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This is a visualization of the frequency of occurrence of the words 'internet' , 'web', and 'twitter' in the New York Times, from 1990 - 2008.

 

Built with Processing (http://www.processing.org)

 

blog.blprnt.com

  

Prints from this and other NYTimes visualizations are available on my Etsy store: blprnt.etsy.com

 

Best viewed at original size.

 

I've been having some issues with our MoMA-bound Cabspotting visualization lately, and, as is often the case, ended up having to create another visualization just to figure out what the problem was.

 

Each of the white dots represents a discreet data sample–the location of a specific cab at a particular time. Here, samples for each cab are placed on a separate row and arranged temporally from left to right. More "active" cabs (i.e., the ones with more available samples) are placed at the top.

 

The green and red marks at the top represent the start and end times of the displayed period. For each cab, an algorithm seeks through the list of segments between each sample that fall within them. The hue corresponds to the position in the line between the start and end of the period: Green lines are closer to the start time, red ones to the end time.

 

So, what does it show? Primarily, that there is quite a bit of "bad" data in our set. Those long lines at the bottom indicate extended periods of time during which those cabs weren't transmitting their locations. Most cabs tend to ping the depot every 30-60 seconds, but some do it less than once per hour. For the most part, though, the consistency of that green-to-red column seems to indicate that we've got a pretty good idea of where most of the cabs were in that time period, and with a reasonable degree of resolution.

 

God, I'm such a geek.

You can see what remains of a ledge where the Freemont people likely stood a 1,000 years ago to carve the figures in the stone. Sadly, the ledge has lasted to current times so it enables people to vandalize the ancient symbols.

I had a goal to walk 5000 km (3107 miles) in 2015. I ended up exceeding my goal as I covered 5016 km (3117 miles) in 2015. This meant I needed to average 13.7 km (8.52 miles) a day. I would track my mileage every day.

 

Fitness2015histo

Kunal Anand was kind enough to do some crazy ass Python/Processing hack to create a cluster of all my tags and how they interoperate. Looks cool and cloudy.

 

Here are some others I see on flickr.

Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.

 

Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.

 

Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA

3D Visual of house rendered with Mental Ray

This is a visualization of the frequency of occurrence of the words 'internet' , 'web', and 'twitter' in the New York Times, from 1990 - 2009.

 

Interesting here is the very steep rise in mentions of Twitter so far in 2009. Compare the leading edge of the Twitter curve to both web and internet - it is clearly on a steeper climb.

 

Compare this image to one made in February, to see the very clear 'Twitter explosion' -

 

www.flickr.com/photos/blprnt/3256480403/in/set-7215761338...

 

Built with Processing (http://www.processing.org)

 

blog.blprnt.com

I love this data visualization. And the word "fuldnæppelig".

This is a visualisation of my Facebook friends. I have created it as part of an assignment for "Social Network Analysis" -- an online course run by the University of Michigan.

 

The circles represent people, and the lines represent friendships. Darker circles indicate people with higher number of friendships.

 

This is the A3 version (300 dpi) of the final uberinfographic. The uberinfograhic is an overview of over 365 beautiful infographics and visualizations. The core of this overview is an infographic in itself, a schematic that structures all infographics and visualizations.

interactive version of my former work. it's build with actionscript. you can play with it at blob.creanode.com/blob/eu2009/ if you want.

Sketchnotes from a great day of lectures by Prof Tamara Munzner (UBC)

Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.

 

Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.

 

Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA

Some common plotting options are 'rgbcolor', 'xmin', 'xmax', and 'dpi'.

Functional notation is only available for a subset of functions. Here is an alternative syntax for factoring and expanding polynomials.

Multiple functions can easily be graphed using Python's list comprehensions.

Sage supports many other types of plotting.

Viva apartments visualizations created for Adele Bates' interior design project in Brighton.

Software used: 3ds Max, Corona and Photoshop

Updated north portal design visualization for the State Route 99 tunnel, without labels. It shows the on- and off-ramps at the tunnel's north end. This visualization is subject to change. View the old version here. Learn more about the Alaskan Way Viaduct Replacement Program at www.alaskanwayviaduct.org or follow Bertha, the SR 99 tunneling machine, on Twitter @BerthaDigsSR99.

Sage supports contour plots of three-dimensional surfaces.

Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.

 

Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.

 

Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA

Here is another example of a directed graph.

Sage supports many common error-correcting functions such as Hamming codes.

Sage supports differentiation and the calculation of the Taylor series.

Sage has no problem with performing extremely large calculations.

Variables can be used almost anywhere a number is expected.

This example uses list comprehensions to automatically generate several Taylor approximations.

The visualisation explores the one hundred geniuses of language identified in the book "Genius" by Harold Bloom.

The composition of the individuals mirrors the structure of the chapters

in the book, using the form of the Kabbalah Sephirot.

Each individual is displayed by name, historical period of activity, main profession, continent of origin, number of pages dedicated in the book, visits to the relative pages on wikipedia.org, and relationships with other historical figures.

Plots can also be created from a list of points.

I was astounded by Bill Rankin's map of Chicago's racial and ethnic divides and wanted to see what other cities looked like mapped the same way. To match his map, Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Gray is Other, and each dot is 25 people. Data from Census 2000. Base map © OpenStreetMap, CC-BY-SA

Different types of plots can be added to each other in the same way that similar plots can be added.

Functions can also be plotted by generating a line that approximates the function. In fact, this is what happens behind the scenes when the 'plot' function is called.

Paletas de obras individuais, as mesmas do estudo anterior.

A essa altura tínhamos definido como caminho dois tipos de representação:

1 - obras individuais, mostrando artistas com características comuns aos períodos e também aqueles que fugiam da curva

2 - paleta geral dos períodos, para facilitar a comparação entre diferentes épocas/escolas

 

Infográfico para a revista Superinteressante de junho de 2012. Direção de arte de Fabrício Miranda e edição de texto de Karin Hueck.

Feito com Processing.

When taking photos, while the subject isn't ready, can lead to some very intriguing and interesting photos. Here for example, the hair and eyelashes were better emphasized than if a direct portrait were to be taken. A prism was also used in the bottom right corner to add a little bit of depth and effects into the photo.

Patrick van der Pijl: On January 4th 2011 Alex Osterwalder reinversed the business model of Facebook. On his blog he reconstructed together with his smart and loyal followers the model of Facebook. We thought it would be great to build on the work that has been done by visualizing this business model. More on www.businessmodelsinc.com - Illustration: Joeri Lefevre

Freestyle. Center is a pysanky design found in Zenon Elyjiw's Sixty Score of Easter Eggs: A Comprehensive Album of Ukrainian Easter Eggs. Love that book. Around the egg are my doodles, which turned out to look vaguely pea-pod-ish. This piece is completely covered with stitches and is roughly the size of the palm of my hand.

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