XASEC Sources of Economic Data

Moravská vysoká škola Olomouc
zima 2024

Předmět se v období zima 2024 nevypisuje.

Rozsah
0/1/0. 2 kr. Ukončení: z.
Vyučující
Dr. Miroslava Čechová Závadská, BSc., MSc. (cvičící)
Mgr. Vít Pászto, Ph.D. (cvičící)
Garance
Mgr. Vít Pászto, Ph.D.
Moravská vysoká škola Olomouc
Dodavatelské pracoviště: Moravská vysoká škola Olomouc
Omezení zápisu do předmětu
Předmět je otevřen studentům libovolného oboru.
Cíle předmětu
The course focuses on the practical use of freely available economic data from Czech and foreign sources. The student gains an overview of the availability of data sets in the field of economics, demography, geography, sociology and other relevant fields. Furthermore, the student understands the data providers’ environment and knows how to use their user interface (data selection, filtering, queries, customisation of output). Apart from that, the student is able to work with data on the basic level in the environment of desktop and online tools.
Osnova
  • 1. Introduction to production of information and knowledge based on data
  • 2. Open data concept and data formats
  • 3. Czech Statistical Office I
  • 4. Czech Statistical Office II
  • 5. Data sources of ministries (Ministry of Finance, Ministry of Industry and Trade, Ministry of Labour and Social Affairs, Ministry of Regional Development, Ministry of Agriculture, Ministry of the Environment, etc.)
  • 6. Sectoral and regional data sources in the Czech Republic
  • 7. Eurostat
  • 8. OECD statistics
  • 9. UN data (UNdata, FAOSTAT)
  • 10. WTO statistics
  • 11. Desktop tools for data processing
  • 12. Online tools for data processing
Literatura
    povinná literatura
  • CZECH STATISTICAL OFFICE. Statistical Yearbook of the Czech Republic – 2019. Praha: Czech Statistical Office, 2019, 831 s. ISBN 978-80-250-2955-8. info
  • EUROSTAT. Eurostat Regional Yearbook. 2019 ed. Luxembourg: European Union, 2019, 221 s. ISBN 978-92-76-03505-3. info
  • UNITED NATIONS. Statistical Yearbook 2017 Edition. 6th ed. New York: United Nations Department of Economic and Social Affairs, Statistics Division, 2017, 510 s. ISBN 978-92-1-061401-6. info
  • KITCHIN, R. The Data Revolution: Big Data, Open Data, Data Infrastructures and Their Consequences. 1st ed. Sage, 2014. ISBN 978-1-4462-8748-4. info
    doporučená literatura
  • PÁSZTO, V. et al. Spationomy: Spatial Exploration of Economic Data and Methods of Interdisciplinary Analytics. 1st ed. Springer, 2020, 325 s. ISBN 978-3-030-26625-7. info
  • WICKHAM, H. Ggplot2: Elegant Graphics for Data Analysis. 2nd. ed. Springer, 2016, 1276 s. ISBN 978-3-319-24277-4. info
    neurčeno
  • Sources of Data of individual providers: Czech Statistical Office, Ministries of Czech Republic, Eurostat, OECD, United Nations, WTO and others.
Metody hodnocení
Seminar assignment (80 % of overall grade), active participation in tutorials (20 % of overall grade).
Vyučovací jazyk
Angličtina
Další komentáře
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