Art history data

Looking at making slopes for the #30DayCahrtChallenge 2023 - day 5

library(tidyverse)
tuesdata <- tidytuesdayR::tt_load(2023, week = 03)

artists <- tuesdata$artists
artists%>%head

artists%>%DataExplorer::profile_missing()%>%arrange(-pct_missing)

413 Artistis,

ggplot(artists)+
  geom_point(aes(x = artist_unique_id,y=artist_nationality))+
  facet_wrap(~artist_race)

ggplot(artists,aes(x = year, y = space_ratio_per_page_total, group = artist_unique_id)) +
  geom_line()+
  facet_wrap(~artist_gender)

artists %>%
  filter(artist_gender=="Female") %>%
ggplot(aes(x = year, y = space_ratio_per_page_total, group = artist_unique_id)) +
  geom_line()+
  facet_wrap(~artist_nationality)

artists %>%
  filter(artist_gender=="Female",
         artist_nationality=="French",
         artist_race=="White") %>%
ggplot(aes(x = year, y = space_ratio_per_page_total, group = artist_unique_id)) +
  geom_line()+
  facet_wrap(~book)

Giorgio de Chirico space_ratio_per_page_total along the time.

artists%>%
  filter(artist_name=="Giorgio de Chirico") %>%
  ggplot(
       aes(x = year, y = space_ratio_per_page_total, group = artist_unique_id)) +
  geom_point()+
  geom_smooth(method = "lm")
  geom_abline(slope=-0.000050,intercept = mean(artists$space_ratio_per_page_total))

ggplot(artists,
       aes(x = year, y = space_ratio_per_page_total, group = artist_unique_id)) +
  geom_line()+
  facet_wrap(vars(artist_nationality))

artists%>%
  filter(artist_nationality=="Italian")%>%#count(year)
  mutate(year=as.integer(year)) %>%
ggplot(
       aes(x = year, y = space_ratio_per_page_total, 
           group = artist_name,
           fill=artist_name,
           color=artist_name,
           label=artist_name)) +
  geom_point(shape=21,
             stroke=0.5,
             alpha=0.5,
             show.legend = FALSE)+
  geomtextpath::geom_textsmooth(method = "lm",
                                se=FALSE,
                                family="Roboto Condensed",
                                show.legend = FALSE)+
  scale_color_viridis_d()+
  scale_x_continuous(limits = c(1945,2035),n.breaks = 5,expand = c(0,0))+
  facet_wrap(~book,scales = "free") +
  labs(y="Space Ratio per Page Total",
       x="Year",
       title="Male Italian Artists",
       subtitle="how much space their work took up in each textbook",
       caption = "DataSource: #TidyTuesday 2023 week3 Art history\nDataViz: Federica Gazzelloni #30DayChartChallenge 2023 Day5 - slope\n")+
  hrbrthemes::theme_ipsum_rc(plot_title_size = 28,
                             caption_face = "bold",
                             caption_family = "Roboto Condensed",
                             base_family = "Roboto Condensed"
                              )+
    theme(strip.background = element_blank(),
          strip.placement = "outside",
          strip.clip = "off",
          strip.text = element_text(hjust=0.5,size=20),
          plot.margin = unit(c(5,10,5,5),units = "pt"))

ggsave("w3_Arhd.png",
       bg="white",
       width = 9,height = 5)