This is a strange question, maybe bordering on hypothetical.
I have a dataset containing all the billionaires in the world. It has 2000 or so rows, and many features such as rank, final_worth, name, age, country, industry, selfmade, gender, birthdate, title, gdp_of_country, and so on. There are about 35 features, and I wont bother with listing them all as they are not relevant to this particular question. What I am interested in is one particular feature called “Date”. In this “Date” feature, all the observations are the exact same, that is,”04-04-2023 05:01:00″. I believe it to be the time this data was collected. A single point of time. This made me conclude that this dataset is a cross-sectional one, although it was already clear.

Now the question I get is-
“Considering ‘date’ as a time variable, how to convert this dataset into a time series dataset“.

Since I got this question, I further observed the observations of the “date” column, and again confirmed that all the observations are “04-04-2023 05:01:00”. So I am not sure how I would go about converting it into a time series dataset since there is only a single point of time. Maybe the question itself acknowledges that this dataset is a cross-sectional one since the question has the word “convert” in it.
But it still needs to be answered, and I am not sure how to proceed about it. That is why I consider this a “Hypothetical” question.
Can I get some ideas on what my next steps should be regarding this?