Work-life balance is key to maintaining a healthy lifestyle and corporate wellness, thereby reducing stress and preventing burnout in the workplace.1 It pointed out that long-term unbalance between work and life may induce chronic stress, which can lead to physical health issues such as hypertension, digestive troubles, chronic aches and pains, and heart problems; as well as other mental health issues such as depression, anxiety, and insomnia. Suppose you are a Data Analyst of the World Health Organisation, and you are involved in a project that aims to study the chronic stress of employees worldwide. You are given a relevant dataset named Lifestyle Data.csv, which is collected through an online survey. The data details are shown in the following data description table. FIELD DESCRIPTION Survey ID dentification ID Age Age range: 25) Daily Med # of times you think about yourself in a typical week (include mediation, praying and relaxation) Sleep Hours # of hours you sleep per night Core Circle # of people are very close to you (i.e. close family and friends) Social Network # of people you interact with during a typical day Achievement # of remarkable achievements you are proud of (over the last 12 months) Live Vision For how many years ahead is your life vision very clear for Todo_Comp How well do you complete your weekly to-do lists Lost Vacation # of days of vacation you typically lose every year Daily Shouting # of shout or sulk at somebody in a typical week Suffi Income Whether your income is sufficient to cover basic living expenses Time4Passion # of hours you spend doing what you are passionate about every day Daily Stress How much stress you typically experience every day Question 1 Based on the given background and dataset details, identify a potential business problem. State the business objective and data mining objective, and appraise the suitability of using association rule mining for solving the proposed business problem. (10 marks)