$2.$ Some data preparation techniques change the way data is represented just to make it more compatible with certain machine learning algorithms. One such technique is binning, which involves converting a continuous feature into a categorical feature. Study the dataset in Table $1$ listing the salary and age information for customers and whether or not they purchased a pension plan and generate an equal$-$frequency binning using $3$ bins of salary and age and determine the bin to which each salary and age belongs to$.$

Table $1$