La rosa demographic analysis

La Rosa Demographic Analysis
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Unformatted text preview: Respondent# Age Category Income 1000 22-25 5000 4 5 #NAME? #NAME? 1001 30-35 100000 5 15 #NAME? #NAME? 1002 26-30 75000 3 24 #NAME? #NAME? 1003 18-21 40000 1 16 #NAME? #NAME? 1004 30-35 100000 12 4 #NAME? #NAME? 1005 26-30 50000 9 19 #NAME? #NAME? 1006 30-35 20000 1 8 #NAME? #NAME? 1007 30-35 100000 18 12 #NAME? #NAME? 1008 30-35 20000 14 7 #NAME? #NAME? 1009 30-35 100000 5 20 #NAME? #NAME? 1010 30-35 75000 1 #NAME? #NAME? 1011 18-21 30000 6 #NAME? #NAME? 1012 22-25 30000 4 12 #NAME? #NAME? 1013 18-21 30000 3 #NAME? #NAME? 1014 18-21 5000 1 5 #NAME? #NAME? 1015 over 35 50000 1 8 #NAME? #NAME? 1016 30-35 40000 1 2 #NAME? #NAME? 1017 26-30 20000 11 3 #NAME? #NAME? 1018 30-35 100000 11 13 #NAME? #NAME? 1019 18-21 30000 3 #NAME? #NAME? 1020 30-35 30000 3 13 #NAME? #NAME? 1021 26-30 75000 1 21 #NAME? #NAME? 1022 18-21 5000 1 10 #NAME? #NAME? 1023 22-25 20000 1 2 #NAME? #NAME? 1024 18-21 10000 #NAME? #NAME? 1025 22-25 5000 13 20 #NAME? #NAME? 1026 26-30 75000 5 11 #NAME? #NAME? 1027 over 35 20000 4 2 #NAME? #NAME? 1028 22-25 5000 14 6 #NAME? #NAME? 1029 over 35 100000 12 13 #NAME? #NAME? 1030 18-21 10000 3 #NAME? #NAME? 1031 18-21 10000 1 7 #NAME? #NAME? 1032 26-30 100000 12 7 #NAME? #NAME? 1033 22-25 10000 3 5 #NAME? #NAME? 1034 22-25 50000 13 9 #NAME? #NAME? 1035 22-25 20000 6 3 #NAME? #NAME? 1036 26-30 20000 6 11 #NAME? #NAME? 1037 18-21 10000 2 #NAME? #NAME? 1038 30-35 75000 1 4 #NAME? #NAME? 1039 22-25 30000 20 10 #NAME? #NAME? 1040 30-35 100000 2 7 #NAME? #NAME? 1041 18-21 5000 4 #NAME? #NAME? 1042 22-25 10000 8 1 #NAME? #NAME? 1043 22-25 20000 21 2 #NAME? #NAME? 1044 30-35 20000 9 3 #NAME? #NAME? 1045 18-21 20000 19 #NAME? #NAME? 1046 18-21 5000 1 3 #NAME? #NAME? 1047 26-30 5000 10 3 #NAME? #NAME? 1048 22-25 5000 15 5 #NAME? #NAME? 1049 22-25 50000 15 14 #NAME? #NAME? 1050 22-25 40000 21 23 #NAME? #NAME? 1051 22-25 50000 13 10 #NAME? #NAME? 1052 22-25 5000 4 4 #NAME? #NAME? 1053 18-21 40000 1 10 #NAME? #NAME?...
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