Computational analysis is a collection of procedures that is used to process large amounts of data with a view of obtaining results based on processed data and as a result, getting their behavioral pattern. The main goal of this research paper is to apply computational techniques to analyse big data, and to analyze the behavioral pattern of such data. To effectively evaluate estimated data, a simulation is carried out to accurately model actual data and at what period of time. The simulation, based on real data, is developed to estimate actual data. A goodness-tests which consist of Chi-Square (χ^2) goodness-test is computed to ensure that data estimates are reliable and adequate.