R Graphics Cookbook

R Graphics Cookbook
Author: Winston Chang
Publisher: "O'Reilly Media, Inc."
Total Pages: 414
Release: 2013
Genre: Computers
ISBN: 1449316956

"Practical recipes for visualizing data"--Cover.

Let's Make a Bar Graph

Let's Make a Bar Graph
Author: Robin Nelson
Publisher: Lerner Publications ™
Total Pages: 25
Release: 2017-08-01
Genre: Juvenile Nonfiction
ISBN: 1541506057

Nan surveys her class to find out what types of pets they have. See how she creates a bar graph to share her results.

Effective Data Visualization

Effective Data Visualization
Author: Stephanie D. H. Evergreen
Publisher: SAGE Publications
Total Pages: 581
Release: 2019-04-03
Genre: Social Science
ISBN: 1544350872

NOW IN FULL COLOR! Written by sought-after speaker, designer, and researcher Stephanie D. H. Evergreen, Effective Data Visualization shows readers how to create Excel charts and graphs that best communicate their data findings. This comprehensive how-to guide functions as a set of blueprints—supported by both research and the author’s extensive experience with clients in industries all over the world—for conveying data in an impactful way. Delivered in Evergreen’s humorous and approachable style, the book covers the spectrum of graph types available beyond the default options, how to determine which one most appropriately fits specific data stories, and easy steps for building the chosen graph in Excel. Now in full color with new examples throughout, the Second Edition includes a revamped chapter on qualitative data, nine new quantitative graph types, new shortcuts in Excel, and an entirely new chapter on Sharing Your Data With the World, which provides advice on using dashboards. New from Stephanie Evergreen! The Data Visualization Sketchbook provides advice on getting started with sketching and offers tips, guidance, and completed sample sketches for a number of reporting formats. Bundle Effective Data Visualization, 2e, and The Data Visualization Sketchbook, using ISBN 978-1-5443-7178-8!

The Great Graph Contest

The Great Graph Contest
Author:
Publisher:
Total Pages: 0
Release: 2005
Genre: Amphibians
ISBN: 9780823417100

Gonk and Beezy, two amphibian friends, hold a contest to see who can make better graphs. Includes information about different kinds of graphs.

Storytelling with Data

Storytelling with Data
Author: Cole Nussbaumer Knaflic
Publisher: John Wiley & Sons
Total Pages: 284
Release: 2015-10-09
Genre: Mathematics
ISBN: 1119002265

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!

Making Bar Graphs

Making Bar Graphs
Author: Jagger Youssef
Publisher: Gareth Stevens Publishing LLLP
Total Pages: 24
Release: 2014-08-01
Genre: Juvenile Nonfiction
ISBN: 1482407809

Bar graphs are an interesting and easy way to show math facts. This accessible book guides readers through the different parts of a bar graph, including its title, labels, and scale. Readers are then invited to make their own graph, mirroring the sample in the book, and encouraged to make bar graphs about many fun subjects. Questions throughout this book and an answer key enable readers to self-evaluate their understanding.

Tally O'Malley

Tally O'Malley
Author: Stuart J. Murphy
Publisher: Harper Collins
Total Pages: 44
Release: 2004-09-14
Genre: Juvenile Nonfiction
ISBN: 0060531649

The O'Malleys are off to the beach! But it's a long, hot, boring drive. What can Eric, Bridget, and Nell do to keep busy? Play tally games, of course -- counting up all the gray cars or green T-shirts they see. Whoever has the most marks at the end wins the game. Eric wins the first game. Bridget wins the second. It seems like poor Nell will never win a game! But Nell has the luck of the Irish on her side, and a surprise in store for her big brother and sister.

Making Bar Graphs

Making Bar Graphs
Author: Jagger Youssef
Publisher: Gareth Stevens Publishing LLLP
Total Pages: 26
Release: 2014-08-01
Genre: Juvenile Nonfiction
ISBN: 1482407825

Bar graphs are an interesting and easy way to show math facts. This accessible book guides readers through the different parts of a bar graph, including its title, labels, and scale. Readers are then invited to make their own graph, mirroring the sample in the book, and encouraged to make bar graphs about many fun subjects. Questions throughout this book and an answer key enable readers to self-evaluate their understanding.

Statistics For Dummies

Statistics For Dummies
Author: Deborah J. Rumsey
Publisher: John Wiley & Sons
Total Pages: 423
Release: 2016-06-07
Genre: Mathematics
ISBN: 1119293529

The fun and easy way to get down to business with statistics Stymied by statistics? No fear? this friendly guide offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations, with lots of examples that show you how these concepts apply to your everyday life. Statistics For Dummies shows you how to interpret and critique graphs and charts, determine the odds with probability, guesstimate with confidence using confidence intervals, set up and carry out a hypothesis test, compute statistical formulas, and more. Tracks to a typical first semester statistics course Updated examples resonate with today's students Explanations mirror teaching methods and classroom protocol Packed with practical advice and real-world problems, Statistics For Dummies gives you everything you need to analyze and interpret data for improved classroom or on-the-job performance.

Calling Bullshit

Calling Bullshit
Author: Carl T. Bergstrom
Publisher: Random House Trade Paperbacks
Total Pages: 338
Release: 2021-04-20
Genre: Political Science
ISBN: 0525509208

Bullshit isn’t what it used to be. Now, two science professors give us the tools to dismantle misinformation and think clearly in a world of fake news and bad data. “A modern classic . . . a straight-talking survival guide to the mean streets of a dying democracy and a global pandemic.”—Wired Misinformation, disinformation, and fake news abound and it’s increasingly difficult to know what’s true. Our media environment has become hyperpartisan. Science is conducted by press release. Startup culture elevates bullshit to high art. We are fairly well equipped to spot the sort of old-school bullshit that is based in fancy rhetoric and weasel words, but most of us don’t feel qualified to challenge the avalanche of new-school bullshit presented in the language of math, science, or statistics. In Calling Bullshit, Professors Carl Bergstrom and Jevin West give us a set of powerful tools to cut through the most intimidating data. You don’t need a lot of technical expertise to call out problems with data. Are the numbers or results too good or too dramatic to be true? Is the claim comparing like with like? Is it confirming your personal bias? Drawing on a deep well of expertise in statistics and computational biology, Bergstrom and West exuberantly unpack examples of selection bias and muddled data visualization, distinguish between correlation and causation, and examine the susceptibility of science to modern bullshit. We have always needed people who call bullshit when necessary, whether within a circle of friends, a community of scholars, or the citizenry of a nation. Now that bullshit has evolved, we need to relearn the art of skepticism.