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The source of data is Kaggle dataset for cardiovascular diseases which contains 70,000 records with patient information. The attributes include objective information, subjective information, and results of medical examination. Table 1.2 enumerates the 12 attributes.

A heatmap is a clear representation of data where data values are represented as colors. It is used to get a clear view of the relationship between the features. The coefficient of relationship is a factual proportion of the strength of the association between the general developments of two factors with values going between −1.0 and 1.0. A determined number more prominent than 1.0 or less than −1.0 indicates a slip-up in the relationship estimation. Figure 1.1 represents the heat map for the input parameters of the defined dataset.

Table 1.2 Dataset attributes.

Feature name	Variable name	Value type
Age	Age	No. of days
Height	Height	Centimeters
Weight	Weight	Kilograms
Gender	Gender	Categories
Systolic blood pressure	Ap_hi	Integer
Diastolic blood pressure	Ap_lo	Integer
Cholesterol	Cholesterol	1: Standard; 2: Above standard; 3: Well above standard.
Glucose	Glu	1: Standard; 2: Above standard; 3: Well above standard.
Smoking	Smoke	Dual
Alcohol intake	Alco	Dual
Physical activity	Active	Dual
Presence or absence of CVDs	cardio	Dual

Figure 1.1 Heatmap of input attributes.

Figures 1.2, 1.3, 1.4, and 1.5 display the distribution of some of the input values such as age, gender, presence of cardiovascular disease, and cholesterol type.