Visual exploration can significantly improve the manufacturing process of cars. For instance, it can be used to analyze sensor data produced by cars. This data can be visualized in interactive charts to monitor various aspects such as tire pressure over time. This can help in ensuring that the tires are properly inflated when a car leaves the factory, tracking how often customers reinflate them, and determining how long customers take to respond to a low-pressure alert. It can also be used to find leak rates and do predictive modeling on when tires are likely to go flat. Thus, visual exploration can provide valuable insights that can be used to enhance the manufacturing process.
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