Ejercicio Equipo Delivery
Cesar Charria
3/12/2020
Objetivo
Este ejercicio tiene el objetivo de aplicar el Clustering jerarquico a un conjunto de datos nutricionales de tal manera que se puedan encontrar las combinaciones adecuadas de alimentos. Dataset disponible en Kaggle (https://www.kaggle.com/ofrancisco/emoji-diet-nutritional-data-sr28/data).
#Cargamos las librerias
#Cargamos el conjunto de datos y observamos sus variables
## [1] "names" "Calories (kcal)"
## [3] "Carbohydrates (g)" "Total Sugar (g)"
## [5] "Protein (g)" "Total Fat (g)"
## [7] "Saturated Fat (g)" "Monounsaturated Fat (g)"
## [9] "Polyunsaturated Fat (g)" "Total Fiber (g)"
## [11] "Cholesterol (mg)" "Vitamin B6 (mg)"
## [13] "Vitamin A (IU)" "Vitamin B12 (ug)"
## [15] "Vitamin C (mg)" "Vitamin D (IU)"
## [17] "Vitamin E (IU)" "Vitamin K (ug)"
## [19] "Thiamin (mg)" "Riboflavin (mg)"
## [21] "Niacin (mg)" "Folate (ug)"
## [23] "Pantothenic Acid (mg)" "Choline (mg)"
## [25] "Calcium (g)" "Copper (mg)"
## [27] "Iron (mg)" "Magnesium (mg)"
## [29] "Manganese (mg)" "Phosphorus (g)"
## [31] "Potassium (g)" "Selenium (ug)"
## [33] "Sodium (g)" "Zinc (mg)"Calculo estadÃsticas descriptivas
## Calories (kcal) Carbohydrates (g) Total Sugar (g) Protein (g)
## Min. :0.010 Min. :0.00000 Min. :0.00000 Min. :0.000000
## 1st Qu.:0.540 1st Qu.:0.06822 1st Qu.:0.00000 1st Qu.:0.006825
## Median :1.395 Median :0.16070 Median :0.03080 Median :0.020050
## Mean :1.920 Mean :0.23736 Mean :0.08027 Mean :0.050148
## 3rd Qu.:2.735 3rd Qu.:0.30090 3rd Qu.:0.09440 3rd Qu.:0.069000
## Max. :8.980 Max. :0.98000 Max. :0.82120 Max. :0.274800
## Total Fat (g)
## Min. :0.000000
## 1st Qu.:0.001825
## Median :0.007250
## Mean :0.084650
## 3rd Qu.:0.125875
## Max. :0.995000#Graficos de dispersión
Cálculo de la matriz de correlaciones
Visualización del Dendrograma
## # A tibble: 3 x 35
## names `Calories (kcal~ `Carbohydrates ~ `Total Sugar (g~ `Protein (g)`
## <chr> <dbl> <dbl> <dbl> <dbl>
## 1 grap~ -0.685 -0.243 0.493 -0.634
## 2 melon -0.914 -0.739 -0.155 -0.577
## 3 wate~ -0.902 -0.697 -0.121 -0.650
## # ... with 30 more variables: `Total Fat (g)` <dbl>, `Saturated Fat (g)` <dbl>,
## # `Monounsaturated Fat (g)` <dbl>, `Polyunsaturated Fat (g)` <dbl>, `Total
## # Fiber (g)` <dbl>, `Cholesterol (mg)` <dbl>, `Vitamin B6 (mg)` <dbl>,
## # `Vitamin A (IU)` <dbl>, `Vitamin B12 (ug)` <dbl>, `Vitamin C (mg)` <dbl>,
## # `Vitamin D (IU)` <dbl>, `Vitamin E (IU)` <dbl>, `Vitamin K (ug)` <dbl>,
## # `Thiamin (mg)` <dbl>, `Riboflavin (mg)` <dbl>, `Niacin (mg)` <dbl>, `Folate
## # (ug)` <dbl>, `Pantothenic Acid (mg)` <dbl>, `Choline (mg)` <dbl>, `Calcium
## # (g)` <dbl>, `Copper (mg)` <dbl>, `Iron (mg)` <dbl>, `Magnesium (mg)` <dbl>,
## # `Manganese (mg)` <dbl>, `Phosphorus (g)` <dbl>, `Potassium (g)` <dbl>,
## # `Selenium (ug)` <dbl>, `Sodium (g)` <dbl>, `Zinc (mg)` <dbl>, ID <chr>
