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Plot data trends as a line graph and export as PNG. Best for time-series and sequential data.
Line graphs are the right choice when the x-axis represents an ordered sequence and the relationship between adjacent points carries meaning. Stock prices, monthly revenue, daily website traffic, and temperature readings over a year are all natural fits. The continuous line between points implies that values flow from one to the next rather than existing as isolated measurements.
Trends and seasonality are easiest to spot on a line graph. A repeating wave pattern across months reveals seasonal demand. A kink in an otherwise straight trend line marks an inflection point worth investigating. Gradual upward or downward slopes communicate growth or decline at a glance without requiring the viewer to compare bar heights.
If your x-axis categories are not inherently ordered, for example product names or countries, a line graph is the wrong choice. Connecting unordered categories with a line implies a continuity that does not exist in the data, which misleads readers.
Enter your x-axis labels in the left column. These are typically dates, months, quarters, or other sequential labels. Enter the corresponding numeric values in the right column. The chart renders immediately as you type, so you can watch the shape of the trend emerge while building your dataset.
When the chart looks right, click "Download PNG" to save the image. The export is at 2x resolution, keeping edges sharp in slides and reports. No data leaves your browser during editing or export.
The core difference comes down to what you want to emphasise. A line graph emphasises continuity, movement, and direction. The eye follows the line and reads the slope as acceleration or deceleration. A bar chart emphasises the individual magnitude of each category and invites comparison between separate bars.
Use a line graph for time series data where the trend matters most: monthly active users, quarterly revenue, weekly conversions. Use a bar chart when you are comparing distinct categories that have no inherent order: sales by product, support tickets by team, or signups by country.
The two chart types can also coexist in a combo chart, where bars show volume and a line overlaid on top shows a rate or a moving average. That combination is common in financial dashboards but goes beyond what a simple maker tool handles.
Can I plot multiple data series?
Single-series plotting is supported today. Multi-series support with a legend is on the roadmap. For now, create a separate chart for each series and place them side by side in your document.
How many data points can the chart handle?
The chart renders cleanly up to around 50 data points. Beyond that, labels on the x-axis start to crowd. For very long time series, consider aggregating data to a coarser interval before entering it.
What file format is the download?
The download is a PNG at 2x resolution. PNG is supported by all presentation software, word processors, and image editors. If you need SVG or PDF, copy the chart as an image and paste it into your design tool.