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books_2022_favorites.R
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books_2022_favorites.R
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# Books I Read in 2022
# Author: Jenn Schilling
# February 2023
#### Libraries ####
library(here)
library(tidyverse)
library(extrafont)
library(ggtext)
library(showtext)
library(janitor)
library(scales)
library(patchwork)
library(forcats)
library(ggfittext)
library(magick)
library(grid)
#### Data ####
books <- read_csv("2022_book_list.csv", lazy = FALSE) %>% clean_names()
books_edit <- books %>%
mutate(month_finished = factor(month_finished,
levels = c("January", "February", "March",
"April", "May", "June",
"July", "August", "September",
"October", "November", "December")),
genre = ifelse(genre == "Fiction", "General Fiction", genre)) %>%
group_by(month_finished) %>%
mutate(run_total_pages = cumsum(pages),
start = ifelse(row_number() == 1, 0 , lag(run_total_pages)),
index = factor(row_number())) %>%
ungroup()
#### Formatting ####
font_add_google(name = "Montserrat")
showtext_auto()
font <- "Montserrat"
title_font <- "Montserrat"
font_color <- "gray10"
bcolor <- "#DFDFDF"
theme_set(theme_minimal(base_size = 12, base_family = font))
theme_update(
panel.grid.minor = element_blank(),
panel.grid.major = element_blank(),
panel.background = element_rect(fill = bcolor, color = NA),
plot.background = element_rect(fill = bcolor, color = NA),
axis.title = element_text(size = 16, color = font_color),
axis.text = element_text(size = 14, color = font_color),
axis.ticks = element_line(color = font_color),
axis.line = element_line(color = font_color),
strip.text = element_text(size = 20, color = font_color, hjust = 0),
legend.text = element_text(size = 10, color = font_color),
legend.title = element_text(size = 10, color = font_color),
plot.title.position = "plot",
plot.title = element_markdown(size = 35, color = font_color, family = title_font, lineheight = 0.4),
plot.caption.position = "plot",
plot.caption = element_markdown(size = 14, color = font_color, hjust = 1)
)
genre_pal <- c("#418472", # data
"#3A4B5B", # fantasy
"#89B3A7", # general fiction
"#E48F7B", # historical fiction
"#A93343", # horror
"#2B409F", # memoir
"#698DA7", # mystery
"#828284", # nonfiction
"#C7453E", # poetry
"#D3ACB6", # romance
"#DF913E", # science fiction
"#486344") # short stories
#### Favorites by Month ####
fav_books_month <- books_edit |>
group_by(month_finished) |>
summarise(num_books_mon = n(),
num_fav_mon = sum(favorite == "Yes", na.rm = TRUE),
.groups = "drop") |>
mutate(perc_fav = num_fav_mon / num_books_mon,
perc_non_fav = 1 - perc_fav) |>
pivot_longer(perc_fav:perc_non_fav)
month_label <- fav_books_month |>
distinct(month_finished, num_books_mon) |>
mutate(month_label = paste(month_finished, "|",
num_books_mon, "books")) |>
arrange(fct_rev(month_finished)) |>
pull(month_label)
total_fav <- sum(books_edit$favorite == "Yes", na.rm = TRUE)
total_books <- nrow(books_edit)
ggplot(data = fav_books_month,
mapping = aes(y = fct_rev(month_finished),
x = value,
fill = fct_rev(name))) +
geom_col(position = "fill") +
geom_text(data = fav_books_month |> filter(month_finished == "January" & name == "perc_fav"),
mapping = aes(label = paste(percent(value, accuracy = 1), "favorites")),
color = "white",
family = font,
hjust = 1,
nudge_x = -0.01,
size = 6) +
scale_fill_manual(values = c(genre_pal[3], genre_pal[2]),
guide = "none") +
scale_x_continuous(labels = percent,
expand = expansion(mult = 0)) +
scale_y_discrete(labels = month_label) +
labs(x = "", y = "", fill = "",
title = paste('In 2022, I had', total_fav, '<b><span style="color:#3A4B5B">favorites</span></b> out of the',
total_books, 'books I<br>read.',
'In January and May more than half of the<br>books
I read were <b><span style="color:#3A4B5B">favorites</span></b>.'),
caption = "Schilling Data Studio | @schillingdata") +
theme(axis.ticks.y = element_blank(),
axis.line.y = element_blank(),
axis.text.y = element_text(size = 22),
axis.line.x = element_line(size = 0.1),
axis.ticks.x = element_line(size = 0.1),
plot.margin = margin(20, 15, 20, 12))
ggsave(filename = "fav_books_month.png",
width = 4,
height = 4)
#### Favorites by Genre ####
fav_books_genre <- books_edit |>
group_by(genre) |>
summarise(num_books_genre = n(),
num_fav_genre = sum(favorite == "Yes", na.rm = TRUE),
.groups = "drop") |>
mutate(perc_fav = num_fav_genre / num_books_genre,
perc_non_fav = 1 - perc_fav) |>
pivot_longer(perc_fav:perc_non_fav)
genre_label <- fav_books_genre |>
distinct(genre, num_books_genre) |>
mutate(genre_label = paste(genre, "|",
num_books_genre, "books")) |>
arrange(num_books_genre) |>
pull(genre_label)
total_fav <- sum(books_edit$favorite == "Yes", na.rm = TRUE)
total_books <- nrow(books_edit)
ggplot(data = fav_books_genre,
mapping = aes(y = reorder(genre, num_books_genre),
x = value,
fill = fct_rev(name))) +
geom_col(position = "fill") +
geom_text(data = fav_books_genre |> filter(genre == "General Fiction" & name == "perc_fav"),
mapping = aes(label = paste(percent(value, accuracy = 1), "favorites")),
color = "white",
family = font,
hjust = 1,
nudge_x = -0.01,
size = 6) +
scale_fill_manual(values = c(genre_pal[8], genre_pal[6]),
guide = "none") +
scale_x_continuous(labels = percent,
expand = expansion(mult = 0)) +
scale_y_discrete(labels = genre_label) +
labs(x = "", y = "", fill = "",
title = paste('In 2022, I had', total_fav, '<b><span style="color:#2B409F">favorites</span></b> out of the',
total_books, 'books I read.',
'<br>I read books from 12 different genres. When I read<br>science fiction, data,
short stories, and romance,<br>
more than half the books were <b><span style="color:#2B409F">favorites</span></b>.'),
caption = "Schilling Data Studio | @schillingdata") +
theme(axis.ticks.y = element_blank(),
axis.line.y = element_blank(),
axis.text.y = element_text(size = 22),
axis.line.x = element_line(size = 0.1),
axis.ticks.x = element_line(size = 0.1),
plot.title = element_markdown(size = 32),
plot.margin = margin(20, 15, 20, 12))
ggsave(filename = "fav_books_genre.png",
width = 4,
height = 4)