Universal EDA

Universal-EDA provides an easy-to-use interface for exploratory data analysis (EDA) and data loading so that the first hour with a new dataset is spent looking at the data rather than writing boilerplate.

Background

The project started while updating an older linear regression project and discovering that the Boston Housing dataset had been removed from newer versions of scikit-learn. Universal-EDA keeps classic teaching datasets available and wraps the repetitive first steps of any analysis.

Features

• DataExplorer: summary statistics, missing-value reports, and quick visualizations for any DataFrame.
• DataLoader: loads common datasets from scikit-learn and converts DataFrames to CSV files.

from src import DataExplorer, DataLoader

df = DataLoader().load_toy_dataset('boston')
DataExplorer(df).basic_info()

What it demonstrates

Packaging reusable analysis code into clean classes, and designing small APIs that make day-to-day data work faster.