Try to recover it using a proper software.
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To find the missing mean in a set of data, you first need to know the sum of all the values in the data set as well as the total number of values. Once you have this information, you can calculate the missing mean by dividing the sum of all the values by the total number of values. This will give you the average value of the data set, which is the missing mean.
It tells you where people are and when people have gone missing they can track them down. And the police use this data
One reason I can think of why you might not be able to find the mean of numerical data would be if there were missing data points.
To find the missing number in a data set with a mean of 15, you need to know the total number of values (n) in the data set and the sum of the existing numbers. The mean is calculated as the sum of all values divided by n. If you have the sum of the existing numbers, you can rearrange the formula: missing number = (mean × n) - sum of existing numbers. Without additional information, the exact missing number cannot be determined.
Lost data can not be regained. There may be techniques to infer the missing data from the rest of that data but it would be domain specific and you may not be able to derive meaningful statistics from such a data set.