View allAll Photos Tagged dataviz
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...
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
I spent the weekend printing a limited edition, silk-screened print for Random Number Multiples. This print, one of two to be included in the edition, is a stylized radial graph of word usage in the New York Times. My two prints will be included in an edition with two prints from Marius Watz.
Prints are editions of 50, and will be available exclusively through Random Number for $100 each. The online store launches the first week of February and there will be an exhibition showcasing both artists’ work on February 11 in Brooklyn. It will be a great opportunity to see the screen prints framed and in person if you’re in the NY area.
Pre-orders can be placed by contacting info@randomnumber.nu
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
original files :
cesarharada.com/download/20120902Network_growth_poster/
www.cesarharada.com/social-geometry-architecture-of-play/
Part 1 : Behavioral Programming
Part 2 : Visual Programming
Part 3 : Numerical Programming
Part 4 : Entropy
========================================================
== Part 1 : Behavioral Programming ==
Warm up
Walk random patterns eyes open
Run random patterns with eyes open
Walk random patterns eyes closed
Run random patterns with eyes closed
Stand up still eyes open, look at others
Stand up still eyes closed, feel others
Stand up still eyes open, stand up on one leg
Stand up on one leg, close one eye. Close the second eye.
Spin in one direction until you get dizzy.
Spin the other direction until you cancel the dizziness.
Stand up still eyes open, look at others
Stand up still eyes closed, feel others
Linear Network (Line)
_ I pull one line and connect everybody.
Walk random patterns eyes closed
Run random patterns with eyes closed
Stand up still eyes closed, feel others
Stand up still eyes open, look at others
Mesh Network (Mesh)
_ I cut the line, disconnecting some, reconnecting others in a mesh.
Walk random patterns eyes closed
Run random patterns with eyes closed
Stand up still eyes closed, feel others
Stand up still eyes open, look at others
Fully Connected Network (Fully Connected)
_ I each and everyone.
Walk random patterns eyes closed
Run random patterns with eyes closed
Stand up still eyes closed, feel others
Stand up still eyes open, look at others
Community building (Segregation)
How do you feel?
We went through 3 different types of network topologies :
1) a line network
2) a mesh network
3) a fully connected network
Which one did you prefer / dislike? Why?
What defines a community? Why?
Now I will get back to giving a few more instructions.
_ Pause.
Stand up still eyes closed, feel others
Feel others with the strings.
Which strings do you like most? Which string would you rather drop.
Keep the strings you like, drop the strings you don't feel comfortable holding.
Eyes closed, keep holding the strings, but now move freely, wherever you want to go.
When you feel you are in the right place, stop. Take your time.
When I will see more than half of you standing still, this will be the end of this part of the experiment.
_ Pause.
How do you feel?
What did you learn?
What did we learn as a group?
How could push this experiment further?
========================================================
== Part 2: Visual Programming ==
========================================================
== Part 3 : Numerical Programming ==
Follow these steps.
Functions collide.
Similar to ”DNA repair”, or “game of life”.
========================================================
== Part 4 : Entropy ==
No instructions.
Do whatever you want to do.
Play.
Go !
[...]
?!!!
========================================================
Playground / Labs
#1 Home
#2 Park
We're going to run a few small graphics this week and into the postseason analyzing the playoff field. Here's the second, comparing game by game point differentials for the playoff field. UGH, Seattle.
Full version here: infojocks.com/Tumblr/nflplayoffs2.png
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...
Bubble-TV est une visualisation en temps réel des messages publics émis sur Twitter. De manière ludique et décalée, Bubble-TV permet de suivre les tweets, de les classer par opinion et de créer ainsi des tendances en temps réel lors d’une émission de télé. Issue d’un premier travail primé lors du concours de Google dataviz Elections 2012, cette nouvelle version est le fruit d’une collaboration entre l’Institut de recherche et d’innovation du Centre Pompidou (IRI), l’équipe de recherche Aviz de l’INRIA et l’équipe de l’émission.
plus d'informations :
www.iri.centrepompidou.fr/experimentations/bubble-tv/?lan...
For the August issue of Wired UK, I built a two-page infographic looking at some of the ways we can track human mobility from cellular phone data.
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.
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...
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...
Bubble-TV est une visualisation en temps réel des messages publics émis sur Twitter. De manière ludique et décalée, Bubble-TV permet de suivre les tweets, de les classer par opinion et de créer ainsi des tendances en temps réel lors d’une émission de télé. Issue d’un premier travail primé lors du concours de Google dataviz Elections 2012, cette nouvelle version est le fruit d’une collaboration entre l’Institut de recherche et d’innovation du Centre Pompidou (IRI), l’équipe de recherche Aviz de l’INRIA et l’équipe de l’émission.
plus d'informations :
www.iri.centrepompidou.fr/experimentations/bubble-tv/?lan...
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.
I spent the weekend printing a limited edition, silk-screened print for Random Number Multiples. This print, one of two to be included in the edition, is a stylized radial graph of word usage in the New York Times. My two prints will be included in an edition with two prints from Marius Watz.
Prints are editions of 50, and will be available exclusively through Random Number for $100 each. The online store launches the first week of February and there will be an exhibition showcasing both artists’ work on February 11 in Brooklyn. It will be a great opportunity to see the screen prints framed and in person if you’re in the NY area.
Pre-orders can be placed by contacting info@randomnumber.nu
What does the DNA of a nation look like?
This is the question I wanted to explore with my visualization of data associated with the UK's National DNA Database, which I built for the July issue of Wired UK.
The final graphic is composed of more than 5 million dots - one for each profile stored in the NDNAD. This graphic was constructed using a custom-written software program that I wrote.
For more information, visit my blog - blog.blprnt.com
Built with Processing (http://www.processing.org)
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
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...
Bubble-TV est une visualisation en temps réel des messages publics émis sur Twitter. De manière ludique et décalée, Bubble-TV permet de suivre les tweets, de les classer par opinion et de créer ainsi des tendances en temps réel lors d’une émission de télé. Issue d’un premier travail primé lors du concours de Google dataviz Elections 2012, cette nouvelle version est le fruit d’une collaboration entre l’Institut de recherche et d’innovation du Centre Pompidou (IRI), l’équipe de recherche Aviz de l’INRIA et l’équipe de l’émission.
plus d'informations :
www.iri.centrepompidou.fr/experimentations/bubble-tv/?lan...
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...
Bubble-TV est une visualisation en temps réel des messages publics émis sur Twitter. De manière ludique et décalée, Bubble-TV permet de suivre les tweets, de les classer par opinion et de créer ainsi des tendances en temps réel lors d’une émission de télé. Issue d’un premier travail primé lors du concours de Google dataviz Elections 2012, cette nouvelle version est le fruit d’une collaboration entre l’Institut de recherche et d’innovation du Centre Pompidou (IRI), l’équipe de recherche Aviz de l’INRIA et l’équipe de l’émission.
plus d'informations :
www.iri.centrepompidou.fr/experimentations/bubble-tv/?lan...
Alguns sketches sobre possíveis soluções para o problema da ordem lógica das cores. Aqui já levando em conta a representação das diferentes obras em sequência.
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.
Alguns sketches sobre possíveis soluções para o problema da ordem lógica das cores. Os últimos já levam em conta a representação das diferentes obras em sequência.
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.
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.
Bubble-TV est une visualisation en temps réel des messages publics émis sur Twitter. De manière ludique et décalée, Bubble-TV permet de suivre les tweets, de les classer par opinion et de créer ainsi des tendances en temps réel lors d’une émission de télé. Issue d’un premier travail primé lors du concours de Google dataviz Elections 2012, cette nouvelle version est le fruit d’une collaboration entre l’Institut de recherche et d’innovation du Centre Pompidou (IRI), l’équipe de recherche Aviz de l’INRIA et l’équipe de l’émission.
plus d'informations :
www.iri.centrepompidou.fr/experimentations/bubble-tv/?lan...
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.
Matéria infográfica produzida para a segunda edição de Um Só Planeta da Época Negócios. Infografia: Marco Vergotti. Textos: Martina Medina
The Sex and Design Axioms pitch at OSCON.
Axioms previewed in the presentation:
Let data scream
Reality bites
Prototype like crazy
Pixel perfect
Repeat customers ROCK
Slideshare with live audio track from OSCON (only half of the audio is sync'ed with the slides because Slidescare sucks at handling big presentations), also Keynote available through the same link):
www.slideshare.net/jsonin/sex-design-axioms-5sections-f
PDF (23MB):
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.
www.visualcomplexity.com/vc/index.cfm?domain=Social%20Net...
Amazing repository of social network visualisation
I spent the weekend printing a limited edition, silk-screened print for Random Number Multiples. This print, one of two to be included in the edition, is a stylized radial graph of word usage in the New York Times. My two prints will be included in an edition with two prints from Marius Watz.
Prints are editions of 50, and will be available exclusively through Random Number for $100 each. The online store launches the first week of February and there will be an exhibition showcasing both artists’ work on February 11 in Brooklyn. It will be a great opportunity to see the screen prints framed and in person if you’re in the NY area.
Pre-orders can be placed by contacting info@randomnumber.nu
Marilyn, Andy Warhol
O anjo, Caravaggio
Quarto,Van Gogh
Ajustes sobre os filtros de organização das cores.
Definida a forma de representação — linear e proporcional à quantidade — ainda era preciso trabalhar na sequência: matiz > brilho > saturação VS brilho > matiz > saturação VS saturação > brilho > matiz etc.
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.
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...
Alguns sketches sobre possíveis soluções para o problema da sequência das cores. A solução final segue o caminho sugerido no segundo esboço.
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.
Rediscovering the City: New methods of researching and exploring the city
Photo by Bartek Barczyk CC BY 4.0 Medialab Katowice
O anjo, Caravaggio
Mais estudos de representação das cores em sequência.
A partir daqui comecei a perceber que, embora essa divisão fosse importante dentro da lógica interna dos dados, era muito confusa para o leitor — que precisaria mais reconhecer a paleta do quadro do que descobrir de que é feita uma cor.
Os dois últimos esboços já começam a se aproximar da solução final.
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.
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...
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.
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.
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.