| rownames | Quarter | Region | State | Purpose | Trips |
|---|---|---|---|---|---|
| 1 | 1998 Q1 | Adelaide | South Australia | Business | 135.0777 |
| 2 | 1998 Q2 | Adelaide | South Australia | Business | 109.9873 |
| 3 | 1998 Q3 | Adelaide | South Australia | Business | 166.0347 |
| 4 | 1998 Q4 | Adelaide | South Australia | Business | 127.1605 |
| 5 | 1999 Q1 | Adelaide | South Australia | Business | 137.4485 |
| 6 | 1999 Q2 | Adelaide | South Australia | Business | 199.9126 |
42 Question
Schlüsselwörter
Aufgaben, Statistik, Prognose, Modellierung, R, Datenanalyse, Regression
Betrachten Sie den Auszug aus dem Datensatz tourism_tbl_ts. Der Datensatz hat folgenden Titel: Australian Domestic Overnight Trips.
Hier folgt eine Beschreibung des Datensatzes:
42.1 BEGINN BESCHREIBUNG DES DATENSATZES
<!DOCTYPE html>
R: Australian Domestic Overnight Trips
| tourism_tbl_ts | R Documentation |
Australian Domestic Overnight Trips
Description
The dataset name has been changed to ‘tourism_tbl_ts’ to avoid confusion with other datasets in the R ecosystem from which data have been sourced. The suffix ‘tbl_ts’ indicates that this dataset is a time series object formatted as a tibble. This naming convention helps distinguish this dataset as part of the ‘timeseriesdatasets’ package and assists users in identifying its specific characteristics. The original content of the dataset has not been modified in any way.
Usage
data(tourism_tbl_ts)
Format
A ‘tbl_ts’ object with 24,320 observations:
- Quarter
-
The quarter of the year when the trips were taken.
- Region
-
The region in Australia where the trips occurred.
- State
-
The state in Australia where the trips occurred.
- Purpose
-
The purpose of the trips (e.g., holiday, business).
- Trips
-
The number of overnight trips.
Details
This dataset contains data on domestic overnight trips taken within Australia, categorized by quarter, region, state, and purpose. The data covers various time periods and provides insight into travel patterns across different states and regions.
Source
Australian Bureau of Statistics.
42.2 ENDE BESCHREIBUNG DES DATENSATZES
Welches Skalenniveau hat die Variable State?
Wählen Sie aus dieser Liste das Skalenniveau aus, das am besten passt:
integer, character, numeric, binary, ordered factor, factor, date, logical
Hinweis: Geben Sie den Namen des Skalenniveaus exakt so ein, wie in der Liste ersichtlich, da ansonsten die Eingabe u.U. nicht als korrekt gewertet werden kann.
43 Solution
Das Skalenviveau der Variablen State lautet character.
44 Meta-information
exname: skalenniveau2 extype: string exsolution: character exshuffle: true categories: - variable-levels