Exploratory Data Analysis

Discover patterns, anomalies, and relationships in tabular data through statistical analysis and visualization.

Supported formats: CSV, Excel (.xlsx, .xls), JSON, Parquet, TSV, Feather, HDF5, Pickle

Standard Workflow

1. Run statistical analysis:

python scripts/eda_analyzer.py <data_file> -o <output_dir>

2. Generate visualizations:

python scripts/visualizer.py <data_file> -o <output_dir>

3. Read analysis results from <output_dir>/eda_analysis.json