Column Chart Maker
Paste categories and one or more numerical series to create a column chart instantly. Edit the table, choose clear labels, and download the result as PNG or SVG.
Create your column chart
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1. Enter data
Or drop one file here. Up to 2 MB; nothing is uploaded to a server.
Use categories in the first column and one or more numerical series in the remaining columns.
| # | Category | 2025 | 2026 | Actions |
|---|---|---|---|---|
| 1 | ||||
| 2 | ||||
| 3 | ||||
| 4 |
Opens the selected tool with your current chart data and shared settings. Unapplied pasted text is not transferred.
Preview
4 categories · 2 series · 8 values
Orders the chart, data table and image exports. Input rows stay in their original order.
Applies to PNG and SVG downloads. Dark labels work best on light backgrounds. The preview checkerboard is not exported.
Applies to PNG and SVG downloads. The preview matches the image proportions; wider images retain side padding to avoid distortion. SVG stays sharp when resized; some editors may substitute fonts.
Accessible chart data
| Category | 2025 | 2026 |
|---|---|---|
| January | 120 | 150 |
| February | 160 | 175 |
| March | 140 | 190 |
| April | 190 | 210 |
How to make a column chart
- Paste or enter data. Put category names in the first column and numerical values in each remaining series column.
- Review the table. Rename series, add or remove rows, and correct any values flagged by validation.
- Make the comparison clear. Add a descriptive title and axis labels, then choose whether to show the legend, grid, and data labels.
- Download the chart. Check the visual and accessible data table, then export a PNG or SVG.
What is a column chart?
A column chart compares values across discrete categories using vertical bars. The height of each column represents its value on a shared numerical scale, making differences between months, products, regions, survey choices, or other named groups easy to scan.
When to use a column chart
Use a column chart when categories are distinct and the main task is comparing their magnitude. It works especially well for a modest number of categories with short labels. If the horizontal axis represents a continuous numerical distribution rather than named categories, a histogram is the more accurate choice.
Comparing categories clearly
Column charts share a baseline, so viewers can compare bar heights more reliably than areas or angles. Keep category labels concise, use units in the Y-axis label, and choose a title that states what the values measure. The zero baseline remains visible, including when your data contains negative values.
Avoid packing too many categories into one chart. A dense display makes labels and small differences difficult to read. Consider filtering to the categories needed for the decision, or use a table when every exact value is equally important.
Column chart vs bar chart
The two charts encode values in the same basic way, but orientation affects readability. Vertical columns are familiar for time periods and compact category names. Horizontal bars leave more room for long names and can accommodate larger ranked lists. Choose the orientation that makes labels and comparisons easiest to follow rather than treating them as different analytical methods.
Using multiple data series
Compare periods
Place two years or quarters side by side for every month, product, or region.
Compare groups
Show the same measure for teams, customer segments, or experimental conditions.
Keep scales consistent
Group only series that use compatible units and a meaningful shared baseline.
Grouped columns are clearest with a small number of series. If the legend becomes hard to track or the bars become crowded, split the comparison into focused charts or provide the values in a table alongside the graphic.
Choosing a series display
Grouped columns compare individual series side by side. Stacked columns add values within each category: use them for parts of a meaningful total, such as sales channels within a month, not unrelated measures. Positive and negative contributions stack on opposite sides of zero; the table reports both signed totals and their net sum.
100% stacked columns divide each non-negative value by its category total. For example, values of 15 and 45 occupy 25% and 75% of that column. Each category is normalized separately, so columns with different raw totals have equal height. Original values and totals remain in the table. Missing values must be corrected or explicitly entered as zero; an all-zero category has no percentage share and no filled column.
Column chart maker FAQ
Can I create a column chart with multiple series?
Yes. Put each series in its own spreadsheet or CSV column. Choose Grouped for side-by-side comparisons, Stacked for compatible additive values, or 100% stacked for each series' share of its category. All modes include a legend and accessible data table.
What is the difference between a column chart and a bar chart?
A column chart uses vertical bars, while a bar chart usually uses horizontal bars. Column charts work well for a moderate number of short category labels; horizontal bars often suit long labels or many categories.
Can a column chart show negative values?
Grouped and Stacked support negative values. Positives extend above zero and negatives below it, with separate stacks on each side. The 100% stacked mode requires non-negative values.
Does ChartMaker store my chart data?
No. Your data stays in the browser while the table, chart, and image exports are created.