Hi guys. I'm not a data analyst and I need some direction in this. I'm looking for a way to know the events of the fuel during a range of time, could be a day or a month, etc. If the consumption was like the picture above would be easy.
I need to take the fueling and the possible thefs, that considering that I have false data, that could go up or down. I can see that those abrupt changes are fake because it always comes to the original value, the main problem is that I don't know how long they are gonna stay fake. Could be just one point or n points of bad points.
So, how can I detect these events (fueling and possible theft) whitout counting the errors as events?. What algorithms or formulas can I apply here?