How to Create Charts and Graphs from Data Online
Create professional charts and graphs from your data with our free Chart Maker. Supports bar, line, pie, scatter, and more. Export as PNG or SVG.
Steps
Enter or paste your data
Type your data into the table editor or paste it from a spreadsheet. The tool accepts CSV-formatted data or tab-separated values from Excel or Google Sheets. Each column becomes a data series; the first column is used for labels.
Choose the chart type
Select the chart type that best represents your data: Bar (comparing categories), Line (showing trends over time), Pie/Doughnut (showing proportional composition), Scatter (showing correlations between two variables), Area (showing cumulative totals over time), or Histogram (showing frequency distribution).
Customise appearance
Set the chart title, axis labels, colour scheme, and legend position. Choose from a preset colour palette or define custom colours for each data series. Adjust font sizes for readability in your target context (presentation vs report vs web).
Review and refine
Check that the chart communicates your intended message clearly: Is the scale appropriate (does it start at zero for bar charts)? Are data labels included where needed? Is the legend clear? Is the chart readable at the size it will be displayed?
Export and use
Download as PNG (for documents, presentations, and web) or SVG (for print-quality output at any size). The chart can also be embedded in web pages using the generated embed code.
Data Visualisation Principles for Clear Communication
Effective data visualisation communicates a specific insight quickly and accurately. The data-ink ratio principle, articulated by Edward Tufte, suggests that every element of a chart should contribute to conveying information — remove gridlines that are not needed for reading values, remove chart borders that serve no purpose, remove legend entries when the series can be labelled directly. Colour should be used purposefully: to distinguish categories (not decoratively), to highlight a specific data point, or to show intensity (in heatmaps). Avoid rainbow colour schemes for sequential data — use a single-hue gradient from light to dark. Label directly when possible: a label on the data point is easier to read than a legend requiring eye movement back and forth.
Choosing Between Charts, Tables, and Text
Not every data communication requires a chart. Tables are better than charts when readers need to look up specific values, compare individual data points precisely, or reference exact numbers. A table showing quarterly revenue by region to five decimal places communicates differently than a chart. Charts are better than tables for showing trends, patterns, outliers, and comparative magnitudes at a glance — they trade precision for pattern recognition. Plain text is better for single comparisons: 'Revenue grew 23% year-over-year' does not need a chart. Use charts when you are communicating a pattern, trend, composition, relationship, or distribution that would take many words to describe; use tables when precision and reference ability matter more than pattern recognition.
Frequently Asked Questions
Match the chart type to what you are communicating. Bar charts: comparing discrete categories (sales by region, performance by team). Line charts: trends over continuous time (monthly revenue, stock price history). Pie charts: showing parts of a whole — use only when you have 2–5 slices; more slices are hard to read. Scatter plots: showing correlation between two numeric variables (advertising spend vs revenue). Histogram: showing distribution of values within a range. Heatmaps: showing patterns in two-dimensional data. Avoid pie charts for more than 5 categories and avoid 3D charts generally — they distort perception of values.
Yes, for bar and column charts specifically. Because bar length encodes the data value, a bar chart that does not start at zero visually exaggerates differences. A chart showing values from 95 to 100 with a y-axis from 94 to 101 makes a 1% difference look enormous. For line charts, starting at zero is not always necessary — the slope of the line communicates change, not the bar length. For scatter plots, use the data range with appropriate padding.