Three ways to look at #TidyTuesday UK pay gap data | Julia Silge

[utterances-bot]

Three ways to look at #TidyTuesday UK pay gap data | Julia Silge

A data science blog

https://juliasilge.com/blog/pay-gap-uk/

[mitsuoxv]

I wondered why "services", "management" and "human" get wider in the last chart, and found those words have unrealistic < -4 diff_wage, which should be between -0.5 and 0.5.

Code: https://github.com/mitsuoxv/tidytuesday/blob/main/2022_06_28_uk_gender_pay_gap.Rmd

[juliasilge]

@mitsuoxv Nice! Thanks for sharing.

[mesdi]

Isn't that being a problem that the r-squared of the model is relatively low?

[juliasilge]

@mesdi I don't think the best way to think about metrics is whether they are low or high without context. The R^2 being low here means than we do not explain a lot of variance in gender pay gap by type of economic activity; there must be other quantities (some of them unmeasurable) contributing to the org-level variance in gender pay gap. Makes sense to me!

[Kertoo]

Will you do analysis of angry comments under this video? I haven't seen them although I may have an approximate picture of how the comment section presented itself it would still be interesting.

[juliasilge]

@Kertoo HA 😆 yep, I had to turn off comments on that video because I somehow got picked up via the algorithm and surfaced to folks who did NOT like it.

[Kertoo]

@juliasilge Well it's good to know you didn't let it get to you :)