Predicting Target Students' Population for Lunch "Thali" Available Near College Campus

Big data analysis requires extensive use of statistical modelling which works efficiently in many organizations. Decision tree is a versatile business analytics tool for finding out trends, patterns or relationships in the data. Chi-square Automatic Interactive Detection (CHAID) is a tool which enables us in examining relation between predictor variable and target variable. With this tool one can predict the target population for any product/ service. A large number of students come to Pune for education. Daily, they are in the college campus for more than 8 hours. They have to take their lunch near college campus. There are various types of food available near campus area. A study is conducted to predict, a target students population for lunch viz "Thali" which would be available near their college campus. Questionnaire is prepared to find out students' inclination for this lunch and associated confounding categorical variables. With the help of repeated applications of chi-square tests between students' inclination for the lunch and associated variables, a target population is found out.