Analyze some Data - Repost - open to bidding

Project Notables: - Due Thursday, 17th April - Expected job time - 1-3hrs - Thorough understanding of MatLab/Microsoft Excel and similar programs and how to analyse data - 4th year Engineering Assessment Project Details: This semester I am completing a subject at university which involves me writing a thesis on a topic of my choice. The topic I have chosen is 'A Performance Evaluation on the Brisbane Ferries and CityCat.' Along with the chosen topic, I was advised by my topic supervisor to direct my topic in one direction (as a performance evaluation includes such a broad scope) - and from there I decided to analyse 4 components that have have a significant effect on the ferry's performance. They include: - Ferry on-time performance - How the increase in fare prices reduces passenger volumes - How terminal Dwell times effect the overall efficiency of the ferry's. - The change of Translink Peak Hour times ([login to view URL]) I have been supplied with data for the analysis. The data is in the form of excel spreadsheets. (they are 4 spreadsheets - March, April, May and June 2013) I would say each row is a passenger touch on the Gocard (for people unaware of the Gocard ticketing system - [login to view URL]) reader, and each column shows a piece of information for that touch (e.g. time, stop ID, fare) All data is on Dropbox so if interested, I will invite you to the containing folder. The metadata provided shows the meaning of each column (feature) of each Gocard transaction e.g. operator VARCHAR(25) NULL, operations_date DATETIME NULL, run VARCHAR(8) NULL, route VARCHAR(20) NULL, service VARCHAR(8) NULL, direction VARCHAR(8) NULL, scheduled_start DATETIME NULL This means that the 1st column is Operator, 2nd column is Operation date, etc. For your analysis you might be interested in operations_date, smartcard,boarding_time,direction,fare. Just a suggestion, look for the column you need for your analysis. What I am aiming for is being able to recognize a trend in the data over the course of the 4 month period - and then being able to elaborate on the way in which these variables have effected the ferry network performance. Additional Ferry Information: - [login to view URL] - [login to view URL] Thanks, Tom