This thesis describes the development of DataMole, a new tool written in Python, equipped with a Qt-based graphical interface, that can support researchers during data exploration and preprocessing activities. Data transformation pipelines can be defined and executed within a simple, user-friendly graphical environment, effectively providing an intuitive approach to data manipulation. The tool also embeds functionalities for data visualisation through interactive plots, like scatterplots and line charts, and provides a specific feature for the extraction of time series from longitudinal datasets
A graphical data analysis tool for dataset enhancement and preprocessing
Zangari, Alessandro
2020/2021
Abstract
This thesis describes the development of DataMole, a new tool written in Python, equipped with a Qt-based graphical interface, that can support researchers during data exploration and preprocessing activities. Data transformation pipelines can be defined and executed within a simple, user-friendly graphical environment, effectively providing an intuitive approach to data manipulation. The tool also embeds functionalities for data visualisation through interactive plots, like scatterplots and line charts, and provides a specific feature for the extraction of time series from longitudinal datasetsFile | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/22412