Teoría

El Market Analysis es una técnica en el ámbito de análisis y minería de datos en el campo del comercio. Su objetivo principal es descubrir patrones de asociación entre productos que suelen ser comprados juntos por los clientes.

Las 3 métricas principales para evaluar reglas de asociación son:

  • Confidence (confianza): Probabilidad de comprar B sabiendo que se compró A. Ej.Pan –> Mantequilla 0.8 De cada 100 clientes que compraron pan, 80 compraron mantequilla también.
  • Lift (Elevación): Cuánto más es probable es comprar B cuando se compra A en comparación de la probabilidad de comprar B sin saber si se compró A. Ej. Lift > 1 Compra A impulsa a B. Lift = 1 No tienen relación de compra. Lift > 1 A reduce la compra de B.
  • Support (Soporte): Popularidad del producto dentro de las transacciones. Ej. Pan y Mantequilla 0.05 El 5% de todas las transacciones compraron estos dos productos juntos.

Contexto

Una cadena de tiendas de convenencia tiene 5 tiendas ubicadas en distintas ciudades de México. La base de datos “abarrotes” contiene 1 mes de transacciones, pero presenta erroes de calidad que impiden realizar análisis confiables. El objetivo es limpiar la base de datos de forma estratégica y posteriormente aplicar MBA para descrubrir patrones de compra y diseñar promociones que aumenten las ventas.

Instalar paquetes y llamar librerías

#install.packages("tidyverse") #Paquete global para manipulación y análisis de datos 
library(tidyverse)
#install.packages("janitor") #Examinar y limpiar bases de datos sucias 
library(janitor)
#install.packages("Matrix") #Para trabajar con matrices
library(Matrix)
#install.packages("arules") #Genera reglas de asociación
library(arules)
#install.packages("arulesViz") #Visualizar reglas de asociación
library(arulesViz)
#install.packages("plyr")
library(plyr)

Importar la base de datos

#file.choose()
df <- read.csv("/Users/annaluisarochalopez/Desktop/abarrotes.csv")

Entender la base de datos

summary(df)
##  ClaveTienda          DescGiro         Codigo.Barras            PLU        
##  Length:200625      Length:200625      Min.   :8.347e+05   Min.   : 1.000  
##  Class :character   Class :character   1st Qu.:7.501e+12   1st Qu.: 1.000  
##  Mode  :character   Mode  :character   Median :7.501e+12   Median : 1.000  
##                                        Mean   :5.950e+12   Mean   : 2.112  
##                                        3rd Qu.:7.501e+12   3rd Qu.: 1.000  
##                                        Max.   :1.750e+13   Max.   :30.000  
##                                                            NA's   :199188  
##     Fecha               Hora              Marca            Fabricante       
##  Length:200625      Length:200625      Length:200625      Length:200625     
##  Class :character   Class :character   Class :character   Class :character  
##  Mode  :character   Mode  :character   Mode  :character   Mode  :character  
##                                                                             
##                                                                             
##                                                                             
##                                                                             
##    Producto             Precio          Ult.Costo         Unidades     
##  Length:200625      Min.   :-147.00   Min.   :  0.38   Min.   : 0.200  
##  Class :character   1st Qu.:  11.00   1st Qu.:  8.46   1st Qu.: 1.000  
##  Mode  :character   Median :  16.00   Median : 12.31   Median : 1.000  
##                     Mean   :  19.42   Mean   : 15.31   Mean   : 1.262  
##                     3rd Qu.:  25.00   3rd Qu.: 19.23   3rd Qu.: 1.000  
##                     Max.   :1000.00   Max.   :769.23   Max.   :96.000  
##                                                                        
##     F.Ticket      NombreDepartamento NombreFamilia      NombreCategoria   
##  Min.   :     1   Length:200625      Length:200625      Length:200625     
##  1st Qu.: 33964   Class :character   Class :character   Class :character  
##  Median :105993   Mode  :character   Mode  :character   Mode  :character  
##  Mean   :193990                                                           
##  3rd Qu.:383005                                                           
##  Max.   :450040                                                           
##                                                                           
##     Estado              Mts.2      Tipo.ubicación         Giro          
##  Length:200625      Min.   :47.0   Length:200625      Length:200625     
##  Class :character   1st Qu.:53.0   Class :character   Class :character  
##  Mode  :character   Median :60.0   Mode  :character   Mode  :character  
##                     Mean   :56.6                                        
##                     3rd Qu.:60.0                                        
##                     Max.   :62.0                                        
##                                                                         
##  Hora.inicio        Hora.cierre       
##  Length:200625      Length:200625     
##  Class :character   Class :character  
##  Mode  :character   Mode  :character  
##                                       
##                                       
##                                       
## 
str(df)
## 'data.frame':    200625 obs. of  22 variables:
##  $ ClaveTienda       : chr  "MX001" "MX001" "MX001" "MX001" ...
##  $ DescGiro          : chr  "Abarrotes" "Abarrotes" "Abarrotes" "Abarrotes" ...
##  $ Codigo.Barras     : num  7.5e+12 7.5e+12 7.5e+12 7.5e+12 7.5e+12 ...
##  $ PLU               : int  NA NA NA NA NA NA NA NA NA NA ...
##  $ Fecha             : chr  "19/06/2020" "19/06/2020" "19/06/2020" "19/06/2020" ...
##  $ Hora              : chr  "08:16:21" "08:23:33" "08:24:33" "08:24:33" ...
##  $ Marca             : chr  "NUTRI LECHE" "DAN UP" "BIMBO" "PEPSI" ...
##  $ Fabricante        : chr  "MEXILAC" "DANONE DE MEXICO" "GRUPO BIMBO" "PEPSI-COLA MEXICANA" ...
##  $ Producto          : chr  "Nutri Leche 1 Litro" "DANUP STRAWBERRY P/BEBER 350GR NAL" "Rebanadas Bimbo 2Pz" "Pepsi N.R. 400Ml" ...
##  $ Precio            : num  16 14 5 8 19.5 16 14 5 8 19.5 ...
##  $ Ult.Costo         : num  12.3 14 5 8 15 ...
##  $ Unidades          : num  1 1 1 1 1 1 1 1 1 1 ...
##  $ F.Ticket          : int  1 2 3 3 4 1 2 3 3 4 ...
##  $ NombreDepartamento: chr  "Abarrotes" "Abarrotes" "Abarrotes" "Abarrotes" ...
##  $ NombreFamilia     : chr  "Lacteos y Refrigerados" "Lacteos y Refrigerados" "Pan y Tortilla" "Bebidas" ...
##  $ NombreCategoria   : chr  "Leche" "Yogurt" "Pan Dulce Empaquetado" "Refrescos Plástico (N.R.)" ...
##  $ Estado            : chr  "Nuevo León" "Nuevo León" "Nuevo León" "Nuevo León" ...
##  $ Mts.2             : int  60 60 60 60 60 60 60 60 60 60 ...
##  $ Tipo.ubicación    : chr  "Esquina" "Esquina" "Esquina" "Esquina" ...
##  $ Giro              : chr  "Abarrotes" "Abarrotes" "Abarrotes" "Abarrotes" ...
##  $ Hora.inicio       : chr  "08:00" "08:00" "08:00" "08:00" ...
##  $ Hora.cierre       : chr  "22:00" "22:00" "22:00" "22:00" ...
#count(df,ClaveTienda, sort=TRUE)
#count(df,DescGiro, sort=TRUE)
#count(df,Codigo.Barras, sort=TRUE)
#count(df,Fecha, sort=TRUE)
#count(df,Hora, sort=TRUE)
#count(df,Marca, sort=TRUE)
#count(df,Fabricante, sort=TRUE)
#count(df,Producto, sort=TRUE)
#count(df, NombreCategoria  , sort=TRUE)
#count(df,NombreFamilia  , sort=TRUE)
#count(df, Unidades, sort=TRUE)
#count(df,NombreDepartamento, sort=TRUE)
#count(df,Estado, sort=TRUE)
#count(df,Tipo.ubicación , sort=TRUE)
#count(df,Giro, sort=TRUE)
#count(df,Hora.inicio , sort=TRUE)
#count(df,Hora.cierre , sort=TRUE)

head(df,10)
##    ClaveTienda  DescGiro Codigo.Barras PLU      Fecha     Hora
## 1        MX001 Abarrotes  7.501021e+12  NA 19/06/2020 08:16:21
## 2        MX001 Abarrotes  7.501032e+12  NA 19/06/2020 08:23:33
## 3        MX001 Abarrotes  7.501000e+12  NA 19/06/2020 08:24:33
## 4        MX001 Abarrotes  7.501031e+12  NA 19/06/2020 08:24:33
## 5        MX001 Abarrotes  7.501026e+12  NA 19/06/2020 08:26:28
## 6        MX001 Abarrotes  7.501021e+12  NA 19/06/2020 08:16:21
## 7        MX001 Abarrotes  7.501032e+12  NA 19/06/2020 08:23:33
## 8        MX001 Abarrotes  7.501000e+12  NA 19/06/2020 08:24:33
## 9        MX001 Abarrotes  7.501031e+12  NA 19/06/2020 08:24:33
## 10       MX001 Abarrotes  7.501026e+12  NA 19/06/2020 08:26:28
##                         Marca                 Fabricante
## 1                 NUTRI LECHE                    MEXILAC
## 2                      DAN UP           DANONE DE MEXICO
## 3                       BIMBO                GRUPO BIMBO
## 4                       PEPSI        PEPSI-COLA MEXICANA
## 5  BLANCA NIEVES (DETERGENTE) FABRICA DE JABON LA CORONA
## 6                 NUTRI LECHE                    MEXILAC
## 7                      DAN UP           DANONE DE MEXICO
## 8                       BIMBO                GRUPO BIMBO
## 9                       PEPSI        PEPSI-COLA MEXICANA
## 10 BLANCA NIEVES (DETERGENTE) FABRICA DE JABON LA CORONA
##                              Producto Precio Ult.Costo Unidades F.Ticket
## 1                 Nutri Leche 1 Litro   16.0     12.31        1        1
## 2  DANUP STRAWBERRY P/BEBER 350GR NAL   14.0     14.00        1        2
## 3                 Rebanadas Bimbo 2Pz    5.0      5.00        1        3
## 4                    Pepsi N.R. 400Ml    8.0      8.00        1        3
## 5       Detergente Blanca Nieves 500G   19.5     15.00        1        4
## 6                 Nutri Leche 1 Litro   16.0     12.31        1        1
## 7  DANUP STRAWBERRY P/BEBER 350GR NAL   14.0     14.00        1        2
## 8                 Rebanadas Bimbo 2Pz    5.0      5.00        1        3
## 9                    Pepsi N.R. 400Ml    8.0      8.00        1        3
## 10      Detergente Blanca Nieves 500G   19.5     15.00        1        4
##    NombreDepartamento          NombreFamilia           NombreCategoria
## 1           Abarrotes Lacteos y Refrigerados                     Leche
## 2           Abarrotes Lacteos y Refrigerados                    Yogurt
## 3           Abarrotes         Pan y Tortilla     Pan Dulce Empaquetado
## 4           Abarrotes                Bebidas Refrescos Plástico (N.R.)
## 5           Abarrotes     Limpieza del Hogar                Lavandería
## 6           Abarrotes Lacteos y Refrigerados                     Leche
## 7           Abarrotes Lacteos y Refrigerados                    Yogurt
## 8           Abarrotes         Pan y Tortilla     Pan Dulce Empaquetado
## 9           Abarrotes                Bebidas Refrescos Plástico (N.R.)
## 10          Abarrotes     Limpieza del Hogar                Lavandería
##        Estado Mts.2 Tipo.ubicación      Giro Hora.inicio Hora.cierre
## 1  Nuevo León    60        Esquina Abarrotes       08:00       22:00
## 2  Nuevo León    60        Esquina Abarrotes       08:00       22:00
## 3  Nuevo León    60        Esquina Abarrotes       08:00       22:00
## 4  Nuevo León    60        Esquina Abarrotes       08:00       22:00
## 5  Nuevo León    60        Esquina Abarrotes       08:00       22:00
## 6  Nuevo León    60        Esquina Abarrotes       08:00       22:00
## 7  Nuevo León    60        Esquina Abarrotes       08:00       22:00
## 8  Nuevo León    60        Esquina Abarrotes       08:00       22:00
## 9  Nuevo León    60        Esquina Abarrotes       08:00       22:00
## 10 Nuevo León    60        Esquina Abarrotes       08:00       22:00
tail(df,10)
##        ClaveTienda DescGiro Codigo.Barras PLU      Fecha     Hora
## 200616       MX005 Depósito   7.62221e+12  NA 07/08/2020 19:30:13
## 200617       MX005 Depósito   7.62221e+12  NA 25/07/2020 18:42:24
## 200618       MX005 Depósito   7.62221e+12  NA 18/07/2020 22:45:58
## 200619       MX005 Depósito   7.62221e+12  NA 12/07/2020 00:36:34
## 200620       MX005 Depósito   7.62221e+12  NA 12/07/2020 01:08:25
## 200621       MX005 Depósito   7.62221e+12  NA 23/10/2020 22:17:37
## 200622       MX005 Depósito   7.62221e+12  NA 10/10/2020 20:30:20
## 200623       MX005 Depósito   7.62221e+12  NA 10/10/2020 22:40:43
## 200624       MX005 Depósito   7.62221e+12  NA 27/06/2020 22:30:19
## 200625       MX005 Depósito   7.62221e+12  NA 26/06/2020 23:43:34
##                    Marca    Fabricante                          Producto Precio
## 200616 TRIDENT XTRA CARE CADBURY ADAMS Trident Xtracare Freshmint 16.32G      9
## 200617 TRIDENT XTRA CARE CADBURY ADAMS Trident Xtracare Freshmint 16.32G      9
## 200618 TRIDENT XTRA CARE CADBURY ADAMS Trident Xtracare Freshmint 16.32G      9
## 200619 TRIDENT XTRA CARE CADBURY ADAMS Trident Xtracare Freshmint 16.32G      9
## 200620 TRIDENT XTRA CARE CADBURY ADAMS Trident Xtracare Freshmint 16.32G      9
## 200621 TRIDENT XTRA CARE CADBURY ADAMS Trident Xtracare Freshmint 16.32G      9
## 200622 TRIDENT XTRA CARE CADBURY ADAMS Trident Xtracare Freshmint 16.32G      9
## 200623 TRIDENT XTRA CARE CADBURY ADAMS Trident Xtracare Freshmint 16.32G      9
## 200624 TRIDENT XTRA CARE CADBURY ADAMS Trident Xtracare Freshmint 16.32G      9
## 200625 TRIDENT XTRA CARE CADBURY ADAMS Trident Xtracare Freshmint 16.32G      9
##        Ult.Costo Unidades F.Ticket NombreDepartamento NombreFamilia
## 200616      6.92        1   106411          Abarrotes      Dulcería
## 200617      6.92        1   104693          Abarrotes      Dulcería
## 200618      6.92        1   103856          Abarrotes      Dulcería
## 200619      6.92        1   103087          Abarrotes      Dulcería
## 200620      6.92        1   103100          Abarrotes      Dulcería
## 200621      6.92        1   116598          Abarrotes      Dulcería
## 200622      6.92        1   114886          Abarrotes      Dulcería
## 200623      6.92        1   114955          Abarrotes      Dulcería
## 200624      6.92        1   101121          Abarrotes      Dulcería
## 200625      6.92        1   100879          Abarrotes      Dulcería
##        NombreCategoria       Estado Mts.2 Tipo.ubicación       Giro Hora.inicio
## 200616 Gomas de Mazcar Quintana Roo    58        Esquina Mini súper       08:00
## 200617 Gomas de Mazcar Quintana Roo    58        Esquina Mini súper       08:00
## 200618 Gomas de Mazcar Quintana Roo    58        Esquina Mini súper       08:00
## 200619 Gomas de Mazcar Quintana Roo    58        Esquina Mini súper       08:00
## 200620 Gomas de Mazcar Quintana Roo    58        Esquina Mini súper       08:00
## 200621 Gomas de Mazcar Quintana Roo    58        Esquina Mini súper       08:00
## 200622 Gomas de Mazcar Quintana Roo    58        Esquina Mini súper       08:00
## 200623 Gomas de Mazcar Quintana Roo    58        Esquina Mini súper       08:00
## 200624 Gomas de Mazcar Quintana Roo    58        Esquina Mini súper       08:00
## 200625 Gomas de Mazcar Quintana Roo    58        Esquina Mini súper       08:00
##        Hora.cierre
## 200616       21:00
## 200617       21:00
## 200618       21:00
## 200619       21:00
## 200620       21:00
## 200621       21:00
## 200622       21:00
## 200623       21:00
## 200624       21:00
## 200625       21:00
#Tabla de Tienda y Departamento
tabyl(df, ClaveTienda,NombreDepartamento)
##  ClaveTienda Abarrotes Bebes e Infantiles Carnes Farmacia Ferretería Mercería
##        MX001     95415                515      1      147        245       28
##        MX002      6590                 21      0        4         10        0
##        MX003      4026                 15      0        2          8        0
##        MX004     82234                932      0      102        114       16
##        MX005     10014                  0      0        0          0        0
##  Papelería Productos a Eliminar Vinos y Licores
##         35                    3              80
##          0                    0               4
##          0                    0               0
##         32                    5              20
##          7                    0               0
#Tabla de Estados y Hora de Inicio
tabyl(df,Estado,Hora.inicio)
##        Estado 07:00 08:00 09:00
##       Chiapas  4051     0     0
##       Jalisco     0     0  6629
##    Nuevo León     0 96469     0
##  Quintana Roo     0 10021     0
##       Sinaloa 83455     0     0

Limpiar la base de datos

Técnica 1. Eliminar valores irrelevantes

#Eliminar columnas
df <- subset(df,select=-c(PLU))

#Eliminar renglones
df <- df[df$Precio>0, ]

Técnica 2. Eliminar valores repetidos

df <- distinct(df)

Técnica 3. Corregir errores tipográficos y similares

df$Unidades <- ceiling(df$Unidades)

Técnica 4. Convertir los tipos de datos

df$Fecha <- as.Date(df$Fecha, format="%d/%m/%Y")

Técnica 5. Tratar valores faltantes

#Borrar todos los NA's
# df <- na.omit(df)

#Reemplazar los NA's con ceros
# df[is.na(df)] <- 0

#Reemplazar los NA's con el PROMEDIO
# df$altura[is.na(df$altura)] <- mean(df$altura, na.rn=TRUE)

Técnica 6. Herraminetas Estadísticas

boxplot(df$Precio, horizontal=TRUE)

boxplot(df$Unidades, horizontal=TRUE)

Generar Basket

#Ordenar de menos a mayor la columna ticket
df <- df[order(df$F.Ticket),] 

#Generar basket 
basket <- ddply(df, c("F.Ticket"), function(df)paste(df$Marca, collapse=","))

#Elimiant número de ticket
basket$F.Ticket <- NULL

#Cambiar el título de la columna V1 por Marca
colnames(basket) <- c("Marca")

#Exportar basket
write.csv(basket, "basket.csv",quote=FALSE, row.names=FALSE)

Market Basket Analysis/span>

#file.choose()
tr <- read.transactions("/Users/annaluisarochalopez/Desktop/basket.csv",format="basket", sep=",")
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
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## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in scan(text = l, what = "character", sep = sep, quote = quote, : EOF
## within quoted string
## Warning in asMethod(object): removing duplicated items in transactions
reglas.asociacion <- apriori(tr,parameter = list(supp=0.001, conf=0.2, maxlen=10))
## Apriori
## 
## Parameter specification:
##  confidence minval smax arem  aval originalSupport maxtime support minlen
##         0.2    0.1    1 none FALSE            TRUE       5   0.001      1
##  maxlen target  ext
##      10  rules TRUE
## 
## Algorithmic control:
##  filter tree heap memopt load sort verbose
##     0.1 TRUE TRUE  FALSE TRUE    2    TRUE
## 
## Absolute minimum support count: 115 
## 
## set item appearances ...[0 item(s)] done [0.00s].
## set transactions ...[604 item(s), 115031 transaction(s)] done [0.01s].
## sorting and recoding items ... [207 item(s)] done [0.00s].
## creating transaction tree ... done [0.02s].
## checking subsets of size 1 2 3 done [0.00s].
## writing ... [11 rule(s)] done [0.00s].
## creating S4 object  ... done [0.01s].
#summary(reglas.asociacion)
#inspect(reglas.asociacion)

reglas.asociacion <- sort(reglas.asociacion, by="confidence", decreasing=TRUE)
#summary(reglas.asociacion)
#inspect(reglas.asociacion)

top10reglas <- head(reglas.asociacion, n=10, by="confidence")
plot(top10reglas, method="graph",engine="htmlwidget",)
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