rename some columns to english

R/parse.R

@@ -39,7 +39,7 @@ read_all <- function(path="inst/records/") {
         select(-type) ->
         comments
     filter(commentsandapplause, type == "applause") %>%
-        select(-type, -kommentator, -content) %>%
+        select(-type, -commenter, -content) %>%
         mutate("CDU_CSU" = str_detect(fraction, "CDU/CSU"),
                "SPD" = str_detect(fraction, "SPD"),
                "FDP" = str_detect(fraction, "FDP"),
@@ -86,17 +86,17 @@ xml_get <- function(node, name) {
 parse_speaker <- function(speaker_xml) {
     speaker_id <- xml_attr(speaker_xml, "id")
     nm <- xml_child(speaker_xml)
-    vorname <- xml_get(nm, "vorname")
+    prename <- xml_get(nm, "vorname")
-    nachname <- xml_get(nm, "nachname")
+    lastname <- xml_get(nm, "nachname")
     fraction <- xml_get(nm, "fraktion")
-    titel <- xml_get(nm, "titel")
+    title <- xml_get(nm, "titel")
-    rolle <- xml_find_all(nm, "rolle")
+    role <- xml_find_all(nm, "rolle")
-    if (length(rolle) > 0) {
+    if (length(role) > 0) {
-        rolle_lang <- xml_get(rolle, "rolle_lang")
+        role_long <- xml_get(role, "rolle_lang")
-        rolle_kurz <- xml_get(rolle, "rolle_kurz")
+        role_short <- xml_get(role, "rolle_kurz")
-    } else rolle_kurz <- rolle_lang <- NA_character_
+    } else role_short <- role_long <- NA_character_
-    c(id = speaker_id, vorname = vorname, nachname = nachname, fraction = fraction, titel = titel,
+    c(id = speaker_id, prename = prename, lastname = lastname, fraction = fraction, title = title,
-      rolle_kurz = rolle_kurz, rolle_lang = rolle_lang)
+      role_short = role_short, role_long = role_long)
 }
 
 # parse one speech
@@ -165,10 +165,10 @@ parse_comment <- function(comment, speech_id, on_speaker) {
             sapply(partial(flip(head), 1) %.% agrep, x=fractionnames, max=0.2, value=T) %>%
             str_c(collapse=",") ->
             by
-        c(base, type = "applause", fraction = by, kommentator = NA_character_, content = comment)
+        c(base, type = "applause", fraction = by, commenter = NA_character_, content = comment)
     } else {
         ps <- str_match(comment, "(.*) \\[(.*?)\\]: (.*)")[1,]
-        c(base, type = "comment", fraction = ps[3], kommentator = ps[2], content = ps[4])
+        c(base, type = "comment", fraction = ps[3], commenter = ps[2], content = ps[4])
     }
 }
 
@@ -187,7 +187,7 @@ parse_speechlist <- function(speechlist_xml, date) {
                            on_speaker = comments["on_speaker",],
                            type = comments["type",],
                            fraction = comments["fraction",],
-                           kommentator = comments["kommentator",],
+                           commenter = comments["commenter",],
                            content = comments["content", ]))
 }
 
@@ -195,12 +195,12 @@ parse_speechlist <- function(speechlist_xml, date) {
 parse_speakerlist <- function(speakerliste_xml) {
     d <- sapply(speakerliste_xml, parse_speaker)
     tibble(id = d["id",],
-           vorname = d["vorname",],
+           prename = d["prename",],
-           nachname = d["nachname",],
+           lastname = d["lastname",],
            fraction = d["fraction",],
-           titel = d["titel",],
+           title = d["title",],
-           rolle_kurz = d["rolle_kurz",],
+           role_short = d["role_short",],
-           rolle_lang = d["rolle_lang",])
+           role_long = d["role_long",])
 }
 
 #' Write the parsed and repaired results into separate csv files

R/repair.R

@@ -29,15 +29,13 @@ repair_speaker <- function(speaker) {
         filter(id != "10000") %>% # invalid id's
         mutate(fraction = Vectorize(repair_fraction)(fraction)) %>% # fix fraction
         group_by(id) %>%
-        summarize(vorname = head(vorname, 1),
+        summarize(prename = head(prename, 1),
-                  nachname = head(nachname, 1),
+                  lastname = head(lastname, 1),
                   fraction = collect_unique(fraction),
-                  titel = longest_titel(titel),
+                  title = longest_titel(title),
-                  rolle_kurz = collect_unique(str_squish(rolle_kurz)),
+                  role_short = collect_unique(str_squish(role_short)),
-                  rolle_lang = collect_unique(str_squish(rolle_lang))) %>%
+                  role_long = collect_unique(str_squish(role_long))) %>%
         ungroup() #%>%
-        # arrange(id) %>%
-        # distinct(vorname, nachname, fraction, titel)
 }
 
 repair_speeches <- function(speeches) {
@@ -68,7 +66,7 @@ repair_talks <- function(talks) {
 lookup_speaker <- function(tb, speaker, name_variable) {
     tobereplaced <- "[-–—‑­­-­­­ ]"
     speaker %>%
-        unite(name, vorname, nachname, sep=".*") %>%
+        unite(name, prename, lastname, sep=".*") %>%
         mutate(name = str_replace_all(name, tobereplaced, ".*")) ->
         rs
     find_match <- function(komm) {
@@ -88,10 +86,10 @@ repair_comments <- function(comments, speaker) {
                "Use repair(, repair_commments = FALSE) to skip this.\n"))
     # try to find a speaker id for each actual comment
     comments %>%
-        filter(!is.na(kommentator)) %>%
+        filter(!is.na(commenter)) %>%
-        lookup_speaker(speaker, kommentator) %>%
+        lookup_speaker(speaker, commenter) %>%
-        left_join(comments, ., by="kommentator") %>%
+        left_join(comments, ., by="commenter") %>%
-        select(-kommentator)
+        select(-commenter)
 }
 
 #' Repair parsed tables

inst/reports/implementierung.tex

@@ -99,7 +99,7 @@ Funktion: \lstinline{fetch_all(download_dir)}
     \begin{lstlisting}[language=R,basicstyle=\tiny\ttfamily]
 > res$comments
 # A tibble: 83,649 x 5
-  speech_id  on_speaker fraction      commentator     content
+  speech_id  on_speaker fraction      commenter       content
   <chr>      <chr>      <chr>         <chr>           <chr>
 1 ID19100300 11003218   BUENDNIS 90/D Katrin Goering  Was?
 2 ID19100300 11003218   CDU/CSU       Volker Kauder   Warum habt ihr das bei Ge