Thank you, for your clearly articulated and polite comment!

> I am worried you're asking for equality for the sake of making things equal but not necessarily equitable.

To clarify, I don't want equity as in 50-50. I think we should think a little bit about what the effects having large disparity could have on society in any given field, and If the disparity has negative effects we should attempt to minimize the negative effects possibly by encouraging entry into that field.

> I ask the question "Would patient outcomes be any different if there were more male nurses"

So this an effect that does happen:

Example, My father in-law has serious issues currently, he can't stand, change himself, and wears a diaper. This morning he needed 3 females to help change him and get him into a wheel chair. His pride was hurt by having to be naked in front of these women, in a way that does not happen when I am there to assist him alone. If enough male assistants were available he would feel much better about it, also he is not large as in your example so it is mainly in this case a pride issue.

> People's interests are their own, and so long as no one is disallowed from pursuing their own interests, I don't think any harms being done. In fact any attempt to equalize this normal distribution could come at a cost of limiting peoples natural interests

I agree people should pursue there own interests and never be forced into anything. I even think that encouragement should be limited to cases where there are larger nock on effects, that are identified.

I don't know. The data is not broken down in that manner.

That is a fair comment, I actually specifically removed "Total", this is the graph with total included. the values for total go from 57% -> 60%

Thanks for the suggestions, you are probably right about the larger text, but I don't know about the gather on the left thing, I tried it in earlier versions, and it was sometimes hard to "follow" the label over to the number

It is disappointing. I think more women should be in computer science. But, by the same token I am worried about the number of men going into healthcare and education. It would be nice if there was gender representation going both ways.

The source table only breaks down the data by age and gender, making it impossible to determine if your intuition is correct. Sorry.

That is a very good point. I should point out that these are graduation numbers. I made an earlier post about enrollment numbers here. These numbers are more stable over a similar time period. Although I will note that the enrolment numbers are an even lower number then the graduations. Possibly indicating that potentially females are more likely to complete the degree.

This Project was done with R and and ggplot. and this datatable from statscan

That is a really good point. StatCan decided how to sub-divide it, and was using the Classification of Instructional Programs (CIP) Canada 2016 unsure why those two were combined.

Nice. But I suggest the removal of the alpha, as it just makes it more confusing, adding no new information to the plot.

Thanks for the thoughtful comments I disagree. about the bar chart. I always felt grouped bar charts are not great ways of showing comparisons of data. I also disagree about flipping the axis. I always put the categorical value on the y-axis as it facilitates reading the text. But the points about the light blue and font are spot on.

thanks for the feedback, I agree on the colors and the captions. The blank space at the start is because the graph goes from 0% to 100% I could make it go from 15% to 85% or something like that.

This was done 100% with R and the data source is located here https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3710016302