Visual exploration assists in quality control in the automobile industry by providing a way to tap into and analyze the vast amount of sensor data produced by cars. For instance, Tesla's Data Scientist, Anmol Garg, developed an interactive chart that shows the pressure in a car's tires over time. This visualization was used to check if tires are properly inflated when a car leaves the factory, how often customers reinflate them, how long customers take to respond to a low-pressure alert, to find leak rates, and to do some predictive modeling on when tires are likely to go flat. The pressure of all four tires is visualized on a scatter plot, which is clear to its intended audience.
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