Connecting to the UK Bank Holiday API

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Connecting to the UK Bank Holiday API
Pull through the official list of Bank Holidays in the UK.

Posted by Sam Lowrie on 31 October 2024

Working out when UK bank holidays fall every year can be a pain when creating your PBI report.

Thankfully there is an easy option you can use, the UK bank holiday API.

Uk Gov Bank Holiday API

You can test the output by putting the Endpoint directly in your browser.

Copy the Endpoint URL into the Web connector data source.

Connect using Web

This is an open API so doesn't require a key.

Once connected you will see a list of UK countries, feel free to filter this to the country you need.

Expand the values into lists

Click on this icon to expand the data.

The List datatype can be made up of multiple rows and columns. We need to split this into rows to make it useable.

Expand to new rows

Choose Expand to New Rows to return one row for each day.

The Record datatype is a row that has multiple columns, we need to expand this to extract the separate columns.

A record is a row with multiple columns

Expand the records to get separate columns.

From here you can untick any columns that you don't need returned.

Choose the columns you want to keep

Click OK to return the ticked columns.

We now have a table listing all bank holidays back to 2018. We can now join this onto our calendar table to check which days are bank holidays.

All important bunting

My favourite column is events.bunting, very important stuff!

Switching back to the Model view we see all our existing tables.

Model view with various tables

We need to connect this table into our model.

Drag the events.date column from bank-holidays table and drop it onto the Date column of your Calendar table.

Creating a new relationship

Power BI has highlighted the two columns we connected together.

Click Save and you should see the new relationship has been created between the tables.

Joining on the Bank Holiday field

Now you can use this table for filtering your data!

Some other pages relevant to the above blog include:

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