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If you are interested in learning about "Reproducible and adaptable workflows using StatCan data in R" but missed my CABE webinar earlier today, the slides are online. mountainmath.ca/cabe
There are other useful resources out there to help with the packages. The documentation has a convenient function reference, as well as introduction and example articles. mountainmath.github.io/cansim/index.h…
Same for the {cancensus} package, complete with instructions of how to get your (free) API key and set it up so it's ready to use in every R session without exposing it when sharing code. mountainmath.github.io/cancensus/inde…
There are also useful guides written by others. Here is a series of posts on "Working with Statistics Canada Data in R" from the Data Enthusiast blog:
dataenthusiast.ca/?p=43
dataenthusiast.ca/?p=127
dataenthusiast.ca/?p=188
dataenthusiast.ca/?p=530
A great resource for examples of how to work with the {cansim} and {cancensus} packages is @dshkol’s blog dshkol.com. Posts come with the code to reproduce them.
My blog also has lots of examples, although I usually hide the code from the post but link back to the underlying RMarkdown notebook on GitHub.
{cansim} posts: doodles.mountainmath.ca/categories/can…
{cancensus} posts: doodles.mountainmath.ca/categories/can…
Links to the code are usually at the end of each post
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