The quick reference guide to big data and data analytics; from the definition to the history and future applications of big data.
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'The visual representation of data has gone through a number of phases, with its goals switching back and forth between analysis and presentation over time.
The first uses of graphics to represent data, interestingly, were very bare and abstract, and at the same time were mostly tools for communication. The abstract nature of these early charts is surprising when you consider the amount of ornamentation and decoration that was common with even simple household objects in the early to middle of the 19th century.'
The article goes on to briefly describe and provide examples for the following eras of 200 years in visualization theory and practice:
A recommended read for anyone interested in a short history of data analysis and means of visual communication.
From an annual report to a wedding proposal, here are the uses of the popular way to present information online—with examples of each one.
Infographics are everywhere. It seems as if they stormed out of the very recent Internet-connected past.
But if you think about it, the illustrated flow charts cavemen must have drawn on stone walls to demonstrate how to track and kill a wooly mammoth were infographics. They just weren’t called that back then.
What the latest technology and design allow, however, are many wonderful new uses for these handy, attractive conveyors of data...
Content has its own importance on a website however; mostly people judge an entire website over images and graphics used. So, the images used on a website should convey your basic message and purpose of the website.
If there is a complex piece of information which should be delivered to a viewer in a simpler manner, Infographics are a way to do so. Used by technical writers, statisticians and many others to simplify the process of conveying a complex message. At times, presenting too much of information in written form can confuse the viewer and also it gets time taking. So, in such cases Infographics assist in understanding...
A few elements are required for Infographics. First of all you should have a clear knowledge about the message you want to deliver. Once you are sure of that, you would require color coding, graphics, reference icons, time frames, statistics and off course references...
We all know that data visualization allows data to tell a story, but just what does that mean?
Each day we’re shown all sorts of infographics telling us the how different age groups interact online, the history of Steve Job’s career or cell phone texting statistics. While fun, these inforgaphics feel slightly esoteric. Today, I wanted to help show real life applications of data visualization and help answer the question: How can data visualization help me make better decisions?
DataGraph is an innovative, powerful, and user friendly graphing and charting application for Mac OS X. It minimizes the fuss and frustration associated with creating clean and accurate publication quality graphs and charts and is a great companion for Excel, Numbers or any of the big statistical packages. Even if you already have the data in a spreadsheet, it is typically faster to copy the data into DataGraph and graph it there than to use the built in functions of your spreadsheet application.
Now that everyone loves them, early adopters and forward thinkers want to know what is next for the infographic.
Is this just the beginning of a visual revolution, or have they already jumped the shark? This is an important question, especially for those who are making large investments in the medium, such as publishers and marketers.
Visually stimulating, intellectually illuminating, and creatively compelling, Visualize This: The Flowing Data Guide to Design, Visualization, and Statistics, is equal parts practical vocabulary for an essential modern language and conceptual testament to the power of data visualization as a new form of journalism and a powerful storytelling medium.
Visual communication skills are alien to some in the research industry, but they needn’t be. Data visualisation can become part of the research process through smart hiring, skills training and expert partnerships.
Data visualisation should not be regarded as an end in itself; the real point to data visualisation - the value that it brings to research buyers and suppliers - is as an aid to storytelling. It’s about seeing the patterns in the data that flush out a story and then help you to start telling that story. Only by doing that can you move data off the spreadsheet and out into the real world of consumer behaviour and preferences.
The best analogy and the one used frequently, is with journalism. It’s no surprise either that many great examples of data visualisation come from the publishing and media sectors. Journalists face the same challenge that we do of sifting large amounts of often conflicting data to arrive at a truth or an insight...
Lauren Moss's insight:
An interesting look at the current role of data visualization and data journalism in the advancement of research, communication, and brand development.
With the ever-evolving technological capacities of the Internet we have seen a trend towards interactivity and rich media on the web. Data visualization design is following suit with highly interactive infographics.
Data visualization has always been an effective method of representing information. We can date the earliest versions of graphs and information mapping back to the early 1600’s, when Christoph Scheiner and his peers began using diagrams to represent his astronomical research of the sun’s rotation. Technology has given us the ability to visually represent data much more easily with programs like Microsoft Excel, Tulip, Tableau, OmniGraffle and Adobe Illustrator. Software of this nature enables the creation of really stunning and artistic infographics.
Read the complete article for examples and more details on interactive data visualizations...
The use of infographics has grown significantly over the past few years.
Today, they are used to both inform and engage audiences in many different industries and settings. There are still a few areas, however, where there is a great opportunity to improve and transform communication through information design. Here are five areas I believe could benefit greatly from the use of infographics and data visualization...
SwiftRiver is a free and open-source intelligence platform that helps people curate and make sense of large amounts of information in a short amount of time.
In practice, SwiftRiver enables the filtering and verification of real-time data from channels such as SMS, email, Twitter and RSS feeds. It's especially useful for organizations that need to sort their data by their unique expectations of authority and accuracy, as opposed to popularity.
SwiftRiver allows you to discover, filter and present the information you want.
In SwiftRiver, these are "droplets." For example, common droplets in the river are tweets, Facebook updates, and blog posts. SwiftRiver determines all its attributes- for example, it can determine location, time, author and meaning (in the form of keywords) from a tweet. Once all the droplets are analyzed, you have the ability to filter them from a torrential river to a manageable stream.
Types of stories / output formats:
Via Robin Good, Howard Rheingold
D3 is not traditional visualization framework. Instead of a system with all the features one may ever need, D3 solves the crux of the problem: efficient manipulation of data-based documents. This gives flexibility, exposing the full capabilities of underlying technologies such as CSS3, HTML5 & SVG.
With minimal overhead, D3 is extremely fast, supporting large datasets and dynamic behaviors for interaction and animation. And, for those common needs, D3’s functional style allows code reuse through a diverse collection of optional modules.
Often, when you get data that is organized by geography — say, for example, food stamp rates in every county, high school graduation rates in every state, election results in every House district, racial and ethnic distributions in each census tract — the impulse is since the data CAN be mapped, the best way to present the data MUST be a map. You plug the data into ArcView, join it up with a shapefile, export to Illustrator, clean up the styles and voilà! Instant graphic ready to be published.
...But sometimes the reflexive impulse to map the data can make you forget that showing the data in another form might answer other — and sometimes more important — questions.
DataAppeal is a recently launched web-based visualization application which enables users to produce three- and four-dimensional data maps and animations. It is based on concepts emerging from the 2010 book "The Exposed City: Mapping the Urban Invisibles" by Dr Nadia Amoroso who is the site's founder.
Harness the Power of Data Visualization to Transform Your BusinessInformationWeekThis white paper explains how "business visualization" (dynamic interactive reporting using multi-dimensional graphics) can dramatically improve everyday processes and...