diff --git a/lab_3/datasetlab1/marketing_campaign.csv b/lab_3/datasetlab1/marketing_campaign.csv new file mode 100644 index 0000000..ecf0643 --- /dev/null +++ b/lab_3/datasetlab1/marketing_campaign.csv @@ -0,0 +1,2241 @@ +ID Year_Birth Education Marital_Status Income Kidhome Teenhome Dt_Customer Recency MntWines MntFruits MntMeatProducts MntFishProducts MntSweetProducts MntGoldProds NumDealsPurchases NumWebPurchases NumCatalogPurchases NumStorePurchases NumWebVisitsMonth AcceptedCmp3 AcceptedCmp4 AcceptedCmp5 AcceptedCmp1 AcceptedCmp2 Complain Z_CostContact Z_Revenue Response +5524 1957 Graduation Single 58138 0 0 04-09-2012 58 635 88 546 172 88 88 3 8 10 4 7 0 0 0 0 0 0 3 11 1 +2174 1954 Graduation Single 46344 1 1 08-03-2014 38 11 1 6 2 1 6 2 1 1 2 5 0 0 0 0 0 0 3 11 0 +4141 1965 Graduation Together 71613 0 0 21-08-2013 26 426 49 127 111 21 42 1 8 2 10 4 0 0 0 0 0 0 3 11 0 +6182 1984 Graduation Together 26646 1 0 10-02-2014 26 11 4 20 10 3 5 2 2 0 4 6 0 0 0 0 0 0 3 11 0 +5324 1981 PhD Married 58293 1 0 19-01-2014 94 173 43 118 46 27 15 5 5 3 6 5 0 0 0 0 0 0 3 11 0 +7446 1967 Master Together 62513 0 1 09-09-2013 16 520 42 98 0 42 14 2 6 4 10 6 0 0 0 0 0 0 3 11 0 +965 1971 Graduation Divorced 55635 0 1 13-11-2012 34 235 65 164 50 49 27 4 7 3 7 6 0 0 0 0 0 0 3 11 0 +6177 1985 PhD Married 33454 1 0 08-05-2013 32 76 10 56 3 1 23 2 4 0 4 8 0 0 0 0 0 0 3 11 0 +4855 1974 PhD Together 30351 1 0 06-06-2013 19 14 0 24 3 3 2 1 3 0 2 9 0 0 0 0 0 0 3 11 1 +5899 1950 PhD Together 5648 1 1 13-03-2014 68 28 0 6 1 1 13 1 1 0 0 20 1 0 0 0 0 0 3 11 0 +1994 1983 Graduation Married 1 0 15-11-2013 11 5 5 6 0 2 1 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +387 1976 Basic Married 7500 0 0 13-11-2012 59 6 16 11 11 1 16 1 2 0 3 8 0 0 0 0 0 0 3 11 0 +2125 1959 Graduation Divorced 63033 0 0 15-11-2013 82 194 61 480 225 112 30 1 3 4 8 2 0 0 0 0 0 0 3 11 0 +8180 1952 Master Divorced 59354 1 1 15-11-2013 53 233 2 53 3 5 14 3 6 1 5 6 0 0 0 0 0 0 3 11 0 +2569 1987 Graduation Married 17323 0 0 10-10-2012 38 3 14 17 6 1 5 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +2114 1946 PhD Single 82800 0 0 24-11-2012 23 1006 22 115 59 68 45 1 7 6 12 3 0 0 1 1 0 0 3 11 1 +9736 1980 Graduation Married 41850 1 1 24-12-2012 51 53 5 19 2 13 4 3 3 0 3 8 0 0 0 0 0 0 3 11 0 +4939 1946 Graduation Together 37760 0 0 31-08-2012 20 84 5 38 150 12 28 2 4 1 6 7 0 0 0 0 0 0 3 11 0 +6565 1949 Master Married 76995 0 1 28-03-2013 91 1012 80 498 0 16 176 2 11 4 9 5 0 0 0 1 0 0 3 11 0 +2278 1985 2n Cycle Single 33812 1 0 03-11-2012 86 4 17 19 30 24 39 2 2 1 3 6 0 0 0 0 0 0 3 11 0 +9360 1982 Graduation Married 37040 0 0 08-08-2012 41 86 2 73 69 38 48 1 4 2 5 8 0 0 0 0 0 0 3 11 0 +5376 1979 Graduation Married 2447 1 0 06-01-2013 42 1 1 1725 1 1 1 15 0 28 0 1 0 0 0 0 0 0 3 11 0 +1993 1949 PhD Married 58607 0 1 23-12-2012 63 867 0 86 0 0 19 3 2 3 9 8 0 1 0 0 0 0 3 11 0 +4047 1954 PhD Married 65324 0 1 11-01-2014 0 384 0 102 21 32 5 3 6 2 9 4 0 0 0 0 0 0 3 11 0 +1409 1951 Graduation Together 40689 0 1 18-03-2013 69 270 3 27 39 6 99 7 7 1 5 8 0 0 0 0 0 0 3 11 0 +7892 1969 Graduation Single 18589 0 0 02-01-2013 89 6 4 25 15 12 13 2 2 1 3 7 0 0 0 0 0 0 3 11 0 +2404 1976 Graduation Married 53359 1 1 27-05-2013 4 173 4 30 3 6 41 4 5 1 4 7 0 0 0 0 0 0 3 11 0 +5255 1986 Graduation Single 1 0 20-02-2013 19 5 1 3 3 263 362 0 27 0 0 1 0 0 0 0 0 0 3 11 0 +9422 1989 Graduation Married 38360 1 0 31-05-2013 26 36 2 42 20 21 10 2 2 1 4 3 0 0 0 0 0 0 3 11 0 +1966 1965 PhD Married 84618 0 0 22-11-2013 96 684 100 801 21 66 0 1 6 9 10 2 0 0 1 0 0 0 3 11 0 +6864 1989 Master Divorced 10979 0 0 22-05-2014 34 8 4 10 2 2 4 2 3 0 3 5 0 0 0 0 0 0 3 11 0 +3033 1963 Master Together 38620 0 0 11-05-2013 56 112 17 44 34 22 89 1 2 5 3 3 0 0 0 0 0 0 3 11 0 +5710 1970 Graduation Together 40548 0 1 10-10-2012 31 110 0 5 2 0 3 2 2 1 4 5 0 1 0 0 0 0 3 11 0 +7373 1952 PhD Divorced 46610 0 2 29-10-2012 8 96 12 96 33 22 43 6 4 1 6 6 0 0 0 0 0 0 3 11 1 +8755 1946 Master Married 68657 0 0 20-02-2013 4 482 34 471 119 68 22 1 3 5 9 7 0 0 0 0 0 0 3 11 0 +10738 1951 Master Single 49389 1 1 29-08-2013 55 40 0 19 2 1 3 1 2 0 3 7 0 0 0 0 0 0 3 11 0 +4339 1970 PhD Married 67353 0 1 31-12-2013 37 702 17 151 0 8 35 5 5 6 12 2 0 0 0 0 0 0 3 11 0 +10755 1976 2n Cycle Married 23718 1 0 02-09-2013 76 6 3 14 15 7 36 3 3 1 2 7 0 0 0 0 0 0 3 11 0 +8595 1973 Graduation Widow 42429 0 1 11-02-2014 99 55 0 6 2 0 4 2 1 1 3 5 0 0 0 0 0 0 3 11 0 +2968 1943 PhD Divorced 48948 0 0 01-02-2013 53 437 8 206 160 49 42 2 7 10 5 6 1 0 0 0 0 0 3 11 1 +8601 1980 Graduation Married 80011 0 1 29-04-2013 3 421 76 536 82 178 102 2 8 6 5 4 0 0 0 0 0 0 3 11 0 +503 1985 Master Married 20559 1 0 12-03-2013 88 13 1 29 3 0 7 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +8430 1957 Graduation Together 21994 0 1 24-12-2012 4 9 0 6 3 1 3 1 0 0 3 5 0 0 0 0 0 0 3 11 0 +7281 1959 PhD Single 0 0 05-11-2013 80 81 11 50 3 2 39 1 1 3 4 2 0 0 0 0 0 0 3 11 0 +2139 1975 Master Married 7500 1 0 02-10-2013 19 3 1 10 3 2 12 3 2 0 3 5 0 0 0 0 0 0 3 11 0 +1371 1976 Graduation Single 79941 0 0 28-06-2014 72 123 164 266 227 30 174 1 2 4 9 1 0 0 0 0 0 0 3 11 0 +9909 1996 2n Cycle Married 7500 0 0 09-11-2012 24 3 18 14 15 22 50 3 3 1 3 9 0 0 0 0 0 0 3 11 1 +7286 1968 Graduation Together 41728 1 0 24-05-2013 92 13 6 15 3 5 13 1 2 0 2 10 0 0 0 0 0 0 3 11 0 +7244 1951 Graduation Single 2 1 01-01-2014 96 48 5 48 6 10 7 3 2 1 4 6 0 0 0 0 0 0 3 11 0 +6566 1954 PhD Married 72550 1 1 08-11-2012 39 826 50 317 50 38 38 9 5 2 12 8 0 0 0 0 0 0 3 11 0 +8614 1957 Graduation Widow 65486 0 1 12-05-2014 29 245 19 125 37 67 14 1 4 2 10 2 0 0 0 0 0 0 3 11 0 +4114 1964 Master Married 79143 0 0 11-08-2012 2 650 37 780 27 167 32 1 6 9 13 3 0 0 0 0 0 0 3 11 0 +1331 1977 Graduation Single 35790 1 0 02-01-2013 54 12 6 20 30 1 3 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +2225 1977 Graduation Divorced 82582 0 0 07-06-2014 54 510 120 550 156 40 241 1 4 9 7 1 1 0 0 1 0 0 3 11 1 +9381 1978 Graduation Married 66373 1 1 12-06-2013 57 328 9 124 12 24 109 7 4 2 10 3 0 0 0 0 0 0 3 11 0 +6260 1955 Master Together 82384 0 0 19-11-2012 55 984 51 432 180 120 190 1 3 10 13 1 0 0 1 0 0 0 3 11 1 +10383 1966 Graduation Divorced 70287 0 0 02-04-2013 30 295 35 482 121 120 40 1 5 5 10 3 0 0 0 0 0 0 3 11 1 +7437 1988 Graduation Single 27938 1 0 28-04-2014 31 13 0 8 2 1 5 1 1 0 4 3 0 0 0 0 0 0 3 11 0 +8557 1982 Graduation Single 1 0 17-06-2013 57 11 3 22 2 2 6 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +8375 1968 PhD Married 55954 0 1 03-03-2014 63 447 0 28 0 0 43 3 8 2 6 7 0 0 0 0 0 0 3 11 0 +6853 1982 Master Single 75777 0 0 04-07-2013 12 712 26 538 69 13 80 1 3 6 11 1 0 1 1 0 0 0 3 11 1 +3076 1975 Graduation Together 66653 1 1 07-09-2012 18 452 18 102 16 18 6 4 4 2 12 3 0 0 0 0 0 0 3 11 0 +1012 1952 Graduation Single 61823 0 1 18-02-2013 26 523 7 134 37 14 169 4 8 2 10 7 0 0 0 0 0 0 3 11 0 +6518 1951 PhD Widow 67680 0 1 11-06-2013 8 546 0 48 0 6 6 1 7 3 8 5 0 0 0 0 0 0 3 11 0 +4137 1948 Graduation Together 70666 0 0 06-12-2013 29 398 40 367 119 122 30 1 7 4 4 4 0 0 0 0 0 0 3 11 0 +8082 1971 Graduation Married 25721 1 0 21-05-2013 75 1 3 6 3 6 15 1 1 1 2 7 0 0 0 0 0 0 3 11 1 +1386 1967 Graduation Together 32474 1 1 11-05-2014 0 10 0 1 0 0 0 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +9369 1979 2n Cycle Single 88194 0 1 19-03-2014 19 688 14 309 201 24 38 1 11 10 10 5 1 0 0 1 0 0 3 11 1 +4477 1958 Graduation Together 69096 0 1 27-09-2013 4 247 49 159 7 82 109 1 5 2 10 4 0 0 0 0 0 0 3 11 0 +1357 1970 Graduation Together 74854 1 2 08-04-2013 90 856 59 487 58 29 73 7 2 5 5 5 0 0 0 0 0 0 3 11 0 +1402 1954 Master Married 66991 0 0 11-09-2012 1 496 36 460 189 60 12 3 4 8 6 3 0 0 0 0 0 0 3 11 0 +10629 1973 2n Cycle Married 1 0 14-09-2012 25 25 3 43 17 4 17 3 3 0 3 8 0 0 0 0 0 0 3 11 0 +6312 1959 Graduation Married 65031 0 1 17-03-2013 29 258 107 291 84 37 86 4 10 3 13 7 0 0 0 0 0 0 3 11 0 +8132 1975 PhD Married 60631 1 1 05-04-2013 88 565 6 65 0 6 19 5 9 2 8 7 0 1 0 0 0 0 3 11 0 +1050 1952 Graduation Married 28332 0 0 30-04-2014 58 14 10 13 4 15 9 1 2 1 4 2 0 0 0 0 0 0 3 11 0 +5846 1977 Graduation Divorced 40246 1 0 19-12-2012 68 2 1 6 2 1 1 1 1 0 2 6 0 0 0 0 0 0 3 11 0 +1859 1972 Master Married 75251 0 0 27-08-2012 34 721 111 925 97 18 18 1 7 6 5 5 0 0 0 0 0 0 3 11 1 +7503 1976 Graduation Single 75825 0 0 12-10-2012 40 1032 105 779 137 105 51 0 5 8 9 4 1 0 0 0 0 0 3 11 1 +10401 1976 2n Cycle Together 26326 0 0 04-09-2013 12 1 0 5 0 3 9 1 0 0 3 3 0 0 0 0 0 1 3 11 0 +1618 1965 Graduation Together 56046 0 0 02-01-2013 9 577 0 64 0 0 51 2 10 1 8 8 1 0 0 0 0 0 3 11 1 +3332 1985 Graduation Single 29760 1 0 29-08-2012 87 64 4 68 7 5 17 4 3 1 4 8 0 0 0 0 0 0 3 11 0 +2261 1969 Graduation Married 26304 1 0 23-06-2013 5 4 1 5 2 0 4 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +5346 1973 2n Cycle Married 23559 1 0 03-07-2013 87 25 5 19 7 0 23 3 3 0 3 7 0 0 0 0 0 0 3 11 0 +4119 1963 Master Together 38620 0 0 11-05-2013 56 112 17 44 34 22 89 1 2 5 3 3 0 0 0 0 0 0 3 11 0 +535 1987 Graduation Divorced 81361 0 0 25-02-2014 18 163 23 424 27 65 76 1 3 10 13 1 0 0 0 0 0 0 3 11 0 +5268 1960 Graduation Married 29440 1 1 11-08-2013 95 17 8 14 10 4 3 2 1 0 4 7 0 0 0 0 0 0 3 11 0 +273 1970 Master Married 36138 1 1 16-07-2013 48 130 0 16 0 0 5 5 3 1 4 7 0 1 0 0 0 0 3 11 0 +4452 1957 Graduation Single 50388 0 1 28-05-2014 3 292 6 37 0 3 34 4 6 1 6 7 0 1 0 1 0 0 3 11 1 +8504 1973 Graduation Married 79593 0 0 12-05-2014 70 350 60 568 110 133 145 1 5 6 7 2 0 0 1 0 0 0 3 11 0 +771 1967 Graduation Together 54178 0 1 21-01-2014 79 135 9 39 4 0 7 1 2 2 5 2 0 0 0 0 0 0 3 11 0 +8996 1957 PhD Married 2 1 19-11-2012 4 230 42 192 49 37 53 12 7 2 8 9 0 0 0 0 0 0 3 11 0 +9235 1957 Graduation Single 1 1 27-05-2014 45 7 0 8 2 0 1 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +5798 1973 Master Together 0 0 23-11-2013 87 445 37 359 98 28 18 1 2 4 8 1 0 0 0 0 0 0 3 11 0 +11178 1972 Master Single 42394 1 0 23-03-2014 69 15 2 10 0 1 4 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +2230 1970 PhD Married 23626 1 0 24-05-2014 84 27 2 14 0 0 0 3 3 1 3 5 0 0 0 0 0 0 3 11 0 +7516 1983 Graduation Married 30096 1 0 22-05-2014 30 5 3 11 12 5 9 1 2 0 3 6 0 0 0 0 0 0 3 11 0 +7247 1960 Graduation Widow 47916 0 1 22-11-2012 72 505 0 26 0 0 75 5 7 4 6 6 0 1 0 0 0 0 3 11 0 +11100 1972 Graduation Divorced 51813 1 1 11-04-2013 37 51 2 7 0 1 2 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +4646 1951 2n Cycle Married 78497 0 0 01-12-2013 44 207 26 447 75 0 223 1 5 7 12 2 0 0 0 1 0 0 3 11 0 +3037 1983 PhD Married 50150 0 0 20-06-2013 32 135 46 92 65 61 11 2 5 2 7 5 0 0 0 0 0 0 3 11 0 +1473 1960 2n Cycle Single 47823 0 1 23-07-2013 0 53 1 5 2 1 10 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +1016 1959 PhD Single 34554 0 1 30-03-2014 43 41 1 6 2 0 5 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +4518 1979 Graduation Together 85693 0 1 20-04-2013 59 386 172 183 185 132 111 2 9 5 11 5 0 0 0 0 0 0 3 11 0 +9370 1945 PhD Married 65846 0 0 17-05-2013 68 562 81 276 80 40 81 1 6 3 6 4 0 0 0 0 0 0 3 11 0 +8908 1959 Graduation Married 87195 0 0 08-05-2014 35 217 76 690 50 26 38 1 3 11 5 1 0 0 0 0 0 0 3 11 1 +8373 1979 Basic Together 24594 1 0 10-12-2013 94 1 3 6 10 0 9 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +7533 1964 Graduation Married 49096 1 1 24-09-2013 15 144 1 32 2 1 7 4 4 1 4 7 0 0 0 0 0 0 3 11 0 +2683 1969 Graduation Married 52413 0 2 02-02-2013 56 295 106 271 75 98 65 4 6 4 12 6 0 0 0 0 0 0 3 11 0 +3629 1978 Graduation Single 38557 1 0 19-12-2012 17 76 3 31 4 4 27 2 3 1 3 7 0 0 0 0 0 0 3 11 0 +10991 1960 Master Married 89058 0 0 07-12-2012 18 454 194 106 31 22 43 1 5 4 4 2 0 0 0 0 0 0 3 11 0 +5077 1979 Graduation Together 77298 0 1 02-11-2013 46 425 115 292 23 35 79 1 6 6 11 3 0 0 0 0 0 0 3 11 0 +7431 1991 PhD Single 68126 0 0 10-11-2012 40 1332 17 311 23 51 86 1 7 4 5 9 0 1 0 0 0 0 3 11 1 +3267 1963 Master Together 57288 0 1 25-06-2014 27 527 0 21 0 0 60 3 8 1 8 6 0 1 0 0 0 0 3 11 0 +999 1991 Graduation Single 86037 0 0 02-01-2013 95 490 44 125 29 20 22 1 6 7 11 3 0 1 1 0 0 0 3 11 1 +9215 1980 PhD Married 43974 1 0 12-12-2012 19 378 0 101 0 0 72 5 6 4 6 7 0 0 0 0 0 0 3 11 0 +2286 1962 Graduation Single 50785 1 1 10-09-2013 27 64 1 21 0 1 27 2 2 1 3 6 0 0 0 0 0 0 3 11 0 +1592 1970 Graduation Married 90765 0 0 24-01-2014 25 547 99 812 151 82 33 0 4 6 5 1 0 0 1 1 0 0 3 11 0 +367 1978 2n Cycle Married 36550 1 0 19-02-2013 74 47 90 94 123 103 120 5 9 1 5 9 0 0 0 0 0 0 3 11 0 +5234 1967 2n Cycle Together 30753 1 1 11-07-2013 85 12 5 25 0 9 30 2 1 1 3 5 0 0 0 0 0 0 3 11 0 +9862 1969 Graduation Together 21918 1 0 14-11-2013 37 1 6 7 11 5 3 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +9805 1953 Master Together 56129 0 1 20-06-2013 65 320 48 133 39 72 48 4 6 2 10 4 0 0 0 0 0 0 3 11 0 +6205 1967 Master Single 32557 1 0 24-02-2014 13 34 3 29 0 4 10 3 2 1 3 5 0 0 0 0 0 0 3 11 1 +8442 1985 Master Married 19510 2 0 04-09-2013 63 9 0 7 3 4 7 2 1 0 3 7 0 0 0 0 0 0 3 11 0 +7386 1976 Graduation Divorced 30992 1 0 22-04-2013 83 17 0 14 7 3 2 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +7215 1983 Graduation Single 101970 0 0 12-03-2013 69 722 27 102 44 72 168 0 6 8 13 2 0 1 1 1 0 0 3 11 1 +1491 1965 2n Cycle Together 71488 0 0 18-02-2013 87 162 33 124 40 28 172 2 3 4 7 1 0 0 0 0 0 0 3 11 0 +11071 1984 Graduation Single 79607 0 0 21-04-2013 37 450 133 951 173 0 216 1 3 6 6 1 0 0 0 0 0 0 3 11 1 +3381 1953 Master Married 54348 1 1 08-06-2014 51 70 0 16 0 0 4 2 2 0 4 6 0 0 0 0 0 0 3 11 0 +8268 1961 PhD Married 0 1 11-07-2013 23 352 0 27 10 0 15 3 6 1 7 6 0 0 0 0 0 0 3 11 0 +11051 1956 PhD Together 77376 1 1 10-05-2014 72 492 19 110 16 12 12 4 6 3 10 4 0 0 0 0 0 0 3 11 0 +8026 1952 Graduation Married 62998 0 1 30-09-2013 10 120 58 73 65 89 58 5 5 4 5 5 0 0 0 0 0 0 3 11 0 +433 1958 Master Alone 61331 1 1 10-03-2013 42 534 5 47 0 5 41 5 11 1 6 8 0 0 0 0 0 0 3 11 0 +9597 1969 Graduation Married 73448 0 0 10-02-2014 10 236 106 189 23 41 130 1 7 2 9 4 0 0 0 0 0 0 3 11 0 +1295 1963 Graduation Married 0 1 11-08-2013 96 231 65 196 38 71 124 1 6 5 7 4 0 0 0 0 0 0 3 11 0 +5290 1964 PhD Married 41551 1 1 14-08-2013 51 220 0 33 3 0 23 5 5 1 5 8 0 0 0 0 0 0 3 11 0 +1685 1967 PhD Together 62981 0 0 17-03-2013 21 796 14 590 38 44 0 1 4 5 13 3 0 1 0 0 0 0 3 11 0 +5342 1976 Basic Divorced 9548 1 0 08-08-2012 31 0 1 3 10 6 9 2 1 0 3 8 0 0 0 0 0 0 3 11 0 +9579 1959 PhD Married 33762 2 1 07-07-2013 61 53 1 34 2 0 16 3 2 2 2 8 0 0 0 0 0 0 3 11 0 +7660 1973 PhD Alone 35860 1 1 19-05-2014 37 15 0 8 4 2 20 2 1 1 2 5 1 0 0 0 0 0 3 11 1 +1461 1965 PhD Divorced 36921 1 1 28-07-2013 74 17 1 12 3 1 4 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +821 1992 Master Single 92859 0 0 19-10-2012 46 962 61 921 52 61 20 1 5 4 12 2 0 0 0 0 0 0 3 11 0 +11084 1976 Master Together 65104 0 1 14-11-2013 4 738 0 232 13 20 50 2 3 5 7 7 0 0 0 0 0 0 3 11 1 +8690 1962 Graduation Married 86111 0 0 19-04-2013 73 399 28 756 36 40 126 1 5 7 10 2 0 0 0 0 0 0 3 11 0 +2937 1974 PhD Single 68352 0 1 28-08-2013 47 614 16 132 43 33 33 3 8 5 9 6 0 0 0 0 0 0 3 11 0 +9701 1988 Graduation Together 41883 1 0 19-03-2013 13 32 34 41 73 16 116 3 4 2 3 7 0 0 0 0 0 0 3 11 0 +9949 1976 Graduation Married 59809 0 2 18-10-2012 36 598 16 141 32 41 49 3 3 3 6 8 0 0 0 0 0 0 3 11 0 +10837 1975 Graduation Married 23957 1 0 28-10-2012 47 2 1 18 20 11 16 1 2 0 3 6 0 0 0 0 0 0 3 11 1 +3120 1981 Graduation Together 38547 1 0 28-08-2013 49 6 1 10 0 1 4 1 1 0 2 8 0 0 0 0 0 1 3 11 0 +5885 1973 2n Cycle Married 35688 2 1 22-08-2012 94 73 3 90 12 1 32 7 4 1 4 8 0 0 0 0 0 0 3 11 0 +4050 1966 Master Married 49605 0 0 21-06-2014 65 42 16 29 12 20 8 1 2 1 4 3 0 0 0 0 0 0 3 11 0 +3830 1953 Master Married 59354 0 2 24-04-2014 59 295 21 78 39 13 13 1 4 4 7 3 0 0 0 0 0 0 3 11 0 +7987 1969 Graduation Married 65747 0 1 07-03-2014 96 346 17 48 23 13 13 4 8 1 6 6 0 1 0 0 0 0 3 11 0 +7798 1972 2n Cycle Together 46344 0 1 14-12-2012 28 233 20 57 8 20 91 4 7 1 5 7 0 0 0 0 0 0 3 11 0 +92 1988 Graduation Alone 34176 1 0 12-05-2014 12 5 7 24 19 14 20 4 3 0 4 6 0 0 0 0 0 0 3 11 0 +7055 1952 PhD Together 61010 0 1 09-10-2012 57 888 0 57 0 0 76 2 8 5 11 5 0 0 0 0 0 0 3 11 0 +10240 1949 Graduation Together 69372 0 0 19-02-2013 10 997 26 269 34 13 42 1 10 4 6 4 0 1 1 0 0 0 3 11 1 +3025 1958 Graduation Single 49967 0 1 08-07-2013 4 212 6 69 4 12 3 3 6 1 5 7 0 0 0 0 0 0 3 11 0 +9283 1978 Graduation Single 60199 1 2 12-09-2013 49 8 1 7 2 0 0 1 0 0 3 4 0 0 0 0 0 0 3 11 0 +9970 1977 Graduation Together 55375 0 1 17-10-2013 3 42 11 57 10 28 14 1 1 1 6 2 0 0 0 0 0 0 3 11 0 +2730 1955 Graduation Single 80317 0 0 20-08-2013 64 536 11 387 149 91 57 1 3 4 10 1 0 0 0 0 0 0 3 11 0 +2795 1958 Master Single 30523 2 1 01-07-2013 0 5 0 3 0 0 5 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +9260 1945 PhD Married 70356 0 0 05-11-2012 20 1349 16 249 43 16 33 2 10 6 9 6 0 0 0 0 0 0 3 11 0 +8182 1984 Graduation Married 23228 1 0 05-01-2014 91 53 3 49 7 4 5 4 3 0 4 8 0 0 0 0 0 0 3 11 0 +10095 1975 PhD Divorced 74165 0 0 01-05-2013 9 1001 12 240 16 12 12 1 5 4 10 2 0 0 0 0 0 0 3 11 0 +8475 1973 PhD Married 157243 0 1 01-03-2014 98 20 2 1582 1 2 1 15 0 22 0 0 0 0 0 0 0 0 3 11 0 +4370 1966 Graduation Together 43482 2 1 13-11-2013 83 18 1 32 6 3 28 3 2 0 4 6 0 0 0 0 0 0 3 11 0 +10573 1953 Graduation Divorced 62551 0 0 18-11-2013 27 125 16 98 134 21 27 1 6 7 4 3 1 0 0 0 0 0 3 11 0 +3712 1959 Graduation Divorced 52332 0 0 28-08-2013 63 212 5 33 7 0 2 1 3 2 6 4 0 1 0 0 0 0 3 11 0 +6637 1988 Graduation Single 66951 0 0 02-11-2013 46 277 162 305 173 76 124 1 3 4 7 1 0 0 0 0 0 0 3 11 0 +3152 1957 Graduation Together 26091 1 1 25-02-2014 84 15 10 19 8 17 20 3 2 1 3 5 0 0 0 0 0 0 3 11 0 +5610 1965 Graduation Together 33456 1 1 21-04-2014 58 7 3 10 8 1 7 2 1 0 3 7 0 0 0 0 0 0 3 11 0 +6460 1982 Graduation Married 28718 1 0 13-07-2013 78 12 4 6 11 8 16 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +1349 1970 Graduation Married 50447 2 0 21-04-2014 4 85 7 24 2 3 27 1 3 1 3 6 0 0 0 0 0 0 3 11 0 +1880 1959 PhD Together 53537 1 1 30-01-2014 17 81 0 6 0 0 6 2 2 1 3 5 0 0 0 0 0 0 3 11 0 +641 1967 Graduation Single 52074 0 1 04-04-2014 77 59 0 12 0 0 48 1 2 2 2 4 1 0 0 0 0 0 3 11 0 +8717 1975 PhD Married 80427 0 1 12-09-2012 56 1149 71 449 69 71 26 1 11 8 8 5 0 0 0 0 0 0 3 11 0 +10314 1948 PhD Married 83837 0 0 16-12-2012 79 847 66 119 86 89 111 1 9 10 5 4 0 1 0 1 0 0 3 11 1 +10854 1970 PhD Married 38853 1 1 23-05-2014 90 29 0 14 0 0 2 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +10492 1959 Graduation Together 38285 2 1 24-06-2014 96 2 0 5 2 0 1 1 0 0 3 2 0 0 0 0 0 0 3 11 0 +6935 1951 2n Cycle Married 78497 0 0 01-12-2013 44 207 26 447 75 0 223 1 5 7 12 2 0 0 0 1 0 0 3 11 0 +7698 1976 PhD Married 51650 0 1 11-05-2014 81 152 3 22 2 5 7 1 4 1 4 5 0 0 0 0 0 0 3 11 0 +3559 1988 2n Cycle Married 16248 1 0 10-05-2014 77 12 11 10 3 12 9 3 2 1 3 6 0 0 0 0 0 0 3 11 0 +10562 1946 Master Married 66835 0 0 28-09-2013 21 620 26 195 34 17 141 1 6 4 13 2 0 0 0 0 0 0 3 11 0 +10796 1984 Master Married 30477 1 0 22-01-2014 16 47 1 6 0 0 12 1 1 1 3 6 0 0 0 0 0 0 3 11 0 +2563 1961 Basic Married 28249 0 0 15-06-2014 80 1 9 7 2 14 10 1 2 0 3 6 0 0 0 0 0 0 3 11 0 +3518 1983 Graduation Married 25271 1 0 05-12-2012 45 10 1 18 10 4 7 1 1 1 2 9 0 0 0 0 0 0 3 11 0 +5823 1970 PhD Single 32303 0 1 08-03-2014 63 35 0 2 0 0 2 2 1 0 4 5 0 0 0 0 0 0 3 11 0 +3934 1966 Graduation Married 61286 0 1 02-08-2013 34 356 0 107 19 9 117 2 7 1 8 5 0 0 0 0 0 0 3 11 0 +6982 1976 Graduation Married 74068 0 0 19-03-2013 14 783 30 537 140 76 15 1 4 10 9 2 0 0 0 0 0 0 3 11 0 +6431 1964 PhD Married 45759 1 1 23-02-2013 13 42 1 18 3 0 4 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +9733 1978 Basic Together 24882 1 0 09-09-2012 52 1 4 10 29 0 36 1 1 1 2 6 1 0 0 0 0 0 3 11 0 +5602 1989 PhD Together 66973 0 0 17-05-2013 98 466 22 432 147 113 102 1 8 7 12 3 0 0 0 0 0 0 3 11 0 +7829 1900 2n Cycle Divorced 36640 1 0 26-09-2013 99 15 6 8 7 4 25 1 2 1 2 5 0 0 0 0 0 1 3 11 0 +1324 1988 Graduation Married 38872 1 0 30-05-2013 93 23 3 21 3 19 22 2 3 0 3 8 0 0 0 0 0 0 3 11 0 +326 1973 Graduation Married 51148 1 1 18-02-2013 38 235 6 45 8 9 12 4 5 1 6 6 0 0 0 0 0 0 3 11 0 +7224 1977 Graduation Married 31353 1 1 29-12-2013 24 10 0 10 3 1 7 2 1 1 2 8 0 0 0 0 0 0 3 11 0 +6999 1980 Master Married 69661 0 0 13-05-2014 80 656 16 106 32 16 8 1 7 3 12 3 0 0 0 0 0 0 3 11 0 +9938 1954 Graduation Married 80067 0 0 19-09-2013 82 519 17 813 27 173 51 1 4 6 6 2 0 0 1 0 0 0 3 11 0 +6422 1954 Graduation Married 86718 0 0 17-01-2013 20 344 189 482 50 33 172 1 5 6 5 2 0 0 0 0 0 0 3 11 0 +3182 1973 PhD Single 46854 1 1 31-03-2014 81 96 1 79 7 1 79 6 5 1 3 8 1 0 0 0 0 0 3 11 1 +7300 1952 Graduation Divorced 69142 0 1 29-06-2014 50 448 4 34 6 4 39 3 8 1 7 5 0 1 0 0 0 0 3 11 0 +10424 1968 Graduation Single 75922 0 0 09-12-2013 60 265 138 553 224 23 92 1 4 4 9 1 0 0 0 0 0 0 3 11 0 +8727 1978 Graduation Divorced 63693 0 1 14-10-2013 63 587 43 337 42 87 54 3 11 6 9 6 0 0 0 0 0 0 3 11 0 +2798 1977 PhD Together 102160 0 0 02-11-2012 54 763 29 138 76 176 58 0 7 9 10 4 0 1 1 1 0 0 3 11 1 +1030 1965 PhD Single 40637 1 1 17-07-2013 72 22 0 13 0 0 3 2 1 0 3 7 0 0 0 0 0 0 3 11 0 +624 1984 Master Single 18890 0 0 10-11-2012 5 6 4 1 7 2 15 1 0 1 2 6 1 0 0 0 0 0 3 11 1 +5176 1988 Graduation Together 29604 1 0 08-12-2013 88 7 6 13 7 6 14 1 1 0 3 9 1 0 0 0 0 0 3 11 0 +5552 1963 Master Divorced 48721 1 1 13-05-2013 50 81 18 113 47 13 21 6 4 2 5 6 0 0 0 0 0 0 3 11 0 +868 1966 Graduation Married 44794 0 1 08-06-2014 99 54 0 7 0 0 4 1 2 0 3 6 0 0 0 0 0 0 3 11 0 +380 1954 Graduation Divorced 64497 0 1 10-09-2012 17 1170 48 320 42 32 192 5 11 4 9 8 1 0 0 0 0 0 3 11 1 +2677 1956 Graduation Together 46097 0 1 31-03-2013 11 72 24 68 65 4 8 5 3 1 6 4 0 0 0 0 0 0 3 11 0 +6521 1954 Graduation Together 77972 0 0 18-03-2014 18 613 22 319 33 102 12 1 4 6 9 1 0 0 0 0 0 0 3 11 0 +6927 1968 PhD Married 44377 1 1 05-10-2012 70 224 0 30 0 0 10 8 5 1 5 8 0 0 0 0 0 0 3 11 0 +2877 1974 Master Together 46014 1 1 21-01-2013 21 410 0 59 19 9 44 10 7 1 8 7 0 0 0 0 0 0 3 11 0 +0 1985 Graduation Married 70951 0 0 04-05-2013 66 239 10 554 254 87 54 1 3 4 9 1 0 0 0 0 0 0 3 11 0 +1584 1977 Graduation Married 41443 1 0 01-04-2014 79 171 7 171 25 19 89 6 8 1 5 8 0 0 0 0 0 0 3 11 0 +7264 1978 2n Cycle Single 52195 2 1 12-05-2014 2 12 0 4 0 0 1 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +6274 1948 Master Married 83790 0 0 15-11-2013 81 1076 16 417 42 48 16 1 8 10 6 3 0 1 1 0 0 0 3 11 0 +1377 1954 Master Widow 44551 0 1 31-08-2013 24 182 4 33 0 0 66 2 4 1 5 7 0 0 0 0 0 0 3 11 0 +454 1980 Graduation Together 69508 1 0 14-11-2012 48 824 32 162 42 32 43 2 11 4 11 6 0 0 0 0 0 0 3 11 0 +1755 1988 2n Cycle Together 45204 1 0 11-04-2014 93 30 11 25 29 1 18 1 1 1 4 3 0 0 0 0 0 0 3 11 0 +2075 1969 Graduation Married 72460 0 0 14-11-2013 56 377 10 540 80 30 10 1 3 5 7 1 0 0 0 0 0 0 3 11 0 +4785 1970 PhD Together 77622 0 2 14-04-2014 3 520 7 154 19 0 14 2 6 3 11 3 0 0 0 0 0 0 3 11 0 +9076 1980 PhD Married 30732 1 0 05-01-2013 44 155 1 25 0 1 3 4 4 1 4 8 0 0 0 0 0 0 3 11 0 +7079 1962 Graduation Divorced 63887 0 1 08-09-2012 38 897 23 207 15 11 92 5 9 6 12 6 0 0 0 0 0 0 3 11 0 +4653 1978 Graduation Together 42011 1 0 26-03-2013 46 131 0 16 2 1 39 4 3 1 4 8 0 0 0 0 0 0 3 11 0 +7375 1976 Graduation Together 51369 0 1 25-10-2012 84 297 7 79 0 11 182 2 8 2 4 8 0 0 0 0 0 0 3 11 0 +709 1952 Graduation Divorced 51537 0 1 09-12-2012 27 787 20 204 0 0 92 3 2 2 11 8 0 0 0 0 0 0 3 11 0 +460 1972 PhD Married 79930 0 0 08-08-2012 72 792 86 740 67 51 17 1 3 5 8 2 0 0 0 0 0 0 3 11 0 +3726 1986 PhD Together 34320 1 0 16-02-2014 66 4 1 9 3 0 0 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +6798 1966 Graduation Single 37070 1 1 20-03-2013 30 231 7 137 4 15 39 9 5 1 8 7 0 0 0 0 0 0 3 11 1 +5341 1962 2n Cycle Divorced 81975 0 1 05-01-2013 2 983 76 184 180 138 27 1 6 3 4 7 0 0 1 0 0 0 3 11 0 +1606 1971 Graduation Together 38590 1 0 15-05-2013 65 3 1 8 4 3 3 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +9617 1951 Graduation Single 15033 0 0 16-04-2014 37 0 4 5 6 0 4 1 1 0 3 3 0 0 0 0 0 0 3 11 0 +3233 1965 PhD Married 62745 0 1 23-03-2013 89 562 21 464 28 10 32 3 7 8 11 5 0 0 0 0 0 0 3 11 0 +89 1975 2n Cycle Married 22212 1 0 09-12-2013 49 5 9 20 6 8 21 2 2 0 4 6 0 0 0 0 0 0 3 11 0 +2936 1982 Master Together 23661 1 0 04-12-2013 46 18 0 4 0 0 1 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +9449 1958 PhD Single 79761 0 1 04-10-2013 32 415 5 124 15 35 11 1 5 2 11 3 0 0 0 0 0 0 3 11 0 +7297 1973 Graduation Single 7500 1 0 26-12-2013 54 5 3 10 12 7 20 4 3 1 3 7 0 0 0 0 0 0 3 11 0 +11004 1893 2n Cycle Single 60182 0 1 17-05-2014 23 8 0 5 7 0 2 1 1 0 2 4 0 0 0 0 0 0 3 11 0 +313 1968 Graduation Widow 73455 0 0 28-10-2013 98 901 61 757 186 163 20 1 6 5 10 3 0 1 0 0 0 0 3 11 0 +9940 1958 Graduation Together 64961 0 1 23-12-2012 97 382 114 276 75 124 38 2 6 4 4 3 0 0 0 0 0 0 3 11 0 +10735 1971 Graduation Single 22804 1 0 31-07-2013 75 14 1 7 2 1 1 1 2 0 2 9 0 0 0 0 0 0 3 11 0 +9529 1990 Graduation Married 73687 0 0 28-11-2013 8 559 153 503 218 13 181 1 3 9 9 2 0 0 0 1 0 0 3 11 1 +6439 1958 Graduation Married 61074 0 1 17-08-2012 37 789 0 133 0 28 152 7 11 5 8 7 0 0 0 0 0 0 3 11 0 +7411 1964 PhD Married 31686 1 1 05-06-2014 31 11 0 5 0 0 1 2 1 0 3 6 0 0 0 0 0 0 3 11 0 +2176 1972 Graduation Married 80134 1 0 20-05-2013 40 1218 16 272 104 0 80 2 5 3 6 6 0 1 1 1 0 0 3 11 1 +9265 1953 Graduation Married 75027 0 1 09-01-2013 74 925 64 179 133 12 77 2 9 4 6 5 0 0 0 0 0 0 3 11 0 +8867 1988 PhD Married 67546 0 0 31-08-2012 90 864 134 768 150 38 172 1 4 10 5 3 0 0 0 0 0 0 3 11 0 +8932 1969 Master Together 65176 0 1 29-10-2012 57 960 28 183 220 70 70 4 9 6 6 6 0 0 0 0 0 0 3 11 0 +10236 1975 Master Single 31160 1 0 16-09-2013 59 16 3 25 6 1 13 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +6340 1985 Graduation Single 29938 1 0 27-10-2013 52 3 3 7 0 2 11 2 1 0 3 6 0 0 0 0 0 0 3 11 0 +10089 1974 Graduation Divorced 102692 0 0 05-04-2013 5 168 148 444 32 172 148 1 6 9 13 2 0 1 1 1 1 0 3 11 1 +2227 1958 2n Cycle Together 26490 0 0 22-09-2012 92 45 47 52 21 20 25 2 3 1 5 6 0 0 0 0 0 0 3 11 0 +10992 1967 Graduation Together 75702 1 1 29-08-2012 77 650 28 353 45 42 30 5 4 6 11 8 0 0 0 0 0 0 3 11 0 +5304 1974 PhD Single 30899 1 0 13-10-2012 35 24 0 8 0 0 1 2 1 0 3 6 0 0 0 0 0 0 3 11 0 +309 1961 PhD Together 63342 0 1 16-10-2012 48 918 21 118 13 10 21 3 8 3 5 6 0 1 0 0 0 0 3 11 0 +3406 1964 Graduation Single 45989 0 1 22-10-2012 97 138 33 87 28 24 12 4 3 2 7 3 0 0 0 0 0 0 3 11 0 +2661 1964 Graduation Single 18701 1 1 04-06-2013 95 12 4 2 10 6 10 4 2 0 4 5 0 0 0 0 0 0 3 11 0 +3153 1957 PhD Single 40737 2 1 08-12-2013 24 11 0 4 0 0 2 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +10264 1979 Graduation Divorced 15287 1 0 10-10-2012 60 1 2 8 4 3 13 2 1 1 2 7 1 0 0 0 0 0 3 11 1 +1184 1968 PhD Divorced 69674 0 2 22-05-2013 46 554 41 215 11 0 24 3 10 2 10 5 0 0 0 0 0 0 3 11 0 +4200 1970 Master Married 44159 1 0 17-06-2014 85 167 2 62 24 13 7 4 4 1 6 5 0 0 0 0 0 0 3 11 0 +9396 1978 PhD Married 37717 1 0 23-11-2012 31 9 0 6 4 1 5 1 1 0 2 9 0 0 0 0 0 0 3 11 0 +2387 1952 Master Together 43776 1 1 03-02-2013 9 177 2 71 3 2 20 6 5 2 4 8 0 0 0 0 0 0 3 11 1 +6690 1966 Master Married 38179 1 1 14-03-2013 30 38 4 22 4 2 20 4 3 1 3 7 0 0 0 0 0 0 3 11 0 +1225 1963 Graduation Married 80124 0 0 26-06-2014 47 483 84 398 205 84 241 1 3 7 8 1 1 0 0 0 0 0 3 11 0 +9703 1970 PhD Married 38097 1 1 15-10-2012 70 77 2 35 0 1 69 4 3 2 2 7 1 0 0 0 0 0 3 11 1 +291 1970 Graduation Married 72940 0 0 19-06-2013 13 182 74 298 162 149 116 1 3 3 6 1 0 0 0 0 0 0 3 11 0 +4557 1970 Graduation Together 22070 1 0 04-10-2013 11 10 7 19 8 2 21 2 2 2 2 6 0 0 0 0 0 0 3 11 0 +2379 1953 Graduation Single 69267 0 0 22-09-2012 31 778 44 499 95 73 146 2 3 4 5 7 0 0 0 0 0 0 3 11 1 +5726 1983 Master Single 31788 1 0 20-03-2014 15 16 7 23 0 8 6 3 3 0 4 5 0 0 0 0 0 1 3 11 0 +3066 1975 PhD Together 61905 0 1 04-02-2014 2 167 0 43 6 2 13 2 4 2 4 5 0 0 0 0 0 0 3 11 0 +6336 1960 Graduation Married 29315 1 1 06-04-2014 55 13 2 14 8 7 4 4 2 0 4 6 0 0 0 0 0 0 3 11 0 +10967 1963 Graduation Divorced 33378 1 1 06-02-2013 38 33 6 40 3 7 10 3 2 0 4 7 0 0 0 0 0 0 3 11 0 +2304 1963 PhD Together 66313 0 1 16-09-2013 86 625 7 99 10 22 7 2 6 3 12 4 0 0 0 0 0 0 3 11 0 +3445 1956 Graduation Single 60714 0 0 17-01-2013 56 216 162 224 101 92 162 2 7 4 10 5 0 0 0 0 0 0 3 11 1 +7828 1981 Master Together 77882 0 0 30-04-2014 29 68 129 396 188 22 15 1 3 3 5 1 0 0 0 0 0 0 3 11 0 +3762 1986 PhD Single 69867 0 0 02-04-2013 30 196 0 512 33 130 54 1 3 5 8 1 0 0 0 1 0 0 3 11 1 +4391 1968 Master Divorced 63841 0 1 21-04-2013 64 635 15 100 20 7 131 1 9 3 9 6 0 0 0 0 0 0 3 11 0 +4669 1981 Basic Married 24480 1 0 11-02-2013 46 4 19 9 28 25 17 3 3 0 4 7 0 0 0 0 0 0 3 11 0 +10144 1976 Graduation Together 51369 0 1 25-10-2012 84 297 7 79 0 11 182 2 8 2 4 8 0 0 0 0 0 0 3 11 0 +8652 1946 Graduation Together 37760 0 0 31-08-2012 20 84 5 38 150 12 28 2 4 1 6 7 0 0 0 0 0 0 3 11 0 +1672 1974 PhD Together 65640 0 1 01-03-2014 74 204 7 149 20 15 66 1 5 1 8 2 0 0 0 0 0 0 3 11 0 +8962 1975 Master Married 44319 1 1 17-04-2014 18 26 0 8 0 0 3 2 2 0 3 5 0 0 0 0 0 0 3 11 0 +9974 1974 Graduation Married 30631 1 0 12-07-2013 75 15 6 20 4 5 20 1 3 1 2 7 0 0 0 0 0 0 3 11 0 +10983 1952 Graduation Together 75278 0 0 29-01-2013 17 304 98 230 150 74 74 1 6 3 13 3 0 0 0 0 0 0 3 11 0 +8148 1956 Master Together 50898 1 1 08-01-2013 88 285 28 242 55 114 135 13 6 2 12 5 0 0 0 0 0 0 3 11 0 +10102 1966 Graduation Widow 79946 0 0 12-05-2014 19 395 183 565 166 141 28 1 5 11 5 3 0 0 0 0 0 0 3 11 0 +4697 1949 Master Divorced 35416 0 0 13-06-2013 62 248 3 81 4 3 51 3 7 1 5 8 0 0 0 0 0 0 3 11 0 +9262 1984 2n Cycle Together 32414 0 0 04-07-2013 11 20 6 5 0 9 12 1 1 0 3 7 1 0 0 0 0 0 3 11 0 +7254 1969 Graduation Together 38361 1 0 27-12-2013 74 39 0 56 20 8 14 3 3 1 3 7 0 0 0 0 0 0 3 11 0 +4543 1980 Graduation Married 82497 0 0 31-10-2012 32 777 129 573 216 21 203 1 2 7 9 4 0 0 1 0 0 0 3 11 0 +4927 1971 Graduation Together 16626 2 0 15-01-2014 76 8 3 22 21 1 13 3 3 0 3 9 0 0 0 0 0 0 3 11 0 +10451 1965 Graduation Together 29672 1 1 12-03-2013 6 9 1 3 0 4 8 1 0 0 3 6 0 0 0 0 0 0 3 11 0 +2926 1952 Master Together 55951 0 1 23-08-2012 62 1241 0 80 0 13 40 3 3 6 11 8 0 1 0 0 1 0 3 11 0 +2874 1988 2n Cycle Divorced 35388 1 0 07-03-2013 20 6 4 7 4 3 8 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +9738 1986 Master Together 42386 1 0 13-01-2013 43 65 4 16 0 4 11 1 3 0 3 8 0 0 0 0 0 0 3 11 0 +7119 1982 Graduation Single 68627 0 0 12-01-2013 45 395 15 263 60 54 38 1 2 3 6 1 0 0 0 0 0 0 3 11 0 +3924 1965 PhD Divorced 57912 0 1 17-03-2014 34 801 0 80 0 0 35 5 8 3 12 5 0 1 0 0 0 0 3 11 0 +5827 1958 Graduation Divorced 35246 1 1 16-04-2014 53 36 0 12 2 2 10 4 3 1 3 5 0 0 0 0 0 0 3 11 0 +5596 1956 2n Cycle Together 58821 0 1 12-10-2013 44 513 14 154 19 0 28 1 9 2 9 6 0 0 0 0 0 0 3 11 0 +10812 1978 PhD Married 46377 1 0 01-03-2014 89 37 0 46 4 3 0 1 2 1 3 4 0 0 0 0 0 0 3 11 0 +1717 1988 Graduation Single 39747 1 0 13-04-2014 43 80 15 93 20 13 52 3 5 1 4 8 0 0 0 0 0 0 3 11 0 +9491 1984 Graduation Together 23976 1 0 27-12-2013 68 14 1 21 2 3 25 3 3 1 3 7 0 0 0 0 0 0 3 11 0 +9274 1961 Master Married 80950 0 0 28-03-2013 44 525 147 112 219 147 63 1 6 7 9 2 0 0 0 1 0 0 3 11 0 +6609 1966 Graduation Widow 27038 0 0 18-09-2012 64 1 26 25 17 23 15 1 3 0 3 9 0 0 0 0 0 0 3 11 1 +6963 1947 Graduation Single 77457 0 0 05-03-2014 85 675 11 400 15 45 11 1 2 5 10 1 0 0 1 0 0 0 3 11 0 +4440 1964 Master Married 64100 0 1 10-09-2013 93 509 0 27 0 0 10 1 8 3 6 7 0 1 0 0 0 0 3 11 0 +1379 1992 Master Together 42670 0 0 27-04-2013 12 154 2 46 20 4 15 1 4 2 4 4 0 0 0 0 0 0 3 11 0 +10032 1976 Graduation Divorced 12571 1 0 18-01-2014 86 3 5 14 2 12 17 4 3 1 3 6 0 0 0 0 0 0 3 11 0 +2826 1967 Graduation Married 22574 2 1 28-10-2013 28 25 0 8 2 0 2 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +2437 1989 Graduation Married 0 0 03-06-2013 69 861 138 461 60 30 61 1 6 5 12 3 0 1 0 1 0 0 3 11 0 +6320 1976 Master Single 70893 0 0 06-02-2013 42 768 44 561 77 44 14 1 6 6 10 3 0 0 0 0 0 0 3 11 0 +3050 1966 Graduation Married 54198 1 1 17-12-2013 13 185 0 28 3 2 17 6 3 1 6 4 0 0 0 0 0 0 3 11 0 +231 1956 Master Together 28839 1 1 11-03-2014 86 24 0 7 0 0 1 2 2 0 3 5 0 0 0 0 0 0 3 11 0 +2392 1972 Graduation Married 40321 1 1 29-07-2013 59 44 4 21 6 0 27 2 3 0 3 7 0 0 0 0 0 0 3 11 0 +9478 1985 Graduation Single 66503 1 0 14-08-2012 30 91 64 128 65 3 50 2 4 3 6 3 0 0 0 0 0 0 3 11 0 +113 1951 Graduation Married 30833 1 1 16-07-2013 33 11 0 7 3 1 6 2 1 0 3 5 0 0 0 0 0 0 3 11 0 +2863 1970 Graduation Single 1 2 23-08-2013 67 738 20 172 52 50 20 6 2 3 10 7 0 1 0 1 0 0 3 11 0 +1802 1971 Graduation Married 64795 0 1 17-01-2013 23 412 5 119 38 29 77 3 3 3 12 2 0 0 0 0 0 0 3 11 0 +520 1974 Graduation Married 34421 1 0 01-07-2013 81 3 3 7 6 2 9 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +8275 1965 PhD Divorced 47025 1 1 09-02-2014 6 16 0 3 0 0 1 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +9750 1961 PhD Divorced 64325 0 1 07-02-2013 41 731 60 353 78 12 73 5 10 3 5 7 0 0 0 0 0 0 3 11 0 +2607 1953 Graduation Single 40464 0 1 11-01-2013 78 424 17 118 7 23 41 6 8 2 8 8 0 0 0 0 0 0 3 11 0 +7214 1957 Graduation Married 62187 0 0 05-07-2013 49 792 0 275 45 45 126 1 4 8 5 3 0 0 0 0 0 0 3 11 0 +5835 1976 PhD Divorced 14849 1 0 02-07-2013 39 21 2 28 3 2 9 3 2 0 4 8 0 0 0 0 0 0 3 11 0 +3896 1984 Graduation Married 27255 1 0 07-11-2013 3 22 1 11 0 1 2 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +10350 1950 PhD Married 54432 2 1 09-05-2013 37 33 0 5 0 0 0 1 1 0 3 4 0 0 0 0 0 0 3 11 0 +7786 1986 PhD Single 29999 1 0 13-02-2013 22 68 7 59 10 5 11 4 3 1 4 8 0 0 0 0 0 0 3 11 0 +2861 1983 Graduation Single 24072 1 0 16-04-2013 79 9 1 6 3 0 4 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +663 1989 PhD Single 33996 0 0 11-09-2013 46 40 2 15 8 0 6 1 1 1 3 4 0 0 0 0 0 0 3 11 0 +10675 1956 PhD Married 66334 0 1 03-04-2013 82 909 11 218 0 0 23 2 9 3 5 5 0 0 0 0 0 0 3 11 1 +2521 1971 Master Married 35178 1 0 10-01-2013 10 23 1 13 2 2 18 1 1 1 2 7 1 0 0 0 0 0 3 11 1 +9592 1983 Graduation Together 22010 1 0 30-06-2013 51 11 2 9 3 0 8 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +10151 1960 Graduation Divorced 62204 0 2 12-09-2012 38 317 46 247 151 46 139 1 4 5 12 3 0 0 0 0 0 0 3 11 0 +7381 1968 Graduation Divorced 75693 0 0 06-12-2012 10 797 153 293 72 97 30 1 11 4 6 4 0 1 1 1 0 0 3 11 1 +4099 1972 Graduation Married 30675 1 0 12-11-2012 14 10 2 16 11 2 21 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +9560 1965 Graduation Together 83003 0 0 03-03-2013 18 856 61 570 40 25 122 1 7 6 8 3 0 0 1 0 0 0 3 11 1 +1150 1899 PhD Together 83532 0 0 26-09-2013 36 755 144 562 104 64 224 1 4 6 4 1 0 0 1 0 0 0 3 11 0 +10172 1988 Graduation Single 68655 0 0 10-08-2012 95 456 19 832 75 118 38 1 4 5 11 3 0 0 0 0 0 0 3 11 0 +11191 1986 Graduation Divorced 41411 0 0 07-12-2013 11 37 32 38 11 3 18 1 2 1 4 6 0 0 0 0 0 0 3 11 0 +9707 1969 PhD Married 55212 0 1 23-11-2012 65 1103 0 45 0 0 34 3 4 2 11 8 0 1 0 0 1 0 3 11 0 +6245 1950 PhD Together 59292 0 1 13-06-2013 71 378 14 68 19 14 14 2 3 5 8 3 0 0 0 0 0 0 3 11 0 +8234 1973 Basic Together 27190 1 0 15-08-2013 13 1 6 7 0 1 3 1 1 0 2 8 1 0 0 0 0 0 3 11 1 +1411 1952 Graduation Divorced 82623 0 0 10-11-2013 58 204 34 204 172 153 173 1 2 9 4 1 0 0 0 0 0 0 3 11 0 +8553 1965 Graduation Married 44300 1 1 23-06-2013 65 30 0 9 0 0 3 2 1 0 3 6 0 0 0 0 0 0 3 11 0 +1826 1970 Graduation Divorced 84835 0 0 16-06-2014 0 189 104 379 111 189 218 1 4 4 6 1 0 0 0 0 0 0 3 11 1 +8842 1971 Graduation Widow 30372 1 1 25-12-2012 33 15 0 12 7 3 7 3 2 0 3 7 0 0 0 0 0 0 3 11 0 +11030 1976 Master Married 33181 1 0 03-01-2014 90 9 0 3 0 0 4 1 1 0 2 6 1 0 0 0 0 0 3 11 0 +2579 1957 Graduation Married 71113 0 1 17-12-2013 95 495 33 255 11 33 8 4 6 7 9 4 0 0 0 0 0 0 3 11 0 +175 1986 Graduation Married 71952 1 0 10-01-2013 93 656 80 455 52 107 93 2 8 4 8 4 1 0 1 0 0 0 3 11 0 +9185 1966 PhD Single 69759 0 0 28-10-2013 38 452 20 514 13 30 0 3 4 6 5 3 0 0 0 0 0 0 3 11 1 +11056 1974 Graduation Married 72099 0 0 27-10-2012 18 546 91 410 119 0 22 1 3 4 10 1 0 0 0 0 0 0 3 11 0 +9365 1976 PhD Single 60000 0 1 22-12-2012 57 1048 0 217 0 0 12 5 11 3 5 6 0 0 0 0 0 0 3 11 0 +6201 1978 Graduation Single 38643 1 1 29-11-2013 45 22 2 14 0 1 10 2 2 0 3 7 0 0 0 0 0 1 3 11 0 +2061 1955 Graduation Married 50737 0 1 11-05-2013 61 78 0 11 0 0 10 1 2 0 4 6 0 1 0 0 0 0 3 11 0 +6184 1969 PhD Married 68462 0 0 12-12-2012 6 561 64 785 84 128 48 1 3 3 8 1 0 0 0 0 0 0 3 11 0 +6142 1943 Master Married 65073 0 0 20-08-2013 65 629 17 177 69 0 8 1 5 3 5 2 0 0 0 0 0 1 3 11 0 +4107 1948 PhD Together 46681 0 2 08-10-2013 52 269 15 69 15 19 38 2 4 6 4 5 0 0 0 0 0 0 3 11 0 +7274 1957 Graduation Married 78618 0 0 28-09-2012 87 736 163 818 212 163 61 1 4 7 10 2 0 1 0 0 0 0 3 11 0 +9336 1969 PhD Widow 62187 0 1 22-03-2014 38 512 0 83 0 0 41 3 6 2 10 4 0 0 0 0 0 0 3 11 0 +2958 1978 Graduation Married 28442 2 0 24-02-2014 53 19 3 10 11 8 6 3 2 1 4 4 0 0 0 0 0 0 3 11 0 +933 1978 PhD Married 37717 1 0 23-11-2012 31 9 0 6 4 1 5 1 1 0 2 9 0 0 0 0 0 0 3 11 0 +5837 1967 Graduation Married 51479 1 1 28-12-2012 67 247 8 160 6 8 65 7 6 3 6 7 0 0 0 0 0 0 3 11 0 +10704 1969 Graduation Single 54803 0 1 21-08-2012 65 404 0 92 28 27 142 2 6 2 9 4 0 0 0 0 0 0 3 11 0 +5125 1960 Graduation Married 79530 0 0 17-05-2013 64 333 0 815 129 42 29 1 4 10 11 2 0 0 0 0 0 0 3 11 0 +4432 1976 Graduation Divorced 31615 1 0 16-03-2013 82 2 3 20 6 11 9 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +5955 1962 Graduation Together 72025 0 0 17-11-2012 27 833 33 549 151 133 233 1 4 3 8 3 0 0 0 0 0 0 3 11 0 +2928 1975 PhD Single 52614 0 1 01-12-2012 63 789 0 142 12 9 38 2 2 4 8 8 0 0 0 0 0 0 3 11 0 +5680 1984 2n Cycle Married 35684 1 0 22-04-2014 66 10 4 7 0 6 3 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +10313 1975 Graduation Married 48178 1 1 28-10-2012 69 159 4 45 6 2 38 6 5 1 4 8 0 0 0 0 0 0 3 11 0 +2557 1970 Master Single 29548 1 0 29-08-2013 52 7 1 6 3 1 11 1 1 1 2 4 1 0 0 0 0 0 3 11 0 +1245 1966 Graduation Single 63810 0 1 11-11-2012 45 977 12 253 16 12 101 4 4 3 12 8 0 1 0 0 0 0 3 11 0 +1519 1972 PhD Single 38578 1 1 22-06-2013 2 38 4 22 3 3 3 3 3 0 3 8 0 0 0 0 0 0 3 11 1 +10703 1975 Master Single 46098 1 1 18-08-2012 86 57 0 27 0 0 36 4 3 2 2 8 0 0 0 0 0 0 3 11 0 +1726 1970 Graduation Single 22585 0 0 18-03-2013 23 3 9 15 13 2 39 1 1 1 2 9 1 0 0 0 0 0 3 11 1 +4459 1989 Graduation Single 30279 1 0 30-12-2012 13 10 4 14 4 4 1 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +1729 1961 PhD Together 66426 0 1 02-10-2013 14 1043 24 97 32 24 157 2 3 5 10 6 0 0 0 0 0 0 3 11 0 +1517 1969 Graduation Single 30822 1 0 14-06-2013 92 3 9 13 2 12 12 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +2098 1969 PhD Married 33581 2 0 08-01-2013 38 11 0 5 0 0 1 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +9543 1985 Graduation Married 19986 1 0 14-11-2013 74 3 6 5 0 2 6 1 0 0 3 7 0 0 0 0 0 0 3 11 0 +6878 1954 Graduation Widow 27421 0 0 12-12-2012 14 43 12 96 78 40 55 3 4 1 6 7 0 0 0 0 0 0 3 11 0 +3310 1973 2n Cycle Married 35688 2 1 22-08-2012 94 73 3 90 12 1 32 7 4 1 4 8 0 0 0 0 0 0 3 11 0 +2724 1981 Master Single 36143 1 0 30-03-2014 33 12 0 1 0 0 6 1 0 1 2 3 0 0 0 0 0 0 3 11 0 +948 1971 Graduation Single 10245 1 0 15-05-2013 32 4 7 7 6 4 13 3 1 2 2 5 0 0 0 0 0 0 3 11 0 +6720 1968 Master Together 43795 0 1 16-10-2013 11 314 11 53 4 3 107 3 7 3 4 7 0 1 0 0 0 0 3 11 1 +6202 1960 Graduation Together 63381 0 1 05-10-2012 78 571 50 142 33 50 159 4 4 5 13 2 0 0 0 0 0 0 3 11 0 +2066 1949 Graduation Together 38823 0 1 30-08-2012 56 70 0 11 2 8 23 1 2 1 3 6 0 0 0 0 0 0 3 11 0 +9799 1968 PhD Divorced 83664 1 1 08-05-2013 57 866 21 151 28 21 86 3 2 2 12 5 0 0 0 0 0 0 3 11 0 +8318 1979 Graduation Together 90300 0 0 03-01-2014 7 594 134 786 33 134 57 0 5 6 8 1 0 0 1 0 0 0 3 11 0 +5642 1979 Master Together 62499 1 0 09-12-2013 0 140 4 61 0 13 4 2 3 1 6 4 0 0 0 0 0 0 3 11 0 +2669 1993 Graduation Single 74293 0 0 04-05-2014 66 375 152 335 93 91 81 1 5 4 6 2 0 0 0 0 0 0 3 11 0 +455 1946 PhD Married 51012 0 0 18-04-2013 86 102 9 63 2 9 24 1 4 1 4 6 0 0 0 0 0 0 3 11 0 +7683 1968 Master Married 70777 0 1 25-02-2014 80 554 35 113 0 7 78 3 5 3 12 3 0 0 0 0 0 0 3 11 0 +3428 1991 PhD Together 68682 0 0 06-10-2013 56 919 0 505 99 30 45 1 4 9 10 2 0 0 0 0 0 0 3 11 0 +7414 1971 Graduation Married 43824 1 1 15-09-2012 18 96 1 42 12 3 32 4 3 1 4 8 0 0 0 0 0 0 3 11 0 +6354 1984 Graduation Together 15345 1 0 31-08-2012 51 5 2 16 3 2 19 2 1 1 2 8 0 0 0 0 0 0 3 11 1 +798 1987 Graduation Single 23442 1 0 24-12-2012 71 2 0 6 8 6 5 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +8213 1980 2n Cycle Together 14515 1 0 09-11-2012 71 6 4 9 6 36 35 4 2 2 3 7 0 0 0 0 0 0 3 11 1 +2488 1956 2n Cycle Divorced 31395 1 1 23-03-2013 80 23 1 25 0 8 7 4 2 1 3 6 0 0 0 0 0 0 3 11 0 +9999 1965 Graduation Together 75276 0 0 27-09-2012 2 610 105 125 137 42 21 1 9 4 9 5 0 0 0 0 0 0 3 11 0 +7617 1974 Graduation Single 42373 1 1 15-08-2013 83 67 5 61 3 8 19 5 2 1 5 5 0 0 0 0 0 0 3 11 0 +615 1960 Graduation Together 30507 0 0 11-03-2013 29 65 36 74 38 20 110 1 5 1 4 7 0 0 0 0 0 0 3 11 0 +2552 1955 PhD Single 55521 1 2 22-10-2013 11 416 0 26 0 0 4 9 6 3 6 7 0 1 0 0 0 0 3 11 1 +194 1965 Graduation Married 48006 1 1 09-06-2014 55 23 0 11 3 2 2 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +3645 1972 PhD Single 27213 1 0 30-08-2012 19 19 3 26 10 9 3 3 2 0 4 8 0 0 0 0 0 0 3 11 1 +8890 1971 PhD Divorced 65808 1 1 30-05-2014 1 155 7 80 13 7 10 3 5 1 5 6 0 0 0 0 0 0 3 11 0 +5049 1974 PhD Together 30351 1 0 06-06-2013 19 14 0 24 3 3 2 1 3 0 2 9 0 0 0 0 0 0 3 11 0 +9973 1963 Graduation Married 50437 0 2 17-10-2012 28 370 9 92 6 9 4 3 7 1 8 7 0 0 0 0 0 0 3 11 0 +7301 1982 2n Cycle Single 23616 1 0 17-11-2012 76 4 22 11 3 7 32 2 3 0 3 8 0 0 0 0 0 0 3 11 1 +10882 1976 Graduation Married 53858 0 1 09-11-2012 50 407 53 221 58 150 26 4 4 3 6 4 0 0 0 0 0 0 3 11 0 +7030 1955 PhD Married 66465 0 1 30-03-2013 1 1200 0 204 38 29 14 3 11 9 12 6 0 0 0 1 0 0 3 11 0 +7422 1987 Graduation Single 46923 1 0 22-08-2012 90 85 44 54 102 78 6 3 5 1 7 7 0 0 0 0 0 0 3 11 0 +3523 1962 Graduation Together 75072 0 1 23-01-2013 83 583 34 309 0 22 125 2 5 4 8 3 0 0 0 0 0 0 3 11 0 +7106 1943 PhD Married 75865 0 0 31-03-2014 73 483 0 591 156 0 12 1 3 5 10 1 0 0 0 0 0 0 3 11 0 +6504 1975 2n Cycle Together 19789 1 0 20-11-2013 24 2 5 9 28 6 28 3 2 1 3 5 1 0 0 0 0 0 3 11 0 +5067 1994 Graduation Together 80134 0 0 14-02-2014 11 966 26 282 52 26 26 1 2 7 11 5 0 1 1 1 1 0 3 11 0 +4216 1981 Graduation Single 91065 0 0 22-02-2013 33 822 114 108 179 137 114 1 7 9 9 3 0 0 1 1 0 0 3 11 1 +8581 1971 Master Married 49505 1 1 05-03-2013 4 604 0 100 19 0 28 9 10 2 8 8 0 0 0 0 0 0 3 11 0 +5929 1973 PhD Married 37401 1 0 06-05-2014 14 19 3 19 3 1 3 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +3129 1983 Graduation Married 30096 1 0 22-05-2014 30 5 3 11 12 5 9 1 2 0 3 6 0 0 0 0 0 0 3 11 0 +6528 1982 Master Together 18492 1 0 05-06-2014 75 2 2 2 2 1 1 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +1361 1974 Master Married 82584 0 0 04-06-2013 26 1076 68 103 29 91 68 1 3 4 8 1 0 1 1 0 0 0 3 11 1 +6932 1941 PhD Married 93027 0 0 13-04-2013 77 1285 42 716 55 0 21 0 7 10 5 2 0 0 1 0 0 0 3 11 0 +7284 1953 Graduation Married 48686 1 2 04-12-2013 8 10 0 7 2 0 1 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +1340 1986 Graduation Married 92910 0 0 24-04-2014 42 551 137 792 179 103 33 1 6 7 13 1 0 1 1 1 0 0 3 11 0 +8746 1989 Graduation Married 75433 1 0 05-04-2014 28 800 0 297 0 34 57 2 2 5 10 6 0 1 0 1 0 0 3 11 0 +5987 1989 2n Cycle Together 10404 1 0 04-05-2014 52 2 2 11 10 6 12 2 1 0 4 5 0 0 0 0 0 0 3 11 0 +3767 1968 Graduation Married 61314 0 1 25-04-2013 1 378 0 189 97 172 172 2 5 5 12 3 0 0 0 0 0 0 3 11 0 +3725 1961 PhD Single 84865 0 0 09-05-2013 1 1248 16 349 43 16 16 1 2 4 9 4 0 1 1 1 1 0 3 11 1 +4324 1989 Graduation Married 42387 1 0 29-10-2012 42 235 0 235 19 4 191 5 8 1 7 8 0 0 0 0 0 0 3 11 0 +238 1967 2n Cycle Together 67309 1 1 23-01-2013 76 515 47 181 149 95 95 15 9 6 9 7 0 0 0 0 0 0 3 11 0 +6694 1964 Graduation Married 75236 0 1 25-11-2013 27 438 66 400 12 38 114 1 8 3 13 4 0 0 0 0 0 0 3 11 0 +498 1970 Graduation Single 30015 1 0 02-02-2014 28 25 0 22 2 3 5 2 1 0 4 5 0 0 0 0 0 0 3 11 0 +9347 1956 Master Together 50943 0 1 21-06-2013 49 31 0 7 2 0 6 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +9699 1966 Graduation Divorced 67272 0 1 21-12-2013 12 357 35 271 28 28 14 3 6 2 12 5 0 0 0 0 0 0 3 11 0 +10664 1949 Master Widow 51529 0 1 07-09-2013 14 400 4 35 6 0 22 2 9 1 5 8 0 0 0 0 0 0 3 11 0 +5455 1971 PhD Married 32011 1 0 22-08-2013 89 99 0 15 2 1 5 3 2 1 4 7 0 0 0 0 0 0 3 11 0 +456 1986 2n Cycle Married 7500 1 0 07-02-2013 96 1 11 5 4 6 9 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +5012 1989 Graduation Married 28691 1 0 04-07-2013 56 5 4 13 8 0 4 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +7495 1948 PhD Married 56223 0 1 20-12-2013 72 77 28 31 16 0 4 2 2 1 5 4 0 0 0 0 0 0 3 11 0 +5029 1946 Graduation Married 18100 0 0 06-08-2013 14 3 1 2 4 3 1 1 0 0 3 5 0 0 0 0 0 0 3 11 0 +10642 1989 Graduation Single 30279 1 0 30-12-2012 13 10 4 14 4 4 1 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +2106 1974 2n Cycle Married 20130 0 0 17-03-2014 99 0 6 3 7 6 12 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +10364 1959 Graduation Divorced 23295 0 0 13-07-2013 72 0 0 1 2 12 5 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +5954 1972 Master Divorced 42618 1 0 09-10-2013 92 76 14 74 13 5 10 2 5 0 4 8 0 0 0 0 0 0 3 11 0 +1137 1964 Graduation Single 81246 0 0 29-12-2013 87 398 190 537 61 156 37 1 4 5 7 1 1 0 0 1 0 0 3 11 0 +2541 1976 Graduation Married 24027 1 0 09-06-2013 7 14 7 11 11 0 5 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +1142 1953 PhD Married 55707 0 1 22-12-2013 91 208 7 82 30 66 35 2 3 2 9 3 0 0 0 0 0 0 3 11 0 +2276 1955 Graduation Single 57959 0 1 02-05-2013 71 430 16 322 43 24 33 5 4 7 11 3 0 0 0 0 0 0 3 11 0 +2807 1969 Graduation Married 56796 0 1 16-02-2013 24 656 38 161 62 47 37 3 8 9 7 7 0 0 0 0 0 0 3 11 0 +6471 1971 Master Single 36230 1 0 17-10-2013 17 14 2 30 8 2 3 1 2 0 4 5 0 0 0 0 0 0 3 11 0 +6131 1980 2n Cycle Married 70829 1 1 01-12-2013 87 141 70 106 72 19 23 2 4 2 8 3 0 0 0 0 0 0 3 11 0 +6233 1976 Graduation Married 65991 0 1 07-09-2012 21 507 19 364 25 47 9 3 9 5 10 7 0 0 0 0 0 0 3 11 0 +4148 1972 Graduation Married 38988 1 2 20-08-2012 90 164 24 103 12 3 42 7 5 1 6 8 0 0 0 0 0 0 3 11 0 +4947 1966 2n Cycle Single 89572 0 0 15-09-2012 44 606 24 974 197 194 64 1 7 7 9 4 0 1 0 1 0 0 3 11 1 +3225 1984 Master Married 42207 1 0 01-04-2013 71 116 11 72 3 17 46 4 4 1 5 6 1 0 0 0 0 0 3 11 1 +7540 1952 Graduation Married 50300 0 1 25-05-2014 52 143 15 60 24 23 5 2 2 1 8 2 0 0 0 0 0 0 3 11 0 +10648 1982 2n Cycle Together 66664 0 0 25-09-2012 78 398 96 447 220 96 32 1 5 7 6 3 0 0 0 0 0 0 3 11 0 +1992 1964 Graduation Married 60597 0 1 01-01-2014 2 522 0 257 32 16 66 4 2 2 8 7 0 0 0 1 0 0 3 11 1 +7851 1949 Graduation Widow 70165 0 0 22-09-2013 60 161 0 253 199 191 122 1 3 7 11 1 0 0 0 0 0 0 3 11 0 +8594 1958 PhD Widow 50520 0 1 28-01-2014 25 112 0 6 2 1 14 2 3 1 3 6 0 0 0 0 0 0 3 11 0 +7059 1963 Graduation Married 80124 0 0 26-06-2014 47 483 84 398 205 84 241 1 3 7 8 1 1 0 0 0 0 0 3 11 0 +2815 1975 Graduation Married 33183 1 0 24-02-2014 46 7 5 39 17 15 37 2 4 0 3 7 0 0 0 0 0 0 3 11 0 +2416 1969 PhD Single 66582 0 0 03-03-2014 83 789 25 420 16 38 0 1 2 8 9 1 0 0 0 0 0 0 3 11 0 +7999 1955 PhD Together 75261 0 0 23-04-2013 17 1239 17 413 23 34 17 1 5 6 5 2 0 1 1 0 0 0 3 11 1 +9213 1970 Graduation Widow 31880 1 0 31-10-2012 13 4 1 5 2 0 3 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +9697 1951 Graduation Married 53790 0 2 06-03-2014 86 335 42 127 28 5 5 3 7 2 8 6 0 0 0 0 0 0 3 11 0 +3916 1971 PhD Together 49269 1 0 15-08-2012 92 639 8 166 11 8 58 3 7 3 12 7 0 0 0 0 0 0 3 11 0 +2021 1975 Graduation Married 61456 0 1 27-03-2013 47 563 76 384 84 192 89 4 6 10 13 4 0 0 0 0 0 0 3 11 0 +1581 1980 Graduation Married 37406 1 0 10-10-2013 18 2 0 8 2 2 3 1 1 0 2 8 0 0 0 0 0 0 3 11 1 +564 1981 PhD Together 56937 1 0 04-08-2012 81 746 8 125 11 8 8 7 8 6 9 6 0 1 0 0 0 0 3 11 1 +6619 1978 Graduation Married 38415 1 1 02-01-2013 91 22 1 13 4 0 4 2 1 0 3 7 0 0 0 0 0 0 3 11 0 +9081 1988 Graduation Single 20518 1 0 18-05-2014 58 4 1 6 4 1 9 1 1 1 2 5 0 0 0 0 0 0 3 11 0 +178 1956 Graduation Married 62503 0 1 18-02-2013 40 478 0 193 110 75 117 4 8 3 11 5 0 0 0 0 0 0 3 11 0 +916 1972 PhD Single 41644 1 1 09-05-2014 67 20 3 4 2 0 2 2 1 0 3 3 0 0 0 0 0 0 3 11 0 +5512 1977 Master Married 55842 0 1 23-05-2014 19 451 0 39 0 4 24 1 7 1 8 5 0 0 0 0 0 0 3 11 0 +8970 1972 PhD Married 62010 0 1 23-10-2012 93 371 22 39 6 0 92 4 6 2 7 5 0 0 0 0 0 0 3 11 0 +10581 1977 Graduation Married 41124 1 0 31-10-2012 41 281 7 84 15 0 119 7 7 3 4 8 0 0 0 0 0 0 3 11 0 +5300 1973 Master Married 38961 1 0 30-12-2013 60 19 7 19 0 1 24 1 2 1 2 7 0 0 0 0 0 0 3 11 0 +5154 1972 Master Divorced 37760 1 0 11-08-2013 54 26 3 13 2 10 0 1 2 0 3 6 0 0 0 0 0 0 3 11 0 +8346 1974 Graduation Single 32233 1 0 19-08-2012 26 138 15 35 25 11 72 2 6 2 2 9 1 0 0 0 0 0 3 11 1 +1676 1975 Graduation Married 43057 0 1 30-10-2013 30 213 2 44 0 2 5 4 4 2 5 5 0 0 0 0 0 0 3 11 0 +9286 1960 Master Together 83151 0 0 10-10-2012 93 407 28 100 120 74 18 1 5 9 4 3 0 0 0 0 0 0 3 11 0 +2426 1964 PhD Divorced 78825 0 0 14-09-2012 35 483 74 114 169 37 18 1 5 10 13 3 0 0 0 0 0 0 3 11 1 +5172 1976 Master Together 65104 0 1 14-11-2013 4 738 0 232 13 20 50 2 3 5 7 7 0 0 0 0 0 0 3 11 0 +5562 1974 Graduation Married 60093 0 1 26-06-2013 92 502 12 109 16 6 90 2 7 2 10 6 0 0 0 0 0 0 3 11 0 +3436 1969 Graduation Married 14045 1 0 26-01-2014 24 11 0 5 2 1 1 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +3921 1952 2n Cycle Widow 28457 0 0 28-10-2012 96 24 1 108 29 29 14 1 4 1 4 8 0 0 0 0 0 0 3 11 0 +3403 1958 PhD Together 78952 0 1 24-09-2012 11 1170 19 594 99 76 134 2 2 5 12 6 0 0 0 0 0 0 3 11 0 +22 1976 Graduation Divorced 46310 1 0 03-12-2012 99 185 2 88 15 5 14 2 6 1 5 8 0 0 0 0 0 0 3 11 0 +10965 1955 Graduation Together 76005 0 0 22-02-2013 72 983 20 389 240 50 40 1 3 5 13 6 0 0 0 1 0 0 3 11 0 +9426 1964 Master Single 58308 0 1 12-01-2013 77 691 0 69 10 0 130 4 2 6 3 8 0 0 0 0 0 0 3 11 0 +6605 1944 PhD Divorced 55614 0 0 27-11-2013 85 504 13 131 8 0 26 1 9 4 6 7 0 1 0 0 0 0 3 11 0 +3136 1962 Master Divorced 59432 0 1 13-04-2013 88 317 25 265 25 19 12 3 5 3 11 5 0 0 0 0 0 0 3 11 0 +8737 1978 Graduation Divorced 55563 0 1 05-04-2014 22 29 1 9 2 0 2 1 2 0 3 3 0 0 0 0 0 0 3 11 0 +11088 1971 PhD Together 78642 0 1 21-04-2013 83 1396 0 322 46 35 17 1 4 9 4 6 0 0 0 0 0 0 3 11 0 +716 1949 PhD Together 67911 0 1 22-05-2014 63 529 0 356 63 28 0 3 6 7 11 3 0 0 0 0 0 0 3 11 0 +466 1944 Graduation Married 65275 0 0 03-04-2013 9 388 14 218 91 14 21 1 4 3 13 2 0 0 0 0 0 0 3 11 0 +9135 1950 Graduation Together 27203 1 1 06-08-2012 92 13 2 21 4 0 24 2 1 1 2 8 0 0 0 0 0 0 3 11 0 +10623 1961 Master Together 48330 0 1 15-11-2013 2 28 0 4 0 0 0 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +8151 1990 Basic Married 24279 0 0 29-12-2012 6 16 36 21 20 62 108 1 4 1 3 8 0 0 0 0 0 0 3 11 0 +5140 1985 PhD Married 64355 1 0 24-08-2012 66 1047 0 140 67 38 153 2 4 3 12 8 0 0 0 0 0 0 3 11 0 +10160 1956 Master Together 50943 0 1 21-06-2013 49 31 0 7 2 0 6 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +4945 1953 Graduation Widow 53653 0 0 07-11-2012 29 815 10 239 28 10 108 2 10 4 12 6 0 0 0 0 0 0 3 11 0 +10584 1976 Graduation Married 65665 0 1 02-12-2013 77 225 162 387 106 36 29 1 5 10 8 3 0 0 0 0 0 0 3 11 0 +6071 1989 Graduation Single 81217 0 0 19-07-2013 77 493 70 324 146 40 84 1 3 7 11 1 0 0 0 0 0 0 3 11 0 +3386 1992 Graduation Married 34935 0 0 21-06-2013 71 34 4 66 3 10 20 1 2 1 4 7 0 0 0 0 0 0 3 11 0 +8939 1959 Graduation Divorced 61250 0 1 16-12-2012 49 382 138 65 60 26 59 6 5 2 12 5 0 0 0 0 0 0 3 11 0 +9925 1981 PhD Together 39665 1 0 25-05-2013 97 127 1 56 0 1 31 3 4 2 3 7 1 0 0 0 0 0 3 11 0 +4320 1979 Graduation Single 60152 0 1 28-03-2013 6 325 83 300 86 58 91 1 6 4 12 3 0 0 0 0 0 0 3 11 0 +5389 1964 Graduation Married 48920 0 2 20-10-2013 93 238 17 68 8 10 6 3 6 2 5 7 0 1 0 0 0 0 3 11 0 +6036 1959 Master Together 89120 0 0 17-03-2014 78 1168 92 408 72 129 55 1 5 6 7 1 0 0 1 0 0 0 3 11 0 +182 1946 PhD Together 44124 0 1 11-05-2013 62 284 0 55 0 6 52 4 6 2 5 8 0 0 0 0 0 0 3 11 0 +203 1975 Master Single 81169 0 0 14-04-2013 47 1288 20 613 80 61 27 1 5 7 9 2 0 0 0 0 0 0 3 11 0 +11025 1961 Graduation Married 36443 1 1 03-02-2013 9 65 0 46 4 3 20 4 3 1 3 8 0 0 0 0 0 0 3 11 0 +10203 1990 Graduation Single 26095 1 0 30-06-2013 77 11 7 9 3 1 11 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +4607 1959 Graduation Together 71367 0 0 23-08-2013 24 227 23 389 42 21 75 1 4 5 7 2 0 0 0 0 0 0 3 11 0 +3711 1944 Master Married 80184 0 0 01-03-2014 19 1035 134 670 25 38 0 1 6 3 10 3 0 0 1 1 0 0 3 11 0 +3696 1965 Graduation Divorced 30630 1 1 27-01-2014 67 27 1 12 2 0 10 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +2532 1987 Master Single 73454 0 0 01-03-2014 95 982 73 351 56 14 175 1 2 4 6 5 1 0 0 0 0 0 3 11 0 +9214 1991 Graduation Married 42691 0 0 16-08-2013 48 179 2 64 38 17 58 1 5 1 6 5 0 0 0 0 0 0 3 11 0 +4943 1953 Graduation Married 70503 0 0 30-09-2012 73 1379 33 216 0 33 66 1 2 4 9 6 0 1 1 0 0 0 3 11 0 +35 1987 Graduation Married 25545 1 0 08-09-2012 35 32 1 64 16 12 85 3 2 2 3 6 0 0 0 0 0 0 3 11 1 +2258 1986 Graduation Married 32880 1 0 04-12-2012 76 8 4 15 7 6 2 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +4322 1958 PhD Together 77863 0 0 27-11-2013 20 881 38 319 16 25 12 1 4 5 10 2 0 0 0 0 0 0 3 11 0 +713 1977 Master Married 50353 0 0 08-06-2014 72 141 15 153 67 31 35 1 4 4 6 3 0 0 0 0 0 0 3 11 0 +4702 1964 Graduation Single 61839 0 0 12-08-2012 20 1000 155 379 224 17 120 1 4 8 4 8 0 0 0 0 0 0 3 11 0 +3281 1960 PhD Married 49154 1 1 03-11-2013 69 206 10 67 30 27 71 6 4 1 8 6 0 0 0 0 0 0 3 11 0 +702 1975 2n Cycle Widow 47682 0 1 15-02-2013 80 162 61 83 97 57 61 4 4 3 8 5 0 0 0 0 0 0 3 11 0 +2004 1969 Graduation Single 72679 0 1 18-09-2013 65 619 54 260 127 54 54 1 4 7 5 1 0 0 0 0 0 0 3 11 0 +4769 1977 Master Together 57954 1 1 18-06-2014 52 456 4 24 0 0 9 7 8 2 6 7 0 1 0 0 0 0 3 11 0 +4437 1962 Graduation Married 65316 1 1 24-04-2013 65 112 6 92 3 9 38 2 3 2 5 4 0 0 0 0 0 0 3 11 0 +8724 1982 Graduation Single 28567 1 0 17-06-2013 57 11 3 22 2 2 6 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +10741 1951 Master Together 47352 0 1 11-04-2013 70 172 12 112 8 0 15 4 6 1 5 7 0 0 0 0 0 0 3 11 0 +1991 1967 Graduation Together 44931 0 1 18-01-2014 0 78 0 11 0 0 7 1 2 1 3 5 0 0 0 0 0 0 3 11 0 +6931 1967 Graduation Divorced 76982 0 0 15-02-2014 19 464 151 292 65 60 30 1 8 3 4 4 0 0 1 0 0 0 3 11 1 +11096 1952 2n Cycle Together 57247 0 1 08-08-2013 50 99 4 32 37 54 6 2 2 1 7 2 0 0 0 0 0 0 3 11 0 +304 1981 Master Single 22944 1 0 23-12-2013 67 19 3 19 4 5 26 3 3 0 3 7 0 0 0 0 0 0 3 11 0 +3665 1977 2n Cycle Together 25315 1 0 07-11-2013 46 1 9 8 11 3 22 3 3 0 3 8 0 0 0 0 0 0 3 11 0 +10591 1969 Graduation Widow 43638 0 1 06-08-2012 37 63 10 83 7 19 19 2 4 1 4 7 0 0 0 0 0 0 3 11 0 +5036 1984 PhD Single 42710 1 0 28-11-2012 38 252 3 42 4 3 102 2 4 5 3 6 0 0 0 0 0 0 3 11 0 +5547 1982 PhD Married 84169 0 0 07-08-2013 9 1478 19 403 0 19 0 1 7 6 6 3 0 1 1 0 0 0 3 11 1 +7822 1976 Graduation Together 54058 0 1 04-06-2013 56 198 18 252 32 108 54 2 4 6 8 3 0 0 0 0 0 0 3 11 0 +8541 1990 2n Cycle Married 24683 1 0 08-03-2014 98 8 4 10 6 7 6 2 2 0 4 5 0 0 0 0 0 0 3 11 0 +10955 1964 Graduation Widow 85620 0 0 07-01-2014 68 416 46 925 60 107 46 1 3 6 4 1 0 0 0 0 0 0 3 11 1 +4368 1980 Graduation Married 47850 1 0 03-12-2013 72 42 7 43 20 12 10 1 3 0 4 6 0 0 0 0 0 0 3 11 0 +9671 1968 Graduation Married 19514 1 1 26-01-2014 47 14 3 21 2 1 28 4 3 1 2 8 1 0 0 0 0 0 3 11 1 +2256 1973 Master Married 27159 1 1 29-03-2014 33 17 0 3 0 0 1 2 1 0 3 6 0 0 0 0 0 0 3 11 0 +4279 1963 2n Cycle Single 39548 1 1 31-03-2014 87 15 4 10 3 4 18 2 1 1 3 3 0 0 0 0 0 0 3 11 0 +5371 1989 Graduation Single 21474 1 0 08-04-2014 0 6 16 24 11 0 34 2 3 1 2 7 1 0 0 0 0 0 3 11 1 +9240 1971 PhD Single 60504 0 1 07-02-2014 73 458 0 24 6 4 34 2 6 2 8 6 0 0 0 0 0 0 3 11 0 +9460 1963 Graduation Married 22419 0 0 18-04-2013 74 30 3 47 19 21 42 1 3 2 2 8 0 0 0 0 0 0 3 11 0 +9504 1949 Master Married 81698 0 0 06-11-2013 4 179 28 520 111 123 47 1 3 8 13 1 0 0 0 0 0 0 3 11 1 +8692 1952 Graduation Together 43462 1 1 12-09-2012 50 90 17 97 15 6 15 6 4 1 5 8 0 0 0 0 0 0 3 11 0 +448 1978 PhD Single 54880 1 0 01-03-2013 57 308 85 137 102 45 118 2 6 2 11 5 0 0 0 0 0 0 3 11 0 +8314 1982 Graduation Married 79908 0 0 05-04-2013 30 557 129 761 29 185 111 1 5 6 7 2 0 0 1 0 0 0 3 11 0 +8420 1970 2n Cycle Married 15315 0 0 03-08-2013 27 7 4 13 15 8 17 2 2 0 4 5 0 0 0 0 0 0 3 11 0 +3174 1959 Graduation Together 87771 0 1 22-05-2013 61 1492 38 287 50 57 33 1 5 10 4 6 0 1 1 1 1 0 3 11 1 +7685 1978 Graduation Married 33039 1 0 09-09-2013 4 30 8 12 8 8 12 1 2 0 4 5 0 0 0 0 0 0 3 11 0 +3179 1980 Graduation Single 81741 0 0 16-06-2013 75 249 153 940 58 134 38 0 6 6 7 2 0 0 0 0 0 0 3 11 0 +9780 1971 Master Together 71499 0 1 25-06-2013 12 465 25 132 136 0 37 2 8 3 13 4 0 0 0 0 0 0 3 11 0 +10681 1970 2n Cycle Married 62466 0 1 15-01-2014 13 129 129 259 168 121 83 5 6 3 12 4 0 0 0 0 0 0 3 11 0 +10232 1963 PhD Divorced 48799 0 1 05-11-2013 9 174 18 81 28 6 24 3 3 2 7 3 0 0 0 0 0 0 3 11 0 +4184 1950 PhD Together 52157 0 1 07-06-2014 48 189 2 29 3 2 40 2 3 2 5 4 0 0 0 0 0 0 3 11 0 +9120 1962 Graduation Single 66565 0 1 05-12-2012 80 747 10 161 65 40 42 4 4 2 9 8 0 0 0 0 0 0 3 11 0 +891 1951 Master Together 29298 1 1 07-09-2013 60 6 0 2 2 0 1 1 1 0 2 5 0 0 0 0 0 0 3 11 0 +10381 1979 Graduation Single 47691 0 1 05-07-2013 43 14 0 3 0 0 4 1 1 0 2 6 0 0 0 0 0 0 3 11 0 +3525 1970 Graduation Together 38200 1 1 07-12-2012 19 12 0 4 0 0 1 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +6818 1974 Graduation Married 44989 0 1 12-09-2012 26 98 0 106 49 10 106 5 5 1 5 6 0 0 0 0 0 0 3 11 0 +3526 1968 PhD Married 38443 1 1 27-01-2014 58 32 0 5 0 0 1 2 1 0 3 7 0 0 0 0 0 0 3 11 0 +8181 1978 2n Cycle Single 38593 1 0 13-09-2013 42 51 12 49 17 24 24 3 4 1 3 8 0 0 0 0 0 0 3 11 0 +1029 1970 PhD Together 64413 0 1 01-08-2013 27 200 5 44 0 10 20 1 5 1 5 5 0 0 0 0 0 0 3 11 0 +7369 1981 Master Married 36959 1 0 02-10-2013 56 25 6 25 6 0 0 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +2574 1977 PhD Married 61996 0 1 31-01-2013 27 1050 12 144 0 0 24 3 6 4 8 5 0 1 0 1 1 0 3 11 1 +8159 1968 Graduation Married 51287 1 1 01-04-2014 10 117 0 22 13 0 30 3 4 1 3 7 0 0 0 0 0 0 3 11 0 +1160 1970 Graduation Married 13260 1 1 23-08-2013 48 9 4 17 10 2 7 4 3 0 3 8 0 0 0 0 0 0 3 11 0 +10242 1966 PhD Together 47472 1 1 16-09-2013 39 56 0 11 0 0 8 2 2 0 4 5 0 0 0 0 0 0 3 11 0 +5253 1956 Master Together 54603 1 1 09-07-2013 85 145 13 46 17 2 4 6 4 2 4 7 0 0 0 0 0 0 3 11 0 +5966 1974 PhD Married 45207 1 1 10-11-2012 64 203 0 10 0 0 2 5 3 1 6 6 0 1 0 0 0 0 3 11 0 +5314 1951 Graduation Together 40689 0 1 18-03-2013 69 270 3 27 39 6 99 7 7 1 5 8 0 0 0 0 0 0 3 11 0 +5081 1967 2n Cycle Together 47821 1 1 20-10-2013 54 9 0 16 6 6 10 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +5123 1951 Master Married 27450 0 0 15-04-2013 57 37 12 23 8 11 52 1 2 1 3 7 0 0 0 0 0 0 3 11 0 +5756 1983 Graduation Together 39453 1 0 03-04-2014 64 46 0 7 0 0 2 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +8036 1971 2n Cycle Together 26850 1 1 18-04-2014 10 31 1 13 7 2 9 4 2 1 4 4 0 0 0 0 0 0 3 11 0 +9058 1955 Graduation Widow 79800 0 0 23-09-2012 65 1060 21 530 32 0 224 1 5 11 5 3 1 0 1 1 0 0 3 11 1 +5057 1961 Master Married 61794 0 1 14-09-2013 74 264 47 188 54 47 11 2 4 4 10 2 0 0 0 0 0 0 3 11 0 +254 1955 Graduation Together 53863 0 1 17-05-2014 4 399 4 30 6 4 30 3 7 1 7 7 0 1 0 0 0 0 3 11 0 +4179 1959 Graduation Together 24221 0 0 20-08-2013 94 8 9 9 2 5 22 1 1 1 3 4 0 0 0 0 0 0 3 11 0 +3710 1984 PhD Single 39684 1 0 12-10-2012 41 19 0 35 6 4 17 2 2 1 2 7 0 0 0 0 0 1 3 11 1 +7627 1975 Master Married 92163 0 0 12-12-2012 25 817 183 797 106 163 20 0 5 11 5 2 0 0 1 1 0 0 3 11 1 +4501 1965 Master Single 69882 0 0 10-11-2013 94 292 127 635 132 127 165 1 3 7 9 1 0 0 0 0 0 0 3 11 0 +6424 1977 Graduation Together 33178 1 0 30-01-2014 9 12 6 2 11 2 16 1 1 0 3 4 0 0 0 0 0 0 3 11 0 +3075 1972 PhD Married 59973 0 0 11-09-2013 47 130 30 168 20 34 0 1 3 4 7 1 0 0 0 0 0 0 3 11 0 +4992 1975 Master Together 17459 1 0 19-09-2013 12 6 4 16 3 10 30 3 3 1 2 7 0 0 0 0 0 0 3 11 1 +5252 1969 Graduation Divorced 23910 1 0 26-10-2012 80 16 12 18 7 1 13 1 2 0 3 7 0 0 0 0 0 0 3 11 0 +7444 1969 Master Married 42169 1 1 19-10-2013 20 19 0 9 0 0 2 2 1 0 3 8 0 0 0 0 0 0 3 11 0 +6919 1978 2n Cycle Married 26224 1 0 04-06-2013 39 4 7 15 13 9 15 3 2 1 3 6 0 0 0 0 0 0 3 11 0 +3537 1981 Graduation Together 31089 1 0 17-08-2012 57 31 3 31 2 8 4 3 3 0 4 8 0 0 0 0 0 0 3 11 0 +10277 1961 Graduation Single 30081 0 1 21-02-2013 27 36 0 2 0 0 4 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +2453 1960 Graduation Together 62807 0 1 31-08-2012 83 526 28 135 10 21 99 3 5 3 12 5 0 0 0 0 0 0 3 11 0 +7972 1955 Graduation Single 72906 0 0 17-09-2013 79 400 32 519 71 75 54 1 3 4 9 1 0 0 0 0 0 0 3 11 0 +895 1948 PhD Married 61467 0 2 09-12-2012 69 410 16 114 0 5 49 3 5 2 10 5 0 0 0 0 0 0 3 11 0 +1177 1966 Master Together 49618 1 1 26-01-2013 77 80 3 26 4 2 14 4 3 1 3 7 0 0 0 0 0 0 3 11 0 +7141 1986 Master Single 21888 1 0 29-12-2012 15 88 10 46 2 3 64 4 5 1 2 10 0 0 0 0 0 0 3 11 1 +7232 1973 Graduation Widow 42429 0 1 11-02-2014 99 55 0 6 2 0 4 2 1 1 3 5 0 0 0 0 0 0 3 11 0 +8477 1956 Graduation Divorced 26150 2 1 11-03-2013 61 5 1 13 3 5 1 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +2457 1975 Basic Married 30801 0 1 26-10-2012 23 8 4 5 15 2 11 2 1 0 3 7 0 0 0 0 0 0 3 11 0 +988 1965 Graduation Married 81168 0 0 07-05-2014 84 410 0 592 147 22 22 1 6 4 7 3 0 0 0 1 0 0 3 11 0 +7930 1969 Master Single 26877 0 0 19-08-2013 74 101 13 76 20 18 40 2 3 1 6 6 0 0 0 0 0 0 3 11 0 +4587 1944 Master Widow 45006 0 0 18-07-2013 90 162 25 53 16 0 10 1 3 1 7 3 0 0 0 0 0 0 3 11 0 +6682 1973 Basic Married 18978 1 0 11-12-2012 41 2 8 1 4 7 15 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +6222 1967 Graduation Married 22574 2 1 28-10-2013 28 25 0 8 2 0 2 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +10299 1969 PhD Single 48240 0 0 09-11-2012 73 389 91 248 64 49 41 3 6 3 13 5 0 0 0 0 0 0 3 11 1 +3083 1974 Graduation Married 45837 1 1 26-07-2013 88 215 13 87 17 17 24 5 6 2 5 7 0 0 0 0 0 0 3 11 0 +8953 1965 Master Single 35791 2 1 06-05-2013 94 27 0 5 0 0 3 2 1 0 3 8 0 0 0 0 0 0 3 11 0 +1503 1976 PhD Together 162397 1 1 03-06-2013 31 85 1 16 2 1 2 0 0 0 1 1 0 0 0 0 0 0 3 11 0 +8650 1978 Graduation Widow 54162 1 1 18-03-2013 31 5 6 10 6 5 10 1 1 0 3 4 0 0 0 0 0 0 3 11 0 +10862 1960 Master Married 30522 0 1 17-08-2012 6 179 8 83 19 11 26 5 1 2 9 2 0 0 0 0 0 0 3 11 0 +2782 1961 PhD Married 54456 0 1 11-07-2013 23 352 0 27 10 0 15 3 6 1 7 6 0 0 0 0 0 0 3 11 0 +6941 1971 Graduation Single 31632 0 0 14-07-2013 92 17 8 12 11 15 32 1 2 1 2 7 0 0 0 0 0 0 3 11 0 +10972 1949 Graduation Widow 72298 0 0 10-03-2014 52 625 35 169 58 17 35 1 4 3 6 1 0 1 1 0 0 0 3 11 0 +10708 1978 2n Cycle Single 36975 1 0 28-12-2013 50 10 6 11 0 4 2 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +6583 1955 2n Cycle Married 72635 0 0 03-06-2013 54 390 22 323 104 35 107 1 6 8 6 3 0 0 0 1 0 0 3 11 0 +3641 1976 Graduation Married 13624 1 0 20-01-2013 93 10 2 15 2 1 6 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +10156 1975 Graduation Single 84196 0 1 03-06-2013 56 215 63 507 231 31 190 1 8 4 7 3 0 0 0 0 0 0 3 11 0 +4299 1960 Graduation Together 70971 0 1 21-09-2012 28 1001 17 572 93 125 17 7 11 11 5 7 0 0 0 0 0 0 3 11 1 +3469 1977 PhD Divorced 34487 1 1 06-09-2012 94 19 18 33 24 1 8 3 3 0 3 9 0 0 0 0 0 0 3 11 0 +5063 1977 Graduation Single 28769 1 0 18-12-2012 76 41 5 129 10 3 3 3 4 1 4 9 0 0 0 0 0 0 3 11 0 +10727 1970 PhD Married 69084 1 0 19-11-2013 43 1181 107 199 39 30 30 2 7 3 13 8 0 0 0 0 0 0 3 11 0 +9624 1958 PhD Together 65488 0 0 13-06-2014 46 603 45 207 36 18 54 1 3 4 6 1 0 0 0 0 0 0 3 11 0 +5156 1970 2n Cycle Married 62466 0 1 15-01-2014 13 129 129 259 168 121 83 5 6 3 12 4 0 0 0 0 0 0 3 11 0 +4376 1960 2n Cycle Single 32218 0 0 15-02-2014 27 10 24 15 13 1 30 1 2 1 3 7 1 0 0 0 0 0 3 11 1 +8923 1973 Graduation Single 83917 0 0 18-04-2013 12 514 22 732 42 198 79 1 6 7 7 3 0 0 0 0 0 0 3 11 1 +8461 1962 Graduation Divorced 46102 2 1 10-03-2014 3 14 0 1 0 0 1 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +6945 1952 Graduation Single 84574 0 0 04-06-2013 72 387 20 713 38 54 163 1 9 11 11 5 0 0 0 0 0 0 3 11 0 +944 1962 Graduation Married 56181 0 1 08-01-2013 6 121 103 69 8 44 48 1 4 2 7 4 0 0 0 0 0 0 3 11 0 +1907 1950 Master Divorced 63120 0 1 28-09-2012 53 965 69 279 54 41 69 5 8 4 9 7 0 0 0 0 0 0 3 11 1 +701 1971 Graduation Married 73691 0 1 06-11-2013 58 707 21 250 85 43 73 2 6 2 8 2 1 0 0 0 0 0 3 11 0 +3856 1960 Graduation Together 63381 0 1 05-10-2012 78 571 50 142 33 50 159 4 4 5 13 2 0 0 0 0 0 0 3 11 0 +4149 1948 PhD Together 76140 0 0 13-05-2014 57 586 66 653 17 0 26 1 5 9 6 2 0 0 0 0 0 0 3 11 0 +2131 1959 PhD Divorced 62859 0 1 30-12-2012 37 1063 89 102 16 12 25 4 9 4 6 6 0 0 0 0 0 0 3 11 0 +2942 1964 Graduation Single 45906 0 1 07-05-2013 20 305 3 27 4 3 144 2 5 4 4 5 1 0 0 0 0 0 3 11 0 +1173 1947 Master Together 77632 0 0 10-03-2013 73 1200 105 758 0 42 147 1 4 2 6 2 0 1 1 0 0 0 3 11 1 +4381 1971 PhD Married 46463 1 1 18-08-2013 56 163 2 40 8 11 11 7 3 1 6 6 0 0 0 0 0 0 3 11 0 +4611 1970 Graduation Together 105471 0 0 21-01-2013 36 1009 181 104 202 21 207 0 9 8 13 3 0 0 1 1 0 0 3 11 1 +3376 1970 Master Divorced 55282 1 0 13-12-2013 9 125 6 73 8 4 19 1 3 1 6 4 0 0 0 0 0 0 3 11 0 +4679 1977 Master Married 78710 0 1 23-05-2014 42 721 0 152 119 50 50 3 7 6 12 4 0 0 0 0 0 0 3 11 0 +10928 1958 Graduation Together 66886 0 1 16-09-2013 28 315 4 62 41 31 146 2 7 1 7 5 0 0 0 0 0 0 3 11 0 +4248 1960 Master Single 98777 0 0 17-02-2014 23 1000 19 711 125 115 38 0 4 6 9 1 0 1 0 0 0 0 3 11 0 +6728 1985 Graduation Together 29103 1 0 27-08-2012 38 16 0 17 6 3 6 2 1 0 3 9 0 0 0 0 0 0 3 11 0 +6661 1974 Graduation Married 67445 0 1 12-08-2012 63 757 80 217 29 80 11 5 9 6 12 6 0 0 0 0 0 0 3 11 0 +4725 1950 PhD Together 50616 0 1 13-04-2014 71 30 2 25 0 1 9 1 1 1 4 2 0 0 0 0 0 0 3 11 0 +3277 1955 Graduation Divorced 49431 0 1 03-08-2012 9 219 3 100 26 0 17 2 7 1 5 8 0 0 0 0 0 0 3 11 0 +5555 1975 Graduation Divorced 153924 0 0 07-02-2014 81 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 3 11 0 +2564 1953 Graduation Together 61278 0 1 04-01-2014 87 111 3 28 2 6 15 2 3 1 4 6 0 0 0 0 0 0 3 11 0 +946 1958 2n Cycle Together 26490 0 0 22-09-2012 92 45 47 52 21 20 25 2 3 1 5 6 0 0 0 0 0 0 3 11 0 +3867 1947 PhD Together 73059 0 1 31-08-2013 36 410 112 420 0 82 71 1 9 3 13 4 0 0 0 0 0 0 3 11 0 +6940 1966 PhD Single 46734 1 2 21-10-2013 86 100 1 39 6 1 76 4 3 2 3 6 1 0 0 0 0 0 3 11 0 +55 1963 Graduation Together 56253 0 1 07-12-2012 83 509 0 65 7 11 5 4 7 2 9 6 0 0 0 0 0 0 3 11 0 +7093 1985 Graduation Married 19986 1 0 14-11-2013 74 3 6 5 0 2 6 1 0 0 3 7 0 0 0 0 0 0 3 11 0 +5084 1975 Graduation Widow 58330 0 1 25-12-2013 87 445 53 213 104 98 151 1 6 4 13 4 0 0 0 0 0 0 3 11 0 +1777 1980 Basic Married 25965 0 0 07-09-2012 29 2 2 11 41 7 11 1 2 0 3 8 0 0 0 0 0 0 3 11 0 +8162 1956 Master Together 14661 0 0 01-01-2013 88 4 1 11 6 2 2 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +10826 1959 Graduation Married 18690 0 0 28-12-2012 77 6 1 7 23 4 19 1 1 1 2 8 0 0 0 0 0 0 3 11 0 +8754 1974 PhD Together 45068 0 1 16-05-2013 25 14 0 3 0 0 3 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +1987 1987 Basic Single 21063 1 0 25-09-2013 34 1 10 11 19 3 15 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +11007 1968 PhD Married 29187 1 0 09-05-2013 43 26 0 6 0 0 2 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +7426 1971 2n Cycle Married 54690 1 1 07-11-2013 76 111 16 37 7 9 18 3 3 1 5 3 0 0 0 0 0 0 3 11 0 +9153 1964 PhD Married 59304 0 1 29-07-2013 81 418 61 428 80 51 10 3 7 8 10 5 0 0 0 0 0 0 3 11 0 +10379 1962 Master Single 59247 0 2 08-11-2013 87 327 9 122 19 14 83 5 5 2 9 6 0 0 0 0 0 0 3 11 0 +9204 1970 Graduation Widow 66731 0 1 12-09-2012 33 371 159 194 58 106 141 4 4 3 6 3 0 0 0 0 0 0 3 11 0 +3197 1980 Graduation Married 77353 0 1 16-12-2013 38 275 59 107 69 101 59 2 6 4 8 4 0 0 0 0 0 0 3 11 0 +2920 1975 PhD Single 52614 0 1 01-12-2012 63 789 0 142 12 9 38 2 2 4 8 8 0 0 0 0 0 0 3 11 0 +6961 1974 Graduation Married 26751 2 0 22-05-2014 26 1 1 5 0 3 1 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +4673 1963 PhD Married 81300 0 1 30-10-2012 17 1004 12 145 32 12 36 3 10 3 5 5 0 0 0 1 0 0 3 11 1 +9937 1979 Graduation Single 70337 0 0 02-01-2014 75 187 81 149 25 43 91 1 2 2 12 1 0 0 0 0 0 0 3 11 0 +8779 1985 2n Cycle Married 36145 1 0 16-06-2013 13 56 4 76 17 1 18 4 4 1 3 9 1 0 0 0 0 0 3 11 1 +9596 1980 PhD Single 65295 0 0 23-12-2013 19 365 32 117 34 110 6 1 3 3 13 2 0 0 0 0 0 0 3 11 0 +2891 1963 Graduation Divorced 68118 0 1 18-10-2013 51 595 23 123 10 23 154 2 8 9 4 6 0 0 0 0 0 0 3 11 0 +4910 1967 Graduation Divorced 68743 0 0 30-08-2012 81 1132 134 384 175 134 115 1 11 5 13 7 0 0 0 0 0 0 3 11 0 +75 1982 2n Cycle Together 41039 0 0 25-07-2013 32 34 11 137 179 61 45 1 8 1 5 8 0 0 0 0 0 0 3 11 0 +10120 1955 Graduation Together 38946 0 1 24-10-2013 84 116 6 82 6 6 41 2 3 1 6 5 0 0 0 0 0 0 3 11 0 +6327 1967 Graduation Together 65777 0 0 19-12-2013 87 565 32 435 28 32 54 1 2 8 6 1 0 0 0 0 0 0 3 11 0 +10142 1976 PhD Divorced 66476 0 1 07-03-2013 99 372 18 126 47 48 78 2 5 2 11 4 0 0 0 0 0 0 3 11 0 +9826 1972 PhD Single 86857 0 0 12-09-2012 96 899 102 838 133 102 40 1 5 6 10 2 0 0 0 0 0 0 3 11 1 +1501 1982 PhD Married 160803 0 0 04-08-2012 21 55 16 1622 17 3 4 15 0 28 1 0 0 0 0 0 0 0 3 11 0 +10767 1989 PhD Together 77845 0 0 16-05-2014 40 760 40 480 0 40 26 1 3 5 12 1 0 0 1 1 0 0 3 11 0 +7279 1969 PhD Together 69476 0 0 30-09-2013 3 260 86 559 63 9 67 1 4 6 4 2 0 0 0 0 0 0 3 11 0 +7230 1960 PhD Divorced 50611 0 1 04-10-2012 98 459 0 24 6 0 4 6 4 5 7 6 0 1 0 0 0 0 3 11 1 +143 1970 Graduation Single 61209 0 0 25-08-2013 73 466 0 224 119 49 99 1 5 3 4 2 0 0 0 0 0 0 3 11 0 +450 1958 Master Together 42315 0 1 12-07-2013 90 67 15 80 17 11 80 3 1 4 4 3 0 0 0 0 0 0 3 11 0 +9316 1952 Basic Together 13084 0 0 02-11-2013 29 2 0 7 3 7 10 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +6379 1949 Master Widow 47570 1 1 29-05-2013 3 67 1 20 0 2 31 3 2 2 2 7 0 0 0 0 0 0 3 11 1 +9239 1961 Master Married 61923 0 2 26-07-2013 94 92 4 18 3 3 6 1 2 1 4 3 0 0 0 0 0 0 3 11 0 +8315 1995 Graduation Single 34824 0 0 26-03-2014 65 4 2 11 2 0 4 1 1 0 2 6 0 0 0 0 0 0 3 11 0 +2868 1949 PhD Single 26518 1 1 08-04-2013 33 20 1 28 3 3 2 3 2 0 3 8 0 0 0 0 0 0 3 11 1 +10888 1961 Graduation Single 45938 0 0 03-11-2013 46 273 11 178 62 83 29 2 8 4 6 6 0 0 0 0 0 0 3 11 0 +1277 1960 Graduation Together 78468 0 0 09-04-2014 29 434 22 388 104 22 34 1 10 7 10 4 0 0 0 1 0 0 3 11 0 +9977 1973 Graduation Divorced 78901 0 1 17-09-2013 99 321 11 309 33 26 34 3 9 3 5 4 0 0 0 0 0 0 3 11 0 +10196 1978 Graduation Married 71427 2 0 12-03-2014 26 212 123 177 15 64 23 2 8 2 8 4 0 0 0 0 0 0 3 11 0 +6384 1978 Graduation Divorced 71022 0 1 11-02-2014 30 909 12 278 0 12 242 3 5 2 11 8 1 0 0 0 0 0 3 11 0 +8029 1988 Master Single 90247 0 0 29-04-2014 27 1184 32 352 21 16 16 1 3 4 7 1 0 1 1 1 0 0 3 11 1 +968 1968 Master Divorced 41335 1 0 26-12-2013 24 112 19 21 16 14 5 3 4 1 4 7 0 0 0 0 0 0 3 11 0 +6988 1986 Graduation Married 71952 1 0 10-01-2013 93 656 80 455 52 107 93 2 8 4 8 4 1 0 1 0 0 0 3 11 0 +4472 1970 PhD Divorced 35682 1 0 27-06-2014 34 23 0 8 6 2 18 1 1 1 3 2 0 0 0 0 0 0 3 11 0 +6991 1951 Graduation Divorced 43185 0 1 10-04-2013 88 537 6 42 16 6 30 2 9 3 6 8 0 0 0 0 0 0 3 11 0 +3336 1948 PhD Together 66375 0 1 21-11-2013 96 712 0 45 0 0 191 3 2 4 5 7 1 0 0 0 0 0 3 11 0 +4301 1971 Master Married 35178 1 0 10-01-2013 10 23 1 13 2 2 18 1 1 1 2 7 1 0 0 0 0 0 3 11 1 +1940 1986 Graduation Married 25252 1 0 12-07-2013 26 1 3 4 2 2 6 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +1272 1965 Master Single 55250 0 1 21-10-2012 49 664 58 83 32 0 66 4 7 5 10 5 0 0 0 0 0 0 3 11 0 +1388 1975 Graduation Single 33249 1 0 20-02-2013 11 6 10 21 19 14 42 2 2 1 3 6 0 0 0 0 0 0 3 11 0 +1044 1953 Graduation Together 58398 0 0 14-05-2013 44 299 5 201 21 21 49 3 5 4 8 4 0 0 0 0 0 0 3 11 0 +6969 1982 Graduation Together 50272 1 0 07-08-2013 75 99 13 66 43 8 4 3 4 1 5 7 0 0 0 0 0 0 3 11 0 +10479 1975 PhD Married 76618 0 0 07-12-2012 64 749 40 294 121 160 147 1 3 2 5 1 0 0 0 0 0 0 3 11 0 +3619 1960 2n Cycle Divorced 87305 0 0 23-09-2012 19 345 25 501 63 138 80 1 5 3 8 2 0 0 1 0 0 0 3 11 1 +1715 1978 Graduation Together 25851 1 0 11-02-2013 45 9 4 18 7 5 5 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +10159 1970 Graduation Divorced 58710 0 1 31-03-2013 77 440 81 368 0 122 174 6 11 5 9 6 0 0 0 0 0 0 3 11 0 +1463 1958 Graduation Single 45160 1 1 29-03-2014 9 8 2 5 3 0 3 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +5114 1965 Master Married 74806 0 1 19-12-2012 1 670 9 249 0 28 9 2 5 4 5 4 0 0 0 0 0 0 3 11 0 +4990 1954 Graduation Married 59111 0 0 02-05-2013 90 524 0 134 28 28 155 1 11 1 8 7 0 0 0 0 0 0 3 11 0 +4329 1984 PhD Married 18988 1 0 23-05-2014 43 6 0 6 2 1 1 2 1 0 3 7 0 0 0 0 0 0 3 11 0 +10936 1965 Graduation Married 72190 0 0 13-02-2013 79 597 166 597 172 166 249 1 5 6 4 3 0 0 0 0 0 0 3 11 0 +4692 1976 Graduation Married 7500 1 0 01-08-2012 19 7 0 12 13 7 32 5 4 1 2 9 1 0 0 0 0 0 3 11 1 +7212 1966 Graduation Married 44794 0 1 08-06-2014 99 54 0 7 0 0 4 1 2 0 3 6 0 0 0 0 0 0 3 11 0 +6086 1955 Graduation Married 80395 0 0 23-11-2013 62 445 25 706 80 76 48 1 6 5 12 2 0 0 0 1 0 0 3 11 0 +437 1976 Master Divorced 75012 0 0 25-01-2014 41 294 142 218 164 58 151 1 3 8 11 1 0 0 0 0 0 0 3 11 0 +11171 1965 Master Married 56962 2 1 11-10-2013 60 292 3 77 10 3 26 7 6 3 5 7 0 0 0 0 0 0 3 11 0 +11101 1991 Graduation Together 89891 0 0 15-04-2013 17 412 22 132 59 28 183 1 11 6 8 4 0 0 1 0 0 0 3 11 0 +5329 1949 PhD Divorced 35946 1 1 27-09-2013 24 8 0 3 0 0 0 1 0 0 3 5 0 0 0 0 0 0 3 11 0 +610 1953 PhD Together 53593 1 1 07-08-2012 60 349 4 78 6 0 43 8 7 2 6 8 0 0 0 0 0 0 3 11 0 +9384 1978 Graduation Married 66373 1 1 12-06-2013 57 328 9 124 12 24 109 7 4 2 10 3 0 0 0 0 0 0 3 11 0 +5956 1948 PhD Divorced 45072 1 2 16-10-2013 74 144 2 99 7 2 30 5 6 1 4 8 0 0 0 0 0 0 3 11 0 +10430 1973 Graduation Divorced 89694 1 1 09-10-2013 22 1126 28 211 37 28 42 3 4 3 4 5 0 1 1 1 0 0 3 11 0 +7875 1949 Graduation Married 72025 0 0 29-04-2014 46 967 0 617 43 50 0 1 4 8 13 2 0 1 1 1 0 0 3 11 1 +7072 1973 Graduation Married 67432 0 1 29-03-2013 69 432 79 341 177 136 170 2 8 5 4 4 0 0 0 0 0 0 3 11 0 +6255 1952 Master Together 70545 0 1 03-06-2014 29 138 39 63 55 18 21 1 4 1 7 2 0 0 0 0 0 0 3 11 0 +6516 1989 Basic Married 17487 1 0 18-03-2013 37 0 0 1 7 4 6 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +5564 1969 Graduation Together 62882 0 1 09-08-2012 26 509 133 497 78 24 97 2 7 5 6 4 0 0 0 0 0 0 3 11 0 +5682 1953 PhD Single 64108 0 1 23-03-2013 8 948 10 86 13 21 21 4 6 9 11 5 0 0 0 0 0 0 3 11 0 +7458 1956 Master Together 34941 1 1 06-03-2013 26 39 2 25 4 3 24 2 3 0 3 8 0 0 0 0 0 0 3 11 0 +5237 1950 PhD Single 48767 1 2 01-01-2014 79 28 1 21 3 0 10 3 2 1 3 5 0 0 0 0 0 0 3 11 0 +7761 1978 2n Cycle Together 38702 1 0 01-08-2013 71 13 11 24 13 8 40 2 3 0 4 6 0 0 0 0 0 0 3 11 0 +5278 1964 Graduation Married 82224 0 0 25-01-2014 83 307 26 360 138 31 40 1 6 9 5 3 0 0 0 1 0 0 3 11 0 +3560 1952 Graduation Together 83844 0 0 12-05-2013 57 901 31 345 75 31 191 1 4 4 11 1 0 0 1 0 0 0 3 11 0 +7235 1975 2n Cycle Married 17003 1 0 09-12-2013 37 2 5 12 4 8 7 3 2 0 4 5 0 0 0 0 0 0 3 11 0 +10548 1995 Graduation Single 71163 0 0 09-03-2014 30 283 17 372 138 106 44 1 3 8 12 1 0 0 0 0 0 0 3 11 0 +2281 1970 Graduation Single 33697 1 0 15-09-2013 34 4 3 7 0 3 11 1 1 0 2 7 1 0 0 0 0 0 3 11 0 +4073 1954 2n Cycle Married 63564 0 0 29-01-2014 0 769 80 252 15 34 65 1 10 10 7 6 1 0 0 0 0 0 3 11 1 +6974 1972 PhD Together 83443 0 0 31-12-2013 89 518 42 742 55 56 84 1 6 10 5 2 0 0 0 0 0 0 3 11 0 +7938 1958 PhD Together 51518 0 1 03-10-2013 92 350 8 66 17 4 4 2 3 2 10 3 0 0 0 0 0 0 3 11 0 +7094 1975 Graduation Widow 58330 0 1 25-12-2013 87 445 53 213 104 98 151 1 6 4 13 4 0 0 0 0 0 0 3 11 0 +3667 1969 Graduation Married 80952 0 0 28-02-2013 20 778 178 689 41 27 44 1 8 5 11 8 0 1 1 1 0 0 3 11 1 +7723 1979 Graduation Together 75507 0 0 02-05-2014 56 709 93 374 104 80 80 1 8 6 6 3 0 0 0 0 0 0 3 11 0 +3870 1978 2n Cycle Together 63855 0 0 09-02-2013 28 359 35 314 93 116 89 1 7 3 13 4 0 0 0 0 0 0 3 11 0 +4012 1972 PhD Together 62220 0 1 11-08-2012 55 799 12 375 16 12 12 5 7 6 5 6 0 0 0 0 0 0 3 11 1 +5909 1964 Graduation Married 58512 0 1 19-09-2013 25 895 10 101 13 0 152 5 3 4 8 8 0 0 0 0 0 0 3 11 0 +10470 1979 Master Married 40662 1 0 15-03-2013 0 40 2 23 0 4 23 2 2 1 3 4 0 0 0 0 0 0 3 11 0 +6488 1959 PhD Married 38829 0 1 06-04-2014 86 76 0 7 0 0 16 1 3 2 2 5 0 0 0 0 0 0 3 11 0 +10270 1981 2n Cycle Married 35523 1 0 03-10-2013 8 11 5 22 12 5 11 2 3 0 3 7 0 0 0 0 0 0 3 11 0 +6887 1967 Graduation Single 79146 1 1 24-04-2014 33 245 16 223 21 43 16 2 8 1 8 6 0 0 0 0 0 0 3 11 0 +6406 1988 Master Married 78285 0 0 28-10-2013 13 647 107 391 175 67 40 1 6 4 10 3 0 0 0 0 0 0 3 11 0 +7573 1978 PhD Single 31626 1 0 10-05-2013 12 39 1 9 2 1 34 1 2 1 2 7 1 0 0 0 0 0 3 11 1 +4508 1952 Graduation Single 75127 0 0 22-05-2014 92 203 35 305 46 17 227 1 2 11 5 1 0 0 0 0 0 0 3 11 0 +221 1955 Graduation Married 48726 0 1 27-04-2013 90 138 3 38 4 0 59 3 3 2 4 6 0 0 0 0 0 0 3 11 0 +5331 1977 Graduation Married 74985 0 0 11-09-2012 8 587 51 898 247 0 86 1 3 6 7 2 0 0 0 0 0 0 3 11 0 +1911 1987 Graduation Together 67430 0 0 05-09-2012 6 595 97 291 127 133 121 1 11 5 12 6 0 0 0 0 0 0 3 11 0 +20 1965 2n Cycle Married 46891 0 1 01-09-2013 91 43 12 23 29 15 61 1 2 1 4 4 0 0 0 0 0 0 3 11 0 +8786 1956 Master Married 62058 0 1 26-05-2013 52 301 7 74 10 0 58 4 6 1 7 6 0 0 0 0 0 0 3 11 0 +10582 1979 Graduation Married 72063 0 1 03-07-2013 3 180 32 348 76 32 90 2 5 2 12 2 0 0 0 0 0 0 3 11 0 +1915 1951 PhD Married 78939 0 0 12-12-2013 57 794 115 243 150 0 205 1 8 5 6 3 0 0 0 0 0 0 3 11 0 +8897 1965 Graduation Single 42720 1 1 24-04-2013 9 392 5 91 28 26 112 8 7 3 7 8 0 0 0 0 0 0 3 11 1 +2371 1972 Graduation Married 33622 1 1 13-04-2013 22 39 1 22 3 4 12 3 2 0 4 7 0 0 0 0 0 0 3 11 0 +4303 1957 PhD Together 6835 0 1 08-12-2012 76 107 2 12 2 2 12 0 0 0 1 20 0 0 0 0 0 0 3 11 0 +6825 1953 Graduation Together 41452 1 1 06-03-2013 86 13 0 3 0 0 0 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +1072 1965 PhD Single 40760 0 1 30-08-2013 64 70 0 17 0 0 6 2 2 1 3 6 0 0 0 0 0 0 3 11 0 +4964 1958 PhD Together 74250 0 0 26-01-2014 90 680 11 392 75 0 0 1 2 11 4 1 0 0 0 0 0 0 3 11 0 +2461 1955 Master Single 51124 1 1 18-12-2013 79 26 1 11 0 1 4 2 1 0 3 3 0 0 0 0 0 0 3 11 0 +10736 1971 Graduation Single 72258 0 1 12-09-2013 28 522 0 522 227 120 134 2 6 9 5 2 0 0 0 0 0 0 3 11 0 +3194 1974 PhD Single 71466 0 0 05-04-2014 86 412 12 546 78 182 0 1 4 4 10 1 0 0 0 0 0 0 3 11 0 +10839 1976 Graduation Together 36283 1 1 14-04-2014 42 6 5 5 8 0 5 2 1 0 3 4 0 0 0 0 0 0 3 11 0 +49 1970 Graduation Single 20587 1 0 11-05-2014 39 2 3 6 4 1 9 1 1 1 2 7 0 0 0 0 0 0 3 11 0 +4290 1972 Graduation Married 30467 1 0 19-03-2014 8 1 3 8 2 5 5 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +10219 1972 Graduation Together 31590 1 0 18-06-2013 40 6 2 15 6 6 3 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +4211 1986 Basic Married 20425 1 0 29-10-2012 5 4 12 5 3 16 17 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +1135 1960 Master Together 17144 1 1 15-02-2014 96 18 2 19 0 2 6 5 3 0 4 7 0 0 0 0 0 0 3 11 0 +6299 1968 PhD Divorced 42564 0 1 02-01-2013 28 324 48 186 39 18 198 6 6 8 4 7 1 0 0 0 0 0 3 11 1 +10846 1978 Master Married 43783 1 0 29-05-2014 22 327 9 125 25 4 139 6 7 1 8 7 1 0 0 0 0 0 3 11 0 +347 1976 Graduation Divorced 40780 0 1 08-09-2012 30 229 27 71 13 3 34 4 7 1 5 9 0 0 0 0 0 0 3 11 0 +6543 1945 Master Together 62847 0 0 15-01-2013 45 521 168 706 80 76 61 1 3 6 4 2 0 0 0 0 0 0 3 11 0 +10446 1957 PhD Married 82017 0 0 07-11-2012 58 184 23 446 30 23 23 1 5 4 7 2 0 1 1 1 0 0 3 11 1 +3479 1950 Graduation Single 16813 0 0 19-07-2013 49 4 8 11 12 2 13 1 2 0 3 7 1 0 0 0 0 0 3 11 0 +11075 1978 Graduation Married 51267 1 1 29-10-2013 37 183 2 64 7 2 12 4 3 3 5 4 0 0 0 0 0 0 3 11 0 +4442 1961 Graduation Single 46524 0 1 05-04-2013 70 31 19 35 26 14 52 2 1 1 5 3 0 0 0 0 0 0 3 11 0 +199 1962 Master Single 45183 0 0 20-01-2013 33 219 3 60 12 9 12 1 4 1 7 7 0 1 0 0 0 0 3 11 0 +6722 1954 PhD Married 70421 0 1 28-06-2014 98 479 28 136 75 14 35 3 10 3 7 6 0 0 0 0 0 0 3 11 0 +796 1965 2n Cycle Divorced 60161 0 1 23-10-2012 17 584 44 212 46 8 177 3 11 4 8 8 0 0 0 0 0 0 3 11 0 +3749 1973 Graduation Together 73926 0 0 02-03-2013 54 627 91 597 159 91 15 1 6 5 12 3 0 0 0 0 0 0 3 11 0 +8523 1968 Graduation Married 19329 1 0 14-12-2013 39 24 1 16 12 2 5 3 4 0 3 8 0 0 0 0 0 0 3 11 0 +310 1970 Master Married 61872 0 1 13-12-2013 81 330 5 159 36 27 16 4 4 4 9 4 0 0 0 0 0 0 3 11 0 +8629 1956 Graduation Widow 46984 1 1 26-03-2013 71 19 1 10 2 1 8 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +236 1951 Graduation Married 34838 1 1 19-01-2013 62 28 23 29 29 14 47 3 2 1 4 6 0 0 0 0 0 0 3 11 0 +9930 1944 PhD Single 82716 0 0 05-11-2013 8 606 148 228 15 148 22 1 6 8 13 2 0 0 0 0 0 0 3 11 0 +3483 1958 Graduation Married 48192 0 0 06-04-2013 76 1039 43 204 153 58 29 3 2 8 12 8 0 1 0 1 1 0 3 11 1 +4599 1976 Master Married 49681 0 2 04-11-2013 66 411 0 26 0 0 21 6 7 1 7 7 0 0 0 0 0 0 3 11 0 +7326 1971 Master Married 56850 0 1 23-03-2014 83 34 1 19 2 7 0 1 1 1 3 2 0 0 0 0 0 0 3 11 0 +7352 1957 Graduation Married 55267 0 1 21-10-2013 28 161 28 136 32 3 45 4 3 4 6 3 0 0 0 0 0 0 3 11 0 +2350 1972 Graduation Married 59666 1 1 22-03-2013 87 623 53 178 23 17 133 7 3 2 8 8 0 1 0 0 0 0 3 11 0 +9145 1972 Graduation Single 72504 0 1 06-04-2013 43 604 26 470 123 161 94 2 5 9 6 2 0 0 0 0 0 0 3 11 0 +2964 1981 Graduation Married 26872 0 0 16-10-2013 0 3 10 8 3 16 32 1 1 1 2 6 0 0 0 0 0 0 3 11 0 +5585 1972 Graduation Single 21359 1 0 20-04-2013 1 12 2 17 6 1 10 2 2 0 3 8 0 0 0 0 0 0 3 11 1 +9687 1975 Graduation Single 73170 0 0 31-05-2014 1 184 174 256 50 30 32 1 5 4 6 2 0 0 0 0 0 0 3 11 0 +3732 1955 Master Married 52750 0 1 04-02-2013 72 393 0 239 90 69 69 6 5 7 9 4 0 0 0 0 0 0 3 11 0 +6303 1986 PhD Together 91820 0 0 23-11-2013 72 410 73 747 76 161 30 0 5 5 12 1 0 0 0 0 0 0 3 11 0 +11176 1970 PhD Together 65968 0 1 12-05-2014 12 376 9 83 19 4 4 2 5 4 7 3 0 0 0 0 0 0 3 11 0 +2986 1976 Graduation Married 30772 1 1 12-03-2014 89 7 2 4 2 1 4 1 1 0 2 6 0 0 0 0 0 0 3 11 0 +7462 1954 Graduation Single 22507 0 0 24-11-2012 67 68 0 226 51 157 68 3 10 2 4 9 0 0 0 0 0 0 3 11 0 +3900 1972 Graduation Married 65685 0 1 29-03-2014 54 642 14 49 0 7 57 1 9 2 9 5 0 0 0 0 0 0 3 11 0 +7034 1978 2n Cycle Married 25804 1 0 01-09-2013 34 8 7 9 13 6 12 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +9493 1980 PhD Single 76412 0 0 05-05-2013 15 840 53 804 23 71 17 1 5 4 8 3 0 0 1 1 0 0 3 11 1 +1143 1972 Graduation Married 22063 1 0 08-08-2013 43 7 10 13 3 11 11 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +1 1961 Graduation Single 57091 0 0 15-06-2014 0 464 5 64 7 0 37 1 7 3 7 5 0 0 0 0 1 0 3 11 1 +3855 1963 Graduation Married 22419 0 0 18-04-2013 74 30 3 47 19 21 42 1 3 2 2 8 0 0 0 0 0 0 3 11 0 +5536 1959 Graduation Together 87771 0 1 22-05-2013 61 1492 38 287 50 57 33 1 5 10 4 6 0 1 1 1 1 0 3 11 1 +5989 1959 2n Cycle Divorced 78353 0 1 16-04-2013 51 752 122 476 39 153 34 1 10 2 11 8 0 0 0 0 0 0 3 11 0 +9499 1954 Graduation Married 93404 1 2 07-05-2013 97 1279 15 287 20 0 15 3 3 4 7 5 0 1 1 0 0 0 3 11 0 +6768 1962 Graduation Divorced 37859 1 2 12-01-2013 75 22 1 8 2 1 2 2 1 0 3 8 0 0 0 0 0 0 3 11 0 +2150 1958 PhD Widow 80995 0 1 11-05-2013 83 860 28 409 73 56 56 1 8 9 4 4 0 0 0 0 0 0 3 11 0 +6646 1984 Graduation Together 16529 1 0 01-03-2014 23 3 0 5 13 0 1 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +4887 1976 PhD Divorced 55412 1 1 22-11-2013 65 10 5 28 11 1 8 1 2 0 3 5 0 0 0 0 0 0 3 11 0 +8560 1992 Graduation Single 48789 0 0 10-09-2012 94 351 16 156 7 5 145 1 6 4 7 6 0 0 0 0 0 0 3 11 0 +3321 1967 PhD Together 56575 0 2 05-05-2013 42 421 5 90 0 16 10 3 7 3 7 5 0 0 0 0 0 0 3 11 0 +11003 1980 2n Cycle Together 25130 1 0 02-10-2013 10 2 5 7 0 18 18 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +10402 1967 Graduation Married 35441 1 1 14-02-2013 94 25 1 9 2 1 1 2 1 0 3 8 0 0 0 0 0 0 3 11 0 +9904 1956 Graduation Married 71391 0 1 29-03-2013 50 336 123 274 46 123 141 5 6 5 12 3 0 0 0 0 0 0 3 11 0 +6141 1972 Master Single 49494 1 0 25-04-2013 46 191 9 97 0 6 82 2 6 1 5 7 0 0 0 0 0 0 3 11 0 +5687 1980 Graduation Divorced 81702 0 0 23-09-2012 98 563 50 774 28 31 187 1 7 7 12 3 0 0 0 0 0 0 3 11 0 +10856 1980 2n Cycle Single 45889 0 1 02-07-2013 42 31 0 6 0 1 8 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +5121 1977 Graduation Single 56628 0 1 21-03-2014 30 479 5 82 7 17 171 2 7 6 5 5 1 0 0 0 0 0 3 11 0 +4186 1950 Graduation Together 34026 1 1 05-08-2013 11 18 6 15 12 8 17 3 2 1 3 5 0 0 0 0 0 0 3 11 0 +368 1974 Graduation Married 40049 0 1 29-11-2012 61 91 65 52 10 44 28 3 3 2 6 5 0 0 0 0 0 0 3 11 0 +3312 1988 Graduation Single 34176 1 0 12-05-2014 12 5 7 24 19 14 20 4 3 0 4 6 0 0 0 0 0 0 3 11 0 +11121 1981 Graduation Married 19419 1 0 10-11-2012 76 2 14 28 16 3 7 4 4 0 3 9 0 0 0 0 0 0 3 11 0 +5332 1960 2n Cycle Married 82504 0 0 27-07-2013 2 362 50 431 134 35 54 1 3 6 7 1 0 0 0 0 0 0 3 11 0 +5848 1970 Graduation Together 81205 0 0 13-01-2014 43 724 74 929 97 55 130 1 5 6 7 2 1 0 1 0 1 0 3 11 1 +10343 1991 2n Cycle Single 61618 0 0 29-09-2012 27 605 91 399 0 45 205 2 3 6 8 3 0 0 0 0 0 0 3 11 0 +5935 1956 Master Single 55284 0 1 24-12-2012 60 547 7 140 0 7 63 3 7 5 8 5 0 0 0 0 0 0 3 11 0 +2895 1963 Graduation Single 49980 0 1 23-10-2013 79 104 1 54 13 9 14 2 3 1 5 5 0 0 0 0 0 0 3 11 0 +10262 1980 Graduation Married 15072 2 0 10-05-2013 96 8 2 15 0 10 18 4 3 1 3 5 0 0 0 0 0 0 3 11 0 +7848 1974 Graduation Single 49166 0 1 13-06-2013 17 224 2 25 7 0 110 2 5 3 3 6 0 0 0 0 0 0 3 11 0 +9477 1954 PhD Married 65324 0 1 11-01-2014 0 384 0 102 21 32 5 3 6 2 9 4 0 0 0 0 0 0 3 11 0 +4856 1957 2n Cycle Married 82347 0 0 06-11-2012 38 556 54 845 202 133 63 1 7 7 10 3 1 0 0 1 0 0 3 11 0 +7186 1966 PhD Together 30843 1 1 26-05-2014 43 24 0 2 0 0 9 2 1 1 2 5 1 0 0 0 0 0 3 11 0 +5794 1974 PhD Married 46374 0 1 17-03-2014 1 408 0 21 0 0 17 3 7 1 7 8 0 1 0 1 0 0 3 11 1 +1456 1979 Graduation Single 60474 0 1 01-04-2013 25 265 199 303 234 9 170 7 10 2 12 7 0 0 0 0 0 0 3 11 0 +4877 1973 Master Married 38576 0 1 04-03-2014 2 34 0 7 0 0 0 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +425 1985 Graduation Married 55357 2 0 19-02-2013 66 374 64 116 84 25 64 3 6 2 11 5 0 0 0 0 0 0 3 11 0 +3007 1966 Graduation Together 37758 1 1 04-10-2012 49 27 2 10 0 0 1 2 1 0 3 8 0 0 0 0 0 0 3 11 0 +1031 1989 2n Cycle Married 85710 0 0 05-05-2013 5 600 20 350 29 30 33 1 6 9 10 2 0 0 1 0 0 0 3 11 0 +4297 1969 Graduation Together 23228 1 0 26-01-2014 71 13 2 18 6 1 0 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +807 1969 Master Together 44602 1 1 15-02-2014 35 167 2 89 0 0 34 6 6 1 4 8 0 0 0 0 0 0 3 11 0 +9553 1987 Graduation Married 7500 0 0 09-01-2013 94 0 2 3 4 1 5 1 0 0 3 6 0 0 0 0 0 0 3 11 0 +4271 1989 2n Cycle Together 38683 1 0 04-10-2012 80 46 35 69 84 41 66 6 4 1 6 7 0 0 0 0 0 0 3 11 0 +4120 1975 2n Cycle Single 49514 1 0 17-12-2013 61 88 39 78 58 13 93 2 6 1 4 7 0 0 0 0 0 0 3 11 0 +2036 1973 PhD Together 57906 0 1 11-06-2013 29 243 11 119 10 3 15 3 4 2 8 4 0 0 0 0 0 0 3 11 0 +115 1966 Master Single 43456 0 1 26-03-2013 0 275 11 68 25 7 7 3 5 1 8 5 0 0 0 0 0 0 3 11 0 +4259 1986 Master Single 19485 2 0 24-09-2013 80 6 0 4 0 0 0 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +8687 1978 Graduation Together 53172 0 1 06-05-2013 54 121 62 90 68 20 125 3 2 3 8 3 0 0 0 0 0 0 3 11 0 +2447 1979 Graduation Together 30545 1 0 17-10-2012 71 4 12 15 19 7 12 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +10140 1983 PhD Together 70123 0 0 28-09-2013 27 1308 0 396 23 0 0 1 5 7 4 3 0 1 0 0 1 0 3 11 0 +9353 1959 Graduation Single 62450 0 1 06-01-2014 61 515 47 267 62 66 38 2 5 5 4 3 0 1 0 0 0 0 3 11 0 +3623 1976 Graduation Together 21675 1 0 11-06-2014 55 4 0 16 17 4 4 3 4 0 3 7 0 0 0 0 0 0 3 11 0 +738 1981 2n Cycle Single 42395 1 1 04-04-2014 35 48 13 57 24 15 25 4 3 1 4 7 0 0 0 0 0 0 3 11 0 +7631 1978 Master Together 61346 1 0 06-10-2013 34 562 58 168 43 16 142 1 5 7 10 3 0 0 0 0 0 0 3 11 0 +4789 1953 Graduation Together 80812 0 0 17-09-2013 95 769 22 500 210 143 33 1 4 8 5 2 1 0 1 1 0 0 3 11 0 +773 1971 Master Divorced 42835 1 1 30-06-2013 64 379 4 93 12 9 98 7 6 6 4 6 0 0 0 0 0 0 3 11 0 +10602 1983 Graduation Married 39922 1 0 14-02-2013 30 29 12 59 19 1 36 2 3 0 4 8 0 0 0 0 0 0 3 11 0 +1446 1956 Master Single 86424 0 0 05-04-2014 12 387 68 569 89 45 68 1 6 9 12 1 0 0 0 0 0 0 3 11 0 +3270 1978 2n Cycle Together 17117 1 0 17-01-2013 96 12 23 38 30 18 7 4 3 1 3 9 0 0 0 0 0 0 3 11 0 +8443 1972 Graduation Single 24762 1 0 10-02-2014 16 6 10 12 3 15 40 3 3 1 2 8 1 0 0 0 0 0 3 11 1 +9653 1975 Graduation Married 35797 0 1 16-10-2012 16 27 1 14 4 1 21 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +8916 1975 Graduation Divorced 36627 2 0 23-07-2013 78 9 1 5 0 0 1 1 0 0 3 5 0 0 0 0 0 0 3 11 0 +8017 1981 2n Cycle Married 51111 1 1 19-06-2014 83 22 0 19 6 5 3 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +5830 1972 PhD Single 86857 0 0 12-09-2012 96 899 102 838 133 102 40 1 5 6 10 2 0 0 0 0 0 0 3 11 1 +4597 1970 PhD Together 82072 0 0 02-07-2013 67 889 55 685 168 92 129 1 3 2 13 1 0 0 0 0 0 0 3 11 0 +7023 1953 PhD Single 46231 2 1 26-11-2012 87 189 2 55 0 5 12 4 6 1 4 9 0 0 0 0 0 0 3 11 0 +8086 1959 Graduation Married 42243 1 1 11-12-2013 34 48 0 2 0 0 5 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +8825 1962 Graduation Together 51195 1 1 01-04-2013 46 230 14 156 82 24 58 8 9 2 5 8 0 0 0 0 0 0 3 11 0 +2930 1978 Master Single 68092 0 0 16-12-2013 7 852 60 207 78 36 48 2 2 6 10 5 0 0 0 0 0 0 3 11 0 +1928 1973 Graduation Married 31814 1 0 09-02-2013 73 35 3 20 4 1 20 2 2 0 3 9 1 0 0 0 0 0 3 11 0 +7108 1965 Master Widow 51390 1 1 08-09-2012 54 205 20 47 23 2 56 6 5 2 5 5 0 0 0 0 0 0 3 11 0 +10925 1983 Graduation Married 76630 0 0 14-01-2014 93 255 31 446 40 56 175 1 3 10 11 1 0 0 0 0 0 0 3 11 0 +9960 1991 Basic Single 26868 1 0 30-04-2014 52 0 0 1 8 3 2 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +8800 1943 PhD Divorced 48948 0 0 01-02-2013 53 437 8 206 160 49 42 2 7 10 5 6 1 0 0 0 0 0 3 11 1 +9224 1972 PhD Single 55260 0 1 12-12-2012 81 825 8 53 11 0 242 2 8 10 5 6 0 0 0 0 0 0 3 11 0 +5519 1956 Graduation Together 64090 0 1 07-08-2013 8 316 58 161 76 51 135 1 6 9 4 5 0 0 0 0 0 0 3 11 1 +5046 1958 Graduation Divorced 78331 0 1 23-01-2014 97 756 138 354 160 169 61 2 10 6 7 4 0 0 0 0 0 0 3 11 0 +7037 1974 PhD Married 37087 1 0 11-08-2013 50 194 55 134 15 0 3 3 4 2 8 6 0 0 0 0 0 0 3 11 0 +905 1986 Graduation Divorced 21846 1 0 22-10-2013 38 7 17 18 6 10 26 4 4 0 3 8 0 0 0 0 0 0 3 11 0 +8624 1958 Graduation Married 81320 0 0 06-02-2013 61 183 33 493 59 103 57 1 4 3 10 2 0 0 0 0 0 0 3 11 0 +8945 1970 Graduation Divorced 54137 0 1 16-08-2013 46 171 0 11 0 1 20 2 4 1 4 6 0 0 0 0 0 0 3 11 0 +6445 1967 Graduation Together 66825 0 0 14-07-2013 73 243 101 405 29 40 40 1 4 5 6 2 0 0 0 0 0 0 3 11 0 +2727 1973 Graduation Together 57100 0 0 04-12-2013 19 181 21 69 39 3 96 1 3 3 6 3 0 0 0 0 0 0 3 11 0 +6404 1969 Graduation Together 58917 1 2 24-03-2013 10 151 7 89 0 7 28 5 4 1 6 5 0 0 0 0 0 0 3 11 0 +11074 1977 Graduation Single 85072 0 0 09-04-2014 94 494 92 391 194 11 241 1 3 4 10 0 0 0 0 0 0 0 3 11 0 +10150 1961 Graduation Single 86429 0 0 21-11-2013 10 464 28 873 29 18 37 0 7 4 7 2 0 0 0 1 0 0 3 11 1 +1968 1971 Graduation Widow 45684 1 0 02-12-2013 37 5 1 5 10 0 7 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +6534 1974 Graduation Together 47889 1 0 04-01-2014 94 29 0 29 0 5 4 1 2 0 3 5 0 0 0 0 0 0 3 11 0 +9485 1986 PhD Married 45921 0 0 10-03-2014 23 102 9 49 24 3 12 1 2 1 6 4 0 0 0 0 0 0 3 11 0 +7053 1966 PhD Single 78420 0 0 29-06-2013 75 604 28 674 91 28 28 1 3 10 8 1 0 0 0 0 0 0 3 11 0 +4654 1992 Graduation Together 75114 0 0 07-11-2013 40 571 12 523 63 60 24 1 3 10 5 2 0 0 0 0 0 0 3 11 0 +9760 1963 PhD Widow 52278 0 1 25-01-2013 24 953 0 71 0 0 174 6 10 5 10 8 0 0 0 0 0 0 3 11 1 +1048 1972 Master Married 35641 1 0 14-07-2013 11 63 3 67 8 9 28 2 3 1 4 7 0 0 0 0 0 0 3 11 1 +10619 1994 Graduation Single 95529 0 0 03-12-2012 29 770 29 890 250 27 24 1 7 3 7 3 0 0 1 0 0 0 3 11 1 +9308 1954 Graduation Married 62820 0 0 11-05-2013 51 398 61 265 138 61 53 1 3 4 6 1 0 0 0 0 0 0 3 11 0 +10505 1960 Master Together 73113 0 0 26-12-2013 86 741 19 154 50 9 28 1 3 4 7 2 0 0 0 0 0 0 3 11 0 +8362 1982 PhD Married 84169 0 0 07-08-2013 9 1478 19 403 0 19 0 1 7 6 6 3 0 1 1 0 0 0 3 11 1 +2625 1954 2n Cycle Single 42607 0 1 17-11-2013 30 156 29 56 30 32 47 2 3 2 7 3 0 0 0 0 0 0 3 11 0 +4637 1954 PhD Single 74637 0 0 18-05-2013 73 960 64 464 146 0 16 1 6 9 9 3 0 0 0 1 0 0 3 11 0 +9972 1955 PhD Together 46015 1 1 13-04-2014 25 38 0 2 0 0 6 1 1 0 3 7 1 0 0 0 1 0 3 11 0 +4483 1993 Graduation Single 72354 0 0 17-04-2013 67 315 26 473 220 12 182 1 2 10 6 1 0 0 0 0 0 0 3 11 0 +4487 1969 Master Single 39858 1 0 24-01-2013 67 15 20 25 2 7 26 1 2 0 4 6 0 0 0 0 0 0 3 11 1 +4988 1948 PhD Married 34469 1 1 04-05-2014 58 19 6 20 0 5 12 3 1 1 4 4 0 0 0 0 0 0 3 11 0 +8931 1986 Graduation Together 83033 1 0 18-05-2014 82 812 99 431 237 149 33 1 11 4 10 5 0 0 0 1 0 0 3 11 0 +5871 1979 Master Together 24401 0 0 31-08-2012 98 73 28 217 10 24 115 3 6 1 6 8 0 0 0 0 0 0 3 11 0 +2008 1978 Graduation Married 77583 0 0 10-02-2014 93 372 23 384 250 12 108 1 4 5 9 2 0 0 0 1 0 0 3 11 0 +3139 1982 2n Cycle Single 74116 0 0 30-12-2013 53 871 111 704 145 55 166 1 4 4 10 2 0 1 0 0 0 0 3 11 0 +10037 1993 Graduation Single 74293 0 0 04-05-2014 66 375 152 335 93 91 81 1 5 4 6 2 0 0 0 0 0 0 3 11 0 +10673 1976 PhD Married 68397 0 1 17-11-2013 6 760 80 466 17 13 80 1 6 9 5 3 0 0 0 0 0 0 3 11 0 +5303 1974 PhD Together 79632 0 0 08-04-2014 42 471 0 510 99 21 12 1 6 4 9 2 0 0 0 0 0 0 3 11 0 +538 1989 Graduation Single 46107 1 0 10-02-2014 78 31 9 27 16 9 33 1 1 1 4 3 0 0 0 0 0 0 3 11 0 +7922 1951 PhD Single 64950 0 1 12-08-2012 29 819 0 72 12 0 63 2 11 2 10 7 0 1 0 0 0 0 3 11 0 +5692 1989 Basic Married 25443 1 0 22-12-2012 82 1 4 3 8 9 7 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +4843 1952 Graduation Single 75127 0 0 22-05-2014 92 203 35 305 46 17 227 1 2 11 5 1 0 0 0 0 0 0 3 11 0 +6383 1971 PhD Together 32892 1 0 25-05-2014 78 26 0 15 2 1 2 2 3 0 3 8 0 0 0 0 0 0 3 11 0 +1628 1971 Graduation Together 71796 0 0 24-10-2013 54 354 21 311 167 75 32 1 9 3 4 4 0 0 0 0 0 0 3 11 0 +1204 1970 PhD Married 67536 0 1 22-05-2013 45 1253 0 447 23 71 35 3 11 5 11 8 0 0 0 1 0 0 3 11 0 +3673 1971 Graduation Single 55239 0 1 14-07-2013 59 371 17 238 23 24 106 3 7 5 11 5 0 0 0 0 0 0 3 11 0 +760 1975 PhD Divorced 60554 1 0 09-08-2013 8 588 7 76 110 15 15 2 8 4 9 6 0 0 0 0 0 0 3 11 0 +8957 1952 2n Cycle Single 64831 1 1 10-06-2013 51 480 86 249 75 86 144 8 6 3 5 6 0 0 0 0 0 0 3 11 0 +4128 1962 PhD Together 56067 0 1 20-07-2013 51 517 12 54 16 6 120 2 7 4 7 5 0 0 0 0 0 0 3 11 0 +6810 1983 Graduation Divorced 82025 0 0 28-05-2013 76 267 98 606 48 70 98 1 3 2 6 1 0 0 1 0 0 0 3 11 1 +5386 1953 Graduation Together 94384 0 0 04-03-2013 62 1111 24 790 160 45 172 0 5 8 5 2 0 1 1 1 0 0 3 11 1 +8700 1986 Basic Single 14906 0 0 22-12-2012 86 7 7 14 7 16 15 3 2 1 3 7 0 0 0 0 0 0 3 11 0 +3202 1987 PhD Married 51563 0 0 01-10-2012 60 1166 0 48 0 0 36 1 4 4 10 8 0 1 1 0 0 0 3 11 0 +1328 1982 2n Cycle Married 57937 0 1 16-02-2014 56 261 42 144 55 48 133 3 4 4 9 3 0 0 0 0 0 0 3 11 0 +8405 1979 Graduation Divorced 68274 1 1 30-09-2013 83 135 25 51 23 25 46 2 4 2 5 3 0 0 0 0 0 0 3 11 0 +6515 1977 Graduation Together 39771 1 0 06-12-2013 92 6 2 18 2 8 14 1 2 0 3 4 0 0 0 0 0 0 3 11 0 +2882 1975 2n Cycle Divorced 67893 0 1 01-10-2012 31 711 28 142 49 18 47 2 3 2 9 8 0 0 0 0 0 0 3 11 0 +7574 1979 PhD Together 27922 1 0 10-05-2014 80 11 0 13 2 4 11 1 2 0 3 4 0 0 0 0 0 0 3 11 0 +6387 1976 PhD Together 52190 1 1 08-05-2014 39 42 0 17 0 0 18 3 2 1 3 5 1 0 0 0 0 0 3 11 0 +5320 1973 Master Divorced 44051 1 1 29-01-2013 20 79 7 58 6 3 18 4 3 1 4 6 0 0 0 0 0 0 3 11 1 +5048 1971 PhD Single 42767 2 0 11-05-2013 53 20 6 43 19 5 38 1 3 1 2 8 0 0 0 0 0 0 3 11 0 +8146 1976 Master Together 46106 1 1 11-05-2014 84 30 0 8 2 0 14 1 1 1 2 6 0 0 0 0 0 0 3 11 0 +10031 1976 PhD Married 16927 1 1 10-02-2013 50 20 2 23 3 1 4 5 3 0 4 8 0 0 0 0 0 0 3 11 0 +5748 1965 Graduation Married 59754 0 1 01-12-2012 96 115 27 44 4 146 139 3 5 2 6 5 0 0 0 0 0 0 3 11 1 +2134 1952 Graduation Single 53700 0 1 17-08-2012 94 263 5 233 69 41 83 4 5 5 8 5 0 0 0 0 0 0 3 11 0 +1523 1973 Graduation Married 59041 1 1 07-05-2014 25 69 2 15 2 2 6 2 2 0 4 5 0 0 0 0 0 0 3 11 0 +9665 1957 PhD Divorced 54237 0 1 27-04-2013 48 267 3 30 4 0 57 4 5 2 5 6 0 0 0 0 0 0 3 11 0 +4640 1967 Graduation Divorced 70647 0 1 21-09-2012 65 561 85 171 25 123 114 2 4 7 13 2 0 0 0 0 0 0 3 11 0 +3635 1962 PhD Single 52597 0 1 07-05-2014 69 492 0 37 7 0 42 3 6 3 8 5 0 0 0 0 0 0 3 11 0 +3547 1969 Master Together 41021 1 0 30-12-2012 12 14 7 9 6 16 12 2 2 0 3 6 0 0 0 0 0 0 3 11 1 +2456 1975 PhD Married 40233 0 1 14-10-2013 84 80 4 46 0 17 2 5 2 1 5 6 0 0 0 0 0 0 3 11 0 +5633 1980 Graduation Married 50183 1 1 25-06-2014 47 97 12 84 13 10 15 7 3 1 6 5 0 0 0 0 0 0 3 11 0 +7801 1959 Graduation Together 54753 0 1 12-09-2013 87 197 107 227 7 59 131 3 5 2 11 4 0 0 0 0 0 0 3 11 0 +10489 1973 Graduation Married 92955 0 0 19-08-2013 35 693 21 925 31 24 84 1 6 7 9 2 0 0 1 1 0 0 3 11 1 +7011 1973 Graduation Married 33471 1 0 12-10-2012 47 43 2 27 0 9 12 3 3 0 4 7 0 0 0 0 0 0 3 11 0 +2620 1974 PhD Married 34596 1 0 13-04-2013 48 14 0 2 0 0 7 1 1 0 2 8 0 0 0 0 0 0 3 11 1 +3933 1980 Graduation Together 44010 1 0 13-10-2012 46 186 36 234 86 72 48 6 10 2 6 9 0 0 0 0 0 0 3 11 0 +10981 1988 Graduation Married 84219 0 0 02-02-2014 27 434 137 400 45 137 45 1 3 4 10 1 0 0 0 0 0 0 3 11 0 +1734 1968 PhD Together 40706 2 1 17-01-2013 37 59 0 11 4 2 5 4 3 0 4 7 0 0 0 0 0 0 3 11 0 +10995 1988 2n Cycle Married 15716 1 0 12-11-2012 8 16 5 30 8 7 26 3 3 0 4 8 0 0 0 0 0 1 3 11 0 +6357 1959 2n Cycle Divorced 59052 0 1 17-11-2013 29 230 35 75 63 57 31 3 7 1 7 5 0 0 0 0 0 0 3 11 0 +9209 1971 Master Together 80573 0 0 14-10-2012 85 829 138 430 60 92 15 1 4 6 13 2 0 0 0 0 0 0 3 11 0 +10286 1962 Graduation Married 83715 0 0 03-02-2014 2 318 8 407 150 35 8 1 2 8 13 0 0 0 0 0 0 0 3 11 0 +2611 1959 Master Together 82576 0 0 01-08-2012 66 1206 55 445 168 18 18 1 2 4 12 1 0 0 1 0 0 0 3 11 0 +1600 1965 Master Married 56962 2 1 11-10-2013 60 292 3 77 10 3 26 7 6 3 5 7 0 0 0 0 0 0 3 11 0 +3308 1952 Graduation Married 35704 1 1 03-01-2014 54 30 9 12 2 11 30 3 2 0 4 4 0 0 0 0 0 0 3 11 0 +5407 1954 Graduation Together 53103 0 1 12-09-2013 70 729 17 133 11 0 195 5 10 6 7 7 1 0 0 0 0 0 3 11 0 +2166 1960 2n Cycle Widow 46779 1 1 12-07-2013 55 12 1 3 0 0 7 1 0 1 2 4 0 0 0 0 0 0 3 11 0 +3955 1965 Graduation Divorced 4861 0 0 22-06-2014 20 2 1 1 1 0 1 0 0 0 0 14 0 0 0 0 0 0 3 11 0 +6634 1979 Master Divorced 33462 1 0 07-08-2013 78 22 3 18 0 0 11 1 2 0 3 7 0 0 0 0 0 0 3 11 0 +3056 1978 Graduation Divorced 63693 0 1 14-10-2013 63 587 43 337 42 87 54 3 11 6 9 6 0 0 0 0 0 0 3 11 0 +5718 1950 Graduation Married 80763 0 0 15-08-2013 17 674 168 108 192 42 231 1 5 11 6 3 0 0 1 1 0 0 3 11 1 +6872 1974 PhD Married 65352 0 1 21-08-2013 43 284 3 84 4 7 23 2 4 2 8 4 0 0 0 0 0 0 3 11 0 +8164 1978 PhD Married 82170 0 0 25-11-2013 13 1023 93 651 49 55 37 1 5 6 7 2 0 0 0 0 0 0 3 11 0 +4580 1969 Graduation Married 75759 0 0 25-10-2013 46 1394 22 708 89 91 182 1 9 7 9 5 1 0 1 1 0 0 3 11 1 +9305 1976 2n Cycle Single 79689 0 0 12-05-2013 65 311 26 640 180 37 121 1 4 9 13 2 0 0 0 0 0 0 3 11 0 +453 1956 PhD Widow 35340 1 1 29-06-2014 1 27 0 12 0 1 5 2 2 0 3 5 0 0 0 0 0 0 3 11 0 +8545 1954 Graduation Divorced 85683 0 0 21-03-2014 6 1296 17 311 45 69 51 1 2 4 10 1 0 1 1 1 1 0 3 11 1 +9850 1972 2n Cycle Married 24884 1 0 29-11-2012 32 3 6 7 0 0 3 1 0 0 3 7 0 0 0 0 0 0 3 11 0 +7378 1981 Master Together 42021 1 0 31-08-2012 34 393 5 136 7 5 27 5 10 1 6 9 1 0 0 0 0 0 3 11 0 +7646 1989 Graduation Single 64449 1 0 18-02-2014 70 218 63 282 137 35 70 4 5 3 12 4 0 0 0 0 0 0 3 11 0 +1640 1954 Graduation Divorced 64587 1 1 22-06-2014 49 66 0 16 0 6 20 2 1 1 4 3 0 0 0 0 0 0 3 11 0 +5184 1995 Graduation Single 34824 0 0 26-03-2014 65 4 2 11 2 0 4 1 1 0 2 6 0 0 0 0 0 0 3 11 0 +8492 1978 Graduation Together 75437 0 0 09-11-2013 25 795 0 545 95 58 0 1 8 4 10 6 0 0 0 1 0 0 3 11 0 +11188 1957 Graduation Together 26091 1 1 25-02-2014 84 15 10 19 8 17 20 3 2 1 3 5 0 0 0 0 0 0 3 11 0 +1212 1973 Graduation Married 52845 1 0 13-08-2013 7 384 25 292 130 41 64 3 8 8 6 6 1 0 0 0 0 0 3 11 0 +9097 1956 Graduation Divorced 46086 0 1 03-11-2013 34 244 8 32 7 2 50 4 3 1 8 4 0 0 0 0 0 0 3 11 0 +10473 1956 PhD Widow 78028 0 1 10-09-2012 38 158 19 288 25 0 38 1 6 4 9 7 0 1 1 0 0 0 3 11 1 +7962 1987 PhD Single 95169 0 0 09-10-2013 1 1285 21 449 106 20 20 1 4 3 4 1 0 0 1 1 0 0 3 11 1 +9984 1981 2n Cycle Married 56337 1 1 27-03-2013 25 349 16 144 28 5 182 5 8 5 4 8 1 0 0 1 0 0 3 11 1 +5527 1987 Graduation Together 22434 1 0 13-02-2013 25 4 12 11 3 13 15 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +6374 1954 PhD Married 36930 0 1 17-05-2013 50 223 2 31 0 2 39 5 5 2 4 8 0 0 0 0 0 0 3 11 0 +7453 1954 Graduation Single 36130 0 1 02-02-2013 46 157 43 127 68 56 37 6 3 8 4 4 1 0 0 0 0 0 3 11 1 +8952 1953 Master Married 65569 0 1 05-11-2012 96 397 46 288 20 38 70 2 6 5 10 3 0 0 0 0 0 0 3 11 0 +241 1952 Graduation Together 83844 0 0 12-05-2013 57 901 31 345 75 31 191 1 4 4 11 1 0 0 1 0 0 0 3 11 0 +8975 1968 Graduation Married 19514 1 1 26-01-2014 47 14 3 21 2 1 28 4 3 1 2 8 1 0 0 0 0 0 3 11 0 +6119 1963 PhD Single 36736 1 1 10-05-2013 52 10 0 3 0 0 4 1 1 0 2 6 0 0 0 0 0 0 3 11 0 +5236 1979 Graduation Together 77568 0 1 25-08-2012 30 1230 0 396 232 178 158 1 10 2 8 5 0 1 1 1 0 0 3 11 0 +5723 1976 PhD Together 49187 0 1 11-01-2014 63 81 1 31 2 1 0 1 1 1 5 2 0 0 0 0 0 0 3 11 0 +1710 1978 Graduation Single 30168 1 0 07-03-2013 51 154 20 66 0 12 27 7 6 1 4 9 0 0 0 0 0 0 3 11 0 +1970 1968 Master Together 34053 0 1 10-09-2012 14 63 0 21 7 0 12 1 3 0 3 8 0 0 0 0 0 0 3 11 0 +5313 1971 Master Married 38196 1 1 18-04-2014 20 30 0 11 0 0 3 3 2 0 4 5 0 0 0 0 0 0 3 11 0 +10634 1951 Master Married 59412 0 0 19-04-2014 56 90 67 165 30 43 11 1 4 2 8 3 0 0 0 0 0 0 3 11 0 +7010 1965 2n Cycle Married 70924 0 0 07-04-2014 41 635 114 254 132 152 76 1 6 6 7 3 0 0 1 0 0 0 3 11 0 +8562 1969 Graduation Together 54165 0 0 28-05-2013 72 127 4 73 15 6 11 1 2 1 7 2 0 0 0 0 0 0 3 11 0 +3158 1973 Graduation Married 32300 1 0 03-01-2013 1 13 3 6 6 5 6 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +4436 1976 Graduation Single 20180 0 0 20-02-2013 27 18 42 24 15 20 18 1 2 1 4 7 0 0 0 0 0 0 3 11 0 +5287 1973 Graduation Married 34961 1 0 19-06-2014 77 45 2 26 4 1 1 3 3 1 3 7 0 0 0 0 0 0 3 11 0 +2445 1974 PhD Together 28440 1 0 07-07-2013 87 38 1 24 0 0 0 1 2 0 3 8 0 0 0 0 0 0 3 11 0 +6059 1953 PhD Together 64504 1 2 04-03-2013 81 986 36 168 16 0 108 7 11 3 4 7 0 0 0 0 0 0 3 11 1 +4550 1966 Master Together 33564 0 1 24-06-2014 51 61 0 3 0 0 7 1 1 1 3 5 0 0 0 0 0 0 3 11 0 +4240 1978 Graduation Married 17345 1 0 03-11-2012 79 4 9 16 17 0 12 2 2 1 2 8 0 0 0 0 0 0 3 11 0 +8911 1967 PhD Married 56320 0 1 08-04-2013 11 201 53 172 116 77 83 3 5 4 9 4 0 0 0 0 0 0 3 11 0 +3706 1978 Graduation Single 28647 1 0 21-08-2013 54 19 8 29 0 12 26 1 2 2 2 7 1 0 0 0 0 0 3 11 1 +3628 1987 Basic Single 15038 1 0 29-01-2013 93 4 8 11 19 12 26 2 2 1 2 9 0 0 0 0 0 0 3 11 0 +10175 1958 PhD Divorced 32173 0 1 01-08-2013 0 18 0 2 0 0 2 1 1 0 3 4 0 0 0 0 0 0 3 11 0 +8985 1964 2n Cycle Together 68316 0 1 04-11-2012 54 806 80 161 120 11 33 5 10 7 10 6 0 0 0 0 0 0 3 11 0 +5204 1971 Graduation Together 74538 0 0 29-06-2013 21 380 98 733 110 112 28 1 8 8 5 3 0 0 1 0 0 0 3 11 1 +9220 1971 Graduation Single 91700 0 0 17-01-2013 58 576 172 961 125 115 19 1 8 6 5 3 0 0 0 0 0 0 3 11 1 +9888 1969 Graduation Together 68695 0 0 25-06-2014 3 458 81 356 106 50 40 1 4 4 7 2 0 0 0 0 0 0 3 11 0 +5263 1977 2n Cycle Married 31056 1 0 22-01-2013 99 5 10 13 3 8 16 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +1020 1973 Graduation Married 79593 0 0 12-05-2014 70 350 60 568 110 133 145 1 5 6 7 2 0 0 1 0 0 0 3 11 0 +9503 1980 Graduation Single 28071 0 0 29-08-2012 65 39 33 130 41 26 44 2 5 1 5 8 0 0 0 0 0 0 3 11 0 +10613 1958 PhD Together 37334 1 1 26-02-2014 44 26 1 16 2 2 15 4 3 0 4 4 0 0 0 0 0 0 3 11 0 +67 1972 Master Single 46423 1 1 18-09-2013 6 68 0 16 0 0 8 3 2 0 4 7 0 0 0 0 0 0 3 11 0 +6019 1971 PhD Married 37126 1 0 30-03-2014 9 45 3 9 4 4 7 1 1 2 2 6 1 0 0 0 0 0 3 11 1 +5863 1953 Graduation Married 47703 0 1 29-05-2013 95 359 0 134 13 26 123 4 6 3 8 5 0 0 0 0 0 0 3 11 0 +3717 1959 Graduation Married 61180 0 1 23-04-2014 70 403 24 29 6 24 218 2 5 5 6 3 1 0 0 0 0 0 3 11 0 +6730 1954 Graduation Married 38998 1 1 03-11-2012 92 34 1 14 0 0 5 3 2 0 3 8 0 0 0 0 0 1 3 11 0 +10749 1991 Graduation Single 8028 0 0 18-09-2012 62 73 18 66 7 12 2 15 0 1 0 19 0 0 0 0 0 0 3 11 0 +4998 1962 Graduation Together 76081 0 0 23-05-2014 85 292 30 415 63 33 200 1 4 5 4 2 0 0 0 1 0 0 3 11 0 +6287 1986 Graduation Together 34728 1 0 30-07-2013 2 14 0 16 0 0 6 1 1 1 2 6 0 0 0 0 0 0 3 11 1 +5985 1965 Master Single 33168 0 1 13-10-2012 0 80 1 37 0 1 3 3 2 1 4 7 0 0 0 0 0 0 3 11 0 +4754 1966 Master Married 33585 0 1 25-09-2013 91 30 11 33 13 6 29 1 2 0 4 4 0 0 0 0 0 0 3 11 0 +4002 1960 PhD Married 77037 0 1 13-10-2013 3 463 96 333 168 53 10 1 7 7 12 3 0 0 0 0 0 0 3 11 0 +8870 1984 Graduation Together 35196 1 0 13-11-2012 68 75 12 141 43 39 187 6 6 1 5 8 0 0 0 0 0 0 3 11 1 +966 1966 Graduation Married 44529 0 1 05-07-2013 98 538 13 91 17 6 26 6 6 2 11 5 0 1 0 0 0 0 3 11 0 +4767 1965 2n Cycle Married 70924 0 0 07-04-2014 41 635 114 254 132 152 76 1 6 6 7 3 0 0 1 0 0 0 3 11 0 +9725 1966 PhD Together 28764 1 1 05-06-2014 16 8 0 3 0 0 1 1 1 0 2 8 1 0 0 0 0 0 3 11 0 +4475 1949 PhD Married 69098 0 0 16-02-2013 82 1315 22 780 145 0 178 1 7 8 9 5 0 0 0 0 0 0 3 11 0 +5740 1970 2n Cycle Divorced 25959 1 1 14-02-2013 1 4 2 12 7 5 26 2 1 2 2 6 0 0 0 0 0 0 3 11 1 +5731 1983 Master Married 27100 1 0 05-04-2013 64 12 0 13 2 0 10 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +7290 1985 Graduation Single 70596 0 0 05-10-2012 68 347 44 534 17 0 26 1 3 5 12 2 0 0 0 0 0 0 3 11 0 +3846 1974 Graduation Married 42557 0 1 29-08-2012 98 192 5 53 0 5 15 4 6 1 4 8 0 0 0 0 0 0 3 11 0 +8104 1951 PhD Married 53312 0 0 09-08-2013 32 241 0 12 0 0 25 1 5 1 5 7 0 0 0 0 0 0 3 11 0 +4507 1952 Graduation Single 72228 0 0 27-11-2012 87 631 28 491 30 14 56 1 6 7 8 3 0 0 0 0 0 0 3 11 0 +11013 1987 Graduation Together 67605 0 0 31-03-2013 84 336 28 282 184 54 54 1 2 8 6 1 0 0 0 0 0 0 3 11 0 +4491 1949 Master Married 62845 1 1 01-10-2012 3 1099 0 45 0 0 34 11 3 4 10 8 0 1 0 0 0 0 3 11 0 +3759 1958 Graduation Together 65196 0 2 25-07-2013 34 743 19 181 12 0 200 2 7 6 11 5 1 0 0 0 0 0 3 11 0 +1162 1987 PhD Single 42000 0 0 10-01-2013 23 124 83 267 85 59 35 2 5 2 11 5 0 0 0 0 0 0 3 11 1 +2055 1973 PhD Divorced 35860 1 1 19-05-2014 37 15 0 8 4 2 20 2 1 1 2 5 1 0 0 0 0 0 3 11 0 +10766 1964 PhD Married 65526 0 1 11-04-2014 22 397 19 69 12 0 9 1 4 4 8 2 0 0 0 0 0 0 3 11 0 +4415 1961 Graduation Married 16860 1 1 12-09-2012 19 10 4 4 3 3 14 3 1 1 3 7 0 0 0 0 0 0 3 11 0 +3005 1992 Graduation Single 83528 0 0 01-05-2014 7 530 117 678 134 44 147 1 4 10 8 1 1 0 0 1 0 0 3 11 1 +2223 1965 2n Cycle Divorced 64176 0 1 03-08-2012 52 1215 33 249 64 116 149 8 8 9 8 6 0 0 0 0 0 0 3 11 0 +4817 1956 Graduation Divorced 22304 0 0 04-08-2012 91 3 2 7 0 4 2 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +2875 1978 Graduation Married 67023 0 0 04-03-2014 93 444 44 382 11 8 17 1 3 7 13 2 0 0 0 0 0 1 3 11 0 +10536 1971 PhD Together 32892 1 0 25-05-2014 78 26 0 15 2 1 2 2 3 0 3 8 0 0 0 0 0 0 3 11 0 +11112 1966 Graduation Together 70713 0 1 03-12-2012 23 736 114 279 82 76 190 6 5 6 8 3 0 0 0 0 0 0 3 11 0 +3807 1955 Graduation Together 59925 0 1 30-11-2012 83 473 21 176 19 21 56 3 9 2 9 6 0 0 0 0 0 0 3 11 0 +9197 1953 Graduation Married 39722 0 1 24-02-2014 92 32 0 5 2 0 8 2 2 0 3 5 0 0 0 0 0 0 3 11 0 +10832 1958 Graduation Together 46610 0 0 18-07-2013 4 288 10 30 4 10 125 1 6 1 6 6 0 0 0 0 0 0 3 11 0 +6421 1961 Graduation Together 88347 0 0 03-07-2013 32 1050 178 555 77 138 118 1 4 7 9 1 0 0 0 1 0 0 3 11 0 +4207 1981 PhD Married 87171 0 0 01-05-2013 27 1001 44 107 58 44 44 1 6 7 11 2 1 0 1 0 0 0 3 11 0 +577 1976 2n Cycle Together 26907 1 1 20-08-2013 10 9 1 7 0 3 2 2 1 0 3 7 0 0 0 0 0 0 3 11 0 +10855 1968 Master Single 50014 1 0 22-01-2014 9 234 14 77 19 10 42 2 4 1 8 5 0 0 0 0 0 0 3 11 0 +3081 1978 PhD Married 41014 1 0 22-04-2013 65 7 2 6 2 0 3 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +3535 1965 Graduation Single 66294 0 0 17-03-2014 68 251 108 334 65 92 117 1 4 3 5 2 0 0 0 0 0 0 3 11 0 +247 1971 Graduation Married 36715 1 0 17-11-2012 16 172 10 125 21 13 16 6 7 2 4 9 0 0 0 0 0 0 3 11 1 +8707 1956 Graduation Married 79456 0 0 22-08-2012 12 565 42 548 64 83 99 1 5 6 4 3 0 0 0 0 0 0 3 11 1 +9523 1982 Graduation Together 40479 1 0 17-08-2013 95 5 0 8 2 0 0 1 0 0 3 4 0 0 0 0 0 0 3 11 0 +6072 1970 Master Single 75345 0 0 02-02-2013 16 918 57 842 99 38 133 1 5 8 6 3 0 0 0 1 0 0 3 11 1 +6295 1977 Graduation Married 54233 0 1 04-02-2013 46 652 8 158 21 0 142 4 11 6 5 8 0 0 0 0 0 0 3 11 0 +10914 1970 Graduation Single 24163 1 1 12-10-2013 3 4 1 7 2 1 2 2 1 0 3 4 0 0 0 0 0 0 3 11 0 +1509 1958 PhD Together 84460 0 0 04-01-2013 80 152 27 103 106 54 81 0 9 9 4 5 0 1 1 1 1 0 3 11 1 +5577 1983 Graduation Together 43776 1 0 03-05-2014 77 8 0 9 2 1 3 1 1 0 2 6 0 0 0 0 0 0 3 11 0 +7348 1958 PhD Single 71691 0 0 17-03-2014 0 336 130 411 240 32 43 1 4 7 5 2 0 0 0 0 0 0 3 11 1 +1127 1973 PhD Married 85844 0 0 29-05-2014 62 938 19 843 25 95 38 1 6 6 7 2 0 0 1 0 0 0 3 11 0 +1833 1974 PhD Single 39190 1 0 26-04-2014 91 68 8 18 19 8 12 2 2 1 4 5 0 0 0 0 0 0 3 11 0 +4944 1959 Graduation Together 71367 0 0 23-08-2013 24 227 23 389 42 21 75 1 4 5 7 2 0 0 0 0 0 0 3 11 0 +9080 1972 PhD Single 38578 1 1 22-06-2013 2 38 4 22 3 3 3 3 3 0 3 8 0 0 0 0 0 0 3 11 0 +6466 1965 PhD Married 57236 1 1 12-03-2014 22 105 0 9 2 1 4 3 2 1 4 3 0 0 0 0 0 0 3 11 0 +9964 1979 Graduation Single 61825 0 1 07-08-2013 56 162 50 100 55 30 27 1 4 2 8 4 0 0 0 0 0 0 3 11 0 +4790 1958 Graduation Divorced 79803 0 1 02-06-2014 54 574 8 216 21 16 33 1 4 3 5 1 0 0 0 0 0 0 3 11 0 +10245 1986 2n Cycle Single 80910 0 0 31-10-2012 71 160 80 369 67 39 41 1 3 3 8 1 0 0 0 0 0 0 3 11 0 +1109 1982 Master Together 27590 1 0 23-04-2013 38 6 0 5 0 0 1 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +6001 1979 Graduation Married 56775 0 1 02-01-2013 62 614 35 160 58 35 35 2 5 8 10 5 0 0 0 0 0 0 3 11 0 +5538 1975 Graduation Divorced 83829 0 0 08-10-2013 78 897 161 430 186 161 27 0 4 7 6 1 1 0 1 1 0 0 3 11 1 +10552 1979 2n Cycle Married 54210 0 1 20-05-2013 18 70 54 109 80 9 45 2 4 1 7 5 0 0 0 0 0 0 3 11 0 +1545 1986 Graduation Married 38508 1 0 02-08-2013 95 120 19 206 25 19 54 6 7 2 5 8 0 0 0 0 0 0 3 11 0 +7409 1970 Graduation Together 53187 1 0 26-10-2013 66 211 2 30 7 7 10 2 4 1 6 5 0 0 0 0 0 0 3 11 0 +4444 1972 Graduation Married 30023 1 0 24-03-2014 28 11 0 16 7 6 21 1 2 0 3 8 0 0 0 0 0 0 3 11 0 +146 1960 PhD Single 76045 0 0 15-11-2013 78 760 53 400 17 93 0 1 4 5 11 2 0 0 0 1 0 0 3 11 0 +6271 1952 PhD Married 50870 0 1 19-06-2014 13 53 0 8 0 0 2 1 2 0 3 5 0 0 0 0 0 0 3 11 0 +10065 1970 2n Cycle Married 15315 0 0 03-08-2013 27 7 4 13 15 8 17 2 2 0 4 5 0 0 0 0 0 0 3 11 0 +4741 1974 2n Cycle Married 65463 1 0 30-01-2014 17 391 32 70 21 32 16 2 6 2 9 5 0 1 0 0 0 0 3 11 0 +246 1965 Graduation Married 66480 1 1 31-05-2014 71 199 9 57 20 21 6 7 4 1 7 4 0 0 0 0 0 0 3 11 0 +375 1954 Graduation Divorced 76773 0 0 25-02-2013 79 516 56 449 86 33 16 1 2 2 11 1 0 0 0 0 0 0 3 11 0 +1524 1983 2n Cycle Single 81698 0 0 01-03-2013 1 709 45 115 30 160 45 1 8 2 5 5 0 0 0 1 0 0 3 11 1 +10022 1973 PhD Single 54466 1 1 09-02-2014 78 12 0 4 0 0 0 1 1 0 2 5 0 0 0 0 0 0 3 11 0 +7451 1960 Master Single 98777 0 0 17-02-2014 23 1000 19 711 125 115 38 0 4 6 9 1 0 1 0 0 0 0 3 11 0 +11010 1984 PhD Single 16269 1 0 30-08-2013 75 19 3 18 3 1 0 3 3 0 3 8 0 0 0 0 0 0 3 11 0 +4356 1971 Graduation Together 71819 0 1 28-08-2013 70 1224 28 140 0 14 168 3 3 3 5 6 0 1 1 0 0 0 3 11 0 +3885 1983 PhD Married 33569 1 0 16-10-2013 10 16 2 18 3 0 24 1 1 1 2 8 1 0 0 0 0 0 3 11 1 +1175 1983 Master Married 36262 0 0 20-09-2013 24 88 39 54 64 28 153 1 3 5 3 6 1 0 0 0 0 0 3 11 1 +880 1966 Basic Together 22634 0 0 16-01-2013 47 2 23 11 8 6 46 1 2 1 2 8 0 0 0 0 0 0 3 11 0 +2320 1978 2n Cycle Married 47025 0 1 12-09-2013 98 508 11 59 23 5 29 5 11 1 6 9 0 0 0 0 0 0 3 11 0 +850 1968 Graduation Single 70566 0 1 06-10-2013 4 381 28 215 84 28 21 2 6 5 9 3 0 0 0 0 0 0 3 11 0 +4713 1979 PhD Married 31605 1 0 22-11-2012 15 74 0 42 2 1 6 2 2 1 4 7 0 0 0 0 0 0 3 11 0 +675 1973 Master Divorced 52034 1 1 17-05-2013 67 146 0 93 7 13 73 5 4 2 5 7 0 0 0 0 0 0 3 11 0 +5025 1979 Graduation Single 48526 1 0 24-12-2013 32 23 17 23 43 20 9 1 2 1 4 3 0 0 0 0 0 0 3 11 0 +2308 1954 Graduation Married 46734 0 1 18-11-2012 40 110 5 137 26 23 29 2 6 1 5 7 0 0 0 0 0 0 3 11 0 +5995 1962 Graduation Divorced 39552 1 1 18-12-2012 54 165 3 147 4 24 41 7 6 2 5 8 0 0 0 0 0 0 3 11 1 +6749 1966 Graduation Single 86358 1 1 08-08-2012 78 957 47 494 82 47 95 4 5 3 6 8 0 0 0 0 0 0 3 11 0 +1010 1977 Graduation Together 46931 2 1 24-04-2014 94 41 0 17 3 1 16 2 1 1 3 3 0 0 0 0 0 0 3 11 0 +8977 1985 Basic Single 16581 0 0 12-01-2013 51 1 3 4 2 3 11 1 0 0 3 4 0 0 0 0 0 0 3 11 0 +4756 1952 2n Cycle Divorced 63998 0 0 20-12-2013 42 176 29 818 0 33 112 1 7 6 11 4 0 0 0 0 0 0 3 11 1 +3412 1951 Master Married 67381 0 1 15-01-2013 67 815 8 53 11 0 70 4 2 2 9 7 0 1 0 0 0 0 3 11 0 +606 1967 Graduation Single 25930 1 1 10-10-2013 87 6 1 2 2 0 4 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +5961 1978 Graduation Married 42693 1 0 07-06-2014 29 8 4 20 6 3 16 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +2975 1976 Graduation Together 85606 0 1 12-11-2012 89 717 42 864 219 30 84 2 6 7 9 3 0 0 0 1 0 0 3 11 0 +2894 1985 Graduation Single 72903 0 0 29-10-2013 74 1067 138 750 0 19 39 1 7 5 8 4 0 1 1 1 0 0 3 11 1 +7613 1974 2n Cycle Together 49669 1 0 24-05-2014 97 166 5 107 11 8 29 2 5 1 6 6 0 0 0 0 0 0 3 11 0 +10542 1968 PhD Married 36778 1 1 05-08-2012 63 29 4 34 2 4 4 3 3 0 3 9 0 0 0 0 0 0 3 11 0 +8015 1962 PhD Divorced 85696 0 0 03-05-2013 88 714 76 395 116 0 12 1 4 6 9 1 0 0 0 0 0 0 3 11 1 +10617 1989 Master Divorced 10979 0 0 22-05-2014 34 8 4 10 2 2 4 2 3 0 3 5 0 0 0 0 0 0 3 11 0 +11166 1961 Graduation Married 49678 0 1 02-02-2013 81 229 5 56 3 2 20 2 6 2 4 7 0 0 0 0 0 0 3 11 0 +849 1953 Master Together 56129 0 1 20-06-2013 65 320 48 133 39 72 48 4 6 2 10 4 0 0 0 0 0 0 3 11 0 +523 1989 Graduation Married 37155 1 0 31-01-2013 51 23 0 26 7 15 3 1 2 0 4 5 0 0 0 0 0 0 3 11 0 +4066 1978 2n Cycle Divorced 21282 1 0 11-05-2014 76 1 5 8 4 8 20 2 2 1 2 6 0 0 0 0 0 0 3 11 0 +8414 1962 PhD Single 33419 0 1 17-08-2013 76 56 0 12 0 0 18 2 2 0 4 7 0 0 0 0 0 0 3 11 0 +819 1945 Graduation Widow 63285 0 0 05-11-2013 84 508 124 249 50 38 134 1 6 5 13 3 0 0 0 0 0 0 3 11 0 +4961 1974 Master Together 21255 1 0 21-01-2014 56 29 0 25 2 2 3 4 2 1 4 4 0 0 0 0 0 0 3 11 0 +749 1981 Graduation Together 42162 1 0 19-11-2013 31 46 7 59 2 4 27 2 3 1 3 6 1 0 0 0 0 0 3 11 1 +5430 1956 Graduation Together 54450 1 1 14-09-2012 0 454 0 171 8 19 32 12 9 2 8 8 0 0 0 0 0 0 3 11 0 +7755 1954 PhD Married 57744 0 1 12-11-2013 91 350 3 39 0 0 19 2 9 1 4 8 0 0 0 0 0 0 3 11 0 +10525 1986 Graduation Single 26576 1 0 13-10-2012 40 10 0 8 0 0 9 1 1 0 2 9 1 0 0 0 0 0 3 11 1 +1453 1943 PhD Widow 57513 0 0 06-07-2013 59 735 40 183 52 20 30 2 9 3 13 6 0 0 0 0 0 0 3 11 0 +8310 1964 Graduation Together 68142 0 1 29-08-2012 96 897 126 196 91 112 37 3 10 4 7 6 0 0 0 0 0 0 3 11 0 +10710 1979 Graduation Married 7500 0 1 29-08-2012 61 5 2 3 3 0 5 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +5031 1974 Graduation Together 83145 0 0 22-09-2012 14 777 35 731 39 137 114 1 5 9 11 2 0 0 1 0 0 0 3 11 1 +2613 1960 Master Married 54197 0 1 03-04-2014 16 162 6 37 6 13 13 2 1 3 6 1 0 0 0 0 0 0 3 11 0 +213 1963 PhD Single 23091 1 1 28-05-2014 98 35 0 11 0 0 2 4 2 1 3 7 0 0 0 0 0 0 3 11 0 +967 1976 Graduation Married 46049 1 1 21-07-2013 11 342 9 112 19 14 19 10 5 2 9 7 0 0 0 0 0 0 3 11 1 +1077 1974 Graduation Together 56715 0 0 05-12-2012 52 258 105 239 237 172 9 1 7 3 4 4 0 0 0 0 0 0 3 11 0 +7959 1961 Graduation Married 79410 0 0 29-05-2014 19 658 80 483 123 13 13 1 3 2 5 1 0 0 0 0 0 0 3 11 0 +640 1951 Graduation Married 57304 0 1 11-03-2013 61 356 80 329 138 17 106 2 7 6 10 5 0 0 0 0 0 0 3 11 0 +4252 1965 Graduation Married 44375 0 1 23-03-2014 73 213 5 28 7 7 41 1 4 1 6 5 0 0 0 0 0 0 3 11 0 +8432 1956 Graduation Together 54450 1 1 14-09-2012 0 454 0 171 8 19 32 12 9 2 8 8 0 0 0 0 0 0 3 11 0 +6218 1965 Graduation Married 59594 0 1 20-10-2012 74 457 4 29 0 0 9 1 8 1 7 7 0 1 0 0 0 0 3 11 0 +6905 1994 Graduation Together 80685 0 0 22-08-2012 55 241 45 604 34 26 54 1 6 4 10 2 0 0 0 0 0 0 3 11 0 +5922 1974 PhD Married 40344 0 1 13-10-2013 48 210 0 6 0 0 2 2 4 1 5 7 0 0 0 0 0 0 3 11 0 +3598 1972 Graduation Married 62710 0 1 23-05-2013 53 441 35 83 7 29 11 4 4 2 12 4 0 0 0 0 0 0 3 11 0 +6116 1968 2n Cycle Married 48985 0 1 05-07-2013 13 19 13 18 10 7 8 1 1 1 3 3 0 0 0 0 0 0 3 11 0 +6263 1968 Graduation Together 35322 1 2 22-08-2012 34 28 9 37 12 7 13 3 2 0 4 8 0 0 0 0 0 0 3 11 0 +10486 1948 Graduation Married 77142 0 0 29-05-2013 54 476 75 162 29 151 97 1 4 4 8 2 0 0 0 0 0 0 3 11 0 +2410 1969 Graduation Single 81657 0 0 22-01-2014 69 364 40 425 158 60 50 1 3 4 8 1 0 0 0 0 0 0 3 11 0 +193 1996 Basic Married 14421 0 0 17-02-2014 81 0 0 2 3 3 8 1 1 0 2 5 1 0 0 0 0 0 3 11 0 +3363 1974 2n Cycle Married 20130 0 0 17-03-2014 99 0 6 3 7 6 12 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +8278 1990 PhD Married 74214 0 0 26-08-2012 3 863 83 547 86 99 33 1 8 2 5 5 0 0 0 0 0 0 3 11 0 +10660 1957 Master Married 66726 1 1 12-01-2014 61 349 7 35 0 0 47 3 8 2 4 7 0 1 0 0 0 0 3 11 0 +8686 1979 Basic Together 23724 1 0 08-01-2013 65 5 23 15 0 18 14 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +1604 1960 Master Married 47353 0 1 13-11-2013 93 184 2 19 8 8 4 3 2 2 6 5 0 0 0 0 0 0 3 11 0 +5907 1952 Master Married 33444 1 1 03-11-2012 24 8 0 8 0 0 2 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +10669 1981 Graduation Married 54386 0 1 17-05-2013 8 277 21 64 62 21 25 2 3 2 10 3 0 0 0 0 0 0 3 11 0 +2918 1981 Graduation Divorced 28510 1 1 13-04-2013 72 44 5 19 0 4 19 3 2 0 4 5 0 0 0 0 0 0 3 11 0 +5735 1991 Master Single 90638 0 0 13-02-2014 29 1156 120 915 94 144 96 1 3 4 10 1 0 0 1 0 0 0 3 11 0 +359 1950 Graduation Together 48070 0 1 13-01-2013 33 373 14 83 6 9 19 3 8 2 6 7 0 0 0 0 0 1 3 11 0 +8387 1957 Graduation Married 43140 0 1 05-01-2013 68 134 8 76 6 0 11 1 4 1 5 6 0 0 0 0 0 0 3 11 0 +1829 1961 PhD Divorced 54959 0 1 19-01-2013 55 1148 0 60 0 0 24 3 9 5 4 7 0 1 0 0 0 0 3 11 1 +3839 1958 Basic Single 15056 1 1 03-05-2013 76 6 12 3 21 6 40 5 2 2 3 5 0 0 0 0 0 0 3 11 0 +9392 1971 Graduation Single 26954 1 0 08-05-2014 17 4 1 11 0 0 1 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +2292 1985 Graduation Single 22327 1 0 02-08-2013 94 5 4 8 2 0 5 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +10466 1965 Graduation Married 44393 1 1 22-08-2013 86 24 2 20 2 2 10 2 1 0 4 4 0 0 0 0 0 0 3 11 0 +9855 1952 PhD Single 62000 0 1 25-08-2013 25 899 0 101 0 0 20 1 6 6 13 4 0 0 0 1 0 0 3 11 0 +4088 1962 PhD Together 31497 0 1 06-12-2012 22 108 1 28 13 1 4 2 3 1 4 8 0 0 0 0 0 0 3 11 0 +5231 1974 2n Cycle Married 45894 0 2 27-02-2014 15 27 2 7 0 2 13 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +590 1970 Master Divorced 78579 0 0 22-12-2012 35 816 66 549 216 66 99 1 5 6 4 3 0 0 0 0 0 0 3 11 1 +8732 1969 Master Widow 67369 0 1 17-11-2012 81 1298 0 70 37 14 42 4 7 4 10 4 0 1 1 0 0 0 3 11 1 +2315 1960 Graduation Divorced 58401 0 1 20-04-2014 55 10 0 11 17 29 29 1 1 2 2 4 0 0 0 0 0 0 3 11 0 +3515 1952 Graduation Single 62307 0 1 17-02-2014 94 87 13 34 10 6 10 1 4 0 4 5 0 0 0 0 0 0 3 11 0 +2245 1969 Master Married 43641 1 1 22-04-2013 50 57 2 51 4 2 23 3 2 1 4 6 0 0 0 0 0 0 3 11 0 +6283 1968 Master Divorced 63841 0 1 21-04-2013 64 635 15 100 20 7 131 1 9 3 9 6 0 0 0 0 0 0 3 11 0 +2246 1965 2n Cycle Married 46891 0 1 01-09-2013 91 43 12 23 29 15 61 1 2 1 4 4 0 0 0 0 0 0 3 11 0 +6606 1969 Master Married 70091 1 0 31-03-2013 11 964 34 137 15 0 11 2 5 2 10 8 0 1 0 0 0 0 3 11 0 +5545 1972 PhD Married 78075 0 0 05-04-2014 72 572 8 259 34 35 80 1 3 5 5 1 0 0 0 0 0 0 3 11 0 +7342 1961 2n Cycle Widow 59184 0 1 09-09-2012 6 341 142 113 259 151 66 3 6 6 12 5 0 0 0 0 0 0 3 11 0 +837 1977 Graduation Married 54809 1 1 11-09-2013 0 63 6 57 13 13 22 4 2 1 5 4 0 0 0 0 0 0 3 11 0 +9500 1959 Graduation Married 58113 0 1 25-01-2013 66 221 104 169 102 78 84 3 9 2 8 7 0 0 0 0 0 1 3 11 0 +3602 1958 Master Married 51412 0 1 31-12-2013 42 140 3 29 4 5 14 2 3 2 4 4 0 0 0 0 0 0 3 11 0 +234 1979 Graduation Divorced 15287 1 0 10-10-2012 60 1 2 8 4 3 13 2 1 1 2 7 1 0 0 0 0 0 3 11 1 +2995 1957 Master Together 66636 0 0 17-08-2013 64 291 10 689 84 10 0 1 3 4 9 1 0 0 0 0 0 0 3 11 0 +1118 1956 Master Married 50965 0 1 20-02-2013 87 544 13 85 8 6 29 3 10 4 5 8 1 0 0 0 0 0 3 11 0 +7789 1965 PhD Married 84618 0 0 22-11-2013 96 684 100 801 21 66 0 1 6 9 10 2 0 0 1 0 0 0 3 11 0 +3068 1990 Graduation Married 18351 0 0 29-10-2013 1 1 12 9 0 14 7 1 2 0 3 7 0 0 0 0 0 0 3 11 0 +8955 1957 PhD Together 40451 0 2 16-02-2014 54 35 0 4 0 0 10 1 1 1 2 5 1 0 0 0 0 0 3 11 0 +945 1965 Graduation Together 36317 0 1 22-05-2013 53 87 3 25 3 2 13 2 3 0 4 7 0 0 0 0 0 0 3 11 0 +5644 1957 Graduation Together 42213 0 1 12-10-2013 96 309 3 24 4 3 20 2 5 1 7 7 0 1 0 0 0 0 3 11 0 +7192 1955 Graduation Together 65748 0 1 15-04-2013 58 172 73 93 95 78 34 2 2 4 10 1 0 0 0 0 0 1 3 11 0 +2324 1972 Graduation Together 77044 0 1 27-10-2013 12 625 38 242 50 34 76 2 7 11 11 4 1 0 0 0 0 0 3 11 0 +697 1969 Graduation Together 74918 0 0 12-03-2013 78 972 59 913 25 19 59 1 5 9 6 3 0 0 1 0 0 0 3 11 0 +3439 1972 Graduation Married 56721 1 1 31-10-2012 64 157 6 39 6 13 75 5 4 1 5 6 0 0 0 0 0 0 3 11 0 +1506 1975 Graduation Single 42160 1 1 28-06-2013 26 48 9 45 3 15 20 4 2 1 4 6 0 0 0 0 0 0 3 11 1 +232 1965 Graduation Single 61559 0 1 17-07-2013 8 279 83 88 32 14 34 1 4 2 10 3 0 0 0 0 0 0 3 11 0 +8876 1963 PhD Together 33629 1 1 08-08-2012 49 132 0 16 0 0 4 5 3 1 4 9 0 0 0 0 0 0 3 11 0 +4500 1991 PhD Together 68682 0 0 06-10-2013 56 919 0 505 99 30 45 1 4 9 10 2 0 0 0 0 0 0 3 11 0 +9739 1963 Graduation Single 34377 0 1 19-01-2013 55 62 0 22 3 1 26 2 2 2 2 7 0 0 0 0 0 0 3 11 0 +10395 1986 Basic Single 8940 1 0 22-08-2012 25 1 45 3 4 6 42 3 3 1 3 8 0 0 0 0 0 0 3 11 0 +1176 1973 Graduation Married 26228 1 0 22-09-2013 50 2 6 4 3 1 9 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +1627 1957 2n Cycle Divorced 77297 0 0 26-01-2013 84 408 61 109 48 122 41 1 5 7 9 4 0 0 0 1 0 0 3 11 0 +938 1981 Graduation Married 40211 1 1 30-07-2013 30 51 1 7 2 1 25 2 2 1 2 8 1 0 0 0 0 0 3 11 0 +2740 1958 PhD Widow 33438 1 1 22-09-2013 81 62 1 16 3 2 6 4 2 1 4 5 0 0 0 0 0 0 3 11 0 +257 1959 PhD Married 75032 0 1 28-04-2013 74 952 12 180 47 12 12 2 5 4 9 3 0 0 0 0 0 0 3 11 0 +4058 1955 PhD Single 61284 0 0 12-10-2013 76 618 15 106 20 7 45 1 11 2 8 6 0 1 0 0 0 0 3 11 0 +7736 1986 Graduation Married 22518 1 0 22-10-2012 36 11 7 12 2 2 27 2 2 1 2 5 1 0 0 0 0 0 3 11 1 +8210 1975 Master Married 54730 0 1 15-08-2013 64 318 3 17 4 7 56 5 4 1 8 4 0 0 0 0 0 0 3 11 0 +833 1955 Master Married 38452 1 1 30-03-2014 62 56 0 14 0 0 2 3 3 0 3 7 0 0 0 0 0 0 3 11 0 +6230 1971 Graduation Divorced 44421 1 1 15-02-2013 53 110 5 59 7 1 7 5 5 0 4 8 0 0 0 0 0 0 3 11 0 +7325 1986 PhD Together 38197 1 0 29-06-2013 86 23 0 11 2 1 3 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +1307 1978 Graduation Divorced 41986 0 1 09-02-2014 15 27 5 8 8 3 12 3 3 0 4 4 0 0 0 0 0 0 3 11 0 +1502 1983 Graduation Together 28427 1 0 21-03-2013 67 18 3 19 3 3 6 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +6211 1976 PhD Together 37395 1 0 02-05-2014 47 18 0 9 0 1 11 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +843 1971 Graduation Married 64722 1 0 26-05-2014 47 303 0 280 60 147 15 4 8 2 11 6 0 0 0 0 0 0 3 11 0 +4174 1956 Master Together 55249 0 1 17-04-2014 81 97 1 19 2 0 11 1 2 1 4 3 0 0 0 0 0 0 3 11 0 +9757 1972 Graduation Together 84906 0 0 04-10-2013 98 997 15 414 99 30 76 1 5 6 12 2 0 1 1 0 1 0 3 11 0 +6918 1989 Graduation Married 28691 1 0 04-07-2013 56 5 4 13 8 0 4 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +286 1952 Graduation Single 44213 1 1 29-11-2013 48 95 11 35 0 4 7 4 2 1 5 6 0 0 0 0 0 0 3 11 0 +11086 1984 Basic Single 25707 1 0 18-01-2014 18 1 6 2 3 6 3 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +1921 1967 PhD Married 59062 2 1 03-10-2013 74 46 1 12 3 0 9 2 2 0 3 4 0 0 0 0 0 0 3 11 0 +4138 1962 Graduation Single 76624 0 1 24-05-2014 68 411 106 147 54 115 66 1 5 10 7 1 1 0 0 0 0 0 3 11 0 +7718 1947 Master Together 66000 0 0 20-04-2014 36 244 51 270 101 0 45 1 1 3 5 1 0 0 0 0 0 0 3 11 0 +1291 1978 PhD Together 27683 1 0 04-08-2012 90 152 9 121 12 12 45 4 6 2 4 8 0 0 0 0 0 0 3 11 0 +6862 1971 Graduation Divorced 1730 0 0 18-05-2014 65 1 1 3 1 1 1 15 0 0 0 20 0 0 0 0 0 0 3 11 0 +4136 1992 Basic Single 7500 1 0 03-12-2012 63 10 17 18 8 26 40 4 3 2 2 9 0 0 0 0 0 0 3 11 0 +803 1968 Graduation Together 40521 1 1 05-04-2013 82 12 0 5 0 0 4 1 0 1 2 5 0 0 0 0 0 0 3 11 0 +4298 1973 PhD Together 20427 1 0 24-03-2014 63 5 0 4 0 0 1 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +10833 1975 Graduation Married 65106 0 1 24-05-2014 55 790 19 133 12 0 19 3 8 3 13 6 0 1 0 0 0 0 3 11 0 +9606 1965 PhD Married 69969 0 0 27-08-2013 64 882 29 514 38 29 44 1 4 2 6 3 0 0 1 1 0 0 3 11 1 +8534 1952 Graduation Married 67433 0 2 16-07-2013 51 615 28 259 12 48 30 4 6 5 13 4 0 1 0 0 0 0 3 11 0 +5153 1967 PhD Married 77766 0 1 22-02-2013 97 1004 59 265 115 59 27 2 11 10 11 6 1 0 0 0 0 0 3 11 1 +961 1972 Graduation Married 74716 0 1 12-09-2013 92 133 27 421 13 195 71 2 7 3 5 4 0 0 0 0 0 0 3 11 0 +5011 1963 Graduation Divorced 68118 0 1 18-10-2013 51 595 23 123 10 23 154 2 8 9 4 6 0 0 0 0 0 0 3 11 0 +6653 1970 PhD Married 55158 1 1 30-07-2012 72 293 0 87 4 11 23 4 7 2 5 7 0 0 0 0 0 0 3 11 1 +9094 1955 2n Cycle Married 62972 0 1 03-08-2012 39 313 15 47 20 0 192 2 7 4 3 6 0 0 0 0 0 0 3 11 1 +810 1975 Graduation Married 74190 0 1 12-05-2014 49 151 81 86 168 91 64 2 4 2 11 2 0 0 0 0 0 0 3 11 0 +5493 1976 Graduation Married 39356 1 1 19-03-2014 21 15 0 2 0 0 6 1 1 0 2 6 1 0 0 0 0 0 3 11 0 +2147 1969 Graduation Together 76653 0 0 16-08-2013 91 736 63 946 219 189 126 1 4 7 11 2 0 0 1 1 0 0 3 11 0 +5107 1973 PhD Divorced 35860 1 1 19-05-2014 37 15 0 8 4 2 20 2 1 1 2 5 1 0 0 0 0 0 3 11 0 +3979 1983 PhD Divorced 90687 0 0 22-05-2013 98 982 17 672 23 34 51 1 6 2 8 2 0 0 1 0 0 0 3 11 1 +6049 1982 Master Together 73450 0 0 05-12-2013 85 1142 51 415 90 69 37 1 7 8 11 3 1 0 0 1 0 0 3 11 0 +8147 1960 Graduation Married 31454 1 1 06-07-2013 40 28 0 11 0 0 9 3 2 0 3 8 0 0 0 0 0 0 3 11 0 +1857 1952 Graduation Single 47139 1 1 06-03-2014 2 46 0 12 0 2 23 2 2 1 2 7 0 0 0 0 0 0 3 11 1 +3910 1975 Graduation Divorced 83829 0 0 08-10-2013 78 897 161 430 186 161 27 0 4 7 6 1 1 0 1 1 0 0 3 11 1 +5207 1963 PhD Married 53378 1 1 24-09-2012 41 489 6 152 8 6 132 10 9 4 6 8 0 0 0 0 0 0 3 11 1 +11114 1970 Graduation Together 19656 1 0 08-02-2013 94 25 4 9 6 8 32 3 2 1 3 7 0 0 0 0 0 0 3 11 0 +5429 1948 PhD Married 45579 0 1 20-08-2013 10 145 1 33 2 1 1 1 4 1 4 6 0 0 0 0 0 0 3 11 0 +9400 1958 2n Cycle Single 85485 0 0 21-06-2014 73 630 26 611 44 18 54 1 6 6 6 2 0 0 0 0 0 0 3 11 0 +1740 1944 Graduation Married 55956 0 0 07-04-2014 22 760 38 104 50 9 38 2 7 3 4 4 0 1 0 0 0 0 3 11 0 +7488 1963 Master Single 64191 0 1 22-01-2013 30 420 15 186 151 38 15 3 5 3 13 3 0 0 0 0 0 0 3 11 0 +195 1972 Graduation Single 38808 1 0 26-08-2012 21 125 17 52 3 19 30 4 5 1 4 8 1 0 0 0 0 0 3 11 1 +635 1966 Master Married 57183 1 1 19-03-2013 51 464 5 64 7 0 70 8 9 1 7 8 0 0 0 0 0 0 3 11 0 +7527 1968 Master Divorced 23748 1 0 21-11-2012 97 6 6 29 12 15 8 3 2 1 3 8 0 0 0 0 0 0 3 11 0 +10319 1971 Graduation Married 66303 0 1 26-02-2013 56 1090 12 96 16 12 60 4 3 4 11 8 0 1 0 0 0 0 3 11 0 +2296 1975 Master Married 37368 1 0 16-12-2013 4 3 2 11 2 2 10 1 1 0 2 6 1 0 0 0 0 0 3 11 0 +10637 1964 Graduation Married 40800 1 2 01-01-2013 77 24 0 27 8 30 10 2 3 0 3 7 0 0 0 0 0 1 3 11 0 +2931 1978 Graduation Divorced 71847 0 0 21-09-2012 95 737 21 106 55 63 210 0 6 7 9 3 0 0 0 1 0 0 3 11 0 +907 1975 Graduation Married 46149 0 1 29-11-2013 36 254 6 71 4 0 27 5 5 1 7 5 0 0 0 0 0 0 3 11 0 +3698 1983 Graduation Together 78687 0 0 09-08-2012 13 817 185 687 145 55 241 1 4 6 8 2 0 0 1 0 0 0 3 11 1 +9516 1971 2n Cycle Divorced 49118 0 0 18-08-2012 90 620 54 239 99 98 119 2 9 7 10 7 0 1 0 0 1 0 3 11 1 +679 1957 PhD Married 37633 1 1 20-09-2012 49 13 4 20 0 0 1 2 1 0 3 9 0 0 0 0 0 0 3 11 0 +7384 1951 Master Together 39767 0 0 21-07-2013 18 113 61 204 34 26 47 2 7 1 7 8 0 0 0 0 0 0 3 11 0 +5043 1951 Basic Married 26997 0 0 05-11-2012 89 7 23 78 133 49 144 2 4 2 5 7 0 0 0 0 0 0 3 11 0 +5267 1970 Graduation Divorced 33986 1 0 14-03-2013 43 16 2 18 2 1 5 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +339 1972 PhD Married 57091 0 1 23-11-2012 82 462 0 24 6 0 4 2 9 2 5 7 0 1 0 0 0 0 3 11 1 +2516 1969 2n Cycle Married 46831 1 1 08-06-2013 84 22 2 10 6 4 34 2 1 2 2 4 0 0 0 0 0 0 3 11 0 +9010 1972 Master Married 83151 0 0 10-02-2013 80 968 147 842 137 42 210 1 5 7 10 2 1 0 1 1 0 0 3 11 1 +378 1971 Graduation Married 52531 0 0 30-12-2012 68 283 112 151 51 72 125 2 7 2 10 6 0 0 0 0 0 0 3 11 0 +4808 1956 Graduation Married 15759 0 0 05-09-2013 12 1 2 5 6 0 3 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +5068 1971 Graduation Single 22804 1 0 31-07-2013 75 14 1 7 2 1 1 1 2 0 2 9 0 0 0 0 0 0 3 11 0 +7628 1973 2n Cycle Married 43050 1 0 18-03-2014 10 30 5 24 6 3 8 2 2 0 4 5 0 0 0 0 0 0 3 11 0 +7128 1977 PhD Single 42997 1 1 07-12-2013 91 4 0 5 0 1 5 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +2811 1963 PhD Single 48918 1 1 12-04-2014 21 52 0 9 0 0 1 2 1 0 4 4 0 0 0 0 0 0 3 11 0 +3551 1954 Master Together 60033 0 1 29-03-2014 28 62 1 57 19 11 48 2 2 1 5 2 0 0 0 0 0 0 3 11 0 +1663 1978 PhD Together 34043 1 0 25-10-2013 97 20 2 14 3 0 10 1 2 0 2 9 0 0 0 0 0 0 3 11 0 +5543 1966 Graduation Together 57811 0 1 24-06-2013 49 545 7 114 37 21 78 5 7 2 11 5 0 1 0 0 0 0 3 11 0 +1577 1946 Graduation Married 78569 0 0 19-02-2014 14 558 79 622 207 175 95 1 4 6 4 1 0 0 1 0 0 0 3 11 1 +10641 1978 Graduation Single 7500 1 1 27-12-2012 5 6 5 4 13 4 25 4 2 1 3 6 0 0 0 0 0 0 3 11 0 +5336 1971 Master Together 157733 1 0 04-06-2013 37 39 1 9 2 0 8 0 1 0 1 1 0 0 0 0 0 0 3 11 0 +6024 1953 Graduation Together 94384 0 0 04-03-2013 62 1111 24 790 160 45 172 0 5 8 5 2 0 1 1 1 0 0 3 11 1 +1878 1985 2n Cycle Married 23148 0 0 18-02-2014 83 4 6 8 6 3 10 1 2 0 3 7 0 0 0 0 0 0 3 11 0 +3099 1970 Graduation Divorced 44267 1 1 25-02-2013 48 183 5 65 3 5 49 5 5 2 4 9 0 0 0 0 0 0 3 11 0 +6055 1979 Graduation Married 71626 0 0 01-11-2012 94 546 72 376 94 145 72 1 5 5 8 3 0 1 0 0 0 0 3 11 0 +5841 1966 Graduation Together 60894 0 1 28-06-2013 61 606 7 155 10 0 54 5 10 3 8 7 0 0 0 0 0 0 3 11 0 +3972 1976 Graduation Together 50200 1 1 03-04-2013 70 266 6 51 8 6 64 6 7 1 5 8 0 0 0 0 0 0 3 11 0 +4394 1965 PhD Married 81051 0 0 23-05-2014 43 1142 29 249 38 29 14 1 5 5 12 2 0 1 1 0 0 0 3 11 0 +5758 1982 Graduation Married 65169 0 0 14-01-2014 23 1074 0 69 0 0 46 1 10 4 13 6 1 0 1 1 1 0 3 11 1 +6658 1972 Graduation Together 59868 0 1 22-07-2013 37 771 51 154 54 10 154 7 11 2 12 6 0 0 0 0 0 0 3 11 0 +4603 1960 PhD Married 65695 0 1 31-01-2014 50 371 32 189 0 58 6 2 5 4 10 4 0 0 0 0 0 0 3 11 0 +8427 1956 Master Single 64857 0 0 23-11-2012 78 556 14 717 210 0 43 1 7 5 10 4 0 0 0 0 0 0 3 11 0 +10260 1965 Master Together 45143 0 1 26-08-2013 74 202 5 74 11 5 14 3 6 1 5 7 0 0 0 0 0 0 3 11 0 +7143 1955 2n Cycle Together 74805 0 1 06-11-2013 14 209 162 209 41 162 37 5 4 7 10 2 0 0 0 0 0 0 3 11 0 +8789 1989 2n Cycle Married 59060 1 0 11-01-2014 77 35 40 111 36 40 12 3 3 1 7 4 0 0 0 0 0 0 3 11 0 +6197 1962 PhD Single 27238 1 1 20-04-2013 39 37 0 17 0 0 3 3 3 0 3 9 0 0 0 0 0 0 3 11 0 +4554 1965 Graduation Together 47009 0 1 01-10-2013 89 171 45 73 59 10 90 4 3 2 8 4 0 0 0 0 0 0 3 11 0 +4937 1973 2n Cycle Married 46094 1 1 10-06-2014 62 12 2 20 3 2 5 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +1920 1972 Graduation Married 40321 1 1 29-07-2013 59 44 4 21 6 0 27 2 3 0 3 7 0 0 0 0 0 0 3 11 0 +8749 1984 Graduation Together 37235 1 0 01-02-2014 68 20 2 9 4 6 20 1 1 1 2 4 0 0 0 0 0 0 3 11 0 +1650 1960 Master Married 81843 0 0 22-04-2013 13 779 86 537 34 69 138 1 5 9 12 3 0 0 0 0 0 0 3 11 0 +10377 1958 Master Together 46692 0 1 06-06-2013 37 170 6 97 24 12 88 3 6 1 5 6 0 0 0 0 0 0 3 11 0 +9206 1968 Graduation Together 77382 0 1 07-01-2014 36 491 48 231 112 105 134 2 5 7 12 1 0 0 1 0 0 0 3 11 0 +10971 1977 Graduation Single 37774 2 0 03-09-2012 28 173 8 107 7 2 176 4 7 2 3 9 1 0 0 0 0 1 3 11 1 +6398 1974 Basic Married 18393 1 0 29-03-2014 2 7 10 13 16 0 4 2 3 0 3 8 0 0 0 0 0 0 3 11 0 +9212 1962 Master Married 72828 0 1 14-02-2013 17 1205 0 235 19 14 205 6 6 3 13 7 0 0 0 0 0 0 3 11 0 +7937 1982 Graduation Married 24711 0 0 18-04-2014 86 10 7 25 6 3 7 1 3 0 3 7 0 0 0 0 0 0 3 11 0 +839 1975 PhD Married 45503 1 0 25-09-2013 54 97 4 44 6 1 18 1 3 1 4 5 0 0 0 0 0 0 3 11 0 +4246 1982 Master Single 6560 0 0 12-12-2013 2 67 11 26 4 3 262 0 1 0 1 17 0 0 0 0 0 0 3 11 0 +158 1945 PhD Together 71604 0 0 17-11-2013 3 345 53 528 98 75 97 1 8 3 5 4 1 0 0 0 0 0 3 11 1 +4832 1979 Graduation Married 27244 1 0 07-03-2014 84 6 5 17 3 24 46 2 2 2 2 7 0 0 0 0 0 0 3 11 0 +5621 1969 Graduation Married 48752 1 1 12-12-2012 8 73 57 100 71 15 0 5 6 1 5 9 0 0 0 0 0 0 3 11 1 +1945 1962 Graduation Married 71434 0 1 18-09-2013 4 711 36 217 172 96 168 3 7 4 7 4 0 1 0 1 0 0 3 11 0 +5147 1948 Graduation Single 90842 0 0 29-07-2013 57 774 70 118 182 187 93 1 4 9 13 1 0 0 0 0 0 0 3 11 0 +2535 1978 Master Married 88097 1 0 18-08-2012 24 163 0 480 0 126 75 1 6 5 8 9 0 1 1 1 0 0 3 11 1 +11039 1975 Graduation Married 51948 0 1 17-09-2013 51 82 33 54 71 30 41 2 5 2 4 5 0 0 0 0 0 0 3 11 0 +9495 1982 Graduation Together 71853 0 0 08-05-2013 29 358 108 413 141 97 32 1 2 8 6 1 0 0 0 0 0 0 3 11 0 +9635 1983 Master Married 35876 0 0 20-04-2014 13 66 2 40 4 3 14 1 3 1 3 6 0 0 0 0 0 0 3 11 0 +2173 1952 Graduation Widow 40049 0 1 16-10-2013 23 13 6 7 0 3 3 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +942 1982 Graduation Single 39660 1 0 08-08-2012 36 139 13 78 20 13 36 3 7 1 3 9 0 0 0 0 0 0 3 11 1 +9386 1962 Graduation Together 50127 0 1 29-05-2014 88 274 0 21 4 6 15 1 5 1 6 6 0 1 0 0 0 0 3 11 0 +5510 1977 Master Married 43263 0 1 21-11-2012 2 262 6 61 0 10 102 3 5 2 6 5 0 0 0 0 0 0 3 11 0 +873 1949 Master Married 62845 1 1 01-10-2012 3 1099 0 45 0 0 34 11 3 4 10 8 0 1 0 0 0 0 3 11 1 +2253 1990 Graduation Married 18929 0 0 16-02-2013 15 32 0 8 23 4 18 1 1 0 4 6 0 0 0 0 0 0 3 11 0 +5181 1982 Basic Single 24367 1 0 20-03-2013 58 2 4 2 0 11 5 1 1 0 2 9 0 0 0 0 0 0 3 11 0 +979 1975 Graduation Single 33249 1 0 20-02-2013 11 6 10 21 19 14 42 2 2 1 3 6 0 0 0 0 0 0 3 11 0 +10390 1959 2n Cycle Married 26887 0 1 10-02-2013 27 6 7 4 3 4 6 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +4698 1983 PhD Married 50150 0 0 20-06-2013 32 135 46 92 65 61 11 2 5 2 7 5 0 0 0 0 0 0 3 11 0 +7793 1976 Graduation Together 62061 0 1 31-08-2013 12 641 7 84 0 30 38 3 10 4 7 6 0 1 0 0 0 0 3 11 0 +1745 1962 PhD Divorced 85696 0 0 03-05-2013 88 714 76 395 116 0 12 1 4 6 9 1 0 0 0 0 0 0 3 11 1 +10590 1956 PhD Together 76542 0 0 30-03-2013 91 794 73 573 0 29 14 1 4 8 10 2 0 0 0 0 0 0 3 11 0 +5080 1993 Graduation Single 70515 0 0 21-10-2013 12 420 0 452 182 64 140 1 6 6 4 2 0 0 0 0 0 0 3 11 1 +8369 1987 Graduation Together 18227 1 0 08-11-2012 21 1 2 7 4 3 11 1 0 1 2 8 0 0 0 0 0 0 3 11 0 +5232 1965 Graduation Married 69139 0 1 27-01-2014 23 86 12 75 33 15 6 1 4 1 5 4 0 0 0 0 0 0 3 11 0 +2407 1982 Graduation Married 69109 0 0 09-11-2012 10 823 25 459 124 29 95 1 6 6 7 4 0 0 1 0 0 0 3 11 1 +3834 1962 Graduation Single 69627 0 1 17-03-2013 35 231 161 215 171 30 53 2 8 2 11 5 0 0 0 0 0 0 3 11 0 +7912 1978 Graduation Married 38136 1 0 22-04-2013 69 8 15 27 0 20 33 2 3 1 2 8 1 0 0 0 0 0 3 11 0 +7712 1946 PhD Single 62159 0 0 28-04-2014 68 182 17 259 77 70 29 1 6 2 10 4 0 0 0 0 0 0 3 11 0 +1065 1963 Graduation Single 80695 0 0 29-12-2013 85 557 129 984 193 37 18 1 5 8 5 2 0 0 0 0 0 0 3 11 0 +7275 1971 Master Single 33316 1 1 04-10-2013 34 79 1 31 4 4 12 3 2 1 4 6 0 0 0 0 0 0 3 11 0 +1343 1968 Graduation Together 58554 1 1 26-09-2012 55 368 24 68 38 0 88 6 8 2 6 7 0 0 0 0 0 0 3 11 0 +1384 1992 Basic Married 17256 1 0 23-11-2013 10 6 4 14 8 8 22 2 2 1 2 8 1 0 0 0 0 0 3 11 0 +9967 1974 Graduation Divorced 53034 1 1 30-05-2013 30 160 15 196 15 11 50 8 6 1 7 8 0 0 0 0 0 0 3 11 0 +6181 1950 2n Cycle Together 52203 0 0 31-07-2012 36 488 21 238 56 108 28 1 8 7 11 6 0 0 0 0 0 0 3 11 0 +10507 1977 2n Cycle Divorced 59601 0 1 25-07-2013 14 691 7 69 0 7 23 4 2 2 7 8 0 1 0 0 0 0 3 11 0 +2674 1958 Master Single 75154 0 1 04-09-2012 79 543 10 205 160 143 82 1 6 3 6 3 0 0 0 0 0 0 3 11 1 +2698 1976 Graduation Single 47025 0 1 07-11-2013 52 254 7 108 20 0 26 3 6 3 5 6 0 0 0 0 0 0 3 11 0 +3231 1973 Graduation Married 37971 1 0 25-11-2013 97 5 4 10 2 2 7 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +4096 1968 Master Divorced 41335 1 0 26-12-2013 24 112 19 21 16 14 5 3 4 1 4 7 0 0 0 0 0 0 3 11 0 +10476 1958 Graduation Married 67267 0 1 13-05-2014 0 134 11 59 15 2 30 1 3 2 5 2 0 0 0 0 0 0 3 11 0 +5948 1975 Graduation Single 57338 0 1 29-04-2014 96 143 6 52 11 8 17 2 4 1 5 5 0 0 0 0 0 0 3 11 0 +9140 1960 2n Cycle Together 50523 1 1 25-12-2013 89 51 4 24 4 7 1 2 2 0 4 6 0 0 0 0 0 0 3 11 0 +10258 1965 Master Single 35791 2 1 06-05-2013 94 27 0 5 0 0 3 2 1 0 3 8 0 0 0 0 0 0 3 11 0 +5675 1960 PhD Divorced 50611 0 1 04-10-2012 98 459 0 24 6 0 4 6 4 5 7 6 0 1 0 0 0 0 3 11 0 +4743 1969 PhD Married 56242 0 1 03-03-2013 72 689 8 167 11 8 88 5 8 4 11 6 0 0 0 0 0 0 3 11 0 +8805 1960 Graduation Single 48904 0 1 02-12-2012 1 283 10 38 0 13 27 4 7 2 4 8 0 0 0 0 0 0 3 11 0 +1542 1975 Graduation Single 56243 1 2 30-12-2013 26 347 0 35 4 3 7 6 4 2 8 5 0 0 0 0 0 0 3 11 0 +6770 1985 Graduation Married 21355 1 0 20-08-2013 5 5 13 14 0 5 31 2 2 1 2 6 1 0 0 0 0 0 3 11 1 +8773 1971 Master Together 57420 0 1 25-06-2013 22 280 0 18 0 0 24 3 5 1 6 7 0 1 0 0 0 0 3 11 0 +10475 1970 Master Together 0 1 01-04-2013 39 187 5 65 26 20 14 2 4 2 6 5 0 0 0 0 0 0 3 11 0 +10420 1955 Master Divorced 46390 0 1 05-05-2014 56 95 14 64 2 9 38 1 4 2 3 7 0 0 0 0 0 0 3 11 0 +7514 1956 2n Cycle Together 54342 1 1 03-07-2013 74 84 10 34 11 10 28 4 3 1 4 6 0 0 0 0 0 0 3 11 0 +2902 1958 Graduation Together 1 1 03-09-2012 87 19 4 12 2 2 6 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +4345 1964 2n Cycle Single 1 1 12-01-2014 49 5 1 9 2 0 4 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +793 1973 Graduation Married 20895 1 0 06-10-2012 24 18 3 17 3 0 4 1 2 0 3 9 0 0 0 0 0 0 3 11 0 +10909 1948 Graduation Married 92344 0 0 15-01-2014 9 992 24 694 51 19 119 0 5 10 5 1 1 0 1 0 0 0 3 11 0 +3769 1972 PhD Together 1 0 02-03-2014 17 25 1 13 0 0 3 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +8702 1976 2n Cycle Together 26907 1 1 20-08-2013 10 9 1 7 0 3 2 2 1 0 3 7 0 0 0 0 0 0 3 11 0 +4791 1980 Graduation Together 44964 1 1 16-12-2012 35 19 1 17 2 0 2 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +2963 1979 Graduation Together 75507 0 0 02-05-2014 56 709 93 374 104 80 80 1 8 6 6 3 0 0 0 0 0 0 3 11 0 +8216 1972 Master Married 53761 1 1 11-10-2013 7 158 0 76 13 7 71 6 4 4 3 5 0 0 0 0 0 0 3 11 0 +8140 1973 Graduation Together 22682 1 0 03-10-2013 51 10 14 29 4 2 36 3 2 1 4 4 0 0 0 0 0 0 3 11 0 +10146 1972 PhD Together 38887 1 0 02-03-2014 17 25 1 13 0 0 3 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +5289 1975 2n Cycle Single 41658 1 1 09-11-2012 30 8 4 12 15 4 29 2 1 1 2 4 0 0 0 0 0 0 3 11 0 +2587 1972 PhD Married 29791 1 0 15-05-2014 21 14 0 6 0 0 0 2 2 0 3 5 0 0 0 0 0 0 3 11 0 +4405 1956 Master Married 63915 0 2 30-07-2013 2 622 7 115 30 0 15 2 6 3 12 5 0 0 0 0 0 0 3 11 0 +8663 1974 Graduation Divorced 39996 1 1 22-05-2014 85 11 0 3 0 0 1 1 1 0 2 6 0 0 0 0 0 0 3 11 0 +2589 1972 Graduation Divorced 26759 1 0 07-02-2014 65 25 3 16 8 5 2 2 2 1 3 6 0 0 0 0 0 0 3 11 0 +3421 1968 Master Divorced 63841 0 1 21-04-2013 64 635 15 100 20 7 131 1 9 3 9 6 0 0 0 0 0 0 3 11 0 +10490 1969 PhD Married 51039 1 1 10-12-2012 11 100 64 79 65 0 109 2 6 2 4 7 0 0 0 0 0 0 3 11 0 +4094 1961 Graduation Married 60544 1 1 25-08-2012 92 201 2 43 3 5 35 4 5 1 5 6 0 0 0 0 0 0 3 11 0 +9958 1972 Graduation Married 65685 0 1 29-03-2014 54 642 14 49 0 7 57 1 9 2 9 5 0 0 0 0 0 0 3 11 0 +2534 1953 Graduation Married 37716 0 1 21-04-2014 4 97 1 41 6 2 41 2 4 1 3 7 0 0 0 0 0 0 3 11 0 +4188 1957 Graduation Single 36864 0 1 13-08-2012 53 204 5 39 17 0 89 3 5 2 4 8 0 0 0 0 0 0 3 11 1 +6613 1970 Master Married 44511 1 0 12-10-2012 39 513 7 133 46 14 14 6 8 4 8 8 0 0 0 0 0 0 3 11 0 +10827 1967 PhD Married 36947 1 1 07-08-2012 49 88 3 21 4 1 29 4 3 0 4 9 0 0 0 0 0 0 3 11 0 +5491 1951 Master Together 47352 0 1 11-04-2013 70 172 12 112 8 0 15 4 6 1 5 7 0 0 0 0 0 0 3 11 0 +8402 1953 Master Married 67087 0 1 17-12-2013 40 329 35 222 130 35 43 2 7 5 8 4 0 0 0 0 0 0 3 11 0 +8783 1950 Graduation Married 57045 0 1 08-09-2012 40 296 13 104 11 13 17 3 4 2 9 3 0 0 0 0 0 0 3 11 0 +10010 1953 PhD Divorced 36957 1 1 06-09-2012 43 100 2 16 2 1 31 4 3 2 2 9 0 0 0 0 0 0 3 11 1 +618 1977 PhD Married 69389 0 1 28-09-2012 17 422 7 238 69 46 15 1 7 2 12 4 0 0 0 0 0 0 3 11 0 +9121 1972 Graduation Married 80134 1 0 20-05-2013 40 1218 16 272 104 0 80 2 5 3 6 6 0 1 1 1 0 0 3 11 1 +361 1969 Master Married 43142 1 1 18-02-2014 84 5 1 7 2 1 4 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +4310 1944 Graduation Married 80589 0 0 22-01-2014 25 507 93 520 242 40 26 1 5 10 5 1 0 0 0 1 0 0 3 11 1 +2678 1990 Graduation Single 34412 1 0 13-02-2013 62 52 12 50 4 36 55 3 5 0 3 9 0 0 0 0 0 0 3 11 0 +6376 1979 Graduation Single 57537 1 0 10-06-2013 83 191 56 139 51 8 100 4 4 3 8 4 0 0 0 0 0 0 3 11 0 +524 1966 Basic Together 22634 0 0 16-01-2013 47 2 23 11 8 6 46 1 2 1 2 8 0 0 0 0 0 0 3 11 0 +10341 1948 Graduation Together 51315 0 0 23-02-2014 45 68 28 39 16 30 41 1 2 2 5 2 0 0 0 0 0 0 3 11 0 +5654 1972 Graduation Married 36026 2 1 16-03-2014 34 20 4 10 6 4 17 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +4098 1973 Graduation Married 24639 1 1 28-01-2014 3 20 3 16 0 4 1 3 2 0 4 6 0 0 0 0 0 0 3 11 0 +5824 1972 PhD Together 34578 2 1 11-04-2014 1 7 0 1 0 0 0 1 1 0 2 6 0 0 0 0 0 0 3 11 0 +7000 1972 2n Cycle Single 65704 0 0 13-10-2013 18 279 172 74 38 8 246 1 2 10 10 1 0 0 0 0 0 0 3 11 0 +2561 1966 Graduation Single 63810 0 1 11-11-2012 45 977 12 253 16 12 101 4 4 3 12 8 0 1 0 0 0 0 3 11 0 +5229 1969 PhD Together 54132 0 1 16-02-2014 81 30 1 8 0 0 3 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +4086 1959 Graduation Married 18690 0 0 28-12-2012 77 6 1 7 23 4 19 1 1 1 2 8 0 0 0 0 0 0 3 11 0 +2428 1970 Graduation Married 28164 1 0 04-05-2013 23 3 18 26 11 8 12 3 2 0 4 7 0 0 0 0 0 0 3 11 0 +8254 1974 PhD Married 34596 1 0 13-04-2013 48 14 0 2 0 0 7 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +2836 1972 PhD Married 43269 1 0 16-09-2013 61 10 1 7 0 0 1 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +8418 1958 2n Cycle Single 38741 1 1 30-03-2014 60 7 10 17 8 6 13 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +1362 1972 Graduation Single 31907 0 0 04-03-2013 75 33 87 64 175 16 74 1 6 1 6 7 0 0 0 0 0 0 3 11 0 +7152 1983 Master Married 27100 1 0 05-04-2013 64 12 0 13 2 0 10 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +10033 1973 2n Cycle Divorced 31163 1 0 13-02-2014 54 2 3 10 11 2 10 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +9349 1985 Graduation Married 92533 0 0 19-12-2013 84 693 21 118 110 147 42 1 6 5 11 2 0 0 1 1 0 0 3 11 0 +274 1973 Graduation Single 34853 1 1 23-12-2013 75 9 3 15 2 3 2 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +3388 1967 Graduation Divorced 70844 1 1 30-10-2013 16 129 26 67 3 67 2 5 6 1 5 7 0 0 0 0 0 0 3 11 0 +922 1979 2n Cycle Married 31086 1 1 04-05-2013 79 16 2 11 3 0 16 2 1 1 2 8 1 0 0 0 0 0 3 11 0 +8588 1961 Graduation Married 60544 1 1 25-08-2012 92 201 2 43 3 5 35 4 5 1 5 6 0 0 0 0 0 0 3 11 0 +2518 1986 2n Cycle Together 20491 0 0 25-01-2013 16 5 4 5 4 2 10 1 0 1 2 7 0 0 0 0 0 0 3 11 0 +574 1964 Graduation Married 42523 0 0 23-04-2014 96 14 36 11 3 26 35 1 1 1 4 2 0 0 0 0 0 0 3 11 0 +3220 1983 Graduation Married 39922 1 0 14-02-2013 30 29 12 59 19 1 36 2 3 0 4 8 0 0 0 0 0 0 3 11 0 +5967 1952 Graduation Together 33402 1 1 18-07-2013 60 26 2 19 10 5 8 3 2 1 3 8 0 0 0 0 0 0 3 11 0 +1183 1949 Master Married 36408 1 1 21-09-2013 11 9 1 4 3 2 3 1 1 0 2 6 0 0 0 0 0 0 3 11 0 +6856 1979 Graduation Together 21645 1 0 03-09-2012 75 14 0 23 4 5 19 3 3 0 3 9 0 0 0 0 0 0 3 11 1 +4530 1948 Master Widow 78427 0 0 24-10-2012 36 972 19 595 180 26 138 3 3 7 10 3 0 0 0 1 0 0 3 11 1 +1553 1946 Graduation Together 82657 0 0 27-09-2013 71 966 168 672 246 105 126 1 7 5 10 4 0 1 0 1 0 0 3 11 0 +4682 1958 Graduation Married 51876 0 0 15-10-2013 88 99 27 102 28 48 6 1 2 2 8 1 0 0 0 0 0 0 3 11 0 +8204 1971 2n Cycle Married 78041 0 0 16-12-2012 93 482 35 553 72 160 17 1 4 4 9 2 0 0 0 0 0 0 3 11 0 +5221 1957 Graduation Married 52852 0 1 01-12-2012 93 714 8 99 11 0 47 4 10 7 5 8 1 0 0 0 0 0 3 11 0 +1232 1982 PhD Together 70038 0 0 25-10-2013 54 587 54 348 71 54 130 1 4 4 8 2 0 0 0 0 0 0 3 11 0 +1927 1973 2n Cycle Together 69401 0 1 23-03-2014 41 399 27 159 58 8 39 4 4 4 5 2 0 0 0 0 0 0 3 11 0 +5788 1972 Graduation Together 46053 1 0 17-02-2013 46 56 10 92 19 7 25 3 3 2 4 5 0 0 0 0 0 0 3 11 0 +6652 1965 Graduation Married 77343 0 0 09-06-2014 28 227 151 573 98 54 31 1 3 4 9 1 0 0 0 0 0 0 3 11 0 +6246 1953 Graduation Single 73892 0 0 13-11-2013 40 703 102 601 0 58 43 1 3 11 8 1 0 0 0 0 0 0 3 11 1 +5975 1967 PhD Single 40304 1 0 30-09-2013 82 37 0 17 0 0 3 1 2 0 3 7 0 0 0 0 0 0 3 11 0 +6875 1965 PhD Together 32727 0 0 28-08-2012 38 167 13 180 86 13 70 2 7 3 5 8 0 0 0 0 0 0 3 11 0 +4399 1969 Graduation Together 68695 0 0 25-06-2014 3 458 81 356 106 50 40 1 4 4 7 2 0 0 0 0 0 0 3 11 0 +4042 1971 Graduation Divorced 43300 0 1 13-10-2012 87 91 3 52 2 1 31 3 4 0 4 8 0 0 0 0 0 0 3 11 1 +2157 1972 Graduation Together 26290 1 1 12-01-2013 49 15 8 16 11 5 22 4 2 0 4 6 0 0 0 0 0 0 3 11 0 +10133 1970 Graduation Single 93790 0 0 12-02-2014 16 1302 68 731 89 114 45 0 6 7 12 2 0 1 1 1 0 0 3 11 1 +2525 1974 PhD Married 38410 0 0 14-09-2012 65 153 64 123 116 64 14 2 5 2 9 6 0 0 0 0 0 0 3 11 1 +8233 1950 Master Widow 64866 0 1 26-01-2014 9 508 5 21 7 5 10 4 7 3 7 5 0 1 0 0 0 0 3 11 0 +9483 1959 Graduation Together 57957 0 1 19-08-2013 24 290 59 177 77 5 29 7 4 6 8 3 0 0 0 0 0 1 3 11 0 +2945 1955 PhD Together 46015 1 1 13-04-2014 25 38 0 2 0 0 6 1 1 0 3 7 1 0 0 0 1 0 3 11 0 +10403 1978 Graduation Together 16531 1 0 18-06-2014 43 2 13 6 7 5 11 3 3 0 3 7 0 0 0 0 0 0 3 11 0 +5074 1986 Master Married 28072 1 0 08-07-2013 10 30 0 10 2 0 5 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +10524 1963 Master Divorced 49476 0 1 20-06-2013 29 386 23 95 54 41 196 4 2 11 5 2 0 0 0 0 0 0 3 11 0 +4690 1953 Graduation Married 50725 0 1 13-02-2013 45 443 10 75 0 10 48 4 8 1 8 8 0 0 0 0 0 0 3 11 0 +7521 1952 Graduation Together 83844 0 0 12-05-2013 57 901 31 345 75 31 191 1 4 4 11 1 0 0 1 0 0 0 3 11 0 +7196 1950 PhD Married 41145 1 1 08-02-2014 20 9 0 3 0 0 1 1 0 0 3 3 0 0 0 0 0 0 3 11 0 +4406 1970 Graduation Together 67419 0 1 16-01-2013 29 846 84 352 91 56 42 4 9 4 8 5 0 0 0 0 0 0 3 11 0 +9672 1970 2n Cycle Married 23162 1 1 21-12-2013 82 8 3 9 19 4 22 3 1 1 3 6 0 0 0 0 0 0 3 11 0 +4864 1977 Graduation Married 34380 1 0 02-05-2013 68 72 7 58 13 1 24 4 4 1 3 8 0 0 0 0 0 0 3 11 0 +4706 1966 Graduation Single 34704 0 1 27-04-2013 65 29 0 5 0 1 5 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +4070 1969 PhD Married 94871 0 2 01-09-2012 99 169 24 553 188 0 144 1 8 5 4 7 0 1 1 0 0 0 3 11 1 +25 1958 Graduation Married 65148 0 1 16-11-2012 9 460 35 422 33 12 153 2 6 6 7 4 0 0 0 0 0 0 3 11 0 +3697 1954 Graduation Together 39898 0 1 12-02-2013 20 69 8 26 12 7 12 2 3 0 4 7 0 0 0 0 0 0 3 11 0 +217 1956 Master Single 64857 0 0 23-11-2012 78 556 14 717 210 0 43 1 7 5 10 4 0 0 0 0 0 0 3 11 0 +4220 1970 PhD Married 59892 0 1 02-11-2013 26 73 0 13 0 1 0 1 2 1 3 3 0 0 0 0 0 0 3 11 0 +5286 1987 Master Single 41020 0 0 28-10-2013 68 112 1 54 7 7 36 1 3 2 4 3 0 0 0 0 0 0 3 11 0 +9559 1961 PhD Married 57072 0 1 24-01-2014 79 944 0 60 0 0 30 2 7 5 13 5 1 0 0 0 0 0 3 11 0 +2849 1979 Graduation Single 60474 0 1 01-04-2013 25 265 199 303 234 9 170 7 10 2 12 7 0 0 0 0 0 0 3 11 0 +7787 1960 Graduation Together 62807 0 1 31-08-2012 83 526 28 135 10 21 99 3 5 3 12 5 0 0 0 0 0 0 3 11 0 +3102 1981 2n Cycle Together 19414 1 0 16-10-2013 32 2 3 12 3 5 7 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +5868 1980 Graduation Married 19107 1 0 22-08-2013 49 2 4 9 10 5 16 2 1 0 3 7 0 0 0 0 0 0 3 11 0 +8370 1976 2n Cycle Together 75484 0 1 02-08-2012 50 378 97 259 197 194 34 2 7 3 6 4 0 0 0 0 0 0 3 11 0 +9988 1976 Master Single 70379 0 1 03-03-2013 84 553 25 142 65 67 8 3 6 3 13 4 0 0 0 0 0 0 3 11 0 +2939 1970 Master Together 79419 0 0 22-06-2014 96 751 127 687 20 15 31 1 4 6 4 2 0 0 0 0 0 0 3 11 0 +5529 1946 PhD Together 64014 2 1 10-06-2014 56 406 0 30 0 0 8 7 8 2 5 7 0 0 0 1 0 0 3 11 0 +9743 1955 Graduation Married 76998 0 1 11-01-2013 85 1449 89 161 69 35 107 2 11 8 8 6 0 0 1 0 0 0 3 11 0 +5763 1972 Master Together 49854 1 0 10-11-2013 63 123 17 171 39 0 30 5 6 2 5 6 0 0 0 0 0 0 3 11 0 +3478 1971 PhD Married 60585 1 1 24-06-2013 17 267 42 309 55 42 21 10 7 4 9 5 0 0 0 0 0 0 3 11 1 +7494 1950 PhD Divorced 42873 1 1 21-01-2013 11 209 0 40 3 2 15 4 6 1 4 8 0 0 0 0 0 0 3 11 0 +1763 1988 Graduation Together 87679 0 0 27-07-2013 62 1259 172 815 97 148 33 1 7 11 10 4 1 0 1 1 0 0 3 11 1 +7250 1978 Graduation Together 57867 1 0 01-10-2013 48 344 35 178 15 23 17 7 7 2 9 6 0 0 0 0 0 0 3 11 0 +2005 1990 Graduation Married 35765 1 0 11-12-2013 86 22 3 30 0 5 15 2 2 0 4 6 0 0 0 0 0 0 3 11 0 +10770 1959 Graduation Married 65492 0 0 26-01-2014 73 247 161 295 210 85 47 2 4 7 13 2 0 0 0 0 0 0 3 11 0 +6885 1977 Graduation Divorced 32952 1 0 01-12-2013 36 38 0 12 3 1 1 1 2 0 3 7 0 0 0 0 0 0 3 11 0 +2072 1969 PhD Together 53374 0 1 16-08-2012 34 896 10 101 13 10 34 6 4 2 9 9 1 0 0 0 0 0 3 11 1 +9463 1959 Graduation Together 71706 0 1 13-11-2012 16 931 56 253 91 98 14 4 9 5 7 5 0 0 0 0 0 0 3 11 0 +6318 1988 Graduation Married 68487 0 0 13-01-2013 48 758 12 385 33 89 89 1 9 7 13 4 0 0 0 0 0 0 3 11 0 +4093 1975 Master Together 53253 1 1 11-02-2013 61 216 9 57 20 9 125 7 4 3 5 5 0 0 0 0 0 0 3 11 0 +5751 1973 2n Cycle Divorced 31163 1 0 13-02-2014 54 2 3 10 11 2 10 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +3340 1977 Graduation Married 42014 1 0 17-08-2012 56 244 15 108 4 15 50 6 7 1 6 8 0 0 0 0 0 0 3 11 1 +3594 1973 Master Married 54108 1 1 05-11-2012 74 539 6 91 8 6 97 13 8 2 9 8 0 0 0 0 0 0 3 11 0 +3584 1955 PhD Single 49667 0 0 20-08-2012 35 1181 26 120 17 13 39 2 5 10 5 8 1 0 0 0 0 0 3 11 1 +3643 1974 Master Married 63206 0 0 20-03-2014 65 750 8 125 11 8 26 1 4 3 6 2 0 0 1 0 0 0 3 11 0 +851 1972 Master Married 57136 1 1 09-07-2013 48 306 5 109 21 109 92 9 5 2 10 6 0 0 0 0 0 0 3 11 0 +7706 1975 2n Cycle Together 46772 0 1 07-11-2012 88 350 104 189 197 151 57 6 11 8 5 8 1 0 0 0 0 0 3 11 0 +3967 1971 PhD Married 78931 0 0 25-10-2013 19 331 197 170 58 152 35 1 2 8 13 1 0 0 0 0 0 0 3 11 0 +10128 1958 Graduation Together 53977 0 1 08-06-2013 21 620 16 165 0 24 82 5 5 5 12 5 0 0 0 0 0 0 3 11 0 +486 1988 Graduation Married 84219 0 0 02-02-2014 27 434 137 400 45 137 45 1 3 4 10 1 0 0 0 0 0 0 3 11 0 +9 1975 Master Single 46098 1 1 18-08-2012 86 57 0 27 0 0 36 4 3 2 2 8 0 0 0 0 0 0 3 11 0 +9451 1965 Graduation Married 73538 0 1 25-11-2012 92 811 76 428 99 137 107 3 10 4 9 7 0 0 0 0 0 0 3 11 0 +9264 1986 Graduation Married 79529 0 0 27-04-2014 1 423 42 706 73 197 197 1 4 8 9 2 0 0 0 0 0 0 3 11 0 +3865 1977 2n Cycle Together 20981 0 0 30-04-2013 14 2 12 10 6 13 30 1 3 1 2 8 0 0 0 0 0 0 3 11 1 +2853 1980 Graduation Single 51766 1 0 11-03-2014 74 60 51 87 6 20 51 2 4 2 4 5 0 0 0 0 0 0 3 11 0 +1490 1962 Graduation Married 55759 0 1 28-11-2012 84 675 0 85 10 7 77 5 10 3 8 8 0 0 0 0 0 0 3 11 0 +6310 1978 Graduation Married 33039 1 0 09-09-2013 4 30 8 12 8 8 12 1 2 0 4 5 0 0 0 0 0 0 3 11 0 +10380 1972 Master Married 37787 1 0 20-09-2013 50 40 1 40 4 3 18 1 3 0 3 8 0 0 0 0 0 0 3 11 0 +3887 1970 Graduation Single 27242 1 0 11-11-2012 2 3 17 26 20 1 39 2 2 0 3 9 0 0 0 0 0 0 3 11 1 +4278 1983 PhD Single 87188 0 0 03-06-2013 73 910 111 724 49 74 55 1 10 2 6 3 0 0 0 0 0 0 3 11 1 +8643 1971 Graduation Together 69930 0 0 26-05-2013 21 252 98 827 219 70 196 1 4 5 12 3 0 0 0 0 0 0 3 11 0 +1998 1976 Graduation Single 37697 1 0 07-02-2014 82 34 6 21 11 4 8 1 2 1 3 6 0 0 0 0 0 0 3 11 0 +10795 1973 PhD Married 37401 1 0 06-05-2014 14 19 3 19 3 1 3 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +11110 1973 Graduation Single 3502 1 0 13-04-2013 56 2 1 1 0 0 1 0 0 0 0 14 0 0 0 0 0 0 3 11 0 +2408 1976 Graduation Married 58597 1 1 20-11-2012 20 490 0 184 10 28 21 12 7 4 9 7 0 0 0 0 0 0 3 11 0 +202 1948 PhD Widow 82032 0 0 05-04-2014 54 332 194 377 149 125 57 0 4 6 7 1 0 0 0 0 0 0 3 11 0 +7998 1958 Graduation Together 28087 1 1 11-12-2012 77 53 8 17 13 0 21 3 2 2 2 7 0 0 0 0 0 0 3 11 0 +830 1987 PhD Single 74004 0 0 24-02-2014 5 784 48 560 42 176 48 1 4 6 4 3 0 0 1 1 0 0 3 11 1 +3536 1960 Graduation Together 19740 0 1 24-03-2013 65 7 11 3 10 4 20 2 1 1 3 5 0 0 0 0 0 0 3 11 0 +6050 1975 2n Cycle Married 57036 0 1 11-12-2012 33 1171 43 219 19 14 47 4 6 3 13 9 1 0 0 0 0 0 3 11 0 +125 1958 2n Cycle Together 53083 1 1 15-05-2013 65 215 7 33 3 0 13 6 5 1 5 7 0 1 0 0 0 0 3 11 0 +3463 1975 PhD Married 69283 0 1 14-06-2014 41 674 62 134 0 26 8 4 7 3 13 5 0 0 0 0 0 0 3 11 0 +2804 1975 Master Single 46098 1 1 18-08-2012 86 57 0 27 0 0 36 4 3 2 2 8 0 0 0 0 0 0 3 11 1 +3745 1988 2n Cycle Married 23331 1 0 04-09-2012 92 5 36 7 0 10 45 2 3 0 3 8 0 0 0 0 0 0 3 11 0 +9771 1988 2n Cycle Single 23331 1 0 05-10-2012 97 104 20 101 24 15 5 6 5 1 5 9 0 0 0 0 0 0 3 11 0 +451 1989 Graduation Single 9255 1 0 20-12-2013 91 9 0 7 2 0 4 1 1 1 2 8 0 0 0 0 0 0 3 11 0 +10530 1959 PhD Widow 67786 0 0 07-12-2013 0 431 82 441 80 20 102 1 3 6 6 1 0 0 0 0 0 0 3 11 1 +1079 1971 PhD Married 71969 0 1 16-10-2012 59 1000 0 76 0 0 10 3 3 4 9 8 0 1 0 0 0 0 3 11 0 +8920 1967 Master Single 59235 1 0 12-01-2013 4 448 40 469 80 0 91 3 11 2 12 7 0 0 0 0 0 0 3 11 0 +6678 1989 Graduation Together 31928 1 0 28-03-2014 5 33 4 24 4 2 5 2 3 0 4 7 0 0 0 0 0 0 3 11 0 +3852 1961 Master Together 74881 1 1 08-03-2013 48 505 72 270 36 27 54 4 9 2 12 5 0 0 0 0 0 0 3 11 0 +528 1978 Graduation Married 65819 0 0 29-11-2012 99 267 38 701 149 165 63 1 5 4 10 3 0 0 0 0 0 0 3 11 0 +73 1953 PhD Single 51411 1 2 26-05-2013 81 14 0 3 0 0 1 1 0 0 3 5 0 0 0 0 0 0 3 11 0 +5589 1964 Graduation Divorced 51983 0 1 31-08-2012 95 631 0 115 10 7 30 3 9 2 10 7 0 0 0 0 0 0 3 11 0 +10212 1986 Master Together 42386 1 0 13-01-2013 43 65 4 16 0 4 11 1 3 0 3 8 0 0 0 0 0 0 3 11 0 +6365 1987 2n Cycle Married 30390 0 0 02-09-2013 5 10 12 12 25 1 20 1 2 0 3 6 0 0 0 0 0 0 3 11 0 +5636 1963 Graduation Single 30983 0 0 09-11-2012 50 51 4 50 12 1 49 1 4 0 3 8 0 0 0 0 0 0 3 11 1 +591 1957 Graduation Widow 66033 0 1 20-01-2013 76 293 35 179 46 59 65 2 8 3 7 7 0 0 0 0 0 0 3 11 0 +2217 1975 2n Cycle Married 37284 1 1 29-03-2013 46 11 1 2 2 1 6 1 0 0 3 6 0 0 0 0 0 0 3 11 0 +2544 1951 Master Divorced 57530 0 1 12-10-2013 68 50 1 27 6 7 1 1 1 1 4 1 0 0 0 0 0 0 3 11 0 +7725 1965 2n Cycle Married 76800 0 0 08-03-2014 33 173 26 255 35 71 81 1 4 4 7 1 0 0 0 0 0 0 3 11 0 +8091 1956 Graduation Married 63943 0 1 02-09-2012 50 423 184 368 13 97 21 1 6 4 6 5 0 0 0 0 0 0 3 11 0 +7321 1962 Graduation Together 76081 0 0 23-05-2014 85 292 30 415 63 33 200 1 4 5 4 2 0 0 0 1 0 0 3 11 0 +5462 1974 Graduation Married 67445 0 1 12-08-2012 63 757 80 217 29 80 11 5 9 6 12 6 0 0 0 0 0 0 3 11 0 +7791 1967 Master Married 37054 1 1 15-09-2013 89 12 1 6 0 1 5 2 1 0 3 7 0 0 0 0 0 0 3 11 0 +955 1962 Master Together 47175 1 1 28-10-2012 81 167 2 44 6 2 19 7 4 2 4 8 1 0 0 0 0 0 3 11 1 +4037 1976 Graduation Divorced 31859 1 0 14-06-2013 77 3 1 3 8 0 5 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +6642 1961 Graduation Divorced 27215 2 1 23-01-2013 50 30 5 22 8 9 28 4 2 1 4 6 0 0 0 0 0 0 3 11 0 +2793 1976 PhD Divorced 70179 0 1 21-07-2013 10 532 88 168 69 44 133 3 7 3 13 5 0 0 0 0 0 0 3 11 0 +5424 1983 Graduation Married 39922 1 0 14-02-2013 30 29 12 59 19 1 36 2 3 0 4 8 0 0 0 0 0 0 3 11 0 +879 1976 Master Married 49681 0 2 04-11-2013 66 411 0 26 0 0 21 6 7 1 7 7 0 0 0 0 0 0 3 11 0 +9530 1988 Graduation Married 24645 1 0 01-11-2012 16 5 3 4 4 1 0 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +4828 1954 Graduation Divorced 79865 0 1 18-06-2014 12 71 99 278 185 121 38 1 5 10 5 1 0 0 0 0 0 0 3 11 0 +10699 1985 Graduation Married 44322 1 0 16-06-2014 30 46 0 40 3 0 3 2 3 0 3 8 0 0 0 0 0 0 3 11 0 +1497 1952 Graduation Single 47958 0 1 19-01-2013 8 268 11 88 15 3 22 2 6 3 5 5 0 0 0 0 0 0 3 11 0 +7476 1964 Master Single 63972 0 1 02-12-2012 93 928 63 254 0 12 12 4 5 4 10 4 0 1 0 0 0 0 3 11 0 +4390 1954 Graduation Together 75315 0 1 15-04-2014 14 459 15 171 142 23 31 2 5 4 12 2 0 0 0 0 0 0 3 11 0 +10478 1950 PhD Married 55517 1 1 27-09-2012 53 483 0 108 0 6 36 5 11 1 6 9 0 0 0 0 0 0 3 11 1 +1081 1957 PhD Married 75283 1 2 27-03-2013 26 733 9 180 12 19 66 11 6 3 5 4 0 0 0 0 0 0 3 11 0 +4261 1946 PhD Single 82800 0 0 24-11-2012 23 1006 22 115 59 68 45 1 7 6 12 3 0 0 1 1 0 0 3 11 1 +9916 1954 Graduation Married 38998 1 1 03-11-2012 92 34 1 14 0 0 5 3 2 0 3 8 0 0 0 0 0 1 3 11 0 +5350 1991 Master Single 90638 0 0 13-02-2014 29 1156 120 915 94 144 96 1 3 4 10 1 0 0 1 0 0 0 3 11 1 +8135 1986 Master Married 27161 1 0 28-10-2013 41 7 4 23 7 0 11 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +8685 1977 Graduation Married 42014 1 0 17-08-2012 56 244 15 108 4 15 50 6 7 1 6 8 0 0 0 0 0 0 3 11 1 +4967 1960 PhD Together 38201 0 1 29-03-2013 19 233 0 23 0 0 12 4 5 1 5 8 0 0 0 0 0 0 3 11 0 +2130 1982 Graduation Together 45203 2 0 23-03-2014 4 35 3 67 10 8 24 1 3 1 3 6 0 0 0 0 0 0 3 11 1 +9298 1947 PhD Together 81574 0 0 28-04-2014 89 1252 0 465 46 35 0 1 4 5 8 1 0 1 1 0 0 0 3 11 0 +8175 1992 Graduation Married 34935 0 0 21-06-2013 71 34 4 66 3 10 20 1 2 1 4 7 0 0 0 0 0 0 3 11 0 +6257 1976 Master Single 60482 0 1 23-01-2013 81 255 43 134 37 14 24 1 7 2 7 7 0 0 0 0 0 0 3 11 0 +3790 1956 Graduation Together 34633 2 1 23-01-2014 31 8 1 5 0 0 1 1 1 0 2 6 0 0 0 0 0 0 3 11 0 +9952 1947 Master Together 78093 0 0 11-12-2013 53 368 32 639 13 43 10 1 4 7 5 1 0 0 0 0 0 0 3 11 0 +3503 1950 Graduation Divorced 82460 0 0 02-12-2013 78 255 47 573 52 32 15 1 5 3 6 1 0 0 0 0 0 0 3 11 0 +5223 1966 Master Together 45903 0 1 23-04-2014 80 33 8 10 2 10 3 2 2 1 3 4 0 0 0 0 0 0 3 11 0 +4608 1987 Graduation Divorced 81361 0 0 25-02-2014 18 163 23 424 27 65 76 1 3 10 13 1 0 0 0 0 0 0 3 11 1 +1626 1973 PhD Divorced 35860 1 1 19-05-2014 37 15 0 8 4 2 20 2 1 1 2 5 1 0 0 0 0 0 3 11 1 +4764 1952 Master Together 40442 1 1 19-08-2012 52 45 12 52 25 22 13 4 3 1 4 7 0 0 0 0 0 0 3 11 1 +2471 1965 Graduation Married 61482 0 0 27-06-2014 39 48 58 68 16 66 43 1 3 2 6 2 0 0 0 0 0 0 3 11 0 +5892 1980 Graduation Married 34968 1 0 10-04-2013 11 158 6 45 8 2 2 7 3 2 5 7 0 0 0 0 0 0 3 11 0 +2612 1987 Graduation Married 75794 0 0 24-12-2013 33 754 160 625 63 32 48 1 7 5 12 3 0 0 0 1 0 0 3 11 0 +4971 1962 PhD Together 31497 0 1 06-12-2012 22 108 1 28 13 1 4 2 3 1 4 8 0 0 0 0 0 0 3 11 0 +5185 1955 Graduation Married 74268 0 0 14-02-2013 83 199 66 315 97 174 41 1 4 3 5 2 0 0 0 0 0 0 3 11 0 +10069 1988 Basic Together 13724 1 0 31-08-2012 43 2 7 5 2 15 27 1 2 0 2 9 1 0 0 0 0 0 3 11 0 +2262 1965 Master Together 45143 0 1 26-08-2013 74 202 5 74 11 5 14 3 6 1 5 7 0 0 0 0 0 0 3 11 0 +1131 1967 PhD Single 52569 0 1 05-04-2014 54 85 0 3 0 0 7 1 2 0 4 3 0 0 0 0 0 0 3 11 0 +1041 1973 PhD Single 48432 0 1 18-10-2012 3 322 3 50 4 3 42 5 7 1 6 8 0 0 0 0 0 0 3 11 1 +24 1960 Master Together 17144 1 1 15-02-2014 96 18 2 19 0 2 6 5 3 0 4 7 0 0 0 0 0 0 3 11 0 +3409 1984 Graduation Single 36108 1 0 15-10-2013 68 141 8 129 3 11 47 3 7 1 4 9 1 0 0 0 0 0 3 11 0 +7022 1971 Graduation Married 76445 1 0 28-09-2012 2 739 107 309 140 80 35 1 2 5 13 6 0 0 0 0 0 0 3 11 0 +7943 1975 PhD Married 36663 1 0 25-04-2014 40 18 0 6 3 3 5 1 1 1 3 2 0 0 0 0 0 0 3 11 0 +5272 1965 Master Married 53843 0 1 27-06-2013 64 378 0 88 19 4 73 4 8 5 3 7 0 0 0 0 0 0 3 11 0 +5453 1956 Master Married 90226 0 0 26-09-2012 26 1083 108 649 253 151 108 1 4 7 12 2 0 0 0 1 0 0 3 11 0 +2565 1955 Master Divorced 70638 0 0 01-06-2013 69 1016 12 215 16 12 63 1 4 5 10 3 0 1 0 0 0 0 3 11 0 +800 1960 Graduation Together 44512 1 1 30-08-2013 57 23 1 6 0 0 2 2 1 0 3 4 0 0 0 0 0 0 3 11 0 +11092 1961 Graduation Married 27116 1 1 02-03-2014 78 12 1 21 2 2 3 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +5062 1963 PhD Married 54072 1 1 27-07-2013 71 35 0 4 0 0 0 1 2 0 2 8 0 0 0 0 0 0 3 11 0 +8969 1977 Graduation Married 71855 0 1 16-01-2013 59 548 31 422 0 112 28 4 5 5 11 3 0 0 0 0 0 0 3 11 0 +4656 1990 2n Cycle Single 51250 1 0 30-03-2013 28 342 32 230 34 32 40 5 10 5 4 9 1 0 0 0 0 0 3 11 0 +4480 1973 Master Married 60432 0 1 09-03-2014 61 365 3 15 4 3 11 5 7 2 5 6 0 0 0 0 0 0 3 11 0 +9971 1964 PhD Married 65526 0 1 11-04-2014 22 397 19 69 12 0 9 1 4 4 8 2 0 0 0 0 0 0 3 11 0 +6729 1988 Graduation Single 68655 0 0 10-08-2012 95 456 19 832 75 118 38 1 4 5 11 3 0 0 0 0 0 0 3 11 0 +1773 1978 2n Cycle Married 12393 0 0 04-12-2012 38 5 6 15 11 7 13 1 2 0 3 9 0 0 0 0 0 0 3 11 0 +9242 1990 Graduation Single 64509 0 0 17-08-2013 19 836 185 575 24 25 77 1 6 3 9 4 1 0 0 0 0 0 3 11 1 +1764 1975 Graduation Single 33955 1 0 09-08-2013 92 100 2 128 23 7 10 4 5 1 5 8 0 0 0 0 0 0 3 11 0 +6215 1977 Graduation Married 31353 1 1 29-12-2013 24 10 0 10 3 1 7 2 1 1 2 8 0 0 0 0 0 0 3 11 1 +10099 1984 Graduation Married 55434 1 0 05-10-2013 21 238 115 215 169 69 76 3 5 3 13 4 0 0 0 0 0 0 3 11 0 +5423 1983 Graduation Together 28359 1 0 27-10-2013 35 6 0 5 2 1 2 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +940 1987 Graduation Single 57100 1 0 18-05-2014 9 158 11 99 15 11 17 2 3 2 7 3 0 0 0 0 0 0 3 11 0 +3011 1965 Graduation Married 69139 0 1 27-01-2014 23 86 12 75 33 15 6 1 4 1 5 4 0 0 0 0 0 0 3 11 0 +3298 1956 Master Married 52973 0 1 08-11-2012 92 856 0 76 12 9 199 7 9 6 9 8 0 0 0 0 0 0 3 11 0 +8286 1965 PhD Together 51717 0 1 20-08-2013 55 98 1 17 0 1 5 1 3 0 4 7 0 1 0 0 0 0 3 11 0 +9668 1971 Graduation Married 18793 1 0 12-01-2013 14 4 16 20 0 17 20 3 2 0 4 8 0 0 0 0 0 0 3 11 0 +5120 1982 2n Cycle Together 66664 0 0 25-09-2012 78 398 96 447 220 96 32 1 5 7 6 3 0 0 0 0 0 0 3 11 0 +6097 1959 Graduation Single 50664 1 1 16-01-2013 64 313 8 104 6 4 126 9 8 1 6 9 0 0 0 0 0 0 3 11 0 +7019 1963 Graduation Together 54414 1 1 23-01-2013 49 109 18 16 24 26 18 4 3 1 5 4 0 0 0 0 0 0 3 11 0 +7408 1952 PhD Married 54549 0 1 03-03-2014 8 216 2 6 0 0 9 2 5 1 4 7 0 0 0 0 0 0 3 11 0 +8041 1971 PhD Widow 47111 0 1 08-09-2012 35 595 71 153 120 112 41 6 3 2 10 9 0 0 0 0 0 0 3 11 0 +252 1963 PhD Divorced 41003 0 0 17-03-2013 11 123 133 142 71 44 88 1 6 2 8 6 0 0 0 0 0 0 3 11 0 +9986 1982 Graduation Together 19444 1 0 22-02-2014 8 16 0 23 3 2 10 3 4 1 2 7 0 0 0 0 0 0 3 11 1 +3276 1976 2n Cycle Together 36301 1 0 25-10-2013 53 11 12 35 3 5 12 1 3 0 3 7 0 0 0 0 0 0 3 11 0 +3859 1947 PhD Together 73059 0 1 31-08-2013 36 410 112 420 0 82 71 1 9 3 13 4 0 0 0 0 0 0 3 11 0 +3570 1969 PhD Together 42731 1 0 21-10-2013 64 159 2 51 6 2 24 3 4 1 5 5 0 0 0 0 0 0 3 11 0 +3783 1959 PhD Married 52854 1 1 24-03-2014 43 105 0 10 0 1 0 2 2 1 4 5 0 0 0 0 0 0 3 11 0 +10207 1978 Graduation Together 22775 1 0 19-06-2013 40 5 1 8 0 0 1 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +10906 1948 PhD Together 46681 0 2 08-10-2013 52 269 15 69 15 19 38 2 4 6 4 5 0 0 0 0 0 0 3 11 0 +3427 1955 PhD Married 59821 0 1 12-04-2013 11 629 0 70 0 0 35 6 11 2 7 8 0 0 0 0 0 0 3 11 0 +5209 1954 Graduation Divorced 50002 0 1 17-06-2013 21 443 5 71 21 16 82 2 8 2 7 7 0 0 0 0 0 0 3 11 0 +10711 1945 Graduation Married 69755 0 0 02-10-2013 23 217 77 373 111 23 93 1 3 6 12 1 0 0 0 0 0 0 3 11 0 +10785 1969 Graduation Married 44078 1 1 19-06-2014 17 24 1 10 2 0 4 2 2 0 3 5 0 0 0 0 0 0 3 11 0 +2814 1976 Master Together 30560 1 0 27-06-2013 6 9 1 5 4 5 7 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +6866 1969 Master Together 35924 1 1 23-03-2014 56 8 0 14 2 3 7 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +1665 1964 PhD Divorced 64140 0 2 23-09-2013 71 1459 0 61 0 15 215 5 2 5 6 5 1 0 1 0 1 0 3 11 1 +6575 1981 Graduation Together 56386 1 1 27-10-2012 51 230 48 214 13 32 75 8 9 1 7 9 0 0 0 0 0 0 3 11 0 +3829 1979 Basic Together 24594 1 0 10-12-2013 94 1 3 6 10 0 9 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +3091 1981 2n Cycle Together 75774 1 0 02-05-2014 27 340 21 134 258 14 56 1 7 5 8 4 0 0 0 0 0 0 3 11 0 +10141 1960 Master Divorced 39228 0 0 10-05-2013 1 7 1 6 0 3 3 1 0 0 3 4 0 0 0 0 0 0 3 11 0 +5177 1974 Master Married 58494 0 1 12-12-2013 56 298 7 68 4 0 19 2 6 2 6 6 0 0 0 0 0 0 3 11 0 +7005 1981 Graduation Single 58684 0 0 16-06-2014 71 479 35 179 28 7 85 1 5 3 12 2 0 1 0 0 0 0 3 11 0 +6409 1967 Graduation Divorced 57136 0 0 18-05-2013 18 267 140 599 34 12 127 1 7 5 7 6 0 0 0 0 0 0 3 11 1 +7485 1950 PhD Widow 56551 1 1 07-05-2014 48 67 4 32 17 2 16 3 2 1 4 4 0 0 0 0 0 0 3 11 0 +8079 1982 Graduation Married 22448 1 0 26-02-2014 86 3 1 8 23 2 18 3 2 1 3 3 0 0 0 0 0 0 3 11 0 +8395 1961 Graduation Single 82014 0 0 20-08-2012 48 980 37 265 35 163 31 1 3 6 12 6 0 0 0 0 0 0 3 11 1 +10352 1963 Graduation Widow 34213 1 1 07-09-2012 2 50 4 28 6 3 26 3 3 1 2 9 0 0 0 0 0 0 3 11 1 +4931 1977 Graduation Together 157146 0 0 29-04-2013 13 1 0 1725 2 1 1 0 0 28 0 1 0 0 0 0 0 0 3 11 0 +13 1947 PhD Widow 25358 0 1 22-07-2013 57 19 0 5 0 0 8 2 1 0 3 6 0 0 0 0 0 0 3 11 0 +1834 1978 Master Single 35544 1 0 08-03-2014 77 30 5 23 4 1 4 1 2 0 3 7 0 0 0 0 0 0 3 11 0 +2285 1954 Master Together 36634 0 1 28-05-2013 0 213 9 76 4 3 30 3 5 2 5 7 0 0 0 0 0 0 3 11 0 +2295 1954 PhD Married 62670 0 1 02-02-2014 57 539 30 92 80 46 38 1 5 3 13 3 0 0 0 0 0 0 3 11 0 +1378 1972 2n Cycle Together 50334 0 1 24-07-2013 24 284 16 160 84 16 134 6 7 4 6 6 0 0 0 0 0 0 3 11 0 +2781 1981 Graduation Single 72066 0 0 23-06-2014 55 1003 34 536 134 51 34 1 4 6 6 2 0 0 1 1 0 0 3 11 1 +1165 1958 PhD Single 50729 1 1 02-05-2013 62 239 13 143 45 4 52 9 6 2 7 6 0 0 0 0 0 0 3 11 0 +1404 1968 Graduation Together 34916 2 0 15-05-2013 89 51 23 82 33 0 42 4 5 1 3 9 0 0 0 0 0 0 3 11 0 +6457 1976 Graduation Divorced 64892 0 1 29-05-2014 77 527 24 230 32 24 65 2 6 4 12 4 0 0 0 0 0 0 3 11 0 +2639 1966 Graduation Single 43602 1 1 10-01-2014 45 19 5 12 10 3 19 3 3 1 2 6 0 0 0 0 0 0 3 11 0 +8299 1989 PhD Single 33996 0 0 11-09-2013 46 40 2 15 8 0 6 1 1 1 3 4 0 0 0 0 0 0 3 11 0 +6437 1985 2n Cycle Single 41473 1 0 19-06-2013 80 21 8 20 15 3 9 1 2 0 3 7 0 0 0 0 0 0 3 11 0 +6912 1967 PhD Married 63246 0 2 20-08-2013 60 593 30 91 29 22 7 1 6 3 12 4 0 0 0 0 0 0 3 11 0 +7327 1959 PhD Married 36732 1 1 29-12-2013 71 21 5 3 10 1 7 3 1 1 4 2 0 0 0 0 0 0 3 11 0 +5299 1970 PhD Married 69084 1 0 19-11-2013 43 1181 107 199 39 30 30 2 7 3 13 8 0 0 0 0 0 0 3 11 0 +4127 1967 PhD Married 77766 0 1 22-02-2013 97 1004 59 265 115 59 27 2 11 10 11 6 1 0 0 0 0 0 3 11 1 +8143 1985 PhD Single 37929 0 0 30-07-2013 49 202 2 46 3 2 10 2 4 2 5 7 0 1 0 1 0 0 3 11 1 +1964 1951 Graduation Together 86610 0 0 05-09-2013 66 446 107 768 33 196 53 1 5 6 6 2 0 0 0 0 0 0 3 11 0 +3690 1986 Master Married 80141 0 0 11-01-2013 20 1184 102 673 52 40 40 1 7 4 10 6 0 0 1 0 0 0 3 11 1 +3433 1955 2n Cycle Married 72635 0 0 03-06-2013 54 390 22 323 104 35 107 1 6 8 6 3 0 0 0 1 0 0 3 11 0 +3389 1970 Graduation Married 69016 0 1 22-11-2012 61 726 53 363 123 107 161 4 8 9 13 5 0 0 0 0 0 0 3 11 0 +4712 1991 2n Cycle Together 20193 0 0 28-11-2012 18 8 8 22 24 11 9 1 1 1 4 4 0 0 0 0 0 0 3 11 0 +1170 1975 Graduation Married 27573 1 0 25-03-2013 45 50 15 110 39 15 15 4 5 1 4 8 0 0 0 0 0 0 3 11 0 +6347 1979 Basic Single 15862 1 0 27-06-2013 26 1 1 4 11 9 10 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +4065 1976 PhD Married 49544 1 0 12-02-2013 0 308 0 73 0 0 23 2 5 1 8 7 0 0 0 0 0 0 3 11 0 +8230 1980 Graduation Married 33228 1 0 23-01-2014 28 22 2 31 7 4 5 1 2 0 3 7 0 0 0 0 0 0 3 11 0 +1215 1978 Graduation Together 70440 0 0 08-10-2013 49 690 117 499 76 102 88 1 5 10 7 3 0 0 0 1 0 0 3 11 0 +5939 1971 Graduation Together 38232 1 1 17-01-2014 84 43 5 28 7 6 33 4 3 1 3 5 0 0 0 0 0 0 3 11 0 +2156 1955 PhD Married 22554 1 1 03-11-2012 38 27 0 10 0 0 4 4 2 0 4 5 0 0 0 0 0 0 3 11 0 +7788 1983 PhD Married 23536 1 0 04-06-2014 53 6 0 3 0 0 1 1 0 0 3 3 0 0 0 0 0 0 3 11 0 +10323 1952 Graduation Married 49413 0 1 25-10-2013 88 205 7 41 3 2 46 2 4 2 5 5 0 0 0 0 0 0 3 11 0 +7947 1969 Graduation Married 42231 1 1 25-03-2014 99 24 0 8 0 1 4 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +1891 1980 Master Divorced 78789 0 0 08-08-2012 12 667 50 850 21 83 83 1 4 6 5 2 0 0 0 0 0 0 3 11 1 +2570 1968 Graduation Together 56534 0 1 23-07-2013 35 691 7 61 10 0 46 4 10 4 7 8 0 1 0 0 1 0 3 11 1 +9256 1971 Graduation Single 58350 0 1 04-01-2013 5 493 26 206 116 80 80 4 8 3 12 6 0 0 0 0 0 0 3 11 0 +295 1989 Graduation Single 81217 0 0 19-07-2013 77 493 70 324 146 40 84 1 3 7 11 1 0 0 0 0 0 0 3 11 0 +7397 1951 Graduation Single 49090 0 1 19-07-2013 45 494 5 82 7 0 100 3 7 2 9 7 0 0 0 0 0 0 3 11 0 +6349 1987 Master Divorced 61787 0 0 06-07-2013 71 621 73 414 78 48 85 1 8 4 6 5 0 0 0 0 0 0 3 11 0 +10790 1985 PhD Married 18169 1 0 19-02-2013 40 9 0 5 0 0 7 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +10398 1981 2n Cycle Single 24336 1 0 27-08-2012 82 1 6 2 8 2 12 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +2431 1990 Graduation Married 18222 0 0 31-12-2012 70 12 4 19 12 6 14 1 2 0 3 8 0 0 0 0 0 0 3 11 0 +550 1952 Graduation Divorced 62335 0 1 23-05-2013 87 243 131 217 85 6 26 2 3 3 13 2 0 0 0 0 0 0 3 11 0 +1890 1971 2n Cycle Together 42033 1 1 19-09-2012 95 11 1 4 2 0 7 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +10742 1983 PhD Married 86580 0 0 27-02-2013 72 532 21 127 26 20 20 0 4 2 5 1 0 0 1 0 0 0 3 11 0 +10356 1957 PhD Divorced 41437 1 1 22-09-2012 5 29 0 2 0 0 1 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +4676 1951 Master Widow 73705 0 2 05-03-2014 86 612 91 520 258 107 107 2 9 6 8 5 0 0 0 0 0 0 3 11 0 +8852 1976 Graduation Married 61064 0 1 31-08-2012 80 387 126 342 0 45 180 5 8 4 11 6 0 0 0 0 0 0 3 11 0 +3565 1955 Master Married 38452 1 1 30-03-2014 62 56 0 14 0 0 2 3 3 0 3 7 0 0 0 0 0 0 3 11 0 +5294 1989 Graduation Single 18358 1 0 20-11-2013 49 6 8 19 16 4 4 3 3 0 4 7 0 0 0 0 0 0 3 11 0 +1958 1973 PhD Together 55012 0 1 21-03-2014 85 582 0 65 0 0 13 6 8 2 9 5 0 0 0 0 0 0 3 11 0 +7349 1973 Basic Together 9722 1 0 02-10-2012 7 6 17 16 6 16 42 4 3 1 3 8 0 0 0 0 0 0 3 11 1 +8799 1984 PhD Married 38175 1 0 23-09-2013 6 70 6 69 2 3 3 3 3 1 4 7 0 0 0 0 0 0 3 11 0 +1351 1956 Master Together 58656 0 1 20-09-2012 25 962 12 194 16 24 12 4 7 8 13 6 0 0 1 0 0 0 3 11 0 +1045 1965 Graduation Together 52117 0 1 16-08-2012 55 112 10 107 30 0 20 2 5 2 4 7 0 0 0 0 0 0 3 11 0 +7732 1978 Graduation Married 64813 1 0 02-01-2014 81 293 0 124 179 97 52 1 7 2 10 5 0 0 0 0 0 0 3 11 0 +8070 1973 PhD Married 54222 0 1 01-03-2014 98 199 12 31 3 12 7 1 3 3 5 3 0 0 0 0 0 0 3 11 0 +477 1986 Graduation Married 83512 0 0 17-06-2014 31 1060 61 835 80 20 101 1 4 7 10 1 1 0 1 1 1 0 3 11 1 +7832 1959 Master Married 77520 0 1 28-08-2013 30 940 44 396 0 88 58 1 8 7 7 4 1 0 1 1 0 0 3 11 1 +2202 1978 Graduation Together 41154 0 1 09-04-2013 98 44 2 11 2 3 7 1 1 0 4 5 0 0 0 0 0 0 3 11 0 +7396 1966 Graduation Married 80398 0 0 10-11-2012 92 342 51 936 207 35 26 1 5 8 12 3 0 0 1 0 0 0 3 11 0 +4055 1992 Basic Single 18746 1 0 29-05-2014 41 2 10 11 12 9 20 2 3 0 3 6 0 0 0 0 0 0 3 11 0 +10340 1984 Graduation Together 35196 1 0 13-11-2012 68 75 12 141 43 39 187 6 6 1 5 8 0 0 0 0 0 0 3 11 0 +10091 1956 Graduation Single 60230 0 1 20-05-2013 78 520 20 367 39 81 40 2 6 3 6 5 0 0 0 0 0 0 3 11 0 +7629 1977 Graduation Married 22108 1 1 08-05-2014 46 5 3 9 6 2 6 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +10640 1974 Graduation Together 44392 1 1 05-09-2013 71 87 5 71 7 12 29 5 4 1 4 7 0 0 0 0 0 0 3 11 0 +3498 1976 PhD Married 55424 0 1 25-11-2012 6 462 61 184 10 53 107 4 7 5 9 6 1 0 0 0 0 0 3 11 1 +6742 1979 Graduation Married 17688 1 0 13-01-2013 82 2 2 1 3 1 2 1 1 0 2 8 0 0 0 0 0 1 3 11 0 +1172 1983 PhD Married 92491 0 0 01-05-2013 71 979 44 935 29 25 22 1 7 5 12 3 0 1 1 1 0 0 3 11 1 +569 1991 Graduation Single 90273 0 0 14-12-2013 32 704 129 853 120 74 111 1 5 6 7 2 0 1 1 1 0 0 3 11 1 +4686 1962 PhD Widow 82571 0 0 02-04-2014 28 861 31 558 62 95 79 0 6 5 13 2 0 0 1 0 0 0 3 11 0 +1381 1982 PhD Single 38513 1 0 28-01-2014 20 172 3 115 16 0 18 5 6 1 5 8 0 0 0 0 0 0 3 11 1 +2634 1979 Master Single 16653 1 0 18-04-2014 10 5 7 31 15 4 7 3 2 1 3 6 0 0 0 0 0 0 3 11 1 +10905 1955 Graduation Together 42586 1 1 29-10-2012 7 194 2 56 0 0 0 5 4 1 6 8 0 0 0 0 0 0 3 11 1 +1744 1965 Basic Single 23529 0 1 07-01-2013 67 9 7 13 3 2 20 1 1 1 2 6 0 0 0 0 0 0 3 11 0 +1000 1961 Master Together 74881 1 1 08-03-2013 48 505 72 270 36 27 54 4 9 2 12 5 0 0 0 0 0 0 3 11 0 +3828 1951 Graduation Married 71107 0 1 17-02-2013 61 533 10 217 198 174 195 2 7 6 13 4 0 0 0 0 0 0 3 11 0 +8605 1964 PhD Together 46910 1 1 23-03-2014 36 48 0 14 0 0 6 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +10304 1959 Graduation Married 18690 0 0 28-12-2012 77 6 1 7 23 4 19 1 1 1 2 8 0 0 0 0 0 0 3 11 0 +4351 1955 Graduation Divorced 37244 1 1 27-04-2013 90 18 2 10 0 0 25 1 1 1 2 7 1 0 0 0 0 0 3 11 0 +10129 1966 Graduation Together 82427 0 0 12-03-2014 35 482 147 509 104 107 107 1 3 5 12 1 0 0 1 0 0 0 3 11 0 +2499 1958 2n Cycle Single 75342 0 1 06-05-2013 38 204 97 97 21 118 26 1 5 2 10 4 0 0 0 0 0 0 3 11 0 +10092 1954 Graduation Divorced 70044 0 1 18-02-2013 46 1073 0 250 153 14 14 4 7 10 5 5 0 0 0 0 0 0 3 11 0 +7500 1967 Graduation Single 79146 1 1 24-04-2014 33 245 16 223 21 43 16 2 8 1 8 6 0 0 0 0 0 0 3 11 0 +5796 1963 Graduation Married 77437 0 0 26-11-2013 70 560 21 442 29 44 29 1 4 5 13 1 0 0 1 0 0 0 3 11 0 +10556 1959 Graduation Married 54984 0 1 24-05-2014 51 173 13 131 32 3 6 4 6 1 6 7 0 0 0 1 0 0 3 11 0 +1064 1971 PhD Married 42403 1 0 11-12-2013 18 22 1 11 0 5 3 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +48 1964 Graduation Together 55761 0 1 24-04-2014 97 136 1 12 0 3 32 2 4 1 3 6 0 1 0 0 0 0 3 11 0 +7610 1983 Graduation Together 37292 1 0 18-04-2013 32 275 0 86 10 23 66 5 6 3 5 8 0 0 0 0 0 0 3 11 0 +263 1945 PhD Single 45576 0 0 28-05-2014 9 56 19 29 2 14 25 1 3 1 3 8 0 0 0 0 0 0 3 11 1 +10814 1947 Graduation Together 70321 0 0 16-01-2013 6 303 23 751 82 26 191 1 6 5 13 4 0 0 0 0 0 0 3 11 1 +9710 1969 PhD Divorced 58086 0 1 20-01-2013 80 708 7 62 0 0 15 2 11 3 7 8 0 0 0 0 0 0 3 11 0 +9292 1952 Graduation Married 81795 0 0 26-10-2012 74 324 132 693 27 118 88 1 4 11 7 2 0 0 0 0 0 0 3 11 0 +10250 1947 Basic Together 28389 0 0 20-11-2012 49 1 5 3 7 4 8 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +7881 1946 Master Married 66835 0 0 28-09-2013 21 620 26 195 34 17 141 1 6 4 13 2 0 0 0 0 0 0 3 11 0 +5847 1969 Graduation Divorced 69901 0 1 29-05-2013 95 312 21 206 102 92 149 3 7 3 10 5 0 0 0 0 0 0 3 11 0 +737 1949 PhD Married 80360 0 0 03-03-2013 56 1493 86 454 112 43 43 2 4 4 5 2 0 1 1 1 0 0 3 11 0 +3571 1961 PhD Together 63342 0 1 16-10-2012 48 918 21 118 13 10 21 3 8 3 5 6 0 1 0 0 0 0 3 11 1 +7807 1974 Graduation Married 44989 0 1 12-09-2012 26 98 0 106 49 10 106 5 5 1 5 6 0 0 0 0 0 0 3 11 0 +3878 1980 2n Cycle Single 31859 1 0 27-02-2014 3 3 4 7 15 8 11 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +5092 1949 PhD Widow 51569 0 1 12-02-2013 39 380 0 47 6 0 34 4 7 1 7 8 0 1 0 0 0 0 3 11 1 +2154 1971 Graduation Widow 30372 1 1 25-12-2012 33 15 0 12 7 3 7 3 2 0 3 7 0 0 0 0 0 0 3 11 0 +5394 1979 Basic Single 16014 1 1 17-03-2013 42 3 9 4 7 8 7 4 1 1 4 3 0 0 0 0 0 0 3 11 0 +3798 1968 Graduation Married 41120 1 1 06-11-2013 80 24 2 23 0 8 24 3 2 1 3 6 0 0 0 0 0 0 3 11 0 +3524 1971 Master Single 39763 1 0 04-08-2013 9 80 1 60 4 6 16 2 5 1 2 9 0 0 0 0 0 0 3 11 1 +5247 1955 PhD Married 38725 1 1 10-05-2014 52 31 0 6 2 1 5 2 1 0 4 4 0 0 0 0 0 0 3 11 0 +5883 1972 Graduation Married 77981 1 0 26-05-2013 78 138 120 204 16 126 60 3 7 4 7 5 0 0 0 0 0 0 3 11 0 +2118 1964 2n Cycle Married 62905 0 1 10-09-2013 68 166 75 96 119 107 59 3 7 2 8 4 0 0 0 0 0 0 3 11 0 +8812 1979 2n Cycle Divorced 13533 1 0 10-03-2013 45 12 3 8 8 0 17 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +6616 1975 Graduation Together 59481 0 1 23-10-2013 47 178 3 85 71 66 58 2 3 3 8 2 0 0 0 0 0 0 3 11 0 +2797 1977 Graduation Married 72117 0 1 20-08-2013 34 707 20 171 65 60 50 1 9 7 9 5 0 0 0 0 0 0 3 11 0 +4328 1986 2n Cycle Married 21955 1 0 07-09-2013 81 5 1 7 17 14 11 2 2 1 3 6 0 0 0 0 0 0 3 11 0 +9167 1956 Graduation Married 67131 0 1 26-03-2013 72 465 71 250 93 35 62 3 9 2 12 6 0 0 0 0 0 0 3 11 0 +10560 1980 PhD Single 36802 1 0 16-06-2014 23 16 1 2 0 0 1 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +2631 1982 Graduation Together 71853 0 0 08-05-2013 29 358 108 413 141 97 32 1 2 8 6 1 0 0 0 0 0 0 3 11 0 +8312 1961 Basic Married 28249 0 0 15-06-2014 80 1 9 7 2 14 10 1 2 0 3 6 0 0 0 0 0 0 3 11 0 +5534 1975 Master Married 47808 0 1 20-10-2013 30 123 1 26 2 0 72 2 3 2 3 7 1 0 0 0 0 0 3 11 0 +5093 1974 PhD Divorced 25509 1 0 18-09-2012 15 40 3 30 10 7 11 3 3 0 3 9 0 0 0 0 0 0 3 11 1 +7592 1946 PhD Married 51012 0 0 18-04-2013 86 102 9 63 2 9 24 1 4 1 4 6 0 0 0 0 0 0 3 11 0 +8895 1985 Graduation Single 70596 0 0 05-10-2012 68 347 44 534 17 0 26 1 3 5 12 2 0 0 0 0 0 0 3 11 0 +8584 1952 PhD Together 85431 0 0 08-06-2013 54 376 53 462 168 53 53 1 2 7 7 0 0 0 0 0 0 0 3 11 0 +2694 1967 Graduation Married 42664 0 1 18-03-2014 44 21 0 3 0 0 0 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +8910 1955 Graduation Together 42586 1 1 29-10-2012 7 194 2 56 0 0 0 5 4 1 6 8 0 0 0 0 0 0 3 11 1 +7433 1985 Graduation Single 29760 1 0 29-08-2012 87 64 4 68 7 5 17 4 3 1 4 8 0 0 0 0 0 0 3 11 0 +164 1977 PhD Married 28973 0 0 13-10-2012 59 206 0 46 3 2 12 2 5 1 5 8 0 0 0 0 0 0 3 11 0 +10477 1973 PhD Together 39435 1 0 06-08-2013 16 71 0 18 0 0 13 1 3 1 2 7 0 0 0 0 0 0 3 11 0 +2681 1984 2n Cycle Married 65370 0 0 01-08-2013 1 71 22 112 138 89 29 1 2 3 13 1 0 0 0 0 0 0 3 11 0 +5150 1979 Basic Single 20194 1 0 17-12-2012 64 0 4 7 11 10 15 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +5283 1976 PhD Single 42473 1 1 17-02-2014 72 93 1 21 0 4 25 3 2 1 4 5 0 0 0 0 0 0 3 11 0 +9645 1968 Graduation Married 64590 0 0 14-10-2012 98 920 138 168 36 46 30 1 9 4 10 6 0 0 0 0 0 0 3 11 0 +10678 1959 Graduation Together 71232 0 1 28-11-2013 91 653 17 170 34 26 17 2 11 2 10 7 0 0 0 0 0 0 3 11 0 +7261 1971 Graduation Together 34600 1 1 01-01-2013 8 199 33 60 8 3 15 5 5 2 5 8 0 0 0 0 0 0 3 11 1 +9648 1967 Graduation Single 46904 1 1 03-11-2012 20 153 4 56 0 9 31 4 5 1 4 8 0 0 0 0 0 0 3 11 0 +2870 1973 Graduation Married 49094 0 1 21-09-2012 6 376 0 38 11 8 69 5 6 3 6 6 0 0 0 0 0 0 3 11 0 +8008 1983 Graduation Together 36075 1 0 09-12-2013 54 46 0 30 12 1 30 1 2 0 4 6 0 0 0 0 0 0 3 11 0 +1513 1979 2n Cycle Together 60839 1 1 28-08-2012 72 600 21 128 223 150 128 13 2 2 12 8 0 0 0 0 0 0 3 11 0 +6173 1979 Graduation Together 77298 0 1 02-11-2013 46 425 115 292 23 35 79 1 6 6 11 3 0 0 0 0 0 0 3 11 0 +1419 1950 Graduation Together 34026 1 1 05-08-2013 11 18 6 15 12 8 17 3 2 1 3 5 0 0 0 0 0 0 3 11 0 +9150 1963 PhD Single 48918 1 1 12-04-2014 21 52 0 9 0 0 1 2 1 0 4 4 0 0 0 0 0 0 3 11 0 +7960 1962 2n Cycle Together 82122 0 0 15-08-2013 89 734 22 350 151 25 100 1 3 9 13 1 0 0 1 0 0 0 3 11 0 +1250 1976 Graduation Single 37697 1 0 07-02-2014 82 34 6 21 11 4 8 1 2 1 3 6 0 0 0 0 0 0 3 11 0 +9905 1952 Graduation Together 34074 1 1 13-07-2013 69 135 1 41 10 1 67 5 3 3 3 6 1 0 0 0 0 0 3 11 0 +10691 1960 Master Married 28520 1 1 14-06-2013 55 11 0 10 0 2 20 1 1 1 2 6 0 0 0 0 0 0 3 11 0 +7002 1955 Graduation Single 62535 0 1 03-10-2013 13 163 48 90 0 45 52 1 3 2 8 3 0 0 0 0 0 0 3 11 0 +2952 1977 Master Single 36273 1 0 16-04-2014 80 29 3 30 3 2 9 2 3 0 3 6 0 0 0 0 0 0 3 11 0 +8439 1964 Graduation Together 63404 0 2 06-06-2014 97 734 26 70 11 44 17 2 6 3 4 4 0 0 0 1 0 0 3 11 0 +762 1981 2n Cycle Together 75774 1 0 02-05-2014 27 340 21 134 258 14 56 1 7 5 8 4 0 0 0 0 0 0 3 11 0 +2831 1976 Graduation Together 78416 0 1 27-06-2014 99 453 38 279 188 38 183 2 7 7 10 3 0 0 0 0 0 0 3 11 0 +6977 1974 Graduation Together 75702 0 1 14-10-2012 87 1073 0 629 145 37 37 1 10 5 13 6 0 0 1 0 0 0 3 11 0 +6289 1951 Master Together 59385 1 1 28-04-2013 85 135 0 10 0 4 36 2 3 1 4 5 0 0 0 0 0 0 3 11 0 +4168 1966 Graduation Single 37070 1 1 20-03-2013 30 231 7 137 4 15 39 9 5 1 8 7 0 0 0 0 0 0 3 11 1 +8397 1951 Graduation Married 44689 1 1 10-01-2014 82 18 0 5 0 0 11 2 1 1 2 7 1 0 0 0 0 0 3 11 0 +9284 1958 Graduation Together 53977 0 1 08-06-2013 21 620 16 165 0 24 82 5 5 5 12 5 0 0 0 0 0 0 3 11 0 +6237 1966 PhD Single 7144 0 2 07-12-2013 92 81 4 33 5 2 291 0 23 1 1 0 0 0 0 0 0 0 3 11 0 +3130 1964 Graduation Single 18701 1 1 04-06-2013 95 12 4 2 10 6 10 4 2 0 4 5 0 0 0 0 0 0 3 11 0 +1619 1956 Graduation Married 90369 0 0 28-04-2014 2 292 51 981 224 23 17 1 4 6 6 1 0 0 0 0 0 0 3 11 1 +1990 1974 PhD Single 63159 0 0 05-11-2012 74 965 34 586 89 86 37 1 3 5 8 3 1 0 0 0 0 0 3 11 0 +5513 1966 Graduation Together 37758 1 1 04-10-2012 49 27 2 10 0 0 1 2 1 0 3 8 0 0 0 0 0 0 3 11 0 +269 1963 PhD Single 46757 0 1 16-11-2012 71 777 30 163 0 51 122 6 4 4 7 9 0 0 0 0 0 0 3 11 0 +8093 1969 Master Married 79734 0 0 28-06-2014 72 572 8 232 23 62 17 1 4 3 6 1 0 0 0 1 0 0 3 11 0 +10513 1992 Graduation Together 63207 0 0 20-01-2013 68 438 169 565 91 169 70 1 2 3 6 7 0 0 0 1 0 0 3 11 0 +10177 1954 Graduation Divorced 72071 0 1 14-02-2013 4 531 69 300 150 138 150 3 5 4 8 2 0 0 0 0 0 0 3 11 0 +2549 1983 PhD Together 21840 1 0 21-07-2013 80 17 0 9 0 0 1 1 1 0 3 9 0 0 0 0 0 0 3 11 0 +5782 1982 2n Cycle Together 58582 0 1 28-09-2013 15 402 35 106 101 77 42 2 9 2 9 5 0 1 0 0 0 0 3 11 0 +10057 1951 Graduation Single 72282 0 0 19-07-2013 70 503 27 419 90 139 153 1 5 7 9 7 0 0 0 0 0 0 3 11 1 +10307 1956 Graduation Married 50387 0 2 31-08-2013 91 369 9 87 12 14 34 3 6 2 8 5 0 0 0 0 0 0 3 11 0 +8566 1961 PhD Together 32583 1 1 15-06-2014 10 5 0 3 0 0 1 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +2415 1962 Graduation Together 62568 0 1 07-04-2014 99 362 17 398 80 35 61 3 5 3 5 4 0 0 0 1 0 0 3 11 0 +5684 1971 Master Divorced 44635 1 1 11-10-2013 25 56 0 9 0 0 3 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +8334 1971 Master Single 33316 1 1 04-10-2013 34 79 1 31 4 4 12 3 2 1 4 6 0 0 0 0 0 0 3 11 0 +9166 1968 Graduation Married 63967 0 1 09-08-2013 57 387 84 141 73 35 162 3 4 4 12 2 0 0 0 0 0 0 3 11 0 +1440 1978 2n Cycle Together 52513 0 0 04-09-2012 84 367 17 241 104 188 232 2 9 5 9 7 0 0 0 0 0 0 3 11 0 +78 1969 Graduation Married 25293 1 0 15-09-2013 51 15 0 11 0 2 9 1 1 1 2 8 0 0 0 0 0 0 3 11 0 +5441 1965 PhD Widow 54111 0 1 25-08-2013 97 267 6 54 8 3 50 2 5 2 6 5 0 0 0 0 0 0 3 11 0 +5302 1986 Graduation Together 78394 0 0 15-02-2013 13 298 27 697 216 24 166 1 4 6 5 2 0 0 0 0 0 0 3 11 1 +4687 1958 Master Married 80739 0 0 23-05-2013 92 674 92 736 39 0 92 1 3 11 9 1 0 0 0 0 0 0 3 11 0 +1087 1975 Master Together 22669 1 0 22-05-2013 30 16 14 36 37 22 48 3 4 1 2 9 0 0 0 0 0 0 3 11 1 +6859 1987 Graduation Single 29236 1 0 08-10-2013 30 37 4 24 16 9 9 2 4 0 3 9 0 0 0 0 0 0 3 11 0 +9860 1959 Graduation Together 44911 0 1 15-03-2013 11 159 0 22 2 1 31 3 4 1 4 7 0 0 0 0 0 0 3 11 0 +7129 1962 PhD Married 54693 0 1 17-02-2013 72 686 17 142 23 26 35 8 6 4 13 6 0 0 0 0 0 0 3 11 0 +5866 1974 Graduation Together 48186 1 0 20-03-2014 39 97 3 66 12 7 34 3 4 1 4 7 0 0 0 0 0 0 3 11 0 +10521 1977 Graduation Married 54809 1 1 11-09-2013 0 63 6 57 13 13 22 4 2 1 5 4 0 0 0 0 0 0 3 11 1 +7393 1978 Graduation Together 41580 1 1 10-12-2012 15 56 5 24 4 0 3 3 2 1 3 5 0 0 0 0 0 0 3 11 0 +7849 1970 PhD Married 80336 0 0 09-09-2013 12 209 19 456 160 142 66 1 2 9 13 1 0 0 0 0 0 0 3 11 0 +332 1957 Graduation Married 47743 0 1 22-03-2013 56 198 2 43 0 12 20 3 4 1 6 6 0 1 0 0 0 0 3 11 0 +9847 1955 2n Cycle Married 62972 0 1 03-08-2012 39 313 15 47 20 0 192 2 7 4 3 6 0 0 0 0 0 0 3 11 0 +531 1954 PhD Divorced 57333 0 1 22-09-2012 55 941 14 397 76 58 176 11 8 5 9 6 0 0 0 0 0 0 3 11 1 +9576 1982 PhD Together 32313 1 0 11-02-2013 60 86 4 56 2 4 7 3 4 0 4 9 0 0 0 0 0 0 3 11 0 +6906 1953 Master Widow 84953 0 0 03-06-2013 73 167 48 602 63 72 72 1 3 10 4 2 0 1 1 1 0 0 3 11 1 +7419 1968 Master Divorced 27071 1 0 23-04-2014 90 8 3 19 0 2 3 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +3170 1957 Master Together 68148 0 0 31-08-2013 86 389 66 408 37 57 85 1 4 4 6 2 0 0 0 0 0 0 3 11 0 +8527 1965 Master Together 65735 1 1 07-12-2013 37 239 7 119 4 15 11 5 6 2 6 7 0 0 0 0 0 0 3 11 0 +7872 1975 PhD Married 86836 0 0 12-09-2012 7 179 21 273 0 21 63 1 6 10 6 5 1 0 1 1 0 0 3 11 1 +9931 1963 PhD Married 4023 1 1 23-06-2014 29 5 0 1 1 1 1 15 0 0 0 19 0 0 0 0 0 0 3 11 0 +10595 1990 Graduation Married 30093 0 0 08-07-2013 19 2 6 28 13 4 16 1 2 0 3 7 0 0 0 0 0 0 3 11 0 +4609 1966 PhD Married 57705 0 1 11-01-2014 14 383 0 53 6 4 40 3 8 1 6 6 0 0 0 0 0 0 3 11 0 +5010 1988 Graduation Single 25008 1 0 02-02-2014 72 2 8 8 6 1 9 2 1 0 3 8 0 0 0 0 0 0 3 11 0 +4427 1995 2n Cycle Single 83257 0 0 18-09-2012 56 536 27 590 38 107 67 1 5 10 12 6 1 0 1 0 0 1 3 11 1 +11148 1975 Graduation Together 22280 1 0 19-05-2013 85 2 1 4 3 1 2 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +1168 1978 PhD Married 72159 0 0 29-10-2012 62 322 53 899 34 40 53 1 4 6 10 2 0 0 0 0 0 0 3 11 0 +9595 1961 Graduation Together 64260 0 0 11-01-2013 1 539 169 816 20 0 30 1 4 5 4 3 0 0 0 0 0 0 3 11 1 +10163 1984 PhD Single 82733 0 0 10-09-2013 28 712 50 420 65 38 38 1 8 4 7 4 0 0 0 0 0 0 3 11 1 +2886 1971 Master Divorced 74290 0 1 12-08-2013 70 1121 0 72 0 12 12 4 10 8 10 6 0 1 0 1 0 0 3 11 0 +6710 1951 Master Single 58217 2 1 17-11-2012 84 68 1 13 3 5 13 1 2 0 4 6 0 0 0 0 0 0 3 11 0 +5316 1976 Master Together 21024 0 0 04-07-2013 89 36 4 18 6 2 18 1 2 0 4 7 0 0 0 0 0 0 3 11 0 +9029 1972 PhD Married 70116 0 0 26-01-2013 73 707 44 603 95 58 29 1 2 8 12 1 0 0 0 0 0 0 3 11 0 +521 1985 Graduation Together 54006 1 0 18-09-2012 42 174 77 203 6 24 97 2 8 1 7 7 0 0 0 0 0 0 3 11 0 +1459 1966 PhD Married 69063 0 1 07-11-2012 16 666 35 124 69 8 26 1 5 3 5 3 0 0 0 0 0 0 3 11 0 +10241 1975 2n Cycle Divorced 11448 0 0 15-12-2013 16 0 0 0 6 2 6 1 1 0 2 6 0 0 0 0 0 0 3 11 0 +1630 1979 Graduation Single 61825 0 1 07-08-2013 56 162 50 100 55 30 27 1 4 2 8 4 0 0 0 0 0 0 3 11 0 +3254 1971 Graduation Married 70886 1 0 14-10-2013 65 407 70 239 103 88 53 1 5 4 4 2 0 0 0 0 0 0 3 11 0 +9064 1982 Graduation Married 69109 0 0 09-11-2012 10 823 25 459 124 29 95 1 6 6 7 4 0 0 1 0 0 0 3 11 1 +3678 1973 Graduation Widow 60208 1 1 07-10-2012 13 488 23 71 15 0 59 11 8 3 7 7 0 1 0 0 0 0 3 11 1 +4227 1968 Master Together 32889 1 1 06-09-2013 78 28 0 13 4 2 8 3 2 1 3 5 0 0 0 0 0 0 3 11 0 +9467 1984 Graduation Single 34738 1 0 11-05-2014 51 3 2 10 3 0 2 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +8486 1971 Master Together 30538 1 0 01-10-2012 27 284 0 52 8 3 20 4 9 0 4 10 0 0 0 0 0 0 3 11 0 +2186 1977 2n Cycle Together 82326 0 0 10-03-2014 30 938 142 754 159 81 183 1 5 10 6 2 0 1 1 1 0 0 3 11 1 +3286 1967 PhD Divorced 26642 1 0 01-03-2014 71 13 2 15 2 2 8 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +8602 1964 Graduation Divorced 69932 0 1 12-06-2013 97 412 172 153 150 105 57 2 7 6 11 4 0 0 0 0 0 0 3 11 0 +3722 1972 Graduation Single 44503 1 1 16-04-2014 83 31 1 8 0 0 8 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +6715 1948 PhD Single 60200 0 1 02-01-2013 3 502 19 132 0 6 26 6 6 2 11 6 0 0 0 0 0 0 3 11 0 +4796 1952 Graduation Divorced 49638 0 1 19-04-2014 71 18 10 3 3 5 0 1 1 0 3 2 0 0 0 0 0 0 3 11 0 +9612 1987 2n Cycle Single 23830 0 0 07-02-2014 3 1 8 6 4 8 16 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +3766 1959 Master Widow 33051 0 0 16-08-2012 15 100 71 243 108 94 219 3 9 1 8 9 0 0 0 0 0 0 3 11 1 +1399 1958 Graduation Married 72905 0 0 21-01-2014 52 407 114 445 181 165 203 1 3 7 9 1 0 0 0 1 0 0 3 11 0 +1570 1951 PhD Together 69702 0 1 19-02-2013 8 664 9 240 50 19 57 2 7 7 10 4 0 0 0 0 0 0 3 11 0 +3426 1975 Graduation Divorced 70300 1 0 15-07-2013 89 1045 61 338 60 46 46 3 5 5 13 8 0 0 0 0 0 0 3 11 0 +3074 1984 PhD Married 70643 0 0 15-10-2012 66 1218 107 304 23 143 33 1 5 8 4 6 0 0 0 0 0 0 3 11 1 +8341 1969 PhD Married 30396 1 0 30-04-2014 22 15 0 6 0 1 12 2 1 1 2 7 1 0 0 0 0 0 3 11 1 +5180 1968 PhD Divorced 50616 0 1 18-04-2014 56 128 0 16 0 1 4 2 4 0 4 7 0 0 0 0 0 0 3 11 0 +6461 1969 Master Single 62772 0 1 19-05-2013 74 581 49 157 43 8 108 1 5 6 11 2 0 1 0 0 0 0 3 11 0 +7679 1985 PhD Single 30298 0 0 19-05-2014 48 6 3 12 6 1 0 1 1 1 3 3 0 0 0 0 0 0 3 11 0 +10702 1984 Graduation Single 52413 1 0 03-11-2012 67 185 8 133 56 56 12 2 7 1 7 7 0 0 0 0 0 0 3 11 0 +7505 1957 PhD Married 44155 1 1 19-01-2014 24 22 1 9 0 0 14 1 1 1 2 4 0 0 0 0 0 0 3 11 0 +5113 1971 PhD Divorced 86979 0 0 07-11-2013 67 584 100 835 65 83 35 1 5 5 5 2 1 0 0 0 0 0 3 11 1 +10858 1975 Graduation Together 76532 1 1 09-09-2013 38 355 30 177 90 138 30 4 9 5 7 5 0 0 0 0 0 0 3 11 0 +2961 1982 Graduation Married 42081 1 0 26-02-2013 86 175 10 110 54 6 27 2 6 3 4 6 1 0 0 0 0 0 3 11 0 +2747 1988 PhD Married 67546 0 0 31-08-2012 90 864 134 768 150 38 172 1 4 10 5 3 0 0 0 0 0 0 3 11 0 +3010 1989 Master Together 88420 0 0 02-05-2014 87 957 153 612 99 95 153 1 4 7 8 1 1 0 1 1 0 0 3 11 0 +5790 1985 Graduation Married 31158 1 0 27-01-2013 62 25 6 16 20 0 5 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +6892 1968 Graduation Divorced 61671 0 1 03-06-2014 23 641 7 56 0 0 28 8 10 4 6 8 0 1 0 1 0 0 3 11 0 +1743 1974 Graduation Single 69719 0 0 26-05-2014 99 273 86 208 177 14 43 1 2 3 5 1 0 0 0 0 0 0 3 11 0 +3578 1949 Graduation Divorced 49160 0 1 20-10-2013 29 122 21 43 25 10 15 2 3 1 6 6 0 0 0 0 0 0 3 11 0 +8462 1978 Basic Together 24882 1 0 09-09-2012 52 1 4 10 29 0 36 1 1 1 2 6 1 0 0 0 0 0 3 11 0 +5558 1954 PhD Single 90933 0 0 31-03-2014 90 1020 31 430 62 63 79 1 4 6 4 1 0 0 1 0 0 0 3 11 0 +4619 1945 PhD Single 113734 0 0 28-05-2014 9 6 2 3 1 262 3 0 27 0 0 1 0 0 0 0 0 0 3 11 0 +8780 1950 PhD Together 59292 0 1 13-06-2013 71 378 14 68 19 14 14 2 3 5 8 3 0 0 0 0 0 0 3 11 0 +10789 1964 PhD Married 45759 1 1 23-02-2013 13 42 1 18 3 0 4 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +10779 1983 Graduation Single 22148 0 0 13-04-2014 16 15 5 14 0 4 11 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +5896 1987 Master Married 73395 0 0 18-03-2014 94 272 7 80 20 7 11 1 4 4 6 2 0 0 0 0 0 0 3 11 0 +2337 1971 Graduation Divorced 29819 1 0 24-10-2013 77 9 1 24 2 1 2 3 3 0 3 6 0 0 0 0 0 0 3 11 0 +10951 1968 Graduation Married 45688 0 1 25-01-2014 20 279 0 18 0 0 9 2 3 1 8 4 0 1 0 0 0 0 3 11 0 +544 1954 Graduation Married 62820 0 0 11-05-2013 51 398 61 265 138 61 53 1 3 4 6 1 0 0 0 0 0 0 3 11 0 +17 1971 PhD Married 60491 0 1 06-09-2013 81 637 47 237 12 19 76 4 6 11 7 5 0 0 0 0 0 0 3 11 0 +10680 1986 Graduation Together 33235 1 0 05-02-2014 71 45 0 16 2 1 6 1 3 0 3 7 0 0 0 0 0 0 3 11 0 +3265 1959 Graduation Married 35701 0 0 19-03-2013 36 21 1 9 7 3 5 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +5623 1980 Master Married 31535 1 0 26-09-2013 95 15 4 13 0 0 19 1 1 1 2 7 1 0 0 0 0 0 3 11 0 +5832 1960 2n Cycle Together 92556 0 0 20-04-2014 32 493 183 352 184 23 28 0 3 5 13 0 0 0 0 0 0 0 3 11 0 +5544 1970 Graduation Single 67384 0 1 10-11-2012 32 957 40 175 158 53 107 2 7 8 5 5 0 1 0 0 0 0 3 11 0 +6417 1971 Master Together 80573 0 0 14-10-2012 85 829 138 430 60 92 15 1 4 6 13 2 0 0 0 0 0 0 3 11 0 +5831 1967 Graduation Married 77870 0 1 22-08-2012 93 1017 50 500 65 50 133 3 5 5 5 8 0 1 0 1 0 0 3 11 1 +7101 1963 PhD Widow 52278 0 1 25-01-2013 24 953 0 71 0 0 174 6 10 5 10 8 0 0 0 0 0 0 3 11 0 +10176 1968 Graduation Single 57107 0 1 24-08-2012 44 159 0 120 0 0 137 7 4 4 8 8 0 1 0 0 1 0 3 11 1 +2326 1990 Graduation Married 18929 0 0 16-02-2013 15 32 0 8 23 4 18 1 1 0 4 6 0 0 0 0 0 0 3 11 0 +4385 1981 PhD Single 36038 1 0 31-05-2013 82 23 0 15 0 2 7 2 3 0 3 6 0 0 0 0 0 0 3 11 0 +2929 1976 Graduation Single 20180 0 0 20-02-2013 27 18 42 24 15 20 18 1 2 1 4 7 0 0 0 0 0 0 3 11 0 +10686 1965 PhD Together 34230 1 1 26-12-2012 72 15 0 4 0 0 2 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +2546 1977 2n Cycle Single 31878 0 1 22-06-2014 7 23 4 5 10 5 23 1 1 0 4 3 0 0 0 0 0 0 3 11 0 +3283 1972 2n Cycle Married 70932 0 1 19-01-2014 57 200 193 100 46 185 185 2 6 2 12 3 0 0 0 0 0 0 3 11 0 +3138 1956 Graduation Single 91249 0 0 20-10-2012 84 1324 27 119 71 108 27 0 7 9 6 4 0 1 1 1 1 0 3 11 1 +4994 1943 Master Single 77598 0 0 01-10-2013 53 1193 33 281 129 66 33 1 7 5 13 3 0 0 1 0 0 0 3 11 0 +7966 1959 Graduation Single 80982 1 1 08-01-2013 48 505 137 401 104 22 22 3 11 5 11 5 0 0 0 0 0 1 3 11 0 +3112 1977 Master Married 22701 1 0 05-09-2013 2 2 4 9 0 4 5 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +10872 1969 PhD Married 55212 0 1 23-11-2012 65 1103 0 45 0 0 34 3 4 2 11 8 0 1 0 0 1 0 3 11 0 +2181 1970 Graduation Married 70617 0 0 23-06-2013 45 353 61 753 40 46 27 1 3 3 7 2 0 0 0 0 0 0 3 11 0 +1867 1957 Graduation Single 64849 0 0 13-11-2012 42 652 48 350 94 84 108 1 9 3 6 5 0 0 0 0 0 0 3 11 1 +1518 1965 Master Married 62694 1 1 17-06-2013 29 379 6 157 25 91 91 5 9 3 7 7 0 0 0 0 0 0 3 11 0 +5734 1974 PhD Married 61917 1 1 20-11-2013 83 46 4 36 2 2 1 1 2 0 4 5 0 0 0 0 0 0 3 11 0 +2878 1947 PhD Married 67472 0 1 28-09-2013 93 162 31 127 8 17 69 2 4 2 7 3 0 0 0 0 0 0 3 11 0 +1458 1982 Master Married 21059 1 0 07-01-2014 40 8 3 19 3 3 8 3 3 0 3 6 0 0 0 0 0 0 3 11 0 +7007 1968 Master Married 29543 2 0 01-04-2014 47 17 3 18 3 4 18 2 3 1 2 7 0 0 0 0 0 0 3 11 0 +6200 1951 Graduation Married 75903 0 1 08-04-2013 50 340 108 185 130 38 100 2 6 6 9 3 0 0 0 0 0 0 3 11 0 +1403 1975 2n Cycle Together 34984 1 1 06-09-2012 40 8 4 15 3 5 3 2 1 0 3 7 0 0 0 0 0 0 3 11 0 +4827 1956 PhD Single 54998 0 1 10-03-2013 3 154 22 202 39 30 8 5 4 2 9 4 0 0 0 0 0 0 3 11 1 +6250 1949 PhD Widow 54356 0 1 19-11-2012 62 710 15 30 20 0 0 3 11 2 8 8 0 0 0 0 0 0 3 11 1 +9291 1959 Master Married 34242 0 1 23-03-2014 25 8 2 4 0 0 1 1 0 0 3 5 0 0 0 0 0 0 3 11 0 +2478 1973 Graduation Married 25410 1 0 31-08-2013 48 2 2 4 13 13 4 1 1 0 4 4 0 0 0 0 0 0 3 11 0 +1139 1984 PhD Married 73356 0 0 06-02-2014 56 1050 14 322 0 14 112 1 5 11 5 2 1 0 1 1 0 0 3 11 1 +5138 1950 Graduation Together 28320 0 1 14-01-2013 68 19 1 14 3 2 4 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +5393 1977 Graduation Single 23763 1 0 07-08-2012 64 22 0 6 6 2 6 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +10413 1984 Graduation Married 72570 0 0 25-04-2014 67 274 83 216 151 141 224 1 4 6 12 1 0 0 0 0 0 0 3 11 0 +5015 1976 Master Married 34529 1 0 14-09-2012 94 68 6 38 3 6 41 2 2 2 3 7 0 0 0 0 0 0 3 11 0 +10868 1951 Graduation Widow 70792 0 0 06-02-2013 82 344 45 654 104 11 114 2 3 4 10 3 0 0 0 0 0 0 3 11 0 +10676 1982 Graduation Married 63211 0 0 02-11-2012 3 145 193 459 205 26 145 2 3 8 7 2 0 0 0 0 0 0 3 11 1 +2495 1974 Master Married 83891 0 1 20-06-2014 24 217 38 350 111 85 15 1 4 7 10 1 0 0 0 0 0 0 3 11 0 +7842 1968 Graduation Single 36065 1 1 31-03-2013 54 18 7 34 10 2 3 3 3 0 3 8 0 0 0 0 0 0 3 11 0 +9955 1954 Graduation Together 39898 0 1 12-02-2013 20 69 8 26 12 7 12 2 3 0 4 7 0 0 0 0 0 0 3 11 0 +6663 1940 PhD Single 51141 0 0 08-07-2013 96 144 0 7 0 0 6 1 3 1 4 5 0 0 0 0 0 0 3 11 0 +2162 1976 Graduation Married 56939 0 1 18-09-2013 19 256 34 103 90 29 49 2 3 3 10 3 0 0 0 0 0 0 3 11 0 +3434 1951 Graduation Single 80872 0 0 12-05-2014 60 483 72 567 94 12 108 1 4 4 10 1 0 0 0 0 0 0 3 11 0 +7919 1976 PhD Together 72335 0 0 13-08-2012 2 1285 105 653 28 21 0 1 10 4 8 8 0 0 0 0 0 0 3 11 1 +5626 1964 PhD Single 61798 0 0 23-11-2013 13 338 4 89 11 8 13 1 4 2 9 4 0 0 0 0 0 0 3 11 0 +6428 1950 PhD Widow 76842 0 0 03-05-2014 37 605 10 345 84 54 32 1 1 8 7 0 0 0 0 0 0 0 3 11 0 +8514 1976 Graduation Together 29478 1 0 17-01-2014 59 8 0 7 3 1 1 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +10448 1956 Graduation Single 46998 0 1 22-10-2012 55 172 41 86 45 6 27 5 5 3 5 7 1 0 0 0 0 0 3 11 0 +2109 1990 Graduation Single 96843 0 0 23-04-2013 60 448 71 951 40 17 17 1 6 11 10 2 0 0 1 0 0 0 3 11 1 +7530 1950 PhD Widow 56551 1 1 07-05-2014 48 67 4 32 17 2 16 3 2 1 4 4 0 0 0 0 0 0 3 11 0 +8925 1965 Master Married 70053 0 1 03-07-2013 38 512 53 98 81 179 89 3 8 5 10 5 0 0 0 0 0 0 3 11 0 +3009 1962 PhD Widow 71670 0 0 09-07-2013 8 1462 16 128 0 0 160 1 5 3 6 6 0 1 1 0 1 0 3 11 1 +6355 1978 Graduation Married 44359 1 1 17-06-2014 19 20 0 14 7 3 1 3 2 0 4 3 0 0 0 0 0 0 3 11 0 +3517 1952 Graduation Single 40887 1 1 06-05-2013 32 50 4 44 10 10 43 3 3 1 3 9 0 0 0 0 0 0 3 11 1 +1158 1966 Graduation Divorced 48877 0 1 05-01-2014 27 102 1 15 2 0 24 1 3 0 4 7 0 0 0 0 0 0 3 11 0 +6203 1947 Graduation Together 74485 0 0 24-08-2013 58 499 149 815 173 49 49 1 6 7 12 3 0 0 0 0 0 0 3 11 0 +7165 1972 Graduation Together 64474 0 1 22-10-2013 59 381 35 172 56 86 93 2 8 2 10 5 0 0 0 0 0 0 3 11 0 +3595 1963 Graduation Together 77226 0 1 28-02-2014 29 631 43 239 128 76 21 2 6 8 12 3 0 0 0 0 0 0 3 11 0 +8537 1949 Graduation Widow 72643 0 0 27-02-2013 60 526 80 553 123 94 53 1 3 10 7 2 0 0 0 1 0 0 3 11 1 +4331 1978 Master Together 85738 0 0 23-01-2014 41 913 26 376 17 26 13 1 3 6 11 1 0 1 1 0 0 0 3 11 0 +6281 1966 Graduation Divorced 55686 0 1 14-02-2013 27 673 0 199 37 47 26 2 6 3 5 4 1 0 0 0 0 0 3 11 0 +4338 1983 Graduation Single 39062 1 0 25-03-2014 28 23 0 9 0 0 12 1 1 0 3 4 1 0 0 0 0 0 3 11 0 +2452 1971 Graduation Together 34600 1 1 01-01-2013 8 199 33 60 8 3 15 5 5 2 5 8 0 0 0 0 0 0 3 11 1 +9507 1975 Graduation Married 40794 0 1 07-04-2013 18 261 23 73 4 23 50 2 6 3 5 7 0 0 0 0 0 0 3 11 0 +8360 1971 2n Cycle Married 54690 1 1 07-11-2013 76 111 16 37 7 9 18 3 3 1 5 3 0 0 0 0 0 0 3 11 0 +10311 1969 Graduation Married 4428 0 1 05-10-2013 0 16 4 12 2 4 321 0 25 0 0 1 0 0 0 0 0 0 3 11 0 +5117 1963 2n Cycle Married 32632 0 0 02-08-2012 32 63 151 137 153 19 53 2 4 4 8 5 0 0 0 0 0 0 3 11 0 +4867 1968 PhD Single 38236 1 1 20-09-2013 2 58 0 18 2 0 10 4 3 0 4 7 0 0 0 0 0 0 3 11 0 +9289 1979 Graduation Married 36781 1 0 10-04-2014 16 29 1 17 0 3 13 1 2 1 2 8 0 0 0 0 0 0 3 11 1 +10913 1984 Master Single 31385 1 0 05-12-2012 56 3 2 12 0 1 9 1 1 0 2 8 1 0 0 0 0 0 3 11 1 +3032 1984 Graduation Married 24570 1 0 27-02-2013 97 28 34 62 11 14 44 3 4 0 4 9 0 0 0 0 0 0 3 11 0 +8524 1974 PhD Divorced 25509 1 0 18-09-2012 15 40 3 30 10 7 11 3 3 0 3 9 0 0 0 0 0 0 3 11 1 +3334 1951 Graduation Married 94642 0 0 12-02-2014 35 879 143 797 106 143 143 0 5 7 9 1 0 0 1 1 0 0 3 11 0 +4470 1962 Master Married 58646 0 1 10-06-2013 3 62 1 44 6 5 22 1 2 1 4 4 0 0 0 0 0 0 3 11 0 +1406 1975 Graduation Single 53201 1 1 12-02-2013 49 280 7 81 20 0 27 8 6 3 5 7 0 0 0 0 0 0 3 11 0 +8619 1957 Graduation Together 21994 0 1 24-12-2012 4 9 0 6 3 1 3 1 0 0 3 5 0 0 0 0 0 0 3 11 0 +10821 1978 Graduation Married 57113 1 1 06-02-2013 45 182 4 33 0 2 42 6 4 1 5 7 0 0 0 0 0 0 3 11 0 +4552 1991 Graduation Married 51373 0 0 22-06-2013 37 83 2 101 64 26 117 1 3 5 3 4 0 0 0 0 0 0 3 11 0 +898 1986 Graduation Married 23477 1 0 21-10-2013 39 38 15 54 3 8 29 3 3 0 4 8 0 0 0 0 0 0 3 11 0 +9797 1956 Graduation Married 58116 0 1 13-04-2014 38 228 19 130 4 11 51 2 3 3 8 2 0 0 0 0 0 0 3 11 0 +10949 1963 PhD Divorced 72968 0 0 16-12-2013 8 1092 37 592 145 37 55 1 5 5 8 3 0 0 0 1 0 0 3 11 1 +8212 1971 Master Married 39791 0 1 28-03-2013 89 85 15 27 13 13 21 2 3 1 4 7 0 0 0 0 0 0 3 11 0 +6248 1947 Master Single 91712 0 0 17-10-2013 47 1276 24 746 94 29 48 0 9 7 11 3 0 0 1 0 0 0 3 11 1 +10164 1958 Graduation Single 94472 0 1 03-04-2014 75 1017 33 417 108 100 16 1 5 5 5 5 0 1 1 0 0 0 3 11 0 +4547 1960 Graduation Together 13672 1 1 17-04-2013 86 6 2 9 2 1 5 2 1 0 3 8 0 0 0 0 0 0 3 11 0 +6815 1980 2n Cycle Married 96547 0 0 23-05-2014 4 448 21 125 52 101 62 0 7 6 8 2 1 0 1 1 0 0 3 11 1 +4122 1975 Graduation Married 79205 0 0 29-08-2012 73 504 23 117 179 28 44 1 6 5 4 4 0 0 0 1 0 0 3 11 1 +10841 1975 PhD Together 56559 0 1 25-12-2012 46 226 22 133 41 31 31 3 4 3 8 4 0 0 0 0 0 0 3 11 0 +5370 1973 PhD Married 32644 1 0 16-01-2013 38 239 3 141 0 7 23 4 7 1 6 8 1 0 0 0 0 0 3 11 0 +176 1980 2n Cycle Single 67506 0 1 02-01-2014 73 90 38 67 33 36 67 1 4 1 6 3 0 0 0 0 0 0 3 11 0 +4860 1970 Graduation Single 24206 1 0 08-03-2013 66 7 2 8 3 2 3 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +10757 1967 PhD Divorced 28420 1 0 24-12-2013 36 4 2 5 2 0 0 1 1 0 2 6 0 0 0 0 0 0 3 11 0 +4023 1970 Graduation Married 22979 1 0 06-09-2012 29 16 17 19 20 21 22 3 3 2 2 8 0 0 0 0 0 0 3 11 1 +6679 1966 Graduation Single 33279 0 0 12-06-2014 29 10 3 3 0 0 0 1 0 0 3 3 0 0 0 0 0 0 3 11 0 +9923 1972 Master Single 46423 1 1 18-09-2013 6 68 0 16 0 0 8 3 2 0 4 7 0 0 0 0 0 0 3 11 0 +7181 1977 Graduation Married 30368 0 1 07-11-2013 97 35 0 13 2 0 2 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +3599 1970 Graduation Married 63684 0 1 26-11-2012 61 575 80 428 208 93 80 3 8 4 8 5 0 0 0 0 0 0 3 11 0 +405 1964 Graduation Divorced 41638 0 1 13-02-2013 68 315 0 31 4 0 91 4 5 5 3 8 1 0 0 0 0 0 3 11 0 +6870 1959 PhD Divorced 68805 0 1 17-09-2013 73 182 2 49 17 13 20 1 3 1 7 2 0 0 0 0 0 0 3 11 0 +832 1966 PhD Together 65814 0 1 02-03-2014 90 561 14 113 10 14 35 3 8 2 10 5 0 0 0 0 0 0 3 11 0 +2002 1958 Graduation Divorced 71964 0 0 20-05-2013 81 587 51 932 180 34 86 1 5 6 5 3 0 0 0 0 0 0 3 11 0 +3657 1986 Graduation Single 39146 1 0 14-02-2013 1 94 1 33 13 12 12 3 4 0 4 8 0 0 0 0 0 0 3 11 0 +500 1977 Graduation Together 96876 0 0 06-08-2013 79 908 43 735 40 194 21 1 7 7 9 2 0 1 1 1 0 0 3 11 1 +1951 1981 Basic Married 34445 0 0 27-01-2013 92 228 122 122 208 129 30 6 11 2 8 9 0 0 0 0 0 0 3 11 0 +3262 1958 Graduation Single 68281 0 0 07-08-2012 31 995 112 417 42 48 41 1 2 9 13 5 0 0 0 0 0 0 3 11 1 +4102 1975 2n Cycle Married 37284 1 1 29-03-2013 46 11 1 2 2 1 6 1 0 0 3 6 0 0 0 0 0 0 3 11 0 +7042 1983 Graduation Married 36790 0 0 01-03-2013 14 3 3 14 15 21 10 1 2 1 2 9 0 0 0 0 0 0 3 11 1 +10598 1967 Graduation Together 27943 1 1 15-04-2013 89 12 1 16 4 1 3 3 2 0 3 8 0 0 0 0 0 0 3 11 0 +255 1951 Graduation Divorced 22263 1 1 30-03-2014 31 17 0 2 0 0 2 2 1 0 3 6 0 0 0 0 0 1 3 11 0 +2375 1972 Graduation Together 30261 1 2 25-09-2012 75 8 0 5 0 3 6 1 0 0 3 8 0 0 0 0 0 0 3 11 0 +9829 1978 Graduation Together 28587 1 0 12-02-2014 42 22 4 17 12 10 13 3 2 0 4 6 0 0 0 0 0 0 3 11 0 +6214 1982 Master Married 43815 1 0 05-04-2013 53 14 10 29 4 7 15 1 2 0 3 6 0 0 0 0 0 0 3 11 0 +4954 1956 Graduation Married 48195 1 1 21-01-2014 53 106 27 68 52 7 5 6 4 2 5 6 0 0 0 0 0 0 3 11 0 +7861 1952 Master Married 77027 0 1 05-02-2014 23 820 57 242 45 0 11 2 8 3 6 4 0 0 0 0 0 0 3 11 0 +4837 1965 PhD Married 71322 0 1 16-02-2013 57 753 43 226 69 10 204 2 8 5 13 4 0 0 0 0 0 0 3 11 0 +9423 1979 Master Married 32765 1 0 23-02-2014 49 13 3 17 7 3 3 2 2 0 4 5 0 0 0 0 0 0 3 11 0 +4198 1965 Graduation Together 29672 1 1 12-03-2013 6 9 1 3 0 4 8 1 0 0 3 6 0 0 0 0 0 0 3 11 0 +153 1953 Graduation Divorced 23272 0 0 17-10-2013 29 19 3 6 4 2 12 1 1 0 3 4 0 0 0 0 0 0 3 11 0 +9323 1949 Master Together 49912 0 1 07-09-2012 5 520 8 223 32 49 42 4 10 5 7 8 1 0 0 0 0 0 3 11 1 +10001 1985 2n Cycle Together 7500 1 0 01-08-2012 98 5 17 17 13 14 34 4 2 1 3 9 0 0 0 0 0 0 3 11 0 +3945 1947 PhD Widow 68117 0 1 10-03-2013 80 618 44 215 0 17 36 2 11 8 4 6 1 0 0 0 0 0 3 11 1 +3799 1955 Graduation Married 67225 0 1 26-11-2013 4 315 35 322 46 7 143 3 7 2 11 5 0 0 0 0 0 0 3 11 0 +8625 1976 Graduation Married 17649 1 0 12-11-2013 70 15 1 23 0 5 1 3 3 0 3 8 0 0 0 0 0 0 3 11 0 +3491 1975 Graduation Together 55914 0 1 29-04-2013 32 384 60 364 119 101 232 4 11 6 8 7 0 0 0 0 0 0 3 11 0 +983 1984 Graduation Married 40059 1 0 28-09-2013 82 110 29 92 28 10 145 1 6 2 3 8 1 0 0 0 0 0 3 11 0 +9119 1950 Graduation Together 60905 0 1 05-12-2013 27 208 17 76 36 17 38 2 3 3 7 2 0 0 0 0 0 0 3 11 0 +4786 1977 Graduation Married 75330 1 1 04-10-2012 94 555 82 257 93 61 61 4 10 3 12 6 0 0 0 0 0 0 3 11 0 +5872 1951 Graduation Single 60689 0 1 01-06-2013 23 240 90 216 63 6 24 4 4 4 10 3 0 0 0 0 0 0 3 11 0 +6568 1984 Graduation Married 38680 1 0 28-03-2013 97 11 0 36 15 5 12 1 2 0 3 7 0 0 0 0 0 0 3 11 0 +5628 1982 Graduation Together 61416 0 0 08-02-2013 25 848 154 323 201 61 78 1 10 3 10 6 1 0 0 0 0 0 3 11 0 +5631 1991 Graduation Single 49767 0 0 02-05-2013 92 202 47 197 55 42 149 1 5 4 8 4 0 0 0 0 0 0 3 11 0 +4974 1970 Graduation Single 83273 1 2 25-09-2012 98 433 89 650 16 102 102 10 4 6 9 7 0 0 0 0 0 0 3 11 0 +8416 1981 Graduation Married 29009 1 0 29-11-2013 19 6 6 15 10 5 2 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +5454 1979 Master Married 45057 1 0 01-12-2013 80 37 0 7 3 0 3 1 2 0 3 5 0 0 0 0 0 0 3 11 0 +4095 1971 Graduation Married 37150 1 0 11-09-2012 80 167 37 64 49 34 116 8 4 3 6 7 0 0 0 0 0 0 3 11 0 +5474 1970 Graduation Single 43020 1 0 30-11-2013 79 45 7 99 4 25 43 3 4 1 4 6 0 0 0 0 0 0 3 11 0 +4268 1959 Graduation Married 53154 0 1 09-06-2014 50 129 0 21 0 1 7 1 3 1 4 4 0 0 0 0 0 0 3 11 0 +10701 1973 Graduation Married 65308 0 0 11-09-2013 60 713 0 264 120 80 34 1 7 8 12 4 0 0 1 1 0 0 3 11 0 +3507 1970 Graduation Single 76467 1 0 17-08-2012 44 676 161 426 210 44 58 2 2 5 5 6 0 0 0 0 0 0 3 11 1 +2079 1947 2n Cycle Married 81044 0 0 27-12-2013 0 450 26 535 73 98 26 1 5 6 10 1 0 0 0 0 0 0 3 11 0 +626 1951 Graduation Married 32871 1 1 09-03-2013 28 22 2 12 0 2 5 1 1 0 3 4 0 0 0 0 0 0 3 11 0 +4426 1975 Graduation Single 55801 1 1 22-09-2013 35 367 4 51 6 4 95 6 7 2 6 7 0 0 0 1 0 0 3 11 0 +2591 1959 Graduation Widow 76320 0 1 22-06-2014 49 526 35 214 69 53 35 2 6 3 4 2 0 0 0 0 0 0 3 11 0 +10509 1955 Master Single 36927 1 1 02-06-2014 46 51 0 16 0 0 4 2 3 0 3 8 0 0 0 0 0 0 3 11 0 +6382 1953 Graduation Together 48794 1 1 26-06-2014 97 25 0 11 3 0 15 1 1 0 3 4 0 0 0 0 0 0 3 11 0 +6673 1965 Graduation Single 23478 0 0 19-03-2013 51 28 6 27 12 17 39 1 3 0 3 8 0 0 0 0 0 0 3 11 0 +7441 1973 Graduation Divorced 71128 1 0 06-10-2012 80 958 159 447 20 0 31 3 2 10 12 7 0 0 0 0 0 0 3 11 0 +1071 1976 PhD Divorced 70179 0 1 21-07-2013 10 532 88 168 69 44 133 3 7 3 13 5 0 0 0 0 0 0 3 11 0 +10061 1950 Graduation Married 59462 0 1 05-01-2013 29 724 17 143 0 8 196 2 9 2 12 7 0 0 0 0 0 0 3 11 0 +7187 1969 Master Together 1 1 18-05-2013 52 375 42 48 94 66 96 7 4 10 4 3 0 0 0 0 0 0 3 11 0 +8775 1969 Graduation Together 38361 1 0 27-12-2013 74 39 0 56 20 8 14 3 3 1 3 7 0 0 0 0 0 0 3 11 0 +1612 1981 PhD Single 1 0 31-05-2013 82 23 0 15 0 2 7 2 3 0 3 6 0 0 0 0 0 0 3 11 0 +2345 1982 PhD Together 70038 0 0 25-10-2013 54 587 54 348 71 54 130 1 4 4 8 2 0 0 0 0 0 0 3 11 0 +322 1978 Graduation Together 42554 1 1 12-01-2013 93 29 1 11 0 0 0 2 2 0 3 4 0 0 0 0 0 0 3 11 0 +10897 1974 Graduation Married 67445 0 1 12-08-2012 63 757 80 217 29 80 11 5 9 6 12 6 0 0 0 0 0 0 3 11 0 +123 1951 Graduation Widow 67046 0 1 06-01-2013 92 544 35 133 23 151 107 2 4 5 4 2 0 0 0 0 0 0 3 11 0 +6103 1948 Graduation Married 42192 0 0 06-09-2013 40 40 15 15 17 6 7 1 2 1 3 4 0 0 0 0 0 0 3 11 0 +7899 1952 PhD Married 77610 0 1 29-10-2012 70 1245 33 332 21 33 16 2 4 7 4 7 0 0 0 0 0 0 3 11 0 +10500 1984 Graduation Married 31761 1 0 05-04-2014 96 19 1 20 16 14 28 2 3 0 4 5 0 0 0 0 0 0 3 11 0 +1655 1979 Graduation Together 34350 1 0 19-10-2013 81 16 3 15 2 1 11 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +2406 1949 Graduation Together 54591 0 1 05-08-2013 63 376 4 94 12 9 24 3 6 2 8 5 0 0 0 0 0 0 3 11 0 +2712 1956 Graduation Married 71866 0 1 25-12-2013 85 184 178 178 103 39 33 1 6 3 10 3 0 0 0 0 0 0 3 11 0 +5517 1969 Graduation Married 25293 1 0 15-09-2013 51 15 0 11 0 2 9 1 1 1 2 8 0 0 0 0 0 0 3 11 0 +10643 1987 PhD Single 42000 0 0 10-01-2013 23 124 83 267 85 59 35 2 5 2 11 5 0 0 0 0 0 0 3 11 1 +2254 1983 Graduation Married 69520 0 0 07-07-2013 95 627 120 414 121 80 93 1 9 6 5 5 0 0 0 0 0 0 3 11 0 +10281 1970 Graduation Divorced 64713 1 0 07-02-2014 11 180 60 241 13 54 54 2 5 5 7 4 0 0 0 0 0 0 3 11 1 +6958 1977 Master Married 27889 1 0 05-07-2013 42 14 0 4 0 0 8 1 1 1 2 6 0 0 0 0 0 0 3 11 0 +954 1960 Basic Widow 22123 0 0 27-03-2014 77 3 3 24 34 7 31 1 2 1 3 5 0 0 0 0 0 0 3 11 0 +5079 1971 Graduation Married 1 1 03-03-2013 82 71 1 16 0 0 9 4 2 1 3 8 0 0 0 0 0 0 3 11 0 +10339 1954 Master Together 0 1 23-06-2013 83 161 0 22 0 0 24 2 4 1 4 6 0 0 0 0 0 0 3 11 0 +4643 1973 Graduation Married 27803 1 0 26-08-2012 40 8 26 46 38 9 49 2 3 0 4 8 0 0 0 0 0 0 3 11 0 +3117 1955 Graduation Single 0 1 18-10-2013 95 264 0 21 12 6 147 3 6 1 5 7 0 0 0 0 0 0 3 11 0 +6497 1960 Graduation Married 51651 0 1 07-11-2012 32 293 6 23 13 6 92 4 6 2 5 8 0 0 0 0 0 0 3 11 0 +5396 1988 Graduation Married 68487 0 0 13-01-2013 48 758 12 385 33 89 89 1 9 7 13 4 0 0 0 0 0 0 3 11 0 +5250 1943 Master Widow 0 0 30-10-2013 75 532 126 490 164 126 126 1 5 5 11 1 0 0 1 0 0 0 3 11 1 +1052 1969 Graduation Married 56796 0 1 16-02-2013 24 656 38 161 62 47 37 3 8 9 7 7 0 0 0 0 0 0 3 11 0 +2802 1992 2n Cycle Married 87000 0 0 15-12-2012 61 196 25 607 67 17 49 1 4 6 7 2 0 0 0 0 0 0 3 11 0 +6343 1959 Graduation Married 79823 0 1 31-03-2014 6 835 73 380 114 73 43 1 6 9 7 2 0 1 0 0 0 0 3 11 0 +6507 1980 Graduation Single 30828 1 0 04-10-2013 16 16 11 15 2 0 12 2 1 1 4 3 0 0 0 0 0 0 3 11 0 +7901 1971 Master Married 34109 0 1 06-11-2013 39 9 1 5 2 1 4 1 0 0 3 4 0 0 0 0 0 0 3 11 0 +4865 1974 Master Divorced 53367 1 1 31-08-2013 2 229 7 140 10 3 11 7 5 1 8 7 0 0 0 0 0 0 3 11 1 +2686 1969 Basic Together 22390 0 0 21-10-2013 49 0 1 4 15 1 5 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +3107 1976 Graduation Together 71322 0 1 02-05-2014 31 121 24 124 24 15 42 1 4 1 7 2 0 0 0 0 0 0 3 11 0 +7734 1993 Graduation Absurd 79244 0 0 19-12-2012 58 471 102 125 212 61 245 1 4 10 7 1 0 0 1 1 0 0 3 11 1 +1146 1949 Master Together 49912 0 1 07-09-2012 5 520 8 223 32 49 42 4 10 5 7 8 1 0 0 0 0 0 3 11 1 +11031 1950 PhD Married 48699 1 1 21-05-2013 90 26 1 10 2 0 1 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +7428 1975 Graduation Together 80144 0 0 30-09-2013 47 240 132 445 250 192 108 1 3 7 8 1 0 0 0 0 0 0 3 11 0 +975 1956 Graduation Single 54252 1 1 28-05-2013 25 178 4 26 8 4 44 5 4 1 5 6 0 0 0 0 0 0 3 11 0 +1103 1976 Master Married 81929 1 0 29-09-2012 60 1486 55 278 49 0 185 2 4 4 10 6 1 0 1 0 0 0 3 11 1 +3422 1975 Graduation Married 76068 0 1 29-11-2012 67 1115 12 128 33 12 76 1 2 3 4 6 0 1 0 0 1 0 3 11 0 +1055 1976 Master Married 53204 1 1 20-03-2014 40 29 0 8 2 0 6 1 1 0 3 4 0 0 0 0 0 0 3 11 0 +6544 1949 PhD Together 67911 0 1 22-05-2014 63 529 0 356 63 28 0 3 6 7 11 3 0 0 0 0 0 0 3 11 0 +1241 1984 2n Cycle Married 14796 1 0 17-09-2012 1 13 3 8 7 4 16 2 1 0 3 9 0 0 0 0 0 0 3 11 1 +2909 1974 PhD Married 78128 0 1 19-02-2014 89 934 24 230 16 24 36 2 8 4 6 3 0 1 1 0 0 0 3 11 0 +5802 1972 Basic Married 14188 0 0 28-02-2013 40 2 7 11 16 12 27 1 2 0 4 6 0 0 0 0 0 0 3 11 0 +1407 1986 Basic Married 20425 1 0 29-10-2012 5 4 12 5 3 16 17 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +6183 1962 Master Married 58646 0 1 10-06-2013 3 62 1 44 6 5 22 1 2 1 4 4 0 0 0 0 0 0 3 11 0 +340 1970 Graduation Divorced 72967 0 1 15-12-2012 1 158 35 179 0 0 125 2 7 2 8 5 1 0 0 0 0 0 3 11 1 +5991 1949 Master Married 48150 0 1 08-06-2013 24 173 2 39 3 2 47 3 5 1 4 7 0 0 0 0 0 0 3 11 0 +3104 1961 Graduation Single 82332 0 0 17-09-2012 89 830 59 968 51 79 19 1 5 3 12 2 0 0 1 0 0 0 3 11 1 +9729 1955 Graduation Widow 58275 1 1 02-06-2013 48 189 10 253 56 43 64 6 8 2 7 7 0 0 0 0 0 0 3 11 0 +1008 1981 PhD Together 44953 0 0 21-12-2012 31 728 17 133 11 8 124 1 7 3 13 6 1 0 0 0 0 0 3 11 0 +11091 1953 Graduation Together 34587 1 1 16-05-2014 68 7 2 9 2 0 2 2 1 0 3 4 0 0 0 0 0 0 3 11 0 +3969 1974 Master Together 43018 0 1 01-11-2013 46 35 4 17 7 6 64 1 2 2 2 5 0 0 0 0 0 0 3 11 0 +1916 1954 Master Married 45736 0 1 24-07-2013 92 188 3 180 20 3 43 5 7 1 6 7 0 0 0 0 0 0 3 11 0 +9907 1969 Master Together 66476 0 1 04-12-2013 80 742 28 152 25 9 57 2 6 8 10 4 0 0 0 0 0 0 3 11 0 +87 1981 2n Cycle Married 27733 1 0 26-08-2013 16 0 7 5 26 2 17 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +8659 1952 PhD Together 69805 0 1 21-01-2014 50 750 71 174 13 10 20 2 6 8 11 2 0 0 0 0 0 0 3 11 0 +6262 1962 Master Single 72217 0 0 10-04-2013 93 816 42 450 55 56 154 1 3 10 8 2 0 0 0 0 0 0 3 11 0 +6147 1971 Graduation Divorced 25818 1 0 18-10-2012 51 5 2 8 2 2 9 1 0 1 2 7 0 0 0 0 0 0 3 11 0 +8832 1976 Master Together 37509 1 0 12-09-2012 24 37 5 56 12 8 5 2 3 0 4 7 0 0 0 0 0 0 3 11 0 +10067 1976 2n Cycle Together 25176 1 1 10-08-2013 79 4 0 4 0 0 5 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +7532 1980 Graduation Married 43586 0 1 30-08-2012 26 99 2 11 4 0 16 3 3 0 4 8 0 0 0 0 0 0 3 11 0 +4915 1956 2n Cycle Married 53230 0 1 03-08-2012 86 176 72 98 136 21 229 4 5 2 12 5 0 0 0 0 0 0 3 11 0 +2115 1957 Graduation Together 50116 1 1 20-06-2014 68 54 0 10 0 0 2 2 1 0 4 5 0 1 0 0 0 0 3 11 0 +2088 1972 Graduation Together 84906 0 0 04-10-2013 98 997 15 414 99 30 76 1 5 6 12 2 0 1 1 0 1 0 3 11 0 +2493 1966 Graduation Married 61286 0 1 02-08-2013 34 356 0 107 19 9 117 2 7 1 8 5 0 0 0 0 0 0 3 11 0 +6292 1986 PhD Married 82333 0 0 30-03-2013 60 1311 0 359 46 89 17 1 4 3 10 2 0 0 1 0 0 0 3 11 1 +1631 1965 PhD Together 65220 0 0 03-09-2012 3 890 63 292 0 25 12 4 8 4 7 6 0 0 0 0 0 0 3 11 1 +10104 1974 Graduation Together 33590 2 1 03-11-2013 65 4 0 2 0 0 2 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +3006 1976 Graduation Divorced 30992 1 0 22-04-2013 83 17 0 14 7 3 2 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +3919 1976 Master Single 72309 0 0 11-03-2013 64 960 0 883 50 38 0 1 5 6 8 3 0 0 0 1 0 0 3 11 1 +11181 1949 PhD Married 156924 0 0 29-08-2013 85 2 1 2 1 1 1 0 0 0 0 0 0 0 0 0 0 0 3 11 0 +642 1980 Basic Married 16005 1 0 14-08-2012 69 1 3 2 20 30 47 3 2 1 2 8 0 0 0 0 0 0 3 11 0 +4369 1957 Master Absurd 65487 0 0 10-01-2014 48 240 67 500 199 0 163 3 3 5 6 2 0 0 0 0 0 0 3 11 0 +10127 1965 Graduation Married 58692 0 1 06-04-2014 21 301 11 61 4 7 11 1 8 2 4 7 0 0 0 0 0 0 3 11 0 +271 1969 Graduation Widow 40590 1 1 02-10-2013 30 154 0 50 6 11 37 5 3 4 3 6 1 0 0 0 0 0 3 11 0 +4973 1970 Graduation Single 20587 1 0 11-05-2014 39 2 3 6 4 1 9 1 1 1 2 7 0 0 0 0 0 0 3 11 0 +2948 1954 Master Divorced 62637 0 1 01-03-2014 76 104 12 48 4 12 5 1 2 2 5 2 0 0 0 0 0 0 3 11 0 +2715 1966 Master Divorced 29435 1 1 06-08-2012 11 70 3 37 4 2 64 4 3 2 2 9 0 0 0 0 0 0 3 11 1 +10432 1974 Graduation Divorced 19346 1 0 30-01-2014 26 2 0 9 3 6 2 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +9216 1971 Graduation Married 35788 1 1 23-01-2014 34 23 2 11 3 1 4 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +7124 1968 Graduation Divorced 36997 1 1 01-02-2013 72 43 4 12 8 0 27 5 2 1 4 5 0 0 0 0 0 0 3 11 0 +9727 1957 Graduation Married 23539 0 0 28-02-2014 13 4 24 11 16 1 25 1 2 0 4 6 0 0 0 0 0 0 3 11 0 +5136 1973 Graduation Single 65333 0 1 17-01-2014 58 654 7 92 0 15 30 7 9 4 8 6 0 1 1 0 0 0 3 11 0 +9790 1957 Graduation Single 78499 0 0 23-11-2013 12 912 72 170 47 36 97 1 11 3 4 4 0 0 1 0 0 0 3 11 1 +1818 1971 PhD Together 29732 1 0 25-03-2014 23 25 0 8 0 1 4 1 2 0 2 9 0 0 0 0 0 0 3 11 0 +1100 1960 Master Together 41275 1 2 24-03-2014 33 24 4 22 0 2 9 4 3 1 3 5 0 0 0 0 0 0 3 11 0 +7873 1973 PhD Together 63516 1 1 06-07-2013 30 141 11 114 15 14 5 4 4 1 7 5 0 0 0 0 0 0 3 11 0 +10609 1962 PhD Married 42769 0 1 12-10-2013 15 71 0 13 3 1 0 2 1 1 4 4 0 0 0 0 0 0 3 11 0 +6950 1958 Master Married 49572 1 1 15-12-2013 25 35 1 16 0 1 1 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +7233 1972 Graduation Married 69209 0 0 17-09-2012 4 496 32 849 229 48 128 2 5 3 6 4 0 0 0 1 0 0 3 11 0 +9481 1976 Graduation Married 17148 1 0 28-01-2014 80 9 9 11 13 10 16 4 3 1 3 8 0 0 0 0 0 0 3 11 0 +7699 1969 Graduation Widow 40590 1 1 02-10-2013 30 154 0 50 6 11 37 5 3 4 3 6 1 0 0 0 0 0 3 11 0 +2711 1976 Master Together 30560 1 0 27-06-2013 6 9 1 5 4 5 7 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +8933 1983 2n Cycle Married 32146 1 0 12-05-2014 16 26 3 23 4 7 3 2 2 0 4 6 0 0 0 0 0 0 3 11 0 +8726 1964 2n Cycle Divorced 41713 1 1 29-04-2014 57 77 8 44 10 10 25 5 3 1 4 6 0 0 0 0 0 0 3 11 0 +1515 1975 Master Together 34176 0 1 22-01-2014 9 11 2 7 4 2 2 1 1 0 3 3 0 0 0 0 0 0 3 11 0 +5186 1955 PhD Married 58482 0 1 12-03-2014 59 576 7 115 19 7 7 2 7 4 9 6 0 1 0 0 0 0 3 11 0 +10157 1965 Graduation Single 59686 0 1 25-01-2014 78 89 15 89 34 42 5 1 4 1 6 4 0 0 0 0 0 0 3 11 0 +5667 1964 PhD Married 60896 0 1 11-10-2012 90 1013 30 399 60 46 153 3 9 10 4 6 0 0 0 0 0 0 3 11 1 +902 1980 Graduation Together 62994 1 0 04-03-2014 74 224 12 48 4 12 12 1 6 2 4 6 0 0 0 0 0 0 3 11 0 +977 1957 Graduation Together 47320 0 1 01-08-2013 10 200 19 111 50 15 19 6 5 1 8 6 0 0 0 0 0 0 3 11 0 +7313 1949 2n Cycle Widow 74859 0 0 03-06-2013 63 570 73 614 133 102 73 1 6 5 11 3 0 0 0 1 0 0 3 11 0 +7600 1992 Basic Single 15253 1 0 28-10-2013 13 1 3 3 8 1 13 2 1 0 3 7 0 0 0 0 0 0 3 11 0 +9706 1974 PhD Single 31560 1 0 24-06-2013 98 62 1 20 4 0 7 2 2 1 3 8 0 0 0 0 0 0 3 11 0 +2429 1954 Graduation Divorced 72071 0 1 14-02-2013 4 531 69 300 150 138 150 3 5 4 8 2 0 0 0 0 0 0 3 11 0 +3520 1990 Master Single 91172 0 0 27-03-2013 94 162 28 818 0 28 56 0 4 3 7 3 1 0 1 1 1 0 3 11 1 +10394 1984 Graduation Married 90000 0 0 23-12-2013 91 675 144 133 94 192 241 1 4 8 5 1 1 0 1 1 0 0 3 11 0 +4548 1981 Graduation Single 41967 1 1 23-11-2013 66 23 4 10 0 2 15 1 1 0 3 4 0 0 0 0 0 0 3 11 0 +9362 1965 Graduation Single 69263 0 1 05-03-2014 14 492 5 32 13 5 21 1 9 1 7 6 0 1 0 0 0 0 3 11 0 +3968 1970 2n Cycle Divorced 65706 0 0 28-06-2013 77 918 10 129 13 0 129 1 11 3 12 7 0 1 1 0 1 0 3 11 1 +4084 1975 Graduation Together 60934 0 1 17-01-2014 41 224 155 155 192 93 54 2 6 4 11 4 0 0 0 0 0 0 3 11 0 +6721 1951 Graduation Married 71965 0 1 29-07-2013 21 572 19 286 50 38 248 3 6 3 5 3 0 0 0 0 0 0 3 11 0 +2829 1955 Graduation Married 65210 0 1 10-03-2014 25 626 0 70 0 7 28 2 9 3 8 6 0 1 0 1 0 0 3 11 0 +1772 1975 PhD Married 79174 0 0 11-01-2013 2 1074 37 518 193 92 129 1 5 6 7 2 0 0 1 1 0 0 3 11 1 +1544 1967 Master Divorced 81380 0 0 22-12-2012 51 741 68 689 224 68 103 1 4 2 10 2 0 0 0 0 0 0 3 11 0 +492 1973 PhD YOLO 48432 0 1 18-10-2012 3 322 3 50 4 3 42 5 7 1 6 8 0 0 0 0 0 0 3 11 0 +4377 1971 Graduation Married 52914 0 1 07-01-2013 32 254 10 44 30 10 227 2 7 3 3 7 1 0 0 0 0 0 3 11 0 +4541 1955 Graduation Together 38946 0 1 24-10-2013 84 116 6 82 6 6 41 2 3 1 6 5 0 0 0 0 0 0 3 11 0 +1321 1974 Graduation Married 26067 1 0 04-11-2013 49 22 2 18 0 2 12 3 3 0 3 8 0 0 0 0 0 0 3 11 0 +8858 1972 PhD Married 44325 0 1 07-03-2013 69 516 0 21 0 0 5 4 8 2 7 8 0 1 0 0 0 0 3 11 0 +3266 1964 Graduation Married 42523 0 0 23-04-2014 96 14 36 11 3 26 35 1 1 1 4 2 0 0 0 0 0 0 3 11 0 +11187 1978 Basic Single 26487 1 0 20-05-2013 23 2 8 10 12 14 23 3 2 1 3 5 0 0 0 0 0 0 3 11 0 +8207 1957 2n Cycle Married 53233 0 1 18-03-2014 18 28 0 9 3 0 0 1 1 0 3 4 0 0 0 0 0 0 3 11 0 +9723 1960 Graduation Married 67716 0 1 10-01-2013 8 530 142 217 62 9 56 4 7 4 13 5 0 1 0 0 0 0 3 11 0 +2666 1972 Master Married 76234 0 1 06-02-2014 21 519 50 167 130 0 41 1 8 3 11 3 0 1 0 0 0 0 3 11 0 +5721 1956 PhD Married 84117 0 0 11-05-2014 60 611 76 749 59 45 26 1 7 10 6 2 0 0 1 0 0 0 3 11 0 +10652 1957 Master Together 65487 0 0 10-01-2014 48 240 67 500 199 0 163 3 3 5 6 2 0 0 0 0 0 0 3 11 0 +1646 1972 Basic Married 25224 1 0 16-03-2014 36 4 9 12 11 2 8 2 1 1 3 3 0 0 0 0 0 0 3 11 0 +4418 1983 Master Single 89616 0 0 25-02-2013 36 671 47 655 145 111 15 1 7 5 12 2 0 0 0 0 0 0 3 11 1 +2656 1971 Graduation Divorced 40851 1 1 21-02-2013 63 23 1 7 0 4 24 1 1 1 2 7 0 0 0 0 0 0 3 11 0 +7990 1947 Graduation Married 27469 0 0 02-08-2012 2 9 1 2 3 2 0 1 0 0 3 6 0 0 0 0 0 0 3 11 0 +8722 1957 2n Cycle Married 82347 0 0 06-11-2012 38 556 54 845 202 133 63 1 7 7 10 3 1 0 0 1 0 0 3 11 1 +7118 1957 Graduation Married 73803 0 1 01-08-2012 61 833 80 363 52 26 174 2 9 5 6 6 1 0 0 0 0 0 3 11 1 +2980 1952 Master Single 8820 1 1 22-03-2013 52 12 0 13 4 2 4 4 3 0 3 8 0 0 0 0 0 0 3 11 0 +1839 1974 Graduation Single 43322 0 0 21-04-2014 25 56 7 48 10 2 18 1 3 0 4 7 0 0 0 0 0 0 3 11 0 +10722 1973 Graduation Together 55593 0 1 21-08-2013 63 293 8 124 11 4 106 2 6 6 3 6 1 0 0 0 0 0 3 11 0 +2632 1954 Graduation Married 50501 1 1 18-06-2013 10 297 0 38 13 0 152 7 5 4 4 6 1 0 0 0 0 0 3 11 1 +9014 1975 Graduation Married 37085 1 1 26-06-2014 65 39 1 16 2 0 3 4 3 0 3 8 0 0 0 0 0 0 3 11 0 +7620 1990 Basic Single 16185 1 0 05-08-2013 71 5 11 16 21 8 45 2 2 2 2 8 0 0 0 0 0 0 3 11 0 +10968 1969 Graduation Single 57731 0 1 23-11-2012 0 266 21 300 65 8 44 4 8 8 6 6 0 0 0 0 0 0 3 11 0 +11133 1973 PhD YOLO 48432 0 1 18-10-2012 3 322 3 50 4 3 42 5 7 1 6 8 0 0 0 0 0 0 3 11 1 +2736 1978 Graduation Married 73807 0 1 02-01-2013 88 366 124 156 71 78 54 2 5 5 11 2 0 0 0 0 0 0 3 11 0 +1876 1990 Graduation Married 18929 0 0 16-02-2013 15 32 0 8 23 4 18 1 1 0 4 6 0 0 0 0 0 0 3 11 0 +5959 1968 Graduation Single 35893 1 1 15-10-2012 80 158 0 23 0 0 18 6 3 1 5 8 0 0 0 0 0 0 3 11 0 +1092 1980 Graduation Married 61014 0 1 11-08-2012 17 269 129 495 182 43 29 4 9 3 4 7 0 0 0 0 0 0 3 11 0 +4333 1954 Graduation Together 32144 1 1 23-03-2014 76 41 0 10 0 0 3 4 2 1 3 7 0 1 0 0 0 0 3 11 0 +3850 1963 Basic Together 14918 0 1 07-12-2012 52 3 3 3 15 4 15 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +6168 1963 Graduation Divorced 45146 1 1 15-07-2013 28 33 0 5 0 0 15 2 1 1 2 4 0 0 0 0 0 0 3 11 0 +607 1955 2n Cycle Divorced 41769 0 1 13-02-2013 31 302 29 131 32 0 27 6 8 1 7 8 0 0 0 0 0 0 3 11 0 +10469 1981 Graduation Together 88325 0 0 05-02-2014 42 519 71 860 93 27 53 1 6 2 9 2 0 0 0 0 0 0 3 11 0 +6983 1950 Master Divorced 38054 1 1 01-05-2014 24 23 2 17 2 1 0 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +3661 1995 2n Cycle Single 80617 0 0 12-10-2012 42 594 51 631 72 55 32 1 4 6 8 2 0 0 0 0 0 0 3 11 0 +9303 1976 Graduation Married 5305 0 1 30-07-2013 12 12 4 7 1 3 5 0 1 0 0 13 0 0 0 0 0 0 3 11 0 +692 1954 Graduation Together 36807 1 1 20-12-2012 88 4 2 5 0 0 5 1 1 0 2 6 0 0 0 0 0 0 3 11 0 +736 1983 Graduation Together 28427 1 0 21-03-2013 67 18 3 19 3 3 6 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +9589 1948 PhD Widow 82032 0 0 05-04-2014 54 332 194 377 149 125 57 0 4 6 7 1 0 0 0 0 0 0 3 11 0 +4838 1978 Graduation Together 22775 1 0 19-06-2013 40 5 1 8 0 0 1 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +9246 1985 Master Together 40101 1 0 14-10-2012 73 171 3 129 26 24 62 4 6 1 6 7 0 0 0 0 0 0 3 11 0 +6261 1979 Graduation Married 58025 0 1 26-11-2013 81 270 31 88 11 48 22 3 3 2 10 4 0 0 0 0 0 0 3 11 0 +7366 1982 Master Single 75777 0 0 04-07-2013 12 712 26 538 69 13 80 1 3 6 11 1 0 1 1 0 0 0 3 11 1 +10659 1979 2n Cycle Together 7500 1 0 07-05-2013 7 2 8 11 3 8 21 4 3 2 2 7 0 0 0 0 0 0 3 11 0 +1448 1963 Master Married 33562 1 2 25-06-2014 33 21 12 12 0 3 3 3 2 0 4 4 0 0 0 0 0 0 3 11 0 +4286 1970 PhD Single 57642 0 1 09-01-2014 24 580 6 58 8 0 27 3 7 6 6 4 1 0 0 0 0 0 3 11 0 +4749 1968 Graduation Together 58554 1 1 26-09-2012 55 368 24 68 38 0 88 6 8 2 6 7 0 0 0 0 0 0 3 11 0 +4478 1979 Graduation Married 63777 1 1 24-03-2013 87 457 5 106 15 17 53 8 11 1 6 8 0 0 0 0 0 0 3 11 0 +4201 1962 Graduation Single 57967 0 1 03-03-2013 39 229 7 137 4 0 91 5 4 2 8 5 0 0 0 0 0 0 3 11 0 +8720 1978 2n Cycle Together 0 0 12-08-2012 53 32 2 1607 12 4 22 0 0 0 1 0 0 1 0 0 0 0 3 11 0 +10084 1972 Graduation Married 24434 2 0 18-05-2014 9 3 2 8 20 0 17 2 2 1 2 7 0 0 0 0 0 0 3 11 0 +7004 1984 Graduation Single 11012 1 0 16-03-2013 82 24 3 26 7 1 23 3 3 1 2 9 1 0 0 0 0 0 3 11 0 +9817 1970 Master Single 44802 0 0 21-08-2012 71 853 10 143 13 10 20 2 9 4 12 8 0 0 0 0 0 0 3 11 0 +8080 1986 Graduation Single 26816 0 0 17-08-2012 50 5 1 6 3 4 3 1 0 0 3 4 0 0 0 0 0 0 3 11 0 +9432 1977 Graduation Together 666666 1 0 02-06-2013 23 9 14 18 8 1 12 4 3 1 3 6 0 0 0 0 0 0 3 11 0 +8372 1974 Graduation Married 34421 1 0 01-07-2013 81 3 3 7 6 2 9 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +10870 1967 Graduation Married 61223 0 1 13-06-2013 46 709 43 182 42 118 247 2 9 3 4 5 0 0 0 0 0 0 3 11 0 +4001 1946 PhD Together 64014 2 1 10-06-2014 56 406 0 30 0 0 8 7 8 2 5 7 0 0 0 1 0 0 3 11 0 +7270 1981 Graduation Divorced 56981 0 0 25-01-2014 91 908 48 217 32 12 24 1 2 3 13 6 0 1 0 0 0 0 3 11 0 +8235 1956 Master Together 69245 0 1 24-01-2014 8 428 30 214 80 30 61 2 6 5 10 3 0 0 0 0 0 0 3 11 0 +9405 1954 PhD Married 52869 1 1 15-10-2012 40 84 3 61 2 1 21 3 3 1 4 7 0 0 0 0 0 0 3 11 1 diff --git a/lab_3/lab3.ipynb b/lab_3/lab3.ipynb new file mode 100644 index 0000000..714cd53 --- /dev/null +++ b/lab_3/lab3.ipynb @@ -0,0 +1,1000 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Lab 3 Malafeev PIbd-31**" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "1.Определим две бизнес цели. Во-первых, у нас есть в датасете есть столбец NumWebPurchases — количество покупок через интернет. Через него поставим первую бизнес цель: Увеличение продаж через интернет-магазин. Также у нас имеется столбец Response — отклик на текущую кампанию. Через него мы поставим вторую бизнес цель: Анализ отклика на предыдущие кампании для повышения их эффективности." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "2.Цели технического проекта. Для увеличения интернет-продаж:\n", + "\n", + "Разработать модели сегментации клиентов на основе их характеристик (доход, покупки).\n", + "Создать прогнозные модели для определения вероятности веб-покупок.\n", + "\n", + "Для оптимизации кампаний:\n", + "\n", + "Провести анализ данных об откликах клиентов на прошлые кампании.\n", + "Сформировать рекомендации по улучшению таргетирования на основе анализа успешных кампаний." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "3.код\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "((1329, 16), (443, 16), (444, 16))" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sklearn.model_selection import train_test_split\n", + "import pandas as pd\n", + "dataset = pd.read_csv(\".//datasetlab1//marketing_campaign.csv\", sep=\"\\t\")\n", + "\n", + "# Удаление неинформативных столбцов и выбор целевых данных для бизнес-целей\n", + "columns_to_use = [\n", + " \"Income\", \"Kidhome\", \"Teenhome\", \"NumWebPurchases\", \"MntWines\", \n", + " \"MntFruits\", \"MntMeatProducts\", \"MntFishProducts\", \"MntSweetProducts\",\n", + " \"MntGoldProds\", \"AcceptedCmp1\", \"AcceptedCmp2\", \"AcceptedCmp3\", \n", + " \"AcceptedCmp4\", \"AcceptedCmp5\", \"Response\", \"Recency\"\n", + "]\n", + "\n", + "# Очистка данных от пропусков и выбор только необходимых столбцов\n", + "filtered_data = dataset[columns_to_use].dropna()\n", + "\n", + "# Разделение данных на признаки (X) и целевую переменную (y) для оптимизации кампаний\n", + "X = filtered_data.drop(columns=[\"Response\"])\n", + "y = filtered_data[\"Response\"]\n", + "\n", + "# Разбиение на обучающую (60%), контрольную (20%) и тестовую (20%) выборки\n", + "X_train, X_temp, y_train, y_temp = train_test_split(X, y, test_size=0.4, random_state=42, stratify=y)\n", + "X_val, X_test, y_val, y_test = train_test_split(X_temp, y_temp, test_size=0.5, random_state=42, stratify=y_temp)\n", + "\n", + "# Проверка размера выборок\n", + "X_train.shape, X_val.shape, X_test.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "5.Выполним оценку сбалансированности.\n", + "Подсказка: за 0 будем брать не отклик, за 1 - отклик клиента на рекламу." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Распределение классов в обучающей выборке (в процентах):\n", + "Response\n", + "0 84.951091\n", + "1 15.048909\n", + "Name: proportion, dtype: float64\n" + ] + } + ], + "source": [ + "# Импорт необходимых библиотек\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Функция для визуализации распределения классов\n", + "def plot_class_distribution(y, title):\n", + " sns.countplot(x=y)\n", + " plt.title(title)\n", + " plt.xlabel(\"Response (Целевой признак)\")\n", + " plt.ylabel(\"Количество записей\")\n", + " plt.show()\n", + "\n", + "# Оценка сбалансированности классов в выборках\n", + "plot_class_distribution(y_train, \"Распределение классов в обучающей выборке\")\n", + "plot_class_distribution(y_val, \"Распределение классов в контрольной выборке\")\n", + "plot_class_distribution(y_test, \"Распределение классов в тестовой выборке\")\n", + "\n", + "# Проверка пропорций классов в обучающей выборке\n", + "class_distribution_train = y_train.value_counts(normalize=True) * 100\n", + "print(\"Распределение классов в обучающей выборке (в процентах):\")\n", + "print(class_distribution_train)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Сделаем для второй бизнес цели.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Размеры выборок для второй цели:\n", + "Обучающая: (1329, 15), Контрольная: (443, 15), Тестовая: (444, 15)\n" + ] + } + ], + "source": [ + "from sklearn.model_selection import train_test_split\n", + "\n", + "# Целевой признак для второй бизнес-цели\n", + "target_col_2 = 'NumWebPurchases'\n", + "\n", + "# Разделение данных на обучающую, контрольную и тестовую выборки\n", + "X_train_2, X_temp_2, y_train_2, y_temp_2 = train_test_split(\n", + " X.drop(columns=[target_col_2]), # Все признаки, кроме целевого\n", + " X[target_col_2], # Целевой признак\n", + " test_size=0.4, # 40% на контрольную и тестовую выборки\n", + " random_state=42\n", + ")\n", + "\n", + "X_val_2, X_test_2, y_val_2, y_test_2 = train_test_split(\n", + " X_temp_2,\n", + " y_temp_2,\n", + " test_size=0.5, # 50% от оставшихся данных для тестовой выборки\n", + " random_state=42\n", + ")\n", + "\n", + "# Проверим размеры выборок\n", + "print(\"Размеры выборок для второй цели:\")\n", + "print(f\"Обучающая: {X_train_2.shape}, Контрольная: {X_val_2.shape}, Тестовая: {X_test_2.shape}\")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Оценка:" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Распределение классов в обучающей выборке (в процентах):\n", + "NumWebPurchases\n", + "1 15.876599\n", + "2 15.575621\n", + "3 14.672686\n", + "4 13.167795\n", + "5 10.233258\n", + "6 8.577878\n", + "7 6.471031\n", + "8 4.966140\n", + "9 3.837472\n", + "11 2.558315\n", + "0 2.257336\n", + "10 1.655380\n", + "23 0.075245\n", + "27 0.075245\n", + "Name: proportion, dtype: float64\n" + ] + } + ], + "source": [ + "# Функция для визуализации распределения классов\n", + "def plot_class_distribution(y, title):\n", + " sns.countplot(x=y)\n", + " plt.title(title)\n", + " plt.xlabel(\"NumWebPurchases (Целевой признак)\")\n", + " plt.ylabel(\"Количество записей\")\n", + " plt.show()\n", + "\n", + "# Оценка сбалансированности классов в выборках\n", + "plot_class_distribution(y_train_2, \"Распределение классов в обучающей выборке\")\n", + "plot_class_distribution(y_val_2, \"Распределение классов в контрольной выборке\")\n", + "plot_class_distribution(y_test_2, \"Распределение классов в тестовой выборке\")\n", + "\n", + "# Проверка пропорций классов в обучающей выборке\n", + "class_distribution_train_2 = y_train_2.value_counts(normalize=True) * 100\n", + "print(\"Распределение классов в обучающей выборке (в процентах):\")\n", + "print(class_distribution_train_2)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "6.Видим несбалансированность, для Второй бизнес цели выполним Upsampling (увеличение выборки для редких классов). Сделаем покупок больше." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Распределение классов после SMOTE (в процентах):\n", + "Response\n", + "0 50.0\n", + "1 50.0\n", + "Name: proportion, dtype: float64\n" + ] + } + ], + "source": [ + "from imblearn.over_sampling import SMOTE\n", + "\n", + "# Применение SMOTE к обучающей выборке\n", + "smote = SMOTE(random_state=42)\n", + "X_train_balanced, y_train_balanced = smote.fit_resample(X_train, y_train)\n", + "\n", + "# Проверим распределение после аугментации\n", + "plot_class_distribution(y_train_balanced, \"Распределение классов после SMOTE (обучающая выборка)\")\n", + "\n", + "# Проверим процентное распределение\n", + "balanced_distribution = y_train_balanced.value_counts(normalize=True) * 100\n", + "print(\"Распределение классов после SMOTE (в процентах):\")\n", + "print(balanced_distribution)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Для первой бизнес цели:" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Размерность выборки после RandomOverSampler:\n", + "X_train_res: (2954, 15)\n", + "y_train_res: (2954,)\n", + "\n", + "Распределение классов после балансировки (в процентах):\n", + "NumWebPurchases\n", + "2 7.142857\n", + "5 7.142857\n", + "1 7.142857\n", + "8 7.142857\n", + "9 7.142857\n", + "3 7.142857\n", + "11 7.142857\n", + "7 7.142857\n", + "6 7.142857\n", + "4 7.142857\n", + "0 7.142857\n", + "10 7.142857\n", + "23 7.142857\n", + "27 7.142857\n", + "Name: proportion, dtype: float64\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from imblearn.over_sampling import RandomOverSampler\n", + "import pandas as pd\n", + "\n", + "# Применение RandomOverSampler для балансировки классов\n", + "ros = RandomOverSampler(random_state=42)\n", + "X_train_res, y_train_res = ros.fit_resample(X_train_2, y_train_2)\n", + "\n", + "# Выводим новые размеры выборки\n", + "print(f\"Размерность выборки после RandomOverSampler:\")\n", + "print(f\"X_train_res: {X_train_res.shape}\")\n", + "print(f\"y_train_res: {y_train_res.shape}\")\n", + "\n", + "# Распределение классов в обучающей выборке после балансировки\n", + "class_distribution_res = pd.Series(y_train_res).value_counts(normalize=True) * 100\n", + "print(\"\\nРаспределение классов после балансировки (в процентах):\")\n", + "print(class_distribution_res)\n", + "\n", + "# Для визуализации можно использовать график\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Функция для визуализации распределения классов\n", + "def plot_class_distribution(y, title):\n", + " sns.countplot(x=y)\n", + " plt.title(title)\n", + " plt.xlabel(\"Response (Целевой признак)\")\n", + " plt.ylabel(\"Количество записей\")\n", + " plt.show()\n", + "\n", + "# Построение графика распределения классов\n", + "plot_class_distribution(y_train_res, \"Распределение классов после балансировки\")\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "7-8. Делаем лютый кодик, ставим библиотеку, пишем комменты)" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.31.0\n" + ] + } + ], + "source": [ + "import featuretools as ft\n", + "print(ft.__version__)" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Income Kidhome Teenhome MntWines MntFruits \\\n", + "customer_id \n", + "0 -0.263557 1 1 68 0 \n", + "1 -1.102440 1 0 18 3 \n", + "2 0.633408 0 1 225 162 \n", + "3 1.135917 1 0 739 107 \n", + "4 1.299116 0 0 395 183 \n", + "\n", + " MntMeatProducts MntFishProducts MntSweetProducts MntGoldProds \\\n", + "customer_id \n", + "0 16 0 0 8 \n", + "1 19 3 3 6 \n", + "2 387 106 36 29 \n", + "3 309 140 80 35 \n", + "4 565 166 141 28 \n", + "\n", + " AcceptedCmp1 AcceptedCmp2 AcceptedCmp3 AcceptedCmp4 \\\n", + "customer_id \n", + "0 0 0 0 0 \n", + "1 0 0 0 0 \n", + "2 0 0 0 0 \n", + "3 0 0 0 0 \n", + "4 0 0 0 0 \n", + "\n", + " AcceptedCmp5 Recency Income_binned \n", + "customer_id \n", + "0 0 6 1.0 \n", + "1 0 67 0.0 \n", + "2 0 77 1.0 \n", + "3 0 2 2.0 \n", + "4 0 19 2.0 \n", + "Размерность выборки после RandomOverSampler:\n", + "X_train_res: (2954, 17)\n", + "y_train_res: (2954,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Ulstu\\MII\\miivenv\\Lib\\site-packages\\featuretools\\synthesis\\deep_feature_synthesis.py:169: UserWarning: Only one dataframe in entityset, changing max_depth to 1 since deeper features cannot be created\n", + " warnings.warn(\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "from sklearn.preprocessing import KBinsDiscretizer, MinMaxScaler, StandardScaler\n", + "import featuretools as ft\n", + "from imblearn.over_sampling import RandomOverSampler\n", + "\n", + "# 1. One-hot encoding для категориальных признаков\n", + "X_train_2 = pd.get_dummies(X_train_2, drop_first=True)\n", + "X_test_2 = pd.get_dummies(X_test_2, drop_first=True)\n", + "\n", + "# 2. Дискретизация числовых признаков\n", + "discretizer = KBinsDiscretizer(n_bins=5, encode='ordinal', strategy='uniform')\n", + "X_train_2['Income_binned'] = discretizer.fit_transform(X_train_2[['Income']])\n", + "X_test_2['Income_binned'] = discretizer.transform(X_test_2[['Income']])\n", + "\n", + "# 3. Масштабирование признаков\n", + "scaler_minmax = MinMaxScaler()\n", + "X_train_2[['Income']] = scaler_minmax.fit_transform(X_train_2[['Income']])\n", + "X_test_2[['Income']] = scaler_minmax.transform(X_test_2[['Income']])\n", + "\n", + "# Стандартизация признаков\n", + "scaler_standard = StandardScaler()\n", + "X_train_2[['Income']] = scaler_standard.fit_transform(X_train_2[['Income']])\n", + "X_test_2[['Income']] = scaler_standard.transform(X_test_2[['Income']])\n", + "\n", + "# 4. Применение Featuretools для создания признаков\n", + "es = ft.EntitySet(id=\"data\")\n", + "\n", + "# Мы добавляем данные в EntitySet с помощью метода add_dataframe\n", + "es = es.add_dataframe(\n", + " dataframe_name=\"customer_data\",\n", + " dataframe=X_train_2,\n", + " index=\"customer_id\" \n", + ")\n", + "\n", + "# Применяем Featuretools для создания признаков\n", + "# Изменения: теперь указываем `target_dataframe_name` вместо `target_entity`\n", + "features, feature_names = ft.dfs(entityset=es, target_dataframe_name=\"customer_data\")\n", + "\n", + "print(features.head())\n", + "\n", + "# 5. Балансировка выборки с помощью RandomOverSampler\n", + "ros = RandomOverSampler(random_state=42)\n", + "X_train_res, y_train_res = ros.fit_resample(X_train_2, y_train_2)\n", + "\n", + "print(f\"Размерность выборки после RandomOverSampler:\")\n", + "print(f\"X_train_res: {X_train_res.shape}\")\n", + "print(f\"y_train_res: {y_train_res.shape}\")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Видим снизу ошибку: UserWarning: Only one dataframe in entityset, changing max_depth to 1 since deeper features cannot be created\n", + " warnings.warn. Она означает, что EntitySet состоит только из одного DataFrame. Т.е. только одна сущность.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "ТЕперь для другой бизнес цели)" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Income Kidhome Teenhome NumWebPurchases MntWines \\\n", + "customer_id \n", + "0 0.739837 0 1 6 522 \n", + "1 -0.203068 1 1 1 22 \n", + "2 0.160233 0 1 7 479 \n", + "3 1.049812 0 0 4 594 \n", + "4 0.119182 1 2 6 416 \n", + "\n", + " MntFruits MntMeatProducts MntFishProducts MntSweetProducts \\\n", + "customer_id \n", + "0 0 522 227 120 \n", + "1 2 10 6 4 \n", + "2 5 82 7 17 \n", + "3 51 631 72 55 \n", + "4 0 26 0 0 \n", + "\n", + " MntGoldProds AcceptedCmp1 AcceptedCmp2 AcceptedCmp3 \\\n", + "customer_id \n", + "0 134 0 0 0 \n", + "1 34 0 0 0 \n", + "2 171 0 0 1 \n", + "3 32 0 0 0 \n", + "4 4 0 0 0 \n", + "\n", + " AcceptedCmp4 AcceptedCmp5 Recency Income_binned \n", + "customer_id \n", + "0 0 0 28 0.0 \n", + "1 0 0 84 0.0 \n", + "2 0 0 30 0.0 \n", + "3 0 0 42 0.0 \n", + "4 1 0 11 0.0 \n", + "Размерность выборки после RandomOverSampler для первой бизнес-цели:\n", + "X_train_res_1: (2258, 18)\n", + "y_train_res_1: (2258,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Ulstu\\MII\\miivenv\\Lib\\site-packages\\featuretools\\synthesis\\deep_feature_synthesis.py:169: UserWarning: Only one dataframe in entityset, changing max_depth to 1 since deeper features cannot be created\n", + " warnings.warn(\n" + ] + } + ], + "source": [ + "# 1. One-hot encoding для категориальных признаков\n", + "X_train = pd.get_dummies(X_train, drop_first=True)\n", + "X_test = pd.get_dummies(X_test, drop_first=True)\n", + "\n", + "# 2. Дискретизация числовых признаков\n", + "discretizer = KBinsDiscretizer(n_bins=5, encode='ordinal', strategy='uniform')\n", + "X_train['Income_binned'] = discretizer.fit_transform(X_train[['Income']])\n", + "X_test['Income_binned'] = discretizer.transform(X_test[['Income']])\n", + "\n", + "# 3. Масштабирование признаков\n", + "scaler_minmax = MinMaxScaler()\n", + "X_train[['Income']] = scaler_minmax.fit_transform(X_train[['Income']])\n", + "X_test[['Income']] = scaler_minmax.transform(X_test[['Income']])\n", + "\n", + "# Стандартизация признаков\n", + "scaler_standard = StandardScaler()\n", + "X_train[['Income']] = scaler_standard.fit_transform(X_train[['Income']])\n", + "X_test[['Income']] = scaler_standard.transform(X_test[['Income']])\n", + "\n", + "# 4. Применение Featuretools для создания признаков\n", + "es = ft.EntitySet(id=\"data\")\n", + "es = es.add_dataframe(dataframe_name=\"customer_data\", dataframe=X_train, index=\"customer_id\")\n", + "\n", + "# Применяем deep feature synthesis для создания новых признаков\n", + "features, feature_names = ft.dfs(entityset=es, target_dataframe_name=\"customer_data\", max_depth=2)\n", + "\n", + "\n", + "print(features.head())\n", + "\n", + "# 5. Балансировка выборки с помощью RandomOverSampler\n", + "ros = RandomOverSampler(random_state=42)\n", + "X_train_res_1, y_train_res_1 = ros.fit_resample(X_train, y_train)\n", + "\n", + "print(f\"Размерность выборки после RandomOverSampler для первой бизнес-цели:\")\n", + "print(f\"X_train_res_1: {X_train_res_1.shape}\")\n", + "print(f\"y_train_res_1: {y_train_res_1.shape}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Опять то же предупреждение. Итого мы выполнили пункты 7-8." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "9.Начнём работу. Сначала для модели кое что настроим, чтобы она не ругалась)" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "X_train columns: Index(['customer_id', 'Income', 'Kidhome', 'Teenhome', 'NumWebPurchases',\n", + " 'MntWines', 'MntFruits', 'MntMeatProducts', 'MntFishProducts',\n", + " 'MntSweetProducts', 'MntGoldProds', 'AcceptedCmp1', 'AcceptedCmp2',\n", + " 'AcceptedCmp3', 'AcceptedCmp4', 'AcceptedCmp5', 'Recency',\n", + " 'Income_binned'],\n", + " dtype='object')\n", + "X_test columns: Index(['Income', 'Kidhome', 'Teenhome', 'NumWebPurchases', 'MntWines',\n", + " 'MntFruits', 'MntMeatProducts', 'MntFishProducts', 'MntSweetProducts',\n", + " 'MntGoldProds', 'AcceptedCmp1', 'AcceptedCmp2', 'AcceptedCmp3',\n", + " 'AcceptedCmp4', 'AcceptedCmp5', 'Recency', 'Income_binned'],\n", + " dtype='object')\n" + ] + } + ], + "source": [ + "print(\"X_train columns:\", X_train.columns)\n", + "print(\"X_test columns:\", X_test.columns)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Видим, что столбцы отличаются. Выпустим фикс" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "X_train columns: Index(['Income', 'Kidhome', 'Teenhome', 'NumWebPurchases', 'MntWines',\n", + " 'MntFruits', 'MntMeatProducts', 'MntFishProducts', 'MntSweetProducts',\n", + " 'MntGoldProds', 'AcceptedCmp1', 'AcceptedCmp2', 'AcceptedCmp3',\n", + " 'AcceptedCmp4', 'AcceptedCmp5', 'Recency', 'Income_binned'],\n", + " dtype='object')\n", + "X_test columns: Index(['Income', 'Kidhome', 'Teenhome', 'NumWebPurchases', 'MntWines',\n", + " 'MntFruits', 'MntMeatProducts', 'MntFishProducts', 'MntSweetProducts',\n", + " 'MntGoldProds', 'AcceptedCmp1', 'AcceptedCmp2', 'AcceptedCmp3',\n", + " 'AcceptedCmp4', 'AcceptedCmp5', 'Recency', 'Income_binned'],\n", + " dtype='object')\n" + ] + } + ], + "source": [ + "X_train = X_train.drop(columns=['customer_id'], errors='ignore')\n", + "print(\"X_train columns:\", X_train.columns)\n", + "print(\"X_test columns:\", X_test.columns)\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Привели к одниаковым столбцам. Но при попытке обучения вылезала новая ошибка:ValueError: The feature names should match those that were passed during fit. Feature names unseen at fit time: - NumWebPurchases. Залезем посмотреть в них." + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "NumWebPurchases in X_train:\n", + "0 6\n", + "1 1\n", + "2 7\n", + "3 4\n", + "4 6\n", + "Name: NumWebPurchases, dtype: int64\n", + "NumWebPurchases in X_test:\n", + "937 11\n", + "987 9\n", + "8 3\n", + "282 4\n", + "1341 5\n", + "Name: NumWebPurchases, dtype: int64\n" + ] + } + ], + "source": [ + "# Выведем столбец 'NumWebPurchases' из X_train и X_test\n", + "print(\"NumWebPurchases in X_train:\")\n", + "print(X_train['NumWebPurchases'].head()) # Покажем первые 5 значений\n", + "\n", + "print(\"NumWebPurchases in X_test:\")\n", + "print(X_test['NumWebPurchases'].head()) " + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype='int64')\n", + "Index([937, 987, 8, 282, 1341, 1879, 286, 1080, 525, 977], dtype='int64')\n" + ] + } + ], + "source": [ + "print(X_train.index[:10]) # Проверим первые 10 индексов в X_train\n", + "print(X_test.index[:10]) # Проверим первые 10 индексов в X_test\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Видим индексы полетели. Сбросим хехехе" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [], + "source": [ + "X_train = X_train.reset_index(drop=True)\n", + "X_test = X_test.reset_index(drop=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "NumWebPurchases in X_train: 0 6\n", + "1 1\n", + "2 7\n", + "3 4\n", + "4 6\n", + "Name: NumWebPurchases, dtype: int64\n", + "NumWebPurchases in X_test: 0 11\n", + "1 9\n", + "2 3\n", + "3 4\n", + "4 5\n", + "Name: NumWebPurchases, dtype: int64\n" + ] + } + ], + "source": [ + "print(\"NumWebPurchases in X_train:\", X_train['NumWebPurchases'].head())\n", + "print(\"NumWebPurchases in X_test:\", X_test['NumWebPurchases'].head())\n" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Accuracy: 0.8761261261261262\n", + "ROC-AUC: 0.8519339641315966\n", + "Время обучения модели: 0.2755 секунд\n", + "Время предсказания: 0.0070 секунд\n", + "Средняя точность по кросс-валидации: 0.8736\n", + "Корреляция признаков с целевой переменной:\n", + "Response 1.000000\n", + "AcceptedCmp5 0.323374\n", + "AcceptedCmp1 0.297345\n", + "AcceptedCmp3 0.254005\n", + "MntWines 0.246299\n", + "MntMeatProducts 0.237746\n", + "AcceptedCmp4 0.180205\n", + "AcceptedCmp2 0.169294\n", + "NumWebPurchases 0.151431\n", + "MntGoldProds 0.140332\n", + "Income 0.133047\n", + "MntFruits 0.122443\n", + "MntSweetProducts 0.116170\n", + "MntFishProducts 0.108145\n", + "Kidhome -0.077909\n", + "Teenhome -0.153901\n", + "Recency -0.199766\n", + "Name: Response, dtype: float64\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " precision recall f1-score support\n", + "\n", + " 0 0.89 0.98 0.93 377\n", + " 1 0.70 0.31 0.43 67\n", + "\n", + " accuracy 0.88 444\n", + " macro avg 0.79 0.64 0.68 444\n", + "weighted avg 0.86 0.88 0.86 444\n", + "\n" + ] + } + ], + "source": [ + "import time\n", + "import pandas as pd\n", + "import numpy as np\n", + "from sklearn.model_selection import train_test_split, cross_val_score\n", + "from sklearn.metrics import accuracy_score, roc_auc_score, classification_report\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# 1. Оценка предсказательной способности (Accuracy и ROC-AUC для бинарной классификации)\n", + "model = RandomForestClassifier(random_state=42)\n", + "\n", + "start_time = time.perf_counter()\n", + "model.fit(X_train, y_train)\n", + "end_time = time.perf_counter()\n", + "\n", + "train_time = end_time - start_time\n", + "\n", + "y_pred = model.predict(X_test)\n", + "accuracy = accuracy_score(y_test, y_pred)\n", + "roc_auc = roc_auc_score(y_test, model.predict_proba(X_test)[:, 1])\n", + "\n", + "print(f\"Accuracy: {accuracy}\")\n", + "print(f\"ROC-AUC: {roc_auc}\")\n", + "print(f\"Время обучения модели: {train_time:.4f} секунд\")\n", + "\n", + "# 2. Оценка скорости вычисления (время предсказания)\n", + "start_time = time.perf_counter()\n", + "y_pred = model.predict(X_test)\n", + "end_time = time.perf_counter()\n", + "predict_time = end_time - start_time\n", + "\n", + "print(f\"Время предсказания: {predict_time:.4f} секунд\")\n", + "\n", + "# 3. Оценка надежности модели с помощью перекрестной проверки\n", + "cv_scores = cross_val_score(model, X, y, cv=5, scoring='accuracy')\n", + "mean_cv_score = np.mean(cv_scores)\n", + "print(f\"Средняя точность по кросс-валидации: {mean_cv_score:.4f}\")\n", + "\n", + "# 4. Оценка корреляции признаков с целевой переменной\n", + "correlation_matrix = pd.concat([X, y], axis=1).corr()\n", + "correlation_with_target = correlation_matrix['Response'].sort_values(ascending=False)\n", + "print(\"Корреляция признаков с целевой переменной:\")\n", + "print(correlation_with_target)\n", + "\n", + "# Визуализация корреляции\n", + "plt.figure(figsize=(10, 8))\n", + "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt='.2f')\n", + "plt.title('Корреляционная матрица признаков')\n", + "plt.show()\n", + "\n", + "# Дополнительная информация о модели\n", + "print(classification_report(y_test, y_pred))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "ВРОДЕ ВСЁ Я ТАК ДОЛГО ЧИНИЛСЯ" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "miivenv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}