SlideShare ist ein Scribd-Unternehmen logo
1 von 40
data visualization:
  clouding




     anne helmond & sabine niederer

 doing digital methods, rmes workshop, 28 june 2011
data visualization


    the science of visual representation of “data”,
    defined as information which has been abstracted
    in some schematic form, including attributes or
    variables for the units of information. (2009:1)




                                        michael friendly
data visualization




                     1482: ptolemy's world map
data visualization




                     1611: scheiner's “tres epistolae”
data visualization




           1782: de fourcroy “tableau poleometrique”
data visualization




                     1805: playfair
data visualization




                     1836: parent-duchatelet
data visualization




                     1837: harness
data visualization




                     1869: minard
data visualization




                     1873: loua’s scalogram
data visualization




                     1991: schneiderman
direct visualization



   data is reorganized into a new visual
   representation that preserves its original form




                                          manovich 2010
data visualization




   a weighted list

                     1992
history of the tag cloud




                           1995
history of the tag cloud




                           1997-2003
history of the tag cloud




                           2004
tag cloud de nition



  A tag cloud (word cloud, or weighted list in visual
  design) is a visual representation for text data,
  typically used to depict keyword metadata (tags)
  on websites, or to visualize free form text.




                                                wikipedia
tag

 In online computer systems terminology, a tag is a
 non-hierarchical keyword or term assigned to a
 piece of information (such as an internet
 bookmark, digital image, or computer le). This
 kind of metadata helps describe an item and
 allows it to be found again by browsing or
 searching. Tags are chosen informally and
 personally by the item's creator or by its viewer,
 depending on the system.



                                             wikipedia
tagging


   Tagging systems enable users to add keywords
   (i.e., “tags”) to Internet resources (e.g., web pages,
   images, videos) without relying on a controlled
   vocabulary.

   [...] a freely chosen set of keywords (“tags”).




                                           marlow et al 2006
folksonomy
  A folksonomy is a system of classi cation derived from
  the practice and method of collaboratively creating
  and managing tags to annotate and categorize
  content; this practice is also known as collaborative
  tagging, social classi cation, social indexing, and social
  tagging. (Wikipedia)

  Folksonomy is the result of personal free tagging of
  information and objects (anything with a URL) for
  one's own retrieval. The tagging is done in a social
  environment (usually shared and open to others).
  Folksonomy is created from the act of tagging by the
  person consuming the information. (Vander Wal 2007)
types of tag clouds
types of tag clouds
            content
types of tag clouds




                      ordered
types of tag clouds




                      un-ordered
types of tag clouds




                      centered
ontological classi cation
 Domain to be Organized
                       √      Domain to be Organized
                                                     X
 • Small corpus               • Large corpus
 • Formal categories          • No formal categories
 • Stable entities            • Unstable entities
 • Restricted entities        • Unrestricted entities
 • Clear edges                • No clear edges
 Participants                 Participants
 • Expert catalogers          • Uncoordinated users
 • Auth. source of judgment   • Amateur users
 • Coordinated users          • Naive catalogers
 • Expert users               • No Authority
                                                 shirky 2005
tagging critiques



    messy
    amateur
    spammy
    non-human metadata
tag-elese




            simons 2008
messy
fauxonomy




  “metadata added with the conscious intent to
  confuse or obfuscate,” or to weight them for
  spammish reasons. (Jamais Cascio)
                                             cascio 2007
non-human metadata
extracting value from big data


    The strategy of tagging -- free-form labeling,
    without regard to categorical constraints -- seems
    like a recipe for disaster, but as the Web has shown
    us, you can extract a surprising amount of value
    from big messy data sets.




                                                shirky 2005
compare privacy policies
tag exercise 1


  Compare privacy policies: Twitter and Facebook

  1. Look up privacy policies
  2. Copy/paste all text into Wordle
  3. Adjust visualizations in Wordle for readability
  4. Compare visualizations
tag exercise 1
                advanced


  Compare privacy policies: Twitter and Facebook

  1. Look up privacy policies
  2. Copy/paste all text into Tagxedo
  3. Adjust visualizations in Tagxedo for readability
  4. Exclude terms (which ones?)
  5. Compare visualizations
clouding current events
           #glastonbury




                          27 june 2011
tag exercise 2

  Clouding a current event: Glastonbury

  1. Scrape top 1000 tweets for #Glastonbury using
  the Twitterscraper
  2. Open le in Excel/OpenOffice
  3. Copy/paste text column in Tagxedo
  4. Exclude terms (which ones?)
  5. Compare visualizations
tag exercise 2
                advanced

  Clouding a current event: Glastonbury on Twitter
  and in Google News

  1. Use previous instructions for Twitter
  2. Enter keyword Glastonbury in Tagxedo
  3. Adjust visualizations in Tagxedo for readability
  4. Exclude same terms as Twitter
  5. Compare visualizations
sources

Images
http://web.archive.org/web/20040607054247/http://www.flickr.com/photos/tags/
http://web.archive.org/web/20041204231120/http://twiki.tensegrity.net/bin/view/Main/SearchReferralZeitgeist
http://web.archive.org/web/20041122035256/http://twinkler.43things.com/twinkler/
http://www.librarything.com/blogs/thingology/2007/07/fauxonomy/
Artist featured in photos: Tomas Saraceno

Services
http://www.tagxedo.com
http://www.wordle.net

Articles
Friendly, Michael (2009). “Milestones in the history of thematic cartography, statistical graphics, and data visualization.” PDF
Marlow, Cameron, Mor Naaman, danah boyd and Marc Davis (2006). "HT06, Tagging Paper, Taxonomy, Flickr, Academic
Article, ToRead." Proceedings of Hypertext 2006, New York: ACM Press.
Shirky, Clay (2005). “Ontology is Overrated: Categories, Links, and Tags.”
Stevenson, Michael. “Getting things done? Tagging, del.icio.us and procrastination.” http://whateverbutton.com/blog/
index.php/getting-things-done-tagging-delicious-and-procrastination/
anne@digitalmethods.net

                   sabine@digitalmethods.net




  kthxbai!
www.digitalmethods.net
                               artist: tomas saraceno

Weitere ähnliche Inhalte

Ähnlich wie DMI Workshop. Data visualization: Clouding

The Semantic Web: What IAs Need to Know About Web 3.0
The Semantic Web: What IAs Need to Know About Web 3.0The Semantic Web: What IAs Need to Know About Web 3.0
The Semantic Web: What IAs Need to Know About Web 3.0Chiara Fox Ogan
 
myExperiment @ Nettab
myExperiment @ NettabmyExperiment @ Nettab
myExperiment @ NettabDuncan Hull
 
What is web 2.0pptx
What is web 2.0pptxWhat is web 2.0pptx
What is web 2.0pptxdrusie
 
Structured Data Presentation
Structured Data PresentationStructured Data Presentation
Structured Data PresentationShawn Day
 
Linked Open Data Visualization
Linked Open Data VisualizationLinked Open Data Visualization
Linked Open Data VisualizationLaura Po
 
Lecture 4: Metadata
Lecture 4: MetadataLecture 4: Metadata
Lecture 4: Metadata6500jmk4
 
Relationships Matter: Using Connected Data for Better Machine Learning
Relationships Matter: Using Connected Data for Better Machine LearningRelationships Matter: Using Connected Data for Better Machine Learning
Relationships Matter: Using Connected Data for Better Machine LearningNeo4j
 
Falling in and out and in love with Information Architecture
Falling in and out and in love with Information ArchitectureFalling in and out and in love with Information Architecture
Falling in and out and in love with Information ArchitectureLouis Rosenfeld
 
Linked Open Data Alignment and Enrichment Using Bootstrapping Based Techniques
Linked Open Data Alignment and Enrichment Using Bootstrapping Based TechniquesLinked Open Data Alignment and Enrichment Using Bootstrapping Based Techniques
Linked Open Data Alignment and Enrichment Using Bootstrapping Based TechniquesPrateek Jain
 
Understanding Information Architecture
Understanding Information ArchitectureUnderstanding Information Architecture
Understanding Information ArchitectureScott Abel
 
ESWC SS 2013 - Monday Keynote Stefan Decker: From Linked Data to Networked Kn...
ESWC SS 2013 - Monday Keynote Stefan Decker: From Linked Data to Networked Kn...ESWC SS 2013 - Monday Keynote Stefan Decker: From Linked Data to Networked Kn...
ESWC SS 2013 - Monday Keynote Stefan Decker: From Linked Data to Networked Kn...eswcsummerschool
 
AAT LOD Microthesauri
AAT LOD MicrothesauriAAT LOD Microthesauri
AAT LOD MicrothesauriMarcia Zeng
 
Breaking Down Walls in Enterprise with Social Semantics
Breaking Down Walls in Enterprise with Social SemanticsBreaking Down Walls in Enterprise with Social Semantics
Breaking Down Walls in Enterprise with Social SemanticsJohn Breslin
 
Unlocking doors: recent initiatives in open and linked data at National Libra...
Unlocking doors: recent initiatives in open and linked data at National Libra...Unlocking doors: recent initiatives in open and linked data at National Libra...
Unlocking doors: recent initiatives in open and linked data at National Libra...Gill Hamilton
 
Introduction to Graph databases and Neo4j (by Stefan Armbruster)
Introduction to Graph databases and Neo4j (by Stefan Armbruster)Introduction to Graph databases and Neo4j (by Stefan Armbruster)
Introduction to Graph databases and Neo4j (by Stefan Armbruster)barcelonajug
 
20120419 linkedopendataandteamsciencemcguinnesschicago
20120419 linkedopendataandteamsciencemcguinnesschicago20120419 linkedopendataandteamsciencemcguinnesschicago
20120419 linkedopendataandteamsciencemcguinnesschicagoDeborah McGuinness
 
Pratt Sils LIS653 4 Fall 2007
Pratt Sils LIS653 4 Fall 2007Pratt Sils LIS653 4 Fall 2007
Pratt Sils LIS653 4 Fall 2007PrattSILS
 
bridging formal semantics and social semantics on the web
bridging formal semantics and social semantics on the webbridging formal semantics and social semantics on the web
bridging formal semantics and social semantics on the webFabien Gandon
 
Taxonomy vs Tagsonomy
Taxonomy vs TagsonomyTaxonomy vs Tagsonomy
Taxonomy vs TagsonomyRoxy Pilly
 

Ähnlich wie DMI Workshop. Data visualization: Clouding (20)

The Semantic Web: What IAs Need to Know About Web 3.0
The Semantic Web: What IAs Need to Know About Web 3.0The Semantic Web: What IAs Need to Know About Web 3.0
The Semantic Web: What IAs Need to Know About Web 3.0
 
myExperiment @ Nettab
myExperiment @ NettabmyExperiment @ Nettab
myExperiment @ Nettab
 
What is web 2.0pptx
What is web 2.0pptxWhat is web 2.0pptx
What is web 2.0pptx
 
Structured Data Presentation
Structured Data PresentationStructured Data Presentation
Structured Data Presentation
 
Linked Open Data Visualization
Linked Open Data VisualizationLinked Open Data Visualization
Linked Open Data Visualization
 
Lecture 4: Metadata
Lecture 4: MetadataLecture 4: Metadata
Lecture 4: Metadata
 
Relationships Matter: Using Connected Data for Better Machine Learning
Relationships Matter: Using Connected Data for Better Machine LearningRelationships Matter: Using Connected Data for Better Machine Learning
Relationships Matter: Using Connected Data for Better Machine Learning
 
Falling in and out and in love with Information Architecture
Falling in and out and in love with Information ArchitectureFalling in and out and in love with Information Architecture
Falling in and out and in love with Information Architecture
 
Linked Open Data Alignment and Enrichment Using Bootstrapping Based Techniques
Linked Open Data Alignment and Enrichment Using Bootstrapping Based TechniquesLinked Open Data Alignment and Enrichment Using Bootstrapping Based Techniques
Linked Open Data Alignment and Enrichment Using Bootstrapping Based Techniques
 
Understanding Information Architecture
Understanding Information ArchitectureUnderstanding Information Architecture
Understanding Information Architecture
 
ESWC SS 2013 - Monday Keynote Stefan Decker: From Linked Data to Networked Kn...
ESWC SS 2013 - Monday Keynote Stefan Decker: From Linked Data to Networked Kn...ESWC SS 2013 - Monday Keynote Stefan Decker: From Linked Data to Networked Kn...
ESWC SS 2013 - Monday Keynote Stefan Decker: From Linked Data to Networked Kn...
 
AAT LOD Microthesauri
AAT LOD MicrothesauriAAT LOD Microthesauri
AAT LOD Microthesauri
 
PhD Proposal Defense - Prateek Jain
PhD Proposal Defense - Prateek JainPhD Proposal Defense - Prateek Jain
PhD Proposal Defense - Prateek Jain
 
Breaking Down Walls in Enterprise with Social Semantics
Breaking Down Walls in Enterprise with Social SemanticsBreaking Down Walls in Enterprise with Social Semantics
Breaking Down Walls in Enterprise with Social Semantics
 
Unlocking doors: recent initiatives in open and linked data at National Libra...
Unlocking doors: recent initiatives in open and linked data at National Libra...Unlocking doors: recent initiatives in open and linked data at National Libra...
Unlocking doors: recent initiatives in open and linked data at National Libra...
 
Introduction to Graph databases and Neo4j (by Stefan Armbruster)
Introduction to Graph databases and Neo4j (by Stefan Armbruster)Introduction to Graph databases and Neo4j (by Stefan Armbruster)
Introduction to Graph databases and Neo4j (by Stefan Armbruster)
 
20120419 linkedopendataandteamsciencemcguinnesschicago
20120419 linkedopendataandteamsciencemcguinnesschicago20120419 linkedopendataandteamsciencemcguinnesschicago
20120419 linkedopendataandteamsciencemcguinnesschicago
 
Pratt Sils LIS653 4 Fall 2007
Pratt Sils LIS653 4 Fall 2007Pratt Sils LIS653 4 Fall 2007
Pratt Sils LIS653 4 Fall 2007
 
bridging formal semantics and social semantics on the web
bridging formal semantics and social semantics on the webbridging formal semantics and social semantics on the web
bridging formal semantics and social semantics on the web
 
Taxonomy vs Tagsonomy
Taxonomy vs TagsonomyTaxonomy vs Tagsonomy
Taxonomy vs Tagsonomy
 

Mehr von Digital Methods Initiative

Query Design for Digital Methods by Richard Rogers
Query Design for Digital Methods by Richard RogersQuery Design for Digital Methods by Richard Rogers
Query Design for Digital Methods by Richard RogersDigital Methods Initiative
 
Richard Rogers, Otherwise Engaged: Critical Analytics and the New Meanings of...
Richard Rogers, Otherwise Engaged: Critical Analytics and the New Meanings of...Richard Rogers, Otherwise Engaged: Critical Analytics and the New Meanings of...
Richard Rogers, Otherwise Engaged: Critical Analytics and the New Meanings of...Digital Methods Initiative
 
Digital Methods Summer School 2015 Tool Medley
Digital Methods Summer School 2015 Tool MedleyDigital Methods Summer School 2015 Tool Medley
Digital Methods Summer School 2015 Tool MedleyDigital Methods Initiative
 
Digital Methods Summer School 2014 Tool Medley
Digital Methods Summer School 2014 Tool MedleyDigital Methods Summer School 2014 Tool Medley
Digital Methods Summer School 2014 Tool MedleyDigital Methods Initiative
 
Rogers studyingpoliticalissues mar2014_optimized_ii_
Rogers studyingpoliticalissues mar2014_optimized_ii_Rogers studyingpoliticalissues mar2014_optimized_ii_
Rogers studyingpoliticalissues mar2014_optimized_ii_Digital Methods Initiative
 
Rogers digitalmethodsaftersocialmedia nov2013_optimized_
Rogers digitalmethodsaftersocialmedia nov2013_optimized_Rogers digitalmethodsaftersocialmedia nov2013_optimized_
Rogers digitalmethodsaftersocialmedia nov2013_optimized_Digital Methods Initiative
 
Interactive visualization and exploration of network data with Gephi
Interactive visualization and exploration of network data with GephiInteractive visualization and exploration of network data with Gephi
Interactive visualization and exploration of network data with GephiDigital Methods Initiative
 
National Tracking Ecologies - Digital Methods Summer School 2013
National Tracking Ecologies - Digital Methods Summer School 2013National Tracking Ecologies - Digital Methods Summer School 2013
National Tracking Ecologies - Digital Methods Summer School 2013Digital Methods Initiative
 
Cross-Platform Profiling tutorial at the Digital Methods Summer School 2013
Cross-Platform Profiling tutorial at the Digital Methods Summer School 2013Cross-Platform Profiling tutorial at the Digital Methods Summer School 2013
Cross-Platform Profiling tutorial at the Digital Methods Summer School 2013Digital Methods Initiative
 
Tracking the Trackers tutorial at the Digital Methods Summer School 2013
Tracking the Trackers tutorial at the Digital Methods Summer School 2013Tracking the Trackers tutorial at the Digital Methods Summer School 2013
Tracking the Trackers tutorial at the Digital Methods Summer School 2013Digital Methods Initiative
 
Repurposing Wikipedia: Wikipedia as data set and analytical device
Repurposing Wikipedia: Wikipedia as data set and analytical deviceRepurposing Wikipedia: Wikipedia as data set and analytical device
Repurposing Wikipedia: Wikipedia as data set and analytical deviceDigital Methods Initiative
 
Crawling and Scraping tutorial at the Digital Methods Summer School 2013
Crawling and Scraping tutorial at the Digital Methods Summer School 2013Crawling and Scraping tutorial at the Digital Methods Summer School 2013
Crawling and Scraping tutorial at the Digital Methods Summer School 2013Digital Methods Initiative
 
Studying Facebook via Data Extraction: a Netvizz tutorial at the Digital Meth...
Studying Facebook via Data Extraction: a Netvizz tutorial at the Digital Meth...Studying Facebook via Data Extraction: a Netvizz tutorial at the Digital Meth...
Studying Facebook via Data Extraction: a Netvizz tutorial at the Digital Meth...Digital Methods Initiative
 
Digital Methods Summer School 2013 Tool Medley
Digital Methods Summer School 2013 Tool MedleyDigital Methods Summer School 2013 Tool Medley
Digital Methods Summer School 2013 Tool MedleyDigital Methods Initiative
 
Traces of the Trackers. Tracking the Trackers: A historical analysis using th...
Traces of the Trackers. Tracking the Trackers: A historical analysis using th...Traces of the Trackers. Tracking the Trackers: A historical analysis using th...
Traces of the Trackers. Tracking the Trackers: A historical analysis using th...Digital Methods Initiative
 

Mehr von Digital Methods Initiative (20)

Query Design for Digital Methods by Richard Rogers
Query Design for Digital Methods by Richard RogersQuery Design for Digital Methods by Richard Rogers
Query Design for Digital Methods by Richard Rogers
 
Digital Methods by Richard Rogers
Digital Methods by Richard RogersDigital Methods by Richard Rogers
Digital Methods by Richard Rogers
 
Richard Rogers, Otherwise Engaged: Critical Analytics and the New Meanings of...
Richard Rogers, Otherwise Engaged: Critical Analytics and the New Meanings of...Richard Rogers, Otherwise Engaged: Critical Analytics and the New Meanings of...
Richard Rogers, Otherwise Engaged: Critical Analytics and the New Meanings of...
 
Digital Methods Tool Medley
Digital Methods Tool MedleyDigital Methods Tool Medley
Digital Methods Tool Medley
 
Digital Methods Summer School 2015 Tool Medley
Digital Methods Summer School 2015 Tool MedleyDigital Methods Summer School 2015 Tool Medley
Digital Methods Summer School 2015 Tool Medley
 
Rogers data days_2014_slides_opti
Rogers data days_2014_slides_optiRogers data days_2014_slides_opti
Rogers data days_2014_slides_opti
 
Digital Methods Summer School 2014 Tool Medley
Digital Methods Summer School 2014 Tool MedleyDigital Methods Summer School 2014 Tool Medley
Digital Methods Summer School 2014 Tool Medley
 
Rogers studyingpoliticalissues mar2014_optimized_ii_
Rogers studyingpoliticalissues mar2014_optimized_ii_Rogers studyingpoliticalissues mar2014_optimized_ii_
Rogers studyingpoliticalissues mar2014_optimized_ii_
 
Rogers digitalmethodsaftersocialmedia nov2013_optimized_
Rogers digitalmethodsaftersocialmedia nov2013_optimized_Rogers digitalmethodsaftersocialmedia nov2013_optimized_
Rogers digitalmethodsaftersocialmedia nov2013_optimized_
 
The Birth of Social Media Methods
The Birth of Social Media MethodsThe Birth of Social Media Methods
The Birth of Social Media Methods
 
Interactive visualization and exploration of network data with Gephi
Interactive visualization and exploration of network data with GephiInteractive visualization and exploration of network data with Gephi
Interactive visualization and exploration of network data with Gephi
 
National Tracking Ecologies - Digital Methods Summer School 2013
National Tracking Ecologies - Digital Methods Summer School 2013National Tracking Ecologies - Digital Methods Summer School 2013
National Tracking Ecologies - Digital Methods Summer School 2013
 
Cross-Platform Profiling tutorial at the Digital Methods Summer School 2013
Cross-Platform Profiling tutorial at the Digital Methods Summer School 2013Cross-Platform Profiling tutorial at the Digital Methods Summer School 2013
Cross-Platform Profiling tutorial at the Digital Methods Summer School 2013
 
Tracking the Trackers tutorial at the Digital Methods Summer School 2013
Tracking the Trackers tutorial at the Digital Methods Summer School 2013Tracking the Trackers tutorial at the Digital Methods Summer School 2013
Tracking the Trackers tutorial at the Digital Methods Summer School 2013
 
Repurposing Wikipedia: Wikipedia as data set and analytical device
Repurposing Wikipedia: Wikipedia as data set and analytical deviceRepurposing Wikipedia: Wikipedia as data set and analytical device
Repurposing Wikipedia: Wikipedia as data set and analytical device
 
Crawling and Scraping tutorial at the Digital Methods Summer School 2013
Crawling and Scraping tutorial at the Digital Methods Summer School 2013Crawling and Scraping tutorial at the Digital Methods Summer School 2013
Crawling and Scraping tutorial at the Digital Methods Summer School 2013
 
Studying Facebook via Data Extraction: a Netvizz tutorial at the Digital Meth...
Studying Facebook via Data Extraction: a Netvizz tutorial at the Digital Meth...Studying Facebook via Data Extraction: a Netvizz tutorial at the Digital Meth...
Studying Facebook via Data Extraction: a Netvizz tutorial at the Digital Meth...
 
Digital Methods Summer School 2013 Tool Medley
Digital Methods Summer School 2013 Tool MedleyDigital Methods Summer School 2013 Tool Medley
Digital Methods Summer School 2013 Tool Medley
 
Hashtag lifelines
Hashtag lifelinesHashtag lifelines
Hashtag lifelines
 
Traces of the Trackers. Tracking the Trackers: A historical analysis using th...
Traces of the Trackers. Tracking the Trackers: A historical analysis using th...Traces of the Trackers. Tracking the Trackers: A historical analysis using th...
Traces of the Trackers. Tracking the Trackers: A historical analysis using th...
 

Kürzlich hochgeladen

UKCGE Parental Leave Discussion March 2024
UKCGE Parental Leave Discussion March 2024UKCGE Parental Leave Discussion March 2024
UKCGE Parental Leave Discussion March 2024UKCGE
 
Patterns of Written Texts Across Disciplines.pptx
Patterns of Written Texts Across Disciplines.pptxPatterns of Written Texts Across Disciplines.pptx
Patterns of Written Texts Across Disciplines.pptxMYDA ANGELICA SUAN
 
Philosophy of Education and Educational Philosophy
Philosophy of Education  and Educational PhilosophyPhilosophy of Education  and Educational Philosophy
Philosophy of Education and Educational PhilosophyShuvankar Madhu
 
Patient Counselling. Definition of patient counseling; steps involved in pati...
Patient Counselling. Definition of patient counseling; steps involved in pati...Patient Counselling. Definition of patient counseling; steps involved in pati...
Patient Counselling. Definition of patient counseling; steps involved in pati...raviapr7
 
Prescribed medication order and communication skills.pptx
Prescribed medication order and communication skills.pptxPrescribed medication order and communication skills.pptx
Prescribed medication order and communication skills.pptxraviapr7
 
NOTES OF DRUGS ACTING ON NERVOUS SYSTEM .pdf
NOTES OF DRUGS ACTING ON NERVOUS SYSTEM .pdfNOTES OF DRUGS ACTING ON NERVOUS SYSTEM .pdf
NOTES OF DRUGS ACTING ON NERVOUS SYSTEM .pdfSumit Tiwari
 
Easter in the USA presentation by Chloe.
Easter in the USA presentation by Chloe.Easter in the USA presentation by Chloe.
Easter in the USA presentation by Chloe.EnglishCEIPdeSigeiro
 
How to Solve Singleton Error in the Odoo 17
How to Solve Singleton Error in the  Odoo 17How to Solve Singleton Error in the  Odoo 17
How to Solve Singleton Error in the Odoo 17Celine George
 
Latin American Revolutions, c. 1789-1830
Latin American Revolutions, c. 1789-1830Latin American Revolutions, c. 1789-1830
Latin American Revolutions, c. 1789-1830Dave Phillips
 
How to Add Existing Field in One2Many Tree View in Odoo 17
How to Add Existing Field in One2Many Tree View in Odoo 17How to Add Existing Field in One2Many Tree View in Odoo 17
How to Add Existing Field in One2Many Tree View in Odoo 17Celine George
 
CAULIFLOWER BREEDING 1 Parmar pptx
CAULIFLOWER BREEDING 1 Parmar pptxCAULIFLOWER BREEDING 1 Parmar pptx
CAULIFLOWER BREEDING 1 Parmar pptxSaurabhParmar42
 
How to Add a New Field in Existing Kanban View in Odoo 17
How to Add a New Field in Existing Kanban View in Odoo 17How to Add a New Field in Existing Kanban View in Odoo 17
How to Add a New Field in Existing Kanban View in Odoo 17Celine George
 
How to Add a many2many Relational Field in Odoo 17
How to Add a many2many Relational Field in Odoo 17How to Add a many2many Relational Field in Odoo 17
How to Add a many2many Relational Field in Odoo 17Celine George
 
3.19.24 Urban Uprisings and the Chicago Freedom Movement.pptx
3.19.24 Urban Uprisings and the Chicago Freedom Movement.pptx3.19.24 Urban Uprisings and the Chicago Freedom Movement.pptx
3.19.24 Urban Uprisings and the Chicago Freedom Movement.pptxmary850239
 
How to Show Error_Warning Messages in Odoo 17
How to Show Error_Warning Messages in Odoo 17How to Show Error_Warning Messages in Odoo 17
How to Show Error_Warning Messages in Odoo 17Celine George
 
What is the Future of QuickBooks DeskTop?
What is the Future of QuickBooks DeskTop?What is the Future of QuickBooks DeskTop?
What is the Future of QuickBooks DeskTop?TechSoup
 
Benefits & Challenges of Inclusive Education
Benefits & Challenges of Inclusive EducationBenefits & Challenges of Inclusive Education
Benefits & Challenges of Inclusive EducationMJDuyan
 
Education and training program in the hospital APR.pptx
Education and training program in the hospital APR.pptxEducation and training program in the hospital APR.pptx
Education and training program in the hospital APR.pptxraviapr7
 
CapTechU Doctoral Presentation -March 2024 slides.pptx
CapTechU Doctoral Presentation -March 2024 slides.pptxCapTechU Doctoral Presentation -March 2024 slides.pptx
CapTechU Doctoral Presentation -March 2024 slides.pptxCapitolTechU
 

Kürzlich hochgeladen (20)

UKCGE Parental Leave Discussion March 2024
UKCGE Parental Leave Discussion March 2024UKCGE Parental Leave Discussion March 2024
UKCGE Parental Leave Discussion March 2024
 
Patterns of Written Texts Across Disciplines.pptx
Patterns of Written Texts Across Disciplines.pptxPatterns of Written Texts Across Disciplines.pptx
Patterns of Written Texts Across Disciplines.pptx
 
Philosophy of Education and Educational Philosophy
Philosophy of Education  and Educational PhilosophyPhilosophy of Education  and Educational Philosophy
Philosophy of Education and Educational Philosophy
 
Patient Counselling. Definition of patient counseling; steps involved in pati...
Patient Counselling. Definition of patient counseling; steps involved in pati...Patient Counselling. Definition of patient counseling; steps involved in pati...
Patient Counselling. Definition of patient counseling; steps involved in pati...
 
Prescribed medication order and communication skills.pptx
Prescribed medication order and communication skills.pptxPrescribed medication order and communication skills.pptx
Prescribed medication order and communication skills.pptx
 
NOTES OF DRUGS ACTING ON NERVOUS SYSTEM .pdf
NOTES OF DRUGS ACTING ON NERVOUS SYSTEM .pdfNOTES OF DRUGS ACTING ON NERVOUS SYSTEM .pdf
NOTES OF DRUGS ACTING ON NERVOUS SYSTEM .pdf
 
Easter in the USA presentation by Chloe.
Easter in the USA presentation by Chloe.Easter in the USA presentation by Chloe.
Easter in the USA presentation by Chloe.
 
How to Solve Singleton Error in the Odoo 17
How to Solve Singleton Error in the  Odoo 17How to Solve Singleton Error in the  Odoo 17
How to Solve Singleton Error in the Odoo 17
 
Personal Resilience in Project Management 2 - TV Edit 1a.pdf
Personal Resilience in Project Management 2 - TV Edit 1a.pdfPersonal Resilience in Project Management 2 - TV Edit 1a.pdf
Personal Resilience in Project Management 2 - TV Edit 1a.pdf
 
Latin American Revolutions, c. 1789-1830
Latin American Revolutions, c. 1789-1830Latin American Revolutions, c. 1789-1830
Latin American Revolutions, c. 1789-1830
 
How to Add Existing Field in One2Many Tree View in Odoo 17
How to Add Existing Field in One2Many Tree View in Odoo 17How to Add Existing Field in One2Many Tree View in Odoo 17
How to Add Existing Field in One2Many Tree View in Odoo 17
 
CAULIFLOWER BREEDING 1 Parmar pptx
CAULIFLOWER BREEDING 1 Parmar pptxCAULIFLOWER BREEDING 1 Parmar pptx
CAULIFLOWER BREEDING 1 Parmar pptx
 
How to Add a New Field in Existing Kanban View in Odoo 17
How to Add a New Field in Existing Kanban View in Odoo 17How to Add a New Field in Existing Kanban View in Odoo 17
How to Add a New Field in Existing Kanban View in Odoo 17
 
How to Add a many2many Relational Field in Odoo 17
How to Add a many2many Relational Field in Odoo 17How to Add a many2many Relational Field in Odoo 17
How to Add a many2many Relational Field in Odoo 17
 
3.19.24 Urban Uprisings and the Chicago Freedom Movement.pptx
3.19.24 Urban Uprisings and the Chicago Freedom Movement.pptx3.19.24 Urban Uprisings and the Chicago Freedom Movement.pptx
3.19.24 Urban Uprisings and the Chicago Freedom Movement.pptx
 
How to Show Error_Warning Messages in Odoo 17
How to Show Error_Warning Messages in Odoo 17How to Show Error_Warning Messages in Odoo 17
How to Show Error_Warning Messages in Odoo 17
 
What is the Future of QuickBooks DeskTop?
What is the Future of QuickBooks DeskTop?What is the Future of QuickBooks DeskTop?
What is the Future of QuickBooks DeskTop?
 
Benefits & Challenges of Inclusive Education
Benefits & Challenges of Inclusive EducationBenefits & Challenges of Inclusive Education
Benefits & Challenges of Inclusive Education
 
Education and training program in the hospital APR.pptx
Education and training program in the hospital APR.pptxEducation and training program in the hospital APR.pptx
Education and training program in the hospital APR.pptx
 
CapTechU Doctoral Presentation -March 2024 slides.pptx
CapTechU Doctoral Presentation -March 2024 slides.pptxCapTechU Doctoral Presentation -March 2024 slides.pptx
CapTechU Doctoral Presentation -March 2024 slides.pptx
 

DMI Workshop. Data visualization: Clouding

  • 1. data visualization: clouding anne helmond & sabine niederer doing digital methods, rmes workshop, 28 june 2011
  • 2. data visualization the science of visual representation of “data”, defined as information which has been abstracted in some schematic form, including attributes or variables for the units of information. (2009:1) michael friendly
  • 3. data visualization 1482: ptolemy's world map
  • 4. data visualization 1611: scheiner's “tres epistolae”
  • 5. data visualization 1782: de fourcroy “tableau poleometrique”
  • 6. data visualization 1805: playfair
  • 7. data visualization 1836: parent-duchatelet
  • 8. data visualization 1837: harness
  • 9. data visualization 1869: minard
  • 10. data visualization 1873: loua’s scalogram
  • 11. data visualization 1991: schneiderman
  • 12. direct visualization data is reorganized into a new visual representation that preserves its original form manovich 2010
  • 13. data visualization a weighted list 1992
  • 14. history of the tag cloud 1995
  • 15. history of the tag cloud 1997-2003
  • 16. history of the tag cloud 2004
  • 17. tag cloud de nition A tag cloud (word cloud, or weighted list in visual design) is a visual representation for text data, typically used to depict keyword metadata (tags) on websites, or to visualize free form text. wikipedia
  • 18. tag In online computer systems terminology, a tag is a non-hierarchical keyword or term assigned to a piece of information (such as an internet bookmark, digital image, or computer le). This kind of metadata helps describe an item and allows it to be found again by browsing or searching. Tags are chosen informally and personally by the item's creator or by its viewer, depending on the system. wikipedia
  • 19. tagging Tagging systems enable users to add keywords (i.e., “tags”) to Internet resources (e.g., web pages, images, videos) without relying on a controlled vocabulary. [...] a freely chosen set of keywords (“tags”). marlow et al 2006
  • 20. folksonomy A folksonomy is a system of classi cation derived from the practice and method of collaboratively creating and managing tags to annotate and categorize content; this practice is also known as collaborative tagging, social classi cation, social indexing, and social tagging. (Wikipedia) Folksonomy is the result of personal free tagging of information and objects (anything with a URL) for one's own retrieval. The tagging is done in a social environment (usually shared and open to others). Folksonomy is created from the act of tagging by the person consuming the information. (Vander Wal 2007)
  • 21. types of tag clouds
  • 22. types of tag clouds content
  • 23. types of tag clouds ordered
  • 24. types of tag clouds un-ordered
  • 25. types of tag clouds centered
  • 26. ontological classi cation Domain to be Organized √ Domain to be Organized X • Small corpus • Large corpus • Formal categories • No formal categories • Stable entities • Unstable entities • Restricted entities • Unrestricted entities • Clear edges • No clear edges Participants Participants • Expert catalogers • Uncoordinated users • Auth. source of judgment • Amateur users • Coordinated users • Naive catalogers • Expert users • No Authority shirky 2005
  • 27. tagging critiques messy amateur spammy non-human metadata
  • 28. tag-elese simons 2008
  • 29. messy
  • 30. fauxonomy “metadata added with the conscious intent to confuse or obfuscate,” or to weight them for spammish reasons. (Jamais Cascio) cascio 2007
  • 32. extracting value from big data The strategy of tagging -- free-form labeling, without regard to categorical constraints -- seems like a recipe for disaster, but as the Web has shown us, you can extract a surprising amount of value from big messy data sets. shirky 2005
  • 34. tag exercise 1 Compare privacy policies: Twitter and Facebook 1. Look up privacy policies 2. Copy/paste all text into Wordle 3. Adjust visualizations in Wordle for readability 4. Compare visualizations
  • 35. tag exercise 1 advanced Compare privacy policies: Twitter and Facebook 1. Look up privacy policies 2. Copy/paste all text into Tagxedo 3. Adjust visualizations in Tagxedo for readability 4. Exclude terms (which ones?) 5. Compare visualizations
  • 36. clouding current events #glastonbury 27 june 2011
  • 37. tag exercise 2 Clouding a current event: Glastonbury 1. Scrape top 1000 tweets for #Glastonbury using the Twitterscraper 2. Open le in Excel/OpenOffice 3. Copy/paste text column in Tagxedo 4. Exclude terms (which ones?) 5. Compare visualizations
  • 38. tag exercise 2 advanced Clouding a current event: Glastonbury on Twitter and in Google News 1. Use previous instructions for Twitter 2. Enter keyword Glastonbury in Tagxedo 3. Adjust visualizations in Tagxedo for readability 4. Exclude same terms as Twitter 5. Compare visualizations
  • 39. sources Images http://web.archive.org/web/20040607054247/http://www.flickr.com/photos/tags/ http://web.archive.org/web/20041204231120/http://twiki.tensegrity.net/bin/view/Main/SearchReferralZeitgeist http://web.archive.org/web/20041122035256/http://twinkler.43things.com/twinkler/ http://www.librarything.com/blogs/thingology/2007/07/fauxonomy/ Artist featured in photos: Tomas Saraceno Services http://www.tagxedo.com http://www.wordle.net Articles Friendly, Michael (2009). “Milestones in the history of thematic cartography, statistical graphics, and data visualization.” PDF Marlow, Cameron, Mor Naaman, danah boyd and Marc Davis (2006). "HT06, Tagging Paper, Taxonomy, Flickr, Academic Article, ToRead." Proceedings of Hypertext 2006, New York: ACM Press. Shirky, Clay (2005). “Ontology is Overrated: Categories, Links, and Tags.” Stevenson, Michael. “Getting things done? Tagging, del.icio.us and procrastination.” http://whateverbutton.com/blog/ index.php/getting-things-done-tagging-delicious-and-procrastination/
  • 40. anne@digitalmethods.net sabine@digitalmethods.net kthxbai! www.digitalmethods.net artist: tomas saraceno