Www.gopivotal.com/sites/default/files/n188- Pivotal Data Dispatch ROI Case Study -NYSE EURONEXT_0.pdf. R, the Software, Finds Fans in Data Analysts. The software failed to generate broad interest and ultimately the rights to S ended up in the hands of Tibco Software. Now R is surpassing what Mr. Chambers had imagined possible with S. “The diversity and excitement around what all of these people are doing is great,” Mr. Chambers said.
While it is difficult to calculate exactly how many people use R, those most familiar with the software estimate that close to 250,000 people work with it regularly. The popularity of R at universities could threaten SAS Institute, the privately held business software company that specializes in data analysis software. SAS, with more than $2 billion in annual revenue, has been the preferred tool of scholars and corporate managers. “R has really become the second language for people coming out of grad school now, and there’s an amazing amount of code being written for it,” said Max Kuhn, associate director of nonclinical statistics at Pfizer. Mr. Mr. Data Converter. S Guide to Game of Thrones Popularity.
Alex Countries Battle It Out to Crown their Favorite In anticipation of season four of Game of Thrones, we wondered which countries identified with which characters from the epic show about kingdoms, war, and the struggle between nations (also, love and romance, but for the purposes of this post, let’s make the totality of the show about international relations). Using our vault of data (we have an install base of over 100,000 publisher sites and serve over 150 billion recommendations each month), we put together this infographic that shows which characters are most popular in which country.
Of course, our data scientists warn us against making any judgments based on inference, and we are fully aware that correlation can be due to any number of factors. King Joffrey gets the most page views per story published in the US: The United States is the only country to have this fascination with King Joffrey. Daenerys Targaryen gets the most attention from the media with the most headlines: Whitepaper Registration Confirmation. Www.oreilly.com/data/free/files/release2-issue11.pdf. How do you visualize too much data? We live in the data deluge era. You can hear it everywhere: massive databases, thousands of organizations taking decisions based on their data, millions of transactions executed every second.
Fast and large. Massive and relentless. Do you think it’s hard to find examples of databases with a million items? No, it’s not. They are everywhere. But wait a moment … how do you visualize a million items? Visualization is being developed fast and I love the way this whole community is pushing forward to create more and more clever designs. When is data too much? It’s not easy to define when data is too much. We can intuitively say that data is too much simply when it doesn’t fit the screen. But if the limit is the number of pixels then, what if we just increase the number of pixels according to the size of the data we want to visualize? But then it turns out you reach a new limit. So, when is data too much in visualization? What are the (visualization) problems with too much data?
Clutter. Data Visualization for Human Perception. How Crowdoptic's big data technology reveals the world's most popular photo objects | VentureBeat | Mobile | by Matt Marshall. Crowdoptic, a two-year-old Silicon Valley startup, says it can now determine the most popular objects of photos taken during mass-interest events, such as Hurricane Sandy and the London Olympics. We’ve written twice about the company, once after it launched, and then again after its initial funding last year. But now we’re finally getting a glimpse at what it can really do. During the London Olympics, the company says it analyzed about a 1,000 photos posted to social media sites by visitors of the Olympics, and found that the ArcelorMittal Orbit observation tower outside the Olympic Stadium was the most popular photo object. To do this, CrowdOptic first analyzed the photo metadata embedded in the EXIF format, which includes GPS position, compass heading, and time stamp.
The company did the something similar during Hurricane Sandy. Crowdoptic co-founder Jon Fisher tells me the company had initially tried to rely on an app that people downloaded on their phone. Top trends in Data Visualization 2013: Visually Meetup. With 2012 behind us — and having discussed our favorite infographics, interactive visualizations and motion graphics of the year — it was only natural that the topic of our first meetup for 2013 would be Top Trends in Data Visualization. Nearly 100 people came to the Trulia offices in SOMA, San Francisco (many thanks for being our host!) And we kicked off the evening with beer, pizza (and even some ping pong).
Of course, we weren’t there just to have fun, but also hear two very smart and talented people talk about what they think are the top trends in interactive visualizations and motion graphics. Scott Murray, a code artist, and Assistant Professor of Design at University of San Francisco, gave a presentation on the top trends in interactive visualization. A self-professed “process junkie,” Murray believes process will be a big conversation in the field this year.
You can watch his talk (and presentation) here: The importance of storytelling The importance of sharing. Flying Saucer. Big Data + Mobile + Sensors + Visualization + Gamification = Quantified Self. By @ClintonBon – Clinton Bonner If you’ve yet to dive into material and begin to understand the impact of what is called the quantified self, we suggest you do. This movement is about to get huge as the sheer volume of those classifying themselves as self-quantifiers is doubling annually. As barriers to quantified self fall – via ever smaller sensors, ever smarter data and ever more passive ways to collect and analyze the data – the continuation of individuals into the greater movement accelerates. If your world is technology and you believe in the consumerization of IT, understand now that quantified self is about to jettison the niche realm and rightfully proclaim the position of next. If you are unfamiliar with the quantified self, we recommend this previous article that defined the movement, the technologies at play and the potential impact on individuals and society.
Here is a snippet from the linked article: Here’s a super simple graphic that showcases the 5 pillars. Businesses slow to capitalise on big data opportunities. Mark Eggleton More than half of companies in the Asia Pacific region don’t really understand what big data means and the majority have been slow to adopt big data strategies according to a report undertaken by The Economist Intelligence Unit last year. Commissioned by Hitachi Data Systems, the Hype and the Hope report found while organisations in the Asia Pacific lagged behind, around 70 per cent of those surveyed believed data would improve productivity, innovation and profitability in their companies. Moreover, nearly half suggested big data would boost profits by 25 per cent or more. Unfortunately, nearly 90 per cent blame internal factors for the slow adoption of big data strategies with a lack of communication seen as the biggest hindrance. According to Hitachi Data Systems Asia Pacific Chief Technology Officer, Adrian De Luca, Australia has been particularly slow to adopt although the time is right now.
“Basically we have a website, mobile app and a tablet app. Reveals Top Predictions for IT Organizations and Users for 2013 and Beyond. ORLANDO, Fla., October 24, 2012 View All Press Releases Analysts Examine Latest Industry Directions at Gartner Symposium/ITxpo, October 21-25 in Orlando Gartner, Inc. has revealed its top predictions for IT organizations and IT users for 2013 and beyond. Gartner analysts presented their findings during Gartner Symposium/ITxpo, being held here through October 25. Gartner's top predictions focus on economic risks, opportunities and innovations that will impel CIOs to move to the next generation of business-driven solutions. "The priorities of CEOs must be dealt with by CIOs who exist in a still-turbulent economy and increasingly uncertain technology future," said Daryl Plummer, managing vice president and Gartner fellow.
Gartner's top predictions for IT organizations include the following: By Year-End 2014, three of the top five mobile handset vendors will be Chinese.Mobile phone penetration in emerging markets has resulted in a changing of the guard in terms of the leading vendors. Contacts. Tech hotshots: The rise of the dataviz expert. Computerworld - A picture's worth a million data points. That's the mantra, anyway, in business analytics these days. As the big data trend intensifies and analytics become more ingrained in corporations, the need for people who can present data in easily intelligible ways is rising. Last fall, Gartner predicted that there would be 4.4 million big data jobs by 2015, many requiring new, nontraditional skills like data visualization.
But what exactly is data visualization? Who exactly is doing this visualizing, and how is it different from creating a colorful graph or an interesting infographic? Ironically, it's hard to get a clear picture of a data visualizer. "Data visualization" as a requirement in job descriptions increased 12% over the past six months, according to Todd Nevins, co-founder of ICrunchData, a jobs board that specializes in data analytics positions. The information technology department isn't driving this train -- at least not so far. Ben fry. Www.accenture.com/SiteCollectionDocuments/PDF/Accenture-Tech-Labs-Data-Visualization-Full-Paper.pdf.
GovHack - GovHack 2014 – happening across Australia 11 – 13 July. Self-Service Analytics. DV SaaS | Data Visualization. Data Visualization I know what I think: see what I say Skip to content DV SaaS to be completed Permalink: Leave a Reply Choose how to leave your comment To prevent comment spam, you must verify you own your email address using Mozilla Persona (Browserid) by clicking the green Sign In button. <div><small>Our anti-spam system needs JavaScript to work, but your browser has it disabled. Data Visualization Powered by Blog.com. Open data hard to understand, says data.gov.uk chief | Enterprise Information Management.
Open data hard to understand, says data.gov.uk chief Users are not drawing “sensible conclusions” from public sector data sets admits UK open data chief, but visualisation could provide the answer The cabinet official behind the government’s open data initiative has conceded that users are struggling to make sense of the huge volume of public sector data sets that have been published online.
In an official podcast broadcast this week, Richard Sterling expressed concerns that the public may be coming to conclusions that “weren’t quite valid” after browsing the 2,500 data sets available on data.gov.uk. He continued that while the government has attempted to add context to data by including short contextual summaries, it may be necessary to provide visualisations of popular data sets, such as bar graphs, pie charts and scatter graphs.
Data feeds published on the website, which was launched last autumn, include themes on crime, education, health and spending. Like this: Like Loading... Data visualization implemented at Australian Institute of Health and Welfare. CARY, NC (May. 22, 2013) The Australian Institute of Health and Welfare (AIHW) has implemented SAS® Visual analytics to inform policy decisions on health, welfare and community services. AIHW recently became accredited as a data integrating authority by the Australian government, along with the Australian Bureau of Statistics, another SAS customer. As the country's national agency for information and statistics about health and welfare, AIHW aims to improve the well-being of citizens through better use of information and statistics.
Governments and community leaders use information from AIHW to discuss, debate and design policies for health, housing and community services. "The SAS Visual Analytics platform enables AIHW to analyze large and very complex data sets to provide authoritative, evidence-based information to government agencies. The Australian government requirements for integrating data sets containing sensitive information are very strict. About SAS® Visual Analytics. Www.pentaho.com/sites/default/files/uploads/resources/data_visualization_and_discovery_for_better_business_decisions.pdf. Global business intelligence spending to double in four years.
Spending on business intelligence (BI) software and services will reach $143.3bn in 2016, with two-thirds of this being invested in services. In 2012, the global BI sector was worth $79bn, according to research carried out by business and technology analyst firm Pringle & Company, but this is expected to increase an average of 16% for the next four years.
Two-thirds of the money spend on BI will be services related, as for every $1 invested in BI software, $2 will be spent on services designed to maximise its performance. The fastest growing part of the BI sector is analytics tools, with 18.8% growth in software spending and 20.9% growth in services spending, adding up to a market worth $18bn by 2016. Pringle & Company principle analyst Tom Pringle said as data volume and variety grows ever bigger, the necessary investment in technology and services to understand and successfully exploit its value will have to rise. Image: iStockphoto/Thinkstock Email Alerts. Citpsite.s3.amazonaws.com/events/big-data/Aspen-Big_Data.pdf. Www.avs.com/wp-content/uploads/2013/06/AVS_Executive.pdf. Data visualization Archives - Data Visualization Software Blog from AVS.
A New Data Visualization Paradigm? A triviality to start with: significant data growth It has been stressed over and over again, and there is no need to over-emphasize it here: every individual and every corporation both benefit and suffer from the massive data growth. They benefit because they can get access to more, more up-to-date and more precise information – about their customers, their markets, their suppliers and partners as well as their competitors and also employees and internal processes. However, they also suffer, as they have to deal with the increasing amount of data, have to manage and to store it, and have to enable decision makers to get fast access to only the relevant data. The more data available, the more analytics opportunities arise as people now can better slice and dice data, create segments, and drill down into every detail of their business. Data-driven decision-making and the need for speed Decentralization of planning and decision-making So – what’s new?
Analytics and planning merge. So what? Visualization: What's Stopping Big Data Improvement? Data Distrust Forces Drastic Decisions. The data store: on big data | News. Why you should never trust a data visualisation | News. First of all, let me be clear: the headline of this article is a reference to Pete Warden's post, and should be read in the same way - as a caution against blind acceptance, rather than the wholesale condemnation of data visualisation.
An excellent blogpost has been receiving a lot of attention over the last week. Pete Warden, an experienced data scientist and author for O'Reilly on all things data, writes: The wonderful thing about being a data scientist is that I get all of the credibility of genuine science, with none of the irritating peer review or reproducibility worries ... I thought I was publishing an entertaining view of some data I'd extracted, but it was treated like a scientific study. This is an important acknowledgement of a very real problem, but in my view Warden has the wrong target in his crosshairs. But there is: humans are visual creatures. What am I doing about it? Ultimately, I believe the solution is a two-way street. Where do you sit on this debate? Data Visualization usages during the Australian federal election. Visualizing.org | Data Visualizations, Challenges, Community.
Massive Data Visualization: A Survey. Who's Really Using Big Data - Paul Barth and Randy Bean. How to Justify Data Virtualization Investments. Ten Mistakes to Avoid When Virtualizing Data – Part 1 | Data Virtualization Leadership Blog. Visualization | Fractal Analytics. Visualization-based data discovery tools | Analytics in Action. Visualization as Process, Not Output - Jer Thorp.