Data analysis
Peter J. Huber
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at 250 WPM3h 54m
The average reader, reading at a speed of 250 WPM, would take 3h 54m to read Data analysis.
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234
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Data analysis
Published
2011
Publisher
Wiley & Sons, Incorporated, John
Pages
234
ISBN-13
9781118018255
Description
"This book explores the many provocative questions concerning the fundamentals of data analysis. It is based on the time-tested experience of one of the gurus of the subject matter. Why should one study data analysis? How should it be taught? What techniques work best, and for whom? How valid are the results? How much data should be tested? Which machine languages should be used, if used at all? Emphasis on apprenticeship (through hands-on case studies) and anecdotes (through real-life applications) are the tools that Peter J. Huber uses in this volume. Concern with specific statistical techniques is not of immediate value; rather, questions of strategy - when to use which technique - are employed. Central to the discussion is an understanding of the significance of massive (or robust) data sets, the implementation of languages, and the use of models. Each is sprinkled with an ample number of examples and case studies. Personal practices, various pitfalls, and existing controversies are presented when applicable. The book serves as an excellent philosophical and historical companion to any present-day text in data analysis, robust statistics, data mining, statistical learning, or computational statistics"--Provided by publisher. "This book explores the many provocative questions concerning the fundamentals of data analysis"--
Subjects
Frequently Asked Questions
How many pages are in Data analysis?
This edition of Data analysis has approximately 234 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Data analysis?
For most readers, Data analysis typically takes between 4h 53m and 3h 15m to complete. This is based on the book's length of approximately 58,500 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 3h 54m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 8 days • Estimated word count: 58,500 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Data analysis?
The estimated word count for Data analysis is approximately 58,500 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Data analysis?
Data analysis was written by Peter J. Huber.
When was Data analysis published?
The publication date for this specific edition is 2011. The original work may have been published on a different date.