Adding noise

Adding noise (English: noise addition) adds random “noise” (or random variation) to the data to hide exact values while preserving the statistical properties and regularities of the dataset. Initially, it is necessary to choose how much “noise” to add, and then add or subtract a random value within the “noise” for each record (for each value of the selected identifier).

Example

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 adding "noise" to the age of respondents (+/-2 years)
ID Age City Diagnosis
101 33 Sigulda Hypertension
102 30 Ape Diabetes
103 42 Dobele Migraine
104 34 Suntaži Multiple sclerosis
105 20 Riga Asthma
106 46 Liepaja Hypertension

Adding noise

Adding noise (English: noise addition) adds random “noise” (or random variation) to the data to hide exact values while preserving the statistical properties and regularities of the dataset. Initially, it is necessary to choose how much “noise” to add, and then add or subtract a random value within the “noise” for each record (for each value of the selected identifier).

Example

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 adding "noise" to the age of respondents (+/-2 years)
ID Age City Diagnosis
101 33 Sigulda Hypertension
102 30 Ape Diabetes
103 42 Dobele Migraine
104 34 Suntaži Multiple sclerosis
105 20 Riga Asthma
106 46 Liepaja Hypertension