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Copy pathpatchwork - TidyTuesday - 8-6-2020.R
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patchwork - TidyTuesday - 8-6-2020.R
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# Upload the data ---------------------------------------------------------
firsts <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-06-09/firsts.csv')
# Load the packages -------------------------------------------------------
pacman::p_load(readxl, lubridate, tidyverse, ggplot2, hrbrthemes, ggfittext,htmltools,reactable,patchwork, markdown)
# Prepare the data --------------------------------------------------------
datafirsts<-firsts%>% group_by(category, gender)%>%
summarize(total=n())
datafirsts2<-datafirsts %>%
mutate(percentage=total/sum(total),
pcnt=round(percentage*100, 2),
yaxismax=cumsum(percentage),
yaxismin = c(0, head(yaxismax, n=-1)),
label_position = (yaxismax+yaxismin)/2,
label = if_else(pcnt >= 50,
paste0(pcnt, "%"),
NA_character_)
)
# Graph -------------------------------------------------------------------
gender_datafirsts2<-ggplot(datafirsts2, aes(ymax=yaxismax, ymin=yaxismin, xmax=4, xmin=3, fill=gender)) +
geom_rect(alpha=0.5) +
geom_text(aes(label = label, x = 1, y = 0),
color = "#cdaa25", fontface = "bold", family = "Arial",
size=2.8) +
coord_polar(theta="y") +
xlim(c(1, 5))+
theme_void() +
scale_fill_manual(breaks=c("African-American Firsts","Female African American Firsts"),values=c("#CDAA25", "#43a07e")) +
facet_wrap(~ category,
nrow = 2) +
theme(
plot.title = element_text(margin = margin(b = 8),
color = "#22222b",face = "bold",size = 14,
hjust = 0.5,
family = "Arial"),
plot.subtitle = element_text(margin = margin(t=10,b = 25),
color = "#22222b", size = 9, family = "Arial",
hjust = 0.5),
plot.caption = element_text(margin = margin(t = 20),
color = "#22222b", size = 10, family = "Arial",
hjust = 0.95),
axis.title.x =element_blank(),
axis.title.y = element_blank(),
legend.title = element_blank(),
legend.position="bottom",
axis.text.x = element_blank(),
axis.text.y = element_blank(),
panel.background = element_blank(),
panel.grid.major = element_blank(),
panel.grid.major.y = element_blank(),
panel.grid.minor = element_blank(),
axis.ticks = element_blank()
)
gender_datafirsts2
# Bar charts --------------------------------------------------------------
datafirsts4<-firsts%>% group_by(category, gender)%>%
summarize(total=n())
gdatafirsts4<-datafirsts4%>% ggplot(aes(x=reorder(category,total), y=total)) +
geom_bar(stat="identity", fill=c("#CDAA25", "#CDAA25","#CDAA25","#CDAA25","#CDAA25","#CDAA25","#CDAA25","#CDAA25",
"#43a07e","#43a07e","#43a07e","#43a07e","#43a07e","#43a07e","#43a07e","#43a07e"), width=0.6,
alpha=0.5) +
coord_flip() +
facet_wrap(~gender, ncol=4) +
geom_text(aes(label=total),hjust=-0.5,
color = c("#CDAA25","#43a07e","#CDAA25", "#43a07e","#CDAA25","#43a07e","#CDAA25",
"#43a07e","#CDAA25","#43a07e","#CDAA25","#43a07e","#CDAA25","#43a07e","#CDAA25","#43a07e")) +
theme(
plot.title = element_text(margin = margin(b = 8),
color = "#22222b",face = "bold",size = 14,
hjust = 0.5,
family = "Arial"),
plot.subtitle = element_text(margin = margin(t=10,b = 25),
color = "#22222b", size = 9, family = "Arial",
hjust = 0.5),
plot.caption = element_text(margin = margin(t = 20),
color = "#22222b", size = 10, family = "Arial",
hjust = 0.95),
axis.title.x = element_text(margin = margin(t = 10),
color = "#22222b"),
axis.title.y = element_text(margin = margin(r = 15),
color = "#22222b"),
legend.position = "none",
strip.background = element_blank(),
strip.text.x = element_blank(),
axis.text.x = element_blank(),
axis.text.y = element_text(color = "#22222b"),
legend.title = element_blank(),
panel.background = element_blank(),
panel.grid.major = element_blank(),
panel.grid.major.y = element_blank(),
panel.grid.minor = element_blank(),
axis.ticks = element_blank()
) +
ylim(0,100) +
ylab("") +
xlab("")
gdatafirsts4
# Patchwork ---------------------------------------------------------------
patchworkgdatafirsts5<-cowplot::plot_grid(gdatafirsts4, gender_datafirsts2, ncol = 2,align = "v")
PW962020 <- patchworkgdatafirsts5 + plot_annotation(title = "African American Achievements",
subtitle = "Total number of achievements and percentange by gender in each category",
caption = "\n Source: TidyTuesday
Visualization: JuanmaMN (Twitter @Juanma_MN)",
theme = theme(plot.title = element_text(margin = margin(t=15,b = 8),
color = "#000000",face = "bold",size = 12,
hjust = 0.5,
family = "Arial"),
plot.subtitle = element_text(margin = margin(t=10, b = 25),
color = "#000000", size = 10, family = "Arial",
hjust = 0.5),
plot.caption = element_text(margin = margin(t = 20, b = 10),
color = "#000000", size = 8, family = "Arial",
hjust = 0.95)))
PW962020