In today’s world the amount of data has been exploding. Companies capture trillions of bytes of information every day about their customers, suppliers, and operations. Physical devices such as mobile phones, smart phones, and various other communicating devices generate loads of data similarly data on social networking sites will continue to grow.          Large pools of data that can be captured, communicated, aggregated, stored, and analyzed—is now part of every sector and function of the global economy. Hence it’s high time to preserve and secure this data and apply tools that can better visualize and analyse data.There are many data visualizing and analytical tools available in the market today and analyst are still working to improve these tools. In this paper we present a brief review of most of the data visualization and analysis tools. We have focused on two such tools i.e. “Data Wrangler†and “Tableau Publicâ€. Wrangler combines direct manipulation of visualized data, enabling analysts to iteratively explore the space of applicable operations and preview their effects. Through the case study presented in the paper we have shown that Wrangler significantly reduces editing time as compared to manual editing and one can focus and spend more time on analysis instead of editing.†Tableau Public†turns data into any number of visualizations from simple to complex. It also provides drag and drop options into work area which we have applied on the data and presented in this paper
