This new edition to the classic book by ggplot2 creator Hadley Wickham highlights compatibility with knitr and RStudio. ggplot2 is a data visualization package for R that helps users create data graphics, including those that are multi-layered, with ease. With ggplot2, it's easy to:produce handsome, publication-quality plots with automatic legends created from the plot specificationsuperimpose multiple layers (points, lines, maps, tiles, box plots) from different da...

Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverse—a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly.You'll learn how to import, transform, and visualize your data and communicate the results...

Advanced R helps you understand how R works at a fundamental level. It is designed for R programmers who want to deepen their understanding of the language, and programmers experienced in other languages who want to understand what makes R different and special.This book will teach you the foundations of R; three fundamental programming paradigms (functional, object-oriented, and metaprogramming); and powerful techniques for debugging and optimisingyour code...

This book offers solutions to all 284 exercises in Advanced R, Second Edition. All the solutions have been carefully documented and made to be as clear and accessible as possible. Working through the exercises and their solutions will give you a deeper understanding of a variety of programming challenges, many of which are relevant to everyday work. This will expand your set of tools on a technical and conceptual level. You will be able to transfer many of the spe...

Turn your R code into packages that others can easily install and use. With this fully updated edition, developers and data scientists will learn how to bundle reusable R functions, sample data, and documentation together by applying the package development philosophy used by the team that maintains the "tidyverse" suite of packages. In the process, you'll learn how to automate common development tasks using a set of R packages, including devtools, usethis, testthat, and roxygen2.A...

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...

Getting started with MongoDB is easy, but once you begin building applications with it, you'll face some complex issues. What are the tradeoffs between normalized and denormalized data? How do you handle replica set failure and failover? This collection of MongoDB tips, tricks, and hacks helps you resolve issues with everything from application design and implementation to data safety and monitoring.You get specific guidance in five topic areas directly from engineers at 10gen, the...

C# is one of the most popular programming languages in the world today. This book is the perfect introductory tutorial for those new to programming or those who wish to learn more about programming in C#. The thirteen chapters gently guide the newbie with plenty of examples, while it also offers clear explanations of C# programming concepts to those already familiar with the language. Author and Microsoft Specialist James Lombard, brings his twenty years of experience in the IT industry to...

Get to grips with the most popular Python packages that make data analysis possibleKey FeaturesExplore the tools you need to become a data analystDiscover practical examples to help you grasp data processing conceptsWalk through hierarchical indexing and grouping for data analysisBook DescriptionPython, a multi-paradigm programming language, has become the language of choice for data scientists for visualization, data analysi...

A practical book with plenty of screenshots to guide you through the many features of multilingual Drupal. A demo ecommerce site is provided if you want to practice on a sample site, although you can apply the techniques learnt in the book directly to your site too. Any Drupal users who know the basics of building a Drupal site and are familiar with the Drupal UI, will benefit from this book. No previous knowledge of localization or internationalization is required.

Filled with practical, step-by-step instructions and clear explanations for the most important and useful tasks. A practical guide with easy-to-follow recipes helping developers to quickly and effectively collect data from disparate sources such as databases, files, and applications, and turn the data into a unified format that is accessible and relevant to end users.Any IT professional working on PDI and is a valid support for either learning how to use the command line tools efficiently ...

Leverage the power of the popular Jupyter notebooks to simplify your data science tasks without any hassle Key FeaturesCreate and share interactive documents with live code, text and visualizationsIntegrate popular programming languages such as Python, R, Julia, Scala with JupyterDevelop your widgets and interactive dashboards with these innovative recipesBook DescriptionJupyter has garnered a strong interest in the data scie...