The Dashboard Dude

Results for the combined years 2015-16 Canadian Community Health Survey (CCHS) were released in early November, 2017... all of about 680,000 lines of it! It combined results from the individual years of 2015 and 2016 to allow for a larger sample so one could get statistically reliable results for geographies smaller than the provincial level. This was what is really useful and practical about it, for knowing where to focus to address public health issues that it can help with, since the problem is probably not an even distribution throughout a province. The following set of interactive, report card style dashboards on Tableau bring out the most telling information from the survey, which is comparisons to the national and provincial averages in each year. You can embed these dashboards into websites allowing for JavaScript below, like I did below, by clicking on the Share icon (third right in from bottom right), or send as a link. The embedding actually carries the variable values at ...

My latest Tableau project involves Canadian population demographics. Statistics Canada has estimates publicly available with many age groups, both traditional genders, and all the provinces and territories, for each year from 1971 to 2016. It's a lot of data which is not only cumbersome to manage and use, but hard to visualize without a lot of work. Well, Tableau enabled me to change that so here are some of the initial offerings. I will write more as I create more interfaces with different ways to organize and/or access the data. First up is your common scatterplot by single age years. The default view is for all of Canada, both genders. You can see the bump that is the baby boom now in their mid-50s to late 60s, hitting 70. That break in the smooth curve at 70 was 1946, after all the soldiers returned home and people started having babies again. The war ended in late 1945 so give 9 months for birth and you got the boom in 1946 that is a massive jump from 1945. If you...

The Halifax weather data set was pretty messy, missing lots of little bits of data. However, I still put together a set longer than 100 years that I'll do for other locations because relatively many people in Nova Scotia live here that I didn't want to leave them all out.