Posts Tagged ‘Data Visualization’.
We are pleased to present below all posts tagged with ‘Data Visualization’.
We use ad-blockers as well, you know. We gotta keep those servers running though. Did you know that we publish useful books and run friendly conferences — crafted for pros like yourself? E.g. upcoming SmashingConf Barcelona, dedicated to smart front-end techniques and design patterns.
We are pleased to present below all posts tagged with ‘Data Visualization’.
When I was young and learning to program, I was fascinated by the possibility of creating things that could live inside my monitor. I had the same feeling when I started to play with procedural content generation, which is to find the rules behind a phenomenon, encode them in an algorithm, and use that algorithm to create something virtual, but realistic — a plausible simulation.
Typically, you can give a seed or some initial parameters to a procedural content generation algorithm, and get some result. You could generate the landscape of a city, the shape of a tree or an entire world.Read more...
Data visualization is on the rise. Publishers around the world — individual bloggers and major online publications alike — are realizing that charts, maps and combinations of the two can convey a message far more effectively than plain numbers can.
From simple charts to fancy infographics to complex timeline animations, data visualizations are popping up all over the Internet. However, as in any other area, once everyone gets on the train, distinguishing yourself from the pack becomes hard.Read more...
The web is growing up. We are building applications that work entirely in the browser. They are responsive; they have tons of features and work under many devices. We enjoy providing high-quality code that is well structured and tested.
But what matters in the end is the impact for clients. Are they getting more products sold or are there more visitors for their campaign sites? The final results usually show if our project is successful. And we rely on statistics as a measuring tool. We all use instruments like Google Analytics. It is a powerful way to collect data. In this article, we will see a CSS-only approach for tracking UI interactions using Google Analytics.Read more...
Responsive web design has become the dominant method of developing and designing websites. It makes it easier to think “mobile first” and to create a website that is viewable on mobile devices. In the early days of responsive web design, creating breakpoints in CSS for particular screen sizes was common, like 320 pixels for iPhone and 768 pixels for iPad, and then we tested and monitored those devices.
As responsive design has evolved, we now more often start with the content and then set breakpoints when the content “breaks.” This means that you might end up with quite a few content-centric breakpoints and no particular devices or form factors on which to test your website.Read more...
Editor's Note: Last Friday, we published an article on the Do's And Don’ts Of Infographic Design written by Amy Balliett which raised quite a discussion within the design community. Some readers agreed, some readers found examples contradictory, and some readers felt that there were some problems with the article which should be addressed in a further article. Nathan Yau was kind enough to write a counter piece arguing about the practices and examples presented within the original article. This article is his response to Amy's article published a week ago. Please notice that the main point of this article is to show a different perspective at the points mentioned in the original article; it isn't supposed to be a “corrected" guide to infographic design.
Smashing Magazine offered advice on the “Dos And Don’ts Of Infographic Design“, but they forgot to include the former. It’s as if I wrote a fake post and someone mistook it for a serious guide. Written by Amy Balliett, it seems to me that the post is basically about a couple of tips on how to create linkbait that doesn’t work. Or at least I hope it doesn’t. Many of the dos are actually dont’s, and judging by some of the comments that the article had received, it’s worth pointing out what’s what.Read more...
Since the dawn of the Internet, the demand for good design has continued to skyrocket. From Web 1.0 to Web 2.0 and beyond, designers have remained on their toes as they define the trends and expectations of our online universe. The Internet is a great designer’s playground, and online businesses are growing more and more appreciative of what can be gained from a bit of well-executed eye candy.
Over the past two years, this fact has become the backbone of a growing trend in online marketing: the infographic. Infographics are visual representations of information, or “data viz” as the cool kids call it these days. The term “data viz” comes from “data visualization,” which implies that sets of data will be displayed in a unique way that can be seen, rather than read. This visualization should not be left up to interpretation, it should instead be designed in a way that provides a universal conclusion for all viewers.Read more...
A certain category of design gaffes can be boiled down to violations of audience expectations. Websites that don't work in Internet Explorer are a heck of a nasty surprise for users who, bless their souls, want the same Internet experience as everyone else. Websites that prevent copying, whether through careless text-as-image conversions or those wretched copyright pop-ups from the turn of the century, cripple a feature that works nearly everywhere else on the Internet. Avoiding this category of blunders is crucial to good design, which is why I am upset that one particular pitfall has been overlooked with extreme frequency.
Statistical literacy is the ability to read and interpret summary statistics in the everyday media: in graphs, tables, statements, surveys and studies. Statistical literacy is needed by data consumers.
The importance of statistical literacy in the Internet age is clear, but the concept is not exclusive to designers. I'd like to focus on it because designers must consider it in a way that most people do not have to: statistical literacy is more than learning the laws of statistics; it is about representations that the human mind can understand and remember.Read more...
Data visualizations and infographics can make complex datasets easier to understand and comprehend. By creating a graphical represenatation of data and statistics, complicated concepts and information can make more sense in less time. Many visualizations focus on representing a specific set of data or statistical information. Others focus on less-concrete topics, providing a visual representation of abstract concepts. Generally speaking, the first type appear more like graphs or charts and the latter are often more creative and imaginative.
But visualizations and infographics can be used poorly, too. Putting in too much information (or not enough), using improper formats for the information provided, and other failures are common. Below are more than 25 useful resources for infographics and data visualization. Most are galleries of effective graphics though some also provide how-to information for information designers.
Also consider our previous articles:
The main goal of data visualization is its ability to visualize data, communicating information clearly and effectivelty. It doesn't mean that data visualization needs to look boring to be functional or extremely sophisticated to look beautiful. To convey ideas effectively, both aesthetic form and functionality need to go hand in hand, providing insights into a rather sparse and complex data set by communicating its key-aspects in a more intuitive way. Yet designers often tend to discard the balance between design and function, creating gorgeous data visualizations which fail to serve its main purpose — communicate information.
In both print and web design infographics — visual representations of information, data or knowledge — are often used to support information, strengthen it and present it within a provoking and sensitive context, depending on designer's creativity.
This article presents some spectacular data visualizations and infographics which manage to combine a strong visual appeal with the effective presentation of information.