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Practical python data wrangling and data quality : getting started with reading, cleaning, and analyzing data /
There are awesome discoveries to be made and valuable stories to be told in datasets--and this book will help you uncover them. Whether you already work with data or just want to understand its possibilities, the techniques and advice in this practical book will help you learn how to better clean, e...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Sebastpol, CA :
O'Reilly Media,
2021.
|
| Edición: | First edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a McGregor, Susan, |e author. | |
| 245 | 1 | 0 | |a Practical python data wrangling and data quality : |b getting started with reading, cleaning, and analyzing data / |c Susan E. McGregor. |
| 250 | |a First edition. | ||
| 264 | 1 | |a Sebastpol, CA : |b O'Reilly Media, |c 2021. | |
| 264 | 4 | |c ©2022 | |
| 300 | |a 1 online resource (65 pages) | ||
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| 500 | |a Includes index. | ||
| 520 | |a There are awesome discoveries to be made and valuable stories to be told in datasets--and this book will help you uncover them. Whether you already work with data or just want to understand its possibilities, the techniques and advice in this practical book will help you learn how to better clean, evaluate, and analyze data to generate meaningful insights and compelling visualizations. Through foundational concepts and worked examples, author Susan McGregor provides the concepts and tools you need to evaluate and analyze all kinds of data and communicate your findings effectively. This book provides a methodical, jargon-free way for practitioners of all levels to harness the power of data. Use Python 3.8+ to read, write, and transform data from a variety of sources Understand and use programming basics in Python to wrangle data at scale Organize, document, and structure your code using best practices Complete exercises either on your own machine or on the web Collect data from structured data files, web pages, and APIs Perform basic statistical analysis to make meaning from data sets Visualize and present data in clear and compelling ways. | ||
| 542 | |f Copyright © O'Reilly Media, Inc. | ||
| 550 | |a Made available through: Safari, an O'Reilly Media Company. | ||
| 588 | |a Description based on online resource; title from digital title page (viewed on February 01, 2022). | ||
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