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Hands-On Data Science with Anaconda

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

Product type Book
Published in May 2018
Publisher Packt
ISBN-13 9781788831192
Pages 364 pages
Edition 1st Edition
Languages
Authors (2):
Yuxing Yan Yuxing Yan
Profile icon Yuxing Yan
James Yan James Yan
Profile icon James Yan
View More author details

Table of Contents (15) Chapters

Preface Ecosystem of Anaconda Anaconda Installation Data Basics Data Visualization Statistical Modeling in Anaconda Managing Packages Optimization in Anaconda Unsupervised Learning in Anaconda Supervised Learning in Anaconda Predictive Data Analytics – Modeling and Validation Anaconda Cloud Distributed Computing, Parallel Computing, and HPCC References Other Books You May Enjoy

Two examples of using packages

It is always a good idea to use examples to illustrate how useful or important it is to understand some closely related packages. The first example is extremely simple: generate a QR code for the CNN website. It has just two lines. Note that you need to run install.packages("qrcode") if the package is not preinstalled:

> library(qrcode) 
> qrcode_gen("https://www.cnn.com") 

The generated QR code is shown here. Users can use the QR scanner installed on their cell phone to go to the CNN website:

For the second example, we believe the best example for the researchers and users in the area of data science is an R package called rattle. If a user hasn't preinstalled the package, they can type the following line of R code:

>install.packages("rattle")

To launch the package, type the following two lines of R code...

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