EDA on Obesity or CVD risk Data

Kaggle links

1. Original Data
2. Multi-Class Prediction of Obesity Risk

About the data

The data consist of the estimation of obesity levels in people from the countries of Mexico, Peru and Colombia, with ages between 14 and 61 and diverse eating habits and physical condition , data was collected using a web platform with a survey where anonymous users answered each question

The attributes related with eating habits are: Frequent consumption of high caloric food (FAVC), Frequency of consumption of vegetables (FCVC), Number of main meals (NCP), Consumption of food between meals (CAEC), Consumption of water daily (CH20), and Consumption of alcohol (CALC). The attributes related with the physical condition are: Calories consumption monitoring (SCC), Physical activity frequency (FAF), Time using technology devices (TUE), Transportation used (MTRANS)

variables obtained :

Gender, Age, Height and Weight.

NObesity is a Dependent variable

NObesity values are:

1. Underweight = Less than 18.5
2. Normal = 18.5 to 24.9
3. Overweight = 25.0 to 29.9
4. Obesity I = 30.0 to 34.9
5. Obesity II = 35.0 to 39.9
6. Obesity III = Higher than 40