diplomsko delo
Miha Brenkuš (Author), Ljupčo Todorovski (Mentor)

Abstract

Živimo v času, ko igrajo podatki in analize le-teh pomembno vlogo v številnih dejavnostih, kot je trgovanje, saj nam podatki npr. povedo, katera storitev je na svetovnem trgu najbolj iskana ali potrebovana, kateri trendi se spreminjajo ter kaj lahko pričakujemo v bližnji prihodnosti. Podatki so objavljeni na spletu ali pa so dostopni v raznih digitalnih oblikah. Problem pa nastane, ko imamo ogromno količino podatkov, brez analiz le-teh, analize podatkov pa niso enostavne in so časovno zahtevne. Za diplomsko delo sem se odločil izdelati spletno aplikacijo, ki bo iz spletne platforme parlameter.si pridobila podatke o govorih politikov in ponudila enostavno analizo in vizualizacijo podatkov glede na stranke, katerim pripadajo posamezni politiki. Za razvoj predvidene spletne aplikacije sem uporabil programski jezik Python, saj je enostaven za uporabo in omogoča hiter razvoj v primerjavi z drugimi jeziki, tudi zaradi številnih knjižnic uporabnih programskih rešitev. Python je prav tako primeren za delo s podatkovnimi bazami, z uporabo knjižnice Python Dash pa poskrbim za razvoj spletnega uporabniškega vmesnika. Python Dash je namreč preprosta knjižnica za gradnjo spletnih vmesnikov za vizualizacijo podatkov. Sloni na kombinaciji podatkov, ki jih posredujemo (Dash components), vizualizaciji podatkov (Plotly graphs) in povezavi med tema dvema komponentama (Callback). Za bazo podatkov sem uporabil SQLite, saj pisanje in iskanje podatkov v bazi poteka zelo hitro glede na podatke, ki sem jih pridobil iz spletne strani v formatu JSON. Spletni vmesnik je enostavna spletna stran s komponentami v označevalnem jeziku HTML, ki je omogočila filtriranje podatkov, da sem prišel do želenega rezultata v obliki grafa in statistike poleg grafa. Za oblikovanje izgleda spletne aplikacije sem uporabil prekrivne sloge (Cascading Style Sheets, CSS).

Keywords

baza podatkov;spletna aplikacija;analiza podatkov;vizualizacija podatkov;avtomatizirana analiza podatkov;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UL FMF - Faculty of Mathematics and Physics
Publisher: [M. Brenkuš]
UDC: 004.42(043.2)
COBISS: 151467523 Link will open in a new window
Views: 59
Downloads: 29
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: English
Secondary title: Automated analysis of data available at the web platform Parlameter.si
Secondary abstract: We live in a time where data and data analysis are more and more activities such as trading, as data tells us a lot, e.g., which service is the most sought after or needed on the market, which trends are changing, or short-term predictions. The data is usually published online or in various digital formats. However, when we have access to vast amounts of data, the problem of their analysis arises. For my diploma work, I decided to create a web application to obtain data on politicians' speeches from the online platform parlameter.si and offer various means of analysis and visualizations of fetched data, considering the political affiliations of the individuals. I developed the planned web application using the Python programming language. It is easy to use and enables fast development compared to other languages, also due to the many libraries of helpful software solutions. Python is also suitable for working with databases. I use the Python Dash library to build an online user interface for data analysis and visualization. It relies on a combination of the data we provide (Dash components), plotting data (Plotly graphs), and the connection between these two components (Callback). I use SQLite for building the database, as writing and searching for data in the database is very fast based on the data I will obtain from the website in the “.json” format. The developed web page with components in HTML markup language allows us to filter the data necessary for analysis and visualization. I will use Cascading Style Sheets (CSS) to design the look of the components of the web application.
Secondary keywords: database;web application;data analysis;data visualization;automatic data analysis;
Type (COBISS): Bachelor thesis/paper
Study programme: 1000469
Embargo end date (OpenAIRE): 1970-01-01
Thesis comment: Univ. v Ljubljani, Fak. za upravo
Pages: IX, 30 str.
ID: 18700862