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1.Inferences about the data type of each value in the column: A data type describes the structural format of data in a column. For example, columns that contain numeric data are type N (numeric), and columns that contain alphabetic data are type A (alphabetic).// 

2.Inferences about the data class of the column: A class is a variable that categorizes a column according to how the data in the column is used. For example, if a column contains data such as 10/04/07, the Date class is assigned to the column because 10/04/07 is an expression for a date.// 

3. The length calculation for each value in the column: Shows the total length of the values in a column.// 

4 The number of nulls in the column: Shows the total number of empty values in a column.// 

5. The format expression for each value in the column: A format expression is a pattern that describes the type of data in a column according to the type of the column. For example, if a column is of the class Date, a format expression such as YYMMDD might be assigned to the column (year, month, and day.)// 

6. Minimum, maximum, and average length of values in the column: Shows the average length of values and then calculates the minimum and maximum lengths of values in the same column.