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Web Interface for a Database of Events
Hanzlík, Tomáš ; Křivka, Zbyněk (referee) ; Burget, Radek (advisor)
This work includes the design and implementation of a web application that serves as an interface between users and data aggregated from social networks. In the web interface, an emphasis is placed on displaying large amounts of data and browsing through filters. It consists of the JavaScript client part written in Vue.js and Nuxt.js and the server part of the Django REST framework that serves as a data source.
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Exploratory Analysis of Big Data in "jmenomesto"
Trampeška, Václav ; Plchot, Oldřich (referee) ; Landini, Federico Nicolás (advisor)
Tato práce se zabývá analýzou databáze online hry Jméno, město. V této hře mají hráči za úkol adekvátně odpovídat na zadané kategorie odpovědmi začínající na zadané písmeno. Práce analyzuje evoluci chování hráčů během existence hry a chování hráčů v různých zemích a kulturách v rámci stejného i jiného jazyka na základě popularity různých odpovědí. Pro zjednodušení vykonávání těchto analýz byla vyvinuta webová aplikace umožňující snadnou kolekci a vizualizaci dat v grafech bez nutnosti znalosti databázové struktury a dotazovacího jazyka. Výsledky navržených analyzačních metod jsou porovnávány s daty služby Google Trends za účelem zjištění podobností mezi daty sledovanými ve hře a internetovým vyhledáváním. Z toho porovnání vyplývá, že navržené metody mohou dávat smysluplné výsledky a databáze tedy může být vhodnou pro vykonávání dalších konkrétně zaměřených analýz. Práce dále, i na základě výsledků analýz, navrhuje změny pro zlepšení hry v rámci hráčského prožitku a výdělečnosti.
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Big Data Processing in Industry 4.0
Trubka, Jakub ; Fajčík, Martin (referee) ; Smrž, Pavel (advisor)
This thesis deals with collecting, processing, and storing big data obtained from monitoring industry machines. The designed and implemented system focuses on extensibility and scalability attributes of the realised solution. The survey part of the text briefly describes existing solutions and discusses collecting and processing big industrial data. A special attention is also paid to the big data storage technology. The crucial part of the thesis then refers to the design and realisation of the system and its individual components, as well as its testing and final evaluation.
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Information and Communication Technology and Brexit Referendum
Šindelka, Dan ; Sedláček, Pavel (referee) ; Froehling, Kenneth (advisor)
Cílem této práce je popsat informační a komunikační technologie, které byly použity během Referenda o členství Spojeného království v Evropské unii 2016. Tato práce také poskytuje popis referend ve Spojeném království, následně jsou popsány informační a komunikační technologie. Účel firmy AggregateIQ v Referendu členství Spojeného království v Evropské unii 2016 je vysvětlen. Je popsána kombinace velkých dat a psychografik, dále je popsána role této kombinace na Referendum o členství Spojeného království v Evropské unii 2016. Kromě toho je ještě diskutován možný následek informačních a komunikačních technologií na pozdější demokratické volby.
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Big Social Data and the Study of Celebrity Fandom
Sedláček, Jakub ; Numerato, Dino (advisor) ; Špaček, Ondřej (referee) ; Mikuláš, Peter (referee)
This thesis provides a novel view of celebrity fandom through the lens of big social data, while at the same time exploring the opportunities and challenges of using digital traces from social media for sociological research. The first chapter provides a sociological framing of celebrity, a short, joint history of celebrity and the media, and a discussion of the revolutionary role that social media and its platforms played in celebrity culture. Finally, it attempts to bridge theories related to celebrity's role in society with research on "lifestyle politics", "polarization", "taste cultures" and "lifestyle enclaves". The second chapter serves as an introduction into big social data and digital trace data. First as a socio-technological phenomenon, then as a research tool. It covers its historical and current availability and discusses its epistemological and practical opportunities, limits and dangers. Finally, it introduces Facebook pagelikes as a valuable source of information on lifestyle politics. Chapter three is an exploration of Facebook digital traces of 90k celebrity followers. It asks whether celebrity preferences are related to differences in various aspects of life, including politics, leisure or cultural consumption. Methodologically, it covers combining data from APIs with web scraping and...
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Big Data and governing climate change: opportunities and challenges
Boháčová, Zuzana ; Střítecký, Vít (advisor) ; Špelda, Petr (referee)
Climate change is one of the most significant global challenges that need to be managed; however, the current governance of climate change is not bearing the desired results. This thesis thus examines the opportunities Big Data-based tools offer for more efficient climate change governance. It provides an overview of the current state of play regarding climate governance and the way climate change is entering the realm of security. The study then introduces the concept of Big Data and, through two case studies, offers specific examples of Big Data applications in the context of climate change. It identifies several categories of Big Climate Data applications i) monitoring behaviour, perceptions and social attitudes, ii) monitoring markets and supply chains, iii) smart buildings, energy and smart cities, and iv) carbon monitoring and monitoring of natural conditions and changes. The thesis also highlights the main critiques and barriers these applications face, which include i) the lack of theoretical and methodological framework, ii) the issues of opacity, accountability, lack of transparency, iii) missing efficient governance system to employ the technology, iv) the complexity of climate and climate data, v) the environmental consequences of AI. It concludes that the trend of public- private...
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High Frequency Price Index of Construction Materials
Štefl, Josef ; Polák, Petr (advisor) ; Čech, František (referee)
The paper explores the possibilities of using big data in economics in an effort to shift research from a study of statistical samples towards basic populations. To this end, the Construction Materials Price Index was created to capture price level movements in this market segment on weekly basis. This specific field was chosen because, despite its signi- ficance, it has not yet been examined in much detail by the Czech Statistical Office. The underlying index data represent the complete offer of the three most significant Czech eshops with building materials, which is periodically obtained through web scraping. The research took place between October 2021 and June 2022. The nine-month evolu- tion of the index reflects the economic recovery after the covid-19 pandemic, but also the sharp market response after the Russian invasion of Ukraine. This bachelor thesis contains a detailed description of the methods used as well as a thorough analysis of the results. JEL classification Keywords Title C43, C55, C80, E31, E37 inflation, high frequency price index, big data, web scraping, construction materials price level High Frequency Price Index of Construction Materials High Frequency Price Index of Construction Materials Josef Štefl
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Data journalism in Czech online media
Jurková, Anna ; Nečas, Vlastimil (advisor) ; Jirků, Jan (referee)
This diploma thesis examines the form of articles by Czech data journalists that were published on Datablog IHNED, SAMIZDAT iROZHLAS and Deník Data between 2012 and 2022. The theoretical part of the thesis deals with the fundamental definitions of data journalism, the process of creating a data journalism project and the history, present and possible future of data journalism both in the world and in the Czech Republic. This thesis also includes a brief overview of existing studies on data journalism. The methodological part of the thesis presents its research aim, quantitative content analysis as the chosen method, the design of the research, and the analysis itself. The results of the analysis, which describe the quantitative characteristics of Czech data journalists' articles, are interpreted and compared with the findings of similar foreign studies. This work is intended to provide a better understanding of the shape of Czech data journalism and the design of the research might help further research in this area.
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Big data visualization
Lehončák, Michal ; Pelikán, Josef (advisor) ; Horáček, Jan (referee)
Nowadays, data are an integral part of our lives. Their volume is growing every day, and it often prevents us from understanding what these data means. The object of this thesis is to develop an application for large dataset analysis and visualization. Thesis also explores statistical methods used to reduce volume and dimensionality of data and implements selected algorithms from this field. Another goal is to explore the possibilities of modern graphics cards, as their performance increases every year. The visualization should use a graphics processor with data are shown as points in point- cloud in 3D space and user should be able to browse this data interactively.
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Analytical methods for measurement error estimation in survey data
Chylíková, Johana ; Vinopal, Jiří (advisor) ; Kreidl, Martin (referee) ; Buriánek, Jiří (referee)
Analytical methods for measurement error estimation in survey data This dissertation aims at the domain of measurement error in social science survey data. To conceptualize and estimate measurement errors it employs the analytical and theoretical framework that stems from the analytical method of structural equation modeling (SEM) and Classical Test Theory (CTT), extended with the component of the systematic measurement error. This thesis has two goals that may contribute to development and extension of Czech social science methodology. The first goal is to illustrate methods of measurement error estimation, which has not been used for analysis of Czech data yet, and to point out to some problematical aspects of these methods. The second goal is to employ presented methods to obtain new findings regarding the quality of data from Czech surveys. The dissertation presents three empirical studies, each of which uses one of the methods defined within the presented theoretical and analytical framework. First study presents an analysis of reliability of measurement with the Quasi Simplex Model (QSM). It illustrates how to use the model and brings optimistic results regarding the reliability of the Czech EU SILC panel data. In the second study the confirmatory factor analysis model, operationally called...
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