## 
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
## 
##     filter, lag
## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union
## corrplot 0.88 loaded
## 
## Attaching package: 'MASS'
## The following object is masked from 'package:dplyr':
## 
##     select
## 
## Attaching package: 'memisc'
## The following objects are masked from 'package:dplyr':
## 
##     collect, recode, rename, syms
## The following object is masked from 'package:htmltools':
## 
##     css
## The following objects are masked from 'package:stats':
## 
##     contr.sum, contr.treatment, contrasts
## The following object is masked from 'package:base':
## 
##     as.array
## 
## Attaching package: 'ggplot2'
## The following object is masked from 'package:memisc':
## 
##     syms
## 
## Attaching package: 'plotly'
## The following object is masked from 'package:ggplot2':
## 
##     last_plot
## The following objects are masked from 'package:memisc':
## 
##     rename, style
## The following object is masked from 'package:MASS':
## 
##     select
## The following object is masked from 'package:stats':
## 
##     filter
## The following object is masked from 'package:graphics':
## 
##     layout
## 
## Attaching package: 'performance'
## The following object is masked from 'package:ROCR':
## 
##     performance
## 
## -- Column specification --------------------------------------------------------
## cols(
##   Genero = col_character(),
##   IdCliente = col_character(),
##   EstadoCliente = col_character(),
##   `Tipo de producto` = col_character(),
##   FechaCobro = col_double(),
##   Capital = col_double(),
##   Pagare = col_double(),
##   NumeroPagos = col_double(),
##   Periodicidad = col_character(),
##   Dependencia = col_character(),
##   SaldoCapital = col_double(),
##   SaldoInteres = col_double(),
##   SaldoIVA = col_double(),
##   SaldoActual = col_double(),
##   SaldoVencido = col_double(),
##   `Cobranza total` = col_double(),
##   `Cobranza esperada total` = col_double(),
##   `Fecha ultima de pago` = col_double(),
##   FechaEjecucion = col_double()
## )
##     Genero           IdCliente         EstadoCliente      Tipo de producto  
##  Length:1000        Length:1000        Length:1000        Length:1000       
##  Class :character   Class :character   Class :character   Class :character  
##  Mode  :character   Mode  :character   Mode  :character   Mode  :character  
##                                                                             
##                                                                             
##                                                                             
##    FechaCobro       Capital           Pagare        NumeroPagos   
##  Min.   :43466   Min.   :  1600   Min.   :  2709   Min.   :12.00  
##  1st Qu.:43756   1st Qu.:  5600   1st Qu.: 10971   1st Qu.:24.00  
##  Median :44065   Median :  8400   Median : 18192   Median :48.00  
##  Mean   :44041   Mean   : 11685   Mean   : 25593   Mean   :50.02  
##  3rd Qu.:44321   3rd Qu.: 14400   3rd Qu.: 30650   3rd Qu.:72.00  
##  Max.   :44562   Max.   :121108   Max.   :229632   Max.   :96.00  
##  Periodicidad       Dependencia         SaldoCapital      SaldoInteres    
##  Length:1000        Length:1000        Min.   : -354.9   Min.   :    0.0  
##  Class :character   Class :character   1st Qu.:  443.5   1st Qu.:  362.3  
##  Mode  :character   Mode  :character   Median : 2303.0   Median : 1471.9  
##                                        Mean   : 5369.8   Mean   : 4794.1  
##                                        3rd Qu.: 6885.0   3rd Qu.: 5401.2  
##                                        Max.   :83104.1   Max.   :85680.5  
##     SaldoIVA         SaldoActual        SaldoVencido    Cobranza total  
##  Min.   :    0.00   Min.   :   139.6   Min.   :     0   Min.   :     0  
##  1st Qu.:   55.86   1st Qu.:   877.7   1st Qu.:   798   1st Qu.:  4130  
##  Median :  218.08   Median :  3994.1   Median :  3492   Median : 10507  
##  Mean   :  751.01   Mean   : 10915.0   Mean   :  9590   Mean   : 16003  
##  3rd Qu.:  854.84   3rd Qu.: 13708.4   3rd Qu.: 12077   3rd Qu.: 20725  
##  Max.   :13708.88   Max.   :167389.3   Max.   :167389   Max.   :218237  
##  Cobranza esperada total Fecha ultima de pago FechaEjecucion 
##  Min.   :     0          Min.   :44562        Min.   :44676  
##  1st Qu.:  3672          1st Qu.:44590        1st Qu.:44676  
##  Median :  9119          Median :44618        Median :44676  
##  Mean   : 14355          Mean   :44618        Mean   :44676  
##  3rd Qu.: 18901          3rd Qu.:44645        3rd Qu.:44676  
##  Max.   :177069          Max.   :44674        Max.   :44676
## Warning in RColorBrewer::brewer.pal(N, "Set2"): minimal value for n is 3, returning requested palette with 3 different levels

## Warning in RColorBrewer::brewer.pal(N, "Set2"): minimal value for n is 3, returning requested palette with 3 different levels
## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors

## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors
## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors

## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors