Clean Data - Data Science Strategies for Tackling Dirty Data 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Megan Squire 作者

Packt Publishing - ebooks Account

译者

2015-5-29 出版日期

267 页数

USD 39.99 价格

Paperback

丛书系列

9781785284014 图书编码

Clean Data - Data Science Strategies for Tackling Dirty Data 在线电子书图书标签: 计算机计算机科学英文版 Programming Data 数据 datascience data.mining

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发表于2024-06-30

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Clean Data - Data Science Strategies for Tackling Dirty Data 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Clean Data - Data Science Strategies for Tackling Dirty Data 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Clean Data - Data Science Strategies for Tackling Dirty Data 在线电子书著者简介

Megan Squire is a professor of computing sciences at Elon University. She has been collecting and cleaning dirty data for two decades. She is also the leader of FLOSSmole.org, a research project to collect data and analyze it in order to learn how free, libre, and open source software is made.

Clean Data - Data Science Strategies for Tackling Dirty Data 在线电子书图书目录

Clean Data - Data Science Strategies for Tackling Dirty Data 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Clean Data - Data Science Strategies for Tackling Dirty Data 在线电子书图书描述

Is much of your time spent doing tedious tasks such as cleaning dirty data, accounting for lost data, and preparing data to be used by others? If so, then having the right tools makes a critical difference, and will be a great investment as you grow your data science expertise.

The book starts by highlighting the importance of data cleaning in data science, and will show you how to reap rewards from reforming your cleaning process. Next, you will cement your knowledge of the basic concepts that the rest of the book relies on: file formats, data types, and character encodings. You will also learn how to extract and clean data stored in RDBMS, web files, and PDF documents, through practical examples.

At the end of the book, you will be given a chance to tackle a couple of real-world projects.

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