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Microsoft Solutions Partner | Data Science Dojo

Graph Generator

Creating accurate, publication-quality visualizations often requires hours of coding in Python or expensive BI tools, making it difficult for non-programmers to quickly explore and present data. Graph Generator lets users upload CSV or Excel files and generate high-resolution charts instantly using plain English queries, while also providing AI-generated Python code for transparency, validation, and reuse.

  • Natural Language: Generate publication-quality visualizations in seconds using natural language queries instead of spending hours writing matplotlib or seaborn code.
  • Smart Charting: AI-powered analysis automatically selects appropriate chart types based on your data characteristics and query intent, ensuring accurate data representation.
  • Cost savings: Eliminate the need for expensive business intelligence tools or dedicated data visualization specialists for routine chart creation.
  • Code Transparency: View the AI’s reasoning and generated Python code alongside high-resolution (300 DPI) graphs for validation and understanding.
  • Improved compliance: Transparent code generation enables technical review, ensuring visualizations meet organizational and regulatory requirements.

Upload your CSV or Excel file to view an automatic preview showing data types and summary statistics. Then simply describe the visualization you want in plain English, such as “show me monthly sales trends” or “create a pie chart of customer segments by revenue.” The AI assistant powered by Gemini LLM will analyze your request, generate optimized Python code, and produce a high-resolution graph. You can create bar charts, pie charts, line charts, scatter plots, histograms, and heatmaps without writing any code.

Example Use Cases:

  • [Healthcare/Clinical Analytics]: "Show patient admission trends by month" or "Create a scatter plot of patient age vs. recovery time colored by treatment type" for clinical outcome analysis
  • [Finance/Performance Reporting]: "Compare quarterly revenue across product lines as a grouped bar chart" or "Generate a heatmap showing correlation between financial metrics" for executive dashboards
  • [Retail/Sales Intelligence]: "Display top 10 products by sales volume as a horizontal bar chart" or "Show seasonal sales patterns with a line chart comparing this year to last year"
  • [Manufacturing/Production Monitoring]: "Create a histogram of defect rates across production batches" or "Show equipment utilization by shift as a stacked bar chart"

The Graph Generator can serve analysts across healthcare, finance, retail, and manufacturing who need to quickly explore data visually and create presentation-ready charts without programming expertise.

Q1: What file formats and data structures does the Graph Generator support?

A: The tool accepts CSV and Excel files with structured tabular data. Upon upload, it automatically previews your data, displays column data types, and generates summary statistics to help you understand the dataset before creating visualizations.
Q2: What types of charts and visualizations can I create?

A: The Graph Generator can create bar charts (vertical and horizontal), pie charts, line charts, scatter plots, histograms, and heatmaps. The AI automatically selects the most appropriate visualization type based on your natural language query and data characteristics, though you can also specify your preferred chart type explicitly.
Q3: Can I see and modify the code that generates my charts?

A: Yes, the tool displays both the AI’s analytical thought process and the complete Python code generated for each visualization. This transparency allows you to understand how the chart was created, validate the approach, and even copy the code for customization in your own Python environment. All graphs are generated at 300 DPI for publication quality.