Oct-02-2019, 02:01 AM
I would like to use Python and Machine learning to read time stamped data set and analyze its trend behaviour to generate a report if any outliers.
This will basically be used to analyze daily datadump and recognize change in trends and generate report when certain unexpected behavious happens over time etc.
Create a logic that when Status = 1, it is OK that pressure increases. If status 0 = expect to decrease. I basically want to generate a report that let the user know that pressure has increased between 08-10 september, while the status was 1, and is not following the set up logic
![[Image: TpY2O.png]](https://i.stack.imgur.com/TpY2O.png)
This will basically be used to analyze daily datadump and recognize change in trends and generate report when certain unexpected behavious happens over time etc.
Create a logic that when Status = 1, it is OK that pressure increases. If status 0 = expect to decrease. I basically want to generate a report that let the user know that pressure has increased between 08-10 september, while the status was 1, and is not following the set up logic
![[Image: TpY2O.png]](https://i.stack.imgur.com/TpY2O.png)