Choice of Chart A few years ago Dr. Andrew Abela published a good Diagram helping to decide about which chart are a better fit for a given data and problem at hand (please click on image below to see it in full size). Choosing a good chart by Dr. Abela (In Color) Dr. Abela also published interesting thoughts about visualization taxonomies and recommended this 3 years old book by Dan Roam, who also published this Visual Thinking “Codex”: Visual Thinking Codex by Dan Roam Good people at Juice Analytics converted Dr. Permalink: Like this: Like Loading...
linuxgems/cheat_sheet.org.sh at master · WilliamHackmore/linuxgems a Google example: preattentive attributes The topic of my short preso at the visual.ly meet up last week in Mountain View was preattentive attributes. I started by discussing exactly what preattentive attributes are (those aspects of a visual that our iconic memory picks up, like color, size, orientation, and placement on page) and how they can be used strategically in data visualization (for more on this, check out my last blog post). Next, I talked through a Google before-and-after example applying the lesson, which I'll now share with you here. First, a little background: In 2010, my colleague Neal Patel undertook research on managers at Google. When Neal's research was complete and it was time to begin to socialize the study and findings, he and I locked ourselves in a room filled with whiteboards and began to brainstorm. One of the early iterations looked like the following (note that I've generalized the visuals significantly to be able to show them here). Findings Next, comes the graph. This is a nice looking visual.
Visualization Course This course will be offered under the auspices of the Department of Computer Science and Engineering, The Ohio State University. CSE5544 will provide a basic introduction to the science and the underlying technology of visualization. The following topics will be studied – the role of perception in visualization, the importance of good design practices, the construction of interactive tools for data and information visualization, and the application of visualization techniques on measured data from the medical and biological sciences and simulated data from the physical sciences and engineering. Case studies and examples will be considered giving the course an application-focus. Hands-on programming experience and the design of interfaces will be stressed throughout the class and thereby providing the students a practical emphasis. Instructor: Raghu Machiraju, Department of Computer Science and Engineering, The Ohio State University
Historical Network Research | Network analysis in the historical disciplines 8 Universal Web Design Principles You Should Know The design of your website is more important for conversions than you think. You can implement any conversion boosting tactic in the world, but if it looks like crap, it won’t do you much good. Design is not just something designers do. Design is marketing. Design is your product and how it works. The more I’ve learned about design, the better results I’ve gotten. Here are 8 effective web design principles you should know and follow. Effective Web Design Principle #1: Visual Hierarchy Squeaky wheels get the grease and prominent visuals get the attention. Exercise. Without knowing ANYTHING about these circles, you were easily able to rank them. Certain parts of your website are more important than others (forms, calls to action, value proposition etc), and you want those to get more attention than the less important parts. Hierarchy does not only come from size. Start with the business objective You should rank elements on your website based on your business objective. Exercise. 1. 2. 3.
CPSC 547: Information Visualization, Fall 2015-2016 CPSC 547: Information Visualization, Fall 2015-2016 Remember to reload the page, changes are frequent Instructor: Tamara MunznerFirst Class: Thu Sep 10 Time/Location: Tue/Thu 2:00-3:30, DMP 101 Office Hours: Tue 3:30-4:30 or by appointment. X661 ICICS/CS Bldg (X Wing) UBC Cal Page: main, waitlist, both This page: Jump to Current Day | Short Syllabus | Detailed Syllabus | Previous Versions Other pages: Projects | Presentations | Project Description | Structure | Resources Short Weekly Syllabus Detailed Syllabus Syllabus tentative, final changes will be made by a week before the class. Required Reading: Visualization Analysis and Design, Tamara Munzner (A K Peters Visualization Series, CRC Press, 2014) is the course textbook. The UBC library has multiple ebook licenses: library catalog page, EZProxy direct link. All additional readings are research papers available online, links posted below. For digital library access from off-campus, use EZproxy with your CWL login through the UBC library.
French Revolution Digital Archive: From the curator The French Revolution Digital Archive emerged from the expressed need by scholars of the French Revolution to gain greater and more flexible access to their sources. The French Revolution itself produced scores of documents by participants, spectators, and critics. These materials include texts of all sorts – legal documents, pamphlet literature, belles lettres, musical compositions, and a rich imagery. Dispersed in libraries and archives, hidden in documental series and in short individual pamphlets, this diverse documentary heritage can now be offered to scholars in a digital format. The Archives parlementaires is a chronologically-ordered edited collection of sources of archival and published source on the French Revolution It was conceived in the mid 19th century as a definitive record of parliamentary deliberations, with both intellectual and political aims, as described in the preface to the second edition:
Visualization - How Strong is Your Password? It would take to crack your password. We will not retain information entered into this password grader. The password you enter is checked and graded on your computer. It is not sent over the Internet. Just the same, be careful where you type your passwords anywhere online. Note: This is not a guarantee of the security of your password. Share your pledge on Facebook* or Twitter*. Are you a password master? Want to take your password from hackable to uncrackable? Step 2: Use multiple passwords Try never to duplicate passwords. "My 1st Password! "My 1st Password! "My 1st Password! Congratulations! Congratulations to our Winners! Full winner list will populate after all winner verifications are complete. Most people use more than six passwords—how many times have you forgotten yours? Learn more about how hackers work > McAfee SafeKey*, which is included with McAfee All Access*, is tailor-made to protect all your devices, usernames, and passwords from one place.
Bang Wong | Points of View ‘Points of View’ is monthly column published by Nature Methods that deals with the fundamental aspects of visual presentation applicable to anyone who works with visual representation of data. Each month since August 2010, my co-authors and I have focused on a particular aspect of data presentation or visualization and provide easy-to-apply tips on how to create effective presentations. This series ended with the August 2013 column but the “Points of” brand lives on; Martin Krzywinski and Erica Savig are the lead authors of “Points of Significance” on statistics. Below are links and excerpts from past columns in reverse chronological order. At the Methagora, a blog from Nature Methods, the set of 35 columns are organized into categories and was made freely available for the month of August 2013 to commemorate the completion of the series. We are working with the journal to provide the columns for free. Nat Methods Aug. 2013 August 2013 Nat Methods July 2013 July 2013 Nat. June 2013 May 2013
A concrete approach to learning how to program As someone who has previously taught computer programming for nearly a decade, I’m often asked questions that involve “what’s the best way to go about learning to program computers,” or “what’s the best way to get a software engineering job,” or “how can I learn to build mobile or web apps?” Most of the readers of this blog have probably faced the same question at some point in their career. How did you answer it? I’ve seen many different responses: “come up with an idea for an app and build it,” or “get a computer science degree,” or “go read The Little Schemer,” or “join an open-source project that excites you,” or “learn Ruby on Rails.” The interesting thing about these responses is that, for the most part, they can be classified into one of two categories: top-down approaches or bottom-up approaches. On the other hand, a bottom-up approach starts with the basics/fundamentals of programming and then slowly builds your knowledge over time. So what does this mean if you’re a learner?