Exploratory data analysis is the crucial process of doing preliminary analyses on data in order to find patterns, identify anomalies, test hypotheses, and double-check assertions with the aid of descriptive statistic and graphical representations.
Unexpected events can irreparably damage a trip. The unplanned events, like misplacing a passport or getting into a car accident, are out of one’s control. But one can make a financial backup plan in case of unanticipated health concerns or other travel-related complications.
Travel insurance is critical because it protects against various travel-related situations, ensuring that customers do not go over budget when confronted with such circumstances.
Learn to use data visualization techniques for visually summarizing how travel companies might leverage travel insurance data to more effectively target interested individuals.
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