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Data Visualization Blender Add-On
Doležal, Zdeněk ; Milet, Tomáš (referee) ; Chlubna, Tomáš (advisor)
With growing interest in visualisation techniques, possibility to extend existing 3D computer graphics software by visualisation tools arises. Thesis deals with theory of data visualisation in general, selection of suitable visualisations, design, creation and publication of an data visualisation add-on for the open-source software Blender. Thanks to this work Blender is extended using its Python API by an interface used for data loading and commonly used charts generation. The published implementation was evaluated by user survey and it is available open-source.
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Game Server Status Monitoring Portal
Skála, Dominik ; Hynek, Jiří (referee) ; Burget, Radek (advisor)
The main goal of this thesis is the development of a game server monitoring application which handles collecting and visualisation of collected data. The thesis compares and looks into existing solutions, their pros and cons. The solution is built upon this observation, specifically the design of the monitoring application and a modern web application with API access. The API is created using the Yii PHP Framework. The user interface is created using the ReactJS JavaScript library. The monitoring application itself is an independent application build in PHP. In the conclusion of the thesis, the evaluation of achieved results and the effectivity of the monitoring application is discussed. Based on the results, other implementations of monitoring applications and other extensions of web application are proposed.
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Data Visualisation Methods in the Statistical Computational Programme R
Hanková, Monika ; Procházka, Jiří (advisor) ; Malá, Ivana (referee)
Visualisation is a key element for analysis in statistics. This thesis describes data visualisation methods in the statistical computational programme R which, thanks to add-on packages, contains several tools for plotting. Data visualisation may be much more complicated than it seems to be, the focus is aimed at the general connection between packages as well as the particular visualisation of base graphics, ggplot2 and lattice package. These packages are built based on the traditional graphical model in R, grammar of graphics and trellis plotting. The interactive shiny app provides an overall view about how the data are visualised by each package.
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A Tool for Sharing and Visualization of Skydiving Records
Madaj, Tomáš ; Kolář, Martin (referee) ; Herout, Adam (advisor)
Purpose of this work is to create a web application which would enable easiest possible 3D visualisation and sharing of uploaded GPS logs. It is intended mainly for aerosports. The application is built on the full-stack JavaScript platform Meteor.js, it features a web user interface and utilizes WebGL library three.js for 3D visualisations in browser. This form allows to achieve intended accessibility and simplicity of usage. The application is a valuable sports performance analysis tool. It brings accurate view of the actual trajectory in the sky where it's otherwise impossible due to the absence of a close visual reference point.
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Data Discovery Tools Comparison
Kopecký, Martin ; Novotný, Ota (advisor) ; Maryška, Miloš (referee)
Diploma thesis focuses on Data Discovery tools, which have been growing in im-portance in the Business Intelligence (BI) field during the last few years. Increasing number of companies of all sizes tend to include them in their BI environments. The main goal of this thesis is to compare QlikView, Tableau and PowerPivot using a defined set of criteria. The comparison is based on development of human resources report, which was modeled on a real life banking sector business case. The main goal is supported by a number of minor goals, namely: analysis of existing comparisons, definition of a new set of criteria, basic description of the compared platforms, and documentation of the case study. The text can be divided into two major parts. The theoretical part describes elemental BI architecture, discusses In-memory databases and data visualisation in context of a BI solution, and analyses existing comparisons of Data Discovery tools and BI platforms in general. Eight different comparisons are analysed in total, including reports of consulting companies and diploma theses. The applied part of the thesis builds upon the previous analysis and defines comparison criteria divided into five groups: Data import, transformation and storage; Data analysis and presentation; Operations criteria; User friendliness and support; Business criteria. The subsequent chapter describes the selected platforms, their brief history, component architecture, available editions and licensing. Case study chapter documents development of the report in each of the platforms and pinpoints their pros and cons. The final chapter applies the defined set of criteria and uses it to compare the selected Data Discovery platforms to fulfil the main goal of this thesis. The results are presented both numerically, utilising the weighted sum model, and verbally. The contribution of the thesis lies in the transparent confrontation of three Data Discovery tools, in the definition of a new set of comparison criteria, and in the documentation of the practical testing. The thesis offers an indirect answer to the question: "Which analytical tool should we use to supplement our existing BI solution?"
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