How Long to Read XML and Web Technologies for Data Sciences with R

How Long Does it Take to Read XML and Web Technologies for Data Sciences with R?

It takes the average reader 11 hours and 35 minutes to read XML and Web Technologies for Data Sciences with R by Deborah Nolan

Assuming a reading speed of 250 words per minute. Learn more

Description

Web technologies are increasingly relevant to scientists working with data, for both accessing data and creating rich dynamic and interactive displays. The XML and JSON data formats are widely used in Web services, regular Web pages and JavaScript code, and visualization formats such as SVG and KML for Google Earth and Google Maps. In addition, scientists use HTTP and other network protocols to scrape data from Web pages, access REST and SOAP Web Services, and interact with NoSQL databases and text search applications. This book provides a practical hands-on introduction to these technologies, including high-level functions the authors have developed for data scientists. It describes strategies and approaches for extracting data from HTML, XML, and JSON formats and how to programmatically access data from the Web. Along with these general skills, the authors illustrate several applications that are relevant to data scientists, such as reading and writing spreadsheet documents both locally and via Google Docs, creating interactive and dynamic visualizations, displaying spatial-temporal displays with Google Earth, and generating code from descriptions of data structures to read and write data. These topics demonstrate the rich possibilities and opportunities to do new things with these modern technologies. The book contains many examples and case-studies that readers can use directly and adapt to their own work. The authors have focused on the integration of these technologies with the R statistical computing environment. However, the ideas and skills presented here are more general, and statisticians who use other computing environments will also find them relevant to their work. Deborah Nolan is Professor of Statistics at University of California, Berkeley. Duncan Temple Lang is Associate Professor of Statistics at University of California, Davis and has been a member of both the S and R development teams.

How long is XML and Web Technologies for Data Sciences with R?

XML and Web Technologies for Data Sciences with R by Deborah Nolan is 677 pages long, and a total of 173,989 words.

This makes it 228% the length of the average book. It also has 213% more words than the average book.

How Long Does it Take to Read XML and Web Technologies for Data Sciences with R Aloud?

The average oral reading speed is 183 words per minute. This means it takes 15 hours and 50 minutes to read XML and Web Technologies for Data Sciences with R aloud.

What Reading Level is XML and Web Technologies for Data Sciences with R?

XML and Web Technologies for Data Sciences with R is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy XML and Web Technologies for Data Sciences with R?

XML and Web Technologies for Data Sciences with R by Deborah Nolan is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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