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Filter clauses are an essential aspect of data analysis. They allow you to select a subset of data that meets specific criteria, such as a date range or a particular category. Understanding how to use them can help you to analyze your birdie analytics data more effectively and make better-informed decisions.
Filter name | What does it do? | Why would I use it? |
Contains | The ‘contains’ filter is used to search for a specific keyword or phrase within a dataset. | For example, you may have a report with a list of client names and you want to find all the clients who have the word ‘Demo’ in their name. Using this filter allows you to surface all the relevant data and only show the clients that match your search criteria. |
Is Null | The ‘is null’ filter is used to find all the records that don’t have any data in a specific field. | For example, you may have a report with a list of carers and the tasks they have completed. If you want to find all the carers who haven’t completed care tasks, you can use the ‘is null’ filter to quickly ident |
Is in the Range | The ‘is in the range’ filter is used to filter data that falls within a specific range of values.
| For example, you may have a pay summary report, if you want to find all the pay summaries that fall within a certain date range, you can use the ‘is in the range’ filter and select a date to only show the pay summaries that match your criteria.
Please note: If you are selecting a date range, the last date you select is the day after the last day of data you will see. (e.g. if you want to see data from 1-10 April, you actually need to select the range 1-11 April) |
Matches a user attributes | The 'matches a user attributes' filter is used to match users based on their attributes. This is information that describes the user, such as their name, age, location, etc.
| For example, if you want to search for a demo client you could use a user attributes filter that searches for the word demo. Clients whose match that attribute would then show on your report. |
What does the filter section look like?
Depending on what report you are using the filter sections may look slightly different, here are two examples of reports that have different filtering layouts. The above clauses will still apply.
Filtering example 1
Filtering example 2
