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You're reading from  R Web Scraping Quick Start Guide

Product typeBook
Published inOct 2018
Reading LevelBeginner
PublisherPackt
ISBN-139781789138733
Edition1st Edition
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Olgun Aydin
Olgun Aydin
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Olgun Aydin

Olgun Aydin is a PhD candidate at the Department of Statistics at Mimar Sinan University, and is studying deep learning for his thesis. He also works as a data scientist. Olgun is familiar with big data technologies, such as Hadoop and Spark, and is a very big fan of R. He has already published academic papers about the application of statistics, machine learning, and deep learning. He loves statistics, and loves to investigate new methods and share his experience with other people.
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Step-by-step web scraping with rvest

After talking about the fundamentals of the rvest library, now we are going to deep dive into web scraping with rvest. We are going to talk about how to collect URLs from the website we would like to scrape.

We will use some simple regex rules for this issue. As we have learned how XPath works, then its time to write XPath rules. Once we have XPath rules and regex rules ready, we will jump into writing scripts to collect data from the website. That would be great, if we have a chance to play with the data we are going to collect. Don't worry; we will play with data, draw some plots, and create some charts.

We will collect a dataset from a blog, which is about big data (www.devveri.com). This website provides useful information about big data, data science domains. It is totally free of charge. People can visit this website and find use...

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R Web Scraping Quick Start Guide
Published in: Oct 2018Publisher: PacktISBN-13: 9781789138733

Author (1)

author image
Olgun Aydin

Olgun Aydin is a PhD candidate at the Department of Statistics at Mimar Sinan University, and is studying deep learning for his thesis. He also works as a data scientist. Olgun is familiar with big data technologies, such as Hadoop and Spark, and is a very big fan of R. He has already published academic papers about the application of statistics, machine learning, and deep learning. He loves statistics, and loves to investigate new methods and share his experience with other people.
Read more about Olgun Aydin