explain the results using the mean

[28]: dataframework.describe() [28] : CaseOrder Zip Lat Lng Population Children Age Income Outage sec perweek Email .. MonthlyCharge Bandwidth GB Year count 10000.00000 10000.000000 10000.000000 10000.000000 10000.000000 10000.0000 10000.000000 10000.000000 10000.000000 10000.000000 .. 10000.000000 10000.000000 mean 5000.50000 49153.319600 38.757567 -90.782536 9756.562400 2.0877 53.078400 39806.926771 10.001848 12.016000 . 172.624816 3392.341550 std 2886.89568 27532.196108 5.437389 15.156142 14432.698671 2.1472 20.698882 28199.916702 2.976019 3.025898 . 42.943094 2185.294852 min 1.00000 601.000000 17.966120 -171.688150 0.000000 0.0000 18.000000 348.670000 0.099747 1.000000 . 79.978860 155.506715 25% 2500.75000 26292.500000 35.341828 -97.082812 738.000000 0.0000 35.000000 19224.717500 8.018214 10.000000 . 139.979239 1236.470827 50% 5000.50000 48869.500000 39.395800 -87.918800 2910.500000 1.0000 53.000000 33170.605000 10.018560 12.000000 . 167.484700 3279.536903 75% 7500.25000 71866.500000 42.106908 -80.088745 13168.000000 3.0000 71.000000 53246.170000 11.969485 14.000000 . 200.734725 5586.141370 max 10000.00000 99929.000000 70.640660 -65.667850 111850.000000 10.0000 89.000000 258900.700000 21.207230 23,000000 . 290.160419 7158.981530

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[28]: dataframework.describe() [28]: Case Order Lat Lng Population Children count 10000.00000 10000.000000 10000.000000 10000.000000 10000.000000 10000.0000 10000.000000 10000.000000 mean 5000.50000 49153.319600 38.757567 -90.782536 9756.562400 2.0877 53.078400 39806.926771 std 2886.89568 27532.196108 5.437389 15.156142 14432.698671 2.1472 20.698882 28199.916702 min 1.00000 601.000000 17.966120 -171.688150 50% 5000.50000 48869.500000 25% 2500.75000 26292.500000 35.341828 -97.082812 738.000000 Age Income Outage_sec_perweek Email 0.000000 0.0000 18.000000 348.670000 39.395800 -87.918800 2910.500000 75% 7500.25000 71866.500000 42.106908 -80.088745 13168.000000 0.0000 35.000000 19224.717500 1.0000 53.000000 33170.605000 3.0000 71.000000 53246.170000 max 10000.00000 99929.000000 70.640660 -65.667850 111850.000000 10.0000 89.000000 258900.700000 10000.000000 10000.000000 10000.000000 10.001848 12.016000 2.976019 3.025898 0.099747 1.000000 8.018214 10.000000.. 10.018560 12.000000 11.969485 14.000000... MonthlyCharge Bandwidth_GB_ Year 21.207230 23.000000 .. 172.624816 42.943094 79.978860 139.979239 167.484700 200.734725 290.160419 10000.000000 3392.341550 2185.294852 155.506715 1236.470827 3279.536903 5586.141370 7158.981530 [28]: dataframework.describe() [28]: Case Order Lat Lng Population Children count 10000.00000 10000.000000 10000.000000 10000.000000 10000.000000 10000.0000 10000.000000 10000.000000 mean 5000.50000 49153.319600 38.757567 -90.782536 9756.562400 2.0877 53.078400 39806.926771 std 2886.89568 27532.196108 5.437389 15.156142 14432.698671 2.1472 20.698882 28199.916702 min 1.00000 601.000000 17.966120 -171.688150 50% 5000.50000 48869.500000 25% 2500.75000 26292.500000 35.341828 -97.082812 738.000000 Age Income Outage_sec_perweek Email 0.000000 0.0000 18.000000 348.670000 39.395800 -87.918800 2910.500000 75% 7500.25000 71866.500000 42.106908 -80.088745 13168.000000 0.0000 35.000000 19224.717500 1.0000 53.000000 33170.605000 3.0000 71.000000 53246.170000 max 10000.00000 99929.000000 70.640660 -65.667850 111850.000000 10.0000 89.000000 258900.700000 10000.000000 10000.000000 10000.000000 10.001848 12.016000 2.976019 3.025898 0.099747 1.000000 8.018214 10.000000.. 10.018560 12.000000 11.969485 14.000000... MonthlyCharge Bandwidth_GB_ Year 21.207230 23.000000 .. 172.624816 42.943094 79.978860 139.979239 167.484700 200.734725 290.160419 10000.000000 3392.341550 2185.294852 155.506715 1236.470827 3279.536903 5586.141370 7158.981530