Contingency Table in Python Last Updated : 21 Mar, 2024 Comments Improve Suggest changes Like Article Like Report Estimations like mean, median, standard deviation, and variance are very much useful in case of the univariate data analysis. But in the case of bivariate analysis(comparing two variables) correlation comes into play. Contingency Table is one of the techniques for exploring two or even more variables. It is basically a tally of counts between two or more categorical variables. Loading Libraries Python3 1== import numpy as np import pandas as pd import matplotlib as plt Loading Data Python3 1== data = pd.read_csv("loan_status.csv") print (data.head(10)) Output: Describe Data Python3 1== data.describe() Output: Data Info Python3 1== data.info() Output: Data Types Python3 1== # data types of feature/attributes # in the data data.dtypes Output: Code #1: Contingency Table showing correlation between Grades and loan status. Python3 1== data_crosstab = pd.crosstab(data['grade'], data['loan_status'], margins = False) print(data_crosstab) Output: Code #2: Contingency Table showing correlation between Purpose and loan status. Python3 1== data_crosstab = pd.crosstab(data['purpose'], data['loan_status'], margins = False) print(data_crosstab) Output: Code #3: Contingency Table showing correlation between Grades+Purpose and loan status. Python3 1== data_crosstab = pd.crosstab([data.grade, data.purpose], data.loan_status, margins = False) print(data_crosstab) Output: So as in the code, Contingency Tables are giving clear correlation values between two and more variables. Thus making it much more useful to understand the data for further information extraction. . Comment More info M mohit gupta_omg :) Follow Improve Article Tags : Python Python-pandas data-science python Explore Python FundamentalsPython Introduction 3 min read Input and Output in Python 4 min read Python Variables 5 min read Python Operators 5 min read Python Keywords 2 min read Python Data Types 7 min read Conditional Statements in Python 3 min read Loops in Python - For, While and Nested Loops 6 min read Python Functions 5 min read Recursion in Python 4 min read Python Lambda Functions 5 min read Python Data StructuresPython String 5 min read Python Lists 4 min read Python Tuples 4 min read Python Dictionary 3 min read Python Sets 6 min read Python Arrays 7 min read List Comprehension in Python 4 min read Advanced PythonPython OOP Concepts 11 min read Python Exception Handling 5 min read File Handling in Python 4 min read Python Database Tutorial 4 min read Python MongoDB Tutorial 2 min read Python MySQL 9 min read Python Packages 12 min read Python Modules 7 min read Python DSA Libraries 15 min read List of Python GUI Library and Packages 3 min read Data Science with PythonNumPy Tutorial - Python Library 3 min read Pandas Tutorial 6 min read Matplotlib Tutorial 5 min read Python Seaborn Tutorial 15+ min read StatsModel Library- Tutorial 4 min read Learning Model Building in Scikit-learn 8 min read TensorFlow Tutorial 2 min read PyTorch Tutorial 7 min read Web Development with PythonFlask Tutorial 8 min read Django Tutorial | Learn Django Framework 7 min read Django ORM - Inserting, Updating & Deleting Data 4 min read Templating With Jinja2 in Flask 6 min read Django Templates 7 min read Python | Build a REST API using Flask 3 min read How to Create a basic API using Django Rest Framework ? 4 min read Python PracticePython Quiz 3 min read Python Coding Practice 1 min read Python Interview Questions and Answers 15+ min read Like