Race and racism remain an inescapable part of the lives of black people. Daily slights, often rooted in fears and misperceptions of the 'other', still damage lives. But does race matter as much as it used to? Many argue that the post-racial society is upon us and racism is no longer a block on opportunity - Kurt Barling doubts whether things are really that simple. Ever since, at the age of four, he wished for 'blue eyes and blond hair', skin colour has featured prominently as he, like so many others, navigated through a childhood and adolescence in which 'blackness' defined and dominated so much of social discourse. But despite the progress that has been made, he argues, the 'R' word is stubbornly resilient. In this powerful polemic, Barling tackles the paradoxes at the heart of anti-racism and asks whether, by adopting the language of the oppressor to liberate the oppressed, we are in fact paralysing ourselves within the false mythologies inherited from raciology, race and racism. Can society escape this so-called 'race-thinking' and re-imagine a Britain that is no longer 'Black' and 'White'? Is it yet possible to step out of our skins and leave the colour behind?

From a multiple Coretta Scott King Award-winning author comes the story of a brilliant girl that no one knows about because she cannot speak or write. "If there is one book teens and parents (and everyone else) should read this year, "Out of My Mind" should be it.O--"Denver Post."

More than six million students in the U.S. receive special education services and that number is on the rise. Frequent changes in educational philosophy and special-education law have made it increasingly difficult for parents to establish an appropriate education plan for their children. This book looks at the many ways that parents can advocate for their children. including how to: Communicate with teachers Get homework done Become involved at school Ensure their children are well rested Start a school day on the right foot Advocacy comes in all forms, and sometimes itÆs as simple as helping people get to know their child and family in a positive way. This useful book will serve as an invaluable tool for parents looking to establish the best educational plan for their children.

A sheltered white girl becomes aware of subtle racism in her family and friends, and takes action to fight the injustice.

R Markdown: The Definitive Guide is the first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and journal articles, while enjoying the simplicity of Markdown and the great power of R and other languages. In this book, you will learn Basics: Syntax of Markdown and R code chunks, how to generate figures and tables, and how to use other computing languages Built-in output formats of R Markdown: PDF/HTML/Word/RTF/Markdown documents and ioslides/Slidy/Beamer/PowerPoint presentations Extensions and applications: Dashboards, Tufte handouts, xaringan/reveal.js presentations, websites, books, journal articles, and interactive tutorials Advanced topics: Parameterized reports, HTML widgets, document templates, custom output formats, and Shiny documents. Yihui Xie is a software engineer at RStudio. He has authored and co-authored several R packages, including knitr, rmarkdown, bookdown, blogdown, shiny, xaringan, and animation. He has published three other books, Dynamic Documents with R and knitr, bookdown: Authoring Books and Technical Documents with R Markdown, and blogdown: Creating Websites with R Markdown. J.J. Allaire is the founder of RStudio and the creator of the RStudio IDE. He is an author of several packages in the R Markdown ecosystem including rmarkdown, flexdashboard, learnr, and radix. Garrett Grolemund is the co-author of R for Data Science and author of Hands-On Programming with R. He wrote the lubridate R package and works for RStudio as an advocate who trains engineers to do data science with R and the Tidyverse.

This volume examines private libraries and book ownership in seventeenth-century England, with particular focus on how libraries developed over this period and the social impact that they had.

bookdown: Authoring Books and Technical Documents with R Markdown presents a much easier way to write books and technical publications than traditional tools such as LaTeX and Word. The bookdown package inherits the simplicity of syntax and flexibility for data analysis from R Markdown, and extends R Markdown for technical writing, so that you can make better use of document elements such as figures, tables, equations, theorems, citations, and references. Similar to LaTeX, you can number and cross-reference these elements with bookdown. Your document can even include live examples so readers can interact with them while reading the book. The book can be rendered to multiple output formats, including LaTeX/PDF, HTML, EPUB, and Word, thus making it easy to put your documents online. The style and theme of these output formats can be customized. We used books and R primarily for examples in this book, but bookdown is not only for books or R. Most features introduced in this book also apply to other types of publications: journal papers, reports, dissertations, course handouts, study notes, and even novels. You do not have to use R, either. Other choices of computing languages include Python, C, C++, SQL, Bash, Stan, JavaScript, and so on, although R is best supported. You can also leave out computing, for example, to write a fiction. This book itself is an example of publishing with bookdown and R Markdown, and its source is fully available on GitHub.

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.