Data mixing

Data mixing (English: randomization) is at a set of techniques that change the veracity of data to remove the close link between the data and the person. It is based on reversing the order of the data values in the columns of a table so that the real relationship between certain indicators is no longer traceable. The overall picture of the data remains unchanged.

Example

In the example below, the data in the "City" column will be mixed. It should be remembered that with data blending it will no longer be possible to determine the relationship between parameters, calculate correlations and regressions, so it is recommended to use this method for data that are only generally representative of the study population.
Original data
ID Age City Diagnosis
101 35 Sigulda Hypertension
102 28 Ape Diabetes
103 40 Dobele Migraine
104 32 Suntaži Multiple sclerosis
105 22 Riga Asthma
106 44 Liepaja Hypertension
Anonymised dataset after urban blending
ID Age City Diagnosis
101 35 Suntaži Hypertension
102 28 Sigulda Diabetes
103 40 Dobele Migraine
104 32 Ape Multiple sclerosis
105 22 Liepaja Asthma
106 44 Riga Hypertension

Data mixing

Data mixing (English: randomization) is at a set of techniques that change the veracity of data to remove the close link between the data and the person. It is based on reversing the order of the data values in the columns of a table so that the real relationship between certain indicators is no longer traceable. The overall picture of the data remains unchanged.

Example

In the example below, the data in the "City" column will be mixed. It should be remembered that with data blending it will no longer be possible to determine the relationship between parameters, calculate correlations and regressions, so it is recommended to use this method for data that are only generally representative of the study population.
Original data
ID Age City Diagnosis
101 35 Sigulda Hypertension
102 28 Ape Diabetes
103 40 Dobele Migraine
104 32 Suntaži Multiple sclerosis
105 22 Riga Asthma
106 44 Liepaja Hypertension
Anonymised dataset after urban blending
ID Age City Diagnosis
101 35 Suntaži Hypertension
102 28 Sigulda Diabetes
103 40 Dobele Migraine
104 32 Ape Multiple sclerosis
105 22 Liepaja Asthma
106 44 Riga Hypertension