I have two time-series:
- Number of emails opened daily between January-March.
- Number of applications created daily between January-March.
There is an expected time lag between someone opening an email and actually creating an application, it does not have to happen the same day. How can I account for this and test whether number of emails opened affects the number of applications created?
Plotting a scatter plot in Python does not show much as each point is strictly the data from the same date.