Analytics visualization is part of the growth and expansion strategies that plays prominent role for the growth and prosperity of any business and to attain its short term as well as long term goal. It helps significantly to identify patterns, trends and outliers in large data sets. It majorly uses information graphics, information visualization and statistical graphics.It is one of the steps of the data science process, which states that after data has been collected, processed and modeled, it must be visualized for conclusions to be made.Analytics visualization is also an element of the broader data presentation architecture (DPA) discipline, which aims to identify, locate, manipulate, format and deliver data in the most efficient way possible. It is used worldwide to display the results and exploring advancements to share information with stakeholders. It also plays an important role in big data projects. As businesses accumulated massive collections of data during the early y