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Title:
Primerjava Pythonovih knjižnic za spletno vizualizacijo podatkov : diplomsko delo
Authors:
ID
Štraus, Žiga
(
Author
)
ID
Podgorelec, Vili
(
Mentor
)
More about this mentor...
Files:
VS_Straus_Ziga_2025.pdf
(3,39 MB)
MD5: 3DC9A1877D5A67C86AF6C21E1607E204
Language:
Slovenian
Work type:
Bachelor thesis/paper
Typology:
2.11 - Undergraduate Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
V diplomskem delu obravnavamo uporabo Pythonovih knjižnic za vizualizacijo podatkov s poudarkom na interaktivnih spletnih prikazih geografskih podatkov. V teoretičnem delu smo predstavili pet izbranih knjižnic ter jih dopolnili s praktičnimi primeri. Na podlagi teh primerov smo izbrali Plotly, Bokeh in Folium. V njih je bila narejena zahtevnejša implementacija interaktivnih spletnih vizualizacij. V praktičnem delu smo uporabili knjižnice na geografskih podatkih ter jih primerjali med seboj. Na koncu smo izpostavili prednosti in slabosti knjižnic ter podali priporočila za njihovo uporabo.
Keywords:
Python
,
primerjava
,
Bokeh
,
Polium
,
Plotly
Place of publishing:
Maribor
Place of performance:
Maribor
Publisher:
[Ž. Štraus]
Year of publishing:
2025
Number of pages:
1 spletni vir (1 datoteka PDF (X, 33 str.))
PID:
20.500.12556/DKUM-94762
UDC:
004.6:004.774(043.2)
COBISS.SI-ID:
256012803
Publication date in DKUM:
22.09.2025
Views:
232
Downloads:
52
Metadata:
Categories:
KTFMB - FERI
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Licences
License:
CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:
The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:
26.08.2025
Secondary language
Language:
English
Title:
Comparison of Python libraries for online data visualization
Abstract:
In this thesis we address the use of Python libraries for data visualization with a focus on interactive web-based representations of geographic data. In the theoretical part, five selected libraries are presented and supplemented with practical examples. Based on these examples, Plotly, Bokeh, and Folium were chosen. In these libraries, a more complex implementation of interactive web visualizations was carried out. In the practical part, the libraries were applied to geographic data and compared with each other. Finally, the advantages and disadvantages of the libraries were highlighted and recommendations for their use were provided.
Keywords:
Python
,
comparison
,
Bokeh
,
Folium
,
Plotly
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