Tidytuesday: Claremont Run, X-men Characters

By Deependra Dhakal in tidyverse R

August 4, 2020

X men characters

Data dictionary explore

Table: Table 1: Data summary

Name Piped data
Number of rows 308
Number of columns 9
_______________________
Column type frequency:
character 8
numeric 1
________________________
Group variables None

Variable type: character

skim_variable n_missing complete_rate min max empty n_unique whitespace
series 0 1.00 8 20 0 7 0
title 81 0.74 4 237 0 225 0
writer 2 0.99 10 29 0 15 0
artist 266 0.14 8 12 0 4 0
cover_artist 56 0.82 8 54 0 46 0
pass_bechdel 1 1.00 2 3 0 2 0
page_number 221 0.28 1 5 0 22 0
notes 300 0.03 17 63 0 8 0

Variable type: numeric

skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
issue 0 1 118.45 91.13 1 38 105 184.25 294 ▇▅▃▂▅

Exploratory visualization

Source: https://jmablog.com/post/which-x-men-character-had-it-worst/

Tidybayes modeling

https://joshuacook.netlify.app/post/uncanny-x-men-bayesian-analysis/

Bechdel testing

https://juliasilge.com/blog/uncanny-xmen/

Posted on:
August 4, 2020
Length:
1 minute read, 144 words
Categories:
tidyverse R
Tags:
R
See Also:
Simulating genetic drift
Missing negative from the normal
Internals of Mixed Models