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Panel: Adam Rabinowitz, Ana Boa-Ventura, Irene ros, Nicholas Rabinowitz, Ryan Shaw

Worldwide Visualization for a Breakthrough -

Please Join Us!

 

visualizedaily.com/action1-en.html

 

Transformation transformacja transformation transformace Transformation transzformáció преобразование transformación trasformazione 2012

www.flickr.com/photos/arjuna/sets/72157628371178639/with/...

Political data visualization poster showcasing the drastic differences in voter turnout between presidential and midterm elections.

Representing hours of daylight (inner loop) out of 24 hours (outer loop) on the first day of every month in Umeå, Sweden. Like a clock, top loop is 12 (December). More details: www.charlenelam.com/?p=90

Panel: Adam Rabinowitz, Ana Boa-Ventura, Irene ros, Nicholas Rabinowitz, Ryan Shaw

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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

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

 

This is a scatter plot of vehicle schedule deviation plotted against time of day. Time of day is plotted on the horizontal axis with gray tick marks every hour. The slightly bolder gray line is noon. Schedule deviation is plotted on the Y axis, with three ticks, from top to bottom: five minutes late, on time, and five minutes early. There's a dense area right after noon - this doesn't represent any feature of King County Metro's schedules - it's just a region where I got two day's worth of readings. On average vehicles are about a minute late. They're rarely more than two minutes early, but it's not terribly uncommon for a vehicle to be up to twenty minutes late.

An idea, however big, is smaller than the guy who visualized it.. Some people can see the world through a shoe hole..

Wondering if the engineer who conceived golden gate bridge.. ever thought that it'd be such an iconic landmark..

iSGTW story | Image courtesy of David Borland, Mats Rynge, John McGee and Ray Idaszak, RENCI.

 

Jobs begin in the MATCHING site at the far left in the image. The color-coded jobs are then sent to OSG compute sites, where they are stacked. Yellow chips on the stack are queued jobs and green ones are running. Completed jobs are sent to the DONE site at the far right. The color bar for ranking OSG sites is visible in the upper right of the image.

11.13.12

Thank you. Thank you very much. (You get it, right? If not, try saying it out loud.)

  

I am really happy about this project 365. I know I seem to start all my intros that way, but it's true. I think I can complete it.

These are some peas from lunch. Aren't you hungry now?

 

P.S. This is my most tagged image yet!

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.

 

It's like when you close your eyes and rub them.

The goal of this project was to visualize anger. Even though we usually connect this emotion with very intensevisuals, I decided to take a more subtle, poetic approach. After a month of thorough research,which included reading about the signs and phases of anger, as well as thereasons which cause it, I formed a clear idea of my direction.

 

Original project at: www.behance.net/gallery/Visualizing-Anger/371697

Dinning 3D RENDER for visualization

Hi i'm Dhananjay Sharma, Utilize my high and low polygon mesh modeling skills to create Architectural visualization, characters, environments, and props.

Hi i'm Dhananjay Sharma, Utilize my high and low polygon mesh modeling skills to create Architectural visualization, characters, environments, and props.

Promo CD for iCube Visualization

 

Please comment this work!

Thanx )

Architectural visualization of Minimalist House

Architects: Shinichi Ogawa & Associate

Location: Okinawa, Japan

Concept sketch for new retail chain. Design: Pompei A.D. Pencil drawing with digital rendering and montage, 2006

Visualization of complex function in MATLAB.

This is a visualizer, created in Java (using the Processing environment), which plots all zip codes as little orange points, then plots a dataset as yellow "pins" on top. Links between the pins are represented by green curves.

 

Although the real version used Quickbooks company data plotted on the map, this demonstration version uses randomized data. Made in collaboration with Lydia Sidrak.

My music visualizer running in 64 bits in iTunes Cocoa, downloading pictures from Flickr and sending the video stream from iTunes to another application through Syphon...

If I were to make a 3D chart that mapped out the alphabetical distribution of my CD library, this is what it would look like.

My TwitWall microblog post of December 04, 2008 Having chosen from approx. 5000 pieces of connectivism - PERSONAL LEARNING NODES #9:

 

This artwork by Finnish Janna Syväoja is located at EMMA Museum of Modern Art. It consists of approx. 5000 pieces of jigsaw puzzle, hanging from the ceiling. This visualizes exactly, how the content of the #cck08 course seemed to me in the beginning - well, throughout the course actually. The meaning of the #cck08 revealed to me is that there existed one planned selected frame of reference - where to start to pick up themes and details from and to form new wholes, piece by piece. Otherwise all the pieces would have remained hanging in the air, in the virtual and non-virtual space. CCK08 built the threads binding the pieces together, to a whole - a new kind of whole.

 

And what's most important: I learned to process the aspired whole piece by piece, one piece at a time. Choosing, keeping and occasionally checking the direction of learning, managing and living is what counts. The amount of pieces processed at one time does not. For this thinking process photoblogging => microblogging and => blogging are excellent ways of action. It can only be learned and discovered by trying, doing, writing, visualizing, chatting, by oneself - and one piece at a time.

 

(The book I photographed the above picture from: The Saastamoinen Foundation Art Collection: Finnish Art. Edition: Päivi Karttunen. Photography: Ari Karttunen, Matti Ruotsalainen. Saastamoinen Foundation, 2006 (Lönnberg Print).)

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Associate Laboratory Director, Computing, Environment and Life Science

 

Areas of study: Focuses on three principal areas: advanced collaboration and visualization environments, high-performance computer architectures (including Grids) and computational problems in the life sciences, most recently the computational problems arising in systems biology. More information.

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