library(ggplot2)
# Importo el dataset
# install.packages("emojifont")
library(readr)
EmojisFood <- read_csv("EmojisFood.csv")
##
## -- Column specification --------------------------------------------------------
## cols(
## .default = col_double(),
## name = col_character(),
## emoji = col_character()
## )
## i Use `spec()` for the full column specifications.
View(EmojisFood)
# normalizar datos
emojiNorm<- scale(EmojisFood[,3:35])
# ASIGNACION DE NOMBRES
rownames(emojiNorm)<- EmojisFood$name
# Calculo las distancias entre datos
distancias <- dist(emojiNorm)
# agrupamiento jerarquico
clusters<- hclust(distancias)
library('ggdendro')
# dendograma
dendograma<- ggdendrogram(clusters)
dendograma

library('stringi')
labels <- EmojisFood[,c(1,2)]
# function para adicionar datos de labels
trimEmojiCode <- function (df,order){
for(i in 1:nrow(df)){
index <- order[i]
df[index,3] <- order[i]
tmp <- strsplit(stringi::stri_escape_unicode(df[index,2]),"\\\\U000")
df[i,4] <- tmp[[1]][2]
}
colnames(df)<- c('name','emoji','id','code')
return (df)
}
# Nuevo dataset de labels
labels <- trimEmojiCode(labels, clusters$order)
library('ggdendro')
library('ggimage')
dendrograma <- ggdendrogram (clusters)
dendrograma <- dendrograma + geom_emoji(data=labels, aes(id,-0.3,image=code),size=0.02)
dendrograma
