Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Python Data Cleaning Cookbook
Python Data Cleaning Cookbook

Python Data Cleaning Cookbook: Modern techniques and Python tools to detect and remove dirty data and extract key insights

Arrow left icon
Profile Icon Michael Walker Profile Icon Michael B Walker
Arrow right icon
£9.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8 (28 Ratings)
Paperback Dec 2020 436 pages 1st Edition
eBook
£29.99
Paperback
£36.99
Subscription
Free Trial
Renews at £9.99p/m
Arrow left icon
Profile Icon Michael Walker Profile Icon Michael B Walker
Arrow right icon
£9.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8 (28 Ratings)
Paperback Dec 2020 436 pages 1st Edition
eBook
£29.99
Paperback
£36.99
Subscription
Free Trial
Renews at £9.99p/m
eBook
£29.99
Paperback
£36.99
Subscription
Free Trial
Renews at £9.99p/m

What do you get with a Packt Subscription?

Free for first 7 days. £13.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Key benefits

  • Get well-versed with various data cleaning techniques to reveal key insights
  • Manipulate data of different complexities to shape them into the right form as per your business needs
  • Clean, monitor, and validate large data volumes to diagnose problems before moving on to data analysis

Description

Getting clean data to reveal insights is essential, as directly jumping into data analysis without proper data cleaning may lead to incorrect results. This book shows you tools and techniques that you can apply to clean and handle data with Python. You'll begin by getting familiar with the shape of data by using practices that can be deployed routinely with most data sources. Then, the book teaches you how to manipulate data to get it into a useful form. You'll also learn how to filter and summarize data to gain insights and better understand what makes sense and what does not, along with discovering how to operate on data to address the issues you've identified. Moving on, you'll perform key tasks, such as handling missing values, validating errors, removing duplicate data, monitoring high volumes of data, and handling outliers and invalid dates. Next, you'll cover recipes on using supervised learning and Naive Bayes analysis to identify unexpected values and classification errors, and generate visualizations for exploratory data analysis (EDA) to visualize unexpected values. Finally, you'll build functions and classes that you can reuse without modification when you have new data. By the end of this Python book, you'll be equipped with all the key skills that you need to clean data and diagnose problems within it.

Who is this book for?

This book is for anyone looking for ways to handle messy, duplicate, and poor data using different Python tools and techniques. The book takes a recipe-based approach to help you to learn how to clean and manage data. Working knowledge of Python programming is all you need to get the most out of the book.

What you will learn

  • Find out how to read and analyze data from a variety of sources
  • Produce summaries of the attributes of data frames, columns, and rows
  • Filter data and select columns of interest that satisfy given criteria
  • Address messy data issues, including working with dates and missing values
  • Improve your productivity in Python pandas by using method chaining
  • Use visualizations to gain additional insights and identify potential data issues
  • Enhance your ability to learn what is going on in your data
  • Build user-defined functions and classes to automate data cleaning

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Dec 11, 2020
Length: 436 pages
Edition : 1st
Language : English
ISBN-13 : 9781800565661
Category :
Languages :
Concepts :
Tools :

What do you get with a Packt Subscription?

Free for first 7 days. £13.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Product Details

Publication date : Dec 11, 2020
Length: 436 pages
Edition : 1st
Language : English
ISBN-13 : 9781800565661
Category :
Languages :
Concepts :
Tools :

Packt Subscriptions

See our plans and pricing
Modal Close icon
£9.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 6,500+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
£99.99 billed annually
Feature tick icon Unlimited access to Packt's library of 6,500+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just £5 each
Feature tick icon Exclusive print discounts
£139.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 6,500+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just £5 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total £ 124.97
Hands-On Data Analysis with Pandas
£48.99
Data Engineering with Python
£38.99
Python Data Cleaning Cookbook
£36.99
Total £ 124.97 Stars icon
Visually different images

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8
(28 Ratings)
5 star 82.1%
4 star 17.9%
3 star 0%
2 star 0%
1 star 0%
Filter icon Filter
Top Reviews

Filter reviews by




Roy Dec 26, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I am a University Professor of Business Analytics and my specialty is Data Science. I have rated this book with 5 stars because Python Data Cleaning Cookbook offers some educational journeys on data cleaning via some examples through the open-source programming of python. The book is excellent for data enthusiasts to experience data cleaning from the eye of an experience data scientist. I would not recommend the book as a definite guide for data cleaning, however, I would defintaly recommend it to people who would like to be exposed to real examples of data clening.
Amazon Verified review Amazon
Elsie Jan 27, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book offers insights that cannot be gained from a simple google search. The author not only provides sample code, "recipes," for how to clean your data with Python, but teaches an approach to data cleaning. And the best part is that it is written in an engaging and clear manner.
Amazon Verified review Amazon
SP Jan 09, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book covers basic concepts required to get started with performing analysis on new data. It includes many coding examples to demonstrate each approach related to data cleaning. Basic knowledge of python programming skills are required to understand the code samples specified in the book. I would always use this book for reference, whenever I work with new data. Highly recommended for people who aspire to be a Data analyst !
Amazon Verified review Amazon
Dheeraj Feb 02, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is excellent for data enthusiasts to experience data cleaning in Python from a perspective of an experienced data scientist. It gives a comprehensive summary on various specifics of for data exploration, generating insights and fixing data anomalies. Nice comprehensive reference for any sort of data loading, munging, cleaning, and exploration with Python. A must have for any data insights professional.
Amazon Verified review Amazon
Asis Jan 11, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book provides some often used snippets of codes in my daily workflow. Separating all of the common actions into a prerequisite, how to do it, and how it works provides a quick reference while also providing insights on the inner workings of the pandas library. The user-defined automation has driven me to try and automate a large part of workflow through the tools that python provides. It is a great reference and, through its "see also" sections, can improve the quality of data exploration.
Amazon Verified review Amazon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

What is included in a Packt subscription? Chevron down icon Chevron up icon

A subscription provides you with full access to view all Packt and licnesed content online, this includes exclusive access to Early Access titles. Depending on the tier chosen you can also earn credits and discounts to use for owning content

How can I cancel my subscription? Chevron down icon Chevron up icon

To cancel your subscription with us simply go to the account page - found in the top right of the page or at https://subscription.packtpub.com/my-account/subscription - From here you will see the ‘cancel subscription’ button in the grey box with your subscription information in.

What are credits? Chevron down icon Chevron up icon

Credits can be earned from reading 40 section of any title within the payment cycle - a month starting from the day of subscription payment. You also earn a Credit every month if you subscribe to our annual or 18 month plans. Credits can be used to buy books DRM free, the same way that you would pay for a book. Your credits can be found in the subscription homepage - subscription.packtpub.com - clicking on ‘the my’ library dropdown and selecting ‘credits’.

What happens if an Early Access Course is cancelled? Chevron down icon Chevron up icon

Projects are rarely cancelled, but sometimes it's unavoidable. If an Early Access course is cancelled or excessively delayed, you can exchange your purchase for another course. For further details, please contact us here.

Where can I send feedback about an Early Access title? Chevron down icon Chevron up icon

If you have any feedback about the product you're reading, or Early Access in general, then please fill out a contact form here and we'll make sure the feedback gets to the right team. 

Can I download the code files for Early Access titles? Chevron down icon Chevron up icon

We try to ensure that all books in Early Access have code available to use, download, and fork on GitHub. This helps us be more agile in the development of the book, and helps keep the often changing code base of new versions and new technologies as up to date as possible. Unfortunately, however, there will be rare cases when it is not possible for us to have downloadable code samples available until publication.

When we publish the book, the code files will also be available to download from the Packt website.

How accurate is the publication date? Chevron down icon Chevron up icon

The publication date is as accurate as we can be at any point in the project. Unfortunately, delays can happen. Often those delays are out of our control, such as changes to the technology code base or delays in the tech release. We do our best to give you an accurate estimate of the publication date at any given time, and as more chapters are delivered, the more accurate the delivery date will become.

How will I know when new chapters are ready? Chevron down icon Chevron up icon

We'll let you know every time there has been an update to a course that you've bought in Early Access. You'll get an email to let you know there has been a new chapter, or a change to a previous chapter. The new chapters are automatically added to your account, so you can also check back there any time you're ready and download or read them online.

I am a Packt subscriber, do I get Early Access? Chevron down icon Chevron up icon

Yes, all Early Access content is fully available through your subscription. You will need to have a paid for or active trial subscription in order to access all titles.

How is Early Access delivered? Chevron down icon Chevron up icon

Early Access is currently only available as a PDF or through our online reader. As we make changes or add new chapters, the files in your Packt account will be updated so you can download them again or view them online immediately.

How do I buy Early Access content? Chevron down icon Chevron up icon

Early Access is a way of us getting our content to you quicker, but the method of buying the Early Access course is still the same. Just find the course you want to buy, go through the check-out steps, and you’ll get a confirmation email from us with information and a link to the relevant Early Access courses.

What is Early Access? Chevron down icon Chevron up icon

Keeping up to date with the latest technology is difficult; new versions, new frameworks, new techniques. This feature gives you a head-start to our content, as it's being created. With Early Access you'll receive each chapter as it's written, and get regular updates throughout the product's development, as well as the final course as soon as it's ready.We created Early Access as a means of giving you the information you need, as soon as it's available. As we go through the process of developing a course, 99% of it can be ready but we can't publish until that last 1% falls in to place. Early Access helps to unlock the potential of our content early, to help you start your learning when you need it most. You not only get access to every chapter as it's delivered, edited, and updated, but you'll also get the finalized, DRM-free product to download in any format you want when it's published. As a member of Packt, you'll also be eligible for our exclusive offers, including a free course every day, and discounts on new and popular titles.