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Graphing Data


Graphing Data
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Dynamic Graphics Statistics


Dynamic Graphics Statistics
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Author : Cleveland
language : en
Publisher: CRC Press
Release Date : 1988-07-08

Dynamic Graphics Statistics written by Cleveland and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988-07-08 with Mathematics categories.


The essential characteristic of a dynamic graphical method is the direct manipulation of elements of a graph on a computer screen, which in high-performance implementations, the elements change virtually instantaneously on the screen. This book contains a collection of papers about dynamic graphics dating from the late 1960s to 1988. Although technology has advanced considerably, the fundamental ideas about basic graphical principles and data-analytic goals are still relevant today.



Graphing Data With R


Graphing Data With R
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Author : John Jay Hilfiger
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2015-10-19

Graphing Data With R written by John Jay Hilfiger and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-19 with Computers categories.


It’s much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many other fields. You’ll learn methods for highlighting important relationships and trends, reducing data to simpler forms, and emphasizing key numbers at a glance. Anyone who wants to analyze data will find something useful here—even if you don’t have a background in mathematics, statistics, or computer programming. If you want to examine data related to your work, this book is the ideal way to start. Get started with R by learning basic commands Build single variable graphs, such as dot and pie charts, box plots, and histograms Explore the relationship between two quantitative variables with scatter plots, high-density plots, and other techniques Use scatterplot matrices, 3D plots, clustering, heat maps, and other graphs to visualize relationships among three or more variables



Graphing Data


Graphing Data
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Author : Gary T. Henry
language : en
Publisher: SAGE Publications, Incorporated
Release Date : 1995

Graphing Data written by Gary T. Henry and has been published by SAGE Publications, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Mathematics categories.


Includes bibliographical references and index.



Graphing Statistics Data


Graphing Statistics Data
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Author : Anders Wallgren
language : en
Publisher: SAGE
Release Date : 1996-06-25

Graphing Statistics Data written by Anders Wallgren and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-06-25 with Mathematics categories.


This book introduces the technique and art of producing good charts. Carefully written with many examples and illustrations, the book begins with an introduction to the building blocks of charts (axes, scales and patterns) and then describes each step involved in creating effective and easy-to-read charts.



Gr Ndliche Vorstellung Des Unverantwortlichen Unfugs Der Beiden Von Selbst Gebackenen P Bsten Joh Nicamp Und A Tiedler Knopf


Gr Ndliche Vorstellung Des Unverantwortlichen Unfugs Der Beiden Von Selbst Gebackenen P Bsten Joh Nicamp Und A Tiedler Knopf
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Author :
language : en
Publisher:
Release Date : 1706

Gr Ndliche Vorstellung Des Unverantwortlichen Unfugs Der Beiden Von Selbst Gebackenen P Bsten Joh Nicamp Und A Tiedler Knopf written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1706 with categories.




Data Graphing And Statistics Smarts


Data Graphing And Statistics Smarts
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Author : Rebecca Wingard-Nelson
language : en
Publisher: Enslow Publishers, Inc.
Release Date : 2012-09

Data Graphing And Statistics Smarts written by Rebecca Wingard-Nelson and has been published by Enslow Publishers, Inc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09 with Juvenile Nonfiction categories.


Are you having trouble with graphs? Do you wish someone could explain data, graphing, or statistics to you in a clear, simple way? From ratios and line plots to percentiles and sampling, this book takes a step-by-step approach to teaching data, graphing, and statistics concepts. This book is designed for students to use alone or with a tutor or parent, provides clear lessons with easy-to-learn techniques and plenty of examples. Whether you are looking to learn this information for the first time, on your own or with a tutor, or you would like to review your skills, this book will be a great choice.



Storytelling With Data


Storytelling With Data
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Author : Cole Nussbaumer Knaflic
language : en
Publisher: John Wiley & Sons
Release Date : 2015-10-09

Storytelling With Data written by Cole Nussbaumer Knaflic and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-09 with Mathematics categories.


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!



The Practitioner S Guide To Graph Data


The Practitioner S Guide To Graph Data
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Author : Denise Gosnell
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2020-03-20

The Practitioner S Guide To Graph Data written by Denise Gosnell and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-20 with Computers categories.


Graph data closes the gap between the way humans and computers view the world. While computers rely on static rows and columns of data, people navigate and reason about life through relationships. This practical guide demonstrates how graph data brings these two approaches together. By working with concepts from graph theory, database schema, distributed systems, and data analysis, you’ll arrive at a unique intersection known as graph thinking. Authors Denise Koessler Gosnell and Matthias Broecheler show data engineers, data scientists, and data analysts how to solve complex problems with graph databases. You’ll explore templates for building with graph technology, along with examples that demonstrate how teams think about graph data within an application. Build an example application architecture with relational and graph technologies Use graph technology to build a Customer 360 application, the most popular graph data pattern today Dive into hierarchical data and troubleshoot a new paradigm that comes from working with graph data Find paths in graph data and learn why your trust in different paths motivates and informs your preferences Use collaborative filtering to design a Netflix-inspired recommendation system



Building Spss Graphs To Understand Data


Building Spss Graphs To Understand Data
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Author : James O. Aldrich
language : en
Publisher: SAGE
Release Date : 2013

Building Spss Graphs To Understand Data written by James O. Aldrich and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Computers categories.


This handy guide can be used in conjunction with any introductory or intermediate statistics book where the focus is on in-depth presentation of how graphs are used.



Graphing Data With R


Graphing Data With R
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Author : John Jay Hilfiger
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2015-10-19

Graphing Data With R written by John Jay Hilfiger and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-19 with Computers categories.


It’s much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many other fields. You’ll learn methods for highlighting important relationships and trends, reducing data to simpler forms, and emphasizing key numbers at a glance. Anyone who wants to analyze data will find something useful here—even if you don’t have a background in mathematics, statistics, or computer programming. If you want to examine data related to your work, this book is the ideal way to start. Get started with R by learning basic commands Build single variable graphs, such as dot and pie charts, box plots, and histograms Explore the relationship between two quantitative variables with scatter plots, high-density plots, and other techniques Use scatterplot matrices, 3D plots, clustering, heat maps, and other graphs to visualize relationships among three or more variables