Lead
The number of tickets issued for Port Moody's most frequent bylaw infractions saw monthly increases of up to 66% during the Summer, according to City of Port Moody data.
Excel Workbook and Explanation
Port Moody Bylaw Tickets - Raw data & Slice
The above Excel workbook contains two sheets, the first being the raw data from the City of Port Moody, and the second being a small slice of data which was used for analysis. The slice of data is based on total bylaw tickets issued for the 'Rocky Point boat launch & Parking Regulation' and 'Street Traffic & Public Places' categories. These categories were chosen as they were the two most frequently ticketed infractions in the data set.
The slice makes use of two tables: one for the monthly percentage of total bylaw tickets issued for each bylaw description, and the other for the change in percentage each month. Comparing these two tables allows for a reasonable analysis of which monthly increases were significant and not based on smaller numbers (e.g. for a 0.5% to 0.9% increase).
Original Dataset Link
I am using the 'Bylaw Tickets' dataset from Port Moody's Open Data Portal.
News Story Link and Brief Summary
A Tri City News article notes that Port Moody bylaw officers were moving from warnings to fines at Rocky Point during the summer of 2015. The article also notes that the city now has extra bylaw officers, one of which is stationed at Rocky Point to monitor parking on the weekends. This increase in enforcement can help explain why parking enforcement at Rocky Point was part of the second most frequently ticketed bylaw description.
Hello Philip!
ReplyDeleteThis was a very interesting update! I appreciate that you were concise in writing this update, and I look forward to seeing further updates with this set. My only critique is that an explanation for what your cited infractions entail would be helpful in understanding this dataset. Otherwise, great work!
Hi Philip,
ReplyDeleteI think you did well in writing a concise explanation of your data slice and how you got to it. Like Breanna mentioned, I do think briefly explaining what some of the bylaw infractions mean could help out readers who are unfamiliar with the specific jargon and terminology used.
Hello Phillip,
ReplyDeleteYou did a great job with this update. The news article you found was quite interesting and helps to explain some of the patterns in your data. I will agree with the others that a bit more explanation of the infractions would be helpful for someone unfamiliar with them.
Hey Philip,
ReplyDeleteReally like this update, great job! Honestly, can't find anything to say that could be fixed, maybe a little more explanation here and there about specific things, but other than that I like where you are going with this.
Hi Philip,
ReplyDeleteI think you have done a really good job here with this update. Your information is precise and shows that you have spent a lot of time understanding it. Not much I would change here. Looks great and can't wait to read the full report!
Hello Philip,
ReplyDeleteI think you did really well on this update. Like Wilson said, it was interesting to see how the news article that you found explained a lot about why there were more increases in parking tickets at Rocky Point during the summer.
Hello Philip! I enjoyed reading your update 2, and you do a good job of explaining how you got to your numbers. I like how the lead includes the percentage increase, which works well in grabbing the reader’s attention. The article that you have included was interesting to read – as it mentions important information, such as the move from warnings to actual fines and the increase of bylaw officers. I think these points are critical when it comes to some possible explanations with the dataset you are working with. Great job so far, and I look forward to the rest of the updates/final project.
ReplyDeleteHi Philip, your update is well-written, and I think the news story you included is very important as it explains factors that likely made a noticeable impact on your data.
ReplyDelete