Race results are often given in tables of data that are none too interesting, and a little hard to do much with for anyone wanting to know some things from it not given as part of the results. I recently did some visualization and analysis with some traditional running race results, on Tableau Public software as a self-learning exercise, to show how running race results could be presented in a feasible manner of a few hours’ work now that a model has been created. I’d show it here except I’m not able to use JavaScript on WordPress to embed it. However, you can see what I mean through these links.
Why the Toronto Maple Leafs did NOT Draft in 1965?
Really, who cares? Right? I wonder how many Maple Leafs fan even know the Leafs didn’t draft in 1965… let alone why?
I didn’t know, though there was no reason I should have known. I like NHL hockey but not THAT much to know such trivia. I wouldn’t have cared, either, except that in doing my first post for a Athletic Analytics, a sports analytics blog I’m starting with JavaScript visuals I can’t embed here, I saw an anomaly in the visual. Curiosity then got the better of me.
In the first post about the number of drafts in which NHL teams participated, I saw that the Toronto Maple Leafs had one fewer year of participation than the other five Original Six teams. I’m not a hockey historian but I know the Leafs had been around long before 1963 when the drafts started, so what was going on?
Got Google Home Assistant!
I just got the Google Home Assistant yesterday and will be blogging about my experiences with it in the next little while. This won’t be a review as much as a discussion of some of its features, challenges and other issues that can arise from interacting with it. The last will be the most interesting, in my opinion, like if one will start talking to others like that, or change psychologically in constantly barking orders, or even gentle requests, to something that responds in a female voice. I’ll leave all the tech stuff to tech reviewers. I care more about humanity… at least at the moment. LOL
See How Various Canadians Demographics Have Aged Via Online Dashboards
My latest Tableau dashboards involve Statistic Canada published numbers for Canadian populations in various age groups, provinces and territories, genders, and annually since 1971. They could be very useful for your work, study, or just interest as they are accessible online, with lots of details, visuals, and downloadable as PDFs or graphic images if you needed a printout of the graphs, charts and/or numbers. The link is to a post with the JavaScript required dashboards that I can’t embed on WordPress, with lots of details on what you should note. However, it is a tool with a lot of flexibility for you to explore Canada’s demographic population numbers on your own! I hope you will try it!
How do YOU Physically Measure Up to Canadians?
I just created an interactive dashboard with distributions of the Canadian population physical health measurements like standing and sitting height, weight, BMI, waist, hip and waist hip ratio, by gender and age group demographics, as measured and released by the Canadian Health Measures Survey (CHMS). More than just averages, there are percentile distributions of 5, 10, 25, 50 (median), 75, 90 and 95, so you can see roughly what portions of the populations are more or less than you in those measurements. More details are in the post with the link because I can’t post the dashboard here with JavaScript not being allowed on WordPress.
See how you stack up, or put in average values from different jurisdictions, like country, state, country bloc, etc. and see how they compare to Canadians!
Digital Citizen 