Data Visualization For Dummies
Data Visualization For Dummies

Author: Mico Yuk

Publisher: John Wiley & Sons

Published: 2014-01-21

Total Pages: 256

ISBN-13: 1118502892

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A straightforward, full-color guide to showcasing data so your audience can see what you mean, not just read about it Big data is big news! Every company, industry, not-for-profit, and government agency wants and needs to analyze and leverage datasets that can quickly become ponderously large. Data visualization software enables different industries to present information in ways that are memorable and relevant to their mission. This full-color guide introduces you to a variety of ways to handle and synthesize data in much more interesting ways than mere columns and rows of numbers. Learn meaningful ways to show trending and relationships, how to convey complex data in a clear, concise diagram, ways to create eye-catching visualizations, and much more! Effective data analysis involves learning how to synthesize data, especially big data, into a story and present that story in a way that resonates with the audience This full-color guide shows you how to analyze large amounts of data, communicate complex data in a meaningful way, and quickly slice data into various views Explains how to automate redundant reporting and analyses, create eye-catching visualizations, and use statistical graphics and thematic cartography Enables you to present vast amounts of data in ways that won't overwhelm your audience Part technical manual and part analytical guidebook, Data Visualization For Dummies is the perfect tool for transforming dull tables and charts into high-impact visuals your audience will notice...and remember.

Creative Visualization For Dummies
Creative Visualization For Dummies

Author: Robin Nixon

Publisher: John Wiley & Sons

Published: 2011-10-31

Total Pages: 402

ISBN-13: 1119992648

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Creative visualizers have learned to make their daydreams come true by tapping into the unconscious mind's awesome power to positively shape and focus thoughts and behaviors. Learn simple, yet powerful, visualization techniques to help you achieve your goals.

Fundamentals of Data Visualization
Fundamentals of Data Visualization

Author: Claus O. Wilke

Publisher: O'Reilly Media

Published: 2019-03-18

Total Pages: 390

ISBN-13: 1492031054

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Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options. This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization. Explore the basic concepts of color as a tool to highlight, distinguish, or represent a value Understand the importance of redundant coding to ensure you provide key information in multiple ways Use the book’s visualizations directory, a graphical guide to commonly used types of data visualizations Get extensive examples of good and bad figures Learn how to use figures in a document or report and how employ them effectively to tell a compelling story

Data Visualization
Data Visualization

Author: Kieran Healy

Publisher: Princeton University Press

Published: 2018-12-18

Total Pages: 292

ISBN-13: 0691181624

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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

Dear Data
Dear Data

Author: Giorgia Lupi

Publisher: Chronicle Books

Published: 2016-09-13

Total Pages: 304

ISBN-13: 1616895462

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Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates "the infinitesimal, incomplete, imperfect, yet exquisitely human details of life," in the words of Maria Popova (Brain Pickings), who introduces this charming and graphically powerful book. For one year, Giorgia Lupi, an Italian living in New York, and Stefanie Posavec, an American in London, mapped the particulars of their daily lives as a series of hand-drawn postcards they exchanged via mail weekly—small portraits as full of emotion as they are data, both mundane and magical. Dear Data reproduces in pinpoint detail the full year's set of cards, front and back, providing a remarkable portrait of two artists connected by their attention to the details of their lives—including complaints, distractions, phone addictions, physical contact, and desires. These details illuminate the lives of two remarkable young women and also inspire us to map our own lives, including specific suggestions on what data to draw and how. A captivating and unique book for designers, artists, correspondents, friends, and lovers everywhere.

Data Points
Data Points

Author: Nathan Yau

Publisher: John Wiley & Sons

Published: 2013-03-25

Total Pages: 8

ISBN-13: 1118654935

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A fresh look at visualization from the author of Visualize This Whether it's statistical charts, geographic maps, or the snappy graphical statistics you see on your favorite news sites, the art of data graphics or visualization is fast becoming a movement of its own. In Data Points: Visualization That Means Something, author Nathan Yau presents an intriguing complement to his bestseller Visualize This, this time focusing on the graphics side of data analysis. Using examples from art, design, business, statistics, cartography, and online media, he explores both standard-and not so standard-concepts and ideas about illustrating data. Shares intriguing ideas from Nathan Yau, author of Visualize This and creator of flowingdata.com, with over 66,000 subscribers Focuses on visualization, data graphics that help viewers see trends and patterns they might not otherwise see in a table Includes examples from the author's own illustrations, as well as from professionals in statistics, art, design, business, computer science, cartography, and more Examines standard rules across all visualization applications, then explores when and where you can break those rules Create visualizations that register at all levels, with Data Points: Visualization That Means Something.

Python for Data Science For Dummies
Python for Data Science For Dummies

Author: John Paul Mueller

Publisher: John Wiley & Sons

Published: 2015-06-23

Total Pages: 432

ISBN-13: 1118843983

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Unleash the power of Python for your data analysis projects with For Dummies! Python is the preferred programming language for data scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization. Python for Data Science For Dummies shows you how to take advantage of Python programming to acquire, organize, process, and analyze large amounts of information and use basic statistics concepts to identify trends and patterns. You’ll get familiar with the Python development environment, manipulate data, design compelling visualizations, and solve scientific computing challenges as you work your way through this user-friendly guide. Covers the fundamentals of Python data analysis programming and statistics to help you build a solid foundation in data science concepts like probability, random distributions, hypothesis testing, and regression models Explains objects, functions, modules, and libraries and their role in data analysis Walks you through some of the most widely-used libraries, including NumPy, SciPy, BeautifulSoup, Pandas, and MatPlobLib Whether you’re new to data analysis or just new to Python, Python for Data Science For Dummies is your practical guide to getting a grip on data overload and doing interesting things with the oodles of information you uncover.

Data Visualization Made Easy: A Beginner's Guide for Everyone
Data Visualization Made Easy: A Beginner's Guide for Everyone

Author: M.B. Chatfield

Publisher: M.B. Chatfield

Published:

Total Pages: 328

ISBN-13:

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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.

Statistics and Data Visualization Using R
Statistics and Data Visualization Using R

Author: David S. Brown

Publisher: SAGE Publications

Published: 2021-08-04

Total Pages: 617

ISBN-13: 1544333870

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Statistics and Data Visualization Using R: The Art and Practice of Data Analysis teaches students statistics visually, focusing on interpreting graphs and charts to learn statistical concepts, from the mean through regression.

Python All-in-One For Dummies
Python All-in-One For Dummies

Author: John C. Shovic

Publisher: John Wiley & Sons

Published: 2024-03-07

Total Pages: 711

ISBN-13: 1394236166

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Everything you need to know to get into Python coding, with 7 books in one Python All-in-One For Dummies is your one-stop source for answers to all your Python questions. From creating apps to building complex web sites to sorting big data, Python provides a way to get the work done. This book is great as a starting point for those new to coding, and it also makes a perfect reference for experienced coders looking for more than the basics. Apply your Python skills to data analysis, learn to write AI-assisted code using GitHub CoPilot, and discover many more exciting uses for this top programming language. Get started coding in Python—even if you’re new to computer programming Reference all the essentials and the latest updates, so your code is air-tight Learn how Python can be a solution for large-scale projects and big datasets Accelerate your career path with this comprehensive guide to learning Python Experienced and would-be coders alike will love this easy-to-follow guide to learning and applying Python.