Overview

Column 1

The prevalence of obesity is increasing globally. Obesity is associated with numerous complications, including sleep apnea, hypertension, mental illness, pregnancy complications, and reduced quality of life. Management of obesity is complex, involving multiple aspects of an individual’s lifestyle, including eating and physical activity patterns. This dataset includes data for obesity levels in individuals from Mexico, Peru, and Columbia and their eating habits and physical condition in 8/2019. This dashboard will investigate the modes of transportation among different weight groups, as the mode (walking, driving, etc) may affect activity levels and therefore weight type.

Graph 1 BMI Distribution Histogram

Graph 1 Results

Graph 1 is a histogram that displays the distribution of BMI in the dataset. The x-axis represent BMI values, which range approximately from 10-50. The y-axis shows the count of individuals for each BMI range, the highest bar above 400 individuals. The distribution is slighly right-skewed. The peak occurs in the BMI range of around 25-30, which typically corresponds to the overweight category.

Column 2

Graph 2 Obesity Type by Transportation Type Interactive Stacked Bar Chart

Graph 2 Results

Graph 2 is a stacked bar chart which visualises the number of cases across weight groups categorized by modes of transportation. The x-axis shows the 7 different weight groups. The y-axis shows the count of cases for each weight group.The bars are divided into colored segments representing modes of transportation. Public transportation is the most common mode among all weight groups. Automobile is the second most common mode. Walking, biking, and motorbiking are present only in small proportions in most weight groups. There does not appear to be significant patterns between weight and transportation mode although walking decreases as weight increases, which may be related to physical activity limitations or preferences among higher weight individuals.