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@ -60,17 +60,25 @@ tbl(con, "FT_Refund") %>%
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facet_grid(sale ~ year)
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tbl(con, "FT_Registration") %>%
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registration_decades <- tbl(con, "FT_Registration") %>%
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inner_join(time, by = c("submission_date_fk" = "time_sk")) %>%
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inner_join(status, by = c("claim_status_fk" = "claim_status_sk")) %>%
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mutate(decade = floor(year / 10) * 10, got_answer = status_code_bk != "W") %>%
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filter(decade < 2020, decade >= 1980)
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with_grouping_by_answer <- registration_decades %>%
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group_by(decade) %>%
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summarize(how_many = sum(cnt))
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registration_decades %>%
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group_by(decade, got_answer) %>%
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summarize(how_many = sum(cnt)) %>%
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filter(how_many > 0, decade < 2020, decade >= 1980) %>%
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filter(how_many > 0) %>%
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ggplot(aes(decade, how_many, fill = got_answer)) +
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geom_bar(stat = "identity") +
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geom_label(aes(label=how_many)) +
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geom_text(stat = "count", y = 5000, aes(label = ..count..))
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geom_label(aes(label = how_many)) +
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geom_label(data = with_grouping_by_answer, aes(y = how_many, label = how_many, fill = NULL))
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