View allAll Photos Tagged DataVisualization,

Here are some albums that you may appreciate:

 

Art - Main www.flickr.com/photos/jezevec/albums/72157605080379416

Art - Flower www.flickr.com/photos/jezevec/albums/72157697124422380/

AI - Main www.flickr.com/photos/jezevec/albums/72177720304402098/

AI - Flowers www.flickr.com/photos/jezevec/albums/72177720313064108/

Photos - Flowers www.flickr.com/photos/jezevec/albums/72157718673969071/

Taipei Rose Festival 2023 www.flickr.com/photos/jezevec/albums/72177720306812199/

Taipei Rose Festival 2021 www.flickr.com/photos/jezevec/albums/72157718673969051/

 

#FLOWERS4U #flower #floralfriday #flowerpower #flowerpics #flowerphotography #blom #lule #ծաղիկ #gül #кветка #ফুল #цвете #flor #花 #cvijet #květina #blomst #bloem #lill #bulaklak #kukka #fleur #ყვავილების #Blume #λουλούδι #ફૂલ #flè #फूल #virág #blóm #bunga #bláth #fiore #花 #ಹೂವು #ផ្កា #꽃 #ດອກ #florem #zieds #gėlė #цвет #fjura #blomst #kwiat #floare #цветок #kvetina #cvet #maua #blomma #மலர் #పువ్వు #ดอกไม้ #çiçek #квітка #hoa #blodau #wâbigin #nature #aard #natyrë #բնություն #təbiət #natura #প্রকৃতি #priroda #природа #naturalesa #kinaiyahan #chikhalidwe #大自然 #příroda #natur #natuur #loodus #kalikasan #luonto #natureza #ბუნება #natur #φύση #પ્રકૃતિ #yanayi #प्रकृति #természet #eðli #alam #nádúr #natura #自然 #ಪ್ರಕೃತಿ #табиғат #ធម្មជាតិ #자연 #ລັກສະນະ #daba #pobūdis #природата #പ്രകൃതി #निसर्ग #သဘာဝ #प्रकृति #natură #природа #narava #naturaleza #табиат #இயல்பு #ప్రకృతి #ธรรมชาติ #doğa #tabiat #натура #flowerstagram #flowerlovers #bloomsofinstagram #florallove #flowerpower #flowerbeauty #flowerphotography #petalperfection #floraladdict #flowergarden #bloomingbeauty #flowermagic #floral_perfection #flowersmakemehappy #floweraddiction #flowerfields #floralobsession #floralwonder #flowerlife #floraldesign #floweroftheday #flowergram #flowerlove #floralfix #flowerheaven #flowerart #floralinspiration #flower_daily #floraldecor #flowertherapy #AI_MAIN #ArtificialIntelligence #MachineLearning #DeepLearning #AI #NeuralNetworks #DataScience #BigData#Tech #Innovation #AIArtistry #ArtificialArt #MachineArt #AIgenerativeart #ArtificialVision #NeuralArt #Cyberart #SyntheticDesign #DigitalPainting #AlgorithmicPainting #GeneratedArt #RoboticDesign #AIinspiredart #ArtificialInspiration #DataVisualization #TechDesign #ArtificialExpression #ArtificialBeauty #ArtificialBrilliance #TheArtOfMachine #AIInnovationInArt #AiArt #ArtificialIntelligence #MachineLearning #DeepLearning #NeuralNetworks #ArtificialCreativity #DigitalArt #GenerativeArt #TechArt #CyberpunkArt #FuturisticArt #RoboticArt #AIgenerated #SyntheticArt #CodeArt #DataArt #AlgorithmicArt #ArtificialImagination #TheArtofAI #AIandArt #AIinArt #ArteDeInteligenciaArtificial #ArteDeAprendizajeAutomatico #ArteDeAprendizajeProfundo #ArteDeRedesNeuronales #ArteDeCreatividadArtificial #ArteDigital #ArteGenerativo #ArteTecnológico #ArteCyberpunk #ArteFuturista #ArteRobótico #ArteGeneradoPorIA #ArteSintético #ArteDeCódigo #ArteDeDatos #ArteAlgorítmico #ImaginaciónArtificial #ElArteDeLaIA #InnovaciónEnElArteDeIA #ArteEInteligenciaArtificial #ArteInnovadorDeIA #ArtificialIntelligenceArt #ArtIntelligenceArtificielle #MachineArt #ArtMachine #DeepLearningArt #ArtApprentissageProfond #NeuralNetworksArt #ArtReseauxNeurones #ArtCréativitéArtificielle #CréativitéNumérique #ArtGénératif #ArtTech #ArtCyberpunk #ArtFuturiste #ArtRobotique #ArtGénéréparIA #DesignSynthétique #ArtCode #ArtDeDonnées #ArtAlgorithmique #ImaginationArtificielle #ArtEtIA #KünstlicheIntelligenzKunst #KIkunst #MaschinellesLernenKunst #MLKunst #TiefesLernenKunst #DLKunst #NeuronaleNetzeKunst #NNKunst #KünstlicheKreativität #Digitalekunst #GenerativeKunst #TechKunst #CyberpunkKunst #Zukunftskunst #RoboterKunst #IAgenerierteKunst #SynthetischeKunst #CodeKunst #DatenKunst #AlgorithmenKunst #KünstlicheImagination #KunstUndKI #人工知能アート #機械学習アート #深層学習アート #ニューラルネットワークアート #人工クリエイティブアート #デジタルアート #ジェネレーティブアート #テクノロジーアート #サイバーパンクアート #未来アート #ロボットアート #人工知能生成アート #シンセティックアート #コードアート #データアート #アルゴリズムアート #人工想像アート #人工知能とアート #人工知能革新アート #ArteDeInteligenciaArtificial #ArteDeAprendizajeAutomatico #ArteDeAprendizajeProfundo #ArteDeRedesNeuronales #ArteDeCreatividadArtificial #ArteDigital #ArteGenerativo #ArteTecnológico #ArteCyberpunk #ArteFuturista #ArteRobótico #ArteGeneradoPorIA #ArteSintético #ArteDeCódigo #ArteDeDatos #ArteAlgorítmico #ImaginaciónArtificial #ElArteDeLaIA #InnovaciónEnElArteDeIA #ArteEInteligenciaArtificial #ArteInnovadorDeIA

One year into his administration, how does the US compare one year on from Bush.

 

Article link: www.usfst.com/news/obama-versus-bush/

Minha proposta pro Estadão. Mas aí troquei de emprego e não terminei :/

A flow chart to find out which Dreamworks character you are. Created using as much of the animated Dreamworks films as possible, link to personally types.

  

Article: www.meettheboss.tv/articles/?contributorFullName=matt-but...

1 Dot = 10 Commuters

Purple = Subway

Blue = Commuter Rail

Green = Bus

Red = Auto

Yellow = Ferry

 

Made this map in 2012 so the data is a bit outdated (2006-08 American Community Survey): includes all commuter flows from each Public Use Microdata Area (PUMA) origin level to Manhattan work destinations.

 

Some observations:

--Transit is the lifeblood of New York City. Subway commutes are predominant from all boroughs of NYC with subway service to Manhattan, and from areas close to the PATH train. Very few origins have a high rate of commuting into Manhattan by car, except in areas with limited transit access into NYC, such as Rockland and Orange counties, eastern Suffolk, and northern Bergen.

 

--From the suburbs, MetroNorth / LIRR is the dominant mode of access into Manhattan from most of the closer suburbs in Westchester, Long Island, and Connecticut. In NJ, it's more of an even split between rail and bus commutes: NJT rail commutes are more common in Essex, Union, and Mercer with one-stop trips into NYC via Midtown Direct or Northeast Corridor, while bus commutes are more common in Bergen, Passaic, and Monmouth.

120 million US Census forms are scheduled to arrive in US households today as the government do a head count in order to help divvy up congressional seats and more than $400 billion in federal aid. But government officials, along with private-sector leaders, are keen to point out that the data will be used not only on a federal level, but locally as well. Shorter than previous Censuses, this decade's questionnaire will only include ten questions in an effort to boost lower-than-average mail participation ten years ago.

 

View full article at US Infrastructure

 

Graphic by Tiffany Farrant

The circular relationship diagrams show another view of the links and groupings among the 99 bowls of the exhibition.

 

Link to the exhibition: www.skd.museum/en/special-exhibitions/the-things-of-life-...

An adjustable lasercut pie chart stencil allows for quick tagging of pertinent infographics. Complete information (including stencil patterns) at flong.com/blog.

Produced by Digimind and the Cité des Sciences Museum, in partnership with Pikko and Intactil Design www.digimind.com

Klee's "Highway" becomes a sort of cavern when visualized as a trajectory in HSB color space.

 

You can get the Processing source code in this blog post

This infographic was created using data from Latitude's Next-Gen Retail: Mobile and Beyond study. Download the full study report: files.latd.com/Latitude-Next-Gen-Retail-Study.pdf

 

Latitude is an international research consultancy helping clients create engaging content, software and technology that harness the possibilities of the digital world.

 

latd.com

info@latd.com

@latddotcom

facebook.com/latituderesearch

 

Infographic created by FFunction in collaboration with Latitude.

This graph shows the late summer (September) sea ice extent in the Arctic as measured by satellites from 2000-2022. September 2012 was the lowest seasonal minimum extent in the satellite record since 1979 and reinforces the long-term downward trend in Arctic ice extent.

 

This image was created using data from Eumetsat's Ocean and Sea Ice Satellite Application Facility (OSI SAF).

 

Credits: James Williams

Infographic created from data in Latitude's L1 mini-survey, "What's a Quantified Self Worth?" Additional findings here.

 

Latitude is an international research consultancy helping clients create engaging content, software and technology that harness the possibilities of the Web. To learn more about Latitude's full range of research and consulting services, click here. Contact: life-connected@latd.com

 

Visit latd.com for more research findings or connect with us on Twitter and Facebook. Join our mailing list here.

 

Infographic created by Latitude, (cc) some rights reserved.

To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.

 

Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.

 

Photos by Yang Jiang.

 

Learn more about NYC Media Lab at www.nycmedialab.org.

Description of the process and Processing source code in this blog post

Mark Rothko's "White Center" becomes a very peculiar form when visualized as a path in RGB or HSB color space.

 

You can get the Processing source code in this blog post

To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.

 

Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.

 

Photos by Yang Jiang.

 

Learn more about NYC Media Lab at www.nycmedialab.org.

I worked at a Community Center and food pantry in New Orleans for a year. I made this graphic at the end of my year there.

To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.

 

Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.

 

Photos by Yang Jiang.

 

Learn more about NYC Media Lab at www.nycmedialab.org.

After the recent earthquakes in Chile and Haiti, it is not surprising to see countries updating their disaster contingency plans. However in the Middle East, where recent quakes in Turkey and Iran have killed hundreds, many states are working hard to improve their seismic monitoring systems to prevent future loss of life.

 

View full article at MENA Infrastructure

 

Graphic by Tiffany Farrant

Mark Rothko's "White Center" becomes a very peculiar form when visualized as a path in RGB or HSB color space.

 

You can get the Processing source code in this blog post

Over the past three decades, executive compensation has risen dramatically, far surpassing the wage of the average American worker. Find out who gets paid the most.

 

Article link: www.meettheboss.tv/articles/?contributorFullName=matt-but...

Quick visual notes during a workshop on the reuse of open data in the context of European cohesion policy.

To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.

 

Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.

 

Photos by Yang Jiang.

 

Learn more about NYC Media Lab at www.nycmedialab.org.

Os goleiros que se destacaram na Copa. Com Daniel Lopes

 

You will struggle to find a single person on earth who has never come across at least one of Disney's many characters. And the best way to sum up the impact that Walt Disney's brainchild has had is to say that it's impossible to imagine the world without it.

 

Full article: www.busmanagement.com/news/walt-disney-productions/

This is a older piece of work I did when i was living in London. I loved doing it - not only the design part - but the whole process right from the start of collecting the data. It displays people's experiences and opinions of various areas in Zone 1 and was quite interesting to see how drastically they vary from East to West.

 

See more of how the data was collected:

www.behance.net/Gallery/Experiencing-London/351787

Ask any professional runner — the shoe maketh the run. Before you hit the track or the treadmill, check out this guide to buy the perfect running tool, er, shoe

Over the past three decades arrests for marijuana have skyrocketed, despite the fact that public attitudes towards its use have loosened considerably.

 

A larger version of this piece can be found at: goodmeasures.biz/#/reefer-madness/

 

This graphic is licensed for public use through Creative Commons, so go nuts and get the word out!

To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.

 

Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.

 

Photos by Yang Jiang.

 

Learn more about NYC Media Lab at www.nycmedialab.org.

The Asia-Pacific region really made its mark on this year's list of the super-rich compiled by Forbes magazine, with the number of APAC billionaires present on the list rising by 80 percent compared to last year. Not only this but the region's wealthiest businessmen also saw their combined worth more than double in the last twelve months.

 

View full article at Business Management Asia

 

Graphic by Tiffany Farrant

To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.

 

Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.

 

Photos by Yang Jiang.

 

Learn more about NYC Media Lab at www.nycmedialab.org.

To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.

 

Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.

 

Photos by Yang Jiang.

 

Learn more about NYC Media Lab at www.nycmedialab.org.

To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.

 

Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.

 

Photos by Yang Jiang.

 

Learn more about NYC Media Lab at www.nycmedialab.org.

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