What is a scatter plot used for?

Scatter plots are used to visualize relationships between two numerical variables. They help identify correlations, trends, and patterns in data.

How do I add data to the scatter plot?

You can add data points manually using the input fields, or paste CSV data with X,Y coordinates. Each point represents one data observation.

Scatter Plot Generator

Create interactive scatter plots to visualize relationships between two variables. Perfect for correlation analysis, trend identification, and data exploration.

Chart Data:

X Value

Y Value

Label (Optional)

Chart Options:

Chart Title:

Chart Size:

X-Axis Label:

Y-Axis Label:

Point Color:

Point Size:

Show Trend Line

Show Grid Lines

Show Point Labels

Enable Animation

About Scatter Plots

Scatter plots are powerful visualization tools used to display relationships between two numerical variables. Each point on the plot represents one observation, with its position determined by the values of the two variables.

Key Features:

Correlation Analysis: Identify positive, negative, or no correlation between variables
Trend Detection: Spot patterns and trends in your data
Outlier Identification: Easily spot data points that don't fit the general pattern
Data Distribution: Understand how your data is spread across different ranges

How to Use:

Enter your data points using either manual entry or CSV import
Customize your chart with titles, labels, colors, and styling options
Generate the scatter plot to visualize your data relationships
Analyze the correlation coefficient and other statistics
Export your chart for presentations or reports

Interpreting Results:

Correlation Coefficient: Values close to +1 indicate strong positive correlation, close to -1 indicate strong negative correlation, and close to 0 indicate no linear correlation
Trend Lines: Help visualize the general direction of the relationship
Data Spread: Wide scatter indicates high variability, tight clustering indicates low variability