set.seed(2019)
library(rio)

link="https://github.com/JhazminRios29/r/raw/master/data.xlsx"

inei= import(link)
inei[,]=lapply(inei[,], trimws,whitespace = "[\\h\\v]") # no blanks [,] significa a todas las columnas

inei[,c(4:18)]=lapply(inei[,c(4:18)],as.numeric)
## Warning in lapply(inei[, c(4:18)], as.numeric): NAs introduced by coercion

## Warning in lapply(inei[, c(4:18)], as.numeric): NAs introduced by coercion

#APLICO EL SUMMARY

summary(inei)
##     CODIGO          Departamento        Provincia            Hunitot     
##  Length:195         Length:195         Length:195         Min.   : 4.64  
##  Class :character   Class :character   Class :character   1st Qu.:10.30  
##  Mode  :character   Mode  :character   Mode  :character   Median :12.70  
##                                                           Mean   :14.73  
##                                                           3rd Qu.:17.40  
##                                                           Max.   :32.54  
##                                                                          
##     Huniurb         Hunirur          Hsinutot        Hsinuturb     
##  Min.   : 5.82   Min.   : 4.100   Min.   : 3.260   Min.   : 3.390  
##  1st Qu.:11.16   1st Qu.: 9.982   1st Qu.: 4.565   1st Qu.: 5.050  
##  Median :13.96   Median :13.525   Median : 5.220   Median : 5.890  
##  Mean   :15.13   Mean   :15.789   Mean   : 5.401   Mean   : 6.003  
##  3rd Qu.:17.93   3rd Qu.:20.067   3rd Qu.: 6.130   3rd Qu.: 6.765  
##  Max.   :36.79   Max.   :38.990   Max.   :13.920   Max.   :12.010  
##                  NA's   :1                                         
##    Hsinutrur        Hcomchitot       Hcomchiurb       Hcomchirur   
##  Min.   : 2.920   Min.   :   679   Min.   :   195   Min.   :    0  
##  1st Qu.: 3.955   1st Qu.:  5288   1st Qu.:  1443   1st Qu.: 2352  
##  Median : 4.635   Median :  8112   Median :  2659   Median : 4680  
##  Mean   : 5.011   Mean   : 11445   Mean   :  4859   Mean   : 6586  
##  3rd Qu.: 5.643   3rd Qu.: 14257   3rd Qu.:  4614   3rd Qu.: 8210  
##  Max.   :16.110   Max.   :109227   Max.   :108500   Max.   :27345  
##  NA's   :1                                                         
##    Hrsaludtot      Hrsaludurb        Hrsaludrur         Hchimtot     
##  Min.   :  185   Min.   :   62.0   Min.   :    0.0   Min.   : 0.130  
##  1st Qu.: 1613   1st Qu.:  437.5   1st Qu.:  761.5   1st Qu.: 4.245  
##  Median : 2893   Median :  879.0   Median : 1719.0   Median : 7.770  
##  Mean   : 4130   Mean   : 1639.7   Mean   : 2489.9   Mean   : 9.909  
##  3rd Qu.: 5230   3rd Qu.: 1580.0   3rd Qu.: 3317.5   3rd Qu.:12.210  
##  Max.   :29737   Max.   :29570.0   Max.   :12454.0   Max.   :49.160  
##                                                                      
##     Hchimurb        Hchimrur     
##  Min.   : 0.08   Min.   : 0.000  
##  1st Qu.: 4.27   1st Qu.: 4.765  
##  Median : 8.29   Median : 7.950  
##  Mean   :10.45   Mean   :11.225  
##  3rd Qu.:14.15   3rd Qu.:14.705  
##  Max.   :48.85   Max.   :52.640  
## 

#APLICO EL STR

str(inei)
## 'data.frame':    195 obs. of  18 variables:
##  $ CODIGO      : chr  "AMAZONASBAGUA" "AMAZONASBONGARA" "AMAZONASCHACHAPOYAS" "AMAZONASCONDORCANQUI" ...
##  $ Departamento: chr  "Amazonas" "Amazonas" "Amazonas" "Amazonas" ...
##  $ Provincia   : chr  "Bagua" "Bongara" "Chachapoyas" "Condorcanqui" ...
##  $ Hunitot     : num  10.72 10.64 15.78 7.55 11.35 ...
##  $ Huniurb     : num  13.7 11.8 16.5 10.6 12.7 ...
##  $ Hunirur     : num  7.73 8.86 14.15 7.02 10.37 ...
##  $ Hsinutot    : num  4.57 5.33 6.59 4.29 4.71 4.89 4.15 4.91 4.78 4.01 ...
##  $ Hsinuturb   : num  5.57 5.87 7.47 8.56 5.24 6.45 5.32 5.74 7.47 5.52 ...
##  $ Hsinutrur   : num  3.55 4.47 4.56 3.56 4.3 4.09 3.17 4.47 3.73 3.56 ...
##  $ Hcomchitot  : num  10337 4215 6614 8131 9217 ...
##  $ Hcomchiurb  : num  2831 2019 2989 895 3374 ...
##  $ Hcomchirur  : num  7506 2196 3625 7236 5843 ...
##  $ Hrsaludtot  : num  4798 1542 2363 5134 3586 ...
##  $ Hrsaludurb  : num  1009 649 1031 506 1129 ...
##  $ Hrsaludrur  : num  3789 893 1332 4628 2457 ...
##  $ Hchimtot    : num  5.39 4.87 5.41 0.13 10.57 ...
##  $ Hchimurb    : num  5.64 5.05 4.97 0.08 13.56 ...
##  $ Hchimrur    : num  5.14 4.59 6.41 0.13 8.31 ...