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Data scientists like Anmol Garg play a crucial role in the automobile industry. They use visual exploration to tap into the vast amount of sensor data produced by cars. For instance, Garg developed an interactive chart that shows the pressure in a car's tires over time. This data can be used for various purposes such as checking 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, finding leak rates, and doing predictive modeling on when tires are likely to go flat.
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As an example, Berinato uses Tesla Motors' Data Scientist, Anmol Garg. Garg has used visual exploration to tap into the vast amount of sensor data Tesla cars produce. He developed an interactive chart that shows the pressure in a car's tires over time. "In true exploratory form, first created the visualizations and then found a variety of uses for them: to see whether tires are properly inflated when a car leaves the factory, how often customers reinflate them, and 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, however inscrutable to a general audience, is clear to its intended audience," Berinato writes.
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