Ensuring data quality
Imagine you are a business analyst at "HealthTrack," a wellness company aiming to improve people's health through data-driven insights. You want to investigate if different customer segments such as age and gender respond differently to the exercise programs in terms of health metrics such as heart rate and steps taken. This would help customize their offerings of workout plans and nutrition guidance, resulting in improved customer satisfaction and better health outcomes.
You extracted a dataset containing information about customers' exercise habits and their corresponding health metrics. Given the dataset snapshot below for the month of August, identify the data quality issues present.
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Data Fluency
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