9798296139337 - modern r programming language: practical recipes for statistical computing and data science di rutherford, watson t. (5 risultati)
Lingua: Inglese
Editore: Amazon Digital Services LLC - Kdp, 2025
Serie: Libro 2 di 6 - Web programming,cloud computing and developing guide
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Amazon Digital Services LLC - Kdp, 2025
Serie: Libro 2 di 6 - Web programming,cloud computing and developing guide
- Brossura
Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Independently published, 2025
Serie: Libro 2 di 6 - Web programming,cloud computing and developing guide
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Da: California Books, Miami, FL, U.S.A.California Books
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EUR 33,50
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Condizione: New. Print on Demand.
Lingua: Inglese
Editore: Independently Published, 2025
Serie: Libro 2 di 6 - Web programming,cloud computing and developing guide
- Brossura
- Print on Demand
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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EUR 38,52
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Paperback. Condizione: new. Paperback. Why are you still struggling with statistical programming when R could make your life easier?Have you ever sat in front of your screen, overwhelmed by spreadsheets or half-working scripts, wondering if there's a better way to analyze your data, visualize trends, or build predictive models?…What if the problem isn't your data-but the tools you're using?Are you a student or researcher tired of copying outdated R code from blogs, only to get error after error?Do you feel like you're constantly Googling "how to merge two data frames in R" or "how to make a decent graph"? And when you finally get something to work, do you really understand why it worked-or are you just following a recipe without the ingredients list?What if there was a way to learn R that didn't just throw syntax at you but walked you through problems that real people face in data science every day?Imagine opening a book that doesn't just teach R, but talks to you. A guide that anticipates your confusion, answers your "what now?" questions, and gives you step-by-step, practical solutions to the kinds of problems you're actually trying to solve.That's exactly what you'll find in MODERN R PROGRAMMING LANGUAGE: Practical Recipes for Statistical Computing and Data Science.This isn't just another reference book. It's a problem solver. A companion. A code mentor.Written by Watson T. Rutherford, a data science educator and lifelong programmer, this book is packed with hundreds of real-world recipes to help you tackle everything from data cleaning and manipulation to statistical modeling, machine learning, and performance optimization. Every chapter is driven by questions you've probably asked yourself before: How do I import data from messy Excel files or APIs?Why isn't my regression model giving meaningful results?What's the best way to visualize multivariate data in R?How can I write cleaner, reusable, and testable R functions?Is there a "right" way to manage large projects or debug errors in RStudio?This book doesn't assume you're an expert. But it refuses to treat you like a beginner forever.Instead, it gives you the confidence to tackle problems in your own workflow using modern, idiomatic R. You'll explore both base R and the tidyverse, learn how to write robust code, and discover powerful packages for everything from modeling to markdown.Still relying on tutorials that leave out the "why"? Still stitching together scripts from Stack Overflow threads? Still feeling unsure about how things fit together?Then maybe it's time to stop patching your skills-and start building them with purpose.Whether you're: A student diving into your first data project, A professional switching from Excel or Python to R, A researcher ready to automate your analysis pipeline, orA curious analyst looking to finally understand what your code is doing.This book is your missing link between theory and practice. Between confusion and clarity. Between messy results and reproducible insights.Are you ready to stop guessing and start mastering R-one practical recipe at a time?Then don't just read another book. Start a conversation with your data. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Independently Published, 2025
Serie: Libro 2 di 6 - Web programming,cloud computing and developing guide
- Brossura
- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 39,68
EUR 43,21 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. Why are you still struggling with statistical programming when R could make your life easier?Have you ever sat in front of your screen, overwhelmed by spreadsheets or half-working scripts, wondering if there's a better way to analyze your data, visualize trends, or build predictive models?…What if the problem isn't your data-but the tools you're using?Are you a student or researcher tired of copying outdated R code from blogs, only to get error after error?Do you feel like you're constantly Googling "how to merge two data frames in R" or "how to make a decent graph"? And when you finally get something to work, do you really understand why it worked-or are you just following a recipe without the ingredients list?What if there was a way to learn R that didn't just throw syntax at you but walked you through problems that real people face in data science every day?Imagine opening a book that doesn't just teach R, but talks to you. A guide that anticipates your confusion, answers your "what now?" questions, and gives you step-by-step, practical solutions to the kinds of problems you're actually trying to solve.That's exactly what you'll find in MODERN R PROGRAMMING LANGUAGE: Practical Recipes for Statistical Computing and Data Science.This isn't just another reference book. It's a problem solver. A companion. A code mentor.Written by Watson T. Rutherford, a data science educator and lifelong programmer, this book is packed with hundreds of real-world recipes to help you tackle everything from data cleaning and manipulation to statistical modeling, machine learning, and performance optimization. Every chapter is driven by questions you've probably asked yourself before: How do I import data from messy Excel files or APIs?Why isn't my regression model giving meaningful results?What's the best way to visualize multivariate data in R?How can I write cleaner, reusable, and testable R functions?Is there a "right" way to manage large projects or debug errors in RStudio?This book doesn't assume you're an expert. But it refuses to treat you like a beginner forever.Instead, it gives you the confidence to tackle problems in your own workflow using modern, idiomatic R. You'll explore both base R and the tidyverse, learn how to write robust code, and discover powerful packages for everything from modeling to markdown.Still relying on tutorials that leave out the "why"? Still stitching together scripts from Stack Overflow threads? Still feeling unsure about how things fit together?Then maybe it's time to stop patching your skills-and start building them with purpose.Whether you're: A student diving into your first data project, A professional switching from Excel or Python to R, A researcher ready to automate your analysis pipeline, orA curious analyst looking to finally understand what your code is doing.This book is your missing link between theory and practice. Between confusion and clarity. Between messy results and reproducible insights.Are you ready to stop guessing and start mastering R-one practical recipe at a time?Then don't just read another book. Start a conversation with your data. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
