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Vizualizacija imen novorojenčkov v povezavi s podatki iz baze IMDb in Wikipedije
ID KOBENTAR, ALEKS (Author), ID Kavčič, Alenka (Mentor) More about this mentor... This link opens in a new window, ID Pesek, Matevž (Comentor)

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Abstract
Diplomska naloga opisuje postopek pridobivanja in prikaza podatkov iz različnih virov. Vir podatkov predstavljajo tri podatkovne zbirke. S Statističnega urada Republike Slovenije so podatki o številu imen novorojenčkov od leta 1992 do 2017. IMDb-podatkovna zbirka nudi podatke o igralcih in filmih. Zadnji vir podatkov je spletna enciklopedija Wikipedija, ki nudi zanimive podatke o podrobnostih imen. Združitev vseh podatkov zahteva uporabo različnih orodij. Za uvoz podatkov je uporabljen programski jezik Python. Za hranjenje podatkov o številu imen novorojenčkov je uporabljena nerelacijska podatkovna zbirka Elasticsearch. Za potrebe vizualizacije podatkov, ki so shranjeni na spletnih straneh ali v lokalni podatkovni zbirki, so implementirani strežniki s programskima jezikoma Python in Node.js. Poleg osnovnih spletnih orodij sta JavaScript in knjižnica D3.js uporabljena kot glavno orodje za prikaz podatkov.

Language:Slovenian
Keywords:Spletni strežnik, podatkovna zbirka, vir podatkov, vizualizacija, imena otrok.
Work type:Bachelor thesis/paper
Organization:FRI - Faculty of Computer and Information Science
Year:2019
PID:20.500.12556/RUL-107347 This link opens in a new window
Publication date in RUL:02.04.2019
Views:1050
Downloads:278
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Secondary language

Language:English
Title:Visualization of baby names combined with IMDb and Wikipedia data
Abstract:
This Bachelor’s Thesis describes the process of collecting and visualizing data from different sources. There are three different data sources. The first source is from the Statistical office of Slovenia where there is data about the number of baby names occurring from 1992 to 2017. The second sourse is the IMDb database, which has data about actors and movies. The third data source is the free Wikipedia encyclopedia , which holds interesting data about names. To be able to merge all the datasources requires a great range of frameworks. For importing the data, the programming language Python is used. For data storage about the number of babynames, the unrelation database Elasticsearch is used. For the exchange of data which is stored on the inter- net or on local machine servers, either Python or Node.js. are implemented. In addition, the basic web technologies JavaScript and D3.js are the main tools for data visualization.

Keywords:Web server, database, source of data, visualization, baby names.

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