Predicting successful pharma drug launch

I have a dataset with monthly metrics tracking the launch of various pharmaceutical drugs. There are several different drugs and treatment areas in the dataset, grouped by the lifecycle month. For example:



|Drug|Treatment Area|Month|Drug Awareness (1-10)|Market Share (%)|
|:-|:-|:-|:-|:-|
|XYZ|Psoriasis|1|2|.05|
|XYZ|Psoriasis|2|3|.07|
|XYZ|Psoriasis|3|5|.12|
|XYZ|Psoriasis|...|...|...|
|XYZ|Psoriasis|18|6|.24|
|ABC|Psoriasis|1|1|.02|
|ABC|Psoriasis|2|3|.05|
|ABC|Psoriasis|3|4|.09|
|ABC|Psoriasis|...|...|...|
|ABC|Psoriasis|18|5|.20|
|ABC|Dermatitis|1|7|.20|
|ABC|Dermatitis|2|7|.22|
|ABC|Dermatitis|3|8|.24|

* Drugs XYZ and ABC may have been launched years apart, but we are tracking the month relative to launch date. E.g. month 1 is always the first …

datascience dataset drugs example launch lifecycle market market share metrics pharma pharmaceutical tracking treatment