Embedded Files
Visualization showing the prevalence of Diabetes by Age Group:
This chart indicates the proportion of individuals with diabetes within specific age ranges, providing insight into which age groups are most affected by diabetes.
We observe people in the older age range, particularly from the onset of 50s become prone to be diagnosed with diabetes, although the scale is still higher in 40s to 50s.
It increases subsequently in 60s and is predominantly higher between the age range of 60s to 80s.
Visualization showing individuals by BMI & proportion with Diabetes
The graph beside shows the proportion of individuals with diabetes across different BMI categories. The BMI categories include Underweight, Normal, Overweight, and Obese.
From the visualization, we can observe the following:
The proportion of individuals with diabetes is higher in the overweight and obese BMI categories compared to the underweight and normal categories.
This suggests a positive correlation between higher BMI and the prevalence of diabetes, indicating that individuals with higher BMI values are more likely to have diabetes.
This insight highlights the importance of maintaining a healthy BMI to reduce the risk of diabetes.
Heatmap showing the prevalence of diabetes in the dataset
& relationships between different health metrics:
The heatmap visualizes the correlation coefficients between all pairs of features within the dataset, providing insights into how each feature is related to the others.
The color intensity and the numerical values in each cell represent the strength and direction of the correlation. Positive values indicate a positive correlation, negative values indicate a negative correlation, and values close to zero indicate little to no correlation.
This visualization helps identify which variables are strongly correlated and which ones are not, providing valuable insights for further analysis.
Gender Based Distribution
The graph beside shows simple representation of how diabetes distribution is spread across in US in different genders.
More or less it is almost the same when compared to the count between males and females.
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