Utilizing Exploratory Data Analysis for the Prediction of Campus Placement for Educational Institutions

摘要

In Exploratory Data Analysis (EDA) the given large data is visually analyzed to extract the embedded deep. Application of the technique has a wide range and aids in the informed decision making abilities of the managers. In an educational institution, the success of its imbibing model is usually measured using the career opportunities of the graduates. Hence, the placement data has an important relevance for the future plan and growth. Quite a good amount of information can be gained by all the stakeholder by carefully looking at this information. In this context, the technique of EDA can be used to visually analyze the placement of students in a higher educational institution. In this paper the data about the placement of student is visually analyzed to generate inferences using mathematical models. Based on the study it was found that student with MBA specialization in Mkt&Fin are highly placed, a vast majority of the students have Commerce and Management degrees. The score on the employability test don't seem to have a major impact on the placement of students.