Interactive report

Report interface is based on ipywidgets. It can help you quickly and interactively explore NA values in your dataset, view patterns, calculate statistics, show relevant figures and tables.

To begin, just load the data and pass your DataFrame to scikit_na.report() function:

import pandas as pd
import scikit_na as na

data = pd.read_csv('titanic_dataset.csv')
na.report(data)

Interactive report

Summary tab

Visualization tab

Statistics tab

Correlations tab

Distributions tab