m259 visualizing information - uc santa barbarag.legrady/academic/courses/13w... · 2013. 1....
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
M259 Visualizing Information Elings 2611 Tues-Thurs 12:00-1:50pm
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
M259 Visualizing Information George Legrady, Instructor Yoon Chung Han, Teaching Assistant Special Presentations: Qian Liu, Data Visualization consultant Karl Yerkes, Knowledge Discovery consultant
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Course Focus “Visualizations Give Meaning to Information” § A practice-based course includes lectures,
some research and visualization proejcts § Promote an experimental approach § Goals:
§ Advance graphical skills in translating abstract data into visualization
§ Finetune skills in data search, algorithmic data processing, and visual language syntax.
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Course Format TUES: Lectures, visualization analysis THUR: Technical lab BLOG: Post your concepts, sketches, share algorithms, visualization techniques. Also faculty and TA feedback WEBSITE: Course syllabus, references, and project results Student project presentations may be on Tues or Thurs
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Meaning in Data is Through Representation Data is neutral but representation is a cultural process. It is how you represent data that creates meaning!
§ The focus of the course is learning how to work with visual language.
§ To make this happen in our very short time we will all use the same dataset.
§ You will be able to take the knowledge picked up through the use of the course dataset and apply it afterwards to your own specific data and needs.
§ Using the same dataset will allow us to 1) use existing modules developed in earlier courses, 2) compare results and learn from each other
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
TreeMap: SmartMoney (Schneiderman/Wattenberg)
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Frequency Maps Can Tell a Story (catalogtree)
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Meaning in Data is Through Representation Data is neutral but representation is a cultural process. It is how you represent data that creates meaning!
§ The focus of the course is learning how to work with visual language.
§ To make this happen in our very short time we will all use the same dataset.
§ You will be able to take the knowledge picked up through the use of the course dataset and apply it afterwards to your own specific data and needs.
§ Using the same dataset will allow us to 1) use existing modules developed in earlier courses, 2) compare results and learn from each other
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Frequency Map: What is Involved? § Select
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Skills you will acquire Knowledge Discovery through Data Search: Exploration of data searching for interesting results (MySQL)
Data Formulation: Data processing and algorithmic implementation for innovating data results (what patterns will emerge)
Data Visualization: Java-based programming (Processing)
Visual Language: How form, color, space, timing, movement, etc. impact on content (this is the primary goal of the course)
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Your Contribution Data is not content. What you do with it is the content! § You choose what to feature from the dataset
based on your interests § You introduce data processing methods § You select algorithms to implement § You make design decisions § You determine “look and feel” which
becomes the content
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Charles Joseph Minard (1781-1870) § French civil engineer and pioneer in the field
of information graphics
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Integrate Your Expertise CS: Integrate complex algorithms to visualization
Statistics: Implement statistical probability problems to data analysis and visualization
Sound/Signal processing: Consider data as signal and explore translation between sonic, signal and visual patterns
Cinematic/Literary: Explore data pattern as narrative development
Social Science: Identify cultural patterns, changes, transformations
Geography: Explore spatial mapping
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
DNA Sequential Map
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Transforming Data: Cultural Strategies Room I-405 Mondays 3:00-5:50pm http://www.mat.ucsb.edu/~g.legrady/academic/courses/11fns/index.html
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
An Interdisciplinary Process Expertise Differentations: § Analytical: theoretical, cultural, information
research (social scientist) § Technical: Statistical aggregation and
computational processes (engineer, scientific)
§ Aesthetic: Visual design, expression (artist, designer, architect)
Course focus: Integrated approach
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Break– Questions?
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Course Metadata Metadata is data that describes data § Examples:
§ Personal Statistics: Your name, age, gender, height, soc sec number, etc.
§ Dewey Decimal System (DDC): To organize books according to subject
§ EXIF (Exchangeable image file format): Standard that specifies the format for images, sound, in digital devices: Type of camera, date/time, compression, image resolution, exposure program, focus, metering, flash, colorspace,
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Linear Time Graphs
Winter 2006 George Legrady 19
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Course Metadata Format § Data Source: Patrons check out books, cds,
dvds from the Seattle Public Library § Appx 30000 per day; 10 million annual; 70
million datasets since September 2005 § Data is multivariate. Each transaction
includes numeric, ordinal, interval scale (time, date), string, and other classification data.
§ Include: ItemType (bks, cds); Collection date; Check-out/check-in hour/day; Title; Dewey Classification, Keywords, etc.
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Course Schedule Wk1: Introduction and software setup
Wk2,3: Data Query, data analysis (MySQL)
Wk4: 1D Linear Frequency project (Processing)
Wk5,6: 2D Spatial Mapping
Wk7: Correlating 2 datasets
Wk8,9: 3D Interactive visualization
Wk10: Finalize Project(s)
Wk11: Presentation
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
COURSES
• Solidified the MAT Experimental Visualization Lab
• 5 Academic CourseLoad: Art(2), MAT(3) in addition to sponsored research
• Art 130: Digital Visual Culture: Theory/history of optical cameras (from camera obscura to the electro magnetic spectrum)
• Art 102: Conceptual Art of Photoshop (Explore noise, destruction of the image, etc. The scientific origins of Photoshop as a tool for image processing
• M254: Research Project-based (replaced M200a since 2011)
• M259: Data Visualization (since 2006-) student work
• M594: Computers & Photography Project-based
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Wk1-3: Data Query, Knowledge Discovery, MySQL Question: How has the popularity of JD Salinger’s book "Catcher in the Rye" or the lead character "Holden Caulfield" changed during the period 2005 to 2011, separated by year.
Process: A simple single query visualization. Minimal design, and use of color to fully utilize available space.
Query: select year(ckoutDateTime) as year,count(*) from trans_2005_thru_2011 where year(ckoutDateTime)>2004 AND (title like "%the catcher in the rye%" OR title like "%Holden Caulfield%") group by year order by year;
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Wk4: 1D linear Frequency Project Explores how to map patterns and data relationships
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Karl Yerkes: DataMining Tsunami 2011 § Visual Display of Quantitative Information,
Edward Tufte
§ Beautiful Visualization,
§ Visualizing Data, Ben Fry
§ Robert Kosara
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Data Analysis Directions • Statistical • Narrative • Visual Explorations
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Wk5,6: Spatial Mapping Explores how to map data in a 2D space where Horizontal, Vertical, and color or size relationship at specific locations can have meaning
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Data Analysis Directions • Statistical • Narrative • Visual Explorations
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Linear Relational
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Wk7: Correlate Data with an External Source Explores how to correlate the Seattle data with another
§ NY Times
§ Amazon
§ Itunes
§ Etc.
Also introduce interactivity
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Wk8,9: 3D Interactive Explores how to map data in
§ 3D space
§ Introduce interactivity
§ And time
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Project Development Process
§ Data search: Knowledge discovery
§ Data analysis: What patterns emerge
§ Data formulation through algorithmic processing
§ Translation into visualization
§ Iterative process < > feedback until results are as needed
§ Publication
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Breadth of Visualization: From Pragmatic to Poetic
§ Vis. requires dual approaches: § Computation is utilitarian and
visualization requires aesthetic skillsets
§ Experience in both give best results § Both require extensive practice
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
What Do We Represent? (AJ Ayer’s Propositions)
§ Synthetic: We synthesize some knowledge about the world
§ Subjective: We make a statement that is evaluative, and expressive of a feeling (but not about the world)
§ Syntactic: We test the communication process, re-affirm that communication is proceeding as planned. We explore the syntax of the language
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Software § MySQL (the database)
§ MySQL Workbench (access to data)
§ Processing (Java-based scripting language)
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
Some References § Atlas of Science, Katy Borner
§ Graphics of Large Datasets, Unwin, Theus, Hofmann
§ Visualizing Data, Ben Fry
§ Robert Kosara, social analysis
§ Visual Display of Quantitative Information, Edward Tufte (historical representation)
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Media Arts and Technology!Graduate Program!UC Santa Barbara
M259 Visualizing Information George Legrady 2013 Winter
End