A data analyst works on an urgent traffic study. As a result of the short time frame, which type of data might yield the best results?

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Multiple Choice

A data analyst works on an urgent traffic study. As a result of the short time frame, which type of data might yield the best results?

When time is tight, you want data you can access and analyze quickly to produce actionable results. Historical data fits that need because it’s already collected and stored, so you can pull it up and run analyses right away. It gives you baseline patterns—typical travel times, recurring bottlenecks, and usual congestion points—that help you estimate current conditions or plan interventions without waiting for new data to be gathered. Real-time data would be ideal for up-to-the-minute decisions, but setting up live feeds and processing them quickly can take longer than the available window. Predictive data requires building and validating models, which takes time, and experimental data involves designed data collection that isn’t feasible on a short timeline. So historical data provides the fastest path to useful insights under a tight deadline.

When time is tight, you want data you can access and analyze quickly to produce actionable results. Historical data fits that need because it’s already collected and stored, so you can pull it up and run analyses right away. It gives you baseline patterns—typical travel times, recurring bottlenecks, and usual congestion points—that help you estimate current conditions or plan interventions without waiting for new data to be gathered.

Real-time data would be ideal for up-to-the-minute decisions, but setting up live feeds and processing them quickly can take longer than the available window. Predictive data requires building and validating models, which takes time, and experimental data involves designed data collection that isn’t feasible on a short timeline. So historical data provides the fastest path to useful insights under a tight deadline.

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