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Apart from tire pressure, sensor data can be used to monitor various aspects of a car's performance such as engine temperature, fuel efficiency, brake wear, battery health, and overall engine performance. It can also be used to detect anomalies in the car's performance, predict potential issues, and schedule preventive maintenance.
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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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You can now save hours of work with our ultimate Charts Collection. This deck includes a variety of useful charts that you can copy and paste into any...
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