Data Visualization: Know-how
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Free Technology for Teachers: Seven Essentials of Good Infographic Design

Free Technology for Teachers: Seven Essentials of Good Infographic Design | Data Visualization: Know-how | Scoop.it

Last week I posted a review of Randy Krum's Cool Infographics then followed-up by posting Five Good Online Tools for Creating Infographics. Consider this a second follow-up to my Cool Infographics book review. In his book Randy Krum goes into much more detail on each of these key elements of good infographic design. These are the elements of good design that he outlines in his chapter about designing infographics. You can get a sample chapter of the book here.

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The answer is pictures. The question: How do you make huge amounts of data comprehensible?

The answer is pictures. The question: How do you make huge amounts of data comprehensible? | Data Visualization: Know-how | Scoop.it
Visualization technology can turn massive amounts of data into pictures that are far more comprehensible, allowing businesses to get the most out of the troves of information they collect.
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When Visualizing Data, You Have to Fail to Succeed

Create at least 10 visualizations to find the one that works.
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The Data Visualization Beginner’s Toolkit #2: Visualization Tools — Fell in Love with Data

The Data Visualization Beginner’s Toolkit #2: Visualization Tools — Fell in Love with Data | Data Visualization: Know-how | Scoop.it

The DVBTK #1 introduced books and study material to make sure you acquire the right knowledge in the right order. Studying is the first step and there’s no level of practice that can substitute for it.

That said, it is extremely important to realize that good visualization cannot happen without practice. It’s not only that practice is a necessary complement to theory, but also that you will understand the theory only once you apply it for real.

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Making maps with Google Fusion Tables » The Data Mine

Making maps with Google Fusion Tables » The Data Mine | Data Visualization: Know-how | Scoop.it

This past weekend, I published my first map using Google Fusion Tables. I had been hearing a lot about this free online application from my computer-assisted reporting colleagues around the country, but hadn’t dipped my toe in (largely due to a fear that it would take me forever to learn it — time that I just don’t have). But I forced myself to dive in and it didn’t take as long as I thought.

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Data Visualisation

Data Visualisation | Data Visualization: Know-how | Scoop.it
Learn to use infographics to present complex information simply, elegantly and beautifully • Multiple dates available • Location: The Guardian, King's Cross, London • Price: £250
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If you want to learn to create those stunning data visualizations.

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A Beginner's Guide to Big Data Visualization | SmartData Collective

A Beginner's Guide to Big Data Visualization | SmartData Collective | Data Visualization: Know-how | Scoop.it
The goal of data visualization is to make all data easy for a viewer to understand; keep this in mind whenever creating visual representations of big data or business intelligence visualizations.
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Grudge Match: Pie Chart vs. Bar Chart | VizThinker

Grudge Match: Pie Chart vs. Bar Chart | VizThinker | Data Visualization: Know-how | Scoop.it

If you follow the data visualization cognoscenti at all you’ll know that the prevailing school of thought is that bar charts are vastly superior to pie charts. That prevailing wisdom was called into question last week as a recent study from Tufts University gained attention from Timo Elliott on the Business Analytics website, possibly reigniting the long-running debate about pie charts. 

The Tufts study was ostensibly designed to “determine the effectiveness of functional near-infrared spectroscopy (fNIRS) in distinguishing differences in cognitive states that derive from visual design alone”. It compared bar graphs and pie charts to “test the viability of fNIRS for measuring the impact of a visual design on the brain. The results demonstrated that we can indeed measure this impact, and furthermoremeasurements indicate that there are not universal differences in bar graphs and pie charts” (emphasis added).

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Goal of Data Visualization

Goal of Data Visualization | Data Visualization: Know-how | Scoop.it
The visual representation of data, is more scientific than artistic. The main goal of data visualization is effectively, efficiently.
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8 Horrible Data Visualizations That Make No Sense

8 Horrible Data Visualizations That Make No Sense | Data Visualization: Know-how | Scoop.it
Data visualization can be a great way to drive numbers home and give them a visual weight mere statistics don't have. At least, that's what happens when they make sense. Sometimes visualizations are downright dumb and just make things worse.
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How Data Visualization Experts See the Future

How Data Visualization Experts See the Future | Data Visualization: Know-how | Scoop.it
Data visualization software tools have kept pace with the growth of data and data types. Even better, these tools are getting into the hands of regular business people.
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Processing tutorial: Overview of data visualization | VizThinker

Processing tutorial: Overview of data visualization | VizThinker | Data Visualization: Know-how | Scoop.it

For some time now I’ve wanted to branch out beyond static and video infographics and dabble in interactive, programming-based visualizations. There’s a lot of options out there, but rather than try to decide which was best, I finally just decided to jump in and start learning Processing. While looking for tutorials, I came across this video from Lynda.com that’s not only an overview of what can be done in Processing, but a nice historical overview of data visualization in general.

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Video included.

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Patterns for Information Visualization

Patterns for Information Visualization | Data Visualization: Know-how | Scoop.it

About 2 years ago I’ve become very much interested in UX and everything about UX. This interest has eventually evolved into strong awareness of presenting information, visually in particular. One just can’t help thinking in terms of visualization when reading Tufte, Cleveland and Berten. Ideas come pouring in all the time: how to make things more visual, easier to grasp, more clear (in our product, in particular).

I will try to share this feeling and tell more about the principles of information visualization based on some very impressive stories. I beg your pardon for a couple or two boring definitions. There’re no jokes in this article, intentionally. It’s a deadly serious business, so scrape up all your patience and read on.

Disclaimer: the article is quite lengthy. Even so, it’s my sincere hope that you will get over it in no time, as I can’t stress enough how engaging and fascinating the subject is.

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This is Visual Journalism [44] | Visual Loop

This is Visual Journalism [44] | Visual Loop | Data Visualization: Know-how | Scoop.it
Check out the fresh infographics published on newspapers and magazines across the world (ICYM: This is Visual Journalism [44] +30 recent #infographics published on newspapers and magazines http://t.co/Qzi9jIju2M)...
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The top 20 data visualisation tools | Feature | .net magazine

The top 20 data visualisation tools | Feature | .net magazine | Data Visualization: Know-how | Scoop.it
From simple charts to complex maps and infographics, Brian Suda's round-up of the best – and mostly free – tools has everything you need to bring your data to life
Piktochart's insight:

Which one you prefer?

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Become An Expert Data Analyst Overnight Using Google Spreadsheet Report Tools

Become An Expert Data Analyst Overnight Using Google Spreadsheet Report Tools | Data Visualization: Know-how | Scoop.it
Some people like golfing. Some people enjoy surfing. Still other people are running enthusiasts. And then...there are the data hounds.
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Beyond Infographics: The Use of Video In Data Visualization

Beyond Infographics: The Use of Video In Data Visualization | Data Visualization: Know-how | Scoop.it

Like infographics, video and motion graphics use text and graphic elements (drawings, typography, charts, etc.) to tell an educational story. Unlike infographics, they have such tools at their disposal as animation, live action video, music, and narration to do it.

Video has many benefits: it’s dynamic, engages the senses, changes over time, includes multimedia elements, and is a familiar and enjoyable format for many viewers. On the other hand, video has a time limit, may require loading, is easily overwhelming, isn’t easily referenced at a glance, and relies on a viewer’s willingness to watch (as opposed to an infographic that’s displayed all at once).

Clearly, video is best for some projects, while infographics better serve others. Here is an examination of some of the great potential of the video format, and a look at some potential problems.

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Disruptive Possibilities: How Big Data Changes Everything - O'Reilly Media

In Disruptive Possibilities: How Big Data Changes Everything, Jeffrey Needham enlightens Fortune 500 enterprises about the Big Data ecosystem as they begin to channel their data from stranded silos into an accessible reservoir of possibility and discovery. This book explains where commercial supercomputing came from, as well as its impact on the future of computing.

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Map Visualization Using MapBox & TileMill | VizThinker

Map Visualization Using MapBox & TileMill | VizThinker | Data Visualization: Know-how | Scoop.it

A few weeks ago Nathan Yau wrote about making customizable maps with TileMill. It looked like it would be a great resource for making custom maps for infographics and video infographics so I made a note to check it out when I had some spare time.

It being a Friday afternoon, I found myself with some free time and downloaded the free TileMill application from MapBox and followed their crash course to make my first data visualization map. The resulting map uses earthquake data from the USGS to map the locations of all earthquakes worldwide between October 27 and November 2, 2012 and sizes the bubbles by magnitude of the quake (I’ll forgo the critique of using bubbles to show magnitude since this was just a tutorial).

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50 New Tools Democratizing Data Analysis & Visualization

50 New Tools Democratizing Data Analysis & Visualization | Data Visualization: Know-how | Scoop.it
Just as we've seen the shift to "DIY" data collection platforms, we're also seeing the development of a whole new class of self-service data exploration and visualization tools.
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We are 90% visual beings

We are 90% visual beings | Data Visualization: Know-how | Scoop.it
The 90% of the transmitted information in the human brain is visual. While others animals, such as the dog is characterized by the sense of smell, or hearing sense in the case of bat; the human is undoubtedly a Visual Being.
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Interaction with Data Visualization

Interaction with Data Visualization | Data Visualization: Know-how | Scoop.it
The data interpretation significantly depends on the interaction in data visualization.
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7 Pioneers of Data Visualization | DataRemixed

7 Pioneers of Data Visualization | DataRemixed | Data Visualization: Know-how | Scoop.it

I’m delighted to be able to deliver a presentation this coming Monday at TCC13 at 4pm called “7 Things We Can Learn from the Pioneers of Data Visualization”. The timeline and visualization below reveal the seven pioneers we’ll be considering, but I won’t reveal the “7 things” we can learn from them until the session itself. If you’re at TCC, be sure to swing by the Chesapeake 4-6 conference room to hear what they are. Suffice it to say that anyone who has ever tried to change their corner of the world by communicating data to others will make seven new friends before the session is over.

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PBS: The Art of Data Visualization | VizThinker

PBS: The Art of Data Visualization | VizThinker | Data Visualization: Know-how | Scoop.it

PBS just published a video about data visualization. Personally, I think they did a decent job representing the spectrum of style of data visualizations and infographics, with Edward Tufte representing the ultra conservative right wing side of the debate and Josh Smith of Hyperakt and Jer Thorp of Office for Creative Research representing the artistic-focused, liberal left wing. Data visualization means different things to different people – different people want different things out of it, and the video shows that there’s more than one perspective in the ongoing debate about infographics and visualization. But, if you disagree with that premise and lean to the conservative side of the debate, you’ll relish Stephen Few’s take on the video – A Gourmet Tufte Sandwich with Confetti Filling.

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Video included.

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Why data visualization matters?

Why data visualization matters? | Data Visualization: Know-how | Scoop.it
Data visualization reveals unnoticed pattern, especially in large data sets; gives answers faster; helps journalists investigate cause-effect relationship
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