...And I don't even think it's a hard one. What I want to do seems crazy easy and obvious, but I can't quite figure it out. I'm sure I'm just missing something.
I have a list of about 150,000 records, of all kinds of alarms over the past months. One column is the date, oen column is the time (hh:mm:ss), one the client, one the ID number of the camera that created the alarm.
Now, I don't actually really need to know where the alarm's from. What *do* want to know is when the most alarms go off, by hour and day of the week. Basically, a graphic showing me when the peak moments are - do we need extra people to deal with alarms on week nights? Or weekend days? Or maybe the peaks are completely random and only dependant on the weather?
So, yeah. I'm fairly sure I have to extract the day-of-the-week info from the date and change the time into a number, but I'm sort of stuck on how to properly graph it out.
I have a list of about 150,000 records, of all kinds of alarms over the past months. One column is the date, oen column is the time (hh:mm:ss), one the client, one the ID number of the camera that created the alarm.
Now, I don't actually really need to know where the alarm's from. What *do* want to know is when the most alarms go off, by hour and day of the week. Basically, a graphic showing me when the peak moments are - do we need extra people to deal with alarms on week nights? Or weekend days? Or maybe the peaks are completely random and only dependant on the weather?
So, yeah. I'm fairly sure I have to extract the day-of-the-week info from the date and change the time into a number, but I'm sort of stuck on how to properly graph it out.