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Visual exploration can be used in the automobile industry in various ways. It can be used to monitor and analyze the performance of various parts of a vehicle over time, such as tire pressure, engine performance, and fuel efficiency. It can also be used to predict potential issues and maintenance needs based on the collected data. Furthermore, visual exploration can be used to improve the design and ergonomics of vehicles by analyzing user interaction and feedback. Lastly, it can be used in marketing and sales to analyze customer behavior and preferences.
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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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