VIKMB37 Data Visualization

Faculty of Arts
Autumn 2015
Extent and Intensity
0/2. 4 credit(s). Type of Completion: k (colloquium).
Teacher(s)
Mgr. Jan Boček (lecturer)
Mgr. Tomáš Marek, Ph.D. (lecturer)
Mgr. Jan Pospíšil (lecturer)
Mgr. Matěj Málek (lecturer)
Mgr. Jan Martinek (assistant)
Guaranteed by
PhDr. Petr Škyřík, Ph.D.
Division of Information and Library Studies – Department of Czech Literature – Faculty of Arts
Contact Person: Mgr. Alžběta Šašinková, Ph.D.
Supplier department: Division of Information and Library Studies – Department of Czech Literature – Faculty of Arts
Timetable
Wed 10:50–12:25 Zahraniční oddělení
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20
fields of study / plans the course is directly associated with
Course objectives
Student will be able to: design effective and meaningful visualization, acquire and prepare the data and use basic tools to visualize them, evaluate and discuss a graphical representation of the data in terms of their effectiveness in different contexts. IOn the theoretical level students will be familiar with: the basis of visual perception, design and aesthetics in visualization.
Syllabus
  • 1. Introduction to the course • introduction to data visualization • basic terminology 2. Visualization history • dataviz essential milestones 3. Visualization and manipulation • examples of good and bad practice • dataviz tricks and manipulation 4. Visual perception • principles of perception • application of these principles to data visualization • color, design, etc. 5. The effectiveness of data visualization • basic principles of effective visualization • effective basic types of statistical graphs • dataviz and storytelling 6. Data journalism • storytelling • process of data journalism • getting, processing and visualizing the data 7. Getting the data • freely available data • freedom of information act • scraping • open data 8. Data visualization tools • static charts • simple interactive charts • fully interactive visualizations 9. Data interpretation issues • public contracts • demography • economic data • health data 10. Maps 1 • map projections • geodata • when not to use map visualization 11. Maps 2 • map visualization tools 12. Graphs • graphs use • data sources • graphs creation tools
Literature
    recommended literature
  • Scott Murray. Interactive Data Visualization for the Web. O’Reilly Media, c2013. ISBN: 978-1-449-33973-9
  • CAIRO, Alberto. The functional art: an introduction to information graphics and visualization. San Francisco: Peachpit Press, 2012, 363 pages. ISBN 03-218-3473-9
  • MONMONIER, Mark S. How to lie with maps. 2nd ed. Chicago: University of Chicago Press, c1996, xiii, 207 p. ISBN 02-265-3421-9
  • WONG, Dona M. The Wall Street journal guide to information graphics: the dos and don'ts of presenting data, facts, and figures. 1st ed. New York: W.W. Norton, c2010, 157 p. ISBN 03-930-7295-9.
  • Paul Bradshaw. Scraping for Journalists. Leanpub, c2013.
  • YAU, Nathan. Visualize this: the FlowingData guide to design, visualization, and statistics. Indianapolis, Ind.: Wiley Pub., c2011, xxvi, 358 p. ISBN 11-181-4025-7
  • FEW, Stephen. Now you see it: simple visualization techniques for quantitative analysis. Oakland: Analytics Press, c2009, xi, 327 s. ISBN 978-097-0601-988.
  • Jeffrey Stanton. An Introduction to Data Science. Syracuse University, c2012.
  • Fond Otakara Motejla. Příručka datové žurnalistiky. Nadace Open Society Fund Praha, c2013, ISBN 978-80-87725-10-8. Dostupná z www.osf.cz/publikace/prirucka-datove-zurnalistiky
  • Jonathan Gray, Lucy Chambers, Liliana Bounegru. The Data Journalism Handbook. How Journalists Can Use Data to Improve the News. O'Reilly Media, c2012.
  • YAU, Nathan. Data points : visualization that means something. Indianapolis: Wiley, 2013, xiii, 300. ISBN 9781118462195. info
  • TUFTE, Edward R. The visual display of quantitative information. 2nd ed. Cheshire: Graphics Press, 2001, 197 s. ISBN 0-9613921-4-2. info
  • HUFF, Darrell. How to lie with statistics. Illustrated by Irving Geis. New York: Norton, 1993, 142 p. ISBN 0393310728. info
Teaching methods
Seminars, lectures and discussion
Assessment methods
Students hand in weekly homeworks, 10 points for each, summing up to 100 points. They need to complete 60 points.
Language of instruction
Czech
Further Comments
Study Materials
Teacher's information
http://www.dataviz.cz
The course is also listed under the following terms Spring 2014, Autumn 2014, Autumn 2016, Autumn 2017.
  • Enrolment Statistics (Autumn 2015, recent)
  • Permalink: https://is.muni.cz/course/phil/autumn2015/VIKMB37