“Limpieza_de_datos-Abarrotes”
Dana Perez - A00227041
9/8/2022
Cambios a la base de datos
- Formato a fecha corta.
- Se duplicaron los primeros 5 registros.
- Se cambio el formato a hora espanol mexico.
- Se cambio el formato a codigo de barras,, para que salga completo.
- Se guardo como CSV UTF/8,, delimitado por comas.
Importar la base de datos
#file.choose()
bd <- read.csv("/Users/dannaperez/Desktop/R/bases de datos/abarrotes.csv")Entender la base de datos
summary (bd)## vcClaveTienda DescGiro Codigo.Barras PLU
## Length:200625 Length:200625 Min. :8.347e+05 Min. : 1.00
## Class :character Class :character 1st Qu.:7.501e+12 1st Qu.: 1.00
## Mode :character Mode :character Median :7.501e+12 Median : 1.00
## Mean :5.950e+12 Mean : 2.11
## 3rd Qu.:7.501e+12 3rd Qu.: 1.00
## Max. :1.750e+13 Max. :30.00
## 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
##
##
##
## Install.packages (“dplyr”)
library(dplyr)##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, unionsummary (bd)## vcClaveTienda DescGiro Codigo.Barras PLU
## Length:200625 Length:200625 Min. :8.347e+05 Min. : 1.00
## Class :character Class :character 1st Qu.:7.501e+12 1st Qu.: 1.00
## Mode :character Mode :character Median :7.501e+12 Median : 1.00
## Mean :5.950e+12 Mean : 2.11
## 3rd Qu.:7.501e+12 3rd Qu.: 1.00
## Max. :1.750e+13 Max. :30.00
## 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
##
##
##
## count(bd, vcClaveTienda, sort = TRUE)## vcClaveTienda n
## 1 MX001 96469
## 2 MX004 83455
## 3 MX005 10021
## 4 MX002 6629
## 5 MX003 4051count(bd, DescGiro, sort = TRUE)## DescGiro n
## 1 Abarrotes 100520
## 2 Carnicería 83455
## 3 Depósito 16650#count(bd, Marca, sort = TRUE)
#count(bd, Producto, sort = TRUE)
#count(bd, Fabricante, sort = TRUE)
#count(bd, NombreDepartamento, sort = TRUE)
#count(bd, NombreCategoria,sort = TRUE)
#count(bd, Estado, sort = TRUE)
#count(bd, Mts.2, sort = TRUE)
#count(bd, Giro, sort = TRUE)
#count(bd, Hora.inicio, sort = TRUE)
#count(bd, Hora.cierre, sort = TRUE)
#install.packages("tidyverse")
library(tidyverse)## ── Attaching packages
## ───────────────────────────────────────
## tidyverse 1.3.2 ──## ✔ ggplot2 3.3.6 ✔ purrr 0.3.4
## ✔ tibble 3.1.8 ✔ stringr 1.4.1
## ✔ tidyr 1.2.0 ✔ forcats 0.5.2
## ✔ readr 2.1.2
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()#install.packages("Janitor")
library(janitor)##
## Attaching package: 'janitor'
##
## The following objects are masked from 'package:stats':
##
## chisq.test, fisher.testtibble(bd)## # A tibble: 200,625 × 22
## vcClaveTienda DescGiro Codig…¹ PLU Fecha Hora Marca Fabri…² Produ…³ Precio
## <chr> <chr> <dbl> <int> <chr> <chr> <chr> <chr> <chr> <dbl>
## 1 MX001 Abarrot… 7.50e12 NA 19/0… 08:1… NUTR… MEXILAC Nutri … 16
## 2 MX001 Abarrot… 7.50e12 NA 19/0… 08:2… DAN … DANONE… DANUP … 14
## 3 MX001 Abarrot… 7.50e12 NA 19/0… 08:2… BIMBO GRUPO … Rebana… 5
## 4 MX001 Abarrot… 7.50e12 NA 19/0… 08:2… PEPSI PEPSI-… Pepsi … 8
## 5 MX001 Abarrot… 7.50e12 NA 19/0… 08:2… BLAN… FABRIC… Deterg… 19.5
## 6 MX001 Abarrot… 7.50e12 NA 19/0… 08:1… NUTR… MEXILAC Nutri … 16
## 7 MX001 Abarrot… 7.50e12 NA 19/0… 08:2… DAN … DANONE… DANUP … 14
## 8 MX001 Abarrot… 7.50e12 NA 19/0… 08:2… BIMBO GRUPO … Rebana… 5
## 9 MX001 Abarrot… 7.50e12 NA 19/0… 08:2… PEPSI PEPSI-… Pepsi … 8
## 10 MX001 Abarrot… 7.50e12 NA 19/0… 08:2… BLAN… FABRIC… Deterg… 19.5
## # … with 200,615 more rows, 12 more variables: Ult.Costo <dbl>, Unidades <dbl>,
## # F.Ticket <int>, NombreDepartamento <chr>, NombreFamilia <chr>,
## # NombreCategoria <chr>, Estado <chr>, Mts.2 <int>, Tipo.ubicación <chr>,
## # Giro <chr>, Hora.inicio <chr>, Hora.cierre <chr>, and abbreviated variable
## # names ¹Codigo.Barras, ²Fabricante, ³Productostr(bd)## 'data.frame': 200625 obs. of 22 variables:
## $ vcClaveTienda : 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 "19/06/20" "19/06/20" "19/06/20" "19/06/20" ...
## $ Hora : chr "08:16:21 a. m." "08:23:33 a. m." "08:24:33 a. m." "08:24:33 a. m." ...
## $ 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 "8:00" "8:00" "8:00" "8:00" ...
## $ Hora.cierre : chr "22:00" "22:00" "22:00" "22:00" ...head(bd)## vcClaveTienda DescGiro Codigo.Barras PLU Fecha Hora
## 1 MX001 Abarrotes 7.501021e+12 NA 19/06/20 08:16:21 a. m.
## 2 MX001 Abarrotes 7.501032e+12 NA 19/06/20 08:23:33 a. m.
## 3 MX001 Abarrotes 7.501000e+12 NA 19/06/20 08:24:33 a. m.
## 4 MX001 Abarrotes 7.501031e+12 NA 19/06/20 08:24:33 a. m.
## 5 MX001 Abarrotes 7.501026e+12 NA 19/06/20 08:26:28 a. m.
## 6 MX001 Abarrotes 7.501021e+12 NA 19/06/20 08:16:21 a. m.
## 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
## 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
## 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
## Estado Mts.2 Tipo.ubicación Giro Hora.inicio Hora.cierre
## 1 Nuevo León 60 Esquina Abarrotes 8:00 22:00
## 2 Nuevo León 60 Esquina Abarrotes 8:00 22:00
## 3 Nuevo León 60 Esquina Abarrotes 8:00 22:00
## 4 Nuevo León 60 Esquina Abarrotes 8:00 22:00
## 5 Nuevo León 60 Esquina Abarrotes 8:00 22:00
## 6 Nuevo León 60 Esquina Abarrotes 8:00 22:00head(bd, n=7)## vcClaveTienda DescGiro Codigo.Barras PLU Fecha Hora
## 1 MX001 Abarrotes 7.501021e+12 NA 19/06/20 08:16:21 a. m.
## 2 MX001 Abarrotes 7.501032e+12 NA 19/06/20 08:23:33 a. m.
## 3 MX001 Abarrotes 7.501000e+12 NA 19/06/20 08:24:33 a. m.
## 4 MX001 Abarrotes 7.501031e+12 NA 19/06/20 08:24:33 a. m.
## 5 MX001 Abarrotes 7.501026e+12 NA 19/06/20 08:26:28 a. m.
## 6 MX001 Abarrotes 7.501021e+12 NA 19/06/20 08:16:21 a. m.
## 7 MX001 Abarrotes 7.501032e+12 NA 19/06/20 08:23:33 a. m.
## 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
## 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
## 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
## Estado Mts.2 Tipo.ubicación Giro Hora.inicio Hora.cierre
## 1 Nuevo León 60 Esquina Abarrotes 8:00 22:00
## 2 Nuevo León 60 Esquina Abarrotes 8:00 22:00
## 3 Nuevo León 60 Esquina Abarrotes 8:00 22:00
## 4 Nuevo León 60 Esquina Abarrotes 8:00 22:00
## 5 Nuevo León 60 Esquina Abarrotes 8:00 22:00
## 6 Nuevo León 60 Esquina Abarrotes 8:00 22:00
## 7 Nuevo León 60 Esquina Abarrotes 8:00 22:00tail(bd)## vcClaveTienda DescGiro Codigo.Barras PLU Fecha Hora
## 200620 MX005 Depósito 7.62221e+12 NA 12/07/20 01:08:25 a. m.
## 200621 MX005 Depósito 7.62221e+12 NA 23/10/20 10:17:37 p. m.
## 200622 MX005 Depósito 7.62221e+12 NA 10/10/20 08:30:20 p. m.
## 200623 MX005 Depósito 7.62221e+12 NA 10/10/20 10:40:43 p. m.
## 200624 MX005 Depósito 7.62221e+12 NA 27/06/20 10:30:19 p. m.
## 200625 MX005 Depósito 7.62221e+12 NA 26/06/20 11:43:34 p. m.
## Marca Fabricante Producto Precio
## 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
## 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
## 200620 Gomas de Mazcar Quintana Roo 58 Esquina Mini súper 8:00
## 200621 Gomas de Mazcar Quintana Roo 58 Esquina Mini súper 8:00
## 200622 Gomas de Mazcar Quintana Roo 58 Esquina Mini súper 8:00
## 200623 Gomas de Mazcar Quintana Roo 58 Esquina Mini súper 8:00
## 200624 Gomas de Mazcar Quintana Roo 58 Esquina Mini súper 8:00
## 200625 Gomas de Mazcar Quintana Roo 58 Esquina Mini súper 8:00
## Hora.cierre
## 200620 21:00
## 200621 21:00
## 200622 21:00
## 200623 21:00
## 200624 21:00
## 200625 21:00tabyl(bd, vcClaveTienda, NombreDepartamento)## vcClaveTienda 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 0Observaciones
- Casi ningun registro cuenta con PLU.
- Cambiar formato de fecha.
- Cambiar formato de hora.
- Hay precios negativos.
- Hay unidades menores a 1.
Tecnicas para limpieza de datos
Tecnica 1. remover datos irrelevantes
Eliminar columnas
bd1 <- bd
bd1 <- subset(bd1,select = -c (PLU, Codigo.Barras))Eliminar renglones
bd2 <- bd1
bd2 <- bd2[bd2$precio > 0,]
summary (bd1)## vcClaveTienda DescGiro Fecha Hora
## Length:200625 Length:200625 Length:200625 Length:200625
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
## Marca Fabricante Producto Precio
## Length:200625 Length:200625 Length:200625 Min. :-147.00
## Class :character Class :character Class :character 1st Qu.: 11.00
## Mode :character Mode :character Mode :character Median : 16.00
## Mean : 19.42
## 3rd Qu.: 25.00
## Max. :1000.00
## Ult.Costo Unidades F.Ticket NombreDepartamento
## Min. : 0.38 Min. : 0.200 Min. : 1 Length:200625
## 1st Qu.: 8.46 1st Qu.: 1.000 1st Qu.: 33964 Class :character
## Median : 12.31 Median : 1.000 Median :105993 Mode :character
## Mean : 15.31 Mean : 1.262 Mean :193990
## 3rd Qu.: 19.23 3rd Qu.: 1.000 3rd Qu.:383005
## Max. :769.23 Max. :96.000 Max. :450040
## NombreFamilia NombreCategoria Estado Mts.2
## Length:200625 Length:200625 Length:200625 Min. :47.0
## Class :character Class :character Class :character 1st Qu.:53.0
## Mode :character Mode :character Mode :character Median :60.0
## Mean :56.6
## 3rd Qu.:60.0
## Max. :62.0
## Tipo.ubicación Giro Hora.inicio Hora.cierre
## Length:200625 Length:200625 Length:200625 Length:200625
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
## summary (bd2) ## vcClaveTienda DescGiro Fecha Hora
## Length:0 Length:0 Length:0 Length:0
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
## Marca Fabricante Producto Precio
## Length:0 Length:0 Length:0 Min. : NA
## Class :character Class :character Class :character 1st Qu.: NA
## Mode :character Mode :character Mode :character Median : NA
## Mean :NaN
## 3rd Qu.: NA
## Max. : NA
## Ult.Costo Unidades F.Ticket NombreDepartamento
## Min. : NA Min. : NA Min. : NA Length:0
## 1st Qu.: NA 1st Qu.: NA 1st Qu.: NA Class :character
## Median : NA Median : NA Median : NA Mode :character
## Mean :NaN Mean :NaN Mean :NaN
## 3rd Qu.: NA 3rd Qu.: NA 3rd Qu.: NA
## Max. : NA Max. : NA Max. : NA
## NombreFamilia NombreCategoria Estado Mts.2
## Length:0 Length:0 Length:0 Min. : NA
## Class :character Class :character Class :character 1st Qu.: NA
## Mode :character Mode :character Mode :character Median : NA
## Mean :NaN
## 3rd Qu.: NA
## Max. : NA
## Tipo.ubicación Giro Hora.inicio Hora.cierre
## Length:0 Length:0 Length:0 Length:0
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
## Nota: esto no lo usaremos , pondremos precios negativos como absoluto
Tecnica 2. remover valores duplicados
Cuantos renglones duplicados tenemos
bd1[duplicated(bd1),]## vcClaveTienda DescGiro Fecha Hora Marca
## 6 MX001 Abarrotes 19/06/20 08:16:21 a. m. NUTRI LECHE
## 7 MX001 Abarrotes 19/06/20 08:23:33 a. m. DAN UP
## 8 MX001 Abarrotes 19/06/20 08:24:33 a. m. BIMBO
## 9 MX001 Abarrotes 19/06/20 08:24:33 a. m. PEPSI
## 10 MX001 Abarrotes 19/06/20 08:26:28 a. m. BLANCA NIEVES (DETERGENTE)
## Fabricante Producto Precio
## 6 MEXILAC Nutri Leche 1 Litro 16.0
## 7 DANONE DE MEXICO DANUP STRAWBERRY P/BEBER 350GR NAL 14.0
## 8 GRUPO BIMBO Rebanadas Bimbo 2Pz 5.0
## 9 PEPSI-COLA MEXICANA Pepsi N.R. 400Ml 8.0
## 10 FABRICA DE JABON LA CORONA Detergente Blanca Nieves 500G 19.5
## Ult.Costo Unidades F.Ticket NombreDepartamento NombreFamilia
## 6 12.31 1 1 Abarrotes Lacteos y Refrigerados
## 7 14.00 1 2 Abarrotes Lacteos y Refrigerados
## 8 5.00 1 3 Abarrotes Pan y Tortilla
## 9 8.00 1 3 Abarrotes Bebidas
## 10 15.00 1 4 Abarrotes Limpieza del Hogar
## NombreCategoria Estado Mts.2 Tipo.ubicación Giro
## 6 Leche Nuevo León 60 Esquina Abarrotes
## 7 Yogurt Nuevo León 60 Esquina Abarrotes
## 8 Pan Dulce Empaquetado Nuevo León 60 Esquina Abarrotes
## 9 Refrescos Plástico (N.R.) Nuevo León 60 Esquina Abarrotes
## 10 Lavandería Nuevo León 60 Esquina Abarrotes
## Hora.inicio Hora.cierre
## 6 8:00 22:00
## 7 8:00 22:00
## 8 8:00 22:00
## 9 8:00 22:00
## 10 8:00 22:00sum(duplicated(bd1))## [1] 5Eliminar renglones duplicados
bd3 <- bd1
library(dplyr)
bd3 <- distinct(bd3)Tecnica 3. errores tipograficos y errores similares
Precios ne absoluto
bd4 <- bd3
bd4$Precio <- abs(bd4$Precio)
summary(bd4)## vcClaveTienda DescGiro Fecha Hora
## Length:200620 Length:200620 Length:200620 Length:200620
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
## Marca Fabricante Producto Precio
## Length:200620 Length:200620 Length:200620 Min. : 0.50
## Class :character Class :character Class :character 1st Qu.: 11.00
## Mode :character Mode :character Mode :character Median : 16.00
## Mean : 19.45
## 3rd Qu.: 25.00
## Max. :1000.00
## Ult.Costo Unidades F.Ticket NombreDepartamento
## Min. : 0.38 Min. : 0.200 Min. : 1 Length:200620
## 1st Qu.: 8.46 1st Qu.: 1.000 1st Qu.: 33967 Class :character
## Median : 12.31 Median : 1.000 Median :105996 Mode :character
## Mean : 15.31 Mean : 1.262 Mean :193994
## 3rd Qu.: 19.23 3rd Qu.: 1.000 3rd Qu.:383008
## Max. :769.23 Max. :96.000 Max. :450040
## NombreFamilia NombreCategoria Estado Mts.2
## Length:200620 Length:200620 Length:200620 Min. :47.0
## Class :character Class :character Class :character 1st Qu.:53.0
## Mode :character Mode :character Mode :character Median :60.0
## Mean :56.6
## 3rd Qu.:60.0
## Max. :62.0
## Tipo.ubicación Giro Hora.inicio Hora.cierre
## Length:200620 Length:200620 Length:200620 Length:200620
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
## Cantidades en enteros
bd5 <- bd4
bd5$Unidades <- ceiling(bd5$Unidades)
summary(bd5)## vcClaveTienda DescGiro Fecha Hora
## Length:200620 Length:200620 Length:200620 Length:200620
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
## Marca Fabricante Producto Precio
## Length:200620 Length:200620 Length:200620 Min. : 0.50
## Class :character Class :character Class :character 1st Qu.: 11.00
## Mode :character Mode :character Mode :character Median : 16.00
## Mean : 19.45
## 3rd Qu.: 25.00
## Max. :1000.00
## Ult.Costo Unidades F.Ticket NombreDepartamento
## Min. : 0.38 Min. : 1.000 Min. : 1 Length:200620
## 1st Qu.: 8.46 1st Qu.: 1.000 1st Qu.: 33967 Class :character
## Median : 12.31 Median : 1.000 Median :105996 Mode :character
## Mean : 15.31 Mean : 1.262 Mean :193994
## 3rd Qu.: 19.23 3rd Qu.: 1.000 3rd Qu.:383008
## Max. :769.23 Max. :96.000 Max. :450040
## NombreFamilia NombreCategoria Estado Mts.2
## Length:200620 Length:200620 Length:200620 Min. :47.0
## Class :character Class :character Class :character 1st Qu.:53.0
## Mode :character Mode :character Mode :character Median :60.0
## Mean :56.6
## 3rd Qu.:60.0
## Max. :62.0
## Tipo.ubicación Giro Hora.inicio Hora.cierre
## Length:200620 Length:200620 Length:200620 Length:200620
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
## Tecnica 4. convertir tipos de datos
Convertir de caracter a fecha
bd6 <- bd5
bd6$Fecha <- as.Date(bd6$Fecha, format = "%m/%d/%Y")
tibble(bd6)## # A tibble: 200,620 × 20
## vcCla…¹ DescG…² Fecha Hora Marca Fabri…³ Produ…⁴ Precio Ult.C…⁵ Unida…⁶
## <chr> <chr> <date> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl>
## 1 MX001 Abarro… NA 08:16:21… NUTR… MEXILAC Nutri … 16 12.3 1
## 2 MX001 Abarro… NA 08:23:33… DAN … DANONE… DANUP … 14 14 1
## 3 MX001 Abarro… NA 08:24:33… BIMBO GRUPO … Rebana… 5 5 1
## 4 MX001 Abarro… NA 08:24:33… PEPSI PEPSI-… Pepsi … 8 8 1
## 5 MX001 Abarro… NA 08:26:28… BLAN… FABRIC… Deterg… 19.5 15 1
## 6 MX001 Abarro… NA 08:26:28… FLASH ALEN Flash … 9.5 7.31 1
## 7 MX001 Abarro… NA 08:26:28… VARI… DANONE… Danone… 11 11 1
## 8 MX001 Abarro… NA 08:26:28… ZOTE FABRIC… Jabon … 9.5 7.31 1
## 9 MX001 Abarro… NA 08:26:28… ALWA… PROCTE… T Feme… 23.5 18.1 1
## 10 MX001 Abarro… NA 03:24:02… JUMEX JUMEX Jugo D… 12 12 1
## # … with 200,610 more rows, 10 more variables: F.Ticket <int>,
## # NombreDepartamento <chr>, NombreFamilia <chr>, NombreCategoria <chr>,
## # Estado <chr>, Mts.2 <int>, Tipo.ubicación <chr>, Giro <chr>,
## # Hora.inicio <chr>, Hora.cierre <chr>, and abbreviated variable names
## # ¹vcClaveTienda, ²DescGiro, ³Fabricante, ⁴Producto, ⁵Ult.Costo, ⁶UnidadesConvertir de caracter entero
bd7 <- bd6
bd7$Hora <- substr(bd7$Hora, start = 1, stop = 2)
tibble(bd7)## # A tibble: 200,620 × 20
## vcCla…¹ DescG…² Fecha Hora Marca Fabri…³ Produ…⁴ Precio Ult.C…⁵ Unida…⁶
## <chr> <chr> <date> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl>
## 1 MX001 Abarro… NA 08 NUTRI LE… MEXILAC Nutri … 16 12.3 1
## 2 MX001 Abarro… NA 08 DAN UP DANONE… DANUP … 14 14 1
## 3 MX001 Abarro… NA 08 BIMBO GRUPO … Rebana… 5 5 1
## 4 MX001 Abarro… NA 08 PEPSI PEPSI-… Pepsi … 8 8 1
## 5 MX001 Abarro… NA 08 BLANCA N… FABRIC… Deterg… 19.5 15 1
## 6 MX001 Abarro… NA 08 FLASH ALEN Flash … 9.5 7.31 1
## 7 MX001 Abarro… NA 08 VARIOS D… DANONE… Danone… 11 11 1
## 8 MX001 Abarro… NA 08 ZOTE FABRIC… Jabon … 9.5 7.31 1
## 9 MX001 Abarro… NA 08 ALWAYS PROCTE… T Feme… 23.5 18.1 1
## 10 MX001 Abarro… NA 03 JUMEX JUMEX Jugo D… 12 12 1
## # … with 200,610 more rows, 10 more variables: F.Ticket <int>,
## # NombreDepartamento <chr>, NombreFamilia <chr>, NombreCategoria <chr>,
## # Estado <chr>, Mts.2 <int>, Tipo.ubicación <chr>, Giro <chr>,
## # Hora.inicio <chr>, Hora.cierre <chr>, and abbreviated variable names
## # ¹vcClaveTienda, ²DescGiro, ³Fabricante, ⁴Producto, ⁵Ult.Costo, ⁶Unidadesbd7$Hora <- as.integer(bd7$Hora)
str(bd7)## 'data.frame': 200620 obs. of 20 variables:
## $ vcClaveTienda : chr "MX001" "MX001" "MX001" "MX001" ...
## $ DescGiro : chr "Abarrotes" "Abarrotes" "Abarrotes" "Abarrotes" ...
## $ Fecha : Date, format: NA NA ...
## $ Hora : int 8 8 8 8 8 8 8 8 8 3 ...
## $ 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 9.5 11 9.5 23.5 12 ...
## $ 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 4 4 4 4 5 ...
## $ 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 "8:00" "8:00" "8:00" "8:00" ...
## $ Hora.cierre : chr "22:00" "22:00" "22:00" "22:00" ...Tecnica 5. valores faltantes
Cuantos NA tengo en la base de datos
sum(is.na(bd7))## [1] 113205sum(is.na(bd))## [1] 199188Cuantos na tengo por variable
sapply(bd7, function(x) sum(is.na(x)))## vcClaveTienda DescGiro Fecha Hora
## 0 0 113205 0
## Marca Fabricante Producto Precio
## 0 0 0 0
## Ult.Costo Unidades F.Ticket NombreDepartamento
## 0 0 0 0
## NombreFamilia NombreCategoria Estado Mts.2
## 0 0 0 0
## Tipo.ubicación Giro Hora.inicio Hora.cierre
## 0 0 0 0sapply(bd, function(x) sum(is.na(x)))## vcClaveTienda DescGiro Codigo.Barras PLU
## 0 0 0 199188
## Fecha Hora Marca Fabricante
## 0 0 0 0
## Producto Precio Ult.Costo Unidades
## 0 0 0 0
## F.Ticket NombreDepartamento NombreFamilia NombreCategoria
## 0 0 0 0
## Estado Mts.2 Tipo.ubicación Giro
## 0 0 0 0
## Hora.inicio Hora.cierre
## 0 0Borrar todos los registros NA de una tabla
bd8 <- bd
bd8 <- na.omit(bd8)
summary(bd8)## vcClaveTienda DescGiro Codigo.Barras PLU
## Length:1437 Length:1437 Min. :6.750e+08 Min. : 1.000
## Class :character Class :character 1st Qu.:6.750e+08 1st Qu.: 1.000
## Mode :character Mode :character Median :6.750e+08 Median : 1.000
## Mean :2.616e+11 Mean : 2.112
## 3rd Qu.:6.750e+08 3rd Qu.: 1.000
## Max. :7.501e+12 Max. :30.000
## Fecha Hora Marca Fabricante
## Length:1437 Length:1437 Length:1437 Length:1437
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
## Producto Precio Ult.Costo Unidades
## Length:1437 Min. :30.00 Min. : 1.00 Min. :1.000
## Class :character 1st Qu.:90.00 1st Qu.:64.62 1st Qu.:1.000
## Mode :character Median :90.00 Median :64.62 Median :1.000
## Mean :87.94 Mean :56.65 Mean :1.124
## 3rd Qu.:90.00 3rd Qu.:64.62 3rd Qu.:1.000
## Max. :90.00 Max. :64.62 Max. :7.000
## F.Ticket NombreDepartamento NombreFamilia NombreCategoria
## Min. : 772 Length:1437 Length:1437 Length:1437
## 1st Qu.: 99955 Class :character Class :character Class :character
## Median :102493 Mode :character Mode :character Mode :character
## Mean :100595
## 3rd Qu.:106546
## Max. :118356
## Estado Mts.2 Tipo.ubicación Giro
## Length:1437 Min. :58.00 Length:1437 Length:1437
## Class :character 1st Qu.:58.00 Class :character Class :character
## Mode :character Median :58.00 Mode :character Mode :character
## Mean :58.07
## 3rd Qu.:58.00
## Max. :60.00
## Hora.inicio Hora.cierre
## Length:1437 Length:1437
## Class :character Class :character
## Mode :character Mode :character
##
##
## Reemplazar NA con ceros
bd9 <- bd
bd9[is.na(bd9)]<-0
summary(bd9)## vcClaveTienda DescGiro Codigo.Barras PLU
## Length:200625 Length:200625 Min. :8.347e+05 Min. : 0.00000
## Class :character Class :character 1st Qu.:7.501e+12 1st Qu.: 0.00000
## Mode :character Mode :character Median :7.501e+12 Median : 0.00000
## Mean :5.950e+12 Mean : 0.01513
## 3rd Qu.:7.501e+12 3rd Qu.: 0.00000
## Max. :1.750e+13 Max. :30.00000
## 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
##
##
## Reemplazar Na con el promedio
bd10 <- bd
bd10$PLU[is.na(bd10$PLU)]<-mean(bd10$PLU, na.rm = TRUE)
summary(bd10)## vcClaveTienda 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.: 2.112
## Mode :character Mode :character Median :7.501e+12 Median : 2.112
## Mean :5.950e+12 Mean : 2.112
## 3rd Qu.:7.501e+12 3rd Qu.: 2.112
## Max. :1.750e+13 Max. :30.000
## 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
##
##
## Reemplazar negativos con cero
bd11 <- bd
bd11[bd11 < 0] <- 0
summary(bd11)## vcClaveTienda DescGiro Codigo.Barras PLU
## Length:200625 Length:200625 Min. :8.347e+05 Min. : 1.00
## Class :character Class :character 1st Qu.:7.501e+12 1st Qu.: 1.00
## Mode :character Mode :character Median :7.501e+12 Median : 1.00
## Mean :5.950e+12 Mean : 2.11
## 3rd Qu.:7.501e+12 3rd Qu.: 1.00
## Max. :1.750e+13 Max. :30.00
## 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. : 0.00 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 : 19.44 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
##
##
##
## Tecnica 6. metodo estadistico
bd12 <- bd7
boxplot(bd12$Precio, horizontal = TRUE)
boxplot(bd12$Unidades, horizontal = TRUE)
### Agregar columnas
#install.packages("lubridate")
library(lubridate)##
## Attaching package: 'lubridate'## The following objects are masked from 'package:base':
##
## date, intersect, setdiff, unionbd12$dia_de_la_semana <- wday(bd12$Fecha)
summary(bd12) ## vcClaveTienda DescGiro Fecha Hora
## Length:200620 Length:200620 Min. :0020-01-05 Min. : 1.000
## Class :character Class :character 1st Qu.:0020-03-11 1st Qu.: 5.000
## Mode :character Mode :character Median :0020-06-10 Median : 8.000
## Mean :0020-06-20 Mean : 7.299
## 3rd Qu.:0020-09-10 3rd Qu.:10.000
## Max. :0020-12-10 Max. :12.000
## NA's :113205
## Marca Fabricante Producto Precio
## Length:200620 Length:200620 Length:200620 Min. : 0.50
## Class :character Class :character Class :character 1st Qu.: 11.00
## Mode :character Mode :character Mode :character Median : 16.00
## Mean : 19.45
## 3rd Qu.: 25.00
## Max. :1000.00
##
## Ult.Costo Unidades F.Ticket NombreDepartamento
## Min. : 0.38 Min. : 1.000 Min. : 1 Length:200620
## 1st Qu.: 8.46 1st Qu.: 1.000 1st Qu.: 33967 Class :character
## Median : 12.31 Median : 1.000 Median :105996 Mode :character
## Mean : 15.31 Mean : 1.262 Mean :193994
## 3rd Qu.: 19.23 3rd Qu.: 1.000 3rd Qu.:383008
## Max. :769.23 Max. :96.000 Max. :450040
##
## NombreFamilia NombreCategoria Estado Mts.2
## Length:200620 Length:200620 Length:200620 Min. :47.0
## Class :character Class :character Class :character 1st Qu.:53.0
## Mode :character Mode :character Mode :character Median :60.0
## Mean :56.6
## 3rd Qu.:60.0
## Max. :62.0
##
## Tipo.ubicación Giro Hora.inicio Hora.cierre
## Length:200620 Length:200620 Length:200620 Length:200620
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
##
## dia_de_la_semana
## Min. :1.00
## 1st Qu.:2.00
## Median :4.00
## Mean :3.96
## 3rd Qu.:6.00
## Max. :7.00
## NA's :113205bd12$subtotal <- bd12$Precio * bd12$Unidades
summary(bd12) ## vcClaveTienda DescGiro Fecha Hora
## Length:200620 Length:200620 Min. :0020-01-05 Min. : 1.000
## Class :character Class :character 1st Qu.:0020-03-11 1st Qu.: 5.000
## Mode :character Mode :character Median :0020-06-10 Median : 8.000
## Mean :0020-06-20 Mean : 7.299
## 3rd Qu.:0020-09-10 3rd Qu.:10.000
## Max. :0020-12-10 Max. :12.000
## NA's :113205
## Marca Fabricante Producto Precio
## Length:200620 Length:200620 Length:200620 Min. : 0.50
## Class :character Class :character Class :character 1st Qu.: 11.00
## Mode :character Mode :character Mode :character Median : 16.00
## Mean : 19.45
## 3rd Qu.: 25.00
## Max. :1000.00
##
## Ult.Costo Unidades F.Ticket NombreDepartamento
## Min. : 0.38 Min. : 1.000 Min. : 1 Length:200620
## 1st Qu.: 8.46 1st Qu.: 1.000 1st Qu.: 33967 Class :character
## Median : 12.31 Median : 1.000 Median :105996 Mode :character
## Mean : 15.31 Mean : 1.262 Mean :193994
## 3rd Qu.: 19.23 3rd Qu.: 1.000 3rd Qu.:383008
## Max. :769.23 Max. :96.000 Max. :450040
##
## NombreFamilia NombreCategoria Estado Mts.2
## Length:200620 Length:200620 Length:200620 Min. :47.0
## Class :character Class :character Class :character 1st Qu.:53.0
## Mode :character Mode :character Mode :character Median :60.0
## Mean :56.6
## 3rd Qu.:60.0
## Max. :62.0
##
## Tipo.ubicación Giro Hora.inicio Hora.cierre
## Length:200620 Length:200620 Length:200620 Length:200620
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
##
## dia_de_la_semana subtotal
## Min. :1.00 Min. : 1.00
## 1st Qu.:2.00 1st Qu.: 12.00
## Median :4.00 Median : 18.00
## Mean :3.96 Mean : 24.33
## 3rd Qu.:6.00 3rd Qu.: 27.00
## Max. :7.00 Max. :2496.00
## NA's :113205bd12$Utilidad <- bd12$Precio - bd12$Ult.Costo
summary(bd12) ## vcClaveTienda DescGiro Fecha Hora
## Length:200620 Length:200620 Min. :0020-01-05 Min. : 1.000
## Class :character Class :character 1st Qu.:0020-03-11 1st Qu.: 5.000
## Mode :character Mode :character Median :0020-06-10 Median : 8.000
## Mean :0020-06-20 Mean : 7.299
## 3rd Qu.:0020-09-10 3rd Qu.:10.000
## Max. :0020-12-10 Max. :12.000
## NA's :113205
## Marca Fabricante Producto Precio
## Length:200620 Length:200620 Length:200620 Min. : 0.50
## Class :character Class :character Class :character 1st Qu.: 11.00
## Mode :character Mode :character Mode :character Median : 16.00
## Mean : 19.45
## 3rd Qu.: 25.00
## Max. :1000.00
##
## Ult.Costo Unidades F.Ticket NombreDepartamento
## Min. : 0.38 Min. : 1.000 Min. : 1 Length:200620
## 1st Qu.: 8.46 1st Qu.: 1.000 1st Qu.: 33967 Class :character
## Median : 12.31 Median : 1.000 Median :105996 Mode :character
## Mean : 15.31 Mean : 1.262 Mean :193994
## 3rd Qu.: 19.23 3rd Qu.: 1.000 3rd Qu.:383008
## Max. :769.23 Max. :96.000 Max. :450040
##
## NombreFamilia NombreCategoria Estado Mts.2
## Length:200620 Length:200620 Length:200620 Min. :47.0
## Class :character Class :character Class :character 1st Qu.:53.0
## Mode :character Mode :character Mode :character Median :60.0
## Mean :56.6
## 3rd Qu.:60.0
## Max. :62.0
##
## Tipo.ubicación Giro Hora.inicio Hora.cierre
## Length:200620 Length:200620 Length:200620 Length:200620
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
##
## dia_de_la_semana subtotal Utilidad
## Min. :1.00 Min. : 1.00 Min. : 0.000
## 1st Qu.:2.00 1st Qu.: 12.00 1st Qu.: 2.310
## Median :4.00 Median : 18.00 Median : 3.230
## Mean :3.96 Mean : 24.33 Mean : 4.142
## 3rd Qu.:6.00 3rd Qu.: 27.00 3rd Qu.: 5.420
## Max. :7.00 Max. :2496.00 Max. :230.770
## NA's :113205Exportar base de datos limpia
bd_limpia <- bd12
write.csv(bd_limpia, file = "abarrotes_bd_limpia.csv", row.names = FALSE) Conclsiones
Una limpieza de datos es importante cuando trabajamos con una base de datoa extensa, como es el caso de abarrotes. También, es importante para facilitar el trabajo a “R” al momento de realizar códigos más complejos. Así pues, es importante analizar la base de datos para comprender que datos necesitan ser eliminados o que datos puedo crear a partir de las variables que se dan en la base de datos, esto con la finalidad de tener una base de datos lógica y entendible.
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