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Hands-On Data Science with R

You're reading from  Hands-On Data Science with R

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781789139402
Pages 420 pages
Edition 1st Edition
Languages
Authors (4):
Vitor Bianchi Lanzetta Vitor Bianchi Lanzetta
Profile icon Vitor Bianchi Lanzetta
Doug Ortiz Doug Ortiz
Profile icon Doug Ortiz
Nataraj Dasgupta Nataraj Dasgupta
Profile icon Nataraj Dasgupta
Ricardo Anjoleto Farias Ricardo Anjoleto Farias
Profile icon Ricardo Anjoleto Farias
View More author details
Toc

Table of Contents (16) Chapters close

Preface 1. Getting Started with Data Science and R 2. Descriptive and Inferential Statistics 3. Data Wrangling with R 4. KDD, Data Mining, and Text Mining 5. Data Analysis with R 6. Machine Learning with R 7. Forecasting and ML App with R 8. Neural Networks and Deep Learning 9. Markovian in R 10. Visualizing Data 11. Going to Production with R 12. Large Scale Data Analytics with Hadoop 13. R on Cloud 14. The Road Ahead 15. Other Books You May Enjoy

Retrieving tweets from R community

Twitter has a web API that can be used to retrieve text (tweets) from it. A package named rtweet provides an interface to use it. Once we get used to it, it is very easy to scrape tweets. In this section, we are going to use rtweet to check what packages the R community tweet about, specifically which packages they talk about that most so that we can see whether we know about them. Make sure that rtweet is properly installed with the following code line:

if(!require(rtweet)){install.packages('rtweet')}

Using the rtweet package, along with some others that might aid us in the data cleaning process, we will count how many times R packages were mentioned using the rstats hashtag over 15,000 tweets. Besides internet connection, the proper use of rtweet also demands an authorization token and consequently a Twitter account. Most of the...

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