20101013 AHO Infoviz, Self-Ethnography
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20101013 Marius Watz - aHO interactiOn design
InformatIon vIsualIzatIon, self-ethnography and you
an introduction to information Visualization, including a (very) brief history, recent trends and the notion of data Literacy.
Practical application: self-etnography, also known as personal data logging. easily available tools, relevant existing projects and suggested practices.
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InformatIon vIsualIzatIon
» the practice of interpreting data and presenting it visually in ways that bring to light patterns of information, so as to enable the discovery of knowledge.
» Visualization is often seen as a way of convincing an audience. But is also a powerful for discovering new knowledge.
» the aim of visualization is to reveal (Manuel Lima)
InformatIon vIsualIzatIon
» History: Maps are as old as written culture. infoviz as we know it dates back to late 1700s.
» almost all common chart types were pioneered before 1810
» early heroes: William Playfair, charles Minard, florence nightingale
Willam Playfair statistical Breviary (1801)
generally considered the first pie chart
Willam Playfair trade balance, england and denmark / norway
florence nightingale, 1858 causes of mortality in the army
charles Minard, 1869chart of napoleon’s disastrous march on Moscow
simultaneous display of multiple variables (location, troops, temperature)
Computers & vIsualIzatIon
» a computer = a machine that computes. computers are number crunchers, perfect tools for visualizing data.
» Modern visualizations deals with huge data sets: - Mri scans - internet topology - Human genomes - social network interactions
Visible Human Project, 19943d data set of the human body
Male: 1 mm slices, 15 gB data female: 0.33 mm slices, 40 gB data
Bill cheswick, June 1999Map of the internet, by iP addresses
new ConCepts
» computational design applies computational solutions to design tasks.
» designers working with code are coming up with new ways of looking at data.
» Visualization realized as software processes allows for new types of visualization. instead of static diagrams, visualizations become interactive interfaces.
Moritz stefaner: Map Your MovesWhere new Yorkers move to/from and why
>Link
smartMoney.com: Map of the Market treemap of the us stockmarket
>Link
smartMoney.com: Map of the Market sept 29, 2008: us bailout plan rejected by congress
>Via Burak arikan
Manuel Lima: Visual complexityindex of visualization projects
>Link
tellIng storIes wIth data
» the best visualizations tell stories.
» How can data be transformed into knowledge?
» How can you ask interesting questions and answer them through data?
david Mccandlessinformationisbeautiful.com
>Link
david Mccandlessinformationisbeautiful.com
>Link
blog.okcupid.comstatistics from online dating
>Link
self-ethnography
» Wikipedia: ethnography (greek ethnos = folk/people, graphia = writing) research strategy often used in the social sciences [..] it is often employed for gathering empirical data on human societies/cultures. data collection is often done through participant observation, interviews, questionnaires, etc. ethnography aims to describe the nature of those who are studied [..]
20101013 Marius Watz - aHO interactiOn design
InformatIon vIsualIzatIon, self-ethnography and you
» suggestions for possible data sources
» types of data
» challenges in completing task
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Data suggestions
Personal consumption
Shopping
Food / drink
Media (books, newspapers, movies, TV)
Social interactions
Friends / family
Social networks
Social media activity
Emotion
Happiness
Stress level
Location
FourSquare / Places
GPS traces
Work / productivity
Hours worked
Types of labor
Idea log
Log of ideas w/ time and keywords
Mindmaps
Data suggestions.mmap - 15.09.2010 - Mindjet
Data types
Quantitative measurements(easily visualized)
Hours worked / day
Cups of coffee / day
Time seriesHappiness level every hour
Heart rate every hour
Location
GPS coordinate / trace
Place name
Sketches (not so easy)
Time / place drawn
Category
Text (not so easy)
Time / place written
Category
Main Topic
Data types.mmap - 13.09.2010 - Mindjet
Challenges
Limited time of exercise
Find realistic topic
Data must be collectable
Accuracy of data
Consider your methods
Keep consistent logs
Analysing data to produce meaning
Tell a story
Ask yourself good questions
Look for existing methodology
Data collection
Daytum.com
your.flowingdata.com
RescueTime
Spreadsheet (Excel or similar)
Physical notes that are later digitized
Media scrobbling: Last.fm
Challenges.mmap - 15.09.2010 - Mindjet
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