ydata-profiling

name	ydata-profiling
version	1.0.0
description	Automated data quality reports with comprehensive variable analysis, missing value detection, correlations, and HTML report generation - formerly pandas-profiling
type	reference
author	workspace-hub
category	data-analysis
capabilities	["Automated data quality reports","Variable type inference and analysis","Missing value detection and patterns","Correlation analysis (Pearson, Spearman, Kendall, Phik)","Duplicate row detection","HTML report generation","Large dataset handling with minimal mode","Comparison reports between datasets","Time series analysis"]
tools	["ydata-profiling","pandas","numpy","scipy","matplotlib"]
tags	["ydata-profiling","pandas-profiling","data-quality","eda","profiling","missing-values","correlations","html-report","data-analysis"]
platforms	["python"]
related_skills	["autoviz","pandas-data-processing","polars","great-tables","streamlit"]
requires	[]
scripts_exempt	true

Ydata Profiling

When to Use This Skill

USE YData Profiling when:

• Data quality assessment - Evaluating dataset health and completeness
• Initial data exploration - Understanding a new dataset quickly
• Missing value analysis - Detecting patterns in missing data
• Variable analysis - Understanding distributions and characteristics
• Data documentation - Creating shareable data quality reports
• Dataset comparison - Comparing training vs test data, or before/after
• Stakeholder reporting - Generating professional HTML reports
• Data validation - Checking data before ML model training

DON'T USE YData Profiling when:

• Real-time analysis - Need streaming data profiling
• Custom visualizations - Specific chart requirements
• Interactive dashboards - Use Streamlit or Dash instead
• Very large datasets - Over 10M rows (use sampling or minimal mode)
• Production pipelines - Need lightweight validation (use Great Expectations)

Prerequisites

# Basic installation
pip install ydata-profiling

# With all optional dependencies
pip install 'ydata-profiling[all]'

# Using uv (recommended)
uv pip install ydata-profiling pandas numpy

# Jupyter notebook support
pip install ydata-profiling ipywidgets notebook

# Verify installation
python -c "from ydata_profiling import ProfileReport; print('YData Profiling ready!')"

Complete Examples

Example 1: Data Quality Pipeline

from ydata_profiling import ProfileReport
import pandas as pd
import numpy as np
from datetime import datetime
import os
import json

 (