Author: Erling Freeberg
Publisher: Teacher Created Resources
ISBN: 155734096X
Category : Art
Languages : en
Pages : 50
Book Description
A book created to give students the practic they need in a fun format.
Challenging Graph Art
Author: Erling Freeberg
Publisher: Teacher Created Resources
ISBN: 155734096X
Category : Art
Languages : en
Pages : 50
Book Description
A book created to give students the practic they need in a fun format.
Publisher: Teacher Created Resources
ISBN: 155734096X
Category : Art
Languages : en
Pages : 50
Book Description
A book created to give students the practic they need in a fun format.
Holiday Graph Art
Author: Erling Freeberg
Publisher: Teacher Created Resources
ISBN: 1557340935
Category : Art
Languages : en
Pages : 50
Book Description
This graph art activity book is a compilation of holiday pictures which are designed to fit graph paper squares. The child colors in the squares on graph paper according to the direction sheet, and a mystery picture appears.
Publisher: Teacher Created Resources
ISBN: 1557340935
Category : Art
Languages : en
Pages : 50
Book Description
This graph art activity book is a compilation of holiday pictures which are designed to fit graph paper squares. The child colors in the squares on graph paper according to the direction sheet, and a mystery picture appears.
Simple Graph Art
Author: Erling Freeberg
Publisher: Teacher Created Resources
ISBN: 1557340951
Category : Art
Languages : en
Pages : 50
Book Description
Publisher: Teacher Created Resources
ISBN: 1557340951
Category : Art
Languages : en
Pages : 50
Book Description
Storytelling with Data
Author: Cole Nussbaumer Knaflic
Publisher: John Wiley & Sons
ISBN: 1119002265
Category : Mathematics
Languages : en
Pages : 284
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!
Publisher: John Wiley & Sons
ISBN: 1119002265
Category : Mathematics
Languages : en
Pages : 284
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!
Graph Representation Learning
Author: William L. William L. Hamilton
Publisher: Springer Nature
ISBN: 3031015886
Category : Computers
Languages : en
Pages : 141
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.
Publisher: Springer Nature
ISBN: 3031015886
Category : Computers
Languages : en
Pages : 141
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.
The Great Graph Contest
Author: Loreen Leedy
Publisher: National Geographic Books
ISBN: 0823420299
Category : Juvenile Nonfiction
Languages : en
Pages : 0
Book Description
Learn everything about graphs, charts, and how to organize information in this fun picture book introduction. Follow two comical creatures as they go graph-crazy! Gonk the frog and his friend Chester have all kinds of questions-- do more of their friends like mud, or not? Who has the biggest feet? What color butterfly is most common? In order to answer these questions, the two friends make all kinds of charts-- and so can you! This funny look at graphs and charts introduces several major ways of organizing information-- bar graphs, pie charts, Venn diagrams, and more. With concrete, easy-to-understand examples and bright, cartoonish illustrations, The Great Graph Contest is a kid-friendly introduction to the basics of data visualization that will have you itching to make your own graphs! An author's note expands on the different kinds of charts pictured in the story, and instructions on making your own graphs and charts are included.
Publisher: National Geographic Books
ISBN: 0823420299
Category : Juvenile Nonfiction
Languages : en
Pages : 0
Book Description
Learn everything about graphs, charts, and how to organize information in this fun picture book introduction. Follow two comical creatures as they go graph-crazy! Gonk the frog and his friend Chester have all kinds of questions-- do more of their friends like mud, or not? Who has the biggest feet? What color butterfly is most common? In order to answer these questions, the two friends make all kinds of charts-- and so can you! This funny look at graphs and charts introduces several major ways of organizing information-- bar graphs, pie charts, Venn diagrams, and more. With concrete, easy-to-understand examples and bright, cartoonish illustrations, The Great Graph Contest is a kid-friendly introduction to the basics of data visualization that will have you itching to make your own graphs! An author's note expands on the different kinds of charts pictured in the story, and instructions on making your own graphs and charts are included.
Challenging Graph Art
Author: Erling Freeberg
Publisher:
ISBN:
Category : Creative activities and seat work
Languages : en
Pages : 0
Book Description
Publisher:
ISBN:
Category : Creative activities and seat work
Languages : en
Pages : 0
Book Description
Super Graphic
Author: Tim Leong
Publisher: Chronicle Books
ISBN: 1452135274
Category : Art
Languages : en
Pages : 196
Book Description
The comic book universe is adventurous, mystifying, and filled with heroes, villains, and cosplaying Comic-Con attendees. This book by one of Wired magazine's art directors traverses the graphic world through a collection of pie charts, bar graphs, timelines, scatter plots, and more. Super Graphic offers readers a unique look at the intricate and sometimes contradictory storylines that weave their way through comic books, and shares advice for navigating the pages of some of the most popular, longest-running, and best-loved comics and graphic novels out there. From a colorful breakdown of the DC Comics reader demographic to a witty Venn diagram of superhero comic tropes and a Chris Ware sadness scale, this book charts the most arbitrary and monumental characters, moments, and equipment of the wide world of comics. Plus, this is the fixed format version, which includes high-resolution images.
Publisher: Chronicle Books
ISBN: 1452135274
Category : Art
Languages : en
Pages : 196
Book Description
The comic book universe is adventurous, mystifying, and filled with heroes, villains, and cosplaying Comic-Con attendees. This book by one of Wired magazine's art directors traverses the graphic world through a collection of pie charts, bar graphs, timelines, scatter plots, and more. Super Graphic offers readers a unique look at the intricate and sometimes contradictory storylines that weave their way through comic books, and shares advice for navigating the pages of some of the most popular, longest-running, and best-loved comics and graphic novels out there. From a colorful breakdown of the DC Comics reader demographic to a witty Venn diagram of superhero comic tropes and a Chris Ware sadness scale, this book charts the most arbitrary and monumental characters, moments, and equipment of the wide world of comics. Plus, this is the fixed format version, which includes high-resolution images.
Introduction to Graph Theory
Author: Richard J. Trudeau
Publisher: Courier Corporation
ISBN: 0486318664
Category : Mathematics
Languages : en
Pages : 242
Book Description
Aimed at "the mathematically traumatized," this text offers nontechnical coverage of graph theory, with exercises. Discusses planar graphs, Euler's formula, Platonic graphs, coloring, the genus of a graph, Euler walks, Hamilton walks, more. 1976 edition.
Publisher: Courier Corporation
ISBN: 0486318664
Category : Mathematics
Languages : en
Pages : 242
Book Description
Aimed at "the mathematically traumatized," this text offers nontechnical coverage of graph theory, with exercises. Discusses planar graphs, Euler's formula, Platonic graphs, coloring, the genus of a graph, Euler walks, Hamilton walks, more. 1976 edition.
Let's Make a Picture Graph
Author: Robin Nelson
Publisher: Lerner Publications ™
ISBN: 154150609X
Category : Juvenile Nonfiction
Languages : en
Pages : 25
Book Description
Dan, Emma, and Ron want to compare how many apples they picked. Look at the picture graph to tell who picked the most.
Publisher: Lerner Publications ™
ISBN: 154150609X
Category : Juvenile Nonfiction
Languages : en
Pages : 25
Book Description
Dan, Emma, and Ron want to compare how many apples they picked. Look at the picture graph to tell who picked the most.