Distracted driving is a major problem for road safety as it is one of the main global causes of collisions and deaths. Distracted driving rates are still startlingly high even with major improvements in car safety systems and laws. This widespread problem demands a thorough examination of its origins and consequences, especially from the perspective of data science, which provides strong instruments and techniques for deciphering complicated events. All activities that take attention away from the core job of driving fall under the umbrella phrase of "distracted driving". Three broad categories of distractions exist: visual (distracting one's eyes from the road), manual (distracting one's hands from the wheel), and cognitive (distracting one's thinking from driving). Using a cell phone to text or chat, eating, drinking, interacting with other passengers, and modifying in-car entertainment or navigation systems are typical instances. Because distracted driving is a complex phenomenon that interacts with a range of environmental, behavioral, and technological factors, efforts to reduce its influence are made more difficult.