Distribution (Categorical)

The higher the number of variables with unexpected location or proportions, the lower the data quality. Deviations from the expected central tendency or unexpected proportions might indicate data issues and should be further investigated. There is no formal interpretation rule for the histograms and bar plots; expert background knowledge on expected distribution of the targeted outcome variable in the studied sample is necessary.

SEX_0
sex Sex

OBS_BP_0
obs_bp Blood pressure examiner

DEV_BP_0
dev_bp Blood pressure device ID

OBS_SOMA_0
obs_soma Somatometry examiner

DEV_HEIGHT_0
dev_length Body height scale ID

DEV_WEIGHT_0
dev_weight Body weight scale ID

OBS_INT_0
obs_int Interview examiner

SCHOOL_GRAD_0
school Highest educational level

RELATION_STATUS_0
family Marital status

SMOKING_STATUS_0
smoking Smoking status

STROKE_YN_0
stroke Ever had stroke

MYOCARD_YN_0
myocard Ever had myocardial infarction

DIABETES_KNOWN_0
diab_known Known diabetes

CONTRACEPTIVA_EVER_0
contraception Ever taken birth control pills

HOUSE_INCOME_MONTH_0
income Monthly household income