Scatter Plot Generator

Configure data and generate beautiful scatter plots

Chart Preview

Scatter plot generated from the configuration below

Data Configuration

Enter your chart configuration and data points below

Data Points Configuration

Add or edit chart data point coordinates

Features Introduction

The Scatter Plot Generator is a professional data visualization tool that helps you quickly create scatter plots to display relationships between two variables.

Real-time Preview

Preview chart effects immediately after modifying configuration

Correlation Analysis

Intuitively display the distribution and correlation between two variables

Interactive Tooltips

Mouse hover displays specific coordinate values and data details

Dynamic Data

Support dynamic adding, deleting and editing data point coordinates

How to Use

1

Configure Basic Information

Fill in the chart title, X-axis label, Y-axis label and data series name in the "Data Configuration" area

2

Add Data Points

Enter X coordinates and Y coordinates in "Data Points Configuration", use "Add Data Point" button to add more data

3

Update Chart

After completing the configuration, click the "Update Chart" button, and the scatter plot will be generated in real-time according to your data

4

View Results

View the generated scatter plot in the "Chart Preview" area above, supporting interactive tooltips

Scatter Plot Use Cases

Correlation Analysis

Analyze relationships between two variables, such as height and weight, income and expenses, temperature and sales

Trend Identification

Identify trends and patterns in data, discover outliers and clustering phenomena

Quality Control

Analyze product quality parameters in manufacturing, monitor changes in production processes

Market Analysis

Analyze product price and sales volume relationships, advertising investment and returns, market share changes

Scientific Research

Experimental data analysis, hypothesis verification, variable relationship research and other academic applications

Performance Evaluation

Employee performance and salary relationships, input-output efficiency, risk-return analysis

💡 Best Practice Recommendations

  • • Recommend keeping data points within 200 to avoid affecting chart performance
  • • Ensure X and Y axis data ranges are reasonable, avoid extreme values affecting overall display
  • • Suitable for displaying continuous numerical variables, not for categorical data
  • • When obvious linear relationships are discovered, consider adding trend lines

Technical Features

Based on ECharts

Uses the industry-leading Apache ECharts library, ensuring high performance and rich interactive effects

One-Click Download

Support exporting generated scatter plots as high-resolution PNG images, convenient for reports and presentations

Real-time Rendering

Charts are generated immediately after configuration changes, no waiting required, providing smooth user experience