Each photo-illustrated book in the Let's Make Graphs series introduces new readers to a type of graph or graphing concept. Content focuses on explaining graphing concepts and encouraging readers to interpret graphs and create graphs of their own. The series is correlated to Common Core math curriculum for grades K-2, and to other national and state math standards. Simple text and fun and relevant examples engage readers in learning key graphing concepts, including reading graphs, using graphs to represent and analyze data, and making graphs. Five books in the series each introduce a single type of graph and offer examples, as well as an activity that invites readers to practice gathering and graphing data. The sixth book focuses on using graphs as tools for readers to solve story problems.
Graphics programmers aren't the only ones who need to be proficient with graphics. Web and applications programmers know that a dull web page can be quickly transformed into one that's interesting and lively with the use of well-planned graphics. And fortunately, you don't need the skills of a fulltime graphics programmer to use graphics effectively. From access counters and log report graphs to scientific plots and on-the-fly animated GIFs, graphics scripting is within the grasp of most web programmers. Using open source software, like Perl, you have the power to dynamically generate graphics based on user input and activity, easily manipulate graphics content, and optimize graphics for compression and quality.Geared toward Perl users and webmasters, Perl Graphics Programming focuses on open-source scripting programs that manipulate graphics files for use on the Web. The book demystifies the manipulation of graphics formats for newcomers to the Web with a practical, resource-like approach. With this book you'll learn to: Generate dynamic web graphics with charts, tables, and buttons Automate graphics tasks (thumbnails and borders) Create dynamics web documents (PDF, Postscript) Produce rich Internet experiences with Flash and SVG You'll begin with a tour of the most common web graphic file formats--PNG, JPEG, GIF, SWF, SVG, Postscript and PDF--then you'll explore the most powerful tools and Perl modules available for manipulating these graphics, such as GD, PerlMagick, and GIMP. Included in this part of the book is a thorough description of the Ming module for creating on-the-fly Flash files. Next, a "cookbook" section includes practical, all purpose recipes: GIF animation, generating images within a dynamic application, communicating between SWF front-end and Perl back-end, XSLT transformations, compression, and much more.Perl programmers naturally turn to Perl to tackle whatever challenge they have at hand, and graphics programming is no exception. Perl Graphics Programming provides all the tools you need to begin programming and designing graphics for the Web immediately. This book will change how you think about generating and manipulating graphics for the Web.
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!
This two-volume set on Mathematical Principles of the Internet provides a comprehensive overview of the mathematical principles of Internet engineering. The books do not aim to provide all of the mathematical foundations upon which the Internet is based. Instead, these cover only a partial panorama and the key principles. Volume 1 explores Internet engineering, while the supporting mathematics is covered in Volume 2. The chapters on mathematics complement those on the engineering episodes, and an effort has been made to make this work succinct, yet self-contained. Elements of information theory, algebraic coding theory, cryptography, Internet traffic, dynamics and control of Internet congestion, and queueing theory are discussed. In addition, stochastic networks, graph-theoretic algorithms, application of game theory to the Internet, Internet economics, data mining and knowledge discovery, and quantum computation, communication, and cryptography are also discussed. In order to study the structure and function of the Internet, only a basic knowledge of number theory, abstract algebra, matrices and determinants, graph theory, geometry, analysis, optimization theory, probability theory, and stochastic processes, is required. These mathematical disciplines are defined and developed in the books to the extent that is needed to develop and justify their application to Internet engineering.
"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com
This Level 2 guided reader teaches how to interpret and create line graphs. Students will develop word recognition and reading skills while learning about creating scales, plotting data points, and using line plots to represent a data set.