AI Chart Template

Connected Scatter Plot Template

Reveal the relationship between two variables across time periods with a clean, labeled connected scatter plot.

Scatter PlotEconomics & ResearchTrend AnalysisTime Series

Chart preview

Connected Scatter Plot Template

Reveal the relationship between two variables across time periods with a clean, labeled connected scatter plot.

2015
2016
2017
2018
2019
2020

Template

What This Template Offers

A ready-to-use connected scatter plot pre-configured with unemployment and inflation data, showing how two economic indicators evolved from 2015 to 2024.

Use cases

Perfect Use Cases

Economic Research

Plot unemployment against inflation year-by-year to study Phillips Curve dynamics or analyze macroeconomic shifts. The connected path makes cyclical patterns immediately visible.

Business Performance Tracking

Compare two KPIs — such as ad spend vs. revenue — across quarters to spot correlation, lag effects, or inflection points in your growth strategy.

Scientific Data Storytelling

Show how two measured variables co-evolve in experiments or longitudinal studies, with labeled points making each observation traceable.

Investor & Stakeholder Presentations

Communicate how market conditions shifted over time using a single chart that carries both relational and temporal information at once.

Customize

How to Customize

Replace the Data

Swap out the unemployment and inflation values with your own X and Y pairs, and rename each point label to match your time periods or categories.

Update Axis Labels

Edit the X-axis and Y-axis labels in the General Settings panel to reflect your variables — for example 'Revenue ($)' and 'Customer Satisfaction Score'.

Style and Export

Adjust dot size, color, and opacity to match your brand or presentation theme, then download as PNG or SVG for slides, reports, or web use.

Key Benefits

  • Combines correlation analysis with time-ordering in a single intuitive chart
  • Point labels eliminate the need for a separate legend, keeping the chart clean
  • Works instantly in the browser — no software installation or design skills required
  • AI-powered generation lets you describe your data and get a chart in seconds

Pro Tips

  • Enable reference lines to mark a target threshold or historical average and make anomalies stand out immediately.
  • Use consistent dot sizing unless you want to encode a third variable — varying sizes can distract from the connection path.
  • For presentations, increase the label font size and dot stroke width so every data point reads clearly on large screens.

Start now

Create Your Own Connected Scatter Plot

Paste your data, describe what you want, and get a publication-ready chart in seconds.

or upload your data file

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