Connected Scatterplot
A connected scatterplot draws a line through points in time order on an X/Y plane, so the path itself reveals how two variables co-evolve. Loops, reversals, and clusters along the path tell stories that neither a plain line chart nor a plain scatter can show. Ideal for showing ho
Template details
- chart
- scatter
- connected
- trajectory
- d3
When to use this template
A connected scatterplot reveals the dynamic relationship and sequence of change between two quantitative variables over time. Analysts reach for it to understand how two metrics influence each other, identify patterns of co-evolution, and detect turning points or cycles in their interaction. It excels at showing the path of their joint movement, highlighting loops, reversals, and clusters.
- Datasets with exactly two quantitative variables to compare.
- Data points ordered by a clear temporal or sequential dimension.
- Time-series data where the sequence of observations is critical.
- Sufficient data points to reveal a trajectory, but not overly dense.
- Variables measured in compatible or comparable units for visual interpretation.
- Data where the relationship between X and Y is expected to change over time.