Data mining is the process of extracting meaningfulinformation from a large, raw data. These processes are carriedout by various, detailed methods. And, the obtained results areused to make various interpretations and to draw conclusions.Deductions can either be made by interpreting the data aftervarious operations or by plotting the data in various forms ofgraphs. This type of interpretation over graphics is called datamining through data visualization. Generating graphs that can beused to draw various conclusions on a telecommunications dataset with the help of some packages included in the R program ispresented in the paper. It does not require upper-level math skillsto interpret these graphics; and everyone having knowledgeabout the industry and data set of the graphs has the ability toplot similar graphs and make analysis and interpretationsregarding the results obtained on the data set at hand. In thisstudy, R language was preferred as the software infrastructurefor data mining applications, and graphs were plotted forinterpretation through data visualization with data mining