You're reading from The Data Analysis Workshop

Product typeBook

Published inJul 2020

Reading LevelIntermediate

PublisherPackt

ISBN-139781839211386

Edition1st Edition

Languages

Python

Tools

Jupyter

Concepts

Data Science

Authors (3):

Gururajan Govindan

Shubhangi Hora

Konstantin Palagachev

View More author details

Correlation

In this section, we will cover correlation – what does correlation mean, and how do we check the correlation between the DEFAULT column and other columns in our dataset?

Correlation measures the degree of dependency between any two variables. Say, for example, we have two variables, A and B. If the value of B increases when the value of A is increased, we say the variables are positively correlated. On the other hand, if the value of B decreases when we increase the value of A, we say the variables are negatively correlated. There could also be a situation where an increase in the value of A doesn't affect the value of B, for which we say the variables are uncorrelated.

The value of a correlation coefficient can vary between -1 to 1, with 1 being a strong positive correlation and -1 a strong negative correlation.

By studying the correlation between the DEFAULT column and other columns with the help of a heatmap, we can figure out which column/variable...

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The Data Analysis Workshop

Published in: Jul 2020Publisher: PacktISBN-13: 9781839211386

Authors (3)

Gururajan Govindan

Gururajan Govindan is a data scientist, intrapreneur, and trainer with more than seven years of experience working across domains such as finance and insurance. He is also an author of The Data Analysis Workshop, a book focusing on data analytics. He is well known for his expertise in data-driven decision-making and machine learning with Python.
Read more about Gururajan Govindan

Shubhangi Hora

Shubhangi Hora is a data scientist, Python developer, and published writer. With a background in computer science and psychology, she is particularly passionate about healthcare-related AI, including mental health. Shubhangi is also a trained musician.
Read more about Shubhangi Hora

Konstantin Palagachev

Konstantin Palagachev holds a Ph.D. in applied mathematics and optimization, with an interest in operations research and data analysis. He is recognized for his passion for delivering data-driven solutions and expertise in the area of urban mobility, autonomous driving, insurance, and finance. He is also a devoted coach and mentor, dedicated to sharing his knowledge and passion for data science.
Read more about Konstantin Palagachev

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