Du Bois analysis
Nhi Hin
2021-02-23
Last updated: 2021-12-06
Checks: 7 0
Knit directory: TidyTuesday/
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| File | Version | Author | Date | Message |
|---|---|---|---|---|
| html | 2144705 | Nhi Hin | 2021-03-16 | Build site. |
| html | 8c00d4d | Nhi Hin | 2021-03-02 | Build site. |
| Rmd | f129b00 | Nhi Hin | 2021-03-02 | wflow_publish(c(“analysis/index.Rmd”, “analysis/du_bois.Rmd”, |
https://github.com/rfordatascience/tidytuesday/blob/master/data/2021/2021-02-16/readme.md
Import data
# Github limit exceeded
# tuesdata <- tidytuesdayR::tt_load(2021, week = 8)
# Import spreadsheets in manually
georgia_pop <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2021/2021-02-16/georgia_pop.csv')
── Column specification ────────────────────────────────────────────────────────
cols(
Year = col_double(),
Colored = col_double(),
White = col_double()
)census <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2021/2021-02-16/census.csv')
── Column specification ────────────────────────────────────────────────────────
cols(
region = col_character(),
division = col_character(),
year = col_double(),
total = col_double(),
white = col_double(),
black = col_double(),
black_free = col_double(),
black_slaves = col_double()
)furniture <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2021/2021-02-16/furniture.csv')
── Column specification ────────────────────────────────────────────────────────
cols(
Year = col_double(),
`Houshold Value (Dollars)` = col_double()
)city_rural <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2021/2021-02-16/city_rural.csv')
── Column specification ────────────────────────────────────────────────────────
cols(
Category = col_character(),
Population = col_double()
)income <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2021/2021-02-16/income.csv')
── Column specification ────────────────────────────────────────────────────────
cols(
Class = col_character(),
`Actual Average` = col_double(),
Rent = col_double(),
Food = col_double(),
Clothes = col_double(),
Tax = col_double(),
Other = col_double()
)Warning: 1 parsing failure.
row col expected actual file
1 -- 7 columns 6 columns 'https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2021/2021-02-16/income.csv'freed_slaves <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2021/2021-02-16/freed_slaves.csv')
── Column specification ────────────────────────────────────────────────────────
cols(
Year = col_double(),
Slave = col_double(),
Free = col_double()
)occupation <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2021/2021-02-16/occupation.csv')
── Column specification ────────────────────────────────────────────────────────
cols(
Group = col_character(),
Occupation = col_character(),
Percentage = col_double()
)conjugal <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2021/2021-02-16/conjugal.csv')
── Column specification ────────────────────────────────────────────────────────
cols(
Population = col_character(),
Age = col_character(),
Single = col_double(),
Married = col_double(),
`Divorced and Widowed` = col_double()
)Occupation
occupation %<>% mutate(Percentage = case_when(
Group == "Negroes" ~ Percentage * -1,
Group == "Whites" ~ Percentage
))
ggplot(occupation, aes(x = Occupation))+
geom_bar(data = occupation[occupation$Group=="Negroes",],
aes(y = Percentage, fill = Group), stat="identity") +
geom_bar(data = occupation[occupation$Group=="Whites",],
aes(y = Percentage, fill = Group), stat="identity") +
geom_hline(yintercept=0, colour="white", lwd=1) +
theme_minimal()+
coord_flip(ylim=c(-100,100)) +
labs(y="Percent", x="Country") +
ggtitle("Negroes Whites") 
| Version | Author | Date |
|---|---|---|
| 8c00d4d | Nhi Hin | 2021-03-02 |
Conjugal Condition
conjugal %>%
melt(measure.vars = c("Single", "Married", "Divorced and Widowed")) %>%
dplyr::rename(Conjugal_Condition = variable,
Percentage = value) %>%
ggplot(aes(x = forcats::fct_rev(Population),
y = Percentage,
label = Percentage,
fill = forcats::fct_rev(Conjugal_Condition))) +
geom_bar(stat = "identity",
#show.legend = FALSE
) +
coord_flip() +
facet_wrap(~Age,
ncol=1,
strip.position = "left") +
scale_fill_manual(values = c("#40644c", "#f0a800", "#d4123c" ))+
theme(panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
strip.placement = 'outside',
rect = element_rect(fill = "transparent"),
legend.position = "top") +
labs(fill = "Conjugal Condition",
y = "Percentage (%)", x = "Population") +
geom_text(size = 3,
position = position_stack(vjust = 0.5),
color = "white") 
| Version | Author | Date |
|---|---|---|
| 8c00d4d | Nhi Hin | 2021-03-02 |
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] LaCroixColoR_0.1.0 ggplot2_3.3.3 readr_1.4.0 magrittr_2.0.1
[5] reshape2_1.4.4 dplyr_1.0.5 workflowr_1.6.2
loaded via a namespace (and not attached):
[1] tidyselect_1.1.0 xfun_0.23 bslib_0.2.4 purrr_0.3.4
[5] colorspace_2.0-0 vctrs_0.3.7 generics_0.1.0 htmltools_0.5.1.1
[9] yaml_2.2.1 utf8_1.1.4 rlang_0.4.10 jquerylib_0.1.3
[13] later_1.1.0.1 pillar_1.6.0 glue_1.4.2 withr_2.3.0
[17] DBI_1.1.0 lifecycle_1.0.0 plyr_1.8.6 stringr_1.4.0
[21] munsell_0.5.0 gtable_0.3.0 evaluate_0.14 forcats_0.5.1
[25] labeling_0.4.2 knitr_1.30 httpuv_1.5.4 curl_4.3
[29] fansi_0.4.1 Rcpp_1.0.5 promises_1.1.1 scales_1.1.1
[33] jsonlite_1.7.2 farver_2.0.3 fs_1.5.0 hms_1.0.0
[37] digest_0.6.27 stringi_1.5.3 rprojroot_2.0.2 grid_4.0.3
[41] cli_3.0.1 tools_4.0.3 sass_0.3.1 tibble_3.1.1
[45] crayon_1.4.1 whisker_0.4 pkgconfig_2.0.3 ellipsis_0.3.1
[49] assertthat_0.2.1 rmarkdown_2.8 rstudioapi_0.13 R6_2.5.0
[53] git2r_0.27.1 compiler_4.0.3