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Tools and libraries for visualization

Here are some tools and libraries that can be used in our project.

TileMill is a free application for making maps and visualization of geospatial data.

TileMill: Adding data from Development Seed on Vimeo.

Such visualization is possible to make with d3.js library. It can be used for visualization of bibliographic coupling for example.

 

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Time Series Visualization with Cube

Today I stumbled upon Cube, an Open Source system for visualizing time series data. The system is based on Node.js, MongoDB and D3.js. The developers of the “half-baked but still tasty” tool describe Cube as:

an open-source system for visualizing time series data, built on MongoDB, Node and D3. If you send Cube timestamped events (with optional structured data), you can easily build realtime visualizations of aggregate metrics for internal dashboards. Cube speaks WebSockets for low-latency, asynchronous input and output: new events are streamed in, and requested metrics are streamed out as they are computed. (You can also POST events to Cube, if that’s your thing, and collectd integration is included!) Metrics are cached in capped collections, and simple reductions such as sum and max use pyramidal aggregation to improve performance. Visualizations are generated client-side and assembled into dashboards with a few mouse clicks.

They also share a video on building an analytical dashboard in 60 seconds (the video is actually only 31 seconds long though), which shows the capabilities and speed of Cube.

I think it could be a strong candidate for future implementation in the project group. What do you think?

 

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Tableau Public

Free tool for interactive data visualization with opportunity to embed it in a website.

 

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Gephi for Graph Visualization

Gephi is a tool for people that have to explore and understand graphs. Like Photoshop but for data, the user interacts with the representation, manipulate the structures, shapes and colors to reveal hidden properties. The goal is to help data analysts to make hypothesis, intuitively discover patterns, isolate structure singularities or faults during data sourcing. It is a complementary tool to traditional statistics, as visual thinking with interactive interfaces is now recognized to facilitate reasoning. This is a software for Exploratory Data Analysis, a paradigm appeared in the Visual Analytics field of research.

 

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Augmented reality with handheld projectors

I was talking with some people about future technologies for learning and we explored some existing technologies for augmenting reality with mobile projectors, Microsoft Kinect and holographics. Check out this videos to see what can be done already today.

 
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Posted by on 13.11.2011 in Technologies, Video

 

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Comparison of design principles for navigating large data sets

In a very recent video Bram Vandeputte compares two design principles for navigating large data set on their multitouch table. The first design principles comes from Ben Shneiderman (2003) and is called “overview first”. The other one has been made known by Jeffrey Heer and danah boyd and is based on “start with what you know, then grow” (2005) the view from there. Here is the video and the according blog post.

 
 

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Plagiarism explained

The cool people at commoncraft created a new video that explains the basics of plagiarism and how to avoid it. As the video is not allowed to be embedded unless you become a commoncraft member you will need to go to their site. However, here is the video transcript:

This is Plagiarism Explained by Common Craft.

You have something in common with the smartest people in the world. You see, everyone has ideas. We use our minds to create something original, whether it’s a poem, a drawing, a song, or a scientific paper.

Some of the most important ideas are published and make it into books, journals, newspapers and trustworthy websites that become the building blocks for things we all learn.

But ideas are also very personal, and we need dependable ways to keep track of the people behind the ideas we use because they deserve credit for their contribution, just as you do if someone uses your idea. Passing off another person’s ideas or words as your own, without credit, is called plagiarism. Whether it’s your friend’s term paper or words of a well-known author, plagiarism is cheating and dishonest.

Meet Cassie, a university student. She has an assignment to write a paper about changing weather patterns. Cassie’s project involves building on other people’s ideas that she finds in books, magazines, and websites.

She’s not the kind of person who would plagiarize by turning in someone else’s work, but she is aware that plagiarism can happen accidentally, so she follows some basic rules:

First, when she quotes an author directly, she uses quotations marks around the words to show that they are not hers, alongside a mention of the author’s name. She even does this in her notes to make sure she doesn’t forget.

Second, she’s careful to use only her own words when she’s not quoting directly. She can summarize or paraphrase an idea, as long as she’s accurate and references the original source. For example, she begins with “As Smith found”.

Third, ideas like drawings, speeches, music, structural models, and statistics can also be plagiarized. Like words, she can use them as long as she gives credit.

And lastly, she’s aware that some ideas are common knowledge and don’t need a source. For example, the idea that rain falls from clouds is common knowledge and doesn’t need a source, but rainfall measurements by a weather agency does require credit.

A few weeks later Cassie turned in her paper with the confidence that she had avoided plagiarism and maybe even provided some new ideas that other students in her field could use in the future, with credit, of course.

I’m Lee LeFever, and this has been Plagiarism Explained by Common Craft.

 
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Posted by on 26.10.2011 in Plagiarism, Video

 

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