Imputing Location Data



I have a dataset containing information about location of an object. I have the latitudes and longitudes. But they have missing values.I wanted to convert this information to location names using already built package.
Should i go with mean imputation?Does it make any sense.


Hey, in case you’re using python - you can use the geopy package to convert the latitudes and longitudes to locations. Regarding the missing values - mean of latitudes should not be a good approach. Rather I would suggest trying to impute using the most occurring locations to impute or to predict the missing locations based on other features and then use the information further.