Because of the large amount of air quality data being accumulated by the National Air Sampling Network (NASN) of the United States Public Health Service, it became evident that electronic processing methods would have to be developed for data interpretation and analysis. When finally developed, it was apparent that these methods would also be useful for analysis of air quality data resulting from air sampling by state and local air pollution control agencies and by research and industrial groups. The purpose of the paper is to describe the forms of computed data output and their interpretation so that other agencies can determine whether this technique would be useful to them.