Choosing The Right Chart Graph
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Dataviz How To Choose The Right Chart For Your Data
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Author : Lee Baker
language : en
Publisher: Lee Baker
Release Date :
Dataviz How To Choose The Right Chart For Your Data written by Lee Baker and has been published by Lee Baker this book supported file pdf, txt, epub, kindle and other format this book has been release on with Education categories.
Data visualisation is sexy – probably the sexiest part of statistics, Data Science, business intelligence and many other fields too. And it can make or break your study! Few people that have to create charts as part of their study know and understand how to create charts for maximum effectiveness, and as a result struggle to engage their audience. And that’s a shame, because a well-crafted chart has the potential to change the world! Charts really are that important! DataViz: How to Choose the Right Chart for Your Data is a short guide to all the different types of charts you’ll commonly encounter in statistics. It is a snappy little non-threatening book about everything you ever wanted to know (but were afraid to ask) about the craft of creating inspirational graphics for your study, presentation, thesis, or just about any occasion – irrespective of your audience. First, I’ll explain about the different types of graphs you’ll use. Then I’ll show you which data goes on which axis. I’ll show you the different types of charts to use, and how to choose which ones to use. We’ll move on to how to style your charts and review them with a critical eye to decide what should go on your graph, and – more importantly – what you should take off. Finally, I’ll introduce you to DataViz – The Big Picture, an Ultra-High-Definition flowchart that will guarantee that you get the right chart first time, every time! By the time you’ve read this short book, you’ll more about plotting charts than pretty much everyone around you! Discover the world of DataViz. Get this book, TODAY!
Choosing The Right Chart Graph
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Author : Steven Homestead
language : en
Publisher:
Release Date : 2021
Choosing The Right Chart Graph written by Steven Homestead and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Charts, diagrams, etc categories.
Effective Data Visualization
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Author : Stephanie D. H. Evergreen
language : en
Publisher: SAGE Publications
Release Date : 2019-04-03
Effective Data Visualization written by Stephanie D. H. Evergreen and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-03 with Social Science categories.
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 data findings. This comprehensive how-to guide functions as a set of blueprints—supported by 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 making the chosen graph in Excel. New to the Second Edition is a completely re-written chapter on qualitative data; inclusion of 9 new quantitative graph types; new shortcuts in Excel; and entirely new chapter on Sharing Your Data with the World which includes advice on using dashboards; and lots of new examples throughout. The Second Edition is also presented in full color.
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!
Data Visualization Made Easy A Beginner S Guide For Everyone
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Author : M.B. Chatfield
language : en
Publisher: M.B. Chatfield
Release Date :
Data Visualization Made Easy A Beginner S Guide For Everyone written by M.B. Chatfield and has been published by M.B. Chatfield this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Make your data sing with data visualization. In today's data-driven world, it's more important than ever to be able to communicate data effectively. Data visualization is the art of transforming data into visually appealing charts, graphs, and dashboards that convey your message clearly and persuasively. Data Visualization Made Easy is the perfect resource for anyone who wants to learn how to use data visualization to communicate their data. This comprehensive guide covers everything you need to know, from the basics of data visualization to advanced topics such as data storytelling and dashboard design. Whether you're a student, a business professional, or a data enthusiast, Data Visualization Made Easy is the essential resource for learning how to communicate data effectively. Here are some of the key topics covered in the book: Introduction to data visualization Choosing the right data visualization Creating effective data visualizations Data storytelling Dashboard design With Data Visualization Made Easy, you'll be well on your way to becoming a data visualization expert.
Show Me The Numbers
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Author : Stephen Few
language : en
Publisher:
Release Date : 2012
Show Me The Numbers written by Stephen Few and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Business & Economics categories.
Information, no matter how important, cannot speak for itself. To tell its story, it relies on us to give it a clear voice. No information is more critical than quantitative data ... numbers that reveal what's happening, how our organizations are performing, and opportunities to do better. Numbers are usually presented in tables and graphs, but few are properly designed, resulting not only in poor communication, but at times in miscommunication. This is a travesty, because the skills needed to present quantitative information effectively are simple to learn. Good communication doesn't just happen; it is the result of good design.
Better Data Visualizations
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Author : Jonathan Schwabish
language : en
Publisher: Columbia University Press
Release Date : 2021-02-09
Better Data Visualizations written by Jonathan Schwabish and has been published by Columbia University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-09 with Computers categories.
Now more than ever, content must be visual if it is to travel far. Readers everywhere are overwhelmed with a flow of data, news, and text. Visuals can cut through the noise and make it easier for readers to recognize and recall information. Yet many researchers were never taught how to present their work visually. This book details essential strategies to create more effective data visualizations. Jonathan Schwabish walks readers through the steps of creating better graphs and how to move beyond simple line, bar, and pie charts. Through more than five hundred examples, he demonstrates the do’s and don’ts of data visualization, the principles of visual perception, and how to make subjective style decisions around a chart’s design. Schwabish surveys more than eighty visualization types, from histograms to horizon charts, ridgeline plots to choropleth maps, and explains how each has its place in the visual toolkit. It might seem intimidating, but everyone can learn how to create compelling, effective data visualizations. This book will guide you as you define your audience and goals, choose the graph that best fits for your data, and clearly communicate your message.
Cool Infographics
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Author : Randy Krum
language : en
Publisher: John Wiley & Sons
Release Date : 2013-10-23
Cool Infographics written by Randy Krum 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 2013-10-23 with Computers categories.
Make information memorable with creative visual designtechniques Research shows that visual information is more quickly andeasily understood, and much more likely to be remembered. Thisinnovative book presents the design process and the best softwaretools for creating infographics that communicate. Including aspecial section on how to construct the increasingly popularinfographic resume, the book offers graphic designers, marketers,and business professionals vital information on the most effectiveways to present data. Explains why infographics and data visualizations work Shares the tools and techniques for creating greatinfographics Covers online infographics used for marketing, including socialmedia and search engine optimization (SEO) Shows how to market your skills with a visual, infographicresume Explores the many internal business uses of infographics,including board meeting presentations, annual reports, consumerresearch statistics, marketing strategies, business plans, andvisual explanations of products and services to your customers With Cool Infographics, you'll learn to createinfographics to successfully reach your target audience and tellclear stories with your data.
Everyday Data Visualization
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Author : Desireé Abbott
language : en
Publisher: Simon and Schuster
Release Date : 2024-06-04
Everyday Data Visualization written by Desireé Abbott and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-04 with Computers categories.
Radically improve the quality of your data visualizations by employing core principles of color, typography, chart types, data storytelling, and more. Everyday Data Visualization is a field guide for design techniques that will improve the charts, reports, and data dashboards you build every day. Everything you learn is tool-agnostic, with universal principles you can apply to any data stack. In Everyday Data Visualization you’ll learn important design principles for the most common data visualizations: Harness the power of perception to guide a user’s attention Bring data to life with color and typography Choose the best chart types for your data story Design for interactive visualizations Keep the user’s needs first throughout your projects This book gives you the tools you need to bring your data to life with clarity, precision, and flair. You’ll learn how human brains perceive and process information, wield modern accessibility standards, get the basics of color theory and typography, and more. About the technology Even mundane presentations like charts, dashboards, and infographics can become engaging and inspiring data stories! This book shows you how to upgrade the visualizations you create every day by improving the layout, typography, color, and accessibility. You’ll discover timeless principles of design that help you highlight important features, compensate for missing information, and interact with live data flows. About the book Everyday Data Visualization guides you through basic graphic design for the most common types of data visualization. You’ll learn how to enhance charts with color, encourage users to interact and explore data and create visualizations accessible to everyone. Along the way, you’ll practice each new skill as you take a dashboard project from research to publication. What's inside Bring data to life with color and typography Choose the best chart types for your data story Design interactive visualizations About the reader For readers experienced with data analysis tools. About the author Desireé Abbott has over a decade of experience in product analytics, business intelligence, science, design, and software engineering. The technical editor on this book was Michael Petrey. Table of Contents PART 1 1 Hello, data viz! 2 How we perceive information 3 It’s all about the data PART 2 4 Choosing colors 5 Typography 6 Creating a good chart 7 Designing for interactivity PART 3 8 Research, design, and development 9 Troubleshooting Appendix
R For Data Science
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Author : Hadley Wickham
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-12-12
R For Data Science written by Hadley Wickham 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 2016-12-12 with Computers categories.
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results