Exportando a base da dados

Escolhi a base de dados Pokémon e as variáveis Defesa e Tipo 2.

 load("C:/Users/labccet/Downloads/Base_de_dados-master/Base_de_dados-master/df_pokemon.RData")

Tabela relacionando a defesa com o tipo de Pokémon

tabela<-table(df$defense,df$type_2)
tabela
##      
##       bug dark dragon electric fairy fighting fire flying ghost grass
##   5     0    0      0        0     0        0    0      0     0     0
##   10    0    0      0        0     0        0    0      0     0     0
##   15    0    0      0        0     1        0    0      0     0     0
##   20    0    1      0        0     1        0    0      0     0     0
##   23    0    0      0        0     0        0    0      0     0     0
##   25    0    0      0        0     1        0    0      0     0     0
##   28    0    0      0        0     0        0    0      0     0     0
##   30    0    0      0        0     0        0    1      6     0     1
##   32    0    0      0        0     0        0    0      0     0     0
##   33    0    0      0        0     0        0    0      0     0     0
##   34    0    0      0        0     0        0    0      1     0     0
##   35    0    1      1        0     1        0    0      1     0     0
##   37    0    0      0        0     0        0    0      0     0     0
##   38    0    0      0        1     0        0    0      0     0     0
##   39    0    0      0        0     0        0    0      0     0     0
##   40    0    2      0        0     1        1    0      2     0     0
##   41    0    0      0        0     0        0    0      0     0     0
##   42    0    0      0        0     0        0    0      2     0     0
##   43    0    0      0        0     0        0    0      2     0     0
##   44    0    0      0        0     0        0    0      1     0     0
##   45    0    1      0        0     2        0    0      7     1     0
##   47    0    1      0        0     0        0    0      0     0     0
##   48    0    0      0        0     0        0    0      0     0     1
##   49    0    0      0        0     0        0    0      0     0     0
##   50    1    0      2        1     1        0    1     12     2     2
##   51    0    0      0        0     0        0    0      0     0     0
##   52    0    0      0        0     0        1    0      1     0     0
##   53    0    0      0        0     0        0    0      0     0     0
##   54    0    0      0        0     0        0    0      0     0     0
##   55    0    0      0        0     0        1    2      4     0     1
##   56    0    0      0        0     0        0    0      0     0     0
##   57    0    0      0        0     1        0    0      0     0     0
##   58    0    0      0        1     0        0    0      0     0     0
##   59    0    0      0        0     0        0    0      0     0     0
##   60    0    2      0        1     1        1    1      3     0     0
##   61    0    0      0        0     0        0    0      0     0     0
##   62    0    0      0        0     0        0    0      2     0     0
##   63    0    0      0        0     0        0    0      1     0     0
##   64    0    0      0        0     0        0    0      0     0     0
##   65    0    0      0        0     2        3    1      3     0     0
##   66    0    0      0        0     0        0    0      0     0     0
##   67    0    2      0        0     0        0    0      0     0     0
##   68    0    0      0        0     0        0    0      0     0     0
##   69    0    0      0        0     0        0    0      0     0     0
##   70    0    0      1        0     0        2    0      7     2     4
##   71    0    0      0        0     0        1    0      1     0     0
##   72    0    0      0        0     0        1    0      0     0     0
##   73    0    0      0        0     0        0    0      0     0     0
##   75    0    0      0        0     0        1    0      4     1     0
##   76    0    0      0        0     0        0    0      0     0     1
##   77    0    0      1        0     0        0    0      0     1     1
##   78    0    1      0        0     0        0    0      1     0     0
##   79    0    0      0        0     0        0    0      1     0     0
##   80    0    1      2        0     1        1    0      5     1     2
##   82    0    0      0        0     0        0    0      0     0     0
##   83    0    0      0        0     0        0    0      1     0     0
##   84    0    0      0        1     0        0    0      0     0     0
##   85    0    1      0        0     2        0    0      2     0     1
##   86    0    0      0        0     0        0    0      1     0     0
##   87    0    0      0        0     0        0    0      0     0     0
##   88    0    0      0        0     0        0    0      0     0     0
##   89    0    0      0        0     0        0    0      0     0     0
##   90    1    0      2        0     0        2    1      5     0     1
##   91    0    0      0        0     1        0    0      0     0     0
##   95    0    0      1        0     0        1    0      3     0     0
##   97    0    0      0        0     0        0    0      0     0     1
##   99    0    0      0        0     0        0    0      0     0     0
##   100   1    0      1        0     0        0    2      2     1     1
##   102   0    0      0        0     0        0    0      1     0     0
##   103   0    0      0        0     0        0    0      0     0     0
##   105   0    0      0        0     0        0    0      2     0     0
##   106   0    0      0        0     0        0    0      0     0     0
##   108   0    1      0        0     0        0    0      0     0     0
##   110   0    2      0        0     0        0    0      0     0     0
##   112   0    0      0        0     0        0    0      0     0     0
##   115   0    0      0        0     0        1    0      0     0     0
##   116   0    0      0        0     0        0    0      0     0     0
##   118   0    0      0        0     0        0    0      0     0     0
##   119   0    0      1        0     0        0    0      0     0     0
##   120   0    0      2        1     0        0    0      0     0     0
##   121   0    0      0        0     0        0    0      0     0     0
##   122   0    0      0        0     0        1    0      0     0     1
##   125   0    0      0        0     0        0    0      1     0     0
##   129   0    0      0        0     0        1    0      0     0     0
##   130   0    0      0        0     0        0    0      1     0     0
##   131   0    0      0        0     0        0    0      0     0     0
##   133   0    0      0        0     0        0    0      0     0     0
##   135   0    0      0        0     0        0    0      0     0     0
##   140   0    0      0        0     0        0    0      1     0     0
##   145   0    0      0        0     0        0    0      0     0     0
##   150   0    0      0        0     1        0    0      0     2     0
##   160   0    0      0        0     0        0    0      0     0     0
##   168   0    0      0        0     0        0    0      0     0     0
##   180   0    0      0        0     0        0    0      0     0     0
##   184   0    0      0        0     0        0    0      0     0     0
##   200   0    0      0        0     0        0    0      0     0     0
##   230   0    0      0        0     0        0    0      0     0     0
##      
##       ground ice normal poison psychic rock steel water
##   5        0   0      0      0       0    0     0     0
##   10       0   0      0      0       0    0     0     0
##   15       0   0      0      0       1    0     0     0
##   20       0   0      0      0       0    0     0     0
##   23       0   0      0      0       0    0     0     0
##   25       0   0      0      0       0    0     0     0
##   28       0   0      0      0       0    0     0     0
##   30       0   0      0      2       0    0     0     0
##   32       0   0      0      0       0    0     0     1
##   33       0   0      1      0       0    0     0     0
##   34       0   0      0      0       0    0     0     0
##   35       0   0      0      3       1    0     0     0
##   37       0   0      0      0       0    0     0     0
##   38       0   0      0      0       0    0     0     0
##   39       0   0      0      0       0    0     0     0
##   40       2   0      0      2       0    0     0     0
##   41       0   0      0      0       0    0     0     0
##   42       0   0      0      0       0    0     0     0
##   43       1   0      0      0       0    0     0     0
##   44       0   0      0      0       0    0     0     0
##   45       2   0      0      3       0    0     0     0
##   47       0   0      0      0       0    0     0     0
##   48       0   0      0      0       0    0     0     0
##   49       0   0      0      1       0    0     0     0
##   50       1   2      0      3       0    0     0     1
##   51       0   0      0      0       0    0     0     0
##   52       0   0      1      0       0    0     0     0
##   53       0   0      0      0       1    0     0     0
##   54       0   0      0      0       0    0     0     0
##   55       1   1      0      1       2    0     0     0
##   56       0   0      0      0       0    0     0     0
##   57       0   0      0      0       0    0     0     0
##   58       0   0      1      0       0    0     0     0
##   59       0   0      0      1       0    0     0     0
##   60       0   0      0      2       0    0     1     2
##   61       0   0      0      0       0    0     0     0
##   62       0   0      0      0       0    0     0     0
##   63       0   0      0      1       0    0     0     0
##   64       0   0      0      0       0    0     0     0
##   65       1   1      0      3       3    0     0     0
##   66       0   0      0      0       0    0     0     0
##   67       0   0      0      0       0    0     0     1
##   68       1   0      0      0       0    0     0     0
##   69       0   0      0      0       0    0     0     0
##   70       3   0      0      4       0    0     3     1
##   71       0   0      0      0       0    0     0     0
##   72       0   1      1      0       1    0     0     0
##   73       1   0      0      0       0    0     0     0
##   75       1   1      0      1       1    0     0     0
##   76       0   0      0      0       0    0     0     0
##   77       2   0      0      0       1    0     0     0
##   78       0   0      0      0       0    0     0     0
##   79       0   0      0      0       0    0     0     0
##   80       2   2      0      0       4    0     0     0
##   82       0   0      0      0       0    0     0     0
##   83       0   0      0      1       0    0     0     0
##   84       0   0      0      0       0    0     0     0
##   85       1   0      0      1       3    2     0     0
##   86       0   0      0      0       1    0     0     0
##   87       1   0      0      0       0    0     0     0
##   88       0   0      0      0       1    0     1     0
##   89       0   0      0      1       0    0     0     0
##   90       2   1      0      0       1    0     0     2
##   91       0   0      0      0       0    0     1     0
##   95       1   0      0      0       0    1     2     0
##   97       0   0      0      0       0    0     0     0
##   99       0   0      0      1       0    0     0     0
##   100      1   0      0      0       2    1     2     1
##   102      0   0      0      0       0    0     0     0
##   103      0   0      0      0       0    1     0     0
##   105      1   0      0      0       1    0     1     1
##   106      0   0      0      0       0    0     1     0
##   108      0   0      0      0       0    0     0     0
##   110      0   0      0      0       1    0     0     0
##   112      0   0      0      0       0    0     1     0
##   115      1   0      0      0       0    0     1     1
##   116      0   0      0      0       1    0     0     0
##   118      0   0      0      0       0    0     1     0
##   119      0   0      0      0       0    0     0     0
##   120      0   0      0      0       0    2     0     0
##   121      1   0      0      0       0    0     0     0
##   122      0   0      0      0       0    0     0     0
##   125      0   0      0      0       0    1     0     1
##   129      0   0      0      0       0    0     0     0
##   130      1   0      0      0       1    2     0     0
##   131      0   0      0      0       0    0     1     0
##   133      0   0      0      0       0    1     0     0
##   135      0   0      0      0       0    0     0     0
##   140      0   0      0      0       0    1     1     0
##   145      0   0      0      0       0    0     1     0
##   150      0   0      0      0       0    0     0     0
##   160      1   0      0      0       0    0     0     0
##   168      0   0      0      0       0    0     1     0
##   180      0   1      0      0       0    1     0     0
##   184      0   0      0      0       0    0     0     0
##   200      1   0      0      0       0    0     0     0
##   230      0   0      0      0       0    1     0     0

Boxplot relacionando os dados

boxplot(df$defense~df$type_2, col=c("#cd7ad6","#6dacbd","#c953be","#bfbe82","#e87b94","#fa230f","#bce092"), 
       main = 'Defesa dos Pok攼㸹mons',
       xlab = 'Tipos', ylab = 'Defesa')

Conclusão

Logo, concluo que os pokémons com a defesa mais fortes são os de tipo Rock.