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Author: Gary Chartrand
Publisher: Springer
ISBN: 3030168638
Category : Mathematics
Languages : en
Pages : 89
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Book Description
This book depicts graph labelings that have led to thought-provoking problems and conjectures. Problems and conjectures in graceful labelings, harmonious labelings, prime labelings, additive labelings, and zonal labelings are introduced with fundamentals, examples, and illustrations. A new labeling with a connection to the four color theorem is described to aid mathematicians to initiate new methods and techniques to study classical coloring problems from a new perspective. Researchers and graduate students interested in graph labelings will find the concepts and problems featured in this book valuable for finding new areas of research.
Author: Gary Chartrand
Publisher: Springer
ISBN: 3030168638
Category : Mathematics
Languages : en
Pages : 89
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Book Description
This book depicts graph labelings that have led to thought-provoking problems and conjectures. Problems and conjectures in graceful labelings, harmonious labelings, prime labelings, additive labelings, and zonal labelings are introduced with fundamentals, examples, and illustrations. A new labeling with a connection to the four color theorem is described to aid mathematicians to initiate new methods and techniques to study classical coloring problems from a new perspective. Researchers and graduate students interested in graph labelings will find the concepts and problems featured in this book valuable for finding new areas of research.
Author: Cole Nussbaumer Knaflic
Publisher: John Wiley & Sons
ISBN: 1119002265
Category : Mathematics
Languages : en
Pages : 288
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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!
Author: Winston Chang
Publisher: "O'Reilly Media, Inc."
ISBN: 1449316956
Category : Computers
Languages : en
Pages : 414
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Book Description
"Practical recipes for visualizing data"--Cover.
Author: Dave Paradi
Publisher:
ISBN: 9780988154919
Category :
Languages : en
Pages :
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Book Description
"This book contains a three step approach to help business professionals create effective presentation visuals. Step 1 is writing a headline that summarizes the message you want the audience to understand and remember from that slide. Step 2 is to select and create an effective visual for the slide. The book focuses on this step because corporate presenters have said they need the most help with this area. The different messages in business presentations are broken down into six categories. The 66 visuals shown are organized into 30 groups and sub-groups under the six categories. Each visual is explained, examples are shown, and tips for creating the visual are given. Step 3 is to focus the audience during the delivery of the slide by using callouts, building the slide piece by piece, and by organizing complex information."--
Author: Kieran Healy
Publisher: Princeton University Press
ISBN: 0691181624
Category : Social Science
Languages : en
Pages : 292
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Book Description
An accessible primer on how to create effective graphics from data This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way. Data Visualization builds the reader’s expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective “small multiple” plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible. Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings. Provides hands-on instruction using R and ggplot2 Shows how the “tidyverse” of data analysis tools makes working with R easier and more consistent Includes a library of data sets, code, and functions
Author: Tarek Azzam
Publisher: John Wiley & Sons
ISBN: 1118833546
Category : Education
Languages : en
Pages : 97
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Book Description
This issue delivers concrete suggestions for optimally using data visualization in evaluation, as well as suggestions for best practices in data visualization design. It focuses on specific quantitative and qualitative data visualization approaches that include data dashboards, graphic recording, and geographic information systems (GIS). Readers will get a step-by-step process for designing an effective data dashboard system for programs and organizations, and various suggestions to improve their utility. The next section illustrates the role that graphic recording can play in helping programs and evaluators understand and communicate the mission and impact that an intervention is having in a democratic and culturally competent way. The GIS section provides specific examples of how mapped data can be used to understand program implementation and effectiveness, and the influence that the environment has on these outcomes. Discusses best practices that inform and shape our data visualization design choices Highlights the best use of each tool/approach Provides suggestions for effective practice Discuss the strengths and limitations of each approach in evaluation practice This is the 140th volume of the Jossey-Bass quarterly report series New Directions for Evaluation, an official publication of the American Evaluation Association.
Author: Shawn Wallace
Publisher: "O'Reilly Media, Inc."
ISBN: 1449358314
Category : Computers
Languages : en
Pages : 481
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Book Description
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.
Author: Robert I. Kabacoff
Publisher: Simon and Schuster
ISBN: 1638353336
Category : Computers
Languages : en
Pages : 970
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Book Description
Summary R in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Focusing on practical solutions, the book offers a crash course in statistics and covers elegant methods for dealing with messy and incomplete data that are difficult to analyze using traditional methods. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on time series analysis, cluster analysis, and classification methodologies, including decision trees, random forests, and support vector machines. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Business pros and researchers thrive on data, and R speaks the language of data analysis. R is a powerful programming language for statistical computing. Unlike general-purpose tools, R provides thousands of modules for solving just about any data-crunching or presentation challenge you're likely to face. R runs on all important platforms and is used by thousands of major corporations and institutions worldwide. About the Book R in Action, Second Edition teaches you how to use the R language by presenting examples relevant to scientific, technical, and business developers. Focusing on practical solutions, the book offers a crash course in statistics, including elegant methods for dealing with messy and incomplete data. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on forecasting, data mining, and dynamic report writing. What's Inside Complete R language tutorial Using R to manage, analyze, and visualize data Techniques for debugging programs and creating packages OOP in R Over 160 graphs About the Author Dr. Rob Kabacoff is a seasoned researcher and teacher who specializes in data analysis. He also maintains the popular Quick-R website at statmethods.net. Table of Contents PART 1 GETTING STARTED Introduction to R Creating a dataset Getting started with graphs Basic data management Advanced data management PART 2 BASIC METHODS Basic graphs Basic statistics PART 3 INTERMEDIATE METHODS Regression Analysis of variance Power analysis Intermediate graphs Resampling statistics and bootstrapping PART 4 ADVANCED METHODS Generalized linear models Principal components and factor analysis Time series Cluster analysis Classification Advanced methods for missing data PART 5 EXPANDING YOUR SKILLS Advanced graphics with ggplot2 Advanced programming Creating a package Creating dynamic reports Advanced graphics with the lattice package available online only from manning.com/kabacoff2
Author: Jake VanderPlas
Publisher: "O'Reilly Media, Inc."
ISBN: 1491912138
Category : Computers
Languages : en
Pages : 743
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Book Description
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
Author: J. Lisy Bennet
Publisher: Infinite Study
ISBN:
Category : Mathematics
Languages : en
Pages : 12
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Book Description
Graph theory has applications in many areas of the computing, social and natural science. The theory is also intimately related to many branches of mathematics, including matrix theory, numerical analysis, probability, topology and combinatory. The fact is that graph theory serves as a mathematical for any system involving a binary relation.
