No idea of how to handle data

Competition Causality Discovery
1

I need some advise on how to approach this competition. I am specifically talking about the handling of data. Let me upfront, I have never encountered anything to do with causal inference or discovery and no data scientist. I have been getting errors such as AttributeError: ‘dict’ object has no attribute ‘shape’ to ValueError: Data must be 1-dimensional. In fact, too numerous to mention. Is there an approach to handling this data? I look forward to someone enlightening me.

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Each of the pickle files contains a dictionary. The dictionary associates a string key (containing the name of one data example). For “X_” files, the value associated with a key is a dataframe containing the data at each node of the graph. For “y_” files, the value is the adjacency matrix of that graph.

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3

Thanks for the clarification. Your response gave me the start I needed. Thanks once again.