Understanding the Influence of Age and Gender on Weight

The dashboard shows how different age groups and genders are distributed across various weight categories, such as “Normal Weight,” “Overweight,” and “Obesity.” This can help us see if certain age groups or genders are more likely to fall into specific weight categories.

Analyzing Risk Levels

Each person is categorized into a “Risk Level” based on their weight status, such as “Obesity Type I, II, III” or “Normal Weight.” Higher risk levels indicate a greater.

Lifestyle and Dietary Habits

The dashboard includes data on lifestyle choices, like whether individuals have a family history of obesity or how frequently they consume fast food. It also shows daily vegetable consumption levels, helping us assess whether healthy eating habits are associated with lower risk levels.

Understanding the Influence of Age and Gender on Weight

The dashboard shows how different age groups and genders are distributed across various weight categories, such as “Normal Weight,” “Overweight,” and “Obesity.” This can help us see if certain age groups or genders are more likely to fall into specific weight categories.

Analyzing Risk Levels

Each person is categorized into a “Risk Level” based on their weight status, such as “Obesity Type I, II, III” or “Normal Weight.” Higher risk levels indicate a greater likelihood of health issues related to obesity. By exploring these risk levels, we can understand the proportion of people who are at higher risk due to weight-related factors.

Lifestyle and Dietary Habits

The dashboard includes data on lifestyle choices, like whether individuals have a family history of obesity or how frequently they consume fast food. It also shows daily vegetable consumption levels, helping us assess whether healthy eating habits are associated with lower risk levels.

Interactive Insights

Users can interact with filters to explore specific groups. For example, they can select a particular age group or gender to see how these factors correlate with weight and risk levels. This makes it easy to answer questions like, “Are younger individuals less likely to be obese?” or “Do people with a family history of obesity have higher risk levels?”