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Golden WestLake
Project information
Location: 151 Thuy Khue Street, Tay Ho, Hanoi
Type: Apartments
Investor: Flamingo Hong Hac Dailai Resort JSC
Total area: 2ha
Building start date: 31/12/2005
Building finish date: 31/12/2007
Product by E5:
- Ariel visualization.
- Exterior visualizations
- Interior visualizations
- 5 minutes introducing film.
The 3D project completed in november 2007.
A visualization of perlin noise. The angle of each blue line is dependent upon the value of perlin noise at each x,y position.
Comparison of the number of my emails for March, 2006 from three people - a colleague, sister, and daughter.
“The world is full of magic things, patiently waiting for our senses to grow sharper.”
- W.B. Yeats -
After three hours in bed, I woke up with a bad sore throat. So I was nearly speechless - the whole day.
Step 4: Further visualization options include clicking on items to expand data, and up and down mouse swipes to zoom in and out of data.
zoomcharts.com/en/gallery/all:facet-chart-legend
Take your presentations to the next level with interactive representations of your data, which makes it easy and efficient to understand, analyze, and present information. Customization options help you tailor the presentation of your data to suit your specific needs.
Legend is a new feature of ZoomCharts’ advanced data visualization Facet Charts tool that is being used in a variety of industries, including science, medicine, business, law, administration, information technology, transportation, media, marketing, engineering, consulting, education, and more.
- Chart legends make identifying data with a quick glance very easy
- Users can show or hide data series with a simple click
- Information is organized and accessible
Check out ZoomCharts products:
Network Chart
Big network exploration
Explore linked data sets. Highlight relevant data with dynamic filters and visual styles. Incremental data loading. Exploration with focus nodes.
Time Chart
Time navigation and exploration tool
Browse activity logs, select time ranges. Multiple data series and value axes. Switch between time units.
Pie Chart
Amazingly intuitive hierarchical data exploration
Get quick overview of your data and drill down when necessary. All in a single easy to use chart.
Facet Chart
Scrollable bar chart with drill-down
Compare values side by side and provide easy access to the long tail.
ZoomCharts
The world’s most interactive data visualization software
#zoomcharts #facetchart #barchart #data #legend #show #display #hide #interactive #quick #easy #simple #expand #swipe #iphone
Revolve's photo exhibition launch at the Halles Saint Gery in downtown Brussels on July 1, 2014. In the presence of the City of Brussels, the Brussels Environment Agency (IBGE) and REScoop.
This is an example of the processing done by my music visualizer for iTunes on the Mac
more at www.fraktus.com/exo/exo_flickr.php
Or download it at fraktus.com/exo/eXo_12.dmg
The picture processed is downloaded automaticaly from the Flickr web site and is not mine, so it's a collective piece of art :-)
This one is more absract. There is a procedural texture in the background with several transparent cubes having different sizes and displaying a Flickr picture. It's creating surprising textures!
Revolve's photo exhibition launch at the Halles Saint Gery in downtown Brussels on July 1, 2014. In the presence of the City of Brussels, the Brussels Environment Agency (IBGE) and REScoop.
First Hacks/Hackers Meetup held at Atherton Studio at HPR. Great presentations by Ben Trevino, Jared Kuroiwa and Misa Maruyama.
Guests at the TechChill Baltics 2015 technology startup conference take a break from all the excitement in front of the ZoomCharts demo booth at the Palladium concert hall in Riga, Latvia.
Check out ZoomCharts products:
Network Chart
Big network exploration
Explore linked data sets. Highlight relevant data with dynamic filters and visual styles. Incremental data loading. Exploration with focus nodes.
Time Chart
Time navigation and exploration tool
Browse activity logs, select time ranges. Multiple data series and value axes. Switch between time units.
Pie Chart
Amazingly intuitive hierarchical data exploration
Get quick overview of your data and drill down when necessary. All in a single easy to use chart.
Facet Chart
Scrollable bar chart with drill-down
Compare values side by side and provide easy access to the long tail.
ZoomCharts
The world’s most interactive data visualization software
#zoomcharts #interactive #data #datavisualization #charts #graphs #bigdata #dataviz #TechChill #tech #chill #Baltics #technology #conference #Riga #Latvia #Palladium #TechChill2015 #photo #break #demobooth
Visualizing Patterns and Trends in Scientific Literature – What’s next? Chaomei Chen Many of us are interested in visualizing patterns and trends in scientific literature. It can be very exciting and revealing as well as challenging and frustrating. More often than not, a visualized ‘big picture’ of a scientific field invites more questions and more specific needs. Some may want to see more details; others may prefer a birds-eye view. There are quite a few unanswered questions. I’d like to line up a couple of them here. First of all, given any visualization of scientific literature, who would be able to understand what it is about? If there is such a thing as a typical viewer, what would be the viewer’s knowledge structure? The intended audience of the graphical message carried by the Pioneer spacecraft was aliens who would have competent knowledge of physics, at least as the way we understand it. If designers do not spell out their intent, where are the clues?
informationvisualization.typepad.com/sigvis/2005/02/visua...
www.connectedaction.net/2009/03/02/facebook-social-networ...
Here is a good example of an application of Bernie Hogan’s Facebook edgelist extractor. Alan Shussman used it on his own Facebook account and generated the following image: Alan Shussman's personal Facebook egonetwork visualization Alan Shussman's personal Facebook egonetwork visualization Alan used the NetworkX tool and python to build this image of his sub-groups in Facebook. It does work nicely to highlight the life-stage clusters of relationships that mostly stay inward focused, each school or work experience is a set of relationships that mostly link to themselves.
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You must give appropriate credit and provide a link to visualskins.com/ or to the original post: visualskins.com/skin/heart-visualizer
This shot from below makes the statue take up a majority of the screen space and leaves the viewer with a sense of awe in regards of its power and massiveness.
infosthetics.com/archives/2007/10/skyrails_network_inform...
Notes
a freely available social network visualization system that features a built-in programming language for configuring the visualization attributes of the graph. the added flexibility of the scripting language within Skyrails, accessible through scripting or via menus, allows lay users to change the interface or choose how to represent attributes (i.e. nodes can be bound to planes & spheres based on their attributes). 2 movies demonstrating the smooth dynamic character & interface of the visualization system is available after the break. [link: unsw.edu.au & flickr.com & flickr.com]
flowingdata.com/2008/03/12/17-ways-to-visualize-the-twitt...
and
www.visualcomplexity.com/vc/project_details.cfm?id=594&am...
A way to visualize the Twitter universe. More visualizations on this website.
Akshay Java, from ebiquity group, used the Large Graph Layout (LGL) tool to visualize a large social network on Twitter. The top graph shown here was built using contacts from about 25,000 users. Notice that there is a link connecting two users if either one has the other as a friend and hence it is an undirected graph (of about 250,000 edges). Compare this to the bottom graph that is constructed using only users who are mutually acquainted. i.e. A knows B and also B knows A. As Akshay reveals in his post: "I find that visualizing such large graphs is quite a challenge and to glean meaningful information from it is even more difficult". However, he goes further in explaining that some insights can still be gained from this project. Akshay points out that a number of users seem to be trying to win a popularity contest of some sort, while a number of bloggers and (perhaps fake) celebrity profiles have a huge fan following in Twitter. He also mentions how the two graphs look very different on account of the fact that users with public profiles get a lot of followers whom they might not really know and would hence never add them as an acquaintance. But to really understand what the differences are one would need to look at the community structure and properties of the two graphs. ebiquity group has also explored the Twitter API in other projects [1] [2] in order to get a better understanding of the microblogging trend.
Julia Kaganskiy (@juliaxgulia) organizes Arts, Culture and Technology meetups in NYC. This event on 27th April 2010 was on Data Mining & Visualization: www.meetup.com/Arts-Culture-and-Technology/calendar/13144...