manipulateData.py creates for each File a pd.Dataframe for regular and manipulated datapoints
manipulateData.py creates for each File a pd.Dataframe for regular and manipulated datapoints

1. The script opens each file in the folder
2. Creates a DataFrame out of it
3. Calculates and Adds the columns: Session, Carrier, Iteration, Speed,
Acceleration for each datapoint
4. Creates a DataFrame for each Iteration with comulated Values:
avgEnergyConsumption, comEnergyConsumption, avgSpeed, avgAcceleration

AMOSus/amos-ss16-proj6,AMOSus/amos-ss16-proj6,AMOSus/amos-ss16-proj6,AMOSus/amos-ss16-proj6