A data set from De Cock (2011) has 82 fields were recorded for 2,930
properties in Ames IA. This version is copies from the AmesHousing package
but does not include a few quality columns that appear to be outcomes
rather than predictors.
Source
De Cock, D. (2011). "Ames, Iowa: Alternative to the Boston Housing Data as an End of Semester Regression Project," Journal of Statistics Education, Volume 19, Number 3.
Details
See this links for the sources below for more information as well as
?AmesHousing::make_ames.
For these data, the training materials typically use:
library(tidymodels)
set.seed(4595)
data_split <- initial_split(ames, strata = "Sale_Price")
ames_train <- training(data_split)
ames_test <- testing(data_split)
set.seed(2453)
ames_folds<- vfold_cv(ames_train)Examples
data(ames)
str(ames)
#> tibble [2,930 × 74] (S3: tbl_df/tbl/data.frame)
#> $ MS_SubClass : Factor w/ 16 levels "One_Story_1946_and_Newer_All_Styles",..: 1 1 1 1 6 6 12 12 12 6 ...
#> $ MS_Zoning : Factor w/ 7 levels "Floating_Village_Residential",..: 3 2 3 3 3 3 3 3 3 3 ...
#> $ Lot_Frontage : num [1:2930] 141 80 81 93 74 78 41 43 39 60 ...
#> $ Lot_Area : int [1:2930] 31770 11622 14267 11160 13830 9978 4920 5005 5389 7500 ...
#> $ Street : Factor w/ 2 levels "Grvl","Pave": 2 2 2 2 2 2 2 2 2 2 ...
#> $ Alley : Factor w/ 3 levels "Gravel","No_Alley_Access",..: 2 2 2 2 2 2 2 2 2 2 ...
#> $ Lot_Shape : Factor w/ 4 levels "Regular","Slightly_Irregular",..: 2 1 2 1 2 2 1 2 2 1 ...
#> $ Land_Contour : Factor w/ 4 levels "Bnk","HLS","Low",..: 4 4 4 4 4 4 4 2 4 4 ...
#> $ Utilities : Factor w/ 3 levels "AllPub","NoSeWa",..: 1 1 1 1 1 1 1 1 1 1 ...
#> $ Lot_Config : Factor w/ 5 levels "Corner","CulDSac",..: 1 5 1 1 5 5 5 5 5 5 ...
#> $ Land_Slope : Factor w/ 3 levels "Gtl","Mod","Sev": 1 1 1 1 1 1 1 1 1 1 ...
#> $ Neighborhood : Factor w/ 29 levels "North_Ames","College_Creek",..: 1 1 1 1 7 7 17 17 17 7 ...
#> $ Condition_1 : Factor w/ 9 levels "Artery","Feedr",..: 3 2 3 3 3 3 3 3 3 3 ...
#> $ Condition_2 : Factor w/ 8 levels "Artery","Feedr",..: 3 3 3 3 3 3 3 3 3 3 ...
#> $ Bldg_Type : Factor w/ 5 levels "OneFam","TwoFmCon",..: 1 1 1 1 1 1 5 5 5 1 ...
#> $ House_Style : Factor w/ 8 levels "One_and_Half_Fin",..: 3 3 3 3 8 8 3 3 3 8 ...
#> $ Overall_Cond : Factor w/ 10 levels "Very_Poor","Poor",..: 5 6 6 5 5 6 5 5 5 5 ...
#> $ Year_Built : int [1:2930] 1960 1961 1958 1968 1997 1998 2001 1992 1995 1999 ...
#> $ Year_Remod_Add : int [1:2930] 1960 1961 1958 1968 1998 1998 2001 1992 1996 1999 ...
#> $ Roof_Style : Factor w/ 6 levels "Flat","Gable",..: 4 2 4 4 2 2 2 2 2 2 ...
#> $ Roof_Matl : Factor w/ 8 levels "ClyTile","CompShg",..: 2 2 2 2 2 2 2 2 2 2 ...
#> $ Exterior_1st : Factor w/ 16 levels "AsbShng","AsphShn",..: 4 14 15 4 14 14 6 7 6 14 ...
#> $ Exterior_2nd : Factor w/ 17 levels "AsbShng","AsphShn",..: 11 15 16 4 15 15 6 7 6 15 ...
#> $ Mas_Vnr_Type : Factor w/ 5 levels "BrkCmn","BrkFace",..: 5 4 2 4 4 2 4 4 4 4 ...
#> $ Mas_Vnr_Area : num [1:2930] 112 0 108 0 0 20 0 0 0 0 ...
#> $ Exter_Cond : Factor w/ 5 levels "Excellent","Fair",..: 5 5 5 5 5 5 5 5 5 5 ...
#> $ Foundation : Factor w/ 6 levels "BrkTil","CBlock",..: 2 2 2 2 3 3 3 3 3 3 ...
#> $ Bsmt_Cond : Factor w/ 6 levels "Excellent","Fair",..: 3 6 6 6 6 6 6 6 6 6 ...
#> $ Bsmt_Exposure : Factor w/ 5 levels "Av","Gd","Mn",..: 2 4 4 4 4 4 3 4 4 4 ...
#> $ BsmtFin_Type_1 : Factor w/ 7 levels "ALQ","BLQ","GLQ",..: 2 6 1 1 3 3 3 1 3 7 ...
#> $ BsmtFin_SF_1 : num [1:2930] 2 6 1 1 3 3 3 1 3 7 ...
#> $ BsmtFin_Type_2 : Factor w/ 7 levels "ALQ","BLQ","GLQ",..: 7 4 7 7 7 7 7 7 7 7 ...
#> $ BsmtFin_SF_2 : num [1:2930] 0 144 0 0 0 0 0 0 0 0 ...
#> $ Bsmt_Unf_SF : num [1:2930] 441 270 406 1045 137 ...
#> $ Total_Bsmt_SF : num [1:2930] 1080 882 1329 2110 928 ...
#> $ Heating : Factor w/ 6 levels "Floor","GasA",..: 2 2 2 2 2 2 2 2 2 2 ...
#> $ Heating_QC : Factor w/ 5 levels "Excellent","Fair",..: 2 5 5 1 3 1 1 1 1 3 ...
#> $ Central_Air : Factor w/ 2 levels "N","Y": 2 2 2 2 2 2 2 2 2 2 ...
#> $ Electrical : Factor w/ 6 levels "FuseA","FuseF",..: 5 5 5 5 5 5 5 5 5 5 ...
#> $ First_Flr_SF : int [1:2930] 1656 896 1329 2110 928 926 1338 1280 1616 1028 ...
#> $ Second_Flr_SF : int [1:2930] 0 0 0 0 701 678 0 0 0 776 ...
#> $ Gr_Liv_Area : int [1:2930] 1656 896 1329 2110 1629 1604 1338 1280 1616 1804 ...
#> $ Bsmt_Full_Bath : num [1:2930] 1 0 0 1 0 0 1 0 1 0 ...
#> $ Bsmt_Half_Bath : num [1:2930] 0 0 0 0 0 0 0 0 0 0 ...
#> $ Full_Bath : int [1:2930] 1 1 1 2 2 2 2 2 2 2 ...
#> $ Half_Bath : int [1:2930] 0 0 1 1 1 1 0 0 0 1 ...
#> $ Bedroom_AbvGr : int [1:2930] 3 2 3 3 3 3 2 2 2 3 ...
#> $ Kitchen_AbvGr : int [1:2930] 1 1 1 1 1 1 1 1 1 1 ...
#> $ TotRms_AbvGrd : int [1:2930] 7 5 6 8 6 7 6 5 5 7 ...
#> $ Functional : Factor w/ 8 levels "Maj1","Maj2",..: 8 8 8 8 8 8 8 8 8 8 ...
#> $ Fireplaces : int [1:2930] 2 0 0 2 1 1 0 0 1 1 ...
#> $ Garage_Type : Factor w/ 7 levels "Attchd","Basment",..: 1 1 1 1 1 1 1 1 1 1 ...
#> $ Garage_Finish : Factor w/ 4 levels "Fin","No_Garage",..: 1 4 4 1 1 1 1 3 3 1 ...
#> $ Garage_Cars : num [1:2930] 2 1 1 2 2 2 2 2 2 2 ...
#> $ Garage_Area : num [1:2930] 528 730 312 522 482 470 582 506 608 442 ...
#> $ Garage_Cond : Factor w/ 6 levels "Excellent","Fair",..: 6 6 6 6 6 6 6 6 6 6 ...
#> $ Paved_Drive : Factor w/ 3 levels "Dirt_Gravel",..: 2 3 3 3 3 3 3 3 3 3 ...
#> $ Wood_Deck_SF : int [1:2930] 210 140 393 0 212 360 0 0 237 140 ...
#> $ Open_Porch_SF : int [1:2930] 62 0 36 0 34 36 0 82 152 60 ...
#> $ Enclosed_Porch : int [1:2930] 0 0 0 0 0 0 170 0 0 0 ...
#> $ Three_season_porch: int [1:2930] 0 0 0 0 0 0 0 0 0 0 ...
#> $ Screen_Porch : int [1:2930] 0 120 0 0 0 0 0 144 0 0 ...
#> $ Pool_Area : int [1:2930] 0 0 0 0 0 0 0 0 0 0 ...
#> $ Pool_QC : Factor w/ 5 levels "Excellent","Fair",..: 4 4 4 4 4 4 4 4 4 4 ...
#> $ Fence : Factor w/ 5 levels "Good_Privacy",..: 5 3 5 5 3 5 5 5 5 5 ...
#> $ Misc_Feature : Factor w/ 6 levels "Elev","Gar2",..: 3 3 2 3 3 3 3 3 3 3 ...
#> $ Misc_Val : int [1:2930] 0 0 12500 0 0 0 0 0 0 0 ...
#> $ Mo_Sold : int [1:2930] 5 6 6 4 3 6 4 1 3 6 ...
#> $ Year_Sold : int [1:2930] 2010 2010 2010 2010 2010 2010 2010 2010 2010 2010 ...
#> $ Sale_Type : Factor w/ 10 levels "COD","Con","ConLD",..: 10 10 10 10 10 10 10 10 10 10 ...
#> $ Sale_Condition : Factor w/ 6 levels "Abnorml","AdjLand",..: 5 5 5 5 5 5 5 5 5 5 ...
#> $ Sale_Price : int [1:2930] 215000 105000 172000 244000 189900 195500 213500 191500 236500 189000 ...
#> $ Longitude : num [1:2930] -93.6 -93.6 -93.6 -93.6 -93.6 ...
#> $ Latitude : num [1:2930] 42.1 42.1 42.1 42.1 42.1 ...