Scatter Plot Maker

Excel to Scatter Plot Maker

Upload CSV/Excel files or enter data manually to create beautiful scatter plots

File Upload

Upload your data file

Supports CSV and Excel files

Series Summary

Total Series
2
Visible Series
2
Total Data Points
10

Export Chart

File Upload Guide

Supported Formats:

  • • CSV files (.csv)
  • • Excel files (.xlsx, .xls)

Data Structure:

  • • First row should contain column headers
  • • X and Y values should be in separate columns
  • • Optional: Include a series column for grouping
  • • Numeric data will be automatically detected

Example CSV Format:

X_Values,Y_Values,Category
10,15,Group A
20,25,Group A
15,35,Group B
25,45,Group B

Key Features

File Upload Support: Upload CSV or Excel files for instant data import
Smart Column Detection: Automatically identifies numeric columns for plotting
Series Grouping: Group data points by category columns for multi-series plots
Real-time Preview: See your data structure before generating the chart
Manual Override: Edit data manually or combine with uploaded data
Export Ready: Download your charts in multiple formats (PNG, SVG, JPEG)

How to Use

1
Upload File: Go to Upload tab and select your CSV/Excel file
2
Map Columns: Select X, Y, and optional series grouping columns
3
Generate Chart: Click ",Generate Chart from File", to create series
4
Customize: Use Style and Advanced tabs to adjust appearance
5
Export: Download your chart in PNG, JPEG, JPG, or SVG format

Sample Data Templates

Copy these templates to create your own CSV files for testing:

Simple Two-Series Dataset

X,Y,Series
10,12,Dataset A
15,18,Dataset A
20,25,Dataset A
25,30,Dataset A
12,22,Dataset B
18,28,Dataset B
22,35,Dataset B
28,40,Dataset B

Scientific Measurement Data

Temperature,Pressure,Experiment
23.5,101.3,Trial 1
25.2,102.1,Trial 1
27.8,103.5,Trial 1
24.1,98.7,Trial 2
26.3,99.9,Trial 2
28.9,101.2,Trial 2

Frequently Asked Questions About Scatter Plot Maker

What is a scatter plot and when should I use one?+

A scatter plot is a graph that shows the relationship between two variables using dots or points. Each point represents an observation, with its position determined by its X and Y values. Scatter plots are ideal for identifying correlations, clusters, and outliers in datasets. They're commonly used in statistics, science, business analytics, and research to visualize relationships and patterns.

How do I enter data into the scatter plot maker?+

Simply enter your X values and Y values in the "Data" tab, separated by commas. For example: X values "10, 20, 30" and Y values "5, 15, 25". Each X value is paired with the corresponding Y value. The tool automatically validates your input and shows you the number of valid data pairs before you update the chart.

Can I add a trendline to my scatter plot?+

Yes! The trendline feature is available in the "Data" tab. Enable it to automatically calculate and display a linear regression line through your data points. You can customize the trendline color, style (solid, dashed, dotted), and width. This is especially useful for showing correlations and trends in your data.

What file formats can I download my scatter plot in?+

You can download your scatter plot in four formats: PNG (best for web and presentations with transparency), JPEG (smaller file size for compression), JPG (standard image format), and SVG (vector format perfect for printing and scaling). SVG is recommended for professional publications and large prints as it maintains quality at any size.

Is my data secure? Do you store my information?+

Absolutely. All data processing happens directly in your browser. We never upload, store, or access your data on any server. Your scatter plots and data remain completely private and secure. This is why you don't need to sign up or log in-we have nothing to store.

Can I customize the appearance of my scatter plot?+

Extensively! Use the "Style" tab to change marker colors and sizes, background color, text color, and legend position. The "Advanced" tab offers animation settings, grid customization, tooltip theming, and more. You can create a scatter plot that matches your brand, presentation style, or personal preference.