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Python Data Cleaning Cookbook: Modern techniques and Python tools to detect and remove dirty data and extract key insights - Softcover
- PublisherPackt Publishing
- Publication date2020
- ISBN 10 1800565666
- ISBN 13 9781800565661
- BindingPaperback
- LanguageEnglish
- Number of pages436
- Rating
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Python Data Cleaning Cookbook
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Python Data Cleaning Cookbook: Modern techniques and Python tools to detect and remove dirty data and extract key insights
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Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.64. Seller Inventory # G1800565666I4N00
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Python Data Cleaning Cookbook: Modern techniques and Python tools to detect and remove dirty data and extract key insights
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Condition: acceptable. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Acceptable condition! Any other included accessories are also in Acceptable condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear such as cover tears discoloration, staining, marks, scuffs, etc. All pages intact. Seller Inventory # GWSVV.1800565666.A
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Python Data Cleaning Cookbook: Modern techniques and Python tools to detect and remove dirty data and extract key insights
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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_427708316
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Python Data Cleaning Cookbook: Modern techniques and Python tools to detect and remove dirty data and extract key insights
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paperback. Condition: Good. The book is nice and 100% readable, but the book has visible wear which may include stains, scuffs, scratches, folded edges, sticker glue, torn on front page,highlighting, notes, and worn corners. Seller Inventory # 4JQO8Z006SST
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Python Data Cleaning Cookbook: Modern techniques and Python tools to detect and remove dirty data and extract key insights
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Python Data Cleaning Cookbook: Modern techniques and Python tools to detect and remove dirty data and extract key insights
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Python Data Cleaning Cookbook: Modern techniques and Python tools to detect and remove dirty data and extract key insights (Paperback or Softback)
Published by
Packt Publishing 12/11/2020, 2020
ISBN 10: 1800565666
ISBN 13: 9781800565661
New
Paperback or Softback
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
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Paperback or Softback. Condition: New. Python Data Cleaning Cookbook: Modern techniques and Python tools to detect and remove dirty data and extract key insights 1.64. Book. Seller Inventory # BBS-9781800565661
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Python Data Cleaning Cookbook: Modern techniques and Python tools to detect and remove dirty data and extract key insights
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Python Data Cleaning Cookbook: Modern techniques and Python tools
Seller: Optimon Books, Gravesend, KENT, United Kingdom
Seller rating 4 out of 5 stars
Paperback. Condition: Good. Discover how to describe your data in detail, identify data issues, and find out how to solve them using commonly used techniques and tips and tricksKey FeaturesGet well-versed with various data cleaning techniques to reveal key insightsManipulate data of different complexities to shape them into the right form as per your business needsClean, monitor, and validate large data volumes to diagnose problems before moving on to data analysisBook DescriptionGetting 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.What you will learnFind out how to read and analyze data from a variety of sourcesProduce summaries of the attributes of data frames, columns, and rowsFilter data and select columns of interest that satisfy gi. Seller Inventory # 405187
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