Concept map - Wikipedia, the free encyclopedia - Iceweasel Diagram showing relationships among concepts A concept map or conceptual diagram is a diagram that depicts suggested relationships between concepts.[1] Concept maps may be used by instructional designers, engineers, technical writers, and others to organize and structure knowledge. Differences from other visualizations[edit] History[edit] Novak's work is based on the cognitive theories of David Ausubel, who stressed the importance of prior knowledge in being able to learn (or assimilate) new concepts: "The most important single factor influencing learning is what the learner already knows. Use[edit] Concept maps are used to stimulate the generation of ideas, and are believed to aid creativity.[4] Concept mapping is also sometimes used for brain-storming. Formalized concept maps are used in software design, where a common usage is Unified Modeling Language diagramming amongst similar conventions and development methodologies. Concept maps are widely used in education and business.
The 37 best tools for data visualization It's often said that data is the new world currency, and the web is the exchange bureau through which it's traded. As consumers, we're positively swimming in data; it's everywhere from labels on food packaging design to World Health Organisation reports. As a result, for the designer it's becoming increasingly difficult to present data in a way that stands out from the mass of competing data streams. Get Adobe Creative Cloud One of the best ways to get your message across is to use a visualization to quickly draw attention to the key messages, and by presenting data visually it's also possible to uncover surprising patterns and observations that wouldn't be apparent from looking at stats alone. And nowadays, there's plenty of free graphic design software to help you do just that. As author, data journalist and information designer David McCandless said in his TED talk: "By visualizing information, we turn it into a landscape that you can explore with your eyes, a sort of information map.
Yahoo Pipes Code Generator (Python): Pipe2Py Wouldn’t it be nice if you coud use Yahoo Pipes as a visual editor for generating your own feed powered applications running on your own server? Now you can… One of the concerns occasionally raised around Yahoo Pipes (other than the stability and responsiveness issues) relates to the dependence that results on the Yahoo pipes platform from creating a pipe. Where a pipe is used to construct an information feed that may get published on an “official” web page, users need to feel that content will always be being fed through the pipe, not just when when Pipes feels like it. (Actually, I think the Pipes backend is reasonably stable, it’s just the front end editor/GUI that has its moments…) Greg Gaughan picked up the challenge and came up with a Python code generator for doing just that, written in Python. Anyway – the code is at and it works as follows. we generate a Python version of the pipe as follows:python compile.py -p 404411a8d22104920f3fc1f428f33642
The science behind data visualisation | Design Over the last couple of centuries, data visualisation has developed to the point where it is in everyday use across all walks of life. Many recognise it as an effective tool for both storytelling and analysis, overcoming most language and educational barriers. But why is this? How are abstract shapes and colours often able to communicate large amounts of data more effectively than a table of numbers or paragraphs of text? In order to understand how we are able to interpret data visualisations so effectively, we must start by examining the basics of how we perceive and process information, in particular visual information. System 1 vs System 2 Daniel Kahnemann, in Thinking, Fast and Slow, introduces the terms System 1 and System 2 to differentiate between the information processing that occurs in our sub-conscious and conscious minds respectively. To better understand the differences between System 1 and System 2, consider Figure 1. Why visualisation? How we see Perceiving values Conclusion
DERI Pipes 20 free data visualisation tools | Infographic In this article, I want to focus on tips and tools that are free and easily accessible. There are loads of great paid tools out there, and I use many of them. But it is hard to expect someone just getting into this field to pay for expensive software without actually knowing what they are getting into. This article looks to expand the list to even more tools and resources you can use to help you get started creating beautiful data visualisations for the web and print. From data journalism, where you are scrubbing and combining datasets, to ornately designed infographic style posters, you need to understand the tools and your audience to succeed. This article will point you in the right directions to both improve your skills as well as open your eyes to new resources. Cleaning up Anyone who works with data sets will tell you that a big portion of your time is spent cleaning it up into a usable format! Over the years a more and more tools have been created to help ease the pain. Open Refine
Just in Case – Saving Your Yahoo Pipes… Yahoo is laying off again, so just in case, if you’re a user of Yahoo Pipes, it may be worth exporting the “source code” of your pipes or any pipes that you make frequent use of in case the Yahoo Pipes service gets cut. Why? Well, a little known fact about Yahoo pipes is that you can get hold of a JSON representation from a pipe that describes how the pipe is constructed… …and some time ago, Greg Gaughan started working on a script that allows you to “compile” these descriptions of your Yahoo Pipes into Python programming code that can be run as a standalone programme on your own server: Pipe2Py. From a quick skim over the Pipes service, it seems you can get hold of a list of published pipes for a user easily enough, which means we can get a quick dump of the “source code” of all the published pipes for a given user (and then maybe compile them to Python using pipe2py so we can essentially keep the functionality running…). See also: Yahoo Pipes Code Generator (Python): Pipe2Py Like this:
Data Visualization: Top 20 Amazing Tools | DATA SCIENCE REPORT - TODAY! It’s often said that data is the new world currency, and the web is the exchange bureau through which it’s traded. As consumers, we’re positively swimming in data; it’s everywhere from food labels to World Health Organisation reports. As a result, for the designer it’s becoming increasingly difficult to present data in a way that stands out from the mass of competing data streams. MR5RZMKG9XBF One of the best ways to get your message across is to use a visualisation to quickly draw attention to the key messages, and by presenting data visually it’s also possible to uncover surprising patterns and observations that wouldn’t be apparent from looking at stats alone. There are many different ways of telling a story, but everything starts with an idea. 01. iCharts The iCharts service provides a hosted solution for creating and presenting compelling charts for inclusion on your website. 02. View the 17 other Top Ranked Data Visualization Tools HERE. Top Page Ranked Blogs on Data Visualization:
Classification of Emotions Psychologists have yet to fully tackle the question “How many emotions do we have?” Part of the difficulty is because our experiences are so complex and involve so many different factors, so distinguishing one emotion from another is a lot like drawing lines of sand in the desert. It can be hard to determine where one emotions ends or another begins. Even when we analyze a commonsense emotion like “happiness” or “anger,” we know from everyday experience that these emotions come in many different degrees, qualities, and intensities. In addition, our experiences are often comprised of multiple emotions at once, which adds another dimension of complexity to our emotional experience. Despite how difficult these distinctions may be, plenty of psychologists have attempted to classify our emotions into different categories. Ekman’s List of Basic Emotions (1972) Ekman devised his list of basic emotions after doing research on many different cultures. Anger Disgust Fear Happiness Sadness Surprise
Vintage data visualization: 35 examples from before the Digital Era This is a guest post by Tiago Veloso, the founder of Visual Loop, a collaborative digital environment for everything related to information design and data visualization. He lives in Brazil, and you can connect with him online on Twitter and LinkedIn. If you follow us regularly on Visual Loop, you’ve probably noticed we like to featured not only modern interactive visualizations and infographics, but also examples from the past, from the time when there were no computer softwares to help analyzing and designing and no Internet to access and share data. Graphics, charts, diagrams and visual data representations have been published on books, newspapers and magazines since they exist, not to mention old maps and scientific illustrations, and despite the lack of tools such as the ones we have at our disposal nowadays, they are as inspiring and important as the best contemporary visualizations. A Map of Physics (1939) (A 1939 Map of Physics) (Via Strange Maps) (image:John Snow,1854 ) (image:P.