USE OF QGIS AND PYTHON FOR DATA ANALYSIS
DOI:
https://doi.org/10.24867/06DS04NinovicKeywords:
Python, QGIS, correlation analysisAbstract
Python application was used for Gross Domestic Product (GDP) to indicator cooralation calculation. Python application also stored coorelation calculations to CSV files, having data values groped by year. GDP data was loaded in to QGIS from CSV files, which were than shown on Europe map for a span of ten year period. It was concluded that „Rurhal“ and „Urban Population“ have greatest impact on GDP. It was also shown how we can use software in order to analyse big data problems.
References
[1] M. Kovačević, „Osnove programiranja u Pajtonu“, Univerzitet u Beogradu – Građevinski fakultet, Beograd, Akademska misao, Beograd, 2017.
[2] Z. Hercigonja,„Vizualizacija postupaka rješavanja programskih zadataka u programskom jeziku Python“, Imbriovec Jalžabetski 45c, 2017.
[3] Z. Čekerevac, S. Anđelić, S. Glumac, N. Dragović, „Savremene tendencije primene GIS tehnologija“
[4] QGIS (dostupno na: https://qgis.org/en/site/, Pristupano: 18. 08. 2019).
[5] D.Vuković, „Korelaciona analiza indikatora regionalne konkurentnosti: Primer Republike Srbije“, Ekonomski horizont, Godište XV, Univerzitet u Kragujevcu, Ekonomski fakultet, Kragujevac, Sveska 3, pp. 197-211, 2013.
[2] Z. Hercigonja,„Vizualizacija postupaka rješavanja programskih zadataka u programskom jeziku Python“, Imbriovec Jalžabetski 45c, 2017.
[3] Z. Čekerevac, S. Anđelić, S. Glumac, N. Dragović, „Savremene tendencije primene GIS tehnologija“
[4] QGIS (dostupno na: https://qgis.org/en/site/, Pristupano: 18. 08. 2019).
[5] D.Vuković, „Korelaciona analiza indikatora regionalne konkurentnosti: Primer Republike Srbije“, Ekonomski horizont, Godište XV, Univerzitet u Kragujevcu, Ekonomski fakultet, Kragujevac, Sveska 3, pp. 197-211, 2013.
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Published
2020-01-20
Issue
Section
Traffic Engineering
