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Business Intelligence and Data Analysis: Perform SimpleKMeans clustering with three clusters. How would you describe the three clusters based on the attribute characteristics? Discuss which

Business Intelligence and Data Analysis: Perform SimpleKMeans clustering with three clusters. How would you describe the three clusters based on the attribute characteristics? Discuss which subsets of the population each cluster represents.

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Married 199.25 3610.67 12.2 Other Manufacturing Married OtherOther Other Manufacturing Married Other Manufacturing Married Other Manufacturing Married Other Construction ISingle Other ManufactingMarried_.O Other Manufacturing Married OtherOther OtherOther Other Manufacturing Married OtherOther Other Manufacturing Married Other Manufacturing Married Other Manufacturing Married OtherOther Other Manufacturing Single anufacturina Sinale aaaaa ng a a a a a a a a a ng ar MM Sir M M M Sir M M M M M M M M M Sir M Sir M M M M M M Sir 29 4 4 4 4 4 21 2 3 3 3 5 5 2 4 31 2 3 5 2 2 3 3 3 3 6 5 2 31 5 3 4 5 2 41 19-28 41 26 30 51 3 3 3 2 2 41 33 27 41 5 2 5 2 2 5 2 |3 2 2 1 2 5 3 6 2 9 9 8 41 3 2 5 8 3 4 5 11 2 3 4 1 4 3 8 3 8 8 6 3 2 2 10 3 8 9 3 9 4 3 2 8 3 3 9 21 4 4 4 0 11 4 8 2 MMuF M M M M M M M M F M M M M M F F F M M M M M F F M M M F F M M M M F M M F M F M M M M M F M M M M M M M M M M Single Other Construction Single gle gle ie gle ie gl ie gl gl Other ng ar ar ar-ar ar ng a a a ng ar ar ar ng ar ar Single ur ur tuuuuuu Single 2 2 3 3 3 5 3 6 3 2 2 5 3 2 3 9 21 26 22 31 2 2 5 3 2 3 3 3 5 3 5 21 5 3 2 5 5 3 3 9 31 40 41 22 22 48 51 36 35 46 31 3 2 5 2 21 60 0 11 13 41 Manage Manufacturina ISinal 6 2664 11 21 12 133426 3 11 2 2 2 7 5 2 2 6 5 3 8 6 6 1 3 8 2 6 9 2 4 3 92 8 5 2 2 3 3 41-73551138 21 2 4 3 2 1 1 2 9 8 1 3 4 1 2 3 MMMFMMFMMMMFMFMMMMMMMMMMM M M M M M M F M M M F M M M M M M M M F F M F M F M M M M F F M F M Sir M M M M M M Sir Sir Sir M M M M Sir M M M M Sir M M M M Sir M M Sir Sir M M M M M M M M M M Sir Sir M M M M M M M Sir M M M M M Sir 2 2 1 1 2 2 3 9 8 3 0 2 0 52 1 4 8 4 7 3 2 7 2 4 3 2 41 7 4 1 6 3 31 4 3 2 1 3 1 1 2 2 2 3 5 4 2 5 5 52663204 FMMFMFMMMMMMMF M M F F M F F M M F M M M M M M F F F M F F M M F M M M M F M F F M F F M M F M F F F M 12 N46.25 eddie d e e d Sales Manufacturing IMarri dede i d d d d d e e d d e d e d d d d e d d e d e d e edddddddddddddeee Clerical Other sss-sssssssssssssssiiiiiiiiii.c ccccccccccccccccccccc-cccccccc 2323 4 5 2 41 61 5 2 2 5 3 2 2 2 3 3 2 2 3 3 9 2 3 4 3 3 3 2 61 31 34 41 2 2 3 3 5 3 3 5 2 4 2 2 2 3 2249 21 32 57 42 547 5 5 2 5 5 3 5 8 5 9 5 5 5 5 2 5 5 0 5 8 9 5 1 1 2 8 3 2 1 2 5 5 5 5 5 9 6 5 7 6 5 3 5 7 9 3 43355555 75 95 2503:900 4 470 5 6554 4 2 4 21 3 2 4 0 2 2 4 4 5 3 7 0 7 5 8 2 2 3 2 3 5 2 2 3 3 6 4 4 4 4 2 3 1 1 2 2 2 3 8 428-48012922 FFM F M F F M M F F M M M M M M M F F F F F F F M F F F F F F F F F F F F M F M F F F F M F F M M F F F M F F F F Single Single Single Clerical Other 4 6.25 Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other 6.85 234 Single Single Single 15 10.43 Single 18 W Single Single 306.25 Single Single Single Single Single Single Single 19 W Single Single Single 8 5.25 Clerical Other Clerical Other Clerical Other Clerical Other Single Clerical Other Clerical Other Clerical Other Clerical Other 6 5.87 2 11.02 324 Single Clerical Other Clerical Other Clerical ManufactingMarried_.O 40 10.81 Single Clerical Other Clerical Construction Married Clerical Other Clerical Manufacturing Single Clerical Other 4.59 2 5.62 Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Manufacturing Single Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Single 4.25 45 10.62 Single 343 344 345 Single vice 0th ed ie d e e d e e d d d e d e d d d e e d d d eedede ie d e d d e d d d e d d d d d e d e e gle gle ie gle gle ege 3374374 51 3 3 2 2 2 2 3 3 2 2 2 21 28 61 35 63 56 31 2 35 2 2 2 2 2 2 3 2 3 2 3 4 5 5 5 3 3 3 2 2 61 22 18 44 41 33 30 62 .1 3 6 5 9 3 3 3 5 8 2 3 2 2 5 8 4 9 4 5 5 6 5 4 2 5 5 5 4 5 6 7 5 3 9 9 5 5 3 5 9 51 5 7 5 7 5 5 5 8 337 25 5. 17 2 2 1 2 2 3 3 4 1 3 0 4 2 21 5 2 2 7 4 9 4 9 9 3 3 427 9 6 5 1 2 2 5 8 7 2 2 2 3 41 2 5 6 9 0 1 3 3 0 2 5 5 053 MFFMFFFFMFFMMFMFFFMMMFMFFFFM F F F F F M F F F F M M M F F F F M F M M F M F F F F F F M edeeded d d e d d e d d d e d d died ie d e d e d d d d d e d d d e d d d e e d d d o00200000 00000000000000002200020020000000000000200 200000 3 9 5 7 5 5 5 5 5 5 01 1 1 9 5 2 4 9 3 9 5 5 5 5 0 8 8 5 2 5 2 2 6 6 2 2 61 71-55880885285258 05 11 8 1 9 5 5 1 11 3: 13 3. 42 82 17 89 47 6 3 3 4 4 3 7 4 2 0 2 2 6 0 3 2-9 8 0 4 4 4 3 4 5 31 6 5 3 8 5 3 7 5 0 3 3 0 3 2 6 7 4 5 1 11 2 9 2 9 4 7 7 7 226 MFFMMMMFMMMFMFFFM F M M F F M F M M M F M M M M F M M F F M F M M F M M F F F F M M M F F M M F F F ed egge pe 3 2 2 2 3 53 2 3 3 3 3 51 22 51 21 3 2 5 0 2 2 4 3 2 3 3 2 3 5 2 2 2 61 4 2 5 3 6 41 21 33 32 39 31 3 4 3 3 4 5 3 52429 555258-736 51 4 5 5 5 5 5 5 5 7 8 2 4 2 4 6 8 4 1 9 2 0 9 5 3 2 1 1 5 9 9 5 5 6 8 6 2 9 5 5 2 5 6 85555 MFFFFMF M M M F M M M M M M M M M F M F M F F F M F F F F M F F F F F F M F F F F M F F F M M M M F M F F F M Profess Manufacturing Married Profess Other Profess Other Profess Other Profess Other Profess Other Profess Other Profess Other Profess Other Profess Manufacturing Married 1 Educatic South ex Experien Wage Age ce Occupat Sector RHWWWWWWWWWWWWWWWWWWWWOWOWWWWWWWWWWWWWWWWWWWWWWWWWWWWW Marr Union FFMMMMMMMMMMMMMMMMMMFMMMMMMMFMMFMFMMMMMMMMMFMF M M M M M M F F M F M Other Manufacturing Married Other Manufacturing Married Other Manufacturing Single OtherOther OtherOther OtherOther OtherOther OtherOther 424.95 1 6.67 9 13.07 919.47 1113.28 Other Manufacturing Married OtherOther OtherOther Other Manufacturing Single OtherOther OtherOther OtherOther OtherConstruction Married OtherOther 17 11.35 30 6.25 29 19.98 Married 26 22.2 16 3.65 33 20.55 Other Manufacturing Married OtherOther OtherOther Other Manufacturing Married Other Manufacturing Married OtherOther OtherOther OtherOther 23 9.56 455.75 Married Other Manufacturing Married Other Manufacturing Married OtherOther Married Other Manufacturing Married OtherOther OtherOther OtherOther OtherOther OtherOther Other Manufacturing Single OtherOther OtherConstruction Married OtherConstruction Married OtherOther 8 4.75 Married 199.25 3610.67 12.2 Other Manufacturing Married OtherOther Other Manufacturing Married Other Manufacturing Married Other Manufacturing Married Other Construction ISingle Other ManufactingMarried_.O Other Manufacturing Married OtherOther OtherOther Other Manufacturing Married OtherOther Other Manufacturing Married Other Manufacturing Married Other Manufacturing Married OtherOther Other Manufacturing Single anufacturina Sinale aaaaa ng a a a a a a a a a ng ar MM Sir M M M Sir M M M M M M M M M Sir M Sir M M M M M M Sir 29 4 4 4 4 4 21 2 3 3 3 5 5 2 4 31 2 3 5 2 2 3 3 3 3 6 5 2 31 5 3 4 5 2 41 19-28 41 26 30 51 3 3 3 2 2 41 33 27 41 5 2 5 2 2 5 2 |3 2 2 1 2 5 3 6 2 9 9 8 41 3 2 5 8 3 4 5 11 2 3 4 1 4 3 8 3 8 8 6 3 2 2 10 3 8 9 3 9 4 3 2 8 3 3 9 21 4 4 4 0 11 4 8 2 MMuF M M M M M M M M F M M M M M F F F M M M M M F F M M M F F M M M M F M M F M F M M M M M F M M M M M M M M M M Single Other Construction Single gle gle ie gle ie gl ie gl gl Other ng ar ar ar-ar ar ng a a a ng ar ar ar ng ar ar Single ur ur tuuuuuu Single 2 2 3 3 3 5 3 6 3 2 2 5 3 2 3 9 21 26 22 31 2 2 5 3 2 3 3 3 5 3 5 21 5 3 2 5 5 3 3 9 31 40 41 22 22 48 51 36 35 46 31 3 2 5 2 21 60 0 11 13 41 Manage Manufacturina ISinal 6 2664 11 21 12 133426 3 11 2 2 2 7 5 2 2 6 5 3 8 6 6 1 3 8 2 6 9 2 4 3 92 8 5 2 2 3 3 41-73551138 21 2 4 3 2 1 1 2 9 8 1 3 4 1 2 3 MMMFMMFMMMMFMFMMMMMMMMMMM M M M M M M F M M M F M M M M M M M M F F M F M F M M M M F F M F M Sir M M M M M M Sir Sir Sir M M M M Sir M M M M Sir M M M M Sir M M Sir Sir M M M M M M M M M M Sir Sir M M M M M M M Sir M M M M M Sir 2 2 1 1 2 2 3 9 8 3 0 2 0 52 1 4 8 4 7 3 2 7 2 4 3 2 41 7 4 1 6 3 31 4 3 2 1 3 1 1 2 2 2 3 5 4 2 5 5 52663204 FMMFMFMMMMMMMF M M F F M F F M M F M M M M M M F F F M F F M M F M M M M F M F F M F F M M F M F F F M 12 N46.25 eddie d e e d Sales Manufacturing IMarri dede i d d d d d e e d d e d e d d d d e d d e d e d e edddddddddddddeee Clerical Other sss-sssssssssssssssiiiiiiiiii.c ccccccccccccccccccccc-cccccccc 2323 4 5 2 41 61 5 2 2 5 3 2 2 2 3 3 2 2 3 3 9 2 3 4 3 3 3 2 61 31 34 41 2 2 3 3 5 3 3 5 2 4 2 2 2 3 2249 21 32 57 42 547 5 5 2 5 5 3 5 8 5 9 5 5 5 5 2 5 5 0 5 8 9 5 1 1 2 8 3 2 1 2 5 5 5 5 5 9 6 5 7 6 5 3 5 7 9 3 43355555 75 95 2503:900 4 470 5 6554 4 2 4 21 3 2 4 0 2 2 4 4 5 3 7 0 7 5 8 2 2 3 2 3 5 2 2 3 3 6 4 4 4 4 2 3 1 1 2 2 2 3 8 428-48012922 FFM F M F F M M F F M M M M M M M F F F F F F F M F F F F F F F F F F F F M F M F F F F M F F M M F F F M F F F F Single Single Single Clerical Other 4 6.25 Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other 6.85 234 Single Single Single 15 10.43 Single 18 W Single Single 306.25 Single Single Single Single Single Single Single 19 W Single Single Single 8 5.25 Clerical Other Clerical Other Clerical Other Clerical Other Single Clerical Other Clerical Other Clerical Other Clerical Other 6 5.87 2 11.02 324 Single Clerical Other Clerical Other Clerical ManufactingMarried_.O 40 10.81 Single Clerical Other Clerical Construction Married Clerical Other Clerical Manufacturing Single Clerical Other 4.59 2 5.62 Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Clerical Manufacturing Single Clerical Other Clerical Other Clerical Other Clerical Other Clerical Other Single 4.25 45 10.62 Single 343 344 345 Single vice 0th ed ie d e e d e e d d d e d e d d d e e d d d eedede ie d e d d e d d d e d d d d d e d e e gle gle ie gle gle ege 3374374 51 3 3 2 2 2 2 3 3 2 2 2 21 28 61 35 63 56 31 2 35 2 2 2 2 2 2 3 2 3 2 3 4 5 5 5 3 3 3 2 2 61 22 18 44 41 33 30 62 .1 3 6 5 9 3 3 3 5 8 2 3 2 2 5 8 4 9 4 5 5 6 5 4 2 5 5 5 4 5 6 7 5 3 9 9 5 5 3 5 9 51 5 7 5 7 5 5 5 8 337 25 5. 17 2 2 1 2 2 3 3 4 1 3 0 4 2 21 5 2 2 7 4 9 4 9 9 3 3 427 9 6 5 1 2 2 5 8 7 2 2 2 3 41 2 5 6 9 0 1 3 3 0 2 5 5 053 MFFMFFFFMFFMMFMFFFMMMFMFFFFM F F F F F M F F F F M M M F F F F M F M M F M F F F F F F M edeeded d d e d d e d d d e d d died ie d e d e d d d d d e d d d e d d d e e d d d o00200000 00000000000000002200020020000000000000200 200000 3 9 5 7 5 5 5 5 5 5 01 1 1 9 5 2 4 9 3 9 5 5 5 5 0 8 8 5 2 5 2 2 6 6 2 2 61 71-55880885285258 05 11 8 1 9 5 5 1 11 3: 13 3. 42 82 17 89 47 6 3 3 4 4 3 7 4 2 0 2 2 6 0 3 2-9 8 0 4 4 4 3 4 5 31 6 5 3 8 5 3 7 5 0 3 3 0 3 2 6 7 4 5 1 11 2 9 2 9 4 7 7 7 226 MFFMMMMFMMMFMFFFM F M M F F M F M M M F M M M M F M M F F M F M M F M M F F F F M M M F F M M F F F ed egge pe 3 2 2 2 3 53 2 3 3 3 3 51 22 51 21 3 2 5 0 2 2 4 3 2 3 3 2 3 5 2 2 2 61 4 2 5 3 6 41 21 33 32 39 31 3 4 3 3 4 5 3 52429 555258-736 51 4 5 5 5 5 5 5 5 7 8 2 4 2 4 6 8 4 1 9 2 0 9 5 3 2 1 1 5 9 9 5 5 6 8 6 2 9 5 5 2 5 6 85555 MFFFFMF M M M F M M M M M M M M M F M F M F F F M F F F F M F F F F F F M F F F F M F F F M M M M F M F F F M Profess Manufacturing Married Profess Other Profess Other Profess Other Profess Other Profess Other Profess Other Profess Other Profess Other Profess Manufacturing Married

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