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Part of Your World by Abby Jimenez USA
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Diary of a Wimpy Kid Cabin Fever by Jeff Kinney

Original price was: $9.48.Current price is: $7.48.

Binding: Paperback
Language: English
ISBN: 978-1-4197-0296-9
Reader’s Age: Kids 8–12 (Grades 3–6)
Ships Within: 5–10 Business Days
Author: Jeff Kinney
Release Date: January 31, 2013
Genre: Children & Young Adult

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Description

Diary of a Wimpy Kid: Cabin Fever – A Snowed-In, Laugh-Out-Loud Family Adventure by Jeff Kinney

About the Book

A blizzard traps the Heffley family indoors, and Greg’s holiday break turns into total chaos. Cabin Fever is the sixth book in the Diary of a Wimpy Kid series, and it captures what happens when there’s nowhere left to hide from your own family.

About the Author

Jeff Kinney is a #1 New York Times bestselling author known for the Diary of a Wimpy Kid series, which has sold over 300 million copies worldwide. He has won multiple Nickelodeon Kids’ Choice Awards and was named one of Time’s 100 Most Influential People. Kinney also created Poptropica and now co-owns a bookstore in New England.

Who Is This Book For?

This book is perfect for kids aged 8 to 12 who love funny stories, comic-style illustrations, and characters who feel real. It’s also a great pick for parents looking to turn a reluctant reader into an eager one. Do you know a kid who groans at the thought of reading? Cabin Fever might just change their mind.

Frequently Asked Questions (FAQs)

Is Cabin Fever a good starting point for new Wimpy Kid readers?
It works better as book 6, so new readers usually enjoy the series more starting from book 1. Longtime fans will love catching up with Greg here.

What age group is Diary of a Wimpy Kid: Cabin Fever best suited for?
It’s written for kids ages 8 to 12, though plenty of older kids and even adults enjoy the humor too.

Does Cabin Fever have illustrations like the other Wimpy Kid books?
Yes, it’s filled with the same hand-drawn, comic-style illustrations that make the entire Diary of a Wimpy Kid series easy and fun for kids to read.

Short Summary

Readers follow Greg as he navigates a house full of snowed-in relatives, a looming secret he's desperate to hide, and a holiday season that isn't going anything like he planned. The story blends everyday family humor with the kind of awkward, relatable moments that middle-grade readers instantly recognize. Kids walk away laughing while also picking up small lessons about honesty, family, and owning up to mistakes. It's a quick, engaging read that keeps young readers turning pages right to the end.

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Permanent Record By Edward Snowden USA
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The Crown of Gilded Bones by Jennifer L. Armentrout USA
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R for Data Science By Hadley Wickham

Original price was: $49.23.Current price is: $43.88.

Binding: Paperback
Language: English
Reader’s Age: Adults 18+ (Students, Professionals, Data Enthusiasts)
Ships Within: 5–10 Business Days
Author: Hadley Wickham & Garrett Grolemund
Release Date: January 31, 2017
Genre: Science & Technology

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Description

Master Data Science with R: The Complete Practical Guide to Data Analysis and Visualization

About the Book

R for Data Science is your complete roadmap to becoming proficient in data analysis using R and the powerful tidyverse collection of packages. This hands-on guide walks you through the entire data science workflow—from importing messy datasets to creating stunning visualizations and building predictive models. Whether you’re switching from Excel, learning your first programming language, or expanding your analytical toolkit, this book provides clear explanations and practical examples that make complex concepts accessible. You’ll gain the confidence to tackle real data challenges and communicate your findings effectively.

About the Author

Hadley Wickham is Chief Scientist at RStudio and a prominent figure in the R community, known for creating revolutionary packages like ggplot2, dplyr, and the tidyverse ecosystem. Garrett Grolemund is a Data Scientist and Master Instructor at RStudio with extensive experience teaching R to thousands of learners worldwide. Together, they’ve crafted a learning experience that reflects years of teaching data science and understanding what works for both beginners and experienced programmers transitioning to R.

Who Is This Book For?

This book is perfect for aspiring data analysts, business analysts, researchers, students, and professionals who want to harness the power of R for data-driven decision making. If you’re tired of spreadsheet limitations and ready to automate your analysis, visualize complex patterns, or build reproducible research workflows, this guide will take you there. No prior programming experience is required—just curiosity and a willingness to learn. Even experienced programmers from other languages will appreciate the practical approach to R’s unique data science capabilities.

Frequently Asked Questions (FAQs)

Q: Do I need programming experience to read R for Data Science?
No programming experience is necessary. The book starts with the basics and builds your skills progressively. If you can use a spreadsheet, you can learn R with this guide.

Q: What makes this R book different from other data science books?
This book focuses on the modern tidyverse approach, which makes R code more readable and intuitive. It emphasizes practical skills you’ll actually use in real projects rather than just theory.

Q: Can I use this book if I’m already familiar with Python for data science?
Absolutely. Many Python users learn R to access its superior statistical packages and visualization capabilities. The book’s clear structure makes transitioning smooth and highlights R’s unique strengths.

Q: What will I be able to do after completing this book?
You’ll be able to import and clean messy data, create professional-quality visualizations, perform exploratory analysis, build predictive models, and generate reproducible reports—all essential skills for modern data professionals.

Q: Is the paperback edition updated with the latest R packages?
The O’Reilly paperback covers the core tidyverse packages that remain stable and widely used. The concepts and workflow taught in the book apply to current and future versions of R and tidyverse.

Additional information
Weight870 g
Dimensions24 × 19 × 1 cm
Short Summary

You'll learn to import data from various sources, clean and transform it using dplyr, visualize patterns with ggplot2, and apply functional programming concepts to solve complex problems efficiently. The book covers exploratory data analysis, data wrangling techniques, working with different data types, and communicating your results through R Markdown. By the end, you'll have a complete skill set to handle the full data science pipeline and the confidence to explore advanced topics independently.

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