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DS9-Bechdel.Rmd
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DS9-Bechdel.Rmd
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---
title: "StarTrek-Bechdel"
author: "Zane Dax"
date: "09/08/2021"
output:
html_document:
css: trekStyle.css
---
<style>
@import url('https://fonts.googleapis.com/css2?family=Oswald:wght@300&display=swap');
</style>
```{r setup, include=FALSE, warning=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
# Bechdel-Wallace Test of Star Trek DS9
This data is testing if the episodes per season of the TV show Star Trek DS9 pass or fail the **Bechdel-Wallace** test. For more information check the *Bechdel-test.md* file. Simple criteria for the test to end in a pass is the following:
## Criteria :
1. must have 2+ named women
2. named women talk to each other
3. topic of discussion is not a man/ men including regarding relationship(s)
## Notes for DS9
* Null indicates that 1 female was present in a scene with males or not in the scene at all.
* Jadzia Dax was so frequently the only female in scenes filled with males due to her being the only female that leaves the station on a regular basis, later episodes Kira Nerys does as well
* If an episode has both a fail and a pass, the longer conversation determines the total outcome
* Out of all Star Trek writers for shows TOS, TNG, DS9 and VOY, 66 are female and 302 are male. The female writers in total make up 21.85% of all Star Trek writers.
* DS9 Female main characters: Kira Nerys, Jadzia Dax, Ezri Dax, Keiko, Kai Winn, Leeta, Female Founder
```{r warning=FALSE, echo=FALSE, include=FALSE}
library(tidyverse)
library(ggplot2)
```
## Read in the dataset
> ds9 = read.csv('StarTrek-DS9.csv')
## Episodes per season
> ds9 %>% count(Season)
```
Season n
<dbl> <int>
1 1 19
2 2 26
3 3 26
4 4 25
5 5 26
6 6 26
7 7 25
```
## Bechdel-Wallace initial pass/fail
<p id="code">
> ds9 %>% count(`Bechdel-Wallace`) %>% <br>
ggplot( aes(x= `Bechdel-Wallace`, y= n ) ) + <br>
geom_col( fill= c("#cc0000",'#00cc00')) + <br>
labs(title = "Star Trek DS9 Bechdel-Wallace Test", <br>
subtitle = "Total number of pass and fails per episode")
</p>
The number of fails of the Bechdel-Wallace test are 152 and the number of passes is 21.
## DS9 Directors by Gender
> ds9 %>% <br>
select(Director_Gender, <br>
Writer_Gender, Episode, `Bechdel-Wallace`) %>% <br>
group_by(Director_Gender) %>% <br>
count()
Female directors count is 7 while the Male directors is 166.
## DS9 Director's Gender & Bechdel Test
> ds9 %>% <br>
select(`Bechdel-Wallace`, Director_Gender, Episode, Season) %>% <br>
# filter(`Bechdel-Wallace` =="Pass") %>% <br>
group_by(Episode,`Bechdel-Wallace`)
## DS9 Female Directors Episodes
> ds9 %>% <br>
filter(Director_Gender == "Female") %>% <br>
select(Title, Director, Season)
## DS9 Writers with 1 or more Female by Season
> ds9 %>% <br>
filter(Writer_Gender =="Female") %>% <br>
select(Title, Writer_Gender, Season, Episode, Written_By)
## DS9 Female (only) Writers by Season
> ds9 %>% <br>
select(Season, Director_Gender, Writer_Gender) %>% <br>
group_by(Season,Writer_Gender) %>% <br>
filter(Writer_Gender =="Female") %>% <br>
count()
## DS9 Bechdel-Wallace Passes by Season
The data for the barchart is selected on pass variable and there is only 1 female Director (Season 2), a total of 2 female writers (1 female in Season 1, and in Season 2: 1 female + male)
> ds9 %>% <br>
filter(`Bechdel-Wallace` =="Pass") %>% <br>
select(Season,Episode,Writer_Gender,Director_Gender)
## DS9 Writers by Gender grouping
> ds9 %>% <br>
group_by(Writer_Gender) %>% <br>
count()
## Linear Regression
A linear regression model was conducted to see if there was any affect a Director or Writer's gender had on if it passed or failed the Bechdel-Wallace test.
```
Call:
lm(formula = Bechdel ~ Director_Gender + Writer_Gender + Season,
data = ds9)
Residuals:
Min 1Q Median 3Q Max
-0.1514 -0.1287 -0.1233 -0.1178 0.9117
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1.105551 0.164569 6.718 2.81e-10 ***
Director_GenderMale -0.014517 0.129410 -0.112 0.911
Writer_GenderFemale (+ men) -0.085598 0.254370 -0.337 0.737
Writer_GenderFemale + Female -0.088316 0.347191 -0.254 0.800
Writer_GenderFemale + Male 0.059456 0.159669 0.372 0.710
Writer_GenderMale 0.045844 0.101841 0.450 0.653
Season -0.002718 0.013483 -0.202 0.841
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 0.3327 on 166 degrees of freedom
Multiple R-squared: 0.004003, Adjusted R-squared: -0.032
F-statistic: 0.1112 on 6 and 166 DF, p-value: 0.995
```
As you can see that there is no statistically signifant affect of either writer or director's gender has on if an episode passes the Bechdel-Wallace test.