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Hello, and welcome to this data quality tutorial. First, let us understand. What is data quality? Now, basically data is of high quality if it does not suffer from data issues. There are many possible issues with data. We will see multiple examples shortly. Now, data is used for many functions such as operations, customer management, marketing analysis and decision making. if the data is of poor quality, there are several problems like wastage of time and money due to incorrect reports, poor decisions and frustration. Now, let us see examples of data issues. First issue is incompleteness. Here is the Customer table with columns FirstName, LastName, BillingAddres, Shipping Address and Email. For example, Dave has a billing address of 111 Main City street, and the email is dave@example.co Now, here LastName is missing, Shipping Address is missing and the Email is truncated. Robert has the default BillingAddress and his ShippingAddress is missing. It is also possible that the Customer tab