Maps, Charts, Graphs & Diagrams


Book Description

With this book, teachers can give students many hands-on opportunities to practice using these visual tools in a meaningful context. Students will learn how to read different types of maps, charts, graphs, and diagrams, as well as how to construct their own. They will learn which visual tools are best for presenting specific types of information.--Page 3.




Storytelling with Data


Book Description

Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!




Graphs and Charts Activity Book


Book Description

Discover all kinds of graphs and charts and how to use them in this entertaining activity book. The activities encourage children to collect and analyse data, from tallying the number of animals spotted on safari, to displaying types of weather on a bar chart and sorting animals into a Venn diagram. Quizzes after each section let children test what they've learned.




SAS Programming for Elementary Statistics


Book Description

SAS for Elementary Statistics: Getting Started provides an introduction to SAS programming for those who have experience with introductory statistical methods. It is also an excellent programming supplement for an introductory statistics course. It is appropriate for the beginning programmer with no prior SAS experience and the researcher who would like to refresh SAS programming skills. These lessons are those the author has found successful in the classroom. Strengths of this book include the following: Examples are easy to follow and understand. Chapters have user-friendly text and objectives. Each chapter has clear objectives with SAS syntax and output results given. Objectives are stated as tasks with detailed step-by-step instructions. Programming notes based on the author's experience occur throughout the book. The author assists the reader in making sense of the error messages in the SAS log. Brief reviews of statistical methods are included in chapters accompanying the corresponding SAS procedures. Easy transition from user terminology to SAS terminology is provided. The ability to select or suppress results using Output Delivery System (ODS) is made simple. Reading and writing to external files are among the most used SAS skills, and these concepts are clearly presented. The IMPORT and EXPORT procedures and ODS are used to accomplish these tasks. Statistical Graphics procedures and SAS/GRAPH can be quite challenging to learn, but these are presented in a very achievable format. Basic graph construction is first introduced then readers learn how to add color, pattern, and other enhancements to graphics images.




Lines, Bars and Circles


Book Description

Born in Scotland over 250 years ago, William Playfair was a dreamer who ñsaw the world differently from other people.î Unfortunately, this skill didnÍt easily translate into the fame and fortune he hoped for. In fact, it often got him into trouble with family, friends and bosses. But WillÍs innovative vision did inspire a big idea that would set him apart: he turned numbers into pictures by creating line graphs, bar graphs and pie charts! Numbers as pictures? ThereÍs an idea thatÍs off the charts!




The Complete Marching Band Resource Manual


Book Description

The Complete Marching Band Resource Manual provides the first serious guidebook for the intricate art of directing high school or college marching bands. Wayne Bailey presents both the fundamentals and the advanced techniques that are essential for successful leadership of a marching band: music instruction, choreography, and band management. In this second edition, Bailey provides band instructors with even more diagrams as well as information on computer charting techniques. The book is divided into four units. The first provides the fundamentals of the marching band and its terminology, marching forms and movements, selection and arrangement of music, charting of formations, and ways to arrange a show. Unit two covers music instruction, improvement of marching and memorization skills, warmups, methods for building endurance and power, and ways to organize band rehearsals. The third unit provides instruction in choosing props and structuring auxiliary units, as well as guidance in tuning and staging the marching percussion line. The fourth unit is a collection of resource ideas, including one hundred and twenty drill charts and three musical arrangements for analysis.




A Guide for Beginning Elementary Teachers


Book Description

Confused about how to start on your journey as an educator? This ultimate guide to getting hired and staying inspired is a must-purchase for any beginning elementary school teacher. Donna M. Donoghue and her coauthors have done the legwork for you and provide great tips, strategies, and tactics for getting your foot in the door and beginning a successful career as an elementary school teacher. Included here is information that every first-time teacher needs, including how to find the right job for you, how to start the school year successfully, and how to effectively conference and work with parents. There are also tips on planning, discipline and management, and meeting current curriculum standards.




Charts, Tables and Graphs


Book Description

Each page includes an attention-grabbing graph, chart, or table with questions to help kids read and interpret the data. Includes bar and line graphs, circle graphs, schedules, pictographs, and lots more. A perfect way to build on kids' interests and prepare them for standardized tests.




Graph Representation Learning


Book Description

Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs—a nascent but quickly growing subset of graph representation learning.