Modern Data Science with R

Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton

• Editorial: Chapman and Hall/CRC
• Año: 2017
• ISBN:
  9781498724586
• Edición: 1
• Categoría: Mathematics
• Categoría: Probability & Statistics

Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling statistical questions.

Contemporary data science requires a tight integration of knowledge from statistics, computer science, mathematics, and a domain of application. This book will help readers with some background in statistics and modest prior experience with coding develop and practice the appropriate skills to tackle complex data science projects. The book features a number of exercises and has a flexible organization conducive to teaching a variety of semester courses.

Indices

Separate indices are provided for subject (concept or task) and R command. References to the examples are denoted in italics.

Subject index

@ operator, 190

140 character limit, 370

1960s, 367

“A Boy Named Sue”, 101

A/B testing, 5, 162

Aadam, 102

Aaron, Hank, 82

access

databases, 492

elements, 427

variables, 449

accidental patterns, 149

accountability, 131

ACM, 143

actors, 382, 386, 387

actuarial tables, 49

add circles, 349

add rownames, 181

additional factor, 11

additional factors, 161

adjacency matrix, 395, 396

administration, database, 301

Adobe Illustrator, 254

Advanced R, 104, 439

adversarial system, 140

advertisers, 390

aesthetic, 33

fill, 34

graphical, 34, 387

multiple, 34

Africa, 324

afternoon, 160

age, 196

aggregating, 70, 181, 275

airline delays, see flight delays

airline route maps, 345

airport, 150, 346

codes, 282

Reagan National, 285, 308

Akten, Memo, 28

Alaska, 287, 350

Albers projection, 324

Albert

Jim, xxvi, 88

Réka, 380

Alderson, Sandy, 77

algorithmic thinking, 3, 443, 453

alias

table, 283

alive, 49

Allaire, J.J., xxvi

Alon, Noga, 382

alpha level, 166

Altavista, 390

alter database, 303

ALTER statement, see SQL

Amazon, 261, 401

Web Services, 412

ambient temperature, 24

American Airlin...