Cinco indicadores del INEI - JHANPOL SUAREZ 1)Verificando que mi data puede abrirse adecuadamente

library(rio)
linkgithub="https://github.com/JhanpolS/INEI/raw/master/Data_cincoindicadores.xlsx"
cincovariables=import(linkgithub,which = 1)

2)Verificando que el “str” y “summary” funcionan sin problemas

str(cincovariables)
## 'data.frame':    195 obs. of  28 variables:
##  $ CODIGO           : chr  "AMAZONABAGUA" "AMAZONASBONGARA" "AMAZONASCHACHAPOYAS" "AMAZONASCONDORCANQUI" ...
##  $ Departamento     : chr  "Amazonas" "Amazonas" "Amazonas" "Amazonas" ...
##  $ Provincia        : chr  "Bagua" "Bongará" "Chachapoyas" "Condorcanqui" ...
##  $ Pob6a11Tot       : num  11277 3748 6333 8647 7162 ...
##  $ Pob6a11Urb       : num  4443 2099 4105 1126 2663 ...
##  $ Pob6a11Rural     : num  6834 1649 2228 7521 4499 ...
##  $ Pob6a11Hom       : num  5774 1909 3198 4396 3646 ...
##  $ Pob6a11Muj       : num  5503 1839 3135 4251 3516 ...
##  $ Pob12a16Tot      : num  8888 3449 5775 5406 6035 ...
##  $ Pob12a16Urb      : num  4213 2094 4057 1078 2472 ...
##  $ Pob12a16Ru       : num  4675 1355 1718 4328 3563 ...
##  $ Pob12a16Hom      : num  4554 1804 2891 2655 3183 ...
##  $ Pob12a16Muj      : num  4334 1645 2884 2751 2852 ...
##  $ Per15Tot         : num  43861 18131 33847 21202 30384 ...
##  $ Per15Urb         : num  22504 11216 24052 3552 12849 ...
##  $ Per15Ru          : num  21357 6915 9795 17650 17535 ...
##  $ Per15Hom         : num  22442 9402 16417 10726 15791 ...
##  $ Per15Muj         : num  21419 8729 17430 10476 14593 ...
##  $ Per18NoDNITot    : num  3715 1015 1442 3633 2475 ...
##  $ Per18NoDNIUrb    : num  894 522 783 230 747 ...
##  $ Per18NoDNIRu     : num  2821 493 659 3403 1728 ...
##  $ Per18NoDNIHom    : num  1409 412 583 1180 940 ...
##  $ Per18NoDNIMuj    : num  2306 603 859 2453 1535 ...
##  $ Per18NoDNIPARTTot: num  389 126 173 675 377 126 665 20 212 106 ...
##  $ Per18NoDNIPARTUrb: num  93 60 80 12 121 23 196 6 40 16 ...
##  $ Per18NoDNIPARTRu : num  296 66 93 663 256 103 469 14 172 90 ...
##  $ Per18NoDNIPARTHom: num  79 31 41 118 92 37 120 1 34 25 ...
##  $ Per18NoDNIPARTMuj: num  310 95 132 557 285 89 545 19 178 81 ...
summary(cincovariables)
##     CODIGO          Departamento        Provincia           Pob6a11Tot    
##  Length:195         Length:195         Length:195         Min.   :   505  
##  Class :character   Class :character   Class :character   1st Qu.:  4518  
##  Mode  :character   Mode  :character   Mode  :character   Median :  8378  
##                                                           Mean   : 16992  
##                                                           3rd Qu.: 15662  
##                                                           Max.   :748920  
##    Pob6a11Urb      Pob6a11Rural     Pob6a11Hom       Pob6a11Muj    
##  Min.   :   135   Min.   :    0   Min.   :   271   Min.   :   234  
##  1st Qu.:  1434   1st Qu.: 1770   1st Qu.:  2264   1st Qu.:  2216  
##  Median :  3031   Median : 3688   Median :  4298   Median :  4116  
##  Mean   : 11813   Mean   : 5178   Mean   :  8653   Mean   :  8339  
##  3rd Qu.:  7455   3rd Qu.: 6772   3rd Qu.:  8034   3rd Qu.:  7627  
##  Max.   :747793   Max.   :23757   Max.   :382261   Max.   :366659  
##   Pob12a16Tot      Pob12a16Urb       Pob12a16Ru     Pob12a16Hom    
##  Min.   :   456   Min.   :   148   Min.   :    0   Min.   :   230  
##  1st Qu.:  3686   1st Qu.:  1358   1st Qu.: 1460   1st Qu.:  1887  
##  Median :  7150   Median :  2822   Median : 2986   Median :  3637  
##  Mean   : 14942   Mean   : 10849   Mean   : 4093   Mean   :  7561  
##  3rd Qu.: 13601   3rd Qu.:  6752   3rd Qu.: 5020   3rd Qu.:  6970  
##  Max.   :666742   Max.   :665741   Max.   :17632   Max.   :331885  
##   Pob12a16Muj        Per15Tot          Per15Urb          Per15Ru     
##  Min.   :   226   Min.   :   2178   Min.   :    811   Min.   :    0  
##  1st Qu.:  1786   1st Qu.:  19614   1st Qu.:   7634   1st Qu.: 8712  
##  Median :  3467   Median :  37704   Median :  15591   Median :16101  
##  Mean   :  7381   Mean   :  97716   Mean   :  76663   Mean   :21053  
##  3rd Qu.:  6567   3rd Qu.:  74129   3rd Qu.:  39586   3rd Qu.:26050  
##  Max.   :334857   Max.   :5702643   Max.   :5695856   Max.   :92345  
##     Per15Hom          Per15Muj       Per18NoDNITot     Per18NoDNIUrb  
##  Min.   :   1186   Min.   :    992   Min.   :   78.0   Min.   :   24  
##  1st Qu.:  10066   1st Qu.:   9724   1st Qu.:  688.5   1st Qu.:  201  
##  Median :  19209   Median :  18501   Median : 1469.0   Median :  438  
##  Mean   :  48016   Mean   :  49700   Mean   : 2894.8   Mean   : 1692  
##  3rd Qu.:  37206   3rd Qu.:  35816   3rd Qu.: 3100.5   3rd Qu.: 1232  
##  Max.   :2744230   Max.   :2958413   Max.   :92764.0   Max.   :92599  
##   Per18NoDNIRu  Per18NoDNIHom   Per18NoDNIMuj     Per18NoDNIPARTTot
##  Min.   :   0   Min.   :   36   Min.   :   21.0   Min.   :   6.0   
##  1st Qu.: 304   1st Qu.:  253   1st Qu.:  420.5   1st Qu.: 116.5   
##  Median : 666   Median :  584   Median :  890.0   Median : 221.0   
##  Mean   :1203   Mean   : 1257   Mean   : 1638.3   Mean   : 348.5   
##  3rd Qu.:1566   3rd Qu.: 1256   3rd Qu.: 1671.0   3rd Qu.: 446.0   
##  Max.   :7304   Max.   :43501   Max.   :49263.0   Max.   :5289.0   
##  Per18NoDNIPARTUrb Per18NoDNIPARTRu Per18NoDNIPARTHom Per18NoDNIPARTMuj
##  Min.   :   1.0    Min.   :   0.0   Min.   :   1.00   Min.   :   5.0   
##  1st Qu.:  30.5    1st Qu.:  48.0   1st Qu.:  26.50   1st Qu.:  87.5   
##  Median :  63.0    Median : 118.0   Median :  49.00   Median : 171.0   
##  Mean   : 135.7    Mean   : 212.7   Mean   :  82.89   Mean   : 265.6   
##  3rd Qu.: 108.0    3rd Qu.: 297.0   3rd Qu.: 101.00   3rd Qu.: 329.5   
##  Max.   :5279.0    Max.   :1323.0   Max.   :1001.00   Max.   :4288.0