Atividade 5 utilizando a base de dados Pokémon

Exportando a base da dados

Escolhi fazer essa atividade com a base de dados Pokémon e escolhi as variáveis Ataque e Tipo 1.

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

Tabela relacionando o Ataque com o tipo de Pokémon

tabela<-table(df$attack,df$type_1)
tabela
##      
##       bug dark dragon electric fairy fighting fire flying ghost grass
##   5     0    0      0        0     0        0    0      0     0     0
##   10    1    0      0        0     0        0    0      0     0     0
##   15    0    0      0        0     0        0    0      0     0     0
##   20    2    0      0        0     1        0    0      0     0     0
##   22    1    0      0        0     0        0    0      0     0     0
##   23    0    0      0        0     0        0    0      0     0     0
##   24    0    0      0        0     0        0    0      0     0     0
##   25    2    0      0        0     1        0    0      0     0     0
##   27    0    0      0        0     0        0    0      0     0     1
##   29    1    0      0        0     0        0    0      0     0     0
##   30    3    0      0        1     0        0    0      1     2     2
##   33    0    0      0        0     0        0    0      0     0     0
##   35    5    0      0        1     0        1    0      0     1     3
##   36    0    0      0        0     0        0    0      0     0     0
##   38    0    0      0        1     1        0    0      0     0     0
##   40    1    0      0        3     1        1    1      0     2     3
##   41    0    0      0        0     0        0    1      0     0     0
##   42    0    0      0        0     0        0    0      0     0     0
##   43    0    0      0        0     0        0    0      0     0     0
##   44    0    0      0        0     0        0    0      0     0     0
##   45    4    0      0        2     2        0    1      0     0     3
##   46    0    0      0        0     0        0    0      0     0     0
##   47    2    0      0        0     0        0    0      0     0     0
##   48    0    0      0        0     1        0    0      0     0     0
##   49    0    0      0        0     0        0    0      0     0     2
##   50    1    1      1        3     1        0    2      0     3     2
##   51    0    0      0        0     0        0    0      0     0     0
##   52    1    0      0        0     1        0    2      0     0     0
##   53    1    0      0        0     0        0    1      0     0     1
##   54    0    1      0        0     0        0    0      0     0     0
##   55    2    2      0        4     0        0    0      0     1     3
##   56    0    0      0        0     0        0    0      0     0     0
##   57    0    0      0        0     0        0    0      0     0     0
##   58    0    0      0        1     0        0    1      0     0     0
##   59    1    0      0        0     0        0    1      0     0     0
##   60    3    1      0        2     0        2    2      0     2     4
##   61    0    0      0        0     0        0    0      0     0     1
##   62    0    0      0        0     0        0    0      0     0     3
##   63    1    0      0        1     0        0    1      0     0     0
##   64    0    0      1        0     0        0    2      0     0     0
##   65    4    4      0        2     2        0    0      0     1     3
##   66    0    0      0        0     0        0    0      0     1     0
##   67    0    0      0        0     0        0    0      0     0     1
##   68    0    0      0        0     0        0    1      0     0     2
##   69    0    0      0        0     0        0    1      0     0     0
##   70    3    0      2        1     1        1    1      1     2     2
##   71    0    0      0        0     0        0    0      0     0     0
##   72    0    0      0        0     1        0    0      0     0     0
##   73    1    0      0        0     0        0    1      0     0     0
##   74    0    0      0        0     0        0    0      0     0     0
##   75    1    2      2        3     0        0    1      0     1     3
##   76    1    0      0        0     0        0    1      0     0     0
##   77    1    0      0        0     0        0    0      0     0     0
##   78    0    0      0        0     0        0    1      0     0     1
##   80    1    0      1        0     2        3    0      0     1     2
##   81    0    0      0        0     0        0    1      0     0     0
##   82    0    0      0        0     0        1    0      0     0     2
##   83    0    0      0        1     0        0    0      0     0     0
##   84    0    0      1        0     0        0    2      0     0     0
##   85    2    3      0        3     0        1    3      0     0     3
##   86    0    0      0        0     0        0    0      0     0     1
##   87    0    0      1        0     0        0    0      0     0     0
##   88    0    1      0        0     0        0    0      0     0     0
##   89    0    0      0        0     0        0    0      0     0     1
##   90    5    4      2        2     0        0    2      0     1     2
##   91    0    0      0        0     0        0    0      0     0     0
##   92    0    1      0        0     0        1    0      0     1     1
##   93    0    0      0        0     0        0    1      0     0     0
##   94    1    0      0        0     0        0    0      0     0     1
##   95    2    1      1        0     0        1    2      0     0     1
##   97    0    0      0        0     0        0    1      0     0     0
##   98    0    0      0        0     0        0    1      0     0     1
##   100   1    0      2        1     0        2    3      0     2     5
##   102   0    0      0        0     0        0    0      0     0     0
##   103   1    0      0        0     0        0    0      0     0     0
##   104   0    0      0        0     0        0    1      0     0     0
##   105   0    2      0        0     0        3    0      0     0     1
##   106   0    0      0        0     0        0    0      0     0     0
##   107   0    0      0        0     0        0    0      0     0     1
##   108   0    0      0        0     0        0    0      0     0     0
##   109   1    0      0        0     0        0    0      0     0     1
##   110   1    0      0        0     0        1    1      0     1     1
##   112   0    0      0        0     0        0    0      0     0     0
##   115   0    0      0        2     0        0    1      1     1     1
##   117   0    0      1        0     0        0    0      0     0     0
##   120   1    1      2        1     1        2    1      0     0     0
##   121   0    0      0        0     0        0    0      0     0     0
##   123   0    0      0        1     0        0    1      0     0     0
##   124   0    0      0        0     0        1    0      0     0     0
##   125   2    2      0        0     0        2    0      0     0     0
##   129   0    0      0        0     0        0    0      0     0     0
##   130   1    1      2        0     0        1    2      0     0     1
##   131   0    1      0        0     1        0    0      0     0     0
##   134   0    0      1        0     0        0    0      0     0     0
##   135   1    0      1        0     0        0    0      0     0     0
##   140   0    0      0        0     0        1    1      0     0     0
##   147   0    0      1        0     0        0    0      0     0     0
##   150   0    0      2        0     0        0    0      0     0     0
##   160   0    0      0        0     0        0    0      0     0     0
##   165   0    0      0        0     0        0    0      0     0     0
##      
##       ground ice normal poison psychic rock steel water
##   5        0   0      2      0       0    0     0     0
##   10       0   0      1      0       0    0     0     1
##   15       0   0      0      0       0    0     0     1
##   20       0   0      2      0       1    0     0     2
##   22       0   0      0      0       0    0     0     0
##   23       0   0      0      0       1    0     0     0
##   24       0   0      0      0       0    0     1     0
##   25       0   0      0      0       4    0     0     0
##   27       0   0      0      0       0    0     0     0
##   29       0   0      0      0       0    0     0     0
##   30       0   1      3      0       3    0     0     3
##   33       0   0      0      0       1    0     0     0
##   35       0   0      0      0       2    0     0     0
##   36       0   0      1      0       0    0     0     0
##   38       0   0      0      0       0    0     0     1
##   40       1   1      1      0       1    1     0     4
##   41       0   0      0      0       0    1     0     0
##   42       0   0      0      0       0    1     0     0
##   43       0   0      0      1       0    0     0     0
##   44       0   0      0      0       0    0     0     1
##   45       0   0      5      1       4    2     0     3
##   46       0   0      1      0       0    0     0     0
##   47       0   0      0      1       0    0     0     0
##   48       0   0      1      0       3    0     0     3
##   49       0   0      0      0       0    0     0     1
##   50       1   6      3      2       3    1     1     5
##   51       0   0      1      0       0    0     0     1
##   52       0   0      0      0       0    2     0     1
##   53       0   0      0      0       0    0     0     2
##   54       0   0      0      0       0    0     0     0
##   55       1   1      7      0       3    2     2     2
##   56       0   0      2      0       0    0     0     1
##   57       0   0      0      1       1    0     0     0
##   58       0   0      0      0       1    0     0     1
##   59       0   0      0      0       0    1     0     0
##   60       1   2      8      2       0    1     0     2
##   61       0   0      0      1       0    0     0     0
##   62       0   0      0      1       0    0     0     0
##   63       0   0      0      1       0    0     0     2
##   64       0   0      0      0       0    1     0     1
##   65       0   1      3      1       3    0     0     9
##   66       1   0      1      0       0    0     0     1
##   67       0   0      0      0       0    0     0     1
##   68       0   0      0      0       0    0     0     0
##   69       0   1      0      0       0    0     0     1
##   70       2   1      6      0       1    0     1     5
##   71       0   0      1      0       0    0     0     0
##   72       2   0      0      1       1    0     0     1
##   73       0   0      0      1       1    0     0     1
##   74       1   0      0      0       0    0     0     0
##   75       2   0      1      1       3    1     2     7
##   76       0   0      2      0       0    0     0     0
##   77       0   0      2      0       0    1     0     0
##   78       0   0      0      0       0    0     0     2
##   80       2   3      9      2       0    3     4     3
##   81       0   0      1      0       0    1     0     0
##   82       1   0      1      0       0    0     0     1
##   83       0   0      1      0       0    0     0     2
##   84       0   0      0      0       0    1     0     1
##   85       2   1      6      1       0    0     2     3
##   86       0   0      0      0       0    0     0     1
##   87       0   0      0      0       0    0     0     1
##   88       0   0      0      0       0    0     0     0
##   89       0   0      0      0       0    1     1     0
##   90       0   0      2      3       1    0     2     3
##   91       0   0      1      0       0    0     0     0
##   92       0   0      0      1       0    0     0     2
##   93       0   0      0      1       0    0     0     0
##   94       0   0      0      0       0    0     0     0
##   95       1   1      3      1       0    3     0     6
##   97       0   0      0      0       0    0     0     0
##   98       0   0      0      0       0    0     0     1
##   100      3   1      3      1       3    2     2     3
##   102      0   0      0      1       0    0     0     0
##   103      0   0      0      0       0    0     0     0
##   104      0   0      0      0       0    0     0     1
##   105      0   0      0      1       1    3     0     4
##   106      0   0      0      1       0    0     0     0
##   107      0   0      0      0       0    0     0     0
##   108      0   0      0      0       0    0     0     1
##   109      0   0      0      0       0    0     0     0
##   110      0   1      4      0       1    0     2     1
##   112      1   0      0      0       0    1     0     0
##   115      0   0      2      0       0    1     0     0
##   117      1   1      0      0       0    0     0     0
##   120      1   0      2      0       0    1     1     3
##   121      0   0      0      0       0    1     0     0
##   123      0   0      1      0       0    0     0     0
##   124      1   0      0      0       0    0     0     0
##   125      1   0      0      0       2    2     0     1
##   129      0   0      0      0       0    1     0     0
##   130      1   1      1      0       0    0     0     1
##   131      0   0      0      0       0    0     0     0
##   134      0   0      0      0       0    1     0     0
##   135      1   0      0      0       0    1     1     0
##   140      1   0      0      0       0    1     0     0
##   147      0   0      0      0       0    0     0     0
##   150      1   0      0      0       1    0     0     0
##   160      0   0      2      0       0    0     0     0
##   165      0   0      0      0       0    1     0     0

Boxplot relacionando os dados

boxplot(df$attack~df$type_1, col=c('orange4','orange3','orange2'), 
       main = 'Ataque dos Pokémons com seus tipos',
       xlab = 'Tipos', ylab = 'Ataque')

Conclusão

Com isso, concluimos que os pokémons com os ataques mais fortes são os de tipo Dragon e tipo Rock.