Generelles Zahlenmatching auf Jahrmatching geändert.
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52ed5e8984
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2 changed files with 23 additions and 15 deletions
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@ -6,6 +6,7 @@ library("stringi")
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library("SPARQL")
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library("stringr")
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library("tictoc")
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library("rlang")
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source("../sparql.R")
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@ -63,17 +64,19 @@ for (spalte_excel in SPALTEN[1]:SPALTEN[length(SPALTEN)]) {
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}
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excel_search_all <- unlist(strsplit(gsub("[^[:alnum:] ]", "", current_excel), " +"))
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excel_search_numbers <- str_extract_all(current_excel, "\\(?[0-9]+\\)?")
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excel_search_numbers <- unlist(str_extract_all(current_excel, "(?:19|20)\\d{2}"))
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for (zeile_db in 1:nrow(inDB[, INHALTE_DB])) {
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current_db <- tolower(inDB[zeile_db,INHALTE_DB])
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db_search_all <- unlist(strsplit(gsub("[^[:alnum:] ]", "", current_db), " +"))
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db_search_numbers <- str_extract_all(current_db, "\\(?[0-9]+\\)?")
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db_search_numbers <- unlist(str_extract_all(current_db, "(?:19|20)\\d{2}"))
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count_all <- 0
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count_numbers <- 0
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percent_match_numbers <- 0.1
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for (k in 1:length(excel_search_all)) {
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if (excel_search_all[k] %in% db_search_all) {
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@ -82,21 +85,24 @@ for (spalte_excel in SPALTEN[1]:SPALTEN[length(SPALTEN)]) {
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}
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}
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if ((length(db_search_numbers) > 0) && (length(excel_search_numbers) > 0)) {
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for (l in 1:length(excel_search_numbers)) {
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if (excel_search_numbers[l] %in% db_search_numbers) {
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count_numbers <- count_numbers + 1
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}
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}
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}
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percent_match_all <- count_all / length(excel_search_all)
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if (length(excel_search_numbers) > 0) {
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percent_match_numbers <- count_numbers / length(excel_search_numbers)
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}
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if ((percent_match_all > 0.80) && (percent_match_numbers > 0.99)) {
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to_replace_done[zeile_excel, spalte_excel] <- str_remove_all(inDB[zeile_db,ID], "[<>]")
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}
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}
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@ -107,6 +113,5 @@ for (spalte_excel in SPALTEN[1]:SPALTEN[length(SPALTEN)]) {
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toc()
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pfad_output <- paste(PFAD_EXCEL, "replaced_" , FILENAME_EXCEL, sep="")
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write_xlsx(to_replace_done, pfad_output)
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@ -20,24 +20,27 @@ for (file in 1:length(file_list)) {
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#select the bibliographicCitation columns in all tables
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for(i in 1:length(my_table)) {
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df_all <- data.frame(my_table[[i]])
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for(spalte in 1:length(my_table)) {
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df_all <- data.frame(my_table[[spalte]])
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Names <- colnames(my_table[[i]])
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Names <- colnames(my_table[[spalte]])
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Names <- Names[grepl("^bibliographicCitation", Names)]
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temp <- data.frame()
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for (j in 1:length(Names)) {
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#omit empty rows
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df_temp <- na.omit(df_all[Names[j]])
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#rename columns
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colnames(df_temp) <- (c('bibliographicCitation'))
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#create a big dataframe
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temp <- rbind(temp, df_temp)
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}
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my_table[[i]] <- temp
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my_table[[spalte]] <- temp
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}
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#combine all the columns of all tables into one
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