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This project requires you to apply your core Python skills! You will use variables, lists, dictionaries, json files, while loops, and others! It is a great opportunity to assess how well you have progressed with Python and whether you can use the language without me explicitly stating each task in the form of small questions in a problem set.

In this case, you are a data analyst working at Mattson Global. Mattson Global is looking to expand more internationally. Your goal is to evaluate a set of 30 markets identified by the executive team to determine which of the 30 markets are most attractive. They have provided you with an explanatory regression model to start your analyses.

You will perform a simulation using that explanatory regression model that management had previously constructed. Instead of inserting specific values into the regression model, you will simulate different values assuming normal distributions and uniform distributions based on the inputs that management has provided you in the form of a JSON file.