Use cases

This page outlines some of the use cases for different filters.

Privacy and protection

Use the Count rows filter to aggregate the data to a higher level (e.g. to the district level) to protect individual privacy.

Use the Cut columns filter to redact columns with personally-identifiable information (such as #contact+email).

Use the Replace data filter to redact small data values (e.g. under 5 people).

Use the Select rows filter to redact rows of data from sensitive sectors (e.g. Gender-based violence).

Reporting

Use the Count rows filter to create aggregated summaries by organisation, cluster, facility type, etc.

Use the Select rows filter to extract data for a specific country, organisation, region, cluster (etc.) from a larger dataset.

Use the Select rows filter to limit the date range of a dataset.

Use the Cut columns filter to remove extra columns that are not of interest to an organisation receiving a report.

Use the Sort rows filter to display the highest or lowest values first.

Use the Append datasets filter to combine multiple input datasets following a common template (even if they have some variant columns).