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anyway) + top_n(10) %>% # Get the top 10 queries for each term-day pair + group_by(query) %>% # Group by again, this time for each query + summarize(appearances = n()) %>% # Count how often this query appears in the top 10 (which is how many Google displays) + arrange(-appearances) %>% # Sort by appearances + top_n(10) %>% # And get the top 10 queries + ggplot(aes(x=reorder(query, appearances), y=appearances)) + # Plot the number of appearances, ordered by appearances + geom_bar(stat = 'identity') + # Tell R that we want to use the values of `appearances` as the counts + coord_flip() + # Flip the plot + xlab("Query") + + ylab("Number of appearances in top 10 suggested queries") + + theme_minimal() # And make it minimal + +ggsave('./output/top_queries_plot.png', plot) \ No newline at end of file -- 2.39.5