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A basic GUI is implemented to query SQL database to create data visualizations which describe instrument performance in a simple and digestible manner.  The following python libraries are utilized: numpy, pandas, matplotlib, sklearn, statistics, sqlite3, os, time, \u0026amp; datetime.  Instance data is stored in JSON format in the dicts.txt text file.\n\n### Command Line Interface (CLI) Example\n![GUI](https://github.com/kitestring/SciData/blob/master/SampleOutputs/GUI_Example.png)\n\n### To maintain confidentiality the data examples shown below are not “real” and are simulated data sets.\n\n### Spectral Quality Output Example\n![Data Set #1 Example](https://github.com/kitestring/SciData/blob/master/SampleOutputs/OFN_SpectralQuality.png)\n\n### System Linearity Output Example\n![Data Set #2 Example](https://github.com/kitestring/SciData/blob/master/SampleOutputs/OFN-QuantCurve.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkitestring%2Fscidata","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkitestring%2Fscidata","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkitestring%2Fscidata/lists"}