Preliminary Analysis of Data Visualization based Uber Technology using R: A Review

Understanding data is crucial right now since doing so will improve the productivity and efficiency of corporate operations across the globe. Data analysis employs methodical techniques to search for patterns, clusters, or other connections among various data kinds. Data visualization aids analysis and interpretation of data by placing data into a chart, graph or other visual format. Analytics and visualizations have the power to drill down the data to gives various rich benefits to any organization through its findings by spotting new trends and data patterns which brings more profitable business operations, new revenue prospects, improved operational efficiency and customer service and most significantly helps the organization to take smart decisions. In this paper we perform analysis and visualization on the data of one such organization i.e. Uber, the uber dataset involves uber pickups in New York city which is over 4.5 million from April through September 2014. The analysis is done using R programming language containing various libraries and packages for clear visualization and insights.