This morning I worked to get my scripts up on the server as well as the csv file I needed, so that I could run them there and hopefully get a faster response since my program was pretty computationally expensive. Even when I did get it up and running though, it was still taking a while, and after about an hour of processing different rows, I had some interesting initial findings. First off, some of the incredibly expensive cost per boardings (those upwards of $100 ranging to about $495) had very high cost savings when put on a taxi instead. However, I realized something must be wrong with my methodology because some of the taxi costs were coming to zero dollars, which is wrong, and it seemed like some of the really expensive cost per boardings were very cheap taxi rides, meaning that they would be very short distances. This is very suspicious, because most of the ugly rides come from rides that go farther distances, and it is unclear how someone could get such a high cost per boarding without going very far.
The presentations went really well. We were asked quite a few different questions throughout our presentation, and therefore we went over time by a good amount. Afterwards, we chatted with a reporter from Xconomy, which was cool. Overall, I think it went really well, and we were well prepared to answer questions and explain the nuances of our project.
The presentations went really well. We were asked quite a few different questions throughout our presentation, and therefore we went over time by a good amount. Afterwards, we chatted with a reporter from Xconomy, which was cool. Overall, I think it went really well, and we were well prepared to answer questions and explain the nuances of our project.