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245948176
R Programming for Data Analysis: Clean, Analyze, and Visualize Data for Beginners
Item #:
245948176
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- Do you want to learn R for data analysis but feel unsure how importing, cleaning, summarizing, visualizing, statistics, and reporting fit into one complete workflow?R Programming for Data Analysis is a practical, beginner-friendly guide to using R to clean, analyze, visualize, and report data with confidence. Written for beginners, spreadsheet users, students, career switchers, researchers, working professionals, and early analysts, this book teaches R through realistic data-analysis tasks rather than isolated commands.You will begin by setting up R and RStudio, running your first commands, creating projects, and understanding how scripts make analysis repeatable. From there, each chapter builds part of the complete analytical workflow: importing data, inspecting structure, cleaning values, reshaping tables, joining datasets, calculating summaries, exploring distributions, investigating relationships, applying introductory statistical methods, creating charts, and producing reproducible reports.Inside this practical guide, you will learn how to:• Install and configure R and RStudio• Run commands in the Console• Save work in R scripts• Create RStudio projectsThe book follows the same path a dependable analysis normally follows. You will define the question, acquire the data, inspect the structure, clean values, combine tables, calculate measures, create charts, communicate findings, and preserve the workflow so the work can be reviewed and repeated.The guided examples use practical scenarios from café sales, customer profiles, expense analysis, city transport records, e-commerce orders, survey responses, inventory and transaction records, customer support tickets, delivery-time performance, marketing activity, workplace training, air-quality measurements, energy-consumption trends, and monthly performance reporting.The capstone project brings the full workflow together. You will move from raw source files to a final analytical report by defining questions, creating a project structure, importing files, auditing data, cleaning tables, combining records, creating analytical variables, performing exploratory analysis, calculating summaries, investigating relationships, applying an introductory model, creating final visualizations, writing a Quarto report, validating results, and presenting findings responsibly.This book also teaches professional analytical habits from the beginning. You will learn to preserve raw data, use project-relative paths, check data types, record missing-value rules, validate joins, reconcile row counts and totals, report denominators, separate calculation from presentation, restart R before final execution, document limitations, and avoid trusting a result merely because the code ran.No previous programming experience is required. Basic familiarity with rows, columns, files, folders, arithmetic, and spreadsheet-style data is enough to begin. Basic statistical knowledge is helpful but not required, because the necessary concepts are introduced when they are needed.Whether you are a student, spreadsheet user, researcher, career switcher, business analyst, data analyst beginner, working professional responsible for reports, or programmer learning R for analysis, this book gives you a structured path into practical, reproducible data work.Stop cleaning data manually without a repeatable process. Learn how to use R to import, inspect, clean, combine, summarize, visualize, analyze, and report data through a workflow that can be reviewed, updated, and trusted.
| Publisher | Independently published |
| Publication date | July 21, 2026 |
| Language | English |
| Print length | 342 pages |
| ISBN-13 | 979-8188285043 |
| Item Weight | 1.29 pounds (590 grams) |
| Dimensions | 6.24 x 0.96 x 9.24 inches (15.8 x 2.4 x 23.5 cm) |
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R Programming for Data Analysis: Clean, Analyze, and Visualize Data for Beginners
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