Animal shelters and rescue organizations hold the responsibility for catering to the needs of the animals that are abandoned or given up by their owners. The datasets are obtained from adoption centers in Austin, Texas between the years 2013 and 2017 and from Bloomington, Indiana between the years 2004 and 2017 with the aim of finding patterns and conducting data analysis on the different parameters that were involved with these adoption centers. Since 3 primary datasets dealing with different attributes related to the adoption centers are procured, all implementation in this study are purely based on this. Hence, the paper is designed to have several specific objectives and derived inferences for each of the datasets. The data is analysed with the statistical methods and visualization tools like bar plots, pie charts, line graphs, predictive regression models, all executed on R studio, an integrated development environment for R. The statistical model discussed in the data set enable us to make conclusions about why certain animals are euthanized, whether there is any particular preference for adoption, what kind of animals are taken in by adoptions centers, whether the total annual revenue gained by the adoption centers could be predicted and so forth. R has proven to be extremely useful because of its ease of use, excellent visualization tools and robust environment. © BEIESP.