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A process is defined as transformation of set of inputs into desirable outputs. Inputs can be materials, methods or operations whereas outputs can be services, information or finished products. For survival of any organization and its success in the corporate world, it needs to monitor and improve the quality of its product. Quality can be defined as fitness for use and meet customers' needs by possessing desired characteristics of the product. Control is the major of performance of the process so that corrective action can be taken, wherever necessary, to improve the quality. Process control aims at producing error free products. In other words, it prevents the production of defective products. Statistical Process Control (SPC) is basically a strategy for decreasing variability in products in terms of quality. SPC methods are supported by management to provide objective by means of controlling quality in any transformation process. SPC techniques may be used to measure the degree of variation of any manufactured product, services or processes. SPC tools to extract maximum information from data. In this paper we shall discuss various methods used for collecting, presenting and analyzing most of the data related to attributes.