Four ways to show shape and spread instead of a single average: histogram, box plot, violin plot and population pyramid. Pick the one that matches how much detail your data, and your reader, actually needs.
Ein schneller Überblick: Klicken Sie durch, um eine davon zu öffnen.
These distribution chart templates all answer a question a plain bar chart can't: not just what a dataset's average is, but how the individual values are spread around it, where they bunch up, and whether they form one cluster or several. A histogram, box plot, violin plot and population pyramid all start from the same raw material, a column of numbers, and turn it into a shape. What separates the four is how much of that shape they actually show you, and how much they compress into a few summary statistics you're trusting them to get right.
That trust matters. A tight cluster around 50 and a dataset split evenly between 10 and 90 share the same average, and only a shape-revealing chart tells you which one you're looking at. A histogram shows the shape, but bin width is a setting you choose: pick wrong and one smooth hump can look like three, or a real gap disappears. The box plot skips the shape for five numbers instead (minimum, quartiles, maximum), good for lining up ten groups, but it can't flag a group that's bimodal. A violin plot fixes that: same layout, with the shape drawn in, so two humps show up as two humps.
Population pyramid is the specialist in this family. It's a distribution in the technical sense, age against population count, but it's built for one specific job: comparing that shape between two groups, almost always men and women, back to back around a shared axis. It won't help you spot bimodality in a sales dataset, but it's the standard shape for demographic data and belongs in this category for that reason alone.
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Test scores, response times, transaction sizes for a single group. A histogram bins the values and draws the actual distribution, gaps, outliers, skew and all, instead of compressing it into a couple of numbers.
Delivery times across ten warehouses, salaries across eight departments. A box plot's five-number summary is compact enough to line up a dozen groups in one row, which a full histogram or violin plot per group can't do without turning into clutter.
Customer spend that might really be two segments, occasional buyers and subscribers, sitting inside one "average." A violin plot draws the full shape next to a box plot's summary, so a second hump shows up instead of getting averaged away.
Population by age and gender, or any count that naturally mirrors around a center line. Population pyramid is built specifically for this back-to-back comparison and reads instantly to anyone who's seen a census chart before.
Von der Tabelle zum veröffentlichten Diagramm, Schritt für Schritt.
One group and you want every detail: histogram. Many groups and you just need spread at a glance: box plot. Many groups and you're worried a box plot's summary hides something: violin plot. Age structure by gender: population pyramid.
Each template linked below opens with sample data already bound in, so you can see the exact column layout: one numeric column for a histogram, a category plus a value column for box and violin plots, before you touch your own data.
Import a CSV or Excel file, paste rows straight from a spreadsheet, or connect a Google Sheet so the chart updates automatically when the source data changes.
For a histogram, check a couple of different bin widths before settling on one, because the shape can change more than you'd expect. Then publish for an interactive embed or export a static PNG, SVG or PDF.
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Editor öffnenUse a box plot when you're comparing many groups and just need the spread at a glance: it's compact and easy to scan. Switch to a violin plot when you suspect a group's distribution is bimodal or oddly shaped, since a box plot's five-number summary can make two separate clusters look like one smooth range. If you only have two or three groups, a violin plot is almost always worth the extra visual complexity.
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