Fix error handling in scrape.
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618ac4eff7
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@ -8,7 +8,7 @@ date_vec <- seq(as.Date("2004-11-29"), as.Date("2024-07-22"), by="days")
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date_vec <- sample(date_vec)
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dvbackup <- date_vec
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date_vec <- date_vec[1177:7176]
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date_vec <- date_vec[1687:7176]
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ae7q_list <- list()
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for(i in 1:length(date_vec)){
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@ -38,7 +38,11 @@ for(i in 1:length(date_vec)){
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ae7q_table_new <- ae7q_new_tables[[right_table_id]]
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ae7q_list[[i]] <- ae7q_table_new %>% mutate(across(everything(), ~na_if(., "\""))) %>%
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ae7q_list[[i]] <- ae7q_table_new %>%
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#mutate(across(everything(), ~na_if(., "\""))) %>%
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mutate(across(everything(),
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~ case_when(. == "\"" ~ NA,
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TRUE ~ .))) %>%
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fill(everything()) %>%
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group_by(`Action Type`) %>%
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summarize(count = n(), .groups = "keep") %>%
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@ -58,9 +62,10 @@ for(i in 1:length(date_vec)){
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# Combine all the data and sort by date
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a <- bind_rows(ae7q_list) %>%
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arrange(date)
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arrange(date) %>%
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filter(!is.na(date))
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write.csv(a, "out/ae7q-actions-scraped.csv", row.names = F)
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write.csv(a, "out/ae7q-actions-scraped03.csv", row.names = F)
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