Data Visualisation

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Data Visualisation

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Author : Andy Kirk
language : en
Publisher: SAGE
Release Date : 2016-06-21

Data Visualisation written by Andy Kirk and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-21 with Social Science categories.

Voted one of the "six best books for data geeks" by The Financial Times. Read the review here. Lecturers, request your electronic inspection copy. Never has it been more essential to work in the world of data. Scholars and students need to be able to analyze, design, and curate information into useful tools of communication, insight, and understanding. This book is the starting point in learning the process and skills of data visualization, teaching the concepts and skills of how to present data, and inspiring effective visual design. Benefits of this book: A flexible step-by-step journey that equips you to achieve great data visualization A curated collection of classic and contemporary examples, giving illustrations of good and bad practice Examples on every page to give creative inspiration Illustrations of good and bad practice show you how to critically evaluate and improve your own work Advice and experience from the best designers in the field Loads of online practical help, checklists, case studies and exercises make this the most comprehensive text available

Communicating With Data Visualisation

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Author : Adam Frost
language : en
Publisher: SAGE
Release Date : 2021-11-03

Communicating With Data Visualisation written by Adam Frost and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-03 with Computers categories.

This book offers a four-step framework for transforming data into innovative, persuasive visualisations that will appeal to different audiences.

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.

Interactive Data Visualization

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Author : Matthew O. Ward
language : en
Publisher: CRC Press
Release Date : 2015-06-11

Interactive Data Visualization written by Matthew O. Ward and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-11 with Computers categories.

An Updated Guide to the Visualization of Data for Designers, Users, and ResearchersInteractive Data Visualization: Foundations, Techniques, and Applications, Second Edition provides all the theory, details, and tools necessary to build visualizations and systems involving the visualization of data. In color throughout, it explains basic terminology

Handbook Of Data Visualization

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Author : Chun-houh Chen
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-12-18

Handbook Of Data Visualization written by Chun-houh Chen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-18 with Computers categories.

Visualizing the data is an essential part of any data analysis. Modern computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. This book gives an overview of modern data visualization methods, both in theory and practice. It details modern graphical tools such as mosaic plots, parallel coordinate plots, and linked views. Coverage also examines graphical methodology for particular areas of statistics, for example Bayesian analysis, genomic data and cluster analysis, as well software for graphics.

Making Data Visual

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Author : Danyel Fisher
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-12-20

Making Data Visual written by Danyel Fisher 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 2017-12-20 with Computers categories.

You have a mound of data front of you and a suite of computation tools at your disposal. Which parts of the data actually matter? Where is the insight hiding? If you’re a data scientist trying to navigate the murky space between data and insight, this practical book shows you how to make sense of your data through high-level questions, well-defined data analysis tasks, and visualizations to clarify understanding and gain insights along the way. When incorporated into the process early and often, iterative visualization can help you refine the questions you ask of your data. Authors Danyel Fisher and Miriah Meyer provide detailed case studies that demonstrate how this process can evolve in the real world. You’ll learn: The data counseling process for moving from general to more precise questions about your data, and arriving at a working visualization The role that visual representations play in data discovery Common visualization types by the tasks they fulfill and the data they use Visualization techniques that use multiple views and interaction to support analysis of large, complex data sets

Data Visualization

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Author : Robert Collins
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2018-09-10

Data Visualization written by Robert Collins and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-10 with categories.

This book is a guide for you on how to present data using graphics. The various tools that can be used for presenting data visually have been discussed. The author guides you on how to create various graphics using data in R programming language. The author also guides you on how to present data graphically in Python using Matplotlib and Pandas libraries. Tableau is a graphical user interface tool good for business intelligence. The tool can help its users present their data visually. The author guides you on how to create various graphics to represent your data in Tableau. Microsoft Excel is also a good tool for data analysis and visualization. The author guides you on the various ways to present your data visually in Excel. What is Data Visualization? Data Visualization in R Data Visualization in Python Data Visualization with Tableau Data Visualization in Excel Keywords: data visualisation r, pandas programming, data visualisation python, tableau data, matplotlib python, pandas python, pandas, data visualisation books, data visualisation for dummies, data visualisation excel, data visualization tableau, data visualization a practical introduction, tableau data visualizations.

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.

Data Visualization

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Author : Kieran Healy
language : en
Publisher: Princeton University Press
Release Date : 2018-12-18

Data Visualization written by Kieran Healy and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-18 with Social Science categories.

An accessible primer on how to create effective graphics from data This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way. Data Visualization builds the reader’s expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective “small multiple” plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible. Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings. Provides hands-on instruction using R and ggplot2 Shows how the “tidyverse” of data analysis tools makes working with R easier and more consistent Includes a library of data sets, code, and functions

Interactive Data Visualization For The Web

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Author : Scott Murray
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-03-15

Interactive Data Visualization For The Web written by Scott Murray 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 2013-03-15 with Computers categories.

Create and publish your own interactive data visualization projects on the Web, even if you have no experience with either web development or data visualization. It’s easy with this hands-on guide. You’ll start with an overview of data visualization concepts and simple web technologies, and then learn how to use D3, a JavaScript library that lets you express data as visual elements in a web page. Interactive Data Visualization for the Web makes these skills available at an introductory level for designers and visual artists without programming experience, journalists interested in the emerging data journalism processes, and others keenly interested in visualization and publicly available data sources. Get a practical introduction to data visualization, accessible for beginners Focus on web-based tools that help you publish your creations quickly to a wide audience Learn about interactivity so you can engage users in exploring your data