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The Top 20 Infographics of 2013 (3 of 3)

The Top 20 Infographics of 2013 (3 of 3) | Big Data - Visual Analytics | Scoop.it

'Like most recent years, 2013 has been packed full of infographics. Some were about current events, others just covered cool topics. A lot of those infographics turned out pretty awesome, so here are 20 of our 2013 favorites.'


Via Lauren Moss
Andreas Maniatis's insight:

8. Don't Smoke (http://visual.ly/dont-smoke) is definitely my favourite.

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Terheck's curator insight, December 26, 2013 5:43 AM

Some very nice infographics

Emeric Nectoux's curator insight, January 1, 2014 4:29 AM

Very nice...

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A Snapshot of Current Trends in Visualization

A Snapshot of Current Trends in Visualization | Big Data - Visual Analytics | Scoop.it

The five articles featured in this issue of Computing Now represent the best visualization research in recent years. Some demonstrate visualization's significant role as a ubiquitous technology that impacts nearly every walk of life. Others reflect the current and emerging trends in visualization and its subfields.

Andreas Maniatis's insight:

A gathering of the most recent influential articles from IEEE's Computing Now, exemplifying current trends in computer-generated visualization.

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Visual proofs we need to put an end to the Anti-Vaccination conspiracy theory now!

Visual proofs we need to put an end to the Anti-Vaccination conspiracy theory now! | Big Data - Visual Analytics | Scoop.it
The number of infected people, measured over 70-some years and across all 50 states and the District of Columbia, generally declined after vaccines were introduced.
Andreas Maniatis's insight:

Battling Infectious Diseases in the 20th Century: The Impact of Vaccines couldn't be more decisive! We need to put an end to the Anti-Vaccination conspiracy theory now!

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Data Scientist: The Sexiest Job of the 21st Century

Data Scientist: The Sexiest Job of the 21st Century | Big Data - Visual Analytics | Scoop.it
Meet the people who can coax treasure out of messy, unstructured data.
Andreas Maniatis's insight:

A Classic article series from the Harvard Business Review. This Article is now considered to be "classic", and this in less than two years.

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The elephant in the room: getting value from Big Data

The elephant in the room: getting value from Big Data | Big Data - Visual Analytics | Scoop.it
Big Data, and its 4 Vs - volume, velocity, variety, and veracity - have been at the forefront of societal, scientific and engineering discourse. Arguably the most important 5th V, value, is not talked about as much. How can we make sure that our data is not just big, but also valuable? WebDB workshop, which will be co-located with ACM SIGMOD, will provide a premier venue for discussing issues of big data quality. Its theme is "Freshness, Correctness, Quality of Information and Knowledge on the
Andreas Maniatis's insight:

Interviews with Data Science authorities, such as Serge Abiteboul (INRIA Saclay & ENS Cachan), Oren Etzioni (Allen Institute for Artificial Intelligence), Divesh Srivastava (AT&T Labs-Research) with Luna Dong (Google Inc.) and Gerhard Weikum (Max Planck Institute for Informatics), about their motivation for doing research in the area of data quality, their current work, and their view on the future of the field.

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Data preparation is the unsung hero of big data analytics

Data preparation is the unsung hero of big data analytics | Big Data - Visual Analytics | Scoop.it
Solutions that cleanse and prepare data will become more valuable as businesses look to spend more time analyzing it.
Andreas Maniatis's insight:

Why are we Data Scientists hiding the fact that Big Data Analytics projects, pretty much like Data Warehousing projects, include phases for ETL, Data Mashups and, generally, for data preparation?

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Using Legos to Teach Super Bowl Data Visualization

Using Legos to Teach Super Bowl Data Visualization | Big Data - Visual Analytics | Scoop.it
Concerned that he wasn't spending enough time on the "mental tools" behind data visualization, one professor turned to Legos to help teach the skill.
Andreas Maniatis's insight:

You can start out your early teachings of that particular complex skill by using Legos!

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Can Open data turn Europe’s digital desert into a digital rainforest? Prof. Dirk Helbing | Horizon Magazine - European Commission

Europe needs to pursue a different strategy from Silicon Valley if it is going to reap the social and economic benefits of big data, according to Dirk Helbing, Professor of Computational Social Science at ETH Zurich, who aims to create an open, real-time data stream from the Internet of Things

Andreas Maniatis's insight:

Europe is struggling to become a player in the Big Data game, but does it stand a chance?

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How to Lie with Visualizations: Statistics, Causation vs Correlation, and Intuition!

How to Lie with Visualizations: Statistics, Causation vs Correlation, and Intuition! | Big Data - Visual Analytics | Scoop.it
Post adapted from Correlation vs Causation: Visualization, Statistics, and Intuition!

As someone who has a tendency to think in numbers, I love when success…
Andreas Maniatis's insight:

As we move towards an even larger and more interconnected world, expect to see more "Universal" data points and actively promote them. In the long run, it'll make analysis more resilient and dynamic.

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Project Data Sphere: Share, Integrate & Analyze Cancer Research Data

Project Data Sphere: Share, Integrate & Analyze Cancer Research Data | Big Data - Visual Analytics | Scoop.it
The Project Data Sphere initiative is a platform to share, integrate and analyze Phase III comparator arms of historical cancer data to accelerate research.
Andreas Maniatis's insight:
What if we could share, integrate, and analyze our collective historical cancer research data in a single location?
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The Modern Beauty of 19th-Century Data Visualizations

The Modern Beauty of 19th-Century Data Visualizations | Big Data - Visual Analytics | Scoop.it
These high-quality poster reproductions from an 1870s statistical atlas are at once gorgeously designed and utterly antiquated.
Andreas Maniatis's insight:

Astounding hand made data visualizations. It's not the visualization tools, it's the talent and commitment that produce such beautiful and meaningful results!

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The State of Information Visualization, 2015

The State of Information Visualization, 2015 | Big Data - Visual Analytics | Scoop.it
It seems to be a foregone conclusion that 2014 was not an exciting year in visualization. When we recorded the Data Stories episode looking back at 2014 last week (to be released soon), everybody started out with a bit of a downer.
Andreas Maniatis's insight:

Maybe biased, but coming from an important information visualization influencer

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Finalists Of The 2014 Innovation By Design Awards: Data Visualization

Finalists Of The 2014 Innovation By Design Awards: Data Visualization | Big Data - Visual Analytics | Scoop.it
A healthier, brighter, more efficient world doesn't just happenit happens by design.
Andreas Maniatis's insight:

Inspirational artistic perfection on Visual Analytics

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Why IT Fumbles Analytics - HBR

Why IT Fumbles Analytics - HBR | Big Data - Visual Analytics | Scoop.it
Tech projects should focus less on technology and more on information.
Andreas Maniatis's insight:

More "Oldies but Goodies" from the HBR:

"Deploying analytical IT tools is relatively easy. Understanding how they might be used is much less clear”.

In their quest to extract insights from the massive amounts of data now available from internal and external sources, many companies are spending heavily on IT tools and hiring data scientists. Yet most are struggling to achieve a worthwhile return. That’s because they treat their big data and analytics projects the same way they treat all IT projects, not realizing that the two are completely different animals.

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Why Did Computer Science Make a Hero Out of Turing?

Why Did Computer Science Make a Hero Out of Turing? | Big Data - Visual Analytics | Scoop.it
Comparing the legacy of Alan Turing in computer science with that of Carl Friedrich Gauss in mathematics.
Andreas Maniatis's insight:

We all need our heroes. And so does Computer Science.

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Companies Turn to Existing Employees for Big Data Skills

Companies Turn to Existing Employees for Big Data Skills | Big Data - Visual Analytics | Scoop.it

Thomas Davenport set off an explosion of interest in big data when he described "data scientist" as "the sexiest job of the 21st century" in his now-infamous 2012 Harvard Business Review article. In the excitement that followed, colleges and universities have scurried to establish big data programs and companies struggled to understand exactly what a data scientist does.

Andreas Maniatis's insight:

Multi-Skilled personnel with a mix of talent and skills can be hard to find, so Big-Data Startups suggests that companies start paying attention to the available talent in house and retrain them to match the requirements of today’s fast-changing environment.

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FiveThirtyEight's Election-Style Oscar Predictions

FiveThirtyEight's Election-Style Oscar Predictions | Big Data - Visual Analytics | Scoop.it
Oscar night is days away. Presumably the Stonecutters are just about done rigging it, so let's lay out our best predictions for who's going to go home with statuettes. Here's how we figure this: Un...
Andreas Maniatis's insight:

Analytics choose the Oscar Award Winners. Are their predictions accurate?

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The Best Data Visualization Projects of 2014

The Best Data Visualization Projects of 2014 | Big Data - Visual Analytics | Scoop.it

The Refugee Project: This interactive by Hyperakt and Ekene Ijeoma shows United Nations estimates for refugees around the world from 1975 to 2012. There's a fine aesthetic and usability, but the callouts to events in history make the Refugee Project one to come back to.

Andreas Maniatis's insight:

One of the many noteworthy visualization projects listed in the link.

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Open Payments: A Medicare Data Transparency platform

Open Payments: A Medicare Data Transparency platform | Big Data - Visual Analytics | Scoop.it

Sometimes, doctors and hospitals have financial relationships with health care manufacturing companies. These relationships can include money for research activities, gifts, speaking fees, meals, or travel. The Social Security Act requires CMS to collect information from applicable manufacturers and group purchasing organizations (GPOs) in order to report information about their financial relationships with physicians and hospitals. Open Payments is the federally run program that collects the information about these financial relationships and makes it available to you.

Andreas Maniatis's insight:

An excellent anti-corruption and transaction transparency platform.

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Is Velocity the key differentiator among the 3 V's for Big Data?

Is Velocity the key differentiator among the 3 V's for Big Data? | Big Data - Visual Analytics | Scoop.it

Data Should Be Faster, Not Just Bigger

Andreas Maniatis's insight:

Machine-generated, real-time data can be a competitive advantage.

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Mapping the U.S. using bridges — and nothing else

Mapping the U.S. using bridges — and nothing else | Big Data - Visual Analytics | Scoop.it

A surprisingly accurate map of the U.S. made with 600,000 bridges.

Andreas Maniatis's insight:

1 dot = 1 bridge

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Big Data. Big Obstacles.

Big Data. Big Obstacles. | Big Data - Visual Analytics | Scoop.it
The privatization of information, amateurization of analysis, and Balkanization of social science threaten to undermine mega-statistics' usefulness.
Andreas Maniatis's insight:

An anti-mainstream and annoying fact about Big Data: Researchers cannot easily access "Really Big Data"

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Visuals to help us understand the law

Visuals to help us understand the law | Big Data - Visual Analytics | Scoop.it
Why couldn’t law be designed by designers as well? Designers, humans being who love beauty and keep users in mind. It seems we’re getting there.
Andreas Maniatis's insight:
Beautiful law: how design and visualisation can make law simpler, useful and even fascinating
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IEEE Computer Society 2022 Report - IEEECS

IEEE Computer Society 2022 Report - IEEECS | Big Data - Visual Analytics | Scoop.it

Nine technical leaders of the IEEE Computer Society joined forces to write a technical report, entitled IEEE CS 2022, symbolically surveying 23 potential technologies that could change the landscape of computer science and industry by the year 2022. In particular, this report focuses on 3D printing, big data and analytics, open intellectual property movement, massively online open courses, security cross-cutting issues, universal memory, 3D integrated circuits, photonics, cloud computing, computational biology and bioinformatics, device and nanotechnology, sustainability, high-performance computing, the Internet of Things, life sciences, machine learning and intelligent systems, natural user interfaces, networking and inter-connectivity, quantum computing, software-defined networks, multicore, and robotics for medical care.

Andreas Maniatis's insight:

Big Data expected to be a still alive and kicking technology in 2022!

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The Internet of Things has four big data problems

The Internet of Things has four big data problems | Big Data - Visual Analytics | Scoop.it
The Internet of Things (IoT) has a data problem. Well, four data problems. Walking the halls of CES in Las Vegas last week, it’s abundantly clear that the...
Andreas Maniatis's insight:

... the 4th is the most important one: Content is the "King".

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Open Source Analytics Databases Keep Chipping Away Vendor's Empire

Open Source Analytics Databases Keep Chipping Away Vendor's Empire | Big Data - Visual Analytics | Scoop.it
The three fastest growing databases of 2014 were all open source, according to a new report.
Andreas Maniatis's insight:

The ever popular new-age database MongoDB topped the list again this year, withRedis, a tool for managing data, and ElasticSearch, which provides the foundations for building your own search engine, as runners up. All, with a strong flavor for Big Data - Analytics support.

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Data Brokers Are Watching You

Data Brokers Are Watching You | Big Data - Visual Analytics | Scoop.it

You would be surprised by how much Data Brokers know about you, and what they are doing with your information.

Andreas Maniatis's insight:

Aided by advances in data science and the increased digitization of analog information, an industry little known to the public is quietly compiling comprehensive dossiers on millions of Americans (and others). These companies, called data brokers, say they operate within the law, but the unprecedented breadth and depth of the data files, the difficulty in correcting erroneous data, and the potential for abuse of personal information are raising alarms from privacy advocates, consumer groups, and government officials.

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