Data Analysis Agent

Execute data analysis tasks with AI-generated Python code.

The Data Analysis Agent generates and executes Python code to analyze your data in isolated, secure environments.

Data Analysis Workflow

Capabilities

Code Generation

The agent generates Python code for:

  • Statistical analysis
  • Data processing and transformation
  • Visualization and plotting
  • Machine learning tasks
  • Bioinformatics pipelines

Isolated Execution

All code runs in sandboxed Jupyter notebook environments, ensuring:

  • Security and isolation
  • Reproducibility
  • Access to scientific Python libraries

Available Libraries

The execution environment includes:

  • Data Science: pandas, numpy, scipy, scikit-learn
  • Visualization: matplotlib, seaborn, plotly
  • Bioinformatics: biopython, scanpy, pydeseq2
  • Statistics: statsmodels, pingouin

Workflow

1. Task Understanding

The agent analyzes your task description and any provided data files.

2. Code Planning

It creates a step-by-step plan for the analysis.

3. Iterative Execution

Code is generated and executed incrementally, with the agent observing results and adjusting as needed.

4. Result Synthesis

Final results are compiled with visualizations and a clear interpretation of findings.

Example Tasks

"Perform differential expression analysis on this RNA-seq count matrix"
"Calculate IC50 values from this dose-response data"
"Generate a heatmap of gene expression across samples"
"Run PCA and clustering on this single-cell dataset"

Output Artifacts

Each analysis produces:

  • Jupyter Notebook - Complete code and outputs
  • Visualizations - Generated plots and figures
  • Summary Report - Key findings in plain language