Interactive Dashboard
The scikit-na interactive dashboard provides a comprehensive, user-friendly interface for exploring missing data patterns. Built with ipywidgets, it offers real-time analysis through multiple coordinated views.
Quick Start
Create an interactive dashboard in just a few lines:
import pandas as pd
import scikit_na as na
# Load your data
data = pd.read_csv('titanic_dataset.csv')
# Launch interactive dashboard
dashboard = na.report(data)
display(dashboard)
Features Overview
The dashboard includes five integrated analysis tabs:
Summary: Column-selectable statistics with real-time updates
Visualizations: Interactive heatmaps and impact analysis
Statistics: Comparative analysis grouped by missingness
Correlations: Missing value pattern relationships
Distributions: Value distribution comparisons
Dashboard Tabs
Summary tab
Visualization tab
Statistics tab
Correlations tab
Distributions tab