Agenda:
6:30 PM - Pizza and networking
7:00 Jeffrey Flint: Modeling the SF Municipal Bus System
7:20 - Dan Putler: Using R and Alteryx to Uncover
the Dimensions of Movie Ratings
7:50 - John Mount: Some statistics for data scientists:
issues you can and can not ignore
8:20 - Jim Porzak: Customer Segmentation with R
Jeffrey Flint
Municipal bus systems, at least in San Francisco, are notorious for being unreliable and at the same time very expensive to operate. This presentation investigates how to solve both of these problems by using a demand-based scheduling algorithm. Monte-Carlo simulation is used to compare the performance of a demand-based bus scheduling algorithm with that of the conventional, periodic-based bus scheduling algorithm. Samples of the simulation are presented as an animation, using the R packages ggplot2 and shiny. Comprehensive static statistical visualizations are also presented using these packages
