{"product_id":"data-science-with-r-for-garrett-hawthorne-9798185777008","title":"Data Science With R for Absolute Beginners: Tidyverse, ggplot2, and Statistical Modeling in R","description":"\u003cb\u003e\"I don't know R\" shouldn't be the thing standing between you and your research, your job, or your degree. This book fixes that.\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eMost R books are written for statisticians who already think in formulas and matrix notation, opening with terms like \"vectorized operation\" before showing a single real, runnable line of code. \u003cb\u003eData Science with R\u003c\/b\u003e takes the opposite approach: every concept is introduced because you'll actually use it, illustrated with real, working code that produces a genuine result you can see immediately. \u003cp\u003e\u003c\/p\u003eThis is a true data science book built around R as it's actually used in 2026 - the tidyverse, ggplot2, and real statistical modeling - not an abstract statistics textbook that happens to use R as its calculator. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eWhat You'll Actually Learn\u003c\/b\u003e\u003cul\u003e\n\u003cbr\u003e\u003cli\u003eR fundamentals - vectors, data types, control flow, and functions\u003c\/li\u003e\n\u003cli\u003eData frames, R's core data structure, in genuine depth\u003c\/li\u003e\n\u003cli\u003eData cleaning with dplyr and reshaping with tidyr\u003c\/li\u003e\n\u003cli\u003eString manipulation and working with dates\u003c\/li\u003e\n\u003cli\u003eData visualization with ggplot2 - two full chapters, building real skill, not just syntax\u003c\/li\u003e\n\u003cli\u003eDescriptive statistics, probability distributions, and hypothesis testing\u003c\/li\u003e\n\u003cli\u003eLinear regression modeling in R\u003c\/li\u003e\n\u003cli\u003eR Markdown for genuine, shareable, professional reporting\u003c\/li\u003e\n\u003cli\u003eA complete capstone - a real R data analysis project, start to finish\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003c\/ul\u003e\u003cb\u003eWhy This Book Is Different\u003c\/b\u003e\u003cul\u003e\n\u003cbr\u003e\u003cli\u003e\n\u003cb\u003eNo prior R experience assumed\u003c\/b\u003e - if you can build a spreadsheet formula, you can start here.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eGenuinely for beginners\u003c\/b\u003e at statistics too - Chapters 12 through 14 teach modeling at a true beginner level, not a graduate-statistics one.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003ePairs naturally with Python\u003c\/b\u003e if you already know it - understand precisely where and why a real team reaches for R over Python.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eFull exercise solutions\u003c\/b\u003e across every chapter.\u003c\/li\u003e\n\u003cbr\u003e \u003c\/ul\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eWritten for complete beginners to R - researchers, public health and economics professionals, social scientists, and students in fields where R is the assigned or expected standard. You're exactly the right reader if every R resource you've tried jumped straight into statistical theory without showing you why it matters, if you want to understand the models and charts in research papers instead of treating them as a black box, or if you already know Python and want a genuine second tool in your kit. \u003cp\u003e\u003c\/p\u003eThis book is not written for readers already fluent in R looking for an advanced statistical reference - it's a genuine, patient, complete on-ramp. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eWhat You'll Be Able to Do\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eBy the final page, you'll confidently import and clean real data, build publication-quality visualizations with ggplot2, run and interpret hypothesis tests, fit a linear regression model, and produce a polished, shareable analysis report - entirely in R. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eScroll up and start your R journey today.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Garrett Hawthorne\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798185777008\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 07\/05\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 236\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.92lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.00w x 0.50d","brand":"Garrett Hawthorne","offers":[{"title":"Paperback","offer_id":48997892391167,"sku":"9798185777008","price":15.99,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/data-science-with-r-for-garrett-hawthorne-9798185777008","provider":"WR Book House","version":"1.0","type":"link"}