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Practical Python data wrangling and data quality: Getting Started with Reading, Cleaning, and Analyzing Data

By: Material type: BookBookPublication details: Mumbai Shroff Publishers & Distributors Pvt. Ltd. 2022Edition: First editionDescription: xv, 395 pagesISBN:
  • 9781492091509
  • 1492091502
Subject(s): Genre/Form: DDC classification:
  • 005.74015 MCG
Summary: "The world around us is full of data that holds unique insights and valuable stories, and this book will help you uncover them. Whether you already work with data or want to learn more about its possibilities, the examples and techniques in this practical book will help you more easily clean, evaluate, and analyze data so that you can generate meaningful insights and compelling visualizations. Complementing foundational concepts with expert advice, author Susan E. McGregor provides the resources you need to extract, evaluate, and analyze a wide variety of data sources and formats, along with the tools to communicate your findings effectively. This book delivers a methodical, jargon-free way for data practitioners at any level, from true novices to seasoned professionals, to harness the power of data." -- Back cover.
List(s) this item appears in: New Arrivals December 2023
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Item type Current library Call number Status Date due Barcode
Book Book Main Library Analytics 005.74015 MCG (Browse shelf(Opens below)) Available 119080

"The world around us is full of data that holds unique insights and valuable stories, and this book will help you uncover them. Whether you already work with data or want to learn more about its possibilities, the examples and techniques in this practical book will help you more easily clean, evaluate, and analyze data so that you can generate meaningful insights and compelling visualizations. Complementing foundational concepts with expert advice, author Susan E. McGregor provides the resources you need to extract, evaluate, and analyze a wide variety of data sources and formats, along with the tools to communicate your findings effectively. This book delivers a methodical, jargon-free way for data practitioners at any level, from true novices to seasoned professionals, to harness the power of data." -- Back cover.

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