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Background: A star is an astronomical object comprising a luminous spheroid of plasma held together by its gravity, which is accredited by a well-defined set of attributes, like•Relative Luminosity•Absolute Temperature•Absolute Magnitude•Relative Radius, etchaving importance of their own. Methods: In this study, we have analyzed a well-defined dataset involving stars, having a permutation of the set of attributes mentioned in the subsection above. Results: We have found that the dataset, we have worked on is apt, by comparing its nature to that of the Hertzsprung-Russell Diagram. We have also plotted some more plots, involving some tuples of attributes. Conclusions: Our results provide a concrete aptness of the dataset by using Data Science with apposite Machine Learning Techniques and provoked new plots, which may be contemplated for further improvement in literature.