I am doing some hands-on exercises, but I am stuck in a point here.

The task is to Add some time series data:

- Create a time series object for each country asset in CDF called <country>_population and associate it with its corresponding country asset.

•   Remember to associate the data as well to the data set that you created.
•   As an example, the time series for Aruba would be called Aruba_population.

- Load the data from populations_postprocessed.csv into a pandas dataframe.
- Insert the data for each country in this dataframe using client.time_series.data.insert_dataframe.
- As a check, retrieve the latest population data for the countries of Latvia, Guatemala, and Benin.
- Calculate the total population of the Europe region using the Asset Hierarchy and the time series data.

The point I stuck on:

=> “Insert the data for each country in this dataframe using client.time_series.data.insert_dataframe”.

I am not sure what does this means, although I had done an early exercise …

“Insert the population data as a dataframe”:
client.time_series.data.insert_dataframe(df, external_id_headers=False)

Could you explain me how all of this works, please?