Diversas formas de examinar os seus dados
Prof. Steven Dutt-Ross
Examine the data
head
head(CARROS)## Kmporlitro Cilindros Preco HP Amperagem_circ_eletrico
## Mazda RX4 21.0 6 160 110 3.90
## Mazda RX4 Wag 21.0 6 160 110 3.90
## Datsun 710 22.8 4 108 93 3.85
## Hornet 4 Drive 21.4 6 258 110 3.08
## Hornet Sportabout 18.7 8 360 175 3.15
## Valiant 18.1 6 225 105 2.76
## Peso RPM Tipodecombustivel TipodeMarcha NumdeMarchas
## Mazda RX4 2.620 16.46 Gasolina Manual 4
## Mazda RX4 Wag 2.875 17.02 Gasolina Manual 4
## Datsun 710 2.320 18.61 Álcool Manual 4
## Hornet 4 Drive 3.215 19.44 Álcool Automático 3
## Hornet Sportabout 3.440 17.02 Gasolina Automático 3
## Valiant 3.460 20.22 Álcool Automático 3
## NumdeValvulas
## Mazda RX4 4
## Mazda RX4 Wag 4
## Datsun 710 1
## Hornet 4 Drive 1
## Hornet Sportabout 2
## Valiant 1str
str(CARROS)## 'data.frame': 32 obs. of 11 variables:
## $ Kmporlitro : num 21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ...
## $ Cilindros : num 6 6 4 6 8 6 8 4 4 6 ...
## $ Preco : num 160 160 108 258 360 ...
## $ HP : num 110 110 93 110 175 105 245 62 95 123 ...
## $ Amperagem_circ_eletrico: num 3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ...
## $ Peso : num 2.62 2.88 2.32 3.21 3.44 ...
## $ RPM : num 16.5 17 18.6 19.4 17 ...
## $ Tipodecombustivel : Factor w/ 2 levels "Gasolina","Álcool": 1 1 2 2 1 2 1 2 2 2 ...
## $ TipodeMarcha : Factor w/ 2 levels "Automático","Manual": 2 2 2 1 1 1 1 1 1 1 ...
## $ NumdeMarchas : num 4 4 4 3 3 3 3 4 4 4 ...
## $ NumdeValvulas : num 4 4 1 1 2 1 4 2 2 4 ...
## - attr(*, "variable.labels")= chr "Km por litro" "Número de Cilindros" "Preço" "HP = Horse Power (potência do motor)" ...describe
library(psych)
describe(CARROS)## vars n mean sd median trimmed mad min
## Kmporlitro 1 32 20.09 6.03 19.20 19.70 5.41 10.40
## Cilindros 2 32 6.19 1.79 6.00 6.23 2.97 4.00
## Preco 3 32 230.72 123.94 196.30 222.52 140.48 71.10
## HP 4 32 146.69 68.56 123.00 141.19 77.10 52.00
## Amperagem_circ_eletrico 5 32 3.60 0.53 3.70 3.58 0.70 2.76
## Peso 6 32 3.22 0.98 3.33 3.15 0.77 1.51
## RPM 7 32 17.85 1.79 17.71 17.83 1.42 14.50
## Tipodecombustivel* 8 32 1.44 0.50 1.00 1.42 0.00 1.00
## TipodeMarcha* 9 32 1.41 0.50 1.00 1.38 0.00 1.00
## NumdeMarchas 10 32 3.69 0.74 4.00 3.62 1.48 3.00
## NumdeValvulas 11 32 2.81 1.62 2.00 2.65 1.48 1.00
## max range skew kurtosis se
## Kmporlitro 33.90 23.50 0.61 -0.37 1.07
## Cilindros 8.00 4.00 -0.17 -1.76 0.32
## Preco 472.00 400.90 0.38 -1.21 21.91
## HP 335.00 283.00 0.73 -0.14 12.12
## Amperagem_circ_eletrico 4.93 2.17 0.27 -0.71 0.09
## Peso 5.42 3.91 0.42 -0.02 0.17
## RPM 22.90 8.40 0.37 0.34 0.32
## Tipodecombustivel* 2.00 1.00 0.24 -2.00 0.09
## TipodeMarcha* 2.00 1.00 0.36 -1.92 0.09
## NumdeMarchas 5.00 2.00 0.53 -1.07 0.13
## NumdeValvulas 8.00 7.00 1.05 1.26 0.29library(dplyr)## Warning: package 'dplyr' was built under R version 3.5.3##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, unionglimpse(CARROS)## Observations: 32
## Variables: 11
## $ Kmporlitro <dbl> 21.0, 21.0, 22.8, 21.4, 18.7, 18.1, 14...
## $ Cilindros <dbl> 6, 6, 4, 6, 8, 6, 8, 4, 4, 6, 6, 8, 8,...
## $ Preco <dbl> 160.0, 160.0, 108.0, 258.0, 360.0, 225...
## $ HP <dbl> 110, 110, 93, 110, 175, 105, 245, 62, ...
## $ Amperagem_circ_eletrico <dbl> 3.90, 3.90, 3.85, 3.08, 3.15, 2.76, 3....
## $ Peso <dbl> 2.620, 2.875, 2.320, 3.215, 3.440, 3.4...
## $ RPM <dbl> 16.46, 17.02, 18.61, 19.44, 17.02, 20....
## $ Tipodecombustivel <fct> Gasolina, Gasolina, Álcool, Álcool, Ga...
## $ TipodeMarcha <fct> Manual, Manual, Manual, Automático, Au...
## $ NumdeMarchas <dbl> 4, 4, 4, 3, 3, 3, 3, 4, 4, 4, 4, 3, 3,...
## $ NumdeValvulas <dbl> 4, 4, 1, 1, 2, 1, 4, 2, 2, 4, 4, 3, 3,...summary
summary(CARROS)## Kmporlitro Cilindros Preco HP
## Min. :10.40 Min. :4.000 Min. : 71.1 Min. : 52.0
## 1st Qu.:15.43 1st Qu.:4.000 1st Qu.:120.8 1st Qu.: 96.5
## Median :19.20 Median :6.000 Median :196.3 Median :123.0
## Mean :20.09 Mean :6.188 Mean :230.7 Mean :146.7
## 3rd Qu.:22.80 3rd Qu.:8.000 3rd Qu.:326.0 3rd Qu.:180.0
## Max. :33.90 Max. :8.000 Max. :472.0 Max. :335.0
## Amperagem_circ_eletrico Peso RPM Tipodecombustivel
## Min. :2.760 Min. :1.513 Min. :14.50 Gasolina:18
## 1st Qu.:3.080 1st Qu.:2.581 1st Qu.:16.89 Álcool :14
## Median :3.695 Median :3.325 Median :17.71
## Mean :3.597 Mean :3.217 Mean :17.85
## 3rd Qu.:3.920 3rd Qu.:3.610 3rd Qu.:18.90
## Max. :4.930 Max. :5.424 Max. :22.90
## TipodeMarcha NumdeMarchas NumdeValvulas
## Automático:19 Min. :3.000 Min. :1.000
## Manual :13 1st Qu.:3.000 1st Qu.:2.000
## Median :4.000 Median :2.000
## Mean :3.688 Mean :2.812
## 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :5.000 Max. :8.000data
library(dataMaid)##
## Attaching package: 'dataMaid'## The following object is masked from 'package:dplyr':
##
## summarize#Visualize a variable
#visualize(CARROS$am)
#Visualize a dataset
visualize(CARROS)
