ZipEDA 0.0.8

Quick and easy Exploratory Data Analysis package.

ZipEDA

ZipEDA is a lightweight, plug-and-play exploratory data analysis (EDA) tool for pandas DataFrames.

It quickly summarizes your dataset, visualizes distributions, and highlights key data quality issues — all in a single call.

Use the target_column parameter to get class-wise views.

Installation

pip install zipeda

QuickStart

import pandas as pd

from zipeda import perform_eda


df = pd.read_csv("your_data.csv")
perform_eda(df)  # Without specifying a target column

# Or include your target column to add class-wise views
perform_eda(df, target_column="Survived")  # Example from the Titanic dataset

What you get

1. Dataset overview (head)
2. Shape
3. Missing values
4. Duplicated rows (with sample)
5. Boxplots for numeric features (+ by target if provided)
6. Unique counts & “all unique” flags
7. Feature types distribution
8. Descriptive statistics
9. Target distribution (+ count plot)
10. Histograms with normal curve overlay
11. Categorical feature counts
12. Correlation heatmap

Requirements

1. Python ≥ 3.8
2. pandas, numpy, matplotlib, seaborn