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Visual Business Intelligence

Visual Business Intelligence
For data sensemakers and others who are concerned with the integrity of data sensemaking and its outcomes, the most important book published in 2016 was Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy, by Cathy O’Neil. This book is much more than a clever title. It is a clarion call of imminent necessity. Data can be used in harmful ways. This fact has become magnified to an extreme in the so-called realm of Big Data, fueled by an indiscriminate trust in information technologies, a reliance on fallacious correlations, and an effort to gain efficiencies no matter the cost in human suffering. In Weapons of Math Destruction, O’Neil reveals the dangers of data-sensemaking algorithms that employ statistics to score people and institutions for various purposes in ways that are unsound, unfair, and yes, destructive. O’Neil defines WMDs as algorithms that exhibit three characteristics: They are opaque (i.e., inscrutable black boxes). Take care,

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Gun Deaths In America This interactive graphic is part of our project exploring the more than 33,000 annual gun deaths in America and what it would take to bring that number down. See our stories on suicides among middle-age men, homicides of young black men and accidental deaths, or explore the menu for more coverage. Methodology The data in this interactive graphic comes primarily from the Centers for Disease Control and Prevention’s Multiple Cause of Death database, which is derived from death certificates from all 50 states and the District of Columbia and is widely considered the most comprehensive estimate of firearm deaths. In keeping with the CDC’s practice, deaths of non-U.S. residents that take place in the U.S.

The Work of Edward Tufte and Graphics Press Edward Tufte is a statistician and artist, and Professor Emeritus of Political Science, Statistics, and Computer Science at Yale University. He wrote, designed, and self-published 4 classic books on data visualization. The New York Times described ET as the "Leonardo da Vinci of data," and Business Week as the "Galileo of graphics." The Dataviz Design Process: 7 Steps for Beginners Does data visualization leave you feeling like this? If so, this beginner-level post is for you! Data visualization requires two skillsets: technical skills to create visualizations in a software program and critical thinking skills to match your visualization to your audience’s information needs, numeracy level, and comfort with data visualization. If you’re interested in learning more about technical skills, check out my Excel for Evaluation chart tutorials and my Dataviz Challenges. If you’re interested in learning more about critical thinking skills, read on!

Duarte Blog Just a couple more stops until the Death Star. @sean_voegeli Many of our employees live a long way from the office. One of our designers has a particularly hellish trek. Instead of whining about it — or just staring at his phone like the rest of us — he started making it a #creativecommute.

One Dataset, Visualized 25 Ways “Let the data speak.” It’s a common saying for chart design. The premise — strip out the bits that don’t help patterns in your data emerge — is fine, but people often misinterpret the mantra to mean that they should make a stripped down chart and let the data take it from there. You have to guide the conversation though. You must help the data focus and get to the point.

Visualization Visualizing data through charts, graphs, and diagrams helps you deliver bite-sized information that viewers will understand at a glance and retain for the long run. During my workshops, webinars, and training videos, we focus on researcher-specific considerations: designing with stakeholders’ information needs front and center, using readily available software like Microsoft Excel, and thinking through dozens of chart types—dot plots, small multiples, heat maps, and more—that can be applied to the social sciences. My goal is to equip you with critical thinking skills and technical know-how create visualizations faster and easier than you ever thought was possible. Read my latest articles about selecting appropriate chart types, applying best practices to your charts, and more.

Gallery: U.S. Federal Budget Back to Gallery Home Let’s begin with some tilted 3D pie charts and work our way toward a more revealing visualization. Here are the above 1993 and 2012 pie chart pairs, with Receipts and Outlays converted to flows in two separate Sankey diagrams: Diagram Notes: Receipts are shades of green, Outlays are shades of blue. Six Minutes Six Minutes is a public speaking and presentation skills website. We offer regular feature articles on speech writing, delivery techniques, PowerPoint and visuals, and speaker habits. In these articles, you will find tips, insights, and strategies which help you become a confident and effective speaker. In addition, we also also deliver special features including: speech critiques enhanced with video;public speaking book reviews; andweekend recaps of the best public speaking articles from the public speaking blogosphere.

How We Use Data to Inspire Design – Design x Data – Medium By Arianna McClain & Rohini Vibha When most people imagine good design, numbers probably don’t come to mind. In fact, anything quantitative might feel completely at odds with the concept of beautiful design. But at IDEO, in addition to connecting with people and learning their stories, designers use quantitative data as a tool to gain empathy and inspiration. We learn from numbers the same way we learn from people, because we see numbers as a representation of people.

System Mapping System mapping, the process of creating visual tools that describe a system, is a critical step in systems change that brings together stakeholders from across organizations and sectors to develop a common understanding of a given system. Breaking down the mapping process into 3 stages—preparation, facilitation, and revision—this guide provides detailed instructions, helpful hints, and visual examples for practitioners to follow as they create one type of system map called an actor map. Top Takeaways

Graphics in R Please direct questions and comments about these pages, and the R-project in general, to Dr. Tom Philippi. Introduction W. E. B. Du Bois’ Hand-Drawn Infographics of African-American Life (1900) William Edward Burghardt “W. E. B.” Data Visualization Fundamentals Ready to watch this entire course? Become a member and get unlimited access to the entire skills library of over 4,900 courses, including more Design and personalized recommendations. Start Your Free Trial Now Overview Transcript View Offline Exercise Files Released RGraphExampleLibrary: R Example Graph Library Introduction I wondered why there wasn't a website with output of the many examples of R packages. Well, here it is. This site contains hundreds of plots and graphics from the example sections of over 90 packages. There are many more R packages available and even within the selected packages some plots are not created (for various reasons). But this collection should give a broad overview of the graphic features available.

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