> From: J. van Baardwijk <[EMAIL PROTECTED]> > At 19:29 9-1-02 -0600, The Fool wrote: > > > > We can track the times when he/she > > > posts, and based on that distribution it will be possible to infer if > > > he/she posts from home, from a college/university, or from his work > > > >I am definitely awaiting your analysis of my posting times. This will be > >very interesting. > > When we look at day of the week, Monday is Kneem's favourite day to post > here: 20.7% of his messages were sent on Mondays. The percentages for the > various days of the week are: > > Sun 9.0% > Mon 20.7% > Tue 9.9% <-- can someone explain this dip? > Wed 17.6% > Thu 15.3% > Fri 16.7% > Sat 10.8% > > When we look at the time of day, it turns out that the time frames 09:00 - > 10:00 and 19:00 - 20:00 are favourite: 20 posts (9.0%) each. > > Time frame Posts Perc. | Time frame Posts Perc. > 00:00 - 01:00 6 2.7 | 12:00 - 13:00 12 5.4 > 01:00 - 02:00 7 3.2 | 13:00 - 14:00 15 6.8 > 02:00 - 03:00 2 0.9 | 14:00 - 15:00 9 4.1 > 03:00 - 04:00 2 0.9 | 15:00 - 16:00 10 4.5 > 04:00 - 05:00 1 0.5 | 16:00 - 17:00 16 7.2 > 05:00 - 06:00 0 0.0 | 17:00 - 18:00 14 6.3 > 06:00 - 07:00 5 2.3 | 18:00 - 19:00 11 5.0 > 07:00 - 08:00 11 5.0 | 19:00 - 20:00 20 9.0 > 08:00 - 09:00 7 3.2 | 20:00 - 21:00 11 5.0 > 09:00 - 10:00 20 9.0 | 21:00 - 22:00 7 3.2 > 10:00 - 11:00 7 3.2 | 22:00 - 23:00 4 1.8 > 11:00 - 12:00 13 5.9 | 23:00 - 00:00 12 5.4 > > I put all the data (breakdown per day and per time frame) in an Excel > sheet, which is available on request (23.5 KB). I will leave it those with > better statistical skills than mine to make an in-depth analys of the data.
I'd like to see some of that.
