Connected Scatter Plot Maker

A connected scatter plot is a chart that places data points on an X-Y grid and draws lines between them in a defined sequence — usually time or order. It combines the correlation-revealing power of a scatter plot with the trend-showing power of a line chart, making it ideal for data that changes across two dimensions simultaneously.

A regular scatter plot shows the distribution of X-Y pairs without implying any order. A connected scatter plot adds lines linking the points in sequence, which reveals how the relationship between the two variables evolves over time or across ordered conditions. Use the connected version when sequence or progression matters.

Yes — you can create, customize, and download connected scatter plots at no cost and without creating an account. Free plans include all core chart types, download options, and a set of AI credits to try AI-powered generation. Paid plans unlock more AI credits, file upload, and advanced features.

Yes. Pro plan users can upload CSV or Excel files directly, and the tool maps your columns to X and Y axes automatically. On free plans, you can paste data from a spreadsheet into the data table and the chart updates in real time.

The connected line option is built into the scatter chart configuration. Once your data points are entered, enable the connection setting and lines will automatically link the points in the order they appear in your data table. You can also adjust line style, dot size, and opacity from the display settings panel.

Yes. In the Display Settings panel, toggle 'Show point labels' to add a name or value label beside each dot. You can also enable tooltips so the label appears on hover, keeping the chart visually clean while still providing full context to viewers.

You can download your connected scatter plot as a high-resolution PNG for presentations and documents, or as an SVG for scalable web use. Embed codes are also available on Plus and Pro plans so you can display a live chart on any website.

Absolutely. The scatter chart supports unlimited data points, custom axis labels, reference lines for thresholds or benchmarks, and adjustable dot sizes that can encode a third variable. These features make it well-suited for experimental data, longitudinal studies, and academic presentations.

Yes. Describe your data and goal in plain language — for example, 'ad spend vs. conversions by month over one year' — and the AI will generate a connected scatter plot with appropriate axis labels, colors, and point layout. You can then refine any aspect through the configuration panel.

A scatter plot maps two variables on X and Y axes. A bubble chart adds a third variable encoded as the size of each dot. MakeCharts supports both chart types. If your data has three dimensions you want to visualize simultaneously, the bubble chart may be the better choice — but for two-variable trajectory analysis, the connected scatter plot is the cleaner option.