Question

Let's say that you want to find distinct values of two columns in a dataset. If using the Distinct recipe without computing counts of deduplicated rows, how many columns will be in the output dataset?

Answer 1

Using the Distinct recipe to deduplicate two columns without computing counts will result in an output dataset containing just those two columns, each row showing a unique combination of values.

Step-by-step explanation:

When you use a Distinct recipe or tool for data processing to find unique values across two columns in a dataset, and you do not compute counts of deduplicated rows, the output dataset will typically contain exactly two columns. This is because the Distinct operation will identify unique combinations of values from the two specified columns and output only one instance of each unique combination. Every row in the output will thus represent a distinct pair of values.

Answer 2

When using the Distinct recipe, without computing the count of deduplicated rows, the output dataset will have the same number of columns that you are deduplicating, which is two columns in this scenario.

Step-by-step explanation:

If you want to find distinct values of two columns in a dataset using a technique such as the Distinct recipe and you are not computing counts of deduplicated rows, the output dataset will typically contain the same number of columns you are deduplicating—in this case, two columns. The distinct operation will filter the dataset down to unique combinations of the values in the two specified columns, removing any duplicate rows based on these two columns. However, it's essential to understand the context and the specific software or programming language you're working with, as the functionality might differ slightly.