Let’s explore Wayne Gretzky’s goals (it’s his birthday tomorrow!). I’ve thought of some good questions and one “great” question that we can answer using this dataset. Finally, could Ovechkin break Gretzky’s goal record? (more…)
Harvard Business Review ranked the top 100 CEOs with three weighted categories (80%, 10%, 10%). I downloaded their data and added some formulas to modify the weighting. Does it make a difference? (more…)
In February my wife and I were planning a trip to New York City. I stumbled upon an interesting data-set that MOMA had shared with data.world. (more…)
How did a New York Times article about the lack of scientific cat research lead me to this spreadsheet: “Affective norms of 875 Spanish words for five discrete emotional categories and two emotional dimensions” ? (more…)
Subway riders cringe when a delay is announced. Emotions range from mild annoyance to outbursts of anger. Delays inconvenience us and reduce productivity. By default we blame subway management (TTC in Toronto). Is this fair? Wouldn’t it be nice if we had data to determine what causes the delays? (more…)
I stumbled across this interesting data-set that lists Toronto’s indoor ice rinks. I thought that it would be fun to visualize the rink locations so I used Excel’s 3D Map feature. (more…)
One of the highlights of my life was travelling to the 2016 summer Olympics in Rio de Janeiro to watch my sister, Krista DuChene, run in the women’s marathon. Her story is inspirational. Krista fractured her leg on April 28, 2014 during a half marathon and then in August of 2015 she broke a bone in her foot only one year before the Olympics.
This is my first post about exploring free public data sources. Knowledge really is powerful and knowing how people get injured is important in order to learn from it and avoid future accidents.