Converting Complex JSON to Pandas DataFrame

Welcome to ‪@epythonlab‬ In this Python tutorial, I'll delve into the exciting world of data transformation. You'll learn how to efficiently convert complex JSON data into a user-friendly pandas DataFrame. If you've ever wondered how to streamline your data analysis workflow, this tutorial is just what you need.
I hope this tutorial has equipped you with the skills to effortlessly convert complex JSON data into a structured pandas DataFrame.
Don't forget to subscribe for more insightful tutorials on Python, data science, and much more. Stay tuned for our next video, and until then, keep coding and exploring!"
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[@jmmendonca1984]

very good man!

[@davoribarra9705]

What would happen if there are key with the same name inside the inner dictionary, it would leave only the last record, wouldn't it, if so, how could this be solved?

[@epythonlab]

Ok. That means duplicated records. It will obtain all records whatever the key is duplicated but you can clean up during data analysis stage. But in dictionary the same key in the same row is not allowed. It will take only one key if there is more than one.