Evidence 2

Charge Libraries

library(ggplot2)
library(dplyr)

## Warning: package 'dplyr' was built under R version 4.3.3

## 
## 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

library(readxl)

## Warning: package 'readxl' was built under R version 4.3.3

library(tidyr)

## Warning: package 'tidyr' was built under R version 4.3.3

VentasUS = read_xlsx("C:\\Users\\HP\\Downloads\\SP_Endeavor_Base1 Papas_VF_CLEANA (1).xlsx")
VentasMex = read_xlsx("C:\\Users\\HP\\Downloads\\SP_Endeavor_Base2Papas_VF_CLEANA (1).xlsx")

apply(is.na(VentasMex), 2, sum)>=1

##     Month    Region  CrujiCos  PicanCos SaladoCos    BBQCos  SalsaCos   QuesoCo 
##     FALSE     FALSE      TRUE     FALSE      TRUE      TRUE     FALSE      TRUE

apply(is.na(VentasUS), 2, sum)>=1

##     Month    Region CrunchyCo   SpicyCo    SaltCo     BBQCo   SalsaCo  CheeseCo 
##     FALSE     FALSE     FALSE     FALSE     FALSE     FALSE     FALSE      TRUE

Media_CC= mean(VentasMex$CrujiCos,na.rm=T)
VentasMex$CrujiCos[is.na(VentasMex$CrujiCos)] = Media_CC

Media_SC= mean(VentasMex$SaladoCos,na.rm=T)
VentasMex$SaladoCos[is.na(VentasMex$SaladoCos)] = Media_SC

Media_BC= mean(VentasMex$BBQCos,na.rm=T)
VentasMex$BBQCos[is.na(VentasMex$BBQCos)] = Media_BC

Media_QC= mean(VentasMex$BBQCos,na.rm=T)
VentasMex$QuesoCo[is.na(VentasMex$QuesoCo)] = Media_BC

Media_ChC= mean(VentasUS$CheeseCo,na.rm=T)
VentasUS$CheeseCo[is.na(VentasUS$CheeseCo)] = Media_ChC

Sales

Sales_USA

## # A tibble: 3 × 7
##   Region   CruncyCo SpicyCo SaltCo  BBQCo SalsaCo CheeseCo
##   <chr>       <dbl>   <dbl>  <dbl>  <dbl>   <dbl>    <dbl>
## 1 Region 1   901816  981901 894298 436623  613950   88878.
## 2 Region 2   890841 1063207 863442 430165  587003   65702.
## 3 Region 3   883284 1031777 838803 396945  516861   77910.

##            Region Producto_Mas_Vendido_USA
## CruncyCo Region 1                 CruncyCo
## SpicyCo  Region 2                  SpicyCo
## SaltCo   Region 3                 CruncyCo
## BBQCo    Region 1                 CruncyCo
## SalsaCo  Region 2                 CruncyCo
## CheeseCo Region 3                 CruncyCo

## Sales_Mex

## # A tibble: 3 × 7
##   Region   CrujiCos PicanCos SaladoCos BBQCos SalsaCos QuesoCo
##   <chr>       <dbl>    <dbl>     <dbl>  <dbl>    <dbl>   <dbl>
## 1 Región 1   93406    111825    60935. 34902.    92529  75383.
## 2 Región 2   83650    118768    60421. 34676.    97443  77585.
## 3 Región 3   96717.   124579    68252  31754     88014  59031.

##             Region producto_mas_vendidos_Mex
## CrujiCos  Región 1                 SaladoCos
## PicanCos  Región 2                 SaladoCos
## SaladoCos Región 3                 SaladoCos
## BBQCos    Región 1                  CrujiCos
## SalsaCos  Región 2                  PicanCos
## QuesoCo   Región 3                  PicanCos

the month with more sells for each product

Sells per month Mex

## # A tibble: 1 × 6
##   Mes_Mas_Vendido_CrujiCos Mes_Mas_Vendido_PicanCos Mes_Mas_Vendido_SaladoCos
##   <chr>                    <chr>                    <chr>                    
## 1 Abril                    Agosto                   Julio                    
## # ℹ 3 more variables: Mes_Mas_Vendido_BBQCos <chr>,
## #   Mes_Mas_Vendido_QuesoCo <chr>, Mes_Mas_Vendido_SalsaCos <chr>

Sells per month Us

## # A tibble: 1 × 6
##   Mes_Mas_Vendido_CrunchyCo Mes_Mas_Vendido_SpicyCo Mes_Mas_Vendido_SaltCo
##   <chr>                     <chr>                   <chr>                 
## 1 December                  January                 April                 
## # ℹ 3 more variables: Mes_Mas_Vendido_BBQCo <chr>,
## #   Mes_Mas_Vendido_SalsaCo <chr>, Mes_Mas_Vendido_CheeseCo <chr>

Sales for last 3 months

Sales for last 3 months Mex

For Month

Sales for last 3 months Us

For Month

Conclusion

Compare the behaviorr of the sales of CheeseCo and QuesoCo

The sales of CheeseCo and QuesoCo are typically lower in the United States compared to Mexico. This difference can be attributed to cultural preferences, with cheese playing a more central role in Mexican cuisine. Additionally, the Mexican market may have less competition and stronger brand loyalty for products like QuesoCo. Economic factors, such as disposable income levels and price sensitivity, also influence purchasing behavior, with cheese products potentially being more affordable and accessible in Mexico due to lower living costs. Overall, cultural, market, and economic factors contribute to the disparity in sales between the two countries.