How do find correlation between time events and time series data in python?
I think the accident times and the bloodsugar levels are not coming from the same source, and so I think it is not possible to draw a correlation between these two separate datasets. If you would like to assume that the blood sugar levels of all 14 workers reflect that of the workers accident dataset, that is a different story. But what if those who had accidents had a significantly different blood sugar level profile than the rest, and what if your tiny dataset of 14 workers does not comprise such examples? I think the best you may do is to graph the blood sugar level of your 14 worker dataset and also similarly analyze the accident dataset separately, and try to see visually whether there is any correlation here.
I have two different excel files. One of them is including time series data (268943 accident time rows) as below
The other file is value of 14 workers measured daily from 8 to 17 and during 4 months(all data merged in one file) 
I am trying to understand correlation between accident times and  values (hourly from 8 to 17 per one hour and daily from Monday to Friday and monthly)
Which statistical method is fit(Normalized Auto or cross correlation) and how can I do that?
Generally, in the questions, the correlation analysis are performed between two time series based values, but I think this is a little bit different. Also, here times are different.
Thank your advance..