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Python Data Cleaning Cookbook

You're reading from Python Data Cleaning Cookbook Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI

Product type Paperback

Published in May 2024

Publisher Packt

ISBN-13 9781803239873

Length 486 pages

Edition 2nd Edition

Languages

Python

Tools

Matplotlib

Concepts

Data Analysis

Author (1):

Michael Walker

View More author details

Table of Contents (14) Chapters

Preface

1. Anticipating Data Cleaning Issues When Importing Tabular Data with pandas

2. Anticipating Data Cleaning Issues When Working with HTML, JSON, and Spark Data FREE CHAPTER

3. Taking the Measure of Your Data

4. Identifying Outliers in Subsets of Data

5. Using Visualizations for the Identification of Unexpected Values

6. Cleaning and Exploring Data with Series Operations

7. Identifying and Fixing Missing Values

8. Encoding, Transforming, and Scaling Features

9. Fixing Messy Data When Aggregating

10. Addressing Data Issues When Combining DataFrames

11. Tidying and Reshaping Data

12. Automate Data Cleaning with User-Defined Functions, Classes, and Pipelines

13. Index

Index

A

anomalies

finding, with Isolation Forest 152-156

anti-pattern 318-322

API

complicated JSON data, importing from 53-57

apply

using, with groupby 336-341

B

bagging 276

Beautiful Soup 58

binning 308

bivariate relationships

outliers, identifying 128-135

unexpected values, identifying 128-135

viewing, with scatter plots 191-197

boxplots

used, for identifying outliers for continuous variables 173-179

broadcasting 224

C

categorical features

encoding 294-297

encoding, with high cardinality 300-303

encoding, with medium cardinality 300-303

categorical variables

frequencies, generating for 98-102

chaining 8

classes

logic, for updating Series values 429-434

non-tabular data structures, handling 435-439

Cleveland Museum of Art Open Access API

reference link 54, 371, 436

columns 286

organizing 84-89

selecting 84-89

comma separated values (CSV) 2

...

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Authors (1)

Michael Walker

Michael Walker

Michael Walker has worked as a data analyst for over 30 years at a variety of educational institutions. He is currently the CIO at College Unbound in Providence, Rhode Island, in the United States. He has also taught data science, research methods, statistics, and computer programming to undergraduates since 2006.

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