WonderFull by best-selling author Marty Machowski captivates children, inviting them to engage with the book of Psalms. Oliver and his grandfather read through the Psalms together, learning about God's love and praying for each other as the seasons change. Even when the leaves fall and Oliver's grandfather grows weaker, the Psalms strengthen ...

#1 NEW YORK TIMES BESTSELLER • Millions of people have fallen in love with Auggie Pullman, an ordinary boy with an extraordinary face—who shows us that kindness brings us together no matter how far apart we are. Read the book that inspired the Choose Kind movement, a major motion picture, and the critically acclaimed graphic novel White Bird. And don't miss R.J. Palacio's highly anticipated new novel, Pony, available now! I won't describe what I look like. Whatever you're thinking, it's probably worse. August Pullman was born with a facial difference that, up until now, has prevented him from going to a mainstream school. Starting 5th grade at Beecher Prep, he wants nothing more than to be treated as an ordinary kid—but his new classmates can’t get past Auggie’s extraordinary face. Beginning from Auggie’s point of view and expanding to include his classmates, his sister, her boyfriend, and others, the perspectives converge to form a portrait of one community’s struggle with empathy, compassion, and acceptance. In a world where bullying among young people is an epidemic, this is a refreshing new narrative full of heart and hope. R.J. Palacio has called her debut novel “a meditation on kindness” —indeed, every reader will come away with a greater appreciation for the simple courage of friendship. Auggie is a hero to root for, a diamond in the rough who proves that you can’t blend in when you were born to stand out.

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.