IMPORTANDO OS DADOS

A base de dados utilizada foi do Pokémon

df_pokemon.RData <- load("C:/Users/Gabriel/Downloads/df_pokemon.RData")

ESCOLHA DAS VARIÁVEIS

As variáveis escolhidas foram: Velocidade e Tipos de Pokémon, pois conforme o tipo a velocidade do Pokémon em um combate pode variar.

Segue abaixo a tabela com os valores:

Tabela <-table(df$speed,df$type_1)
Tabela
##      
##       bug dark dragon electric fairy fighting fire flying ghost grass
##   5     1    0      0        0     0        0    0      0     0     0
##   10    0    0      0        0     0        0    0      0     0     1
##   15    3    0      0        0     1        0    0      0     0     1
##   20    2    0      0        0     1        0    2      0     1     1
##   22    0    0      0        0     0        0    0      0     0     0
##   23    0    0      0        0     1        0    0      0     0     0
##   24    0    0      0        0     0        0    0      0     0     0
##   25    3    0      0        0     0        1    0      0     2     0
##   28    0    0      0        0     0        0    0      0     0     0
##   29    1    0      0        0     1        0    0      0     0     0
##   30    3    0      0        0     1        0    1      0     2     6
##   31    0    0      0        0     0        0    0      0     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      0     0     0
##   35    2    1      0        1     1        3    1      0     1     3
##   36    2    0      0        0     0        0    0      0     0     1
##   38    0    1      0        0     0        0    0      0     1     1
##   39    0    0      0        0     0        0    0      0     0     0
##   40    5    0      1        1     1        1    1      0     0     4
##   41    0    0      0        0     0        0    0      0     0     0
##   42    2    0      1        0     1        0    0      0     0     0
##   43    0    0      0        0     0        1    0      0     0     0
##   44    0    0      0        0     0        0    0      0     0     0
##   45    3    1      0        3     1        3    2      0     2     2
##   46    0    0      0        0     0        0    0      0     0     1
##   47    1    0      0        0     0        0    0      0     0     0
##   48    0    1      1        0     0        0    0      0     0     0
##   49    0    0      0        0     1        0    0      0     0     0
##   50    1    1      3        1     0        1    1      0     0     4
##   51    0    0      0        0     0        0    0      0     1     1
##   52    0    0      0        0     1        0    0      0     0     1
##   55    2    0      0        1     0        1    2      1     1     4
##   56    0    0      0        0     0        0    0      0     1     1
##   57    1    0      1        0     0        0    0      0     0     1
##   58    0    2      0        0     0        1    0      0     0     0
##   59    0    0      0        0     0        0    0      0     0     0
##   60    3    2      1        4     2        2    2      0     0     6
##   61    0    0      0        0     0        0    1      0     0     0
##   62    0    0      0        0     0        0    0      0     0     0
##   63    0    0      0        0     0        0    0      0     0     1
##   64    0    0      0        0     0        0    1      0     0     2
##   65    6    3      0        1     0        1    6      0     1     1
##   66    1    1      0        0     0        0    0      0     0     1
##   67    0    0      1        0     0        0    0      0     0     0
##   68    0    0      0        0     0        0    0      0     0     1
##   69    0    0      0        0     0        0    0      0     0     0
##   70    2    2      1        3     0        2    0      0     1     3
##   71    0    1      0        0     0        0    0      0     0     0
##   72    0    0      0        0     1        0    1      0     0     0
##   73    0    1      0        0     0        0    1      0     0     0
##   74    0    0      0        0     0        0    0      0     0     0
##   75    1    1      0        0     1        0    0      0     0     0
##   76    0    0      0        1     0        1    0      0     0     0
##   77    0    0      0        0     0        0    1      0     0     0
##   78    0    0      0        0     0        0    0      0     0     0
##   79    0    0      0        0     0        0    0      0     0     0
##   80    0    1      3        0     1        1    3      0     3     4
##   81    0    0      0        0     0        0    1      0     0     0
##   82    0    0      1        0     0        0    0      0     0     0
##   83    0    0      0        0     0        0    2      0     0     1
##   84    0    0      0        0     0        0    1      0     1     0
##   85    5    0      0        0     0        1    0      0     1     1
##   87    0    0      0        0     0        1    0      0     0     0
##   88    0    0      0        0     0        0    0      0     0     0
##   89    1    0      0        0     0        0    0      0     0     0
##   90    1    0      2        1     0        1    3      0     1     2
##   91    0    1      0        1     0        0    0      0     0     0
##   92    1    0      0        0     0        0    0      0     0     0
##   93    0    0      0        0     0        0    1      0     0     0
##   95    2    1      3        5     0        1    2      0     1     2
##   97    0    0      1        0     0        0    0      0     0     0
##   98    0    1      0        0     0        0    0      0     0     0
##   99    1    1      0        0     1        0    0      0     0     0
##   100   1    0      1        2     0        0    4      0     0     1
##   101   0    0      0        1     0        0    1      0     0     1
##   102   0    0      1        0     0        0    0      0     0     0
##   103   0    0      0        1     0        0    0      0     0     0
##   104   0    0      0        0     0        0    1      0     0     0
##   105   1    1      0        2     0        1    1      0     1     0
##   106   0    1      0        0     0        0    1      0     0     0
##   108   1    0      0        0     0        0    1      0     0     1
##   109   1    0      0        1     0        0    0      0     0     0
##   110   0    0      2        1     0        0    0      0     1     1
##   111   0    0      0        1     0        0    0      1     0     0
##   112   1    0      0        0     0        0    0      0     0     0
##   113   0    0      0        0     0        0    0      0     0     1
##   114   0    0      0        0     0        0    0      0     0     0
##   115   0    1      0        1     0        0    0      0     0     0
##   116   0    0      0        1     0        0    0      0     0     1
##   118   0    0      0        0     0        1    0      0     0     0
##   120   0    0      0        0     0        0    0      0     0     1
##   122   0    0      0        0     0        0    0      0     0     0
##   123   0    0      0        0     0        0    0      1     0     0
##   125   0    2      0        0     0        0    0      0     0     0
##   126   0    0      0        0     0        0    1      0     0     0
##   130   0    0      0        1     0        0    0      0     0     0
##   140   0    0      0        1     0        0    0      0     0     0
##   145   1    0      0        0     0        0    0      0     0     0
##   150   0    0      0        0     0        0    0      0     0     0
##   160   1    0      0        0     0        0    0      0     0     0
##      
##       ground ice normal poison psychic rock steel water
##   5        0   0      1      0       0    0     0     0
##   10       1   0      0      0       0    1     0     0
##   15       0   0      1      0       0    1     0     2
##   20       0   0      3      0       1    2     0     0
##   22       0   0      0      0       0    0     0     1
##   23       0   0      0      0       1    1     1     0
##   24       0   0      0      0       1    0     0     0
##   25       1   1      0      1       0    1     0     0
##   28       0   2      1      0       0    0     1     0
##   29       0   0      0      0       1    0     0     0
##   30       0   0      4      1       3    4     4     3
##   31       0   0      1      0       0    0     0     0
##   32       2   0      0      0       0    0     0     2
##   33       0   0      0      0       1    0     1     0
##   34       0   0      0      0       0    0     0     1
##   35       2   0      0      1       0    2     1     3
##   36       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     1
##   40       4   1      3      1       2    1     1     5
##   41       0   0      0      1       0    1     0     0
##   42       0   0      1      0       1    0     0     0
##   43       0   0      1      0       0    1     0     2
##   44       0   1      0      1       0    0     0     1
##   45       1   1      2      0       2    2     0     3
##   46       0   0      0      0       0    1     0     0
##   47       1   0      0      0       0    0     0     0
##   48       0   0      2      0       1    1     0     0
##   49       0   0      0      0       0    0     0     0
##   50       1   5      6      3       1    3     5     6
##   51       0   0      0      0       0    1     0     0
##   52       0   0      0      0       0    0     0     2
##   55       2   0      5      3       1    2     0     4
##   56       0   0      1      1       0    0     0     0
##   57       0   0      1      0       0    0     0     0
##   58       0   0      0      0       0    3     0     2
##   59       0   1      0      0       0    0     0     1
##   60       0   0      7      1       2    0     1    10
##   61       0   0      0      0       0    1     0     0
##   62       0   0      1      0       0    0     0     0
##   63       0   0      0      0       0    0     0     1
##   64       0   0      0      0       0    0     0     2
##   65       2   3      1      4       2    0     0     5
##   66       0   0      0      0       0    0     0     1
##   67       0   0      0      0       1    0     0     2
##   68       1   0      1      0       1    1     0     1
##   69       0   0      0      0       0    0     0     1
##   70       1   0      4      0       1    4     2     8
##   71       0   0      2      0       0    1     0     1
##   72       0   0      1      0       1    0     0     0
##   73       0   0      0      0       0    0     0     0
##   74       1   0      0      1       0    0     0     1
##   75       1   1      4      1       0    1     1     1
##   76       0   0      0      1       0    0     0     0
##   77       0   0      1      0       0    0     0     0
##   78       0   0      1      0       0    0     0     2
##   79       0   1      0      0       0    0     0     0
##   80       0   2      3      1       4    1     0     3
##   81       0   0      0      0       0    0     0     2
##   82       0   0      0      0       0    0     0     0
##   83       0   0      0      0       0    0     0     0
##   84       0   0      0      1       0    0     0     0
##   85       1   1      6      2       1    0     0     8
##   87       0   0      0      0       0    0     0     0
##   88       1   0      0      0       0    0     0     0
##   89       0   0      0      0       0    0     0     0
##   90       1   0      7      1       2    0     2     3
##   91       0   0      1      0       0    0     0     1
##   92       1   0      0      0       0    0     0     0
##   93       0   0      1      0       0    0     0     0
##   95       2   1      1      1       2    0     0     1
##   97       0   0      1      0       1    0     0     2
##   98       0   0      0      0       0    0     0     2
##   99       0   0      0      0       0    0     0     0
##   100      1   0      7      0       3    0     1     3
##   101      1   0      1      0       0    0     0     1
##   102      0   0      1      0       0    0     0     0
##   103      0   0      0      0       0    0     0     0
##   104      0   0      0      0       1    0     0     0
##   105      0   1      1      0       1    0     0     0
##   106      0   0      0      0       0    0     0     0
##   108      0   0      0      0       0    1     1     1
##   109      0   0      0      0       0    0     0     0
##   110      0   1      1      0       2    1     0     0
##   111      0   0      0      0       0    0     0     0
##   112      0   0      1      0       0    0     0     0
##   113      0   0      0      0       0    0     0     0
##   114      0   0      0      0       1    0     0     0
##   115      0   0      3      0       1    0     0     2
##   116      0   0      0      0       0    0     0     0
##   118      0   0      0      0       0    0     0     0
##   120      1   0      1      0       1    0     0     0
##   122      0   0      0      0       0    0     0     1
##   123      0   0      0      0       0    0     0     0
##   125      0   0      1      0       0    0     0     0
##   126      0   0      0      0       0    0     0     0
##   130      0   0      0      1       1    1     0     0
##   140      0   0      0      0       0    0     0     0
##   145      0   0      0      0       0    0     0     0
##   150      0   0      0      0       1    0     0     0
##   160      0   0      0      0       0    0     0     0

GRÁFICO BOXPLOT (quali x quanti)

boxplot(df$speed~df$type_1, col = c("yellow", "blue"), main = "Velocidade por tipo de Pokemon", xlab= "Tipos de Pokemon", ylab= "Velocidade")

CONCLUSÃO

Conclui-se que o tipo de pokémon que tem a maior média de velocidade é o do tipo voador, pois estes Pokémon tem uma maior rapidez e mobilidade por estar no ar durante o combate. Já o que possui menor média é o tipo fairy.