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You are constructing a linear regression model in BigQuery ML to estimate the probability of a customer buying your company's products. The model relies on a city name variable as a significant predictive feature. To facilitate the training and deployment of the model, your data needs to be structured in columns. You aim to prepare the data with minimal coding while retaining the crucial variables. What is the recommended approach?