A lightweight Python package to easily decode URL-encoded strings and convert them into JSON objects. Perfect for working with complex URL-encoded data and simplifying your data processing tasks.

pandas_data ... json_id_column: the unique identifier of the data you're trying to extract, e.g. "id" or "name" encodinglimit: the maximum amount of codes you want to generate. To save processing time ...

JSON is suitable for tree maps due to its ability to easily handle nested and hierarchical data. To encode data for a tree map in JSON, you must create a root object with a name and a children ...