Original Features
	Column Name	Data Type	Description	Categories	Missing Values	Comment
	id	INTEGER	Unique numerical identifier for patients.	Continuous	none
	gender	TEXT	Patient gender profile	male, female, other	none	"other" is removed due to being a single instance which makes it both statistically insignificant and noise potential. Tested as statistically insignificant (Chi-Square Test), not included in formal analysis.
	age	NUMERIC	Patient's age at data collection	Continuous	none	Bin to medically accepted (CDC) categories.
	hypertension	INTEGER	Presence or absence of hypertension in patient profile.	0 (no) and 1 (yes)	none	Change to no hypertension (0) and hypertension (1) for easier interpretation.
	heart_disease	INTEGER	Presence or absence of heart disease in patient profile.	1 (no) and 1 (yes)	none	Change to no heart disease (0) and heart disease (1) for easier interpretation.
	ever_married	TEXT	Patient's history of marriage	no / yes	none	Change to never married (no) and married (yes) for easier interpretation.
	work_type	TEXT	Patient's job type.	private, self-employed, govt_job, children, never worked	none	Consider standardization if implementing modeling.
	residence_type	TEXT	Patient's residence type	urban, rural	none	Tested as statistically insignificant (Chi-Square Test), not included in formal analysis.
	avg_glucose_level	NUMERIC	Patient's average glucose level	Continuous	none	Bin to medically accepted (CDC) categories.
	bmi	NUMERIC	Patient's bmi profile	Continuous	201 null values	Bin to medically accepted (CDC) categories.
	smoking_status	TEXT	Patient's smoking history	never smoked, smokes, formerly smoked, unknown	none	Investigate "unknown" to test significance.
	stroke	INTEGER	Patient having had stroke or not ever having stroke. Target feature.	0 (no stroke) and 1 (stroke)	none	Keep 0 and 1 for modeling. Convert to had stroke (1) and no stroke (0) for easier interpretation in data analysis.
	Feature Engineered Columns
	Column Name	Data Type	Description	Categories	Missing Values	Comment
	age_group	TEXT	Binned age into CDC standard categories	children(0-17), young adult(18-24), adult (25-34), midlife adult (35-44), older adult (45-54), pre-seniors (55-64)	none
	hypertension_status	TEXT	Converted binary (0/1) values to no hypertension / hypertension	no hypertension, hypertension	none
	heart_disease_status	TEXT	Converted binary (0/1) values to no heart disease / heart disease	no heart disease, heart disease	none
	ever_married_status	TEXT	Converted no/yes to never married / married	never married, married	none
	stroke_status	TEXT	Conterted binary (0/1) to no stroke / had stroke	no stroke, had stroke	none
	glucose_category	TEXT	Binned continuous data to CDC standard categories	hypoglycemic(<70), normal (70-99), pre-diabetic (100-125), diabetic (126-199), high diabetes (200+)	none
	bmi_category	TEXT	Binned continuous data to CDC standard categories	underweight, normal weight, overweight, obesity clase 1, obesity class 2, obesity class 3	none