You could try carrying out some form of hypothesis testing.

Null Hypothesis: Mean sales of the standard product in a day is mu Alternate Hypothesis: Mean sales of the standard product in a day in mu

You could then extract the rows where ride type is standard and split it into 2 time periods - before and after the premium services were introduced. You could then aggregate your sales by days or weeks (your choice on the time frame) and then carry out a Z/T-test using the above hypothesis with a chosen significance level.

You could try carrying out some form of hypothesis testing.

• Null Hypothesis: Mean sales of the standard product in a day $ = \mu$.
• Alternate Hypothesis: Mean sales of the standard product in a day $ \neq \mu$

You could then extract the rows where ride type is standard and split it into 2 time periods - before and after the premium services were introduced. You could then aggregate your sales by days or weeks (your choice on the time frame) and then carry out a Z/T-test using the above hypothesis with a chosen significance level.