Gender Inequality in Film
Nhi Hin
2021-03-16
Last updated: 2021-03-16
Checks: 7 0
Knit directory: TidyTuesday/
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| Rmd | d1f85dc | Nhi Hin | 2021-03-16 | add gender film analysis |
Import Data
- Import in data as follows:
tuesdata <- tidytuesdayR::tt_load(2021, week = 11)--- Compiling #TidyTuesday Information for 2021-03-09 ------- There are 2 files available ------ Starting Download ---
Downloading file 1 of 2: `raw_bechdel.csv`
Downloading file 2 of 2: `movies.csv`--- Download complete ---movies <- tuesdata$movies
raw_bechdel <- tuesdata$raw_bechdel- Preview data:
raw_bechdel# A tibble: 8,839 x 5
year id imdb_id title rating
<dbl> <dbl> <chr> <chr> <dbl>
1 1888 8040 0392728 Roundhay Garden Scene 0
2 1892 5433 0000003 Pauvre Pierrot 0
3 1895 6200 0132134 The Execution of Mary, Queen of Scots 0
4 1895 5444 0000014 Tables Turned on the Gardener 0
5 1896 5406 0000131 Une nuit terrible 0
6 1896 5445 0223341 La fee aux choux 0
7 1896 6199 0000012 The Arrival of a Train 0
8 1896 4982 0000091 The House of the Devil 0
9 1897 9328 0000041 Bataille de neige 0
10 1898 4978 0135696 Four Heads Are Better Than One 0
# … with 8,829 more rowsmovies# A tibble: 1,794 x 34
year imdb title test clean_test binary budget domgross intgross code
<dbl> <chr> <chr> <chr> <chr> <chr> <dbl> <chr> <chr> <chr>
1 2013 tt17… 21 &… nota… notalk FAIL 1.30e7 25682380 42195766 2013…
2 2012 tt13… Dred… ok-d… ok PASS 4.50e7 13414714 40868994 2012…
3 2013 tt20… 12 Y… nota… notalk FAIL 2.00e7 53107035 1586070… 2013…
4 2013 tt12… 2 Gu… nota… notalk FAIL 6.10e7 75612460 1324930… 2013…
5 2013 tt04… 42 men men FAIL 4.00e7 95020213 95020213 2013…
6 2013 tt13… 47 R… men men FAIL 2.25e8 38362475 1458038… 2013…
7 2013 tt16… A Go… nota… notalk FAIL 9.20e7 67349198 3042491… 2013…
8 2013 tt21… Abou… ok-d… ok PASS 1.20e7 15323921 87324746 2013…
9 2013 tt18… Admi… ok ok PASS 1.30e7 18007317 18007317 2013…
10 2013 tt18… Afte… nota… notalk FAIL 1.30e8 60522097 2443731… 2013…
# … with 1,784 more rows, and 24 more variables: budget_2013 <dbl>,
# domgross_2013 <chr>, intgross_2013 <chr>, period_code <dbl>,
# decade_code <dbl>, imdb_id <chr>, plot <chr>, rated <chr>, response <lgl>,
# language <chr>, country <chr>, writer <chr>, metascore <dbl>,
# imdb_rating <dbl>, director <chr>, released <chr>, actors <chr>,
# genre <chr>, awards <chr>, runtime <chr>, type <chr>, poster <chr>,
# imdb_votes <dbl>, error <lgl>Analysis
- Let’s try to reproduce the following plot from the FiveThirtyEight article.
- The scoring seems to be coming from the
test(orclean_test) in themoviesdata.
movies$clean_test %>% unique()[1] "notalk" "ok" "men" "nowomen" "dubious"- The histogram below shows that each year, there are more movies.
movies %>%
ggplot(aes(x = year, fill = clean_test)) +
geom_bar() +
ggtitle("The Bechdel Test Over Time")
| Version | Author | Date |
|---|---|---|
| 4d5c860 | Nhi Hin | 2021-03-16 |
- In the FiveThirtyEight plot, they bin the years, and show the values as percentages rather than exact values. Let’s try to do this. First, we set the
breaksaccordingly.
# Adapted from https://www.jdatalab.com/data_science_and_data_mining/2017/01/30/data-binning-plot.html
# set up cut-off values
breaks <- c(1970, 1975, 1980, 1985, 1990, 1995, 2000, 2005, 2010, 2013)
# specify interval/bin labels
tags <- c("[1970-1974)",
"[1975-1979)",
"[1980-1984)",
"[1985-1989)",
"[1990-1994)",
"[1995-1999)",
"[2000-2004)",
"[2005-2009)",
"[2010-2013)")
# bucketing values into bins
group_tags <- cut(movies$year,
breaks=breaks,
include.lowest=TRUE,
right=FALSE,
labels=tags)
# inspect bins
summary(group_tags)[1970-1974) [1975-1979) [1980-1984) [1985-1989) [1990-1994) [1995-1999)
21 33 58 67 90 247
[2000-2004) [2005-2009) [2010-2013)
352 488 438 # order factor
movies$year_bin <- factor(group_tags,
levels = tags,
ordered = TRUE)- I’m also going to reorder the
clean_testso that it matches the FiveThirtyEight plot.
movies$clean_test %<>% factor(levels = c("ok", "dubious", "men", "notalk", "nowomen"))- Redo the bar plot for the bins, and change position to fill in order to make it show percentages (see https://www.r-graph-gallery.com/48-grouped-barplot-with-ggplot2.html).
movies %>%
ggplot(aes(x=year_bin, fill = forcats::fct_rev(clean_test))) +
geom_bar(position = "fill")+
scale_x_discrete(labels = c("[1970-1974)" = "1970-74",
"[1975-1979)" = "",
"[1980-1984)" = "1980-84",
"[1985-1989)" = "",
"[1990-1994)" = "1990-94",
"[1995-1999)" = "",
"[2000-2004)" = "2000-04",
"[2005-2009)" = "",
"[2010-2013)" = "2010-13")) +
labs(x = "Year", y = "Percentage (%)", fill = "") +
scale_y_continuous(breaks = c(0, 0.25, 0.5, 0.75, 1),
labels = c("0", "25", "50", "75", "100")) +
ggtitle("The Bechdel Test Over Time",
subtitle = "How women are represented in movies") +
scale_fill_manual(values = c("#ff2600", "#ff937f", "#ffcac0", "#6ab2d5", "#008fd5"),
labels = c("ok"="Passes Bechdel Test",
"Dubious"="Dubious",
"men"="Women only talk about men",
"notalk"="Women don't talk to each other",
"nowomen"="Fewer than two women"))
| Version | Author | Date |
|---|---|---|
| 4d5c860 | Nhi Hin | 2021-03-16 |
sessionInfo()R version 4.0.3 (2020-10-10)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Mojave 10.14.6
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRblas.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRlapack.dylib
locale:
[1] en_AU.UTF-8/en_AU.UTF-8/en_AU.UTF-8/C/en_AU.UTF-8/en_AU.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] scales_1.1.1 ggplot2_3.3.3 magrittr_2.0.1 dplyr_1.0.4
[5] tidytuesdayR_1.0.1 workflowr_1.6.2
loaded via a namespace (and not attached):
[1] tidyselect_1.1.0 xfun_0.21 purrr_0.3.4 colorspace_2.0-0
[5] vctrs_0.3.6 generics_0.1.0 htmltools_0.5.1.1 usethis_2.0.1
[9] yaml_2.2.1 utf8_1.1.4 rlang_0.4.10 later_1.1.0.1
[13] pillar_1.4.7 glue_1.4.2 withr_2.4.1 selectr_0.4-2
[17] readxl_1.3.1 lifecycle_0.2.0 stringr_1.4.0 munsell_0.5.0
[21] gtable_0.3.0 cellranger_1.1.0 rvest_0.3.6 evaluate_0.14
[25] forcats_0.5.1 labeling_0.4.2 knitr_1.31 httpuv_1.5.5
[29] curl_4.3 fansi_0.4.2 highr_0.8 Rcpp_1.0.6
[33] readr_1.4.0 promises_1.1.1 jsonlite_1.7.2 farver_2.0.3
[37] fs_1.5.0 hms_1.0.0 digest_0.6.27 stringi_1.5.3
[41] rprojroot_2.0.2 grid_4.0.3 cli_2.3.0 tools_4.0.3
[45] tibble_3.0.6 crayon_1.4.1 whisker_0.4 pkgconfig_2.0.3
[49] ellipsis_0.3.1 xml2_1.3.2 lubridate_1.7.9.2 assertthat_0.2.1
[53] rmarkdown_2.6 httr_1.4.2 rstudioapi_0.13 R6_2.5.0
[57] git2r_0.28.0 compiler_4.0.3