Construct a histogram for the variable Income with this data base

Customer ID Branch Gender Age Income Deposit Before Deposit Aerr Increase In Deposits Loans Before Loans After Increase In Loans Ratlng Recommend Before Recommend Aew 106 Chase F 58 52.1 26.5 25.8 0.7 50.4 54.9 4.5 10 Yes Yes 107 Chase M 47 49.2 17.3 28.7 11.4 42.9 59.0 16.1 9 Yes Yes 108 Chase F 57 50.1 22.0 26.9 4.9 52.2 57.2 5.0 10 No Yes 109 Chase M 32 51.1 16.2 29.3 13.1 44.7 52.2 7.5 7 No Yes 110 Chase F 61 48.0 22.4 23.1 0.7 40.6 59.9 19.3 7 No Yes 111 Chase F 39 45.5 14.8 20.5 5.7 38.2 48.2 10.0 8 Yes Yes 112 Chase M 58 49.3 15.2 18.0 2.8 46.6 59.5 12.9 7 No Yes 113 Chase M 42 50.6 26.3 18.6 >7.7 47.0 58.3 11.3 9 No Yes 114 Chase M 36 48.1 23.5 23.7 0.2 53.5 58.6 5.1 8 Yes Yes 115 Chase F 34 54.9 21.4 25.9 4.5 36.5 56.6 20.1 10 Yes Yes 116 Chase M 30 54.0 14.3 29.2 14.9 47.7 62.1 14.4 10 Yes No 117 Chase F 61 51.9 25.9 28.6 2.7 45.8 58.9 13.1 8 Yes Yes 118 Chase F 55 48.9 25.6 22.8 >28 44.5 57.8 13.3 8 No Yes 119 Chase F 39 53.2 16.7 27.7 11.0 38.3 48.6 10.3 9 No Yes 120 Chase M 61 52.7 25.9 27.0 1.1 54.3 49.2 -5.1 10 Yes Yes 121 Chase F 41 44.4 17.0 25.1 8.1 54.5 52.4 2.1 10 Yes Yes 122 Chase M 60 43.7 23.1 25.5 2.4 44.5 62.9 18.4 6 Yes Yes 123 Chase F 41 49.5 25.4 25.8 0.4 42.4 56.3 13.9 10 Yes Yes 124 Chase F 30 54.2 24.6 25.6 1.0 52.3 62.6 10.3 9 No Yes 125 Chase M 31 53.6 18.9 30.2 11.3 50.7 45.9 -4.8 10 No Yes 126 Chase M 49 52.8 21.4 31.7 10.3 43.7 61.0 17.3 7 Yes Yes 127 Chase M 32 53.5 25.5 26.2 0.7 54.5 52.6 >1 .9 8 Yes No 128 Chase F 61 46.9 14.6 30.2 15.6 38.7 45.6 6.9 8 No Yes 129 Chase M 39 44.5 22.1 31.2 9.1 44.5 56.8 12.3 7 Yes Yes 130 Chase F 58 44.2 19.3 30.1 10.8 52.5 53.3 0.8 8 No Yes 131 Chase F 42 52.0 16.3 21.9 5.6 53.0 47.3 -5.7 8 No Yes 132 Chase M 36 47.2 18.0 28.2 10.2 48.6 58.7 10.1 9 Yes Yes