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Publicação
Big Data Visualization: Tableplot for Python
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 1.67 MB | Adobe PDF |
Orientador(es)
Resumo(s)
The rapid increase of data generation across different industries such as government, social
networks, and mobile applications, driven by the Internet of Things (IoT) and cloud computing
technologies, has created an urgent requirement for processing and visualizing massive
amounts of data. In this context, data-intensive environments now depend heavily on Big Data
analytics and thus efficient and scalable visualization methods. This work aimed to identify the
types of data visualizations commonly used in Big Data. It was identified that the tableplot
chart has proven effective for summarizing large datasets. Tableplot was originally an R
package that was discontinued and had not been properly translated to Python, retaining only
a subset of its functionalities. Based on the identification of a possible gap and an opportunity
to create a tool that would be useful for both the academic community and data analysis
professionals. The present work employed agile methodologies and utilized programming
language translation dictionaries to successfully port the package to Python, subsequently
publishing it on the PyPI website and GitHub. The Python package duplicates every essential
functionality from its R counterpart and provides additional features to improve readability,
identified by the authors of the original R package as opportunities for improvement. The
research provides academic value and innovation through the tableplot package development
and publication, since it had not yet been translated to Python while maintaining all original
functionalities, and can be used as a reference in future package translations between
different programming languages. Besides this, the current work can also be helpful by serving
as a source for a better understanding of Big Data, as well as tableplot data visualization
specifically, which, compared to other identified visualization methods, is less frequently cited
in academic works.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Driven Marketing, specialization in Data Science for Marketing
Palavras-chave
Big Data Data Visualization Tableplot Python Exploratory Analysis SDG 4 - Quality education SDG 7 - Affordable and clean energy