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library(tidyverse) | |
library(patchwork) | |
library(ggtext) | |
team_colors <- nflfastR::teams_colors_logos %>% filter(team_abbr == "TEN") %>% | |
select(team_color, team_color2) %>% | |
unlist() | |
# fake data | |
run_df <- tibble( | |
down_distance = c( | |
"1st & 10", | |
"2nd & 8+", | |
"2nd & 3-7", | |
"2nd & 1-2", | |
"3rd & 3+", | |
"3rd & 1-2", | |
"After pass for 1st", | |
"After rush for 1st", | |
"All plays" | |
), | |
actual = c( | |
38, 57, 63, 36, 89, 50, 39, 41, 54 | |
), | |
expected = c( | |
56, 72, 66, 39, 92, 54, 54, 57, 64 | |
) | |
) %>% | |
mutate( | |
down_distance = factor(down_distance), | |
difference = actual - expected, | |
diff_color = if_else(difference < 0, "#DC143C", "black") | |
) | |
run_plot <- run_df %>% | |
ggplot(aes(x = actual, y = fct_rev(down_distance))) + | |
geom_text( | |
aes(x = 100, label = paste0(difference, "%"), color = diff_color), | |
nudge_x = 10, hjust = 1, fontface= "bold", family = "Chivo", size = 10 | |
) + | |
geom_col(aes(x = 100), width = 0.7, color = "grey", alpha = 0.2) + | |
geom_col(aes(x = expected), fill = team_colors[1], alpha = 0.5, width = 0.7) + | |
geom_col(width = 0.4, fill = team_colors[2]) + | |
scale_fill_identity() + | |
scale_x_continuous(breaks = c(25, 50, 75), labels = scales::percent_format(scale = 1)) + | |
theme_minimal() + | |
theme( | |
text = element_text(family = "Chivo"), | |
panel.grid.major.y = element_blank(), | |
panel.grid.minor = element_blank(), | |
panel.grid.major.x = element_line(color = "grey", size = 0.2), | |
panel.ontop = TRUE, | |
axis.text.y = element_markdown(size = 14, margin = margin(r = -25, unit = "pt")), | |
axis.text.x = element_text(size = 16, color = "grey"), | |
plot.title = element_markdown(size = 36, face = "bold"), | |
plot.subtitle = element_text(size = 24), | |
plot.margin = unit(c(0.5, 1.5, 0.5, 1.5), "cm"), | |
legend.position = "none" | |
) + | |
labs( | |
x = "", y = "", | |
title = glue::glue("Titans <span style='color:{team_colors[2]}'>Pass Frequency</span> over <span style='color:{team_colors[1]}'>Expected</span>, 2020") | |
) | |
# Legend plot ------------------------------------------------------------- | |
label_df <- tibble( | |
x = c(15, 15, 77, 101), | |
y = c(1.6, 0.35, 0.35, 1), | |
label = c("Expected Pass Frequency ", "Actual Pass Frequency ", "Difference", "X%") | |
) | |
seg_df <- tibble( | |
x1 = c(0.2, 90, 0.2, 74.8, 75.3, 90, 103), | |
x2 = c(0.2, 90, 0.2, 74.8, 75.3, 90, 103), | |
y1 = c(1.3, 1.3, rep(.7, 5)), | |
y2 = c(1.61, 1.61, rep(.343, 5)) | |
) | |
seg2_df <- tibble( | |
x1 = c(0.2, 0.2, 75.3), | |
x2 = c(90, 74.8, 103), | |
y1 = c(1.6, .35, .35), | |
y2 = c(1.6, .35, .35) | |
) | |
legend_plot <- tibble( | |
x = 75, | |
y = factor("Y"), | |
x2 = 90 | |
) %>% | |
ggplot(aes(x = x, y = y)) + | |
geom_col(aes(x = 100), fill = "white", color = "grey", width = 0.4) + | |
geom_col(aes(x = x2), width = 0.4, fill = "black", alpha = 0.5) + | |
geom_col(width = 0.2, color = "black", fill = "black") + | |
geom_segment( | |
data = seg_df, | |
aes(x = x1, y = y1, xend = x2, yend = y2), | |
color = c(rep("black", 4), rep("#DC143C", 3)), | |
size = 1 | |
) + | |
geom_segment( | |
data = seg2_df, | |
aes(x = x1, y = y1, xend = x2, yend = y2), | |
color = c("black", "black", "#DC143C"), | |
size = 1 | |
) + | |
geom_label( | |
data = label_df, | |
aes(x = x, y = y, label = label), | |
hjust = 0, size = 8, fontface = "bold", fill = "white", | |
color = c("black", "black", "#DC143C", "#DC143C"), | |
label.size = NA, | |
family = "Oswald", | |
label.padding = unit(0.05, "lines"), | |
) + | |
theme_void() + | |
theme( | |
plot.margin = unit(c(0.5, 1.5, 0.5, 1.5), "cm"), | |
plot.caption = element_markdown(size = 14) | |
) + | |
coord_cartesian(ylim = c(0.7, 1.2), xlim = c(0, 108)) + | |
labs( | |
caption = "<br><br>**Plot**: @thomas_mock | **Inspiration**: @bburkeESPN" | |
) | |
legend_plot | |
combo_plot <- run_plot / legend_plot + plot_layout(heights = c(5,1)) | |
combo_plot | |
ggsave("ten_rush.png", combo_plot, height = 14, width = 16, units = "in", dpi = "retina") | |
# https://git.io/JkNfu |
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