Hello World - Your First Sphinx Analysis
This example walks through the simplest possible Sphinx workflow: analyzing a dataset with a single question.Prerequisites
- Sphinx installed in your IDE (VS Code, Cursor, or Windsurf)
- Python 3.8+ with basic data science packages:
pandas,matplotlib,seaborn - A Sphinx account (sign up at sphinx.ai)
Quick Setup
- Open your IDE with a Jupyter notebook or create a new one
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Launch Sphinx using the keyboard shortcut:
- Mac:
⌘ + T - Windows/Linux:
Ctrl + T
- Mac:
- Log in with your Sphinx credentials
Your First Analysis
Let’s analyze a simple dataset: We have provided a quick start at our Github to give a quick analysis.-
Clone the quick start repository:
This gives you example data and notebooks to get started.
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Ask Sphinx a question:
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Watch Sphinx work: Sphinx will:
- Read and explore your data
- Generate visualizations
- Perform statistical tests
- Provide insights about the data distribution
What Happens
Sphinx analyzes your question and autonomously:- Loads the CSV file
- Creates exploratory visualizations (histograms, density plots)
- Tests for different distributions (normal, bimodal, etc.)
- Generates code in notebook cells
- Executes the analysis
- Presents findings with explanations
Next Steps
Try other datasets!Success! You’ve completed your first Sphinx analysis. The same workflow applies to increasingly complex questions—just ask Sphinx what you want to know about your data.