MVŠO:AAVED Adv. Visual. Of Economic Data - Course Information
AAVED Advanced Visualization of Economic Data
Moravian Business College Olomoucsummer 2022
- Extent and Intensity
- 2/1/0. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- Mgr. Vít Pászto, Ph.D. (lecturer)
Mgr. Vít Pászto, Ph.D. (seminar tutor) - Guaranteed by
- Mgr. Vít Pászto, Ph.D.
Moravian Business College Olomouc
Supplier department: Moravian Business College Olomouc - Timetable
- Thu 9:45–11:15 B2.232, except Thu 3. 3., except Thu 31. 3., except Thu 7. 4., except Thu 14. 4., except Thu 28. 4., except Thu 5. 5., except Thu 12. 5. ; and Fri 11. 3. 8:00–9:30 B2.336, Fri 18. 3. 8:00–11:15 B2.232, Fri 25. 3. 8:00–11:15 B2.231, Wed 13. 4. 13:15–16:30 B2.336, Wed 20. 4. 13:15–16:30 B2.336
- Timetable of Seminar Groups:
- Course Enrolment Limitations
- The course is offered to students of any study field.
- Course objectives
- The aim of the course is to give an overview of principles and possibilities of a proper visualization of economical data. Students will adopt basics of data management, editing, and visualization in various software tools (both online and offline). A special attention is paid to the interpretation of visualized data. Students will be able to prepare and modify data for consequent advanced visualizations for different users. Students will be capable of handling several tools for the advanced data visualization.
- Syllabus
- 1. Introduction to the advanced data visualization (principles, terminology, methods, graphical outputs)
2. Economic data sources (CZSO, Basic registers in the Czech Republic, statistical data services)
3. Software tools for data management and visualization (online/offline/desktop tools, data formats, data import/export, data editing)
4. Advanced visualization of economic data (graphs, charts, schemes, diagrams)
5. Advanced visualization of economic data (infographics, posters, interactive charts and diagrams)
6. Geovisualization of economic data (mapping applications, online tools, desktop tools, merging data, basic cartographic rules)
- 1. Introduction to the advanced data visualization (principles, terminology, methods, graphical outputs)
- Literature
- required literature
- MYSLIVEC, J. Vizualizace vícerozměrných dat. Pardubice: Univerzita pardubice, Fakulta filozof, 2012. ISBN 978-80-7395-445-1. info
- VOŽENÍLEK, V. a kol. Metody tematické kartografie: vizualizace prostorových jevů. Olomouc: Univerzita Palackého, 2011. ISBN 978-80-244-2790-4. info
- YAU, N. Visualize This: The FlowingData Guide to Design, Visualization and Statistics. Wiley, 2011. ISBN 978-0470944882. info
- recommended literature
- POULIN, R. Jazyk grafického designu: ilustrovaná příručka vysvětlující hlavní principy designu. Praha: Slovart, 2012. ISBN 978-80-7391-552-0. info
- KUBA, Z., UJEC, J. Ekonomie v grafech a v schématech. II. Makroekonomie. Ostrava: Vysoká škola podnikání, 2009. ISBN 978-80-7410-011-6. info
- Assessment methods
- To fulfil the course requirements, students have to create an advanced data visualization based on an assigned topic using the tools discussed during the course, and correspondence the content of which is monitored by the teacher. Specific topics and the extent will be determined by the teacher. A test based on theory will be a part of the course requirements.
- Language of instruction
- English
- Further Comments
- Study Materials
The course can also be completed outside the examination period.
The course is taught annually.
- Enrolment Statistics (summer 2022, recent)
- Permalink: https://is.mvso.cz/course/mvso/leto2022/AAVED