Created
November 28, 2023 11:59
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Quick inspection and vis of Dr. Who dataset for TidyTuesday 2023-11-28
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# load packages | |
library(tidyverse) | |
library(tidytuesdayR) # Used for loading datasets from the TidyTuesday project | |
# load datasets | |
tuesdata <- tidytuesdayR::tt_load('2023-11-28') | |
drwho_episodes <- tuesdata$drwho_episodes | |
drwho_directors <- tuesdata$drwho_directors | |
drwho_writers <- tuesdata$drwho_writers | |
# Initialize the correlations data frame | |
correlations <- data.frame(lag = integer(), correlation = numeric()) | |
# Calculate correlation for 0 lag | |
corr_0_lag <- cor(drwho_episodes$uk_viewers, drwho_episodes$rating, use="complete.obs") | |
correlations <- rbind(correlations, data.frame(lag = 0, correlation = corr_0_lag)) | |
# Calculate correlations for lags 1 through 4 | |
for (i in 1:4) { | |
lag_var <- paste0("rating_lag", i) | |
drwho_episodes[[lag_var]] <- lag(drwho_episodes$rating, i) | |
corr <- cor(drwho_episodes$uk_viewers, drwho_episodes[[lag_var]], use="complete.obs") | |
correlations <- rbind(correlations, data.frame(lag = i, correlation = corr)) | |
} | |
# Join with writers dataset to analyze average viewership by writer | |
drwho_episodes <- left_join(drwho_episodes, drwho_writers, by="story_number") | |
drwho_episodes %>% | |
group_by(writer) %>% | |
summarise(avg_viewers = mean(uk_viewers, na.rm = TRUE)) %>% | |
arrange(desc(avg_viewers)) | |
# Investigating how the previous week's writer influences current week's viewership | |
drwho_episodes$writer_lag1 <- lag(drwho_episodes$writer, 1) | |
drwho_episodes %>% | |
filter(!is.na(writer_lag1)) %>% | |
group_by(writer_lag1) %>% | |
summarise(avg_viewers = mean(uk_viewers, na.rm = TRUE)) %>% | |
arrange(desc(avg_viewers)) | |
# Add a column for color | |
correlations$color <- ifelse(correlations$lag == 1, "darkblue", "lightblue") | |
# Plot the correlations with conditional coloring | |
ggplot(correlations, aes(x = lag, y = correlation, fill = color)) + | |
geom_bar(stat = "identity", show.legend = FALSE) + | |
scale_fill_manual(values = c("darkblue", "steelblue")) + | |
labs(title = "#TidyTuesday: Dr. Who's Viewership", | |
subtitle = "Correlation of UK Viewers with Current/Lagged Ratings", | |
x = "Lag (ie. prior week's rating)", | |
y = "Correlation") + | |
theme_minimal() |
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