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Every second data from all over the globe pours into public and private data warehouses whose storage encompasses nearly the sum total of human knowledge and endeavor.
A Data Visualization application can scan the drives for usage data and then present it as an image such as a bar graph, pie chart, or some other visual format. To quote Marcos Weskamp, the creator of Newsmap"Today, the internet presents a new challenge, the wide and unregulated distribution of information requires new Visual paradigms to organize, simplify and analyze large amounts of data. The Data Visualization applications listed below are ones I regularly use and have found really helpful.
Additionally, there are two links in the references list at the bottom of this article that provide more extensive lists of Data Visualization applications that are run from the desktop or on the web. Treesize Free can be started from the context menu of a folder or drive and shows you the size of this folder, including its subfolders. Wiki Mindmap is a tool to browse easily and efficiently in Wiki content, inspired by the mindmap technique. Newsmap is an application that visually reflects the constantly changing landscape of the Google News news aggregator.
Google Chart Tools allow you to build your own image and interactive charts where Google provides the tools and you provide the necessary input data. Smashing Magazine has produced an excellent list of some of the best data visualization examples on the Web today (hat tip to Melissa Worden). I keep hearing about Density Design’s RAW tool and had it filed away in the back of my mind to try out sometime. I wanted to show a client how an alluvial diagram would do a good job of expressing some relationships in their data and was not thrilled at the prospect of trying to mock it up in Illustrator.
I came across this visually arresting depiction of gun murders today, thanks to a tip from my friend, Kimball. In an interesting coincidence, the original dataset was researched by Jerome Cukier, who is helping me with a project right now. Palo Alto Networks launched the data visualization that we created yesterday with the release of their Application Usage & Threat Report.
Came across this fascinating interaction from the New York Times, doing research for a client project.
Fast Company magazine recently featured this beautiful rendition of the ocean’s currents on their blog. I recently discovered Data Stories, a podcast devoted to data visualization hosted by Moritz Stefaner and Enrico Bertini. I recognize that these are imperfect proxies for the workforce pipeline that leads to Google, but think they are worth exploring nonetheless. As with many explorations of data, this may lead you to ask more questions than it answers. Also interesting to look at the ethnicity of the population in the four counties within a commute-friendly distance of the Googleplex.
Data on high school graduate interest levels in STEM (science, technology, engineering, mathematics) by ethnicity comes from the people that administer the ACT test. Data on graduates with college degrees (bachelors, masters, PhD) in Computer Science, Computer Engineering, or Information comes from the 2012-2013 Taulbee Survey.
The way ethnicity is recorded is (thankfully) fairly consistent across the different data sources. Stumbled across this interesting interactive work of Ben Fry’s – a great example of visualizing large amounts of data in a cohesive way.
I think what I like most about it is the clear illustration of how the scientific process can lead to continual learning and refinement of ideas. A data-heavy project I’ve been working intensely on the last week or so was released yesterday. I enjoyed wrestling with Excel and Illustrator to create histograms, box and whisker plots and a few original creations. It’s amazing how much more understanding you get out of a well-designed visualization than a spreadsheet of numbers. Reading the raw data, or even a well-written description, doesn’t have the same impact on understanding as an effective visualization. Several people have pointed me to a well-crafted data visualization by Pitch Interactive showing data for U.S. This week, my sister tipped me off about The Atavist, a new take on multi-layered storytelling via iPhone or iPad apps (also available on Kindle and Nook). One of the first things I discovered was a rich infographic showing the events leading up to the fall of the regime in Egypt.
This fact would have been discoverable just browsing through my connections on the standard LinkedIn site, but seeing the whole network mapped in one place removes a lot of barriers to this kind of discovery. Moritz Stefaner is a freelance designer in Europe creating some beautiful and data-rich visualizations. Projects like this excite me about the power of information design to bring things to light that aren’t easily discernible any other way.
Though not as extensive or complex statistically as the first one (Corporate Governance Practices and Trends), this one presented some interesting challenges in presenting data clearly, accurately and concisely. It was put together by Williams College math students and their professor using CIRCOS visualization software.
I’m guessing Williams, as a liberal arts school, may have a more evenly distributed set of careers than some other schools. Interesting to see that the mortality rate for children under 5 in the US is about 37% higher than the average of high income OECD countries. Note: The World Bank is the source of data for the sample I gave a while back using the Google Public Data Explorer. I love this stunningly clear, easy-to-use, and information-rich interactive piece that encourages exploration of VC investments. Any mathematicians out there know that there are many ways to prove the theorem attributed to Pythogoras – I like the simple elegance of this one.

With the presidential election fast approaching, interest in the predicted outcome is high.
The promised infographic resume tool that I mentioned a few posts back has launched at
I was thinking about the visual display of uncertainty today and came across this nice example from a weather site in Norway. The Csummit is finally here - and Copenhagen is likely to be a historic moment, whatever the result. The background to the Copnehagen summit is the amount of carbon we're pumping out into the atmosphere.
These are the latest figures - up to 2007 - from the respected US Energy Information Administration. Each year we review the underlying consumption data for petroleum, natural gas, and coal and the flaring data for natural gas and make any necessary revisions. Of course, these aren't all emissions - just consumption of engergy, which accounts for 60% of the total. Because of the interest, the EIA are going to come up with 2008 figures at the end of this year or early 2010. David Friedman (Editor of Smashing Magazine) has crafted together a superb collection of resources representing some of the most interesting modern approaches to data visualization. Rather than presenting data as reports or other textual formats, Data Visualization presents it as images. Lets say you have three disk drives using several hundred gigabytes of storage space between them. At a glance, it's now easy to see how much of drive C, for example, is allocated to MP3's or that a particular user taken up 250 gigabytes of space for PC games.
You can expand this folder in Explorer-like style and you will see the size of every subfolder. Wiki pages in large public wiki's, such as wikipedia, have become rich and complex documents. A treemap visualization algorithm helps display the enormous amount of information gathered by the aggregator. The Google Chart API provides Image Charts which are rendered by a Google chart server in response to a simple URL request. The more the graphic allows manipulation from the user, the longer she’ll stick around.
Here’s a good video tutorial from Flashmastah Ray Villalobos on how to use XML and Flash, as well as many more Flash and XML resources at Kirupa and advice from Mindy McAdams. Danny has been with Tribune since 2005 in a variety of editorial, digital and product development roles in Hartford, Orlando and Fort Lauderdale. In my search for an easier way, I stumbled across RAW again and had a vector sample in minutes.
I was a bit skeptical when I saw some of the lines showing a life expectancy in the 90s, but reading the notes on methods and sources, I see that each individual line is based on a the age distribution of deaths (not the average life expectancy).
Not sure where I come down on gun control, but I do find that this exploration raises a lot of questions in my mind. It was interesting just as a static image with a few rollovers, but then I clicked some of the links up top (types of spending, changes) and things started flying. It was put together by the visualization geniuses at NASA’s Scientific Visualization Studio and can be viewed in a variety of formats (including an iPad app). I have been listening daily in the car on my way from here to there and have made it up to Episode #7 – Color.
He uses the now-Google-owned Public Data Explorer technology (developed by his organization Gapminder), to take you on a journey testing your concept of the developing world. The numbers hold steady for black high school graduates and those that get degrees in fields that might prepare them for a job at Google (5% in each case). Qualified Hispanic high school grads do not appear to go on to get as many degrees in CS, etc. I know people relocate to work at Google, but the ethnicity of those who live nearby has to be a factor. Information degrees include Information Science, Information Systems, Information Technology, Informatics and related disciplines. He has visually shown all the changes made by Charles Darwin to his classic On the Origin of Species over six different editions.
And the client was great to work with – detail-oriented, appreciative of good design, understanding of complexity. Threestory Studio got its name in part because of my interest in telling stories visually, so I was intrigued to see what The Atavist had to offer. It combines a timeline of events with web traffic data and social media engagement in Egypt. In between are various work and school connections that are scattered and less well-defined.
I came across his Notabilia project yesterday, after following a lead from someone at The Leonardo. Rolling over the thumbnails allows you to isolate the paths from individual majors to careers.
I’d be interested to see how this same distribution looks for other schools of different types and sizes. They have also done a nice job inviting exploration with the way they have organized their data website. It’s a visual, geometric way of proving the Pythogorean Theorem that was published around 2,000 years ago.
It’s a customizable infographic interpretation of your LinkedIn profile, to which you can add skills and other experience. It shows the probable range of future temperature and precipitation levels for the city of Oslo.

I imagine that the further out in time the forecast is, the more uncertain it would be, but there are obviously other factors that affect probability as well.
Now, the US is no longer number one emitter of carbon dioxide, having been overtaken by China in these latest figures. Up until very recently, it was the US - now, it is indisputedly China, as shown by this data. This has (literally) every country in the world on it and its emissions going back to 1980 — plus we've put on some handy percentage change data and ranking information. Along with this, the article highlights many useful resources and tools to assist in creating powerful charts, diagrams, maps, statistics and data visualisations. Consider what would happen if the national power grid ever crashed or if Wall Street suffered a catastrophic data loss.
To gather useful information raw data must be "mined" to extract desired "patterns" which are then presented to a user as information. While it's a relatively simple exercise to see the available free space for each drive, its much harder to determine how the occupied space is allocated.
I was blown away by ones such as the Twingly Screensaver which visualizes the blogosphere worldwide in real time. Thus, it is not allways straight forward to find the information you are really looking for.
Though these particular graphics are a little trippy for your average reader, such experimentation should yield sweet results for mainstream design. If you’re a designer who has only been using Flash as a shell to hold content, push the envelope with some XML files powering your Flash graphics. He has also previously worked in the newsrooms of the Tampa Bay Times and The Miami Herald.
The animation packs a punch, and when it’s finished, you have a number of options for diving into the data, including getting a sense of the individuals affected. Meaning that there would logically be a few people that would make it into their 90s (and some that would die at 50). With the OECD Better Life Initiative, you can pick what you care about (Environment, Work-Life Balance, Health, etc.) and see which countries rise above the rest. The visualization gives you a sense of the applications that eat up the most bandwidth and represent the greatest risk. Google is not dissimilar to other tech companies who have shared the same data, but I’d like to see actual employment data for a broader group of tech companies. Looking at the local population of those counties (Santa Clara, San Mateo, San Francisco, Alameda), Asians are perfectly represented at Google at 30% of the population and 30% of the workforce.
The book went from 150,000 words to 190,000 by the sixth edition, with some interesting edits along the way (including a significant addition to the closing paragraph).
I think that most of the change for China was due to revisions to our coal consumption data. In the meantime, as we countdown to Copenhagen, these figures will become even more important. Wall Street, banking, insurance, medicine, manufacturing, power grids; nearly everything floats on a sea of data whose depth and complexity are so vast it boggles the mind.
Because humans are visual learners and we're able to grasp complex content much more quickly when its presented as images rather than as purely textual content. Scanning is done in a thread, so you can already see results while TreeSize Free is working.
This tool aims to support users to get a good structured and easy understandable overview of the topic you are looking for. Newsmap's objective takes that goal a step further and provides a tool to divide information into quickly recognizable bands which, when presented together, reveal underlying patterns in news reporting across cultures and within news segments in constant change around the globe.
In addition to the extensive gallery of charts, this server now also provides dynamic icons, QR codes, and math formulas.The Google Visualization API provides Interactive charts which are rendered on the browser using a Google developed JavaScript library.
There are many ways to slice and filter the data, facilitated by the capabilities of the d3.js library. To answer some of the questions that came to me, I put together this graphic that gives another angle on the same data.
And the collection of 100 branches makes a lively, energetic whole that begs to be explored.
Seeing work experience in a timeline makes a lot of sense, though the scale of the education timeline differs from work experience in a way that gives a distorted view.
Coal consumption is a calculated value based on production, imports, exports, and stock change and when measured in Btus is also affected by the types of coal consumed (i.e. And making sense out of all this data requires ever more sophisticated hardware and software which allows us to interpret - or abstract - raw data into forms of information that we can understand. The Explorer context menu is supported within TreeSize, as well as the usual drag & drop operations. He’s the same designer who created the Notabilia Wikipedia project that I posted about a while back. They also track which of the students interested in STEM meet standards in math and science, by ethnicity.
For example, data mining allows retailers to locate customers with similar buying habits for targeted advertising and U.S. Data for the most recent year are often preliminary and most subject to revision but data for earlier years are also often revised. That’s an important piece of the puzzle and one I imagine Google and others concerned with workforce diversity examine internally.

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