Fundamentals of Data Visualization by
Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options. This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization. Explore the basic concepts of color as a tool to highlight, distinguish, or represent a value Understand the importance of redundant coding to ensure you provide key information in multiple ways Use the book's visualizations directory, a graphical guide to commonly used types of data visualizations Get extensive examples of good and bad figures Learn how to use figures in a document or report and how employ them effectively to tell a compelling story
SQL for Data Analytics by
Take your first steps to become a fully qualified data analyst by learning how to explore large relational datasets Key Features Explore a variety of statistical techniques to analyze your data Integrate your SQL pipelines with other analytics technologies Perform advanced analytics such as geospatial and text analysis Book Description Understanding and finding patterns in data has become one of the most important ways to improve business decisions. If you know the basics of SQL, but don't know how to use it to gain the most effective business insights from data, this book is for you. SQL for Data Analytics helps you build the skills to move beyond basic SQL and instead learn to spot patterns and explain the logic hidden in data. You'll discover how to explore and understand data by identifying trends and unlocking deeper insights. You'll also gain experience working with different types of data in SQL, including time-series, geospatial, and text data. Finally, you'll learn how to increase your productivity with the help of profiling and automation. By the end of this book, you'll be able to use SQL in everyday business scenarios efficiently and look at data with the critical eye of an analytics professional. Please note: if you are having difficulty loading the sample datasets, there are new instructions uploaded to the GitHub repository. The link to the GitHub repository can be found in the book's preface. What you will learn Perform advanced statistical calculations using the WINDOW function Use SQL queries and subqueries to prepare data for analysis Import and export data using a text file and psql Apply special SQL clauses and functions to generate descriptive statistics Analyze special data types in SQL, including geospatial data and time data Optimize queries to improve their performance for faster results Debug queries that won't run Use SQL to summarize and identify patterns in data Who this book is for If you're a database engineer looking to transition into analytics, or a backend engineer who wants to develop a deeper understanding of production data, you will find this book useful. This book is also ideal for data scientists or business analysts who want to improve their data analytics skills using SQL. Knowledge of basic SQL and database concepts will aid in understanding the concepts covered in this book.
Analytical Skills for AI and Data Science by 
UX for XR by
Extending traditional digital platforms to the new frontier of extended reality (XR) requires taking into account what best practices, new concepts, and conventions have been established and what learnings can be brought forward from case studies involving industry leaders. By looking at practical examples from the field of handheld AR breakthroughs, virtual reality (VR) success stories and experimental interaction concept of pioneering XR platforms, you'll see how it's possible to map out a framework of user experience (UX) guidelines to close in on opportunities and challenges that lay ahead. This book defines, identifies, and analyzes UX practices for XR environments and reviews the techniques and tools for prototyping and designing XR user interactions. You'll approach the design for experiential state and spatial cognition, using established UX key performance indicators, while taking into account the social dynamics, emotional framework and wider industry context. UX design and strategy for the XR space is a new frontier, so UX for XR focuses on case studies and industry research to illustrate the relationship between UX design and the growth of immersive technologies. Practical examples will demonstrate how you should apply UX design principles using designing interactions in XR by identifying the importance of spaces, senses and storyboarding. What You'll Learn Explore the challenges and opportunities of designing for XR See how spatial interaction is revolutionizing human computer interaction Examine sensory input and interaction beyond the screen Work with 3D Interaction Design and build a strong 3D UX Understand VR and augmented reality essentials for emotion-rich user experiences Apply UX research techniques for the XR space Who This Book Is For This book is primarily for UX designers, consultants, and strategists; XR developers; and media professionals
Data Analytics Made Easy by 