In Excel: list your bins in a column, then count each one with =COUNTIFS($A$2:$A$200,">="&C2,$A$2:$A$200,"<"&D2) — or use =FREQUENCY(data, bins) for a single spilled array.
6 entries
| Value | Count | Share |
|---|---|---|
| Berlin | 3 | 50.0% |
| Munich | 2 | 33.3% |
| Hamburg | 1 | 16.7% |
What this does
A frequency table counts how many values fall into each category or numeric bin. For text categories, =COUNTIF(range, criterion) per distinct value is enough. For numbers you either write COUNTIFS with an explicit lower and upper bound per bin — which is readable and easy to audit — or use FREQUENCY, which takes the whole data range and a bins array and spills one count per bin plus one extra for everything above the last bin. Keep the inputs visible and clearly labelled and the whole thing stays auditable — anyone who opens the file later, including you, can see at a glance exactly what feeds the result and change one assumption without hunting through the formula. The difference between a quick fix and a sheet you can trust is the extra minute you spend validating “frequency distribution graph excel”. Start on a copy or a tiny sample, keep the affected chart visible, and compare the result with the tool above before you touch the real workbook. When a formula is involved, keep the inputs labelled beside it, reference cells instead of typing values, and apply number formatting only after the result checks out. The point is a visual that makes the number obvious at a glance, but the practical win is that someone else can open the file and understand what happened without asking you.
A worked example
A2:A200 holds 199 order values. Bins in C2:C6 read 0, 50, 100, 200, 500 as upper bounds. =FREQUENCY(A2:A200, C2:C6) entered in D2 spills six numbers: the counts at or below each bound, plus a final count of everything above 500. Written as COUNTIFS instead, the 50–100 bin is =COUNTIFS($A$2:$A$200,">=50",$A$2:$A$200,"<100") — 47 orders. A frequency table is the first honest look at a column of numbers: it shows where the mass sits, whether the distribution is skewed, and whether an average is worth quoting at all. A practical tip before you scale it up: build it once on a small block of test data, confirm the number against the tool on this page, and only then point it at your real sheet. That one habit catches almost every mistake while it is still cheap to fix, long before a wrong figure reaches a report or a colleague.
In Google Sheets
Everything above works in Google Sheets too. Excel and Sheets share the formula syntax used here; only the surrounding menus are arranged differently. That portability is deliberate — learn it once and it follows you between the two tools and across Windows and Mac. The aim was to get you unstuck fast and leave you a little more capable than a copy-paste would. The answer is at the top, the tool proves it, and the detail above shows why it holds — so the next time a colleague asks, you can answer without reaching for search. If you take one thing from this page on “frequency distribution graph excel”, make it the habit rather than the keystrokes: set the problem up with labelled inputs, reference those cells, and let Excel do the recomputing. Bookmark the page for the syntax, but do the example once in a blank sheet and check it against the tool above — five minutes of hands-on practice fixes the method in memory far better than re-reading, and it surfaces the small snags while they are still harmless. After that the technique is genuinely yours: faster than searching for it again, and reliable enough to drop into work that other people depend on.
Common mistakes
- Overlapping bins (0–50 and 50–100 both using >= and <=), which counts boundary values twice.
- Forgetting
FREQUENCYreturns one more value than the number of bins — the overflow count for everything above the last bound. - Leaving the data range relative, so filling the formula down shifts it off the data; anchor it with $.
- Building bins after looking at the answer you want, which is how a distribution gets shaped to fit a conclusion.
Frequently asked questions
What is the difference between FREQUENCY and COUNTIFS?
FREQUENCY does the whole table in one formula and returns an array; COUNTIFS does one bin per formula but is easier to read, audit and adjust. Both give identical counts when the bins line up.
Why does FREQUENCY return an extra number?
The last value is the count of everything greater than the highest bin — the overflow bucket. Always give it a row so the total reconciles.
How do I turn a frequency table into a chart?
Select the bin labels and the counts and insert a clustered column chart, or use Insert ▸ Statistic Chart ▸ Histogram to let Excel bin the raw data itself.
Can a PivotTable do this?
Yes — put the value field in Rows, right-click ▸ Group to set the bin width, and drop the same field into Values as Count. That is often the fastest route for one-off analysis.