Information
- Publication Type: Bachelor Thesis
- Workgroup(s)/Project(s):
- Date: April 2018
- Date (Start): May 2017
- Date (End): April 2018
- Matrikelnummer: 1425788
- First Supervisor: Manuela Waldner
Abstract
Companies and traders working in the commodity market encounter a variety of different data sets, including numerous economic indicators. The analysis of those indicators and their connection to certain markets can lead to important insights. The understanding of the market can be improved and predictions of the future market development can be created. However, dozens of economic indicators exist and one of the main challenges is to show a clear overview of the indicators and identify those, which show a correlation to a certain market. Software tools are often utilised in order to perform the analysis of financial markets. However, according to domain experts, they often hit the limit of human perception capabilities. This thesis focuses on the development of a prototypical web application dashboard, which enables the user to analyse the relation between a defined commodity market and different economic indicators. Besides the relation between one indicator and a given market, the possibility to interactively create one’s own composite indicator, for comparison with the given market, is implemented. The process of creating a composite indicator is another challenge as it requires numerous decisions to be made. The dashboard therefore offers a platform for exploring the different composite indicator configurations. Moreover, the web-application provides also some visualization and interaction techniques, like highlighting, brushing and details-on-demand to enhance the comparison process and amplify human cognition.Additional Files and Images
Weblinks
No further information available.BibTeX
@bachelorsthesis{cizmic-2018-evd,
title = "Exploratory Data Visualization Dashboard for Technical
Analysis of Commodity Market Indicators",
author = "Dea Cizmic",
year = "2018",
abstract = "Companies and traders working in the commodity market
encounter a variety of different data sets, including
numerous economic indicators. The analysis of those
indicators and their connection to certain markets can lead
to important insights. The understanding of the market can
be improved and predictions of the future market development
can be created. However, dozens of economic indicators exist
and one of the main challenges is to show a clear overview
of the indicators and identify those, which show a
correlation to a certain market. Software tools are often
utilised in order to perform the analysis of financial
markets. However, according to domain experts, they often
hit the limit of human perception capabilities. This thesis
focuses on the development of a prototypical web application
dashboard, which enables the user to analyse the relation
between a defined commodity market and different economic
indicators. Besides the relation between one indicator and a
given market, the possibility to interactively create
one’s own composite indicator, for comparison with the
given market, is implemented. The process of creating a
composite indicator is another challenge as it requires
numerous decisions to be made. The dashboard therefore
offers a platform for exploring the different composite
indicator configurations. Moreover, the web-application
provides also some visualization and interaction techniques,
like highlighting, brushing and details-on-demand to enhance
the comparison process and amplify human cognition.",
month = apr,
address = "Favoritenstrasse 9-11/E193-02, A-1040 Vienna, Austria",
school = "Institute of Computer Graphics and Algorithms, Vienna
University of Technology ",
URL = "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/",
}