Automatic Exploratory Data Analysis, Cleaning, Validation, Visualization, and Smart Insights on ANY CSV dataset.
Project description
AutoEDA
A production-ready Python package that performs automatic Exploratory Data Analysis (EDA), Data Cleaning, Data Validation, Visualization, and Smart Insights on ANY CSV dataset.
Features
- Dynamic Analysis: Automatically detects numerical, categorical, boolean, and datetime columns.
- Smart Cleaning: Handles missing values, removes duplicates, and optimizes datatypes automatically.
- Visualizations: Automatically generates relevant charts using Matplotlib and Seaborn.
- Smart Insights: Generates English observations based on statistical findings.
- Rich Terminal UI: Beautiful, organized CLI reports.
Installation
pip install .
Usage
Python API
from autoeda import analyze
# Complete analysis
analyze("data.csv")
# Only clean data
# analyze("data.csv", mode="clean")
CLI
# Complete analysis
autoeda data.csv
# Specific modes
autoeda data.csv --clean
autoeda data.csv --visualize
autoeda data.csv --all
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