Eksploracijska analiza podataka

undergraduate thesis

• Title (english): Exploration data analysis
• Author: Matea Dragoš
• Mentor: Tomislav Bolanča (mentor)
• Committee member: Tomislav Bolanča (predsjednik povjerenstva)
• Committee member: Šime Ukić (član povjerenstva)
• Committee member: Juraj Šipušić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Chemical Engineering and Technology; Zagreb
• Defense date and country: 2015-09-18, Croatia
• Scientific / art field, discipline and subdiscipline: NATURAL SCIENCES; Chemistry; Analytic Chemistry

Abstract

Ovaj završni rad obrađuje temu eksploracijska analiza podataka. U prvih nekoliko poglavlja rad se fokusira na definiranje eksploracije, multivarijatne analize podataka, te kombinacija tih dviju analiza. Kombinacijom eksploracijske i multivarijatne analize podataka dobivamo nove mogućnosti za rješavanje složenih znanstvenih procesa. U središnjem poglavlju opisani su napoznatiji modeli multivarijatne analize podataka, među kojima je najpoznatiji model analize glavnih komponenata koji nudi način prikaza podataka u svrhu pronalaženja njihovih sličnosti i različitosti. U posljednjem poglavlju je opisan primjer PCA modela u statističkom programu Statistica.

Abstract (english)

This thesis describes exploratory data analysis. In first few chapters, the thesis focuses on defining term exploration and multivariate data analysis along with the combination of that two analysis. By combinating explorational and multivariate data analysis, we get new features for solving complex science processes. The central chapter describes the most famous models of multivariate data analysis including the famous model of principal component analysis which offers a way to display data for the purpose of finding their similarities and differences. The last chapter describes the example of PCA model using programme Statistica.

• Keywords: eksploracija; PCA; multivarijatna analiza podataka; program Statistica
• Keywords (english): exploration; PCA; multivariate data analysis; programme Statistica
• Language: croatian
• URN:NBN: urn:nbn:hr:149:426194
• Study programme: Title: Applied Chemistry - Undergraduate study; specializations in: Environmental chemistry and green technologies, Advanced materials and technologies, Applied organic chemistry; Course: Environmental chemistry and green technologies; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) primijenjene kemije (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) primijenjene kemije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Repository: Repository of Faculty of Chemical Engineering and Technology University of Zagreb
• Created on: 2016-11-29 17:18:05