Data visualisation stories from… India, by Ananth Mani

A couple of months ago I launched my appeal for data visualisation stories from around the world. The purpose of this series is to invite designers, journalists, academics, bloggers, analysts or just simply residents, from as many different countries as possible, to illuminate the rest of us with their observations about the visualisation scene in their country or region. You can see the growing collection of articles in this series here.

After reading about Alberto Cairo’s experiences from Brazil in the first part of this series, in this second article we hear from another major emerging economy, namely India. Specifically, we speak to Ananth Mani from Chennai where he is CEO of Report Bee, a new start-up aimed at developing data visualization reporting solutions for schools around report cards and student performance.

Here, Ananth provides some background about his own experiences of data visualisation and the motivation and ideas behind Report Bee.

 

Visualisation Perceptions

Ananth, how did you personally get into data visualisation? Have you been trained, who have you learnt from etc.?

I understand things better when presented visually and I like digging out patterns. It started with playing with charts in excel. I used to stare in awe for long duration the music visualization by winamp player, but I guess the tipping point was Hans Rosling’s legendary TEDTalk. Seeing the talk I realized data visualization is great opportunity knocking the door. That single spark is enough to start a wild fire, I hunted around to know more about creating similar data visualization. Started to incorporate or encourage to team to built nice data visualization chart in the applications we built.

I’ve not been trained formally – I have largely learned from reading on internet and following great blogs on this subject. However I feel the data science is mature enough to be taught and I insist that people should do some kind of practical training.

How would you describe the visualisation scene in India? Is it something growing in line with the economic growth, for example? What are the most prominent contemporary examples?

It is at nascent stage at hobbyist level. It would grow because of the same reasons world wide, the sheer amount of data is growing rapidly and there is huge in efficiency in the current set of MIS, Data mining, Reports. Not just the volume of data but data is also getting real-time, we need new set of systems and tools to process the data and make quick decision. It is going to be competitive edge.

The government has taken steps to open up census, whole saleprice index, rainfall etc again these are at still early stage, much needs to be done.

How is visualisation being used in the media, in corporate world, in sport, science, government etc.? Are there any key gaps or barriers to progress? Cultural, technical, capabilities?

Assuming this question is set for Indian context. Sports has been front running in visualization, you can see it in Cricket. The media has been using visualization and analysis during elections.

The key barriers are the tools and talent which are at early stage with respect to data visualization, so I would rate technical capability to be key challenge.

 

Report Bee

Tell me about Report Bee?

Report Bee was created with the vision to get useful and actionable insights from data. While there are software available that can give some of the above information. We have found that the information given is very cumbersome for daily use and decision making. There is real need for simple but powerful data visualization that can make information consumption a pleasure. Here’s an example:

This short video provides more detail:

What inspired you to develop Report Bee? What was the real need or problem you were hoping to solve through visualisation?

Education is undergoing rapid change and one un-intended side effects is that there is lot of data that teacher and school management needs to handle. I was walking in one of the schools and saw huge pile of students annual report card dump, being a data junkie my heart sunk at seeing all valuable student data rot away silently. In the same school we wanted to help students who have consistently been in a specific range of grades, to get this list of students the school took 3 weeks and the teacher who toiled to get the list request us to never ask such things.

I believe we can help school management to get the pulse of school progress at a student/class level without having to dig and go through reams of paper reports. Report Bee has set out to radically improve the way students’ performance data is used for interpretation and analysis by teachers and school staff. Our aim is to create a great tool that makes a teachers’ life easy by helping them understand every student’s strengths and weaknesses over the span of his/her tenure in the school – at a single click.

Can you briefly describe your typical design and development process behind your visualisation work? How do you move through idea > data > analysis > design > presentation etc.?

It is highly iterative process. It starts with available data, we develop sample visualization and what insights can be derived. We showcase this to teachers/school management and students for feedback. Based on the feedback we not only re-design the visualization we design new set of data that needs to be captured.

Tools are Python, MS Excel and Photoshop during the ideation and prototype stage. Python, HTML, CSS for visualization. Web application is on Rails.

What has been the impact of Report Bee? What are your future plans/ambitions for Report Bee?

The feedback from teachers and school management has been overwhelming. We have been growing rapidly since inception – adding 2-3 new schools every week.

Report Bee’s vision is to make teachers, students and school management completely aware of their performance and progress. We don’t just specialize in data visualization and analysis but also focus on making it fun to understand.

We plan to create reports for students and parents. We also plan to partner and work with existing systems schools may have.

Here is some of the work we had done.

1) SSLC Results 2011: Tamilnadu Government

2) Sea Level Rise: British High Commission

3) District performance: Akshara Foundation

4) TN SSLC 2009-10: Tamilnadu Government

5) TN TRB 2010-11: Tamilnadu Government

Finally, Ananth has a request for any interested readers:

1) As a start-up based out of India with limited resources, we need interns who can help us in working with next set of data visualization. If you know of any students interested for internship please refer to us.

2) We are interested in visualisation experts to join our advisory board.

You can find contact details for Ananth at Report Bee here.

 


 
I’ve a number of volunteer reporters lined up from the four corners of the planet, but I’m always on the look out for more! If you’ve got any sort of interest or involvement in data visualisation, regardless of how professional or casual this may be, feel free to send me a visualisation story from your part of the world. It can be as long, short, complicated, deep or simple as you like, the remit is very much decided by you. I’m also looking to publish multiple stories from the same regions – there is great value from having more than one perspective. Read more about my ideas here or drop me a note at andy@visualisingdata.com.

Data visualisation stories from… Brazil, by Alberto Cairo

A couple of months ago I launched my appeal for data visualisation stories from around the world. The purpose of this series is to invite designers, journalists, academics, bloggers, analysts or just simply residents, from as many different countries as possible, to illuminate the rest of us with their observations about the visualisation scene in their country or region. You can see the growing collection of articles in this series here.

In this first article of the series we hear from Alberto Cairo. Alberto is an exceptionally prolific and active contributor to the development and practice of the visualisation field. He is Director of Infographics and Multimedia at Época-Editora Globo, in São Paulo, Brazil, a writer for El Pais, he works for several other Brazilian magazines, he is an information graphics and visualisation teacher, a consultant, an author – the list goes on!

Here, Alberto provides a snapshot of data visualisation practice specifically from within the world of data journalism, detailing a project he has recently produced for Época, the magazine he works for, and through other prominent designs and designers.

Interactive and print visualisation project [Época]

One of the main political conversation in Brazil is how candidates to the House and the Senate get the money for their campaigns. The main claim of many critics is that the biggest the funding you get from private donors, the higher your chances to get elected. The thing is that the data to prove that is a bit hard to get, and no one before has visualized that relationship. So we did it here at Época!

(click image for larger version)

The main element of the online version is a tool that allows you to see the correlation between campaign funding (vertical axis) and number of votes (horizontal axis). We are representing just candidates for Congress (we will do something similar with other politicians in the future). There were more than 3,000 in the country in the 2010 election. The interactive graphic includes a search engine, so you can locate the guy you want to see, and you can filter, state by state, party by party.

Additionally, the scatter-plot doesn’t allow you to see rankings, so we also created a table (the Tabela tab) where you can organize the entire list of candidates by party, by funding, by votes and by cos per vote (an interesting number, there is people who, proportionally, spent a lot of money for each vote they got). This is something we try over and over – for each kind of question the reader may want to answer with the tool, the data should be represented in a different form.

Our main focus is not to create something visually striking, but useful.

At the bottom of the HTML page, we included several jpgs published in the print magazine where we highlight the most interesting cases. Also, data can be downloaded in Excel format, so any reader can play with them.

So far, it has been a success down here. We had responses from readers both on Facebook and Twitter. Besides, it was highlighted by two important media commentators that happen to specialize in data journalism. One of them was Jose Roberto de Toledo, who made a video clip for the newspaper he works for about the story and why it was relevant.

The impact has been more qualitative than quantitative (although it has had a generous amount of readers, Facebook likes and Tweets) – the relationship between campaign expenses and the chances of being elected had never been so clearly represented before, even when it was a common discussion in the media. We are gathering the data already to expand this and show same relationships with every single candidate in the country. Let´s see if we can handle it!

At Época we try to use unusual graphic forms when its appropriate. In the graphic below I used a Philips Curve to display the co-evolution of GDP (horizontal scale) and inequality (vertical scale), presidency after presidency (color-coded), so you can see how the country stabilized in a continuous downward trend only with Fernando Henrique Cardoso (FHC) and Lula, the ones that put inflation and the economy en general under control:

Another example of a project we worked on was around this interactive work which presented the history and projections of the world population with a slider which allows the reader to explore the key milestones.

Sometimes I even write about how we do our projects at Época (which usually are low-tech). I translated one of those making of articles to English a while ago – you can find it on my Visualopolis blog. We also write articles in Portuguese for a blog of the Design and Infographics departments (they work together, but are separate), that is called Faz Caber (“make it fit“, a local joke – it’s a sentence that layout designers hear all the time) explaining how we do our graphics. The second current article describes the making of the politics visualisation project outlined above.

Visualisation examples from other publications

Some other important Brazilian publications include Estado de São Paulo newspaper. They have a very, very innovative graphics department, and they did an excellent job with the 2010 elections, and other recent topics. Here are some examples of their web based work:

And here are some of their print works:

I would also mention Folha de São Paulo, the other big newspaper here, particularly the work of Simon Ducroquet. You can see from the examples below what the guy does:

Political Party genealogy -

Elections mapping -

So, in conclusion, I would say Brazil’s graphics and visualizations are flourishing!

 


 
I’ve a number of volunteer reporters lined up from the four corners of the planet, but I’m always on the look out for more! If you’ve got any sort of interest or involvement in data visualisation, regardless of how professional or casual this may be, feel free to send me a visualisation story from your part of the world. It can be as long, short, complicated, deep or simple as you like, the remit is very much decided by you. I’m also looking to publish multiple stories from the same regions – there is great value from having more than one perspective. Read more about my ideas here or drop me a note at andy@visualisingdata.com.

Send me a pic of your design workspace!

Two posts from different feeds have combined to inspire me to ask this question and find out, from those of you out there who do design work, what working environments and workspaces you perform in.

Firstly, I saw this review of a standing desk on Core77. I’m at the beginning of the tiresome process of selling and moving houses and one of the primary reasons for this move is to create a more effective space for a home office. The idea of working at a standing desk has been interesting me for a while.

Secondly, I saw Nathan’s collection of images on FlowingData, showing ‘in the wild’ photos taken by owners of his Visualize This book. In particular, I sat open-mouthed at the workspace that reader Paul has the great fortune to find himself working in (does he really do any work, though, or does he just stare through the window all day?!).

** Update: thanks to Andy Cotgreave for astutely noticing that this is actually a wall of monitors with an attractive desktop image spanning across the view, not an office poised on the edge of the Grand Canyon or the Rockies! **

This pair of posts made me think: I’d love to see where others work.

What sort of interesting places do you find yourself doing your creative visualisation designs? Maybe you have a great view or work in an office with inspiring art and wall hangings? Maybe you have a mega-impressive set up of hardware you want to show off? Perhaps, you work on a beach, a park bench or from a Starbucks?

Whereever and whatever your workplace is, no matter how interesting or unique it is, just snap it and zap it over to me at andy@visualisingdata.com. I’ll upload them onto the blog and try build a collection. It doesn’t matter how non-unique or non-GoogleHQ-ified it is, lets see where the design magic is happening!

 


 

Here are the photos readers have sent in to me so far:

1) This comes from Ramiro Aznar, taken in Zaragoza, Spain.

2) I received a number of images from Sebastian Rauer - currently based in Berlin, Germany – “I worked for several media agencys, as a freelancer, the last few years, so I acutally have more than one or two pictures of nice looking workspaces“.

3) This comes from Francesca Cerrato, a designer based in Houston, Texas.

4) This one comes from casa Visualising Data!

5) These images come from Alysia Bennett, all the way from Hobart, Tasmania (first is her office at the Office of the State Architect and second is her home workspace).

Can a graphic be SO bad it starts to become good?

I feel compelled to share and briefly discuss this, even though it is getting plenty of column inches already via Twitter/blogs. It is an infographic published on visual.ly and produced for Microsoft to promote their cloud computing in the Asia Pacific.

The accompanying description suggests…

Microsoft wanted to create a visual statistic on how people think about Cloud Computing in Asia Pacific. We created infographic with a flow and simplified the data to make it easy to understand.

I’m having a very strange experience with this particular graphic. Rarely has one piece of visualisation or infographic design ever broken so many established practices, principles and rules of effective communication. Take a look at the balloon element below. Case closed. It is essentially impenetrable on an interpretation level – it clearly does NOT make it easy to understand.

And yet I have probably spent more time staring at it and studying it than most pieces I’ve seen for a long time. Its proving to be a challenge similar in nature to Where’s Wally, I know there is something there that will inform me, but I just can’t seem to find a way of getting there.

So, to answer my rather sensationalist opening question, is it so bad that at some point it starts to become good?

As with any piece of visualisation/graphic work, it depends entirely on the objective. I can’t tell you much about Microsoft’s progress in the Asia Pacific or the attitudes of people in that region towards cloud computing, but the basic concept and connection of Microsoft to cloud computing is now firmly implanted in my mind, much more so than before, because I’ve spent so damn long looking at it. If the objective had been around inherent advertisement the graphic it probably has been good at achieving what it set out.

However, if we refer back to the text that came with the piece, the objective implied from this description is that the graphic represents a visual statistic with data that is simplified to make it easy to understand. In that sense it completely and utterly fails on every level.

Anyway, here’s a challenge, which can you complete first – useful insights from the Microsoft graphic or find Wally in the image below? On your marks, get set, go…

DataAppeal maps US east coast earthquake

During my recent stint as guest-editor on Infosthetics, I profiled a new tool called DataAppeal which allows you to upload and map geospatial data in three-dimension on top of a Google Earth map.

Nadia Amaroso, the DataAppeal.com founder, has responded quickly to yesterday’s unusual earthquakes on the US east cost. She has retrieved a dataset form the “did you feel it” pages of the US Geological Society, uploaded it onto DataAppeal and produced a range of different visualisations based on the recorded intensities of recorded readings in the cities impacted.

These visualisations are presented here as snapshot images but can be produced and shared as KML/KMZ files which allow you to explore and navigate around them in 3D via Google Earth, thus overcoming the shortcomings of viewing 3D data in a 2D landscape. Here are some sample files: KMZ1 and KMZ2.

‘State of the Word’: What can you do with this WordPress survey data?

Matt Mullenweg, founding developer of WordPress, published details of his 2011 ‘State of the Word’, an annual overview of the headlines, success stories, facts and figures relating to the utilisation of the opensource web/blog tool. Part of this narrative was based on results from the first ever WordPress user and developer survey, which got over 18,000 responses from all over the world, as mapped below:

There is a goldmine of potential insights contained within the survey data: juicy bait that Matt dangles to visualisation designers out there…

We know there’s more good stuff hidden in there and we’re open sourcing and releasing the raw information behind it. If you’re a researcher and would like to dig into the anonymized survey data yourself, you can grab it here. (Careful, it’s a 9MB CSV.)

So, anyone got time and/or interest to give it a go? I’m not launching a contest, no prizes, but if anyone does come up with some interesting visualisation designs let me know and I’ll stick them up on the site and, of course, share them back with the WordPress crew themselves.

Incidentally, here is the full video of Matt’s address:

Announcing the winner of the 3M PocketProjector MP180 giveaway!

Last week I announced a quickfire contest where I was going to give away a brand new 3M PocketProjector MP180 to one lucky person.

To enter, all you had to do was submit a comment beginning with the phrase “Winning a 3M PocketProjector MP180 would be fantastic because…” and then provide a compelling reason why you would benefit most from winning this device.

The contest closed last night and there were a total of 62 valid entries. I extracted the names and comment details, threw them into an Excel-based random draw generator, got my shaky iPhone video recording ready and recorded the exciting countdown action for ultimate transparency and competition integrity.

The name of the winner can now be revealed via the gift of an embedded YouTube…

Thanks to all who entered, there were some very noble and also very funny comments – I would like to be in position to send a device to all of you, but I am neither Santa Claus nor Oprah Winfrey.

Please can the winner contact me ASAP, with your contact and address details, so that I can get the device sent out to you in the post.

Data Viz Schedule for O’Reilly Strata Conference

A few weeks ago I published details of the O’Reilly Strata Conference event which is taking place in New York, between September 19 and 23. The finalised line up of speakers, sessions and topics has now been confirmed for the main part of the conference, “Making Data Work”, and I thought I would share my thoughts on the ideal schedule from a data visualisation perspective.

** Note that you can still catch the early bird discount registration rates through to August 23rd and receive a further 20% discount by using the code DATA **



Thursday 22nd September

8:45am

WelcomeEdd Dumbill (O’Reilly Media, Inc. ), Alistair Croll (Bitcurrent)

Opening remarks by the Strata program chairs, Edd Dumbill and Alistair Croll.

9:00am

KeynoteRachel Sterne (City of New York)

Keynote by Rachel Sterne, Chief Digital Officer for the City of New York.

9:15am

A Profusion of Exoplanets: NASA’s Kepler MissionJon Jenkins (NASA)

The Kepler Mission began its science observations just over two years ago on May 12, 2009, initiating NASA’s first search for Earth-like planets. Initial results and light curves from Kepler are simply breath-taking, including confirmation of the first unquestionable rocky planet, Kepler-10b, and Kepler-11b, a system of 6 transiting planets orbiting one Sun-like star.

9:30am

KeynoteJer Thorp (The New York Times)

Keynote by Jer Thorp, Data Artist in Residence, The New York Times.

9:55am

KeynoteJohn Rauser (Amazon)

Keynote by John Rauser, Amazon

10:40am

Data Visualization – where normal people fall in love with data - Hjalmar Gislason (DataMarket)

Statistics, math and data analysis would easily make most people’s “Top 10 Most Boring Topics” list. But an effective data visualization can bring new insights, raise awareness and tell a great story. We want to share our insights from efforts to enable data visualizations on top of massive amounts of data, explore good – and bad – examples and share some of the tools and techniques we use.

11:30am

Humble pie: helping the Guardian chart big stories through small detailsAlastair Dant (Guardian News and Media)

Widespread reaction to the recent phone hacking story prompted the Guardian to capture and visualize Twitter traffic during key events. Find out how we produced interactive interfaces that enable readers to make sense of over 1.5 million tweets in a few minutes.

1:40pm

How to Avoid Some Common Graphical Mistakes - Naomi Robbins (NBR)

Readers and preparers of graphs: Learn to recognize and avoid some common graphical mistakes to understand your data better and make better decisions from data.

2:30pm

The Charts You Want Might Not Be the Charts You Need - Irene Ros (Bocoup)

This talk will introduce the concept of “responsible data visualization” in the context of two distinct uses: exploration and narrative. Using personal and industry examples to show best and worst practices in each approach, this talk will offer practical suggestions to bringing data visualization into one’s data workflow.

4:10pm

Data Science from the Perspective of an Applied EconomistScott Nicholson (LinkedIn)

Economists utilize a data analysis toolkit and intuition that can be very helpful to Data Scientists. In particular, econometric methods are quite useful in disentangling correlation and causation, a use case not well-handled by standard machine learning and statistical techniques. This session will cover examples of econometric methods in action, as well as other economics-related insights.

5:00pm

Mint.com: A Startup’s Journey into Big DataDavid Michaels (Intuit Personal Finance Group (Mint.com))

In this session, Mint.com’s David Michaels will share a case study about Mint’s journey into big data. He will cover: how Mint manages and measures data from million users as well as how the company uses anonymous and aggregated data to improve its products and help users save money.



Friday23rd September

8:45am

WelcomeEdd Dumbill (O’Reilly Media, Inc. ), Alistair Croll (Bitcurrent)

8:50am

Doing Good With Data: Data Without BordersJake Porway (The New York Times), Drew Conway (New York University)

Data scientists and technology companies are rapidly recognizing the immense power of data for drawing insights about their impact and operations, yet NGOs and non-profits are increasingly being left behind with mounting data and few resources to make use of it.

9:00am

KeynoteMark Madsen (Third Nature)

Keynote by Mark Madsen, Third Nature

9:20am

Health Empowerment through Self-TrackingAnne Wright (CMU)

The BodyTrack Project is building tools, both technological and cultural, to empower more people to embrace an “investigator” role in their own lives.

9:40am

KeynoteHilary Mason (bit.ly)

Keynote by Hilary Mason, bit.ly

10:00am

Calling for a New Paradigm: Machines Plus HumansArnab Gupta (Opera Solutions)

This talk will discuss the pitfalls of the man versus machine premise while underscoring the need for man and machine to work together in order to make the most of Big Data. We will also address the need to create a new, visual language to allow humans and machines to realize the full potential of their collaboration.

10:40am

Chart Wars: The Political Power of Data VisualizationAlex Lundry (TargetPoint Consulting)

Politically charged data visualization emerged over the last election cycle as a provocative and powerful means of persuasive communication. We’ve seen organizational charts used as protest signs and the White House regularly releases infographics. With these political “chart wars” as a backdrop, this presentation will show you how to be a smart consumer of data visualizations and infographics.

11:30am

Designing Data Visualizations: Telling Stories With DataNoah Iliinsky (Complex Diagrams)

A jumpstart lesson on how to get from a blank page and a pile of data to a useful data visualization. We’ll focus on the design process, not specific tools. The talk will include discussion of figuring out what story to tell, selecting right data, and picking appropriate encodings. We’ll briefly discuss tools and visualization styles, and look at several examples.

1:40pm

Beyond BI – Transforming Your Business with Big Data AnalyticsSteven Hillion (EMC DCD)

Steven Hillion, VP of EMC Greenplum’s Data Analytics Lab lends insight into emerging technologies to take advantage of the big data opportunity and how big data challenges today’s BI architectures and approaches to data management.

2:30pm

HunchWorks: Combining human expertise and big dataChris van der Walt (United Nations Global Pulse), Dane Petersen (Adaptive Path), Sara Farmer (UN Global Pulse)

United Nations Global Pulse and Adaptive Path have been collaborating on a new global crisis impact tool called HunchWorks that allows experts to post hypotheses about emerging crises and crowd source verification. The presentation will focus on lessons learned from a complex project that combines human expertise and big data algorithms using human-centered design and assistive intelligence.

4:10pm

Gaining New Insights from Massive Amounts of Machine DataJake Flomenberg (Splunk)

This session examines the challenges and approaches for collecting, organizing and extracting value from machine data – the data generated continuously by all IT systems containing a record of all activity and behavior. Harnessing this data can provide valuable new insights for both IT and business users. This session will be hosted by Splunk’s CIO and Salesforce.com.

5:10pm

Taming Data Logistics – the Hardest Part of Data ScienceKen Farmer (IBM)

While most of the focus in data science is on the rapid analysis of vast volumes of data, the hardest part of most solutions is the data acquisition, movement, transformation, and loading – the “data logistics”. This presentation will describe the common challenges and solutions – including the best and worst practices that can be reused from Data Warehousing.

Best of the visualisation web… July 2011

At the end of each month I pull together a collection of links to some of the most relevant, interesting or thought-provoking articles I’ve come across during the previous month. If you follow me on Twitter – and now Google+ too – you will see many of these items tweeted as soon as I find them. Here’s the latest collection from July 2011:

Bloom Blog | Creating new worlds

OUseful | Visualising Twitter Friend Connections Using Gephi: An Example Using the @WiredUK Friends Network

Charlie Park | Edward Tufte’s “Slopegraphs”

Stamen | Introducing Map Equals Yes

Datavisualization.ch | How We Visualized 23 Years of Geo Bee Contests

Datavisualization.ch | In Graphics Issue 2

Eager Eyes | Want to Make A Chart Memorable? Add Junk

Fell In Love With Data | The Data Visualization Beginner’s Toolkit #1: Books and Other Resources

Official Google Blog | Catch the London Underground with Google Maps

Infosthetics | iPhone Fireflies: Mapping the Movements of iPhones in Europe

Infosthetics | People Movin: Revealing the Immigration Patterns in the World

InfoVis HFKB | This site presents the results of the course on Information Visualization held by Moritz Stefaner at HfK Bremen in the summer semester of 2011. For the final projects, the theme was “mapping you, mapping me”.

Drawar | Laws of Simplicity — Law 4: Learn

Drawar | Redesigning And Re-Thinking The News

Adobe Labs | Adobe Edge Preview – Motion and Interaction Design for HTML5

Londonist | Data Visualisation Shows London’s Twitter And Flickr Traffic

IEEE Spectrum | When the Problem Is the Problem

MOMA | Talk To Me Exhibition 2011

Online Journalism Blog | Cleaning data using Google Refine: a quick guide

O’Reilly Radar | Google+ is the social backbone

Smart Data Collective | Pushing the Data Visualization Envelope: an Interview with Tableau’s Ellie Fields

BBC | Outriders: Visualised journeys, interview with Nathan Yau

Dashboard Insight | Special Interview With Stephen Few, Dashboard and Data Visualization Expert

Fastco Design | Fineo Creates Tufte-Worthy Diagrams With Just A Few Clicks

Fastco Design | Infographic Of The Day: Cellphone Calls Reveal The United States’s Invisible Ties

Datablog | Data journalism at the Guardian: what is it and how do we do it?

Juice Analytics | Wow vs. Ah-ha: Artists and Practitioners in Data Visualization

KD Nuggets | Ben Shneiderman talk on Information Visualization for Knowledge Discovery

New York Times | World Bank is Opening its Treasure Chest of Data

Data Doodle | How to analyze unfamiliar data: circle, dive, and riff

Perceptual Edge | Data Blooms in Beauty and Truth

Scientific American | Thinking by Design: The science of everyday beauty reveals what people really like—and why

Statistical Graphics and more | Statistical Graphics vs. InfoVis (More on this next month…)

UX Matters | How Cognitive Fluency Affects Decision Making

Epic Graphic | The Data Cake

10,000 Words | A year in the life of the New York Times homepage

Columbia Journalism Review | A Visualization of Newspapers’ History

Datavisualization.ch | Movity.com (now Trulia) provide detailed information about life quality of different city districts with the TenderNoise project.

Datablog | The new world map: download it for yourself

Excel Charts | My Personal Data Visualization Library

Fell In Love With Data | How to Become a Data Visualization Freelancer | Interview with Moritz Stefaner

Eloqua | 16 Experts Answer, “What makes a great infographic?”

Guardian Environmental Blog | Map lays bare landscape of UK in intimate detail

Submit a comment to enter 3M PocketProjector MP180 giveaway!

Following on from my review, I’m excited to announce a quick and easy-to-enter contest where one lucky reader will win a brand new 3M PocketProjector MP180, courtesy of 3M and FreshNetworks.

To enter all you need to do is submit a comment against this blog post.

The comment should begin with the phrase “Winning a 3M PocketProjector MP180 would be fantastic because…” and then go onto provide a compelling reason why you would benefit most from winning this device.

The deadline for receiving comments will be 23.59 (BST) on Wednesday 17th August.

I will randomly draw a winner from a list of those who have submitted a comment. It doesn’t matter if you are the first of last to submit a comment, I will export all names and make the random selection outside of the comments sequence.

On Thursday 18th August I will announce the winner. You should watch for this announcement (across all my outlets) and if you are lucky to win, send me your delivery details and I’ll get the device in the post to you ASAP. It doesn’t matter where in the world you live, everyone is welcome to take part.

Good luck!