Visualization Techniques and Practice
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Visualization Techniques and Practice
How to use visualization techniques for nonprofits in areas like data analysis, learning, facilitation, and innovation
Curated by Beth Kanter
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Artists use data to make political statements

Artists use data to make political statements | Visualization Techniques and Practice | Scoop.it

Big data can feel impersonal, overwhelming and cold. But stark statistics are now being used to make intimate statements through art and public advocacy.


The past few years have seen the widespread availability of a large amount of data, thanks largely to the internet.

Census reports are easily searchable, campaign polling is expertly parsed and analysed, and online dating behaviour provides a glimpse into human sexuality.


Now more artists are using these impersonal details to make an impassioned statement; visit the article link for examples.


Via Lauren Moss
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Astrakhan's comment, February 9, 2013 3:44 AM
DataScientists = Data Artists
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6 Illuminating Big Data Infographics

6 Illuminating Big Data Infographics | Visualization Techniques and Practice | Scoop.it

Is Big Data still a big mystery to you? 

In recent years, the volume of information coming into companies has exploded, so that many IT organizations are dealing with extremely large sets of data. 

IT leaders are rethinking many aspects of how they manage and deliver information, from investments in infrastructure and analytics tools to new policies for organizing and accessing data so they can deliver more of it, faster. They are concerned that if they don't have the right tools and architectures to deal with all that information, then big data can be a big problem. Check out these infographics on Big Data to see the impact...


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Aurélia-Claire Jaeger's curator insight, January 21, 2013 2:28 AM

Et en plus, c'est beau !

Ron McIntyre's curator insight, January 21, 2013 10:46 AM

The ability to access and translate BIG DATA will hold the possibility of making teams more successful.  What is IT doing to make it happen?

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Data Jujitsu: The art of turning data into product - O'Reilly Radar

Data Jujitsu: The art of turning data into product - O'Reilly Radar | Visualization Techniques and Practice | Scoop.it
Having worked in academia, government and industry, I've had a unique opportunity to build products in each sector. Much of this product development has been around building data products.
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Wild Apricot Blog : Big Data For Small Organizations

Wild Apricot Blog : Big Data For Small Organizations | Visualization Techniques and Practice | Scoop.it

Curated by Beth Kanter

http://www.bethkanter.org


Good round up of articles on Big Data and how it applies to nonprofi sector.

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The KIDS COUNT Infographic Challenge: Partner Resource Page | SparkAction

The KIDS COUNT Infographic Challenge: Partner Resource Page | SparkAction | Visualization Techniques and Practice | Scoop.it
 Sponsors  |  Social Media Samples  |  Logos & Buttons  |  Press Release  | Contacts  ...
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In The Future, The Data Scientist Will be Replaced by Tools

In The Future, The Data Scientist Will be Replaced by Tools | Visualization Techniques and Practice | Scoop.it
Gnip data scientist Scott Hendrickson looks at both arguments on whether data scientists can be replaced by data tools.
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Data Analytics & Big Data: An infographic guide

Data Analytics & Big Data: An infographic guide | Visualization Techniques and Practice | Scoop.it

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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Aurélia-Claire Jaeger's curator insight, January 31, 2013 3:03 AM

Superbe infographie pour un résumé en image !

Shawn Neville's curator insight, January 31, 2013 10:49 AM

Big Data clarity from Deloitte....

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Infographic: the Future of Big Data

Infographic: the Future of Big Data | Visualization Techniques and Practice | Scoop.it

Big data is not new. It has existed for ages and can be attributed even to the initial years of computing. However, one might do well to consider why is there an increased buzz around this now.

The answer is quite simple: Significant advances that have been brought about by x86 hardware have actually helped in bringing computing power to the masses. However, with new technologies, cloud computing has extended this power. Now, users have extended perimeters, while still being able to control costs effectively...


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How nonprofits should be using data | Socialbrite

How nonprofits should be using data | Socialbrite | Visualization Techniques and Practice | Scoop.it

Curated by Beth Kanter

http://www.bethkanter.org


How to think about data in your organization, including an inventory worksheet. 

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A Picture is Worth 1000 Words

7th Annual Media Maven Luncheon hosted by CCTV & Common Good Vermont Burlington, Vermont 21 September 2012...
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The Data Scientist Will Be Replaced By Tools - Forbes

The Data Scientist Will Be Replaced By Tools - Forbes | Visualization Techniques and Practice | Scoop.it
We’ve barely started to use the term “data scientist” and the demise of this new profession is already predicted? Well, it’s not one more “rise of the machines” prophecy but instead the provocative title of a proposed panel for the upcoming SXSW.
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SXSW PanelPicker

Can data science tools replace data scientists before this field has even taken flight?

Many startups and established companies are building tools that enable users to enact data science by interacting with data at a high level. We will debate the proposition, "In the future, data scientists will be replaced by data science tools." The goal will be to explore the definitions and assumptions data scientists and people who develop tools about the line between best practices and human expertise.

Ultimately, the panel will explore what unique attributes data scientists and tools bring to the field of data science.

Questions Answered

What tools do data scientists need? More specifically, what tools improve productivity and can tools keep data scientists from making mistakes?
How do the tools that data scientists use define them? More specifically, how do they choose the tools, in which ways do they depend on them and do they credit tools with any of their successes.
What are the most human parts of data science, and what parts of data science can be mechanized without loss and what can be improved with mechanization? Essentially, what aspects of a data scientists bag of skills and tools can and can not be replaced with software?
How much and what type of data science expertise can be built into tools? What is your experience with tools that allow domain experts with little programming and minimal statistics experience or training to perform analysis that results in new products, better business decisions, new insights into customer or partner behavior?
What is the future of data and statistics tools in 6 months, 5 years and 10 years? How will these tools evolve, and what capabilities will be added? Predict a surprise feature or capability we will see in data/analysis tools in the far future.

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Data Literacy: Skills To Analyze Data

Data Literacy: Skills To Analyze Data | Visualization Techniques and Practice | Scoop.it

Curated by Beth Kanter

http://www.bethkanter.org


Do your employees have the skills to benefit from big data? As Tom Davenport and DJ Patil note in their October Harvard Business Review article on the rise of the data scientist, the advent of the big data era means that analyzing large, messy, unstructured data is going to increasingly form part of everyone's work. Managers and business analysts will often be called upon to conduct data-driven experiments, to interpret data, and to create innovative data-based products and services. To thrive in this world, many will require additional skills.


  • Ready to experiment: How to apply the principles of scientific experimentation to their work.    Intelligent hypotheses.  
  • Adept at Math Reasoning:   How can you interpret numeric data.  You don't have to be a statistician, but how to apply it.
  • See the Big Picture:  Manipulating, managing, and intepretating data, including not just numbers, but text and images.  Data literacy skills must spread into every aspect of operating a nonprofit or business.

Tomorrow's leaders need to ensure that their people have these skills, along with the culture, support and accountability to go with it. In addition, they must be comfortable leading organizations in which many employees, not just a handful of IT professionals and PhDs in statistics, are up to their necks in the complexities of analyzing large, unstructured and messy data.


It is about fostering a data-driven mindset and analytical culture as it is about adopting new technology.

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