Can you help with the decision tree. Note that there are missing values. So can you come up with those as well.

Draw the decision tree and/ or Create in an Expert System Shell For one month, Paul was supposed to collect information on his decision making process in granting loans at Pau Daunk Bank so that Ginger and Saurabh could use that information to create an expert system. Although Paul did make records of his decisions and criteria, the information was incomplete. Help Ginger and Saurabh make sense of his limited information and create a decision tree. They figured out that Paul grouped people into age categories of: 0 - 29, 30 - 55, 56 and older. He also grouped loan amount granted into categories of $5,000; $7,500; $10,000. First Last Age Loan Ability to Past Payment Loan Loan Name Name Type Pay Record Grant Amount Angela Vargas 35 luxury good slow yes $10,000 Pedro Serrano 27 necessity bad good no 0 William Tyler 46 necessity good DOOI yes $7,500 Maya Patel 64 frivolous good good no 0 Sara Cohen 52 necessity bad slow no 0 Paul Baker 24 luxury good poor no 0 Hui Chang 43 frivolous bad good yes $5,000 Joern Rekk 58 necessity bad good no Joseph Banks 38 luxury good poor yes $7,500 Karen Pitman 20 necessity good good yes $10,000 Ann Swenson 49 frivolous good slow yes $7,500 Tom Roberts 70 luxury good slow no 0 Charlotte Newman 50 frivolous good poor yes $7,500 Mei Li Yang 28 necessity good low yes $5,000 Billy Bob Ware 57 necessity good slow yes $5,000 Joan Mccormick 66 necessity good good yes $7,500 Ambika Arun 29 necessity good poor no 0 Olesia Stumm 18 luxury good good yes $5,000 Sacha Mantiol 25 frivolous good good no 0 George Howell 62 necessity good poor no Jacol Thompson 80 necessity good slow yes $5,000 Chuang Pen 28 luxury good slow no 0 Anapurna Shan 34 frivolous bad poor no O Yolanda Bassey 45 luxury bad slow no 0 Fujiwara Ayumi 52 luxury bad good yes $5,000 Komatsu Takumi 25 necessity bad good no Bella Berthog 32 necessity good good yes $10,000 Ariel Sarda 32 necessity bad poor no Barbara Wilson 59 luxury good good yes $5,000 Hannah Harpo 60 luxury good poor no 0 Emma Mane 46 necessity good good yes $10,000 Helen Bacerini 39 necessity good poor yes $7,500 Heath Norson 52 necessity bad good yes $5,000