using r for data analysis

Gravitational Interactions - (Smithsonian(r) Informational Text) by Alyxx Melendez (Paperback)

Predicting Earthquakes - (Smithsonian(r) Informational Text) by Kristy Stark (Paperback)

Minería de Datos - by Herbert Jones (Paperback)

Stem Careers - (Time(r) Informational Text) by Saskia Lacey (Paperback)

Statistics for Linguistics with R - (Mouton Textbook) 3rd Edition,Annotated by Stefan Th Gries (Paperback)

101 Things I Learned(r) in Engineering School - by John Kuprenas & Matthew Frederick (Hardcover)

Applied Psychometrics Using R Software - by Holmes Finch & Brian F French & Jason C Immekus & Maria Dolores Hidalgo Montesinos

The Essential Book of Useless Information - by Don Voorhees (Paperback)

Visualize This - 2nd Edition by Nathan Yau (Paperback)

Thoughtful Data - (Paperback)

Proc SQL - 3rd Edition by Kirk Paul Lafler (Paperback)

Generative AI in R - by Akansha Singh & Krishna Kant Singh (Paperback)

All about the Periodic Table - (Smithsonian(r) Informational Text) by Georgia Beth (Paperback)

HBR Guide to Data Analytics Basics for Managers - by Harvard Business Review

Deep Learning with R, Third Edition - by François Chollet & Tomasz Kalinowski (Paperback)

Entertaining physics problems - by Yakov Perelman (Paperback)

Deep Learning for Time Series Cookbook - by Vitor Cerqueira & Luís Roque (Paperback)

Understand, Manage, and Measure Cyber Risk(r) - 2nd Edition by Ryan Leirvik (Paperback)

Data Science Programming All-In-One for Dummies - by John Paul Mueller & Luca Massaron (Paperback)

Hands-On Data Visualization - by Jack Dougherty & Ilya Ilyankou (Paperback)

"So What Are You Going to Do with That?" - 3rd Edition by Susan Basalla (Paperback)

R Cookbook - 2nd Edition by Jd Long & Paul Teetor (Paperback)

97 Things Every Data Engineer Should Know - by Tobias Macey (Paperback)

R Programming for Actuarial Science - by Peter McQuire & Alfred Kume (Hardcover)