Json2Xlsx: Extraction and visualization of nested data in a sparse spreadsheet

Software Impacts(2023)

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摘要
Data extraction, visualization and distribution is an important task in the daily work of a database management team. In the medical field requests are often made by researchers who use spreadsheet programs such as Excel. Thus, we developed a framework which allows us to extract database tables with 1:N relations in a sparse spreadsheet which prevents redundant information. The Framework is implemented in PHP using a JSON interface. Further, we offer connectors for a direct connection to a Postgres database.
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关键词
Medical informatics, Information systems, Data visualization
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