This blog has moved

Thanks for visiting this blog. has moved to Github Pages. All the content hosted here will continue to remain accessible at the URL

Friday, March 16, 2012

Anatomy of a busy month

February 2012 was a very busy month for me. I have survived numerous busy days and weeks in the past, most of which usually culminate in important deadlines, but I don't ever remember having had a hectic month in recent memory. The trend has however been the same though - it usually results in me compromising my sleep. This past month was going to be something similar, but this time I decided to keep track of my sleeping habits for the month. Initially, it looked like just a fun thing to do, but as the month progressed the data I gathered showed some interesting patterns. It wasn't until the end of the month that I decided to analyze the data that I had collected and study it.

Here's what I used:

1. Path for iOS - To monitor the time I go to sleep and the time I wake up. I am guessing that few of my friends were left bewildered seeing this. Although the app has a nice UI, I don't think I used it for anything else all month. I would like to attribute my inactivity on the network effect

2. JMP - The popular statistical analysis software to build and study the models.

3. Google Docs Spreadsheet - To log the data and tabulate it neatly. I also used the chart feature to plot simpler versions of the data obtained from JMP. This was used only for the sake of convenience of visual representation of the data. All the analysis was done using JMP. 

4. I used the NSF for references and used some data for my baselines. 

Below is the summary of the analysis: 

Time period: 1 February 2012 to 1 March 2012

a. This is a typical image of my Path timeline for the whole month.

b. This is the daily sleeping and waking activity. The spikes in the graph indicate weekends.


c. This is the average hours slept daily for the month

d. Pie chart representation of the hours slept daily

e. The daily average against the recommended hours of sleep.

f. The weekly average of hours slept. This was computed from Wednesdays to Tuesdays.