Automatické generování grafů z otevřených datasetů

Novelinka, Samuel

There has been a substantial influx of open datasets in recent years due to many factors such as new legislation aiming towards government transparency as well as the boom of open-source software. However, this abundance of freely available data comes with its own issues such as lacking or non-uniform metadata. This makes it considerably more difficult to browse and search open datasets. To partially tackle this problem we propose an algorithm which employs schema discovery techniques to parse the provided dataset and selects potentially useful charts which offer fast insight into the data structure, all while requiring minimal user interaction and configuration. Next, we describe a specific implementation of the algorithm in form of a Chrome extension, which dynamically processes a found dataset and renders a set of selected charts. Finally, we provide results of tests on a random set of datasets, give examples of usage of our implementation, and conclude the thesis with our final thoughts on the algorithm, our criticism, as well as ideas on potential improvements. 1

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