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Histogram maker
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See the shape of a numeric distribution
Understanding histogram
Paste a column of raw numeric observations and let Vizvero group them into bins. Adjust the bin count, inspect the distribution, style the chart, and export it.
A histogram shows the distribution of a numeric variable by grouping observations into continuous ranges called bins. The height of each adjacent bar is the number of observations that fall inside that interval.
Unlike a category bar chart, the horizontal position and adjacency of histogram bins are meaningful. The chart helps reveal concentration, skew, multiple peaks, gaps, and the overall spread of a dataset.
Use this chart when
- You have many raw observations from one numeric variable.
- You want to understand distribution shape, concentration, and spread.
- Grouping values into continuous ranges is more useful than listing each observation.
Choose another chart when
- You are comparing named categories; use a bar chart.
- You need a compact summary of quartiles and outliers; use a box plot.
- You have two numeric variables and want their relationship; use a scatter plot.
Prepare your data
- 01Paste one numeric column; each valid cell is treated as one observation.
- 02Use the bin control to explore whether important structure is hidden or exaggerated by a particular bin width.
- 03Histogram bars are contiguous because the bins represent neighboring numeric intervals, not separate categories.
Four-step workflow
How to make a histogram in Vizvero
- STEP 1
Paste raw numeric values
Use a single spreadsheet column or import a CSV containing the observations.
- STEP 2
Choose the number of bins
Adjust the bin count until the distribution is informative without becoming noisy.
- STEP 3
Style the distribution
Set labels, grid lines, theme, background, typography, and corner radius.
- STEP 4
Export the result
Download a crisp PNG or SVG, or add deterministic animation and export MP4.
Make the chart easier to read
- Try more than one bin count before drawing conclusions from the shape.
- Do not compare the height of histogram bars as if each were a named category; they represent frequency within ranges.
- Use a clear title that names the measured variable and, when useful, its unit.
- For small datasets, a box plot or dot-style display may communicate the observations more honestly than many empty bins.
From data to finished asset
Designed themes
Change typography, spacing, geometry, axes, background, and palette without rebuilding the chart.
Static and animated export
Export the same chart scene as PNG, true vector SVG, or frame-rendered MP4.
Browser-first workflow
Editing and chart rendering happen in the browser, so you can work without creating an account.
Frequently asked questions
What is the difference between a histogram and a bar chart?
A histogram groups continuous numeric values into adjacent intervals. A bar chart compares separate named categories, so its bars do not represent a continuous numeric scale.
How many bins should I use?
There is no single correct number. Use the bin control to test several levels of detail and choose one that reveals structure without turning random variation into a story.
Can I paste raw data instead of pre-counted bins?
Yes. Vizvero expects raw numeric observations and calculates the bins and frequencies for you.
Can I animate histogram bins?
Yes. Histogram bins support grow and stagger motion and can be exported as MP4.
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