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The Data Analysis Workshop

You're reading from   The Data Analysis Workshop Solve business problems with state-of-the-art data analysis models, developing expert data analysis skills along the way

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781839211386
Length 626 pages
Edition 1st Edition
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Authors (3):
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Konstantin Palagachev Konstantin Palagachev
Author Profile Icon Konstantin Palagachev
Konstantin Palagachev
Gururajan Govindan Gururajan Govindan
Author Profile Icon Gururajan Govindan
Gururajan Govindan
Shubhangi Hora Shubhangi Hora
Author Profile Icon Shubhangi Hora
Shubhangi Hora
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Toc

Table of Contents (12) Chapters Close

Preface
1. Bike Sharing Analysis 2. Absenteeism at Work FREE CHAPTER 3. Analyzing Bank Marketing Campaign Data 4. Tackling Company Bankruptcy 5. Analyzing the Online Shopper's Purchasing Intention 6. Analysis of Credit Card Defaulters 7. Analyzing the Heart Disease Dataset 8. Analyzing Online Retail II Dataset 9. Analysis of the Energy Consumed by Appliances 10. Analyzing Air Quality Appendix

Initial Data Analysis

As a rule of thumb, when starting the analysis of a new dataset, it is good practice to check the dimensionality of the data, type of columns, possible missing values, and some generic statistics on the numerical columns. We can also get the first 5 to 10 entries in order to acquire a feeling for the data itself. We'll perform these steps in the following code snippets:

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline
# import data from the GitHub page of the book
data = pd.read_csv('https://raw.githubusercontent.com'\
                   '/PacktWorkshops/The-Data-Analysis-Workshop'\
                   '/master/Chapter02/data/'\
           ...
You have been reading a chapter from
The Data Analysis Workshop
Published in: Jul 2020
Publisher: Packt
ISBN-13: 9781839211386
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