deleted testdata

data-raw/testdata.csv

-"age","spending_habits","gender","income"
-31,930,"female",1641
-79,1767,"male",4048
-51,877,"male",2642
-14,242,"male",784
-67,1885,"nonbinary",3487
-42,846,"nonbinary",2196
-50,1815,"female",2603
-43,1136,"male",2296
-14,982,"female",827
-25,618,"nonbinary",1321
-69,1926,"female",3531
-57,476,"nonbinary",2997
-9,1998,"female",558
-72,150,"nonbinary",3726
-26,665,"male",1387
-7,1637,"male",477
-42,766,"male",2204
-9,159,"male",591
-83,1414,"nonbinary",4219
-36,154,"female",1878
-78,425,"male",3959
-81,1028,"female",4121
-43,325,"male",2298
-76,1807,"nonbinary",3880
-15,1303,"nonbinary",873
-32,1823,"male",1729
-7,788,"female",411
-9,1590,"nonbinary",524
-41,1866,"male",2127
-74,1955,"nonbinary",3760
-23,1261,"female",1212
-27,1787,"male",1499
-60,1362,"male",3149
-53,984,"male",2714
-7,38,"male",491
-53,821,"male",2758
-27,985,"nonbinary",1440
-38,136,"female",1995
-89,454,"female",4571
-34,1761,"female",1758
-69,1583,"nonbinary",3534
-72,588,"male",3718
-76,1106,"female",3882
-63,1719,"female",3283
-13,1902,"male",722
-82,38,"female",4200
-25,195,"male",1328
-38,1792,"male",1969
-21,679,"female",1195
-79,1309,"nonbinary",4032
-41,371,"male",2148
-47,1501,"nonbinary",2403
-60,1016,"male",3105
-16,193,"female",914
-6,1657,"male",410
-72,667,"female",3682
-86,1542,"female",4439
-86,1057,"female",4413
-39,957,"nonbinary",2030
-31,1129,"male",1639
-81,1806,"male",4116
-50,116,"male",2636
-34,813,"male",1845
-4,925,"nonbinary",306
-13,1125,"male",733
-69,1467,"female",3600
-25,1824,"male",1323
-52,1447,"female",2711
-22,1174,"female",1161
-89,1917,"male",4549
-32,454,"male",1660
-25,1368,"male",1316
-87,26,"male",4428
-35,585,"nonbinary",1858
-40,675,"male",2123
-30,1404,"male",1567
-12,100,"male",737
-31,1295,"female",1671
-30,1382,"female",1626
-64,388,"nonbinary",3265
-14,547,"female",786
-71,1291,"nonbinary",3667
-67,216,"male",3452
-23,1289,"male",1235
-79,549,"male",4024
-85,1329,"male",4306
-37,727,"male",1924
-8,173,"nonbinary",539
-51,548,"male",2681
-74,980,"male",3825
-50,1603,"nonbinary",2565
-74,988,"nonbinary",3762
-86,1473,"female",4447
-76,1620,"male",3894
-84,432,"male",4296
-46,1961,"male",2367
-17,41,"female",958
-62,1479,"male",3177
-46,1528,"female",2373
-54,1801,"male",2819

data-raw/testdata_load.R

-## code to prepare `testdata` dataset goes here
-
-library(devtools)
-library(roxygen2)
-
-testdata <- read.csv("Z://wiso/SozOek_EmpWifo/Gemeinsam/L_Projekte/Data_Science_Kurs_WiSe_2023_24/sozoekds/data-raw/testdata.csv")
-
-usethis::use_data(testdata, overwrite = TRUE)
-

man/testdata.Rd

-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/testdata.R
-\docType{data}
-\name{testdata}
-\alias{testdata}
-\title{Random generated numbers and values for explanatory purpose.}
-\format{
-A data frame,100 observations,  4 variables
-\describe{
-\item{\code{age}}{int age in years}
-\item{\code{spending_habits}}{int spendings per month in euro}
-\item{\code{income}}{int income per month in euro}
-\item{\code{gender}}{chr genderidentity: male, female, nonbinary}
-}
-}
-\usage{
-testdata
-}
-\description{
-Random generated numbers and values for explanatory purpose.
-}
-\keyword{datasets}