Difference between Series & Data Frame
You can think of Series as a column in a DataFrame while the actual DataFrame is the table if you think of it in terms of sql
If we perform value_counts function on a column of a Data Frame, it gives us a Series which contains unique values' counts.
The type operation gives pandas.core.series.Series as a result. My question is that what is the basic difference between a Series & a Data Frame?