Visual exploration can enhance the driving experience by providing valuable insights from the data collected by the car's sensors. 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 helped in several ways such as checking if the tires are properly inflated when a car leaves the factory, tracking how often customers reinflate them, and predicting when tires are likely to go flat. Thus, visual exploration can help in predictive modeling, maintenance, and improving overall driving experience.
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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.