Question 4: Consider the dataset below ID Height Weight Age 68718078 162 74 38356413 157 79 44515738 156 67 66044327 153 79 57130994 160 79 10380497 154 70 63443514 151 75 66044327 153 79 29859956 156 79 17758505 156 75 50963556 168 71 Question 4 Gender Employment Status Name of Employer Yearly Income 34 Male employed ABC Corp 34225 41 Male yes PJM Power 45946 48 Female unemployed 0 34 Female unemployed 37467 58 Female employed Exelon 50855 60 amfm employed American airlines 36509 40 Male employed United auto insurance 40691 34 Female unemployed 37467 33 Male employed Ohare Airport 54803 28 Male employed Mcdonalds 36637 57 Male unemployed 0 36 Female employed Smith Law offices 51328 57 male employed Google 41026 36 Female employed Smith Law offices 51328 34 Female unemployed 29409 27 female employed General Memorial Hosiptal 32000 29 male employed Streamvalley high school 46923 154 61 73834937 82097552 73834937 71 156 154 61 160 79 71791428 48114063 43600665 153 69 167 64 Q4-Part A: 1. Name Three inconsistencies in the data 2. What python function would use use to identify them? Answer for 1 Answer for 2