What does it mean when a column in a Pandas dataframe contains a value in the form of a dictionary?

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When a column in a Pandas dataframe contains a value in the form of a dictionary, it means that each row in that column is associated with a collection of key-value pairs. The dictionary is typically used to represent additional information or metadata about the data in that row. This can be useful in cases where there is a need to include extra information that may not fit neatly into a single column or where the data requires more complex processing or analysis. The dictionary can be accessed using the .apply() method or by using indexing to extract specific values from it.