Data visualization can significantly contribute to the development of smart cars. For instance, it can be used to analyze and interpret the vast amount of sensor data these cars produce. This data can then be visualized in an interactive chart or graph, allowing for easier understanding and interpretation. This can help in monitoring various aspects of the car's performance, such as tire pressure, and can even be used for predictive modeling, such as predicting when tires are likely to go flat. Thus, data visualization can provide valuable insights that can be used to improve the performance and safety of smart cars.
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