Data Visualization and Exploration with R: A practical guide to using R, RStudio, and Tidyverse for data visualization, exploration, and data science applications

Today, data science is an indispensable tool for any organization, allowing for the analysis and optimization of decisions and strategy. R has become the preferred software for data science, thanks to its open source nature, simplicity, applicability to data analysis, and the abundance of libraries for any type of algorithm. This book will allow the student to learn, in detail, the fundamentals of the R language and additionally master some of the most efficient libraries for data visualization in chart, graph, and map formats. The reader will learn the language and applications through examples and practice. No prior programming skills are required. We begin with the installation and configuration of the R environment through RStudio. As you progress through the exercises in this hands-on book you'll become thoroughly acquainted with R's features and the popular tidyverse package. With this book, you will learn about the basic concepts of R programming, work efficiently with graphs, charts, and maps, and create publication-ready documents using real world data. The detailed step-by-step instructions will enable you to get a clean set of data, produce engaging visualizations, and create reports for the results. The later part of the books covers attribute and spatial queries, and the creation of selection sets for feature classes and tables along with the arcpy data access module for insert, updating, and deleting data from feature classes and tables. Finally, we'll close the book by discovering how you can create your own custom geoprocessing tools using custom toolboxes with ArcGIS Pro and Python.