DBP_0.2
Descriptive statistics
Provides descriptive statistics for a subset or all variables in the study data
Variable data type
Check if the declared data types in the metadata match the observed data types in the study data.
Item missingness
Presence and amount of missing data for each variable, separated by class of missingness (i.e., system missingness (NA), used missing codes and jump codes). The higher the number or percentage of missing values, the lower the data quality.
Note:
1. “ADDED: SysMiss” or “Sysmiss N” refers to NA’s (i.e., system-indicated missing values);
2. The percentage of all the columns in the table (except Measurements N (%)) are calculated over the Observation N. The percentage of Measurement N is calculated by dividing the value (Measurement N) by the difference between the number of observations and the number of jumps (Observation N - Jumps N).
‘ADDED: SysMiss’ for “DBP_0.2” is 6
Inadmissible or uncertain (improbable) numerical or time-date values
Check applied to numerical or time-date variables. If a range of values is provided in the metadata, the presence of values outside the interval is checked. These can be: inadmissible values (hard limits), improbable but plausible values (soft limits), or values outside measurement ranges (detection limits). The higher the number or percentage of values outside the limits, the lower the data quality.
Attention: values outside hard limits are removed from the following quality checks.
dataquieR 2.1.0