Visualizo las columnas de mi dataset

##  [1] "price"           "lotSize"         "age"             "landValue"      
##  [5] "livingArea"      "pctCollege"      "bedrooms"        "fireplaces"     
##  [9] "bathrooms"       "rooms"           "heating"         "fuel"           
## [13] "sewer"           "waterfront"      "newConstruction" "centralAir"

Información descriptiva de mis datos

Data summary
Name datos
Number of rows 1728
Number of columns 16
_______________________
Column type frequency:
character 6
numeric 10
________________________
Group variables None

Variable type: character

skim_variable n_missing complete_rate min max empty n_unique whitespace
heating 0 1 7 15 0 3 0
fuel 0 1 3 8 0 3 0
sewer 0 1 4 17 0 3 0
waterfront 0 1 2 3 0 2 0
newConstruction 0 1 2 3 0 2 0
centralAir 0 1 2 3 0 2 0

Variable type: numeric

skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
price 0 1 211966.71 98441.39 5000 1.45e+05 189900.00 259000.00 775000.0 ▅▇▂▁▁
lotSize 0 1 0.50 0.70 0 1.70e-01 0.37 0.54 12.2 ▇▁▁▁▁
age 0 1 27.92 29.21 0 1.30e+01 19.00 34.00 225.0 ▇▁▁▁▁
landValue 0 1 34557.19 35021.17 200 1.51e+04 25000.00 40200.00 412600.0 ▇▁▁▁▁
livingArea 0 1 1754.98 619.94 616 1.30e+03 1634.50 2137.75 5228.0 ▇▇▂▁▁
pctCollege 0 1 55.57 10.33 20 5.20e+01 57.00 64.00 82.0 ▁▃▆▇▁
bedrooms 0 1 3.15 0.82 1 3.00e+00 3.00 4.00 7.0 ▃▇▅▁▁
fireplaces 0 1 0.60 0.56 0 0.00e+00 1.00 1.00 4.0 ▆▇▁▁▁
bathrooms 0 1 1.90 0.66 0 1.50e+00 2.00 2.50 4.5 ▁▇▇▁▁
rooms 0 1 7.04 2.32 2 5.00e+00 7.00 8.25 12.0 ▃▇▇▅▂

Tipo de datos

## 'data.frame':    1728 obs. of  16 variables:
##  $ price          : int  132500 181115 109000 155000 86060 120000 153000 170000 90000 122900 ...
##  $ lotSize        : num  0.09 0.92 0.19 0.41 0.11 0.68 0.4 1.21 0.83 1.94 ...
##  $ age            : int  42 0 133 13 0 31 33 23 36 4 ...
##  $ landValue      : int  50000 22300 7300 18700 15000 14000 23300 14600 22200 21200 ...
##  $ livingArea     : int  906 1953 1944 1944 840 1152 2752 1662 1632 1416 ...
##  $ pctCollege     : int  35 51 51 51 51 22 51 35 51 44 ...
##  $ bedrooms       : int  2 3 4 3 2 4 4 4 3 3 ...
##  $ fireplaces     : int  1 0 1 1 0 1 1 1 0 0 ...
##  $ bathrooms      : num  1 2.5 1 1.5 1 1 1.5 1.5 1.5 1.5 ...
##  $ rooms          : int  5 6 8 5 3 8 8 9 8 6 ...
##  $ heating        : chr  "electric" "hot water/steam" "hot water/steam" "hot air" ...
##  $ fuel           : chr  "electric" "gas" "gas" "gas" ...
##  $ sewer          : chr  "septic" "septic" "public/commercial" "septic" ...
##  $ waterfront     : chr  "No" "No" "No" "No" ...
##  $ newConstruction: chr  "No" "No" "No" "No" ...
##  $ centralAir     : chr  "No" "No" "No" "No" ...