Scatter Plot
A scatter plot shows two numeric columns as points: each row is one point, x = one numeric variable, y = the other. You can see relationship, correlation, and (where available) regression or trend.
When to use it
- Two numeric columns — e.g. age vs income, score A vs score B, time vs value.
- Relationship — See if one variable tends to increase or decrease with the other.
- Correlation and regression — AddMaple may show correlation and regression output when you pivot two numeric columns; the scatter plot is the visual counterpart.
How to create it
- Add two numeric columns — In the sentence builder, choose a first numeric column (e.g. x-axis) and a second numeric column (e.g. y-axis).
- Select scatter view — When pivoting two numeric columns, AddMaple typically offers a scatter plot option in the chart controls (or in a view toggle). Choose it to show points instead of bars or bins.
- Optional: category color — If you add a third (categorical) column, points may be colored by category to compare groups.
What you see
- Points — One point per row (or per aggregated unit, depending on setup); x = first numeric column, y = second.
- Axes — Numeric scales; may be linear or log depending on settings.
- Trend/regression — If available, a trend line or regression line with equation or R².
- Hover — x, y, and (if present) category for each point.
See Correlation and Regression for statistical detail. Use filters to focus on subsets; outliers appear as points far from the main cloud.
Key points
- Two numeric columns: x and y; one point per row (or per aggregation).
- Use to explore relationship and correlation; trend/regression if available.
- Add a category column to color points by group.