Now that you have a way of knowing which rows match the regular expression, you will be able to retrieve them all by creating a filter on this new column.
Click the header of the city_matching column to select its content.
In the data profiling area, on the bottom right of the screen, you can see a horizontal bar chart showing the repartition between the
falsevalues in the column. Point your mouse over each bar to display the exact number of occurrences.
To create the filter, click the true bar.
You can see from the filter bar that the filter was applied on the dataset, and customers data is only displayed if it matches the condition previously set by the regular expression.
With this filter based on several values, you have isolated sales involving customers from the specified cities. However, out of the five values you were looking for, only four were retrieved and it looks like there is no row involving Paris in the dataset. So you will now check if the filter potentially matches more rows beyond your current sample.