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Tall Tales
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R for Data Science
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Rashnu
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Gnome Alone
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House documents
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Text Mining with R
Chapter 7. Case Study : Comparing Twitter Archives; Getting the Data and Distribution of Tweets; Word Frequencies; Comparing Word Usage; Changes in Word Use; Favorites and Retweets; Summary; Chapter 8. Case Study : Mining NASA Metadata; How Data Is Organized at NASA; Wrangling and Tidying the Data; Some Initial Simple Exploration; Word Co-ocurrences and Correlations; Networks of Description and Title Words; Networks of Keywords; Calculating tf-idf for the Description Fields; What Is tf-idf for the Description Field Words?; Connecting Description Fields to Keywords; Topic Modeling.
A Confederacy of Dunces
One of the BBC's '100 Novels That Shaped Our World' 'My favourite book of all time... it stays with you long after you have read it - for your whole life, in fact' Billy Connolly A monument to sloth, rant and contempt, a behemoth of fat, flatulence and furious suspicion of anything modern - this is Ignatius J. Reilly of New Orleans, noble crusader against a world of dunces. The ordinary folk of New Orleans seem to think he is unhinged. Ignatius ignores them, heaving his vast bulk through the city's fleshpots in a noble crusade against vice, modernity and ignorance. But his momma has a nasty surprise in store for him: Ignatius must get a job. Undaunted, he uses his new-found employment to further his mission - and now he has a pirate costume and a hot-dog cart to do it with... Never published during his lifetime, John Kennedy Toole's hilarious satire, A Confederacy of Dunces is a Don Quixote for the modern age, and this Penguin Modern Classics edition includes a foreword by Walker Percy. 'A pungent work of slapstick, satire and intellectual incongruities ... it is nothing less than a grand comic fugue' The New York Times
Mastering Shiny
Master the Shiny web framework—and take your R skills to a whole new level. By letting you move beyond static reports, Shiny helps you create fully interactive web apps for data analyses. Users will be able to jump between datasets, explore different subsets or facets of the data, run models with parameter values of their choosing, customize visualizations, and much more. Hadley Wickham from RStudio shows data scientists, data analysts, statisticians, and scientific researchers with no knowledge of HTML, CSS, or JavaScript how to create rich web apps from R. This in-depth guide provides a learning path that you can follow with confidence, as you go from a Shiny beginner to an expert developer who can write large, complex apps that are maintainable and performant. Get started: Discover how the major pieces of a Shiny app fit together Put Shiny in action: Explore Shiny functionality with a focus on code samples, example apps, and useful techniques Master reactivity: Go deep into the theory and practice of reactive programming and examine reactive graph components Apply best practices: Examine useful techniques for making your Shiny apps work well in production
