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Y axis: incident energy per square meter as measured at the University of Washington, in joules per square meter. The top line, 30000000 J/m^2, is about 8.3 kilowatt-hours per square meter.

X axis: day of year

 

The same is composed of minutely recordings at the UW between Jan 1 2006 and Jan 1 2010.

A few features pop out to me. First, it's interesting to note that through December to the end of January, insolation around 1 MJ/m^2 is not uncommon, a factor of 25 less than a typical insolation of 25 MJ/m^2 in July. The average household uses about 110 MJ/day. To power a household during the summer would take only about 4 square meters of (100% efficient) panels, during winter an average household would require over 100 square meters of (impossibly efficient) panels, or a square ten meters on a side.

 

This graph also shows the characteristic cloud cover at different times of year. A greater spread indicates more clouds. A tighter grouping towards the top of the graph indicates clear weather. It's more cloudy in winter, and the sun comes out reliably between the summer solstice into late October.

 

Finally, total energy input at ground level is a metric with one of the greatest level of spread because it's influenced by a combination of two properties that move together - the total sunlight time and the angle of sunlight. As a result, whereas both the angle of sunlight and total sunlight hours might seem to improve painfully slowly through the spring, the total insolation is really hopping to new highs every couple of days. If you're a SAD-sufferer looking for hope through January and February, keep your eyes on this metric.

 

The script is here: gist.github.com/761474

transitshed size heatmap for noon on a weekday; double-check with www.walkscore.com/transit-map.php

Richard Nieman, Global Medical Officer; Senior Vice-President, Teva Pharmaceutical, USA capture during the Session: "Visualizing Disease" at the World Economic Forum - Annual Meeting of the New Champions in Dalian, People's Republic of China 2017. Copyright by World Economic Forum / Sikarin Fon Thanachaiary

Increase your SALES with ZoomCharts!

 

ZoomCharts had an excellent time participating in the TechHub Rīga March Meetup on March 12, 2015, taking place at Kaļķu street 12/14, Rīga, LV-1050, Latvia.

 

ZoomCharts CEO and Co-Founder Janis Volbergs gave an engaging presentation on the startup path from idea, to market, to investment, and what it takes to build a product from the ground up and take it to a new level.

 

How did it all start?

 

A problem was spotted. There were no visualization libraries delivering truly interactive charts for touch enabled devices that were capable of working with big data.

 

And so the idea emerged. This was the right time to build such a library.

 

Why?

 

Because touch screen displays will become a $31.9 billion dollar market by 2018. Smart mobile sensor devices were used by 1.75 billion people in 2014. The Big Data market will grow exponentially (from $8.8 billion in 2013), to $48 billion in 2018. HTML5 adoption is wide enough and touch enabled devices are powerful enough to generate interactive visualizations.

 

The ingredients for a successful startup include:

 

1. A grand vision. ZoomCharts’ vision is to become the number one SDK for interactive chart development in web and mobile apps.

2. A realistic plan for execution and getting your vision implemented.

3. (Most importantly) A team, able to see the grand vision and execute the plan.

 

ZoomCharts started small, but focused. A vision was set, a core team of professionals was assembled, and a detailed business plan was derived, which led to a €200,000 seed investment.

 

The product was created in less than a year, and launched public downloads and a shop in March 2014.

 

In less than a year, the customer list grew to include companies such as TCI Business Capital, Hewlett Packard, D8 Corporation, Proteus Enterprise, Narus, SwissLife, Taykey, Derivitec, Sensors, Click & Pledge, Ryan Scientific, Inc., Booxs, Frostbyte Consulting, Image webdesign, Norbit, Helm, Zengo, Ense Group, RCS, Helbling, Loonloon, Fractalerts, Thinktecture, bitmama, KeeSystem, Trulia, Maxfone, and many more.

Increase your SALES with ZoomCharts!

 

ZoomCharts started with a €0 investment in dedicated marketing. A follow up investment of €500,000 raised in November 2014 enabled us to scale our team from 3 to 11, and get us moving forward fast.

 

Today, the ZoomCharts team has grown from 3 to 11, and has raised a total investment of €700,000. We’ve reached 40 paying customers, and growing, and there have been over 700 trials started, and growing.

 

Current challenges include brand building, marketing and sales, and incorporation into the US, including patents.

 

Despite the challenges, ZoomCharts is excited about the company’s future, which includes plans such as:

 

1. Raise €5-7 million to massively expand sales and marketing.

2. Expand the team to 40+ within the next two years.

3. Launch multiple SAAS solutions that would let a much wider audience take advantage of the benefits ZoomCharts provides.

 

We are proud to be part of ZoomCharts, and we are glad to hear that our customers love ZoomCharts as much as we do!

 

Check out ZoomCharts products:

 

Network Chart

Big network exploration

Increase your SALES with ZoomCharts!

 

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

www.zoomcharts.com

The world’s most interactive data visualization software

 

#zoomcharts #interactive #data #datavisualization #charts #graphs #bigdata #dataviz #TechHub #Riga #Latvia #March #meetup #JanisVolbergs #TCI #HewlettPackard #HP #D8 #ProteusEnterprise #Narus #SwissLife #Taykey #Derivitec #Sensors #Click&Pledge #RyanScientific #Booxs #Frostbyte #Imagewebdesign #Norbit #Helm #Zengo #EnseGroup #RCS #Helbling #Loonloon #Fractalerts #Thinktecture #bitmama #KeeSystem #Trulia #Maxfone

 

Hannes presents a compiler visualizer at the 2011 Year-End Cool-Off sponsored by the Cyberpunk Apocalypse, at HackPittsburgh.

Modeled and Textured in Blender

Rendered in Octane Render

Post in Photoshop

Pygmee, Paris Café, Priest, Pakistan Warbird - images sent to my group www.flickr.com/groups/abc-visualized for the letter "P" - 1. Last Baka pygmee tribe?, 2. A la terrasse du café, 3. Eugen Drewermann, 4. IMG_9294

  

Tour & Taxis: last installation for Revolve's 2014 photo exhibition "The Rise of Renewables"

So it appears that I am back in the digital realm with the most recent acquisition of a Ricoh GR! For the longest time I've been trying to get my hands on its film ancestor, the GR1, but failed miserably. Nobody seems to want to part with one.

 

Anyway, the digital GR is a rather curious little camera. It's well made and quite a joy to hold in one's hand. Some of the reviews make it sound as if its build and feel rivals that of a Leica but that is certainly not true. On the upside however, it's infinitely smaller and lighter.

 

One immediate problem to solve is that of the viewfinder: It doesn't have one and offers no facility for an electronic viewfinder either. This initially put me off and my first days with the camera confirmed that I can't deal with using the LCD display on the back. If it could swivel, maybe there'd be a way but it's rigid so then I quickly surveyed the optical finders available.

 

So I dropped by at B&H this morning to see what was available. Disappointingly, my sales person told me that they might only have the ridiculous $600 Zeiss finder on display while I was interested in the Voigtländer 28mm OVF. Turns out he was wrong and I had a chance to try it on the Ricoh.

 

In a word, it's fantastic. In real life, it's much tinier than the photos would suggest and when looking through it, I was almost blinded by its brightness. I didn't even bothering checking its accuracy in store. This I did upon leaving the store. There's good news too: for objects three to four meters away, it's a perfect match to what the sensor sees.

 

With this OVF, the Ricoh suddenly becomes an incredibly nimble camera. One will first have to configure it accordingly which turns out to be a bit of a struggle: the GR's geek factor is really something else. It took me a couple of days to even realize that its adjustment lever on the back was also a button, opening up quite a few hitherto unknown possibilities.

 

The first set of settings I've assigned to the program dial's MY1 position is as follows: aperture priority mode, minimum shutter speed of 1/60 secs, maximum auto ISO of 3200 and snap focus, normally set to 2m which, at an aperture of f/7.1 or f/8 basically gives me a depth of field from 1.2m to infinity (the Ricoh will visualize the available depth of field using a green bar in its display - very nice). The focusing mode as well as the snap-focus distance can easily be changed without diving into menus should I ever have to.

 

The back display remains off entirely as there is no longer any need for focusing. With the brilliant viewfinder, virtually zero shutter lag and an inaudible shutter, this promises to be the perfect camera for the streets.

 

When reviewing the photos later in PS, I was a bit surprised to see that they didn't really seem all that sharp. There was a certain fuzziness about them which I initially attributed to the effective scale focusing that I am now using. My worries were unfounded however: The images crispen up very nicely when sharpening. The very low noise-levels of the sensor allow turning down the threshold all the way which brings out even the tiniest of details.

 

So far I am very happy with this Ricoh. It's not perfect tho. I for example played around with its manual focus implementation and found it to be utterly unusable. It will also take me a little longer to feel at home with its interface and it's rather impressively sized menu. But in the end it's all about customizing it such that the few parameters one actually needs to change all sit on a separate control.

 

As for that photo, there is little to see here. This was cropped to 4:3 after the fact. Most of the photos from this morning could do with this slightly more squarish crop which is odd because i've never felt that need when using a 35mm film camera.

Part of visualizing all the ideas from the day comes from moving and re-arraning the post-its of ideas that each attendee wrote down through out the meeting.

Visualization of various internet stats from the Design and the Elastic Mind exhibit at MoMA. I was attracted to this partly because of the massive hanging screen, which, if you went round, showed the mirror image on the back.

www.bioteams.com/2007/04/30/visualizing_complex_networks....

 

The site is run by Manuel Lima who is an interaction designer, information architect and design researcher. Manuels website is www.mslima.com/myhome.cfm

David Cook, Chief Clinical and Operating Officer, Jiahui Health, People’s Republic of China capture during the Session: "Visualizing Disease" at the World Economic Forum - Annual Meeting of the New Champions in Dalian, People's Republic of China 2017. Copyright by World Economic Forum / Sikarin Fon Thanachaiary

I had a hard day. In the night I stopped my car, took off shoes and socks and walked barefoot through the rain and snow.

Interactive data visualization of research 'Transport Network and Social Network: Motion and Emotion'

Moscow Urban Forum 2013

 

Research is the collaboration between Thomson Reuters, Mathrioshka and MegaFon

 

Сommissioned by the coordinator of complex research 'Archaeology of the periphery' consortium bureau Meganom and Institute Strelka

 

CURATOR

Alexei Novikov

 

RESEARCH GROUP

Ekaterina Serova, leader

Philipp Kats

Oleg Kiselev

Irina Maslova

Andrey Lukashenkov

Sergey Khristolyubov

 

DATA VISUALIZATION

Vadim Smakhtin

Eduard Haiman

Sergey Lyubashin

This is for a University Data Visualization assignment.

I do not own the images seen hear, they are the property of Wizards of the Coast.

David Cook, Chief Clinical and Operating Officer, Jiahui Health, People’s Republic of China capture during the Session: "Visualizing Disease" at the World Economic Forum - Annual Meeting of the New Champions in Dalian, People's Republic of China 2017. Copyright by World Economic Forum / Sikarin Fon Thanachaiary

U – Silk City

 

Project information

Location: Le Van Luong Road, Van Khe Ward, Ha Dong district, Hanoi

Type: Residential Building

Investor: Song Da – Thang Long Joint Stock Company

Total area: 9.2 hectares

Total investment: 10,000 billion VND

Building start date: November 2008

Building finish date: December 2013

 

Product by E5:

- Ariel visualization.

- Interior visualization.

- 3D Floor Plan

- Brand Identity Package.

- Catalog

- Signage Design for Model House

 

The 3D project completed in June 2010.

David Cook, Chief Clinical and Operating Officer, Jiahui Health, People’s Republic of China capture during the Session: "Visualizing Disease" at the World Economic Forum - Annual Meeting of the New Champions in Dalian, People's Republic of China 2017. Copyright by World Economic Forum / Sikarin Fon Thanachaiary

Some shots from my Mac visualizer.

quick fluxus script visualizing email data flow for the hungarian freedom not fear 2008 event against the eu data retention directive.

 

wiki.vorratsdatenspeicherung.de/Freedom_Not_Fear_2008/Bud...

 

One of the best visualizations... far more trippy than my picture can convey. The human figures are about to dissolve gradually into thin vertical lines, which split off and go to the sides, and then come back.

Made using Processing and weather data from the US Weather Service via radarmatic. Code here: gist.github.com/885461

A visualization of 1 million Manga images on 287 megapixel HIPerSpace on supervisualization system at Calit2, San Diego.

 

This photo: Jeremy Douglass (Post-doctoral researcher, Software Studies Initiative) and Florian Wiencek (Jacobs-University, Bremen)

iSGTW story | Image courtesy of Paul Thompson, Laboratory of Neuro Imaging, University of California.

 

Using a grid computing testbed, researchers can visualize the progressive brain tissue loss (pink) in schizophrenia patients.

Mike Moradi, Founder and Chief Executive Officer, Sensulin, USA; Young Global Leader capture during the Session: "Visualizing Disease" at the World Economic Forum - Annual Meeting of the New Champions in Dalian, People's Republic of China 2017. Copyright by World Economic Forum / Sikarin Fon Thanachaiary

Map view of national airline shortest path tree, showing shortest path from Seattle to some point Puerto Rico

Jeffrey M. Drazen, Editor-in-Chief, New England Journal of Medicine, USA capture during the Session: "Visualizing Disease" at the World Economic Forum - Annual Meeting of the New Champions in Dalian, People's Republic of China 2017. Copyright by World Economic Forum / Sikarin Fon Thanachaiary

Photo of a Man on Sunset Drive: 1914, 2008

by: Richard Blanco

 

And so it began: the earth torn, split open

by a dirt road cutting through palmettos

and wild tamarind trees defending the land

against the sun. Beside the road, a shack

leaning into the wind, on the wooden porch,

crates of avocados and limes, white chickens

pecking at the floor boards, and a man

under the shadow of his straw hat, staring

into the camera in 1914. He doesn't know

within a lifetime the unclaimed land behind

him will be cleared of scrub and sawgrass,

the soil will be turned, made to give back

what the farmers wish, their lonely houses

will stand acres apart from one another,

jailed behind the boughs of their orchards.

He'll never buy sugar at the general store,

mail love letters at the post office, or take

a train at the depot of the town that will rise

out of hundred-million years of coral rock

on promises of paradise. He'll never ride

a Model-T puttering down the dirt road

that will be paved over, stretch farther and

farther west into the horizon, reaching for

the setting sun after which it will be named.

He can't even begin to imagine the shadows

of buildings rising taller than the palm trees,

the street lights glowing like counterfeit stars

dotting the sky above the road, the thousands

who will take the road everyday, who'll also

call this place home less than a hundred years

after the photograph of him hanging today

in City Hall as testament. He'll never meet

me, the engineer hired to transform the road

again, bring back tree shadows and birdsongs,

build another promise of another paradise

meant to last another forever. He'll never see

me, the poet standing before him, trying

to read his mind across time, wondering if

he was thinking what I'm today, both of us

looking down the road that will stretch on

for years after I too disappear into a photo.

 

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