Knowing the type of data is widely required to make better and faster decisions. However, the process requires the user to provide information about the configuration of the data. This paper presents the first attempt to analyze data to extract it is type automatically from multi-dimensional data sets. This is useful not only for experts but also to users, also reduces manual search effort. Layers of multi-dimensional data are formed and evaluated, and the focus is on the most efficient ones. Experiments on experimental and real data demonstrate the efficiency and effectiveness of the proposed method.

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The software engineering is a domain who cares for the production of the software development with high quality in response to the requirements of the market and delivered on time. This paper will discuss the software engineering, in their applications, and software development to deal with big data, as hyperspectral and medical imagery data sets. The role of the software visualization in the interpretation of the data, where the results will be presented to the user's clearly and beautiful. A color space is a method to specify, create and visualize color. There are several types of systems colors for example RGB, CIE XYZ, HSV and HSI. Color mapping has an important role in the process of the visualization to understand data.

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Color blindness is an inherited genetic ocular disorder. Acquired or congenital color blindness can become a major cause of problems in everyday life tasks. Contributing to solving the trouble of color blindness is important. Because the problem of color blindness leads to the non-discrimination of data seen by the infected person. Data visualization can contribute to solving the hassle of color blindness. This paper proposed a new technique using data visualization ideas that may contribute to easy data recognition. Our focus has been on monochromacy color blindness. The results are based on the famous Ishihara data sets measuring color blindness. The efficiency of the results was mathematically proven using equations and images via a website to simulate color blindness.