If the binning you are creating correspond to an equal size interval, and your data is very spread (not uniform acquired in the observation range) you will obtain a lot of missing values equivalent with what happened when you create a histogram with too much binning that much of then does not have any individual. Try to use a binning process based on the distribution using percentiles instead of equal range intervals.