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[zz]数据之美

2009/06/17
转载的,实在太美了,我的人脉关系系统取到数据之后也会用jQuery最新插件jqPlot等来展示出很漂亮的图。
译文地址:http://blog.csdn.net/comsharp/archive/2009/06/10/4257687.aspx
原文地址:http://www.webdesignerdepot.com/2009/06/50-great-examples-of-data-visualization/

Wrapping your brain around data online can be challenging, especially when dealing with huge volumes of information.

And trying to find related content can also be difficult, depending on what data you’re looking for.

But data visualizations can make all of that much easier, allowing
you to see the concepts that you’re learning about in a more
interesting, and often more useful manner.

Below are 50 of the best data visualizations and tools for creating
your own visualizations out there, covering everything from Digg
activity to network connectivity to what’s currently happening on
Twitter.

Find Out How Serious...

Music, Movies and Other Media

Narratives 2.0 visualizes music. Different music tracks are segmented into single channels that are then shown in a fan-like structure.

Liveplasma
is a music and movie visualization app that aims to help you discover
other musicians or movies you might enjoy. Type in the name of a band,
artist, movie, director or actor and liveplasma will show you related
people, bands or movies.

Tuneglue
is another music visualization service. Just type any artist or band
into the search box and hit enter. A circle comes up representing that
band. You can then expand from there, clicking on any new additions
after each expansion to expand further. By click on “releases” you can
order their albums from Amazon.

MusicMap
is similar to TuneGlue in its interface, but seems slightly more
intuitive. Search for an artist or band and a list of albums will come
up. Once you choose an album a circle pops up on the map. From there
you can expand to get related albums, remove that album, or get more
information.

Last.Forward
is a downloadable, open-source tool to visualize any Last.fm user’s
social network, including relationships between other users.

Fidg’t
is a desktop app that uses Flickr and Last.fm tags to let you visualize
your network and their tagging activities. You can see what your
network’s predispositions are toward different tags and types of
content.

Digg, Twitter, Delicious, and Flickr

Looks Del.icio.us
is a collection of different Delicious bookmark visualizations. They’re
created with a python-based graphics library and layout engine.

Arc is a
product from Digg Labs that shows the latest Diggs, and the
relationships between the users submitting and digging them. There are
two different speed modes, the slower of which is great if you actually
want to read the story headlines.

Stack is
probably the most useful of the visualization offerings from Digg.
Stories with the most recent activity load across the bottom of the
screen and then ‘Diggs’ seemingly fall from the sky to land and create
a real-time graph of what stories are popular. Whenever a ‘Digg’ hits a
story stack, the title of the story is shown at the bottom of the
screen, pushing previous stories down, and eventually off the screen.

Swarm has
one of the cooler user interfaces of all the Digg Labs offerings, with
stories and users flying around on the screen. When someone ‘diggs’ a
story, they fly over to the circle representing the story itself and
are briefly linked up to it. Hovering over a story or user shows its
name and allows you to click. You can also download Swarm as a
screensaver.

Research Chronology
shows the relationships between one student’s research paths via
Delicious bookmarks over the course of a semester. It’s an ongoing
project and includes bookmarks for more than 270 websites.

TwittEarth
shows live tweets from all over the world on a 3D globe. It’s a great
visualization tool to see where tweets are coming from in real time and
discover new people to follow. It’s also fascinating just to sit and
watch.

Tag Galaxy
lets you search for Flickr tags and have them shown visually in a
mockup of a star system. Clicking on any planet (tag) within the first
representation changes the image and recenters that tag as the star and
pops up new related tags as planets. Clicking on the sun itself brings
up a globe covered in images tagged as you’ve specified.

The Flickr Related Tag Browser
allows you to search for a series of tags and see related tags.
Clicking on a different tag brings up new related tags. You can zoom
into the tag selected in the center of the screen by hovering and see
images tagged with that word. It also gives a total image count and
lets you browse by page.

Internet Visualizations

Mapping the Blogosphere is a collection of maps of the blogosphere, including hyperbolic maps, as shown here.

The Twingly Screensaver visualizes the blogosphere worldwide in real time. You get a continuous feed of blog activity straight to your screen.

Web Trend Map 4 shows a visualization of current trends online. This is the fourth iteration of this map and the most detailed one yet.

The Bloom Diagram is a project from the IBM Watson Research Center that visualizes the contributions of individuals to open source projects.

Akami Real-time Web Monitor
shows a map of the world with real-time information about internet
traffic, latency and current network attacks. The maps are color-coded
and easy to read, but only give very generalized information.

The Mapa de Conocimiento (Map of Knowledge)
is a schematic of knowledge involved in any given idea or project.
Built in Flash, this tool visualizes a group of URLs organized under
main ideas. The map is available in English and Spanish.

Akami Network Performance Comparison
shows the packet loss and network speeds between different cities
around the world (to showcase how their technology is better than the
standard “public” internet). It also shows graphs of the information.

Internet Health Report
shows the latency, packet loss, and network availability of the major
ISPs and backbone providers worldwide in a color-coded grid format.
Hovering over any of the cells in the grid gives more information about
the health of that particular connection.

The Hierarchical Structure of the Internet
was a study that looks at how the Internet is organized, both in terms
of structure and connectivity. It shows how the central core of the
Internet is made up of about 80 core nodes, but that even if those
nodes failed, 70% of the other nodes would still function via
peer-to-peer connections.

Rootzmap—Mapping the Internet
is a series of maps based on data sets provided by NASA and created by
Philippe Bourcier. There are a number of different maps available.

Websites as Graphs
shows the structure of different websites based on the tags used in
their code in a color-coded map that grows on the screen as you watch.
Tags are somewhat intuitive in their color-codes, with blue for links,
red for tables, and gray for any tags not specifically given a color.

Schemaball
visualizes SQL database schema. Relationships are shown based on
foreign keys within tables. It’s capable of showing schemas with
hundreds of different tables and relationships.

The Opte Project
aims to map every class C network on the Internet from a single
computer and a single Internet connection. The overall goal is to
create a map of the entire Internet.

Miscellaneous Visualizations and Tools

Visualizing Information Flow in Science
includes a set of four visualizations showing relationships between
citations in scholarly journals that are used to evaluate the
importance of each journal.

The Micro Fashion Network: Color
visualizations show the continuous change of styles in fashion, with a
particular look at the basic elements of color. It was created by using
a fixed camera and special software to map the colors of clothing
people in Cambridge were wearing.

The TED Sphere
shows videos from the TED conference in a spherical format with 3D
navigation. You can view the sphere from inside or outside and the
layout of videos is based on semantic compatibility.

Visualizing The Bible
gives a visual overview of more than 63,000 textual cross-references
within the Bible. It’s intention is to be more beautiful than
functional.

Walrus
is a visualization tool that allows you to interact with massive graphs
in a 3D interface. Interaction is based on selecting any node and then
having the graph zoom in to expand on that point.

We Feel Fine
is one of the most interesting visualization tools I came across. It
provides visualizations on the general feelings populating the
blogosphere on any given day. You can filter results based on age,
location, gender, weather, and other criteria. There are six different
visualizations available: Madness, Murmurs, Montage, Mobs, Metrics, and
Mounds, each of which give a different portrait of the general feelings
abounding on the internet.

One Week of The Guardian
is a visualization of the stories from The Guardian newspaper. It
focuses on the relationships between headlines, authors, pages, and
categories.

Nemulator
is a project that aims to visualize “nemes,” or different fragments of
states of mind. It also aims to serve as a starting point for
discussions relating to the scalability of nemes.

Voyage is a
web-based RSS reader that visually displays RSS feeds on a timeline.
It’s a great way to explore the different feeds you subscribe in a
completely different format.

Blooming Numbers
is the 2006 CGD MFA Thesis Project of Yuri Lee. It’s goal is to show
the relationships between preferences of numbers and cultural contexts
in an interactive way.

CIA World Factbook Visualization
shows a visualization of relationships between different countries and
continents based on data from the CIA World Factbook. It shows semantic
relationships for each country, including neighboring countries,
languages, water and terrestrial boundaries, and more.

TextArc Visualization of The History of Science
is a static visualization of the book The History of Science. It was
originally displayed at the NYPL Science, Industry, and Business
Library in New York.

This Newspaper Map
is a visualization of the rules of the daily production of a newspaper
is a striking graphic format. The closeness of words signifies their
relationships with each other as do lines traced between words.

GraphNews
is a news visualization browser from the Libero WebNews service. It
shows news stories in a mind-map-like format. Clicking on one node
recreates the graph with the clicked item as the focus.

Newsmap
shows a visual representation of current headlines on Google News. It
shows the relationships and patterns between different news stories
across cultures and within different news segments. Be sure to click to
the new JavaScript version for the best features.

FreeMind
is a Java-based mind mapping software that allows you to build your own
data visualizations quickly and easily. Finished maps can be exported
into clickable XHTML files as well as other formats.

Resource System Reference Database
was presented as a poster at InfoVis2004, IEEE’s annual conference. In
this visualization, line weight shows the strength of relationships.

Is the New
documents instances of the phrase “is the new” and shows the
relationships between the subject and object of that phrase. Examples
include “Purple is the new pink” and “Technology is the new religion.”

WikiMindMap
is a tool to visually browse Wiki content in a mind-map format and
includes the ability to download any of their mindmaps in FreeMind
format.

How Scientific Paradigms Relate
shows the relationships between more than 700 scientific paradigms
based on how they were mentioned in more than 800,000 scientific
papers. Relationships are also based on how often different papers were
cited by each other and by authors of other papers.

Universe
is a great app for visualizing the “universe” of particular search
terms. There are sample terms available or you can input whatever you
choose. The visualization given is reminiscent of astronomical charts.

visualcomplexity.com
isn’t strictly a visualization software, but rather a collection of
visualizations already created and categorized. Categories include
business networks, art, internet, knowledge networks, biology,
transportation networks, social networks, and more.

The Strengths of Nations
is a visualization of the scientific advancement of ten different
nations, including the United States, United Kingdom, France, China,
and Australia. The map analyzes 23 different scientific areas,
including math, biochemistry, and astrophysics.

Written exclusively for WDD by Cameron Chapman, a freelance writer and designer.

Which 0nes are your favorites?  How important is the way we visualize data? Please share your comments with us…

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