Visual Analytics for Big Data Using R

The growth in volumes of data has affected today´s large organization, where commonly used software tools to capture, manage, and process the data cannot handle big data effectively. The main challenge is that organizations must analyze a large amount of big data and extract useful information or knowledge for future actions in a short time. This type of demands has produced the markets for various innovative big data control mechanisms, such as visual analytics for big data. In this paper, we propose to visually analyze the big data using R statistical software. The proposed method is composed of three steps. In the first step, we extract the data set from the target Web site. In the second step, we parse the extracted raw data according to the types, and store in a database. In the third, we perform visual analysis from the stored data in database using R statistical software.