Data visualization can significantly improve the manufacturing process by providing a clear and interactive way to analyze and interpret complex data. For instance, it can be used to monitor the performance of various components over time, identify patterns and trends, and detect anomalies or issues that may affect the quality or efficiency of the manufacturing process. This can lead to more informed decision-making, improved quality control, and increased operational efficiency. In the case of Tesla Motors, data visualization was used to monitor the pressure in car tires over time, which helped in ensuring that the tires are properly inflated when a car leaves the factory, predicting when tires are likely to go flat, and understanding customer behavior in response to a low-pressure alert.
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