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Visualizing data helps reveal interesting patterns from large the  datasets  that might not be obvious in some representations. It also aids domain experts in extracting information, generating ideas, and formulating hypotheses from the data. Which is whyvisualizing the  data visualization  plays a huge role in the data analytics process. However visualizing high dimensional data is challenging due to the human limitation of only being able to visualize up to three dimensions. Traditional techniques are also incapable of visualizing huge amounts of data due to their processing time that increases exponentially as the number of data points increases and data also continues to grow exponentially. In fact, data generated in the past decade is much larger than all data collected in the past century combined \cite{data2013}. For now, no algorithm exists that tackles all the problems of handling big data, although there has been many works that address some specific aspects of it. \cite{xu2016exploring}