Byte 4 Results

Post date: Mar 5, 2014 1:38:11 AM

On the map front, two assignments nicely explore the reasons for low numbers of mcdonalds both with respect to population and other factors (such as the type of neighborhood).

For the mobile side of things, almost everyone analyzed my data :). Many of you got interesting responses from me about things that seemed to be descriptive that were anomalies or errors that as the person the data was about I could best interpret. Some examples of analyses you produced include:

• this analysis of activity vs distance from CMU. The 5-10 minute distance represents my 'home range' and is present in the majority, while >1hr is my time at hidden valley.
• this analysis of activity across days of month which highlights which activities are variable and which are common
• this zoomable clustering map of location that shows the route to hidden valley as well as places I tend to spend time in Pittsburgh

Thanks again for all your hard work on Byte 4!!