Scatter Plot Maker
Created:October 10, 2024
Last Updated:March 21, 2025
Create beautiful bubble charts from your data. Upload your own data or try our sample datasets.
Try it out!
- Click Sample Data and select Restaurant Tips
- For X-Axis column, select total_bill
- For Y-Axis column, select tip
- For Color By column, select day or leave it as None
- For Size By column, select size or leave it as None
- For Facet Column or Row, select day or leave it as None
- Click Generate Bubble Chart to visualize the data
Calculator
1. Load Your Data
2. Select Columns & Options
Learn More
Scatter Plots: Definition, Uses, and Interpretation
What is a Scatter Plot?
A scatter plot is a type of data visualization that shows the relationship between two continuous variables. Each point on the plot represents an individual data point, with its position determined by the values of the two variables.
Uses of Scatter Plots
- Identifying relationships between variables
- Detecting outliers in data
- Visualizing clusters or patterns in data
- Comparing different groups within a dataset
Interpreting Scatter Plots
When interpreting a scatter plot, consider the following:
- Direction of the relationship (positive, negative, or no relationship)
- Strength of the relationship (how closely the points follow a pattern)
- Presence of outliers or unusual patterns
- Clusters or groupings of points
Advanced Scatter Plot Techniques
Scatter plots can be enhanced with additional dimensions of data:
- Color-coding points to represent a third variable
- Varying point size to represent a fourth variable
- Adding trend lines or curves to show overall patterns
- Using interactive features for exploring large datasets