using r for data analysis

User Research - 2nd Edition by Stephanie Marsh (Paperback)

Introduction to Meta-Analysis - 2nd Edition by Borenstein (Hardcover)

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

Linear Algebra, Data Science, and Machine Learning - (Springer Undergraduate Texts in Mathematics and Technology) by Jeff Calder & Peter J Olver

Infodynamics, Economics, Energy, and Life - by Klaus Jaffe (Hardcover)

Exploring Geoai - by Ismael Chivite & Nicholas Giner & Craig Carpenter

Data Analysis for the Geosciences - (Agu Advanced Textbooks) by Michael W Liemohn (Paperback)

Linear Algebra and Optimization for Machine Learning - 2nd Edition by Charu C Aggarwal (Hardcover)

Artificial Intelligence for Multisource Geospatial Information - (Hardcover)

The Data Model Resource Book - by Len Silverston (Paperback)

The Everything Essential Russian Book - (Everything(r)) by Yulia Stakhnevich (Paperback)

Principles of Brain Dynamics - (Computational Neuroscience) by Mikhail I Rabinovich & Karl J Friston & Pablo Varona (Paperback)

Regression Modeling Strategies - (Springer Statistics) 2nd Edition by Frank E Harrell Jr (Paperback)

An Introduction to Statistical Learning - (Springer Texts in Statistics) 2nd Edition

Managing Our World - (Applying GIS) by Geoff Wade & Matt Artz (Paperback)

Thinking with Data - by Max Shron (Paperback)

The ESRI Guide to GIS Analysis, Volume 1 - 2nd Edition by Andy Mitchell

Data Science First - by John Hawkins (Paperback)

The ESRI Guide to GIS Analysis, Volume 2 - 2nd Edition by Andy Mitchell & Lauren Scott Griffin

How to Use Multivariate Statistics in Descriptive Research - by Gary J Conti (Paperback)

Data Visualization with Excel Dashboards and Reports - by Dick Kusleika (Paperback)

Grokking Data Structures - by Marcello La Rocca (Paperback)

Statistics Every Programmer Needs - by Gary Sutton (Paperback)

Hands-On Data Structures and Algorithms with Python - Third Edition - 3rd Edition by Basant Agarwal (Paperback)