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SHIP-based example data quality report

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.

Concept relations:

    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
    dataquieR 2.5.1.9009.1