into adjacent bars. The table is better for exact numbers, and the histogram is better for seeing shape. Using both together makes it easier to check counts and explain the distribution.
No. The frequency table is processed locally in your browser and is not uploaded to a server. Pasted values, CSV or TXT files, and XLSX spreadsheets are read by the page in your browser so the chart can update without sending your data away.