Andy Kirk Malofiej 20 Presentation

My name is Andy Kirk

Visualisation Consultanthttp://www.quoteaustininsurance.com/images/Consultant.jpg

Visualisation Designerhttp://gizmodo.com/5792960/paul-allen-dishes-out-gossip-on-bill-gates-and-his-yacht-on-60-minutes

Visualisation Trainerhttp://cathybretag.blogspot.com/2010/10/first-time-out-reflection-on-my-first.html

Hebden Bridge London2.5 hours

Hebden Bridge2.5 mins London

Curse of KnowledgeAbsence of Knowledge

Surprise the novice,get the expert to nod Mirko Lorenz

Showcase of data visualisationtechniques for thriving in the age of big data

Showcase of data visualisation techniques for thriving in the age of data that has thousands ofrecords and is quite complex and makes life difficult

It’s not a technology problem; it’s a people problem. Aron Pilhofer (on data journalism) Editor of Interactive News, New York Times

What is Big Data?Why does it matter to you?

Context Google Insights: “Infographic”http://www.google.com/insights/search/#q=%22Big%20Data%22%2CInfographics&date=6%2F2007%2058m&cmpt=q

Context Google Insights: “Big Data”http://www.google.com/insights/search/#q=%22Big%20Data%22%2CInfographics&date=6%2F2007%2058m&cmpt=q

We are capturing, creating and mobilisingunbelievable amounts of data at an unbelievable rate. And it is increasing.

Volume Variety Velocityhttp://radar.oreilly.com/2012/01/what-is-big-data.html

Yahoo! C.O.R.E. Data Visualization | Periscopic http://www.flickr.com/photos/visualizeyahoo/sets/72157629000570607/

http://www.zimbio.com/Ted+Danson/articles/13/TV+DVD+Cheers+Final+Season+4+DVD+Set

Running the Numbers II: Portraits of global mass culture | Chris Jordan http://www.chrisjordan.com/gallery/rtn2/#gyre2

Visualisation should berecognised as a discovery tool. Manuel Lima http://www.visualcomplexity.com/vc/blog/?p=644

Peer review wars | Nigel Hawtinhttp://www.flickr.com/photos/nhawtin/5243787538/in/photostream/lightbox/

http://starwarsaficionado.blogspot.com/2011/12/classic-image-its-worse.html

http://v2.centralstory.com/about/squiggle/

1. Be clear about the visualisation’s purpose and parameters

EXPLORE: facilitate reasoning of data EXPLAIN: convey information to others Analysis Monitor/Signals Familiarise with data Answer questions/Inform Support graphical calculation Learn/Increase knowledge Find patterns/Find no patterns Contextualise data Discover questions Present arguments Interact Assist with decisions Shape opinion/Persuade Emphasize issues Tell a story Inspire Shock/Make an impact Enlighten Change behaviour Entertain/fun Art/Aesthetic pleasure

Jet Tracker | Wall Street Journal http://projects.wsj.com/jettracker/

So many parameters!

Brief? Open, strict, helpful, unhelpfulFormat? Static, interactive, videoPressures? Timescales, editorialAudience size? One, group, wwwAudience type? Domain experts, generalResolution? Headlines, clusters, look-upRules? Structure, layout, style, colourCapabilities? Design, technical, technologyPeople? Individual, team, collaboration

Analyst Politician Computer scientist Journalist Researcher Designer Cognitive scientist http://www.jasonnazar.com/2008/09/23/10-lessons-startups-can-learn-from-superheros/

2. Identify and develop questions about the problem context

What questions are you hoping toanswer through this visualisation?What stories should users/readers be able to derive from this visualisation?

Just Landed | Jer Thorphttp://blog.blprnt.com/blog/blprnt/just-landed-processing-twitter-metacarta-hidden-data

3. Acquire, prepare and exploreyour data to begin familiarisation

Transforming Transforming Pre-prod.Acquisition Examination Consolidating for quality for purpose visualisation System download API Web scrape Scanned documents

Transforming Transforming Pre-prod.Acquisition Examination Consolidating for quality for purpose visualisation Is it fit for purpose? Is it complete? Identify data types

Transforming Transforming Pre-prod.Acquisition Examination Consolidating for quality for purpose visualisation Missing values Erroneous values Duplicates Uncommon characters Freak outliers?

Transforming Transforming Pre-prod.Acquisition Examination Consolidating for quality for purpose visualisation Parsing Merging Normalisation Conversion eg. Codify free-text Inspired by Kim Rees’ talk at 2011 Wolfram Summit - http://www.wolframdatasummit.org/2011/attendee/presentations/Rees.pptx

Transforming Transforming Pre-prod.Acquisition Examination Consolidating for quality for purpose visualisation Full resolution Filter/Exclude (records & variables) Aggregate/Roll-up Sample Statistics Inspired by Kim Rees’ talk at 2011 Wolfram Summit - http://www.wolframdatasummit.org/2011/attendee/presentations/Rees.pptx

Yahoo! Mail Data Visualization | Periscopichttp://www.flickr.com/photos/visualizeyahoo/sets/72157627722660160/with/6235510547/

Transforming Transforming Pre-prod.Acquisition Examination Consolidating for quality for purpose visualisation What other data do I need?

The United States of 2012 for Esquire Magazine | Stamen http://content.stamen.com/united_states_of_2012

Transforming Transforming Pre-prod.Acquisition Examination Consolidating for quality for purpose visualisation Patterns Relationships Range and distribution Outliers

World Nuclear Reactor Sites | Nigel Hawtin/Peter Aldhoushttp://public.tableausoftware.com/views/WorldNuclearReactorSites2/NorthAmerica?:embed=y

4. Conceive your visualisation design solution

The 5 layers of a visualisation...Data representationColour and backgroundAnimation and interactionLayout, placement and apparatusThe annotation layer

http://www.informationisbeautifulawards.com/2011/10/napkin-shortlist-for-the-1st-challenge/

138 years of popular science | Jer Thorp and Mark Hansen http://www.flickr.com/photos/blprnt/6281316931/sizes/o/in/photostream/

My working process is riddledwith dead-ends, messy errors and bad decisions JerThorp

138 years of popular science | Jer Thorp and Mark Hansen http://blog.blprnt.com/blog/blprnt/138-years-of-popular-science

Space Junk | Jen Christiansen and Jan Willem Tulp Scientific American, April 2012

http://projects.nytimes.com/census/2010/explorer

Posted: Visualizing US expansion through post offices | Derek Watkins http://derekwatkins.wordpress.com/2011/08/06/posted/

Max Planck Research Networks | Moritz Stefaner and Christopher Warnow http://max-planck-research-networks.net/

Data Theft | Jen Christiansen Scientific American, October 2011

The annotation layer is themost important thing we do... Otherwise it’s a case of here it is, you go figure it out. Amanda Cox Graphics Editor, New York Times http://eyeofestival.com/speaker/amanda-cox/

http://www.stanford.edu/group/ruralwest/cgi-bin/drupal/visualizations/us_newspapers

5. Construct, launch and evaluate your visualisation solution

...you’ve started playing with thevisualization instead of debugging ... you hit some level of engagement and it becomes really interesting Martin Wattenberg, "Big Picture" data visualization group, Google http://queue.acm.org/detail.cfm?id=1744741

You know you’ve achievedperfection in design, not when you have nothing more to add, but when you have nothing more to take away Antoine de Saint-Exupery

Sense of Patterns | Mahir M. Yavuz http://casualdata.com/senseofpatterns/

Sense of Patterns | Mahir M. Yavuzhttp://www.visualizing.org/full-screen/32596/embedlaunch

Thank you to… Nigel Hawtin Jen Christiansen Moritz Stefaner Alberto Cairo Sarah Slobin Derek Watkins Kim Rees Mahir M Yavuz Jer Thorp Stamen

www.visualisingdata.comandy@visualisingdata.com @visualisingdata

http://www.visualisingdata.com	2985
http://visualoop.com	1316
http://visualisingdata.com	172
http://feeds.feedburner.com	28
http://us-w1.rockmelt.com	10
http://vizdat.collected.info	9
http://www.seeingdata.co.uk	7
http://translate.googleusercontent.com	4
http://www.netvibes.com	3
http://feedproxy.google.com	3
http://xianguo.com	3
http://www.newsblur.com	2
http://www.visualisingdata.co.uk	1
http://bit.ly	1

Andy Kirk Malofiej 20 Presentation

by Andy Kirk on Mar 26, 2012

Accessibility

Categories

Upload Details

Usage Rights

14 Embeds 4,544

Statistics

Andy Kirk Malofiej 20 Presentation Presentation Transcript