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Data Anonymisation: Data Aggregation

This guide aims to create awareness of basic data anonymisation concepts

Explanation

What is it?

The converting of a dataset from a list of records to summarised values.

 

When to use it?

When individual records are not required and aggregated data is sufficient for the purpose.

Example

A charity organisation has records of the donations made, as well as some information about the donors. The charity organisation needs to share the data with its consultant, and determines that sharing aggregated data is sufficient. 

Before anonymisation:

Donor Monthly income ($) Amount donated in 2018 ($)
Donor 1 4000 200
Donor 2 4900 400
Donor 3 2200 150
Donor 4 4200 100
Donor 5 5500 250
Donor 6 2600 50
Donor 7 3300 100
Donor 8 5500 200
Donor 9 1600 50
Donor 10 3200 50

After anonymisation:

Monthly income ($) No. of donations received (2018) Sum of amount donated in 2018 ($)
1000-1999 1 50
2000-2999 2 200
3000-3999 2 150
4000-4999 3 700
5000-5999 2 450
Total 10 1550