Chart Creator
Paste comma-separated numbers or JSON arrays and render a bar or line chart instantly.
Enter numeric data and hit Render to see the chart.
How to use the Chart Creator
Turn raw numbers into a bar or line chart in seconds. Paste your data, choose a chart type, add optional labels, and click Render — the chart appears as a scalable SVG graphic.
- 1
Enter your data
Type or paste numbers separated by commas or newlines (e.g.
10, 20, 30, 25, 40). You can also paste a JSON array like[10, 20, 30]. Non-numeric values are filtered out automatically. - 2
Choose a chart type
Select "Bar chart" for comparing discrete categories side by side, or "Line chart" for showing change or trends over a sequence of values.
- 3
Add optional labels
Enter comma-separated labels in the Labels field to name each data point (e.g.
Jan, Feb, Mar). If left blank, the tool uses sequential numbers (#1, #2...) as x-axis labels. - 4
Click Render
The chart renders in the panel below as an SVG with axis labels and value annotations on each bar or data point.
Frequently asked questions
What data formats are supported?
You can enter comma-separated numbers (10, 20, 30), newline-separated numbers (one per line), or a JSON array ([10, 20, 30]). Non-numeric values are filtered out automatically so partial data does not break the chart.
When should I use a bar chart vs a line chart?
Use bar charts to compare independent categories (e.g. sales by product, score by team). Use line charts to show change over a continuous or sequential dimension (e.g. monthly revenue, temperature over time) — the connecting line implies an ordered relationship between points.
Can I export the chart as an image?
The chart renders as an SVG element inside the page. To save it, right-click the chart panel and select "Save image as," or use your browser's screenshot tool. SVG content can also be copied and embedded in HTML documents or design tools.
How many data points can I visualize?
The chart works best with 3–50 data points. With more points, x-axis labels may overlap and become unreadable. For large datasets, aggregate or sample your data before charting — for example, show weekly averages instead of daily values.
Can I add a chart title, legend, or multiple series?
Not currently — the tool renders a minimal single-series chart. For full customization including titles, legends, colors, tooltips, and multiple data series, use a library like Chart.js, Recharts, or D3.js in your own project.