ChartGen.ai is a free AI-powered chart generator that transforms your data into professional visualizations in seconds. Simply upload your CSV or Excel file, describe what chart you want in plain English, and get stunning charts instantly. It supports 9 chart types including bar charts, line charts, pie charts, area charts, scatter plots, heatmaps, combo charts, waterfall charts, and funnel charts.

Is ChartGen.ai free to use?

Yes! ChartGen.ai offers free chart generation with 50 free charts per month and access to all 9 chart types. No credit card or signup required for basic features. Premium features with unlimited charts are available through the Ada.im platform.

What types of charts can I create with ChartGen.ai?

ChartGen.ai supports 9 professional chart types: Bar Charts (vertical and horizontal), Line Charts, Pie Charts, Area Charts, Scatter Plots, Heatmaps, Combo Charts (bar + line), Waterfall Charts, and Funnel Charts. Each chart can be customized with 12 professional color themes.

What file formats does ChartGen.ai support?

ChartGen.ai supports CSV files (.csv) and Excel files (.xlsx, .xls). You can also paste data directly into the interface. The AI automatically detects column types, dates, and numeric values to make chart creation seamless.

How does ChartGen.ai compare to Excel charts?

ChartGen.ai is faster and easier than Excel for creating charts. While Excel requires manual chart configuration and formula knowledge, ChartGen.ai uses AI to automatically select the best chart type, configure axes, and apply professional styling. You can create a publication-ready chart in seconds versus minutes with Excel.

How does ChartGen.ai compare to Tableau?

ChartGen.ai is a free, instant alternative to Tableau for simple chart creation. While Tableau is a powerful enterprise BI platform requiring licenses and training, ChartGen.ai offers zero learning curve and instant results. It's perfect for quick visualizations without the complexity of dashboard setup.

Is my data secure when using ChartGen.ai?

Yes, data security is a top priority. Your uploaded files are processed in real-time and are not permanently stored on servers. All data transmission is encrypted using HTTPS, and ChartGen.ai is SOC 2 compliant for enterprise use. Your data is never shared with third parties.

What is the best chart type for comparing data?

Bar charts are the best chart type for comparing values across categories. Use horizontal bar charts when category names are long, and vertical bar charts for time-based comparisons. ChartGen.ai's AI can automatically recommend the best chart type based on your data structure.

What chart should I use to show trends over time?

Line charts are ideal for showing trends over time and continuous data changes. Use area charts if you want to emphasize volume or cumulative totals. ChartGen.ai can create both types and will recommend the best option based on your data.

When should I use a pie chart?

Use pie charts to show part-to-whole relationships when you have 2-5 categories that sum to 100%. Avoid pie charts for more than 7 categories or when comparing similar values. ChartGen.ai will suggest alternatives like bar charts if your data isn't suitable for pie charts.

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

A scatter plot (also called XY chart or scatter diagram) displays values for two variables as points on a two-dimensional graph. Use scatter plots when you want to visualize relationships between variables, identify correlations, detect clusters, find outliers, or understand data distributions.

How do I create a scatter plot with ChartGen.ai?

Upload your data file (CSV, Excel, or JSON) with at least two numeric columns, select 'Scatter Plot' from the chart types, describe what you want to visualize, and click Generate. Our AI automatically identifies the best columns for X and Y axes.

What data formats work best for scatter plots?

ChartGen.ai supports CSV, Excel (.xlsx, .xls), and JSON files. For scatter plots, your data needs at least two numeric columns - one for the X-axis and one for the Y-axis. You can also include a third numeric column for bubble sizes.

Can I add a trendline or regression line to my scatter plot?

Yes! ChartGen.ai can add trendlines to help visualize the relationship between variables. Simply mention 'add trendline' or 'show regression line' in your prompt.

How do I create a bubble chart with variable point sizes?

Include a third numeric column in your data that represents the size dimension. Mention in your prompt that you want bubble sizes based on that column and the AI will scale point sizes proportionally.

Can I color-code points by category in my scatter plot?

Yes, if your data includes a categorical column, ChartGen.ai can color-code points accordingly. Just mention the grouping in your prompt and the AI will create a grouped scatter plot with a legend.

How do I identify outliers in my scatter plot?

Scatter plots naturally highlight outliers as points that appear far from the main cluster. ChartGen.ai's AI insights can automatically detect and mention significant outliers in your data.

Is ChartGen.ai part of Ada.im?

Yes! ChartGen.ai is a core product capability of Ada.im, an AI-powered data analysis platform. While ChartGen.ai focuses on chart generation, Ada.im offers additional features like data connectors, team collaboration, and interactive dashboards.

Can I export my scatter plot?

Yes, you can export your scatter plot as a high-quality PNG image perfect for presentations, reports, or sharing. For additional export formats, check out Ada.im.

What's the difference between correlation and causation in scatter plots?

A scatter plot can show correlation (two variables tend to change together) but doesn't prove causation (one variable causes the other to change). ChartGen.ai helps you visualize correlations clearly.

Create Beautiful
Scatter Plots with AI

Visualize correlations, distributions, and relationships in your data instantly. Perfect for discovering patterns, identifying outliers, detecting clusters, and understanding variable interactions with AI-powered XY chart generation.

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Popular Chart Templates for Quick Data Visualization

Types of Scatter Plots You Can Create

ChartGen.ai supports various scatter plot styles including basic XY charts, bubble charts, grouped scatter plots, and scatter plots with trendlines to reveal different aspects of your data.

Basic Scatter Plot

Simple XY plot showing individual data points to reveal patterns, distributions, and relationships between two numeric variables.

Bubble Chart

Scatter plot with variable point sizes representing a third dimension of data, perfect for visualizing three variables simultaneously.

Grouped Scatter Plot

Multiple data series with different colors to compare groups, categories, or segments within your data for comprehensive analysis.

Scatter with Trendline

Scatter plot with regression line showing the overall trend and correlation strength in your data for predictive analysis.

Popular Use Cases for Scatter Plots

Scatter plots are ideal for exploring relationships between variables, identifying correlations, and detecting patterns in scientific, business, and statistical data applications.

Correlation Analysis

Discover statistical relationships between two variables like price vs. sales volume, age vs. income, or marketing spend vs. conversions. Identify positive, negative, or no correlation patterns.

Scientific Research

Plot experimental results and identify patterns in research data across multiple trials. Visualize dose-response relationships, measurement comparisons, and hypothesis testing outcomes.

Market Segmentation

Visualize customer clusters based on behavior metrics and purchasing patterns. Segment audiences by demographics, preferences, or value metrics for targeted marketing strategies.

Quality Control

Identify outliers and detect anomalies in manufacturing or production data. Monitor process variations, spot defects, and maintain quality standards through visual inspection.

Bioinformatics

Visualize gene expression data, protein interactions, and biological relationships across samples. Essential for genomics research, drug discovery, and clinical studies.

Performance Analysis

Compare efficiency metrics like cost vs. performance, time vs. output, or resource allocation vs. results. Optimize operations through data-driven insights.

Why Use ChartGen.ai for Scatter Plots?

Our AI-powered scatter plot generator makes it easy to discover correlations, identify outliers, and visualize relationships in your data with professional-quality XY charts.

Easy Data Import

Upload CSV, Excel (.xlsx, .xls), or JSON files with your XY data. Drag and drop supported for quick data input.

AI-Powered Analysis

Describe relationships in plain English - our AI identifies the best X/Y variables and visualization approach automatically.

Custom Color Themes

Choose from 12 professional color palettes or create your own color scheme for brand-consistent scatter plots.

Advanced Options

Add trendlines and regression lines, adjust point sizes for bubble charts, customize axes labels and scales.

High-Quality Export

Download scatter plots as crisp PNG images optimized for presentations, reports, publications, and web use.

Secure Processing

Your data is processed securely with enterprise-grade encryption and never stored on our servers permanently.

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Want More Advanced Scatter Plot Features?

ChartGen.ai is powered by Ada.im. Register on Ada.im to unlock data connectors, team collaboration, interactive dashboards, automated reports, advanced statistical analysis, and enterprise-grade security for your scatter plot visualizations.

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Frequently Asked Questions About Scatter Plots

Everything you need to know about creating scatter plots, XY charts, bubble charts, and correlation graphs with ChartGen.ai

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Create Beautiful
Scatter Plots with AI

Popular Chart Templates for Quick Data Visualization

Navy Blue

Ocean Teal

Royal Purple

Emerald Green

Coral Pink

Sky Blue

Forest Green

Amber Orange

Rose Pink

Slate Gray

Mint Cyan

Violet Dream