A one-line autonomous exploratory data analysis (EDA) and reporting library.
Project description
🚀 tom — One-Line Data Analytics Library
tom is a highly autonomous, zero-configuration Python library that delivers end-to-end exploratory data analysis (EDA) in a single line.
✨ Features
- Smart Loading (
om.file()): Automatic format, encoding, and delimiter detection for.csv,.xlsx,.xls,.json,.parquet,.tsv, and.txt. - Auto Data Preprocessing (
om.clean_report()): Type coercion (dates, numerical objects), median/mode missing value imputation, and duplicate handling. - Statistical Analysis Engine (
om.stats): Normality tests, correlation matrices, Chi-Square associations, and ANOVA tests. - Dazzling Data Visualizations (
om.charts): Static high-res Seaborn charts + portable, interactive Plotly dashboard. - NLP Insights (
om.insights): Readable plain-English suggestions and red flags. - Premium Reporting (
om.describe()): Rich terminal prints and self-contained glassmorphism HTML pages.
📦 Installation
pip install -e .
🛠️ Usage
import tom as om
# Load data interactively (terminal prompt if no path) or directly
om.file("dataset.csv")
# Generate beautiful, high-quality, comprehensive reports in one go!
om.describe()
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