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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

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


Let's Make a Bar Graph

Let's Make a Bar Graph
Author: Robin Nelson
Publisher: Lerner Digital ™
Total Pages: 24
Release: 2017-08-01
Genre: Juvenile Nonfiction
ISBN: 1512463035

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Audisee® eBooks with Audio combine professional narration and text highlighting for an engaging read aloud experience! Nan surveys her class to find out what types of pets they have. See how she creates a bar graph to share her results.


Let's Make a Picture Graph

Let's Make a Picture Graph
Author: Robin Nelson
Publisher: Lerner Publications ™
Total Pages: 25
Release: 2017-08-01
Genre: Juvenile Nonfiction
ISBN: 154150609X

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Dan, Emma, and Ron want to compare how many apples they picked. Look at the picture graph to tell who picked the most.


Let's Make a Tally Chart

Let's Make a Tally Chart
Author: Robin Nelson
Publisher: Lerner Publications ™
Total Pages: 25
Release: 2017-08-01
Genre: Juvenile Nonfiction
ISBN: 1541506111

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Ben needs to find out what food to grill at the cookout. Examine his tally chart to see how many people want hot dogs, hamburgers, or chicken.


Let's Make a Circle Graph

Let's Make a Circle Graph
Author: Robin Nelson
Publisher: Lerner Publications ™
Total Pages: 25
Release: 2017-08-01
Genre: Juvenile Nonfiction
ISBN: 1541506073

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Mr. Hall surveys his class to find out how many people walk, take the bus, or take a car to get to school. Watch as he makes a circle graph with his data.


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

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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!


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

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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!


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

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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.


How Charts Lie: Getting Smarter about Visual Information

How Charts Lie: Getting Smarter about Visual Information
Author: Alberto Cairo
Publisher: W. W. Norton & Company
Total Pages: 256
Release: 2019-10-15
Genre: Business & Economics
ISBN: 1324001577

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A leading data visualization expert explores the negative—and positive—influences that charts have on our perception of truth. We’ve all heard that a picture is worth a thousand words, but what if we don’t understand what we’re looking at? Social media has made charts, infographics, and diagrams ubiquitous—and easier to share than ever. We associate charts with science and reason; the flashy visuals are both appealing and persuasive. Pie charts, maps, bar and line graphs, and scatter plots (to name a few) can better inform us, revealing patterns and trends hidden behind the numbers we encounter in our lives. In short, good charts make us smarter—if we know how to read them. However, they can also lead us astray. Charts lie in a variety of ways—displaying incomplete or inaccurate data, suggesting misleading patterns, and concealing uncertainty—or are frequently misunderstood, such as the confusing cone of uncertainty maps shown on TV every hurricane season. To make matters worse, many of us are ill-equipped to interpret the visuals that politicians, journalists, advertisers, and even our employers present each day, enabling bad actors to easily manipulate them to promote their own agendas. In How Charts Lie, data visualization expert Alberto Cairo teaches us to not only spot the lies in deceptive visuals, but also to take advantage of good ones to understand complex stories. Public conversations are increasingly propelled by numbers, and to make sense of them we must be able to decode and use visual information. By examining contemporary examples ranging from election-result infographics to global GDP maps and box-office record charts, How Charts Lie demystifies an essential new literacy, one that will make us better equipped to navigate our data-driven world.


R Graphics Cookbook

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

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"Practical recipes for visualizing data"--Cover.