How Long to Read A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R

How Long Does it Take to Read A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R?

It takes the average reader 5 hours and 14 minutes to read A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R by Samuel E. Buttrey

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

Description

The only how-to guide offering a unified, systemic approach to acquiring, cleaning, and managing data in R Every experienced practitioner knows that preparing data for modeling is a painstaking, time-consuming process. Adding to the difficulty is that most modelers learn the steps involved in cleaning and managing data piecemeal, often on the fly, or they develop their own ad hoc methods. This book helps simplify their task by providing a unified, systematic approach to acquiring, modeling, manipulating, cleaning, and maintaining data in R. Starting with the very basics, data scientists Samuel E. Buttrey and Lyn R. Whitaker walk readers through the entire process. From what data looks like and what it should look like, they progress through all the steps involved in getting data ready for modeling. They describe best practices for acquiring data from numerous sources; explore key issues in data handling, including text/regular expressions, big data, parallel processing, merging, matching, and checking for duplicates; and outline highly efficient and reliable techniques for documenting data and recordkeeping, including audit trails, getting data back out of R, and more. The only single-source guide to R data and its preparation, it describes best practices for acquiring, manipulating, cleaning, and maintaining data Begins with the basics and walks readers through all the steps necessary to get data ready for the modeling process Provides expert guidance on how to document the processes described so that they are reproducible Written by seasoned professionals, it provides both introductory and advanced techniques Features case studies with supporting data and R code, hosted on a companion website A Data Scientist's Guide to Acquiring, Cleaning and Managing Data in R is a valuable working resource/bench manual for practitioners who collect and analyze data, lab scientists and research associates of all levels of experience, and graduate-level data mining students.

How long is A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R?

A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R by Samuel E. Buttrey is 312 pages long, and a total of 78,624 words.

This makes it 105% the length of the average book. It also has 96% more words than the average book.

How Long Does it Take to Read A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R Aloud?

The average oral reading speed is 183 words per minute. This means it takes 7 hours and 9 minutes to read A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R aloud.

What Reading Level is A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R?

A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in 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 A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R?

A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R by Samuel E. Buttrey 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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