(Not about Jeff Bridges; but London bridges)

Just to clear things up — this is not London Bridge, but Tower Bridge.(Photo by Gabriel Kraus on Unsplash)

Ok, perhaps that was a slightly misleading title for a short blog about bridge height restrictions in London; how else was I going to make you read this?

I happened across an interesting Transport for London (TFL) data set entitled “Bridge height restrictions” here:

According to that site, there are on average 2 bridge strikes a month across London. To put that in context, there are 877 structures within the Greater London boundary/M25 comprising of low bridges, tunnels and road barriers. A cursory analysis of the data shows that the most common type of bridge restriction is one which is…


Analysis of City of Chicago crash data 2013–2021

Believe it or not — such an occurrence would be influential in predicting an injury. (Image from Unsplash)

For the third module project of my Flatiron data science course, I imagined that we had been initially approached by the City of Chicago to analyse the traffic crash data they had accumulated between 2013 and 2021. We have been asked to first, identify problems (if any) with road safety and, if so, learn what kind of improvements should be targeted and where (geographically) those improvements on the ground may be necessary.

As a side question, the City acknowledges that more people may want to cycle going forward and wants to encourage that; hence, looking ahead, they would like to…


(But it sure beats staring at a pandas dataframe)

Photo by Pedro Lastra on Unsplash

The objective of the module 2 project on my Flatiron data science course was to use a multiple linear regression model to predict the sale price of houses in King County, Washington as accurately as possible. The business case I had constructed around the project was to assume that I was advising a new firm of real estate agents who want to start a business in King County, but were strangers to King County’s real estate market and geography.

It is not the intention of this blog to run through the project step-by-step; the technical aspects of the project ought…


(Or interesting bits not included in my Flatiron data science project)

Photo by Denise Jans on Unsplash

Over the past few weeks, I have been working on a project (for my Flatiron data science course ) where the objective was to advise budding movie executives from a well-known tech company keen on establishing a movie studio. Provided with data from a variety of sources (e.g IMDB, TMDB, Rotten Tomatoes), the goal of the project was to ascertain:

  • what type of movies were doing well at the box office
  • what type of movies the new studio should be creating

The intention behind this post is not to regurgitate either the technical or non-technical aspects of the project. The…

Hsin Hin Lim

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