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Andreas Gammelgaard Damsbo 2025-10-31 12:02:43 +01:00
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app_docker/translations/translation_da.csv
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@ -49,7 +49,6 @@
"Column added!","Variabel oprettet!"
"Unique values:","Unikke værdier:"
"Variable to cut:","Variabel, der skal deles:"
"Number of breaks:","Antal niveauer:"
"Close intervals on the right","Luk intervaller til højre"
"Include lowest value","Inkluderer den laveste værdi"
"Create factor variable","Opret kategorisk variabel"
@ -255,20 +254,40 @@
"Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything.","Vælg et navn til den nye variabel, skriv din formel og tryk så på knappen for at gemme variablen, eller annuler for at lukke uden at gemme."
"Please fill in web address and API token, then press 'Connect'.","Udfyld serveradresse og API-nøgle, og tryk så 'Fobind'."
"Other","Other"
"Hour of the day","Hour of the day"
"Breaks","Breaks"
"By day of the week","By day of the week"
"By weekday","By weekday"
"By week number and year","By week number and year"
"By month and year","By month and year"
"By month only","By month only"
"By quarter of the year","By quarter of the year"
"By year","By year"
"Keep only most common","Keep only most common"
"Number","Number"
"Combine below percentage","Combine below percentage"
"Percentage","Percentage"
"By specified numbers","By specified numbers"
"By quantiles (groups of equal size)","By quantiles (groups of equal size)"
"By week number","By week number"
"There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data.","There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data."
"Hour of the day","Time på dagen"
"Breaks","Grupper"
"By day of the week","Efter ugedag"
"By weekday","Efter ugedag"
"By week number and year","Efter ugenummer og årstal"
"By month and year","Efter måned og årstal"
"By month only","Efter måned alene"
"By quarter of the year","Efter kvartal"
"By year","Efter år"
"Keep only most common","Behold kun de hyppigste"
"Number","Antal"
"Combine below percentage","Kombiner under procentsats"
"Percentage","Procentsats"
"By specified numbers","Efter specifikke værdier"
"By quantiles (groups of equal size)","I grupper af samme størrelse"
"By week number","Efter ugenummer alene"
"There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data.","Der er mere avancerede muligheder for at ændre kategoriske variable, oprette nye kategoriske variabler fra eksisterende data eller nye variable baseret på R-kode. Nederst kan du gendanne originale data."
"Split the variable","Split the variable"
"Original data","Original data"
"Preview of result","Preview of result"
"No character variables with accepted delimiters detected.","No character variables with accepted delimiters detected."
"Variable to split:","Variable to split:"
"Text or character to split string by","Text or character to split string by"
"Select delimiter","Select delimiter"
"Direction:","Direction:"
"Split string to multiple columns. Keep number of rows.","Split string to multiple columns. Keep number of rows."
"Split string to multiple observations (rows) in the same column. Also ads id and instance columns","Split string to multiple observations (rows) in the same column. Also ads id and instance columns"
"Browse data preview","Browse data preview"
"Split character string","Split character string"
"Split text","Split text"
"Split a text column by a recognised delimiter.","Split a text column by a recognised delimiter."
"Split a character string by a common delimiter","Split a character string by a common delimiter"
"Apply split","Apply split"
"Stacked relative barplot","Stacked relative barplot"
"Create relative stacked barplots to show the distribution of categorical levels","Create relative stacked barplots to show the distribution of categorical levels"
"Side-by-side barplot","Side-by-side barplot"
"Create side-by-side barplot to show the distribution of categorical levels","Create side-by-side barplot to show the distribution of categorical levels"

1 en da
49 Column added! Variabel oprettet!
50 Unique values: Unikke værdier:
51 Variable to cut: Variabel, der skal deles:
Number of breaks: Antal niveauer:
52 Close intervals on the right Luk intervaller til højre
53 Include lowest value Inkluderer den laveste værdi
54 Create factor variable Opret kategorisk variabel
254 Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything. Vælg et navn til den nye variabel, skriv din formel og tryk så på knappen for at gemme variablen, eller annuler for at lukke uden at gemme.
255 Please fill in web address and API token, then press 'Connect'. Udfyld serveradresse og API-nøgle, og tryk så 'Fobind'.
256 Other Other
257 Hour of the day Hour of the day Time på dagen
258 Breaks Breaks Grupper
259 By day of the week By day of the week Efter ugedag
260 By weekday By weekday Efter ugedag
261 By week number and year By week number and year Efter ugenummer og årstal
262 By month and year By month and year Efter måned og årstal
263 By month only By month only Efter måned alene
264 By quarter of the year By quarter of the year Efter kvartal
265 By year By year Efter år
266 Keep only most common Keep only most common Behold kun de hyppigste
267 Number Number Antal
268 Combine below percentage Combine below percentage Kombiner under procentsats
269 Percentage Percentage Procentsats
270 By specified numbers By specified numbers Efter specifikke værdier
271 By quantiles (groups of equal size) By quantiles (groups of equal size) I grupper af samme størrelse
272 By week number By week number Efter ugenummer alene
273 There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data. There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data. Der er mere avancerede muligheder for at ændre kategoriske variable, oprette nye kategoriske variabler fra eksisterende data eller nye variable baseret på R-kode. Nederst kan du gendanne originale data.
274 Split the variable Split the variable
275 Original data Original data
276 Preview of result Preview of result
277 No character variables with accepted delimiters detected. No character variables with accepted delimiters detected.
278 Variable to split: Variable to split:
279 Text or character to split string by Text or character to split string by
280 Select delimiter Select delimiter
281 Direction: Direction:
282 Split string to multiple columns. Keep number of rows. Split string to multiple columns. Keep number of rows.
283 Split string to multiple observations (rows) in the same column. Also ads id and instance columns Split string to multiple observations (rows) in the same column. Also ads id and instance columns
284 Browse data preview Browse data preview
285 Split character string Split character string
286 Split text Split text
287 Split a text column by a recognised delimiter. Split a text column by a recognised delimiter.
288 Split a character string by a common delimiter Split a character string by a common delimiter
289 Apply split Apply split
290 Stacked relative barplot Stacked relative barplot
291 Create relative stacked barplots to show the distribution of categorical levels Create relative stacked barplots to show the distribution of categorical levels
292 Side-by-side barplot Side-by-side barplot
293 Create side-by-side barplot to show the distribution of categorical levels Create side-by-side barplot to show the distribution of categorical levels