Sensory data measured at different time intervals can be displayed in different ways, however, presenting it in a graphical representation has been found to be the easiest to understand by many users. This diploma thesis includes the planning and development of a web application for the import of existing data into its own database, and the visualization of data in the form of a table, line chart, and column chart. Data import is possible in three different ways: manual import with additional metadata entry for given measurements, which requires slightly more user interaction; import from file without additional user interaction; and import from a remote service Google Drive that allows retrieval of data from other existing systems. The web application is developed in the PHP programming language and the Laravel framework. The user interface is developed with Vue.js and Tailwind frameworks. Data visualization is arranged using the Amcharts visualization library.
In addition to a display, the user can also export data in the form of an image or .csv file.
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