After having split the data across the different levels of granularity by grouping the data by the time index and using different counts and to plot the frequency by time and check for seasonality in data.
We plot the time series data for different granularities and we see what we can see from the visual trends.
Clearly the difference in granularity can be seen the details of the graphs for the differences in the weekly and monthly graphs.
We can also check for stationarity by using the ADF test and we can use the P value from the test to confirm stationarity.
After Performing the ADF tests on the data we can tell very clearly that they are not stationary and we can check on how the different components of the monthly view compare when decomposed into it’s different components.
