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Problem 3. Data Cleaning (16 points) Suppose a big tech company holds a database about employees' performance for year 2022 in Table [2. Please answer
Problem 3. Data Cleaning (16 points) Suppose a big tech company holds a database about employees' performance for year 2022 in Table [2. Please answer the following questions. Table 2: Emblovee Performance (a) (4 points) (True or False) Does the ID column contain noisy data? Please justify your answer. (b) (4 points) For the 'Level' column, if we fill in the missing value with the value with highest probability, what would it be? Please justify your answer. (c) (4 points) For the 'Year of Experience' column, if we fill in the missing value with the attribute mean, what would it be? Please justify your answer. (d) (4 points) Does the Performance column contain any inconsistent data? Why
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