Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Become a Python Data Analyst

You're reading from   Become a Python Data Analyst Perform exploratory data analysis and gain insight into scientific computing using Python

Arrow left icon
Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781789531701
Length 178 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Alvaro Fuentes Alvaro Fuentes
Author Profile Icon Alvaro Fuentes
Alvaro Fuentes
Arrow right icon
View More author details
Toc

Analyzing variables individually

First, let's define the names of the variables that we are going to use in this analysis. We have a list of the numerical variables and a list of the categorical variables. Then, we will redefine our housing DataFrame with a DataFrame that contains only the variables that we just defined. Then, we use the shape attribute to see the size of the new DataFrame:

In the preceding diagram, we can see that the shape of our DataFrame has now changed because we have only 15 columns.

Understanding the main variable

Let's talk about the main variable that we want to understand, the SalePrice of the house. The first thing that we do when we have a categorical variable is that we usually want...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime