Understanding Scatter Plots

Scatter plots are essential tools for visualizing the relationship between two quantitative variables. They help identify patterns, trends, and potential correlations in datasets.

How to Use This Tool

Enter your X and Y values as comma-separated numbers
Click "Generate Plot" to create your visualization
Analyze the pattern of points to identify correlations
Use the swap button to exchange X and Y variables

Example Dataset

Try this sample data to see a positive correlation:

X: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10

Y: 2, 4, 5, 4, 5, 7, 8, 8, 9, 11

Interpreting Correlations

Pattern	Correlation Type	Description
Points slope upward	Positive	As X increases, Y tends to increase
Points slope downward	Negative	As X increases, Y tends to decrease
No clear pattern	No correlation	X and Y show no relationship

Frequently Asked Questions

What is Pearson's correlation coefficient?

Pearson's r measures the linear correlation between two variables, ranging from -1 (perfect negative correlation) to +1 (perfect positive correlation), with 0 indicating no linear correlation.

How many data points can I plot?

The tool can handle up to 100 data points effectively. For larger datasets, consider specialized statistical software.

Can I plot non-numerical data?

No, both X and Y values must be numerical. For categorical data, consider using a different visualization method like a bar chart.

Scatter Plot Generator

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Scatter Plot Generator - Visualize Correlations Fast

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