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www.youtube.com/watch?v=ECub4tpRaic
ZoomCharts Co-Founder and CEO Janis Volbergs gave a well received presentation at a UI/UX meetup event to talk about the array of progressive ZoomCharts features available today and the great things the team is coming up with for the near future.
Check out this overview of Volbergsâ presentation to discover why ZoomCharts is a world leader in interactive data visualization software:
The name of our product is ZoomCharts, and what we are producing is ZoomCharts SDK, which is the worldâs most interactive data software. We are a new startup established in Latvia just last year. The product, since March of this year, is available for purchase and has been purchased by many different customers from all over the world. The actual product is entirely new data visualization software development GIT, which puts in the center not the technology, but the person sitting behind the device that every one of us has in the pockets; users of mobile phones, users of iPads.
We wanted to make such a development toolkit that would allow developers to create interfaces that make it easy to access data, to analyze data, to interact with data. We are not a library that lets you create a chart, we are a library that lets you create an interface that then engages the user into an immersive, interactive data exploration venture.
To give you an idea of what sort of visualizations you can achieve using our development kit, we have products like the network chart. The network chart lets you visualize different networks of data, whether they are social networks, whether they are Internet of things networks. All of that you can visualize on any device you have, basically, whether itâs an iPhone, iPad, notebook, or touch TV. The interactive time chart lets you access big data with time and explore what happens within specific areas of that data without using any other interface component. We have also reinvented the pie chart and the facet chart.
What makes our SDK unique? First of all, itâs built to make data navigation engaging, so it wonât be just a boring chart or boring interface. It will be interesting for people to actually use your software that would include a ZoomCharts application. We also know that most of you like the performance of the application, so we put a lot of effort in creating this development kit such that it will be super nice looking and super fast on most contemporary devices. We have also added different aspects of how you can visualize different data in a compelling way. And for those of you who already have some applications or products, ZoomCharts helps you sell your product because when we show our products to actual consumers, when they see the interface built with ZoomCharts, they love it, and they can immediately see how they can use it for other purposes. So basically, what we are doing with ZoomCharts is accelerating the emergence of new ideas that couldnât have been done yesterday because there wasnât such development yet available.
I could talk a lot about it, but itâs better to show you some real life examples of how we have applied ZoomCharts to tackle some of the issues in the real world. With a product called myinstabank, the Internet account statements show a long boring list, and when you need to see the big picture, you just canât. All you get is just a list. Normally you would just use the export option to make some Excel charts. We found that we could use our interface to give all this information another meaning in the hands of users. We applied our charts to the already existing data within the Internet banks.
What we have here is a time chart. It shows you data aggregated by timestamps. So if you have any data that has timestamps, you can use the time chart. The picture is where most of the chart libraries end; it is the end product of their libraries. In our case, the chart is just the beginning of your venture because now letâs imagine you wanted to see what happened in the year 2012. What do you have to do? One click. You just click on it, and immediately the chart communicates with the banking database, retrieves more data for that period, and immediately aggregates data. No more dropdowns where you have to pick specific dates or unintuitive actions. The rest of the interface then responds to the time period you have selected. The list is there, but now itâs filtered for that one year you just selected. If you need some other information, just one click, and the interface is communicating back to the server and fetching data. Speaking about the pie charts, they immediately show you where your money is coming from, and how you spent your money. All our charts are interactive, so you can click on any slice to filter out the time chart. I said before that we have reinvented certain aspects of the pie chart and one of the key aspects that we have reinvented is, normally if you have a pie chart, you have a grey area that says âothersâ and you never know whatâs inside there. Well, we have fixed that problem. Just one click and it automatically expands. So now, using one pie chart, you can explore all the data.
All of this is interactive, so on iPad, you can use gestures to swipe in, swipe out, do all sorts of things. All charts come bundled with extensive API, which means that you can combine these charts with other JavaScript components that exist within your application to create an interface and an experience to your user that you are looking forward to. The time chart is big data ready because it comes with a very smart data cache and if you attach it to the data sources that handle a lot of data, whenever you do some navigation, it automatically reflects only data for that particular period of time, so there is no unnecessary data being fetched from your servers. Thus, you keep the loads small, the interface fluid, and the overall experience very nice.
One of the very unique products that we have within ZoomCharts is the network chart component. The network chart component lets you visualize different social, financial and other network structures directly within your device. In this particular example, what we did is fetch a subset of the IMDb database to show you how you can use the network chart to visualize information that is already there but in a totally different way. So imagine you get home and you would like to see a new movie but you are not really sure what you want to look for. You know that you like Al Pacino, so what you do is type in âAl Pacinoâ and immediately you see the actor and the top movies of his. This is the point where your joy of data exploration begins. With a single tap, you can explore what other actors are involved in that particular movie. And you can continue this exploration until you find content that youâd be happy to consume. What is good here is this moment of trust because you started with Al Pacino, you trust that person, you love movies with him, and now you can see that there is Andy Garcia that is linked to him. So you think, âhmm, if I like Al Pacino, they are linked in this movie together, maybe thatâs something worth watching today.â With a right click, you can instantly access more information about the movie, and watch a trailer or buy the movie. So what Iâm saying here is, using ZoomCharts as a core component of visual interface, you can let people discover your content, find something they like, and also buy it or consume it. So itâs not just seeing the big picture, but itâs interacting and consuming. And all of this is happening within one interface.
In the next year, weâre also thinking about expanding the charts to let cross device communication, which would mean that you would go home, take your iPad, open up this software, and when you find a movie that you want to watch, you would click âbuyâ or âwatchâ, and it would start playing on your TV. So, devices would be cross linked through using the ZoomCharts interface.
This chart comes with extensive API so you can apply different filters to the data. For instance, in this particular example, we have applied this IMDb filter here, so if youâre really are not looking at anything below 9, you can click on 9 and see that there are not that many movies within this subset. If you are not that kind of person, you can put the star limit to something smaller, and movies appear.
Another interesting aspect is the time machine within which you can filter out movies that are very old, or on the other hand, you can focus on movies that are contemporary. All of that can be easily configured for your application, for your customers, for your product, as you need it. You can style any aspect of your charts with pictures line, arrows.
Many companies, among which is Hewlett-Packard from the United States have already found usage for their cloud solutions to visualize all sorts of different things.
If you go to our webpage you can see other examples of ways you can use our charts. Our charts can be cross combined in very interesting ways. What you see here is Juliaâs social network and who her friends are. You can play around with the network and expand and see what other people are there in real time, but when you click again on Julia, a pie chart pops up and says what social networks Julia is using most. So in this user interface, we are already combining a lot of data that is easily accessible with just a few taps. And it doesnât stop there. So, she loves Facebook. We can click on Facebook, and the second level of the pie chart comes up. There can be unlimited levels. The second level shows which tags she is using within that social network. So now we know that Julia loves Facebook, and within Facebook, she loves to talk about love. Another thing you can do is click on Love, and you get this interactive time chart that says when exactly she is talking about love on Facebook.
In the close future, in a year or two, we are looking forward to integrating support for a number of new human-machine interfaces that are emerging. We are also looking forward to integrating voice control into our charts so you can easily zoom in, zoom out or do other sorts of navigational things.
There are many new chart types coming up, such as the GeoChart, which will let you easily put those interactive pie charts on a map so you can display different statistics for people within one chart.
We are also looking forward to creating a bunch of cloud services that would enable cross chart communication on the one hand, and other things that Iâm not really allowed to tell you now, but there will be some big things that you will hear about.
What is good is availability. As I mentioned before, the software is already available to download on our webpage. You can easily get a 30 day free trial to just play around with it. We are giving away free licenses also for non commercial projects, for students, for charities. But if you have a commercial project you would still need to obtain a developer license.
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 worldâs most interactive data visualization software
#zoomcharts #interactive #data #datavisualization #charts #graphs #bigdata #dataviz #CEO #cofounder #JanisVolbergs #Latvia #UI #UX #userexperience #userinterface #SDK #GIT #visualization #iPad #iPhone #network #facet #piechart #timechart #IMDb #AlPacino #AndyGarcia #myinstabank #Facebook #love #API #HP #HewlettPackard #freetrial
Stamen:
Every now and again I stumble over Stamen, and my shiny-shiny gene
goes into gear. Stamen is a design and technology firm in San
Francisco that over the past few years has worked on a number of
inspiring projects blending disparate fields and blurring their
boundaries. As they put it, "Experimental and client work have a way
of feeding into one another: the crossover process enriches both.
Stamen doesn't believe in a clear separation between ideas and
technology, or between client work and research work."
One foundational element that seems common to much of their work is
data visualization. A lot of their dataviz work connects to maps (the
original dataviz!). A couple of their recent map projects include
PolyMaps and PrettyMaps. Older projects/clients with mapping
components include Walking Papers (navigation), Crimespotting, Hope
for Haiti, Cloudmade Maps, Hurricane Maps, Cabspotting, TravelTime,
and more. You can see the range immediately, just from titles!
PolyMaps:
"Polymaps is a free JavaScript library for making dynamic, interactive
maps in modern web browsers." PolyMaps is available for download in
both Zip and GIT file formats. It can incorporate data from
OpenStreetMap, CloudMade, Bing, and can be formatted with CSS.
PrettyMaps:
"It is an interactive map composed of multiple freely available,
community-generated data sources:
- All the Flickr shapefiles rendered as a semi-transparent white
ground on top of which all the other layers are displayed.
- Urban areas from Natural Earth both as a standalone layer and
combined with Flickr shapefiles for cities and neighbourhoods.
- Road, highway and path data collected by the OpenStreetMap (OSM) project. ...
prettymaps operates very much at the edge of what the current crop of
web browsers are comfortable doing."
Social media is another theme they've worked with. Eddy is a new
Twitter visualization product from them, with earlier models or
prototypes ranging from the NBA Playoffs on Twitter through various
Flickr and Digg mashups and designs.
Eddy:
Eddy is a high-priced big-ticket product Stamen has created to "build
custom Twitter experiences quickly with simple powerful tools." It can
be used for metrics and tracking or for creating realtime interactive
audience experiences for live events. One of the barriers to
integrating Twitter on screen in live events is the possibility of
your hashtag stream being hijacked by spammers. Eddy gives you ways to
filter, control, manage, and block certain keywords in real time. It
doesn't just scroll the stream, but also provides a variety of
visualizations for your onscreen stream in what I am guessing is in a
Digg-like fashion, and thus much more engaging than most of the
Twitter visualization tools available for free.
Stamen has worked in so many areas and applied such a powerful
combination of creativity and content, that I could go on for a very
long time about how and why they inspire me.
You can find more about their work in their Everything section and
their Projects page.
Stamen: Everything:
Stamen: Projects:
I am going to choose just one (and oh, my, that was a hard choice!) to
discuss a little more.
Stamen: Books:
AND
Stamen has been pondering the boundaries and design of conventional
books, personal notebooks, and e-books with an eye toward trying to
create a vision for the future that incorporates the best of all of
these. What they say is:
"There’s a fluidity to digital media that’s intensely satisfying: a
sense of almost infinite malleability, multiple versions, code
proliferating across multiple variations, pieces that are different
every time you look at them... but sometimes it can get a bit
overwhelming. While we strive for a kind of engagement with
physicality in the rest of our work, there are limits to digital
media’s ability to leave anything lasting behind. It’s for limits like
this that notebooks are useful—they get filled with the physical
traces of the world instead of manipulation of the world behind the
screen. This work is not so much an antidote for a missing physicality
as it is a complement to the screen, and often a source for more
digital investigations."
What they do is to provide images that show what they imagine might be
possible. Or perhaps the images are actually generated from some
mysterious system they have yet to share with the rest of us. I don't
know. I do know that on our campus there is an initiative to imagine
alternative online textbook formats, and that this collection inspires
me to think very differently about those possibilities.
Print books preserve content in a fixed form. Digital media provide
content in a fluid form. Personal notebooks and printed books provide
space for marginalia, ponderings, explorations, doodling, expansions,
personalization, customization, criticism, carving, snipping,
repurposing, reaction, blending, transforming, connecting and much
much more.
I often sit in meetings next to a woman who seems to need to doodle to
focus and process. Her doodles are delightful visual little graphics,
very artistic and visual. Meanwhile, I am usually taking notes in a
code editor on my computer. Have you ever tried to doodle in an ASCII
editor while taking notes? It's possible, but it sure isn't very easy
and you can't really pay attention to what's going on around you. Not
to mention that there is not much of anything like handwriting in the
digital space. As I look at their images of blended book experiments
and environments, I find myself really longing for a space that allows
me the visual flexibility and personalization of taking notes by hand
on paper with the ability to share, preserve, disseminate, blend,
repurpose from digital environments. Just something to think about.
There is a lot more potential hidden in plain view in their images.
Go, look, ponder, and share YOUR thoughts about what the ideal book
could be like. Next up, adding in 3D visualizations and augmented
reality ...
Near the end of the summer, I was asked by the publishers of Popular Science magazine to produce a visualization piece that explored the archive of their publication. PopSci has a history that spans almost 140 years, so I knew there would be plenty of material to draw from. Working with Mark Hansen, I ended up making a graphic that showed how different technical and cultural terms have come in and out of use in the magazine since it's inception.
Our GeoDataViz team have been virtually exploring and comparing the landscapes with OS data and created a poster to showcase Great Britain's 78 Areas of Outstanding Natural Beauty (AONBs) and National Scenic Areas (NSAs).
Take a look at the blog: www.ordnancesurvey.co.uk/blog/2020/07/using-data-to-explo...
Drawn from public databases, these are the mugshots of those listed as "Memphis Most Wanted" by the Commercial Appeal. The images are sorted by offense type.
I seem to be going through a rough patch schedule-wise, which is
interfering with the usual daily Cool Toys posts. So, for this week, here's
a round-up of things I wanted to post this week, and would have posted if I
hadn't needed to sleep.
[image: Inline image 1]
Grid Republic:
Remember the SETI@Home project? Where people gave permission for their
computer power to be shared with the SETI project whenever the screensaver
kicked in? Same idea, but closer to home. Share your computer cycles with
projects for the biological and health sciences, and related topics. My eye
was caught by this example they'd posted.
Areas with low malaria rates 'need mass vaccination':
www.scidev.net/global/systems/news/areas-with-low-malaria...
[image: Inline image 2]
BioArtography:
I'd love this even if it wasn't from the University of Michigan! I've been
a huge fan of beautiful science photography from labs for DECADES. You
don't want to know how excited I get over the Nikon Small World Contest.
But getting my hands on the pictures is a different matter. I beg for the
free calendars my colleagues get from life science suppliers. I wander
through the lab buildings when I have an excuse snapping surreptitious
iPhone pics of pretty postings on the walls. Here, UM is selling prints and
posters and cards (oh my) of gorgeous photographs from campus labs, with
the proceeds going to fund conference travel expenses for grad students and
students, BRILLIANT!!!
[image: Inline image 3]
uChek:
I could not resist. uChek is an app + device to turn your iPhone into a
portable urinalysis lab. How cool is that? More info about other tech uses
for urine in my blogpost over at ETechLib:
Random Round-up: 16 Cool Things Tech is Doing with Pee:
etechlib.wordpress.com/2013/07/17/random-round-up-16-cool...
[image: Inline image 4]
The Wait We Carry:
Heart wrenching, beautiful, fascinating data visualization of the stats and
stories of United States Veterans waiting for health care coverage to treat
their injuries and related health and mental health complications. The
dataviz starts and ends with stories, offering a window from the war into
the lives of real soldiers who've returned from the wars. There is an
enormous amount of data, which can be sliced and diced in many ways. Want
to know how your state compares? You can do that. Veterans from Operation
Iraqi Freedom? Yes, you can break the info out by conflict. Both? Sure, why
not. Go, explore.
[image: Inline image 5]
Own A Colour:
Because it's gorgeous, and clever. Own a Colour, developed by Glidden
Paints, is one of the most innovative fundraising apps I've seen. Choose
one of the millions of colors that can be displayed on modern high
resolution monitors, claim it, say why you love it, and donate the funds to
UNICEF.
To celebrate 70 years of the Lake District National Park, our GeoDataViz team have applied new techniques to OS data to create two visualisations.
Created by Professor Alasdair Rae using OS OpenData. Find out more at: www.ordnancesurvey.co.uk/blog/2020/05/scottish-highlands-...
Our GeoDataViz team have been virtually exploring and comparing the landscapes with OS data and created a poster to showcase Great Britain's 78 Areas of Outstanding Natural Beauty (AONBs) and National Scenic Areas (NSAs).
Take a look at the blog: www.ordnancesurvey.co.uk/blog/2020/07/using-data-to-explo...
Our GeoDataViz team have been virtually exploring and comparing the landscapes with OS data and created a poster to showcase Great Britain's 78 Areas of Outstanding Natural Beauty (AONBs) and National Scenic Areas (NSAs).
Take a look at the blog: www.ordnancesurvey.co.uk/blog/2020/07/using-data-to-explo...
I am building a small visualization tool to look at the similarities and differences between two articles published in October about head injuries and the NFL:
"Game Brain" by Jeanne Marie Laskas - Oct. 10, 2009
www.gq.com/sports/profiles/200909/nfl-players-brain-demen...
"Offensive Play" by Malcolm Gladwell - Oct. 19, 2009
www.newyorker.com/reporting/2009/10/19/091019fa_fact_glad...
These are some early outputs from the system.
I am building a small visualization tool to look at the similarities and differences between two articles published in October about head injuries and the NFL:
"Game Brain" by Jeanne Marie Laskas - Oct. 10, 2009
www.gq.com/sports/profiles/200909/nfl-players-brain-demen...
"Offensive Play" by Malcolm Gladwell - Oct. 19, 2009
www.newyorker.com/reporting/2009/10/19/091019fa_fact_glad...
These are some early outputs from the system.
See how it's easier than ever to build maps and analyze spatial data using the latest features in Tableau, join the IoT revolution, and learn how to bring the magic of Kepler GL into Tableau with extensions.
Mapbox SF Office
50 Beale Street
San Francisco, CA 94105
Wednesday, April 24 2019
5:30pm
SPEAKERS
Kent Marten, Tableau
Kent is a geographer, with BES from the University of Waterloo, MBA from the University of Redlands, and a GIS diploma from the Centre of Geographic Sciences. Kent has spent his entire career building mapping software products, first for Esri and now for Tableau. This will be Kent’s 7th time speaking at a Tableau User Group event, always about maps.
Shan He, Uber
Shan is a senior data visualization engineer at Uber. She is a coder, a designer, and a data artist. Shan is the founding member of Uber’s data visualization team and creator of kepler.gl
Ryan Baumann, Mapbox
Ryan has a BS in Mechanical Engineering from the University of Wisconsin - Madison. He built the first half of his career in product development at Trek Bikes and Caterpillar, before joining as the first Solutions Engineer at Mapbox in 2016. Now he leads a team of 15 solutions engineers that help customers solve complex problems using location intelligence. Outside of work, Ryan is a is a lifelong cyclist and founder of the athletics design website Athletedataviz. This is his third time speaking at a Tableau User Group event.
Chris DeMartini, Visa
Chris DeMartini came to the Tableau community through his work in network graphing. He has focused on incorporating dynamic aspects to his visualizations as well as working with the Tableau JS API, often blogging about these techniques on DataBlick. Some of his past work includes the likes of jump plots, hive plots, and even his family tree.
--- About Mapbox ---
Mapbox is a live location data platform for mobile and web applications and experiences. Anyone can use Mapbox APIs and SDKs to build live, fully customized interactive maps, game environments, navigation experiences, and data visualizations for consumer apps, business intelligence and logistics platforms, on-demand services, asset tracking, and more. Add your own data layers and build now for web, iOS, Android, Unity 3D, and Qt.
Start building today: www.mapbox.com
See how it's easier than ever to build maps and analyze spatial data using the latest features in Tableau, join the IoT revolution, and learn how to bring the magic of Kepler GL into Tableau with extensions.
Mapbox SF Office
50 Beale Street
San Francisco, CA 94105
Wednesday, April 24 2019
5:30pm
SPEAKERS
Kent Marten, Tableau
Kent is a geographer, with BES from the University of Waterloo, MBA from the University of Redlands, and a GIS diploma from the Centre of Geographic Sciences. Kent has spent his entire career building mapping software products, first for Esri and now for Tableau. This will be Kent’s 7th time speaking at a Tableau User Group event, always about maps.
Shan He, Uber
Shan is a senior data visualization engineer at Uber. She is a coder, a designer, and a data artist. Shan is the founding member of Uber’s data visualization team and creator of kepler.gl
Ryan Baumann, Mapbox
Ryan has a BS in Mechanical Engineering from the University of Wisconsin - Madison. He built the first half of his career in product development at Trek Bikes and Caterpillar, before joining as the first Solutions Engineer at Mapbox in 2016. Now he leads a team of 15 solutions engineers that help customers solve complex problems using location intelligence. Outside of work, Ryan is a is a lifelong cyclist and founder of the athletics design website Athletedataviz. This is his third time speaking at a Tableau User Group event.
Chris DeMartini, Visa
Chris DeMartini came to the Tableau community through his work in network graphing. He has focused on incorporating dynamic aspects to his visualizations as well as working with the Tableau JS API, often blogging about these techniques on DataBlick. Some of his past work includes the likes of jump plots, hive plots, and even his family tree.
--- About Mapbox ---
Mapbox is a live location data platform for mobile and web applications and experiences. Anyone can use Mapbox APIs and SDKs to build live, fully customized interactive maps, game environments, navigation experiences, and data visualizations for consumer apps, business intelligence and logistics platforms, on-demand services, asset tracking, and more. Add your own data layers and build now for web, iOS, Android, Unity 3D, and Qt.
Start building today: www.mapbox.com
Our GeoDataViz team have been virtually exploring and comparing the landscapes with OS data and created a poster to showcase Great Britain's 78 Areas of Outstanding Natural Beauty (AONBs) and National Scenic Areas (NSAs).
Take a look at the blog: www.ordnancesurvey.co.uk/blog/2020/07/using-data-to-explo...
Full graphic. Every franchise history, over 5,000 data points.
To purchase a print, go here: shop.infojocks.com/products/nhl-graphic-history
Created by Professor Alasdair Rae using OS OpenData. Find out more at: www.ordnancesurvey.co.uk/blog/2020/05/scottish-highlands-...
Earlier this week, the UK's Met Office released a data set containing 1,600,000+ temperature readings from more than 1,700 stations around the globe.
This graphic shows an individual month's readings throughout the entire data set (i.e. every measurement from January of every year).
The newest readings are at the edge of the circle - the oldest are at the center.
The stations are arranged by latitude - 3 o'clock is the poles and 9 o'clock is the equator.
This graphic is not meant to convey much information - it is mainly a way to get a sense of the scope of the data set.
I seem to be going through a rough patch schedule-wise, which is
interfering with the usual daily Cool Toys posts. So, for this week, here's
a round-up of things I wanted to post this week, and would have posted if I
hadn't needed to sleep.
[image: Inline image 1]
Grid Republic:
Remember the SETI@Home project? Where people gave permission for their
computer power to be shared with the SETI project whenever the screensaver
kicked in? Same idea, but closer to home. Share your computer cycles with
projects for the biological and health sciences, and related topics. My eye
was caught by this example they'd posted.
Areas with low malaria rates 'need mass vaccination':
www.scidev.net/global/systems/news/areas-with-low-malaria...
[image: Inline image 2]
BioArtography:
I'd love this even if it wasn't from the University of Michigan! I've been
a huge fan of beautiful science photography from labs for DECADES. You
don't want to know how excited I get over the Nikon Small World Contest.
But getting my hands on the pictures is a different matter. I beg for the
free calendars my colleagues get from life science suppliers. I wander
through the lab buildings when I have an excuse snapping surreptitious
iPhone pics of pretty postings on the walls. Here, UM is selling prints and
posters and cards (oh my) of gorgeous photographs from campus labs, with
the proceeds going to fund conference travel expenses for grad students and
students, BRILLIANT!!!
[image: Inline image 3]
uChek:
I could not resist. uChek is an app + device to turn your iPhone into a
portable urinalysis lab. How cool is that? More info about other tech uses
for urine in my blogpost over at ETechLib:
Random Round-up: 16 Cool Things Tech is Doing with Pee:
etechlib.wordpress.com/2013/07/17/random-round-up-16-cool...
[image: Inline image 4]
The Wait We Carry:
Heart wrenching, beautiful, fascinating data visualization of the stats and
stories of United States Veterans waiting for health care coverage to treat
their injuries and related health and mental health complications. The
dataviz starts and ends with stories, offering a window from the war into
the lives of real soldiers who've returned from the wars. There is an
enormous amount of data, which can be sliced and diced in many ways. Want
to know how your state compares? You can do that. Veterans from Operation
Iraqi Freedom? Yes, you can break the info out by conflict. Both? Sure, why
not. Go, explore.
[image: Inline image 5]
Own A Colour:
Because it's gorgeous, and clever. Own a Colour, developed by Glidden
Paints, is one of the most innovative fundraising apps I've seen. Choose
one of the millions of colors that can be displayed on modern high
resolution monitors, claim it, say why you love it, and donate the funds to
UNICEF.
I am building a small visualization tool to look at the similarities and differences between two articles published in October about head injuries and the NFL:
"Game Brain" by Jeanne Marie Laskas - Oct. 10, 2009
www.gq.com/sports/profiles/200909/nfl-players-brain-demen...
"Offensive Play" by Malcolm Gladwell - Oct. 19, 2009
www.newyorker.com/reporting/2009/10/19/091019fa_fact_glad...
These are some early outputs from the system.
Created by Professor Alasdair Rae using OS OpenData. Find out more at: www.ordnancesurvey.co.uk/blog/2020/05/scottish-highlands-...
We celebrated Adam’s birthday in style in uptown Oakland, across from the historic Fox Theater. We dined at Duende (spanish for ‘passion’), feasting on tasty tapas and paellas with with him Dani and Phyllis. Phyllis gave him a lovely handmade birthday card showing him as a dataviz priest with rings of digital bits. And I gave him ‘Unflattening’, an inspiring comic book on how we construct knowledge through multiple viewpoints.
Adam has grown into a fine young man over the years, which makes me very happy. He’s developed just the right mix of passion and reason -- and he’s an inspiration to me. I hope he can keep following his bliss in the next chapter of his life. Joyeux anniversaire, Adam!
Near the end of the summer, I was asked by the publishers of Popular Science magazine to produce a visualization piece that explored the archive of their publication. PopSci has a history that spans almost 140 years, so I knew there would be plenty of material to draw from. Working with Mark Hansen, I ended up making a graphic that showed how different technical and cultural terms have come in and out of use in the magazine since it's inception.
UCD w/2 degrees of separation (Wikipedia-based). It's a fancy circle map. Big whoop - what's the story? This doesn't work... it just looks good. Made using yED graphing software and a graphml-based concept listing.
ps: I not a fan of the phrase UCD (user centered design). How about just Design or Product Design or UI Design?
Our GeoDataViz team have been virtually exploring and comparing the landscapes with OS data and created a poster to showcase Great Britain's 78 Areas of Outstanding Natural Beauty (AONBs) and National Scenic Areas (NSAs).
Take a look at the blog: www.ordnancesurvey.co.uk/blog/2020/07/using-data-to-explo...