There are many performance test historical data stored in QADB, we may process them to find some probably regular patterns, then utilize existing python data analysis library like pynum, pandas and scikit-learn to improve data analysis.

Goal of this project in hackweek18: 1. Learn pynum, pandas and scikit-learn. 2. Data pre-processing: a performance test case and a data pre-processing method. 3. Data analyze: provide the test case noise range


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