Data Quality Problems, A student's age is missing.A student’s age is recorded as 18 in one row and 81 in another, but both rows have the same student ID., Some dates are recorded as 2026-05-10, while others are recorded as 10/05/2026., A date is written as 10/05/2026 in one row and May 10, 2026 in another., A student’s examination mark is recorded as 115 out of 100., One column contains Male, Female, and M, even though all three are intended to represent gender categories., A person's date of birth is recorded as 31 February 2005., Some customer names contain capital letters, while others use lowercase letters., A product's quantity is recorded as -3 in a table of current warehouse stock., No Data Quality Problem, A dataset contains a salary of 1,000,000 when most salaries are between 40,000 and 100,000., A customer’s phone number is missing, but the phone number is optional. All dates use the same format., The same customer appears twice because two different purchases were made on different dates., A temperature is recorded as -5°C on a winter day., A house price is much higher than all other prices in the dataset., A dataset has missing values in a column that is not needed for the planned analysis., A customer's age is recorded as 25 in one row and 26 in another because the records were collected one year apart., A dataset contains the same email address for two different people.

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