Gist b5bb72e72049a84c7a5a0b3f0e1a3498

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Gist b5bb72e72049a84c7a5a0b3f0e1a3498

✓ Published0🌍 Public

Last edited May 26, 2021

Created on May 26, 2021

The example shows how to load and prepare simulated credit-card transaction data for fraud-detection analysis. It initializes a Python environment by downloading shared helper functions and cloning a GitHub repository containing pre-transformed datasets. The code uses the `%run` magic command to execute `shared_functions.py` and checks for local data before cloning, ensuring reproducible access to the simulated data source. This setup is a prerequisite for subsequent visualization steps, though no chart or rendering API is invoked in this initialization phase.

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