Why this shape: One measure across a handful of periods. Bars sit on a zero baseline so the eye compares heights honestly.
Show the data
| Label | Net revenue |
|---|---|
| Jan | 48,200 |
| Feb | 51,600 |
| Mar | 49,300 |
| Apr | 58,800 |
| May | 63,400 |
| Jun | 61,900 |
Twelve chart examples with real data behind them, each one labelled with the question it answers and why that chart type fits. Open any example in the editor to change the numbers and take the result with you.
Twelve charts, each with the data that produced it and the reason that shape was chosen. Hover any chart to read exact values; open one in the editor to change the numbers.
Why this shape: One measure across a handful of periods. Bars sit on a zero baseline so the eye compares heights honestly.
| Label | Net revenue |
|---|---|
| Jan | 48,200 |
| Feb | 51,600 |
| Mar | 49,300 |
| Apr | 58,800 |
| May | 63,400 |
| Jun | 61,900 |
Why this shape: Two series on the same scale and the same unit — grouped bars with a 2px gap, never two y-axes.
| Label | Plan | Actual |
|---|---|---|
| Q1 | 150,000 | 149,100 |
| Q2 | 165,000 | 171,400 |
| Q3 | 180,000 | 168,900 |
| Q4 | 195,000 | 203,200 |
Why this shape: Parts of one whole, five slices, and the shares differ enough to read. Every slice carries its own percentage label.
| Label | Revenue |
|---|---|
| North America | 412,000 |
| Europe | 268,000 |
| Greater China | 197,000 |
| Southeast Asia | 96,000 |
| Other | 41,000 |
Why this shape: Change over many closely spaced points. Lines show the shape of the trend; bars would turn it into a picket fence.
| Label | Organic | Paid |
|---|---|---|
| W1 | 1,820 | 1,240 |
| W2 | 1,910 | 1,190 |
| W3 | 2,040 | 1,310 |
| W4 | 1,980 | 1,420 |
| W5 | 2,210 | 1,380 |
| W6 | 2,380 | 1,290 |
| W7 | 2,450 | 1,340 |
| W8 | 2,610 | 1,410 |
| W9 | 2,570 | 1,520 |
| W10 | 2,840 | 1,470 |
| W11 | 3,010 | 1,390 |
| W12 | 3,180 | 1,350 |
Why this shape: Long category names. Horizontal bars give the labels room instead of tilting them 45°.
| Label | Units |
|---|---|
| Atlas Pro Bundle | 4,820 |
| Beacon Analytics Seat | 4,310 |
| Cedar Starter Kit | 3,760 |
| Delta Field Sensor | 2,940 |
| Everest Support Plan | 2,180 |
| Fjord Data Pack | 1,640 |
| Granite Console | 1,120 |
Why this shape: Same job as a pie, but the hole holds the total — useful when the absolute number matters as much as the split.
| Label | Budget |
|---|---|
| Content | 180,000 |
| Paid search | 240,000 |
| Events | 120,000 |
| Tooling | 65,000 |
| Partnerships | 45,000 |
Why this shape: A running total that only goes up. The fill reads as accumulated volume; the line still carries the exact value.
| Label | Accounts |
|---|---|
| Jan | 820 |
| Feb | 1,640 |
| Mar | 2,610 |
| Apr | 3,720 |
| May | 5,010 |
| Jun | 6,480 |
| Jul | 8,120 |
| Aug | 9,940 |
Why this shape: Values cross zero. Bars from the zero line make the negative months obvious — a line chart would hide the sign change.
| Label | MoM |
|---|---|
| Feb | 7.1 |
| Mar | -4.5 |
| Apr | 19.3 |
| May | 7.8 |
| Jun | -2.4 |
| Jul | 11.2 |
Why this shape: Three cohorts measured on the same percentage scale. One axis, three lines, a legend plus direct labels at the ends.
| Label | 2026-01 | 2026-02 | 2026-03 |
|---|---|---|---|
| M0 | 100 | 100 | 100 |
| M1 | 68 | 72 | 75 |
| M2 | 54 | 59 | 63 |
| M3 | 47 | 52 | 57 |
| M4 | 43 | 48 | 53 |
| M5 | 41 | 45 | 51 |
Why this shape: Ranked categories, one measure, sorted descending. Sorting is what makes a category bar chart readable.
| Label | Tickets |
|---|---|
| Billing | 1,420 |
| Onboarding | 1,180 |
| Integrations | 940 |
| Exports | 610 |
| Performance | 430 |
| Other | 260 |
Why this shape: Two series and long team names. Horizontal grouped bars keep both the labels and the comparison legible.
| Label | Plan | Filled |
|---|---|---|
| Engineering | 42 | 37 |
| Customer Success | 18 | 16 |
| Sales | 26 | 21 |
| Marketing | 12 | 11 |
| Finance & Ops | 9 | 9 |
Why this shape: Ordered stages of one quantity — a single-hue ordinal ramp, not six unrelated categorical colours.
| Label | Users |
|---|---|
| Visited | 48,200 |
| Started signup | 12,400 |
| Verified email | 9,800 |
| Created a project | 6,100 |
| Ran an analysis | 3,450 |
| Upgraded | 720 |
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