A visualization tool for examining wear-out reliability test data for model and test development
For development, do:
pip install -e .
Required packages are listed in the requirements.txt file and can be installed using:
pip install -r requirements.txt
For a quick run that will open the visualizer in your default web browser, go into ./gracefall and run
python main.py
| Task ID | Description |
|---|---|
| T1 | Examine the statistical distribution evolution of multiple data series as time progresses |
| T1.a | Find identifiable groups that show similar behaviour within the larger set |
| T1.b | Roughly track sample variance and likelihood region evolution, identify asymmetries |
| T1.c | Catch outlier samples and propose probable causes for the outliers using background/meta data |
| T2 | Search for probable values in background/meta data that result in large changes to data series trends in time |