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0.6215 12 10 7.5 1 10 25 . 100

0 0 0 5 34 12 . 0 3185 41 13

15700 0.7515 7 7 7.5 1 0

. 0

0 0 2 1 33 13 . 0

37 17

0.5215 12 10 5 1 4

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0 0 3 1 31 13 . 0 3600 36 17

0.4415 12 16 11 0 3

. 9

0 0 0 0 58 8 . 0

58 8 1.4806

0.7515 12 7 7.5 1 2

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0 0 0 0 49 12 . 0 2874 52 8

8000 0.7515 7 7 3 0 1 8 . 1

0 0 0 1 55 8 . 0 1936 56 9

0.7215 7 3 7.5 1 0 13.4 . 0

0 0 0 0 44 14 . 1.5

49 8

0

0.6615 12 12 14 1 1 23.7 . 1

0 0 0 0 44 9 . 0 1900 48 8

18900 0.6915 7 7 11 1 1 18.9 . 1

0 0 0 3 36 16 . 0 2500 37 17 19

0.4615 7 12 9.5 1 6

. 36

0 0 0 3 38 12 . 0

46 14

24470 0.6615 14 14 9.5 1 12

. 144

0 0 0 3 37 16 . 0

38 17

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0 0 0 0 47 12 . 0 2208 51 12

0.6215 12 7 5 1 9

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0 0 0 3 47 12 . 0

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0.7515 12 10 7.5 1 14

. 196

0 0 1 1 32 12 . 0 2250 33 12

14800 0.7215 7 7 9 1 13 14.8 . 169

0 0 1 2 43 12 . 0 2000 46 12 6.1

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0 0 1 4 42 11 . 0 2600 48 10 4.2308

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0 0 0 0 56 12 . 0

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0 0 0 5 38 13 . 2.25

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0 0 0 2 52 12 . 0 2218 51 11

0.7215 7 7 14 1 13 14.6 . 169

0 0 0 0 50 12 . 0 1848 56 12

0.6615 12 12 7.5 1 3 21.6 . 9

0 0 0 0 33 16 . 0 2430 33 17

24000 0.6615 12 12 7.5 1 8 24 . 64

0 0 0 2 44 16 . 0 2640 44 17

0.6915 7 7 7.5 1 8

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0 0 0 1 41 12 . 0

42 16

19500 0.6915 7 7 14 0 18 19.5 . 324

0 0 0 1 45 12 . 0

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0 0 0 0 53 14 . 0 2500 55 16 16

0.5215 7 7 7.5 0 3

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0 0 0 0 53 14 . 0 1665 56 17

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0 0 0 1 42 12 . 0

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0.7215 12 10 9.5 1 2 16.1 . 4

0 0 2 0 32 13 . 0

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14700 0.7215 12 17 7.5 1 10 14.7 . 100

0 0 0 0 56 12 . 0 2500 53 12 6

0.7215 7 7 7.5 1 30 18.8 . 900

0 0 1 3 37 11 . 0 2205 40 11

0.7515 10 7 11 1 1

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0 0 1 2 40 12 . 0 2460 42 14

0.6915 12 7 14 1 5 21 . 25

0 0 0 3 54 15 . 0 1880 55 16

0.6215 0 7 7.5 1 8

. 64

0 0 0 0 53 7 . 0

53 9 1.48

0.7515 7 7 7.5 0 0 10.7 . 0

0 0 0 1 48 12 . 0 2450 51 12

24500 0.6615 7 7 9.5 1 4

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0 0 1 2 36 12 . 0

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0 0 0 0 57 12 . 0 2146 52 14

18800 0.6915 7 7 7.5 1 30 18.8 . 900

0 0 0 0 51 12 . 0

49 7

14000 0.7215 10 7 14 1 25 14 . 625

0 0 0 4 33 13 . 0 3096 37 12

0.7215 7 0 3 0 3

. 9

0 0 0 0 52 12 . 0

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0.7515 7 7 7.5 1 20

. 400

0 0 0 0 56 10 . 0 1680 60 8 2.9762 8300 0.7815 0 7 7.5 1 20 8.3 . 400
0 0 1 2 36 12 . 0 2625 38 11

0.7515 14 9 7.5 1 0 14.2 . 0

0 0 1 0 36 14 . 0

50 16

0.6915 12 12 7.5 0 15

. 225

0 0 0 1 46 12 . 0 2178 47 10

0.5815 10 7 14 1 10

. 100

0 0 0 3 31 10 . 0 960 33 9 3.6458 4350 0.9415 7 7 7.5 0 4 4.35 . 16
0 0 0 0 52 11 . 0 2210 51 12

24000 0.6615 7 7 11 1 3 24 . 9

0 0 0 2 46 12 . 0

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0.6915 7 7 7.5 1 10 18.3 . 100

0 0 2 0 35 12 . 0 1960 44 16

17200 0.7215 7 3 7.5 1 9 17.2 . 81

0 0 0 0 59 12 . 0 1920 56 10

0.6915 7 7 14 0 7

. 49

0 0 0 1 36 8 . 0 2286 40 12 4.287 13400 0.7515 0 0 14 0 12 13.4 . 144
0 0 1 3 51 7 . 0 2000 52 7 10.5

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0 0 1 0 31 16 . 0 2256 31 12

0.6915 12 12 9 1 16 18.2 . 256

0 0 0 2 31 14 . 0 2370 36 17

28000 0.6215 12 12 14 1 4 28 . 16

0 0 1 1 32 12 . 0 1800 39 13

0.7515 12 12 7.5 1 7

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0 0 1 2 35 16 . 0 2250 38 16

0.6215 12 7 14 1 7

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0 0 0 3 40 12 . 4.1 1080 43 12

0.7515 7 10 7.5 1 14

. 196

0 0 1 2 33 10 . 0

38 12

0.7815 7 7 14 0 2

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0 0 0 0 54 7 . 0 2250 52 11 4.4444

0.7515 0 0 3 1 20

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0 0 1 1 36 12 . 0

37 12

0.7215 12 12 7.5 1 5 16.7 . 25

0 0 0 1 50 10 . 0 2300 60 8

8400 0.7815 12 7 3 0 10 8.4 . 100

0 0 0 0 54 8 . 0 2860 49 8

13000 0.7215 0 0 3 0 20 13 . 400

0 0 0 1 48 11 . 0 1765 49 12

0.7215 7 7 7.5 1 10

. 100

0 0 0 4 41 15 . 0 2520 42 16

0.7215 14 17 5 0 8

. 64

0 0 0 4 50 12 . 0 2208 53 12 10.87 31000 0.6615 12 7 14 1 11 31 . 121
0 0 0 2 46 12 . 0 2119 51 8

0.7215 10 7 7.5 1 3

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0 0 0 1 42 13 . 0 2580 47 17

0.5815 12 12 7.5 0 6

. 36

0 0 1 2 31 9 . 0 1984 34 12

0.7915 3 3 14 0 4 10.19 . 16

0 0 0 0 53 12 . 0 1880 58 8

21

0.7215 10 10 14 0 4

. 16

0 0 0 1 51 12 . 0 2185 57 12

0.6215 3 3 7.5 1 9

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0 0 0 1 47 12 . 0 2080 57 12

0.7515 7 9 11 1 10 17.7 . 100

0 0 0 1 50 12 . 0 1920 50 12

0.6215 12 12 14 1 3

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0 0 0 1 37 6 . 0 3000 52 5 2.6667

0.7515 7 7 7.5 0 2

9

. 4

0 0 2 2 30 12 . 0 2100 31 12

0.5815 12 12 11 0 2 35 . 4

0 0 0 0 49 12 . 0

39 12

8630 0.7915 16 16 5 1 0 8.63 . 0

0 0 0 2 52 12 . 0 2600 49 16 5

0.7515 7 0 14 1 8

. 64

0 0 0 2 47 12 . 0 1984 49 16

0.7215 10 7 14 1 6

. 36

0 0 0 0 49 12 . 0 2064 53 12

16000 0.7215 7 7 11 1 15 16 . 225

0 0 0 4 44 12 . 0

31 16

0.7515 12 10 14 1 15

. 225

0 0 0 0 53 8 . 0 2776 59 9

17500 0.6915 9 9 9.5 1 9 17.5 . 81

0 0 1 0 30 12 . 0 2315 31 13

0.6915 7 12 14 0 8

. 64

0 0 0 2 54 12 . 0 1880 55 12

0.7215 7 10 7.5 1 18

. 324

0 0 1 1 47 7 . 0 2160 51 7

0.6915 0 0 7.5 1 3 21.8 . 9

0 0 0 0 56 15 . 0 900 56 12

7700 0.7515 7 7 14 1 10 7.7 . 100

0 0 0 1 49 12 . 0 2467 52 16

31800 0.5815 7 7 11 0 6 31.8 . 36

0 0 0 0 48 6 . 0 1820 55 12

0.7515 7 7 9.5 1 20

. 400

0 0 0 1 49 12 . 0 2223 53 10

13399 0.7515 10 12 9.5 0 8

. 64

0 0 0 1 56 12 . 0

60 12

0.7215 12 16 11 0 3

. 9

0 0 0 0 46 12 . 0 1928 46 11

0.6615 7 7 7.5 1 4

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0 0 0 2 45 12 . 0

49 17

37300 0.5515 12 12 14 1 13 37.3 . 169

0 0 0 2 32 12 . 0 1960 35 12 5.6122 11000 0.7515 12 7 11 1 4 11 . 16
0 0 1 1 43 12 . 2.7 1920 41 12

0.7515 7 7 14 1 17

. 289

0 0 1 1 34 12 . 0 1587 39 12

13700 0.7215 7 7 9.5 1 4 13.7 . 16

0 0 1 1 30 12 . 0

51 10

0.6615 7 10 5 0 0 25.1 . 0

0 0 2 0 38 17 . 4.8 2280 39 12

18600 0.6915 12 16 5 1 15

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0 0 1 1 33 16 . 0 2750 36 17

45

29000 0.6215 16 16 9.5 0 11 29 . 121

0 0 0 0 52 12 . 0 2115 55 12

0.6915 7 7 9.5 1 23

. 529

0 0 0 3 43 11 . 0 2590 45 12

0.7215 12 14 7.5 1 1

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0 0 1 1 33 12 . 0

34 12

0.7515 12 7 9.5 0 5 9.45 . 25

0 0 0 0 45 10 . 0

48 12

30000 0.5815 7 7 7.5 0 1 30 . 1

0 0 2 1 36 10 . 0 2096 38 12

15000 0.7215 10 10 14 1 5 15 . 25

0 0 1 1 34 12 . 0

39 17

0.6615 12 12 9.5 1 3

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0 0 0 2 37 14 . 0

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0.7215 10 14 11 0 3 15.9 . 9

0 0 0 1 46 10 . 0 1880 51 12 7.9787

0.7215 7 7 11 0 19

4

. 361

0 0 0 0 47 12 . 0

55 10

0.7515 12 12 9.5 1 20 21.1 . 400

0 0 2 1 31 16 . 0 3250 32 16

23000 0.6615 12 12 7.5 1 5 23 . 25

0 0 0 0 57 5 . 0 1520 58 5

0.7715 7 7 14 0 0 6.34 . 0

0 0 1 1 30 12 . 0

30 13

0.4915 10 10 5 1 3

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0 0 0 0 30 12 . 0 640 43 17

0.7215 12 10 11 1 3

. 9

0 0 0 3 44 12 . 0 2250 45 12 6.8

0.7215 12 12 9.5 1 7

. 49

0 0 0 0 53 13 . 0 3000 53 13 6.6667

0.6615 7 12 7.5 1 7 20.2 . 49

0 0 0 0 51 8 . 0

54 8

0.7215 7 7 9.5 1 1

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0 0 1 3 39 12 . 0 2412 36 14 10.24

0.6615 12 7 5 1 13

. 169

0 0 0 0 52 8 . 0

54 12

23000 0.6915 7 3 3 0 0 23 . 0

0 0 0 4 46 8 . 0 2304 50 12

0.7215 3 3 11 1 0

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0 0 0 5 47 12 . 0 3120 49 12 0.9615 5550 0.9415 7 7 3 0 12 5.55 . 144
0 0 0 2 52 8 . 0 1670 54 8

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0 0 0 2 45 12 . 0 2137 46 15

0.6215 10 14 7.5 1 5 29.3 . 25

0 0 0 0 60 11 . 0

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0 0 0 2 41 13 . 0 1960 54 7

0.7215 17 7 11 0 10

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0 0 0 3 39 8 . 0 2068 45 12

0

0.7215 7 7 7.5 1 2 21.5 . 4

0 0 0 1 49 12 . 0

51 12

0.7515 7 7 7.5 0 3

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0 0 1 1 32 15 . 0 2295 37 13

0.4415 12 12 14 1 1

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0 0 1 3 33 12 . 0 2970 34 13

0.6615 12 12 14 1 5 23.5 . 25

0 0 0 4 36 10 . 0 2068 37 8

15500 0.7515 7 9 14 0 10 15.5 . 100

0 0 3 3 37 13 . 0 2419 39 14

0.7715 7 0 5 0 4

. 16

0 0 1 2 30 12 . 0 2150 34 11

8100 0.7815 12 12 11 0 7 8.1 . 49

0 0 1 1 44 11 . 0 1152 37 10

9800 0.7515 7 12 9.5 1 9 9.8 . 81

0 0 0 1 48 12 . 0 2640 49 12

20300 0.6915 7 12 5 1 5 20.3 . 25

0 0 0 4 40 11 . 0 2550 45 11 5.8824 15000 0.7515 7 7 14 1 4 15 . 16
0 0 0 0 47 13 . 0 1360 49 16

0.4415 9 9 5 1 11

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0 0 0 2 36 12 . 0 2420 40 12

0.7215 12 7 5 1 9

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0 0 0 2 40 11 . 0 2205 42 14

0.6915 7 12 5 1 4

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0 0 0 1 46 12 . 0 3268 46 12

0.9415 12 7 7.5 1 2

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0 0 0 0 52 12 . 0

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18500 0.6915 3 12 7.5 0 23 18.5 . 529

0 0 0 1 44 12 . 0 1800 45 12

0.7515 12 12 11 0 3 13.39 . 9

0 0 0 1 45 10 . 0

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15150 0.7215 7 7 7.5 1 15 15.15 . 225

0 0 2 1 30 7 . 0 1920 35 7 4.0625 16200 0.7815 7 3 7.5 0 8 16.2 . 64
0 0 1 3 40 12 . 0 2080 44 12

0.6615 12 12 14 1 3

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0 0 0 1 43 12 . 0 2856 43 12

14000 0.7215 7 12 7.5 0 25 14 . 625

0 0 0 2 49 12 . 0 2115 53 10

0.7515 12 3 11 1 2

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0 0 1 4 46 12 . 3.45 1880 48 12 12.766

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0 0 0 0 52 11 . 0 2000 52 12 6

0.7515 7 7 11 0 19 12.4 . 361

0 0 1 1 31 12 . 0

33 15

0.6915 7 10 9.5 1 3

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0 0 1 1 42 10 . 0 1677 47 11

0.7515 7 7 5 0 7

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0 0 0 3 33 11 . 0 2184 38 8

0.6915 7 14 7.5 1 1

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0 0 0 0 57 16 . 0 3185 57 13

0.4415 7 12 14 1 9 57 . 81

0 0 0 0 49 10 . 0 2680 51 10

0.6915 10 10 11 1 3 18.29 . 9

0 0 0 1 45 14 . 0 3615 47 14

0.6915 14 12 11 1 8

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0 0 0 0 56 11 . 0 2139 56 12

0.6915 7 7 14 1 0 22.15 . 0

0 0 1 3 41 12 . 0 3080 43 12

0.6215 10 10 7.5 1 5

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0 0 0 0 56 5 . 0

53 6

0.7515 3 3 14 1 20

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0 0 0 1 48 10 . 0 2227 48 10

0.6915 7 7 5 1 3 22 . 9

0 0 0 2 52 16 . 0 1920 53 16 9.375

0.6615 12 10 7.5 1 12

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0 0 0 0 51 12 . 0 2350 55 12

0.7215 7 7 14 1 5

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0 0 0 3 35 11 . 0 1785 39 10

0.7515 7 7 7.5 0 1

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0 0 0 0 45 12 . 0

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0 0 0 0 54 12 . 0

58 17

0.5815 7 7 9.5 1 7 32 . 49

0 0 0 2 54 12 . 0 2450 54 13

0.7215 10 10 9.5 1 13

. 169

0 0 1 0 31 12 . 0 1218 32 8

0.7515 7 7 3 0 3

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0 0 0 3 53 6 . 0 2040 54 4

0.9415 7 7 11 0 0

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0 0 2 2 35 14 . 0 2600 34 14

0.5515 16 14 3 0 2 36 . 4

0 0 1 3 36 12 . 0 2450 40 16

26900 0.6615 12 16 7.5 0 0

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0 0 0 0 59 12 . 0

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0 0 0 0 54 16 . 0 2701 54 17

0.5815 16 17 5 1 1

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0 0 1 1 37 12 . 0 2600 47 17

0.5515 7 7 9 1 10

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0 0 0 0 44 12 . 0 3640 54 10

1500 0.9415 7 7 7.5 1 10 1.5 . 100

0 0 1 2 34 17 . 0 2940 40 16

0.4415 12 12 5 1 1 96 . 1

0 0 0 0 49 12 . 0 1880 50 12

0.6915 7 7 11 0 3 18.15 . 9

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15500 0.7215 7 7 3 0 32 15.5 . 1024

0 0 0 0 60 9 . 0

60 8

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0 0 0 0 51 12 . 0 1605 55 12

0.7215 7 7 7.5 1 7

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0 0 1 1 30 12 . 0 2500 30 14 8.8 22000 0.6615 12 10 5 1 5 22 . 25
0 0 0 2 47 12 . 0 2400 49 9 7.75

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0 0 0 4 36 12 . 0

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24400 0.6615 12 12 7.5 1 5 24.4 . 25

0 0 1 3 35 12 . 0 2260 38 12

24000 0.6615 7 7 9.5 1 3 24 . 9

0 0 0 0 58 12 . 0 3478 53 12

15500 0.7215 12 9 11 0 25 15.5 . 625

0 0 1 3 41 14 . 0 2550 42 16

30800 0.6215 14 12 7.5 0 0

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0 0 0 1 51 10 . 0 840 52 8 9.5238

0.7515 7 7 14 1 3

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0 0 0 0 47 12 . 0 1520 52 12

0.7215 7 7 11 0 10

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0 0 1 2 45 9 . 0 1920 35 9

0.7515 12 3 11 0 10

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0 0 0 0 60 14 . 0

55 17

0.4415 16 14 14 1 7

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0 0 1 1 30 16 . 2 1896 46 16

25700 0.6615 12 12 9.5 1 5 25.7 . 25

0 0 0 0 55 11 . 0 1960 57 13

29000 0.5815 7 3 5 1 15 29 . 225

0 0 1 2 32 12 . 0 3060 50 8

0.7815 10 7 3 0 1

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0 0 0 2 36 12 . 0 2805 38 12

0.5215 7 7 3 0 5

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0 0 0 0 55 12 . 0 1944 53 7

0.7515 3 3 14 0 9

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0 0 0 0 47 12 . 0 1960 47 12 2.999

0.7715 3 3 14 0 18

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0 0 0 1 47 12 . 0 2112 52 8

18200 0.6915 7 7 14 1 1 18.2 . 1

0 0 0 1 37 11 . 0

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27000 0.6215 12 7 3 0 0 27 . 0

0 0 0 2 50 12 . 0 1700 53 17

0.5815 10 12 3 0 6

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0 0 0 3 30 12 . 0 2550 31 12

12000 0.7515 3 7 14 0 1 12 . 1

0 0 0 1 48 17 . 0 2080 45 17

0

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0 0 0 2 43 10 . 0 2060 49 12

0.7215 10 10 5 1 15

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0 0 1 0 48 11 . 0 1955 46 8

0.7515 7 7 3 0 25

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0 0 1 2 41 14 . 0 2500 44 17 10 27000 0.6615 17 7 14 1 1 27 . 1
0 0 0 0 50 12 . 0 2750 52 10

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0 0 0 0 58 8 . 0 2040 59 5 7.8529

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28200 0.6615 12 16 7.5 1 0 28.2 . 0

0 0 0 1 37 12 . 0 2400 39 12

34000 0.6615 7 12 5 0 8 34 . 64

0 0 0 0 50 16 . 0 2024 51 17

0.4415 12 7 9.5 1 22

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0 0 0 4 42 8 . 0 1840 44 6

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0 0 1 3 37 9 . 0 2033 37 17

0.7215 10 10 9.5 1 10

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0 0 0 2 41 16 . 0 1946 40 17

51000 0.4415 16 17 9 1 1 51 . 1

0 0 0 2 31 12 . 0

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0 0 0 0 51 12 . 0 2088 55 11

0.6615 7 7 5 1 6 21.9 . 36

0 0 1 2 36 12 . 0 2048 41 12

0.7515 7 7 5 0 4

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0 0 0 0 54 15 . 0 1920 52 15 10.417 20000 0.6915 14 16 14 0 6 20 . 36
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0 0 1 2 41 12 . 0 1665 44 14

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0 0 0 0 55 16 . 0 2304 56 11

13000 0.7215 12 12 7.5 0 33 13 . 1089

0 0 0 0 42 9 . 0 2275 46 8 4.3956 10000 0.7515 7 7 5 1 2 10 . 4
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0 0 1 3 33 12 . 0

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15000 0.7215 7 7 5 1 0 15 . 0

0 0 0 1 48 15 . 0 2205 51 16

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0 0 0 2 43 12 . 0 1990 48 9

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0 0 1 3 47 17 . 0

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0 0 0 0 54 12 . 0 1350 60 12

35000 0.5515 12 12 7.5 1 10 35 . 100

0 0 0 1 51 12 . 0

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0.6615 7 3 7.5 1 6

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0 0 0 1 51 10 . 0 960 57 10

0.7515 14 7 7.5 0 18

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0 0 1 1 43 13 . 0 2732 42 13

0.6215 12 10 7.5 0 15

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0 0 0 0 53 12 . 0 1624 59 8

0.7515 0 3 3 0 30 9.56 . 900

0 0 1 1 34 11 . 0 1804 36 12

30300 0.6215 7 7 7.5 0 15 30.3 . 225

0 0 1 1 31 8 . 0 2805 31 10

0.7815 7 7 7.5 0 10 7.72 . 100

0 0 0 0 56 12 . 0 2160 59 8

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0 0 0 1 42 16 . 0 2052 55 15 10.2

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0 0 0 2 32 12 . 0 2250 35 16 10

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0 0 1 3 35 12 . 0 1120 37 12

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0 0 1 1 30 12 . 0 2450 36 14 9.7959

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0 0 0 0 51 10 . 0

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0 0 0 3 47 12 . 0 2700 48 12

28200 0.7215 7 7 3 0 3 28.2 . 9

0 0 0 1 54 12 . 0

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16150 0.7215 3 7 3 0 1 16.15 . 1

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0 0 0 3 47 14 . 0 1864 42 16

19000 0.6915 7 7 11 1 6 19 . 36

0 0 0 3 40 12 . 0 2400 39 12

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0 0 0 0 48 8 . 0 2160 50 7

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0 0 0 7 34 8 . 0 1040 51 7 4.8077

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0 0 0 3 38 12 . 0 2450 42 16

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0 0 1 3 32 12 . 0 2500 34 16 19

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0 0 0 1 48 16 . 0

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28900 0.6215 12 7 7.5 1 8 28.9 . 64

0 0 0 2 41 12 . 0 2165 46 7

12400 0.7715 7 7 7.5 0 18 12.4 . 324

0 0 0 2 49 5 . 0 2230 43 3

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0 0 0 0 59 8 . 0 1995 55 12

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0 0 0 0 58 13 . 0 2025 57 16

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0 0 0 3 41 12 . 0 2450 48 15

0.4415 7 14 14 1 8 77 . 64

0 0 0 2 45 12 . 0 2160 45 12

09

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0 0 1 1 30 14 . 0 1715 32 17

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0 0 0 1 41 12 . 0 3018 42 16

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0 0 2 0 30 12 . 0

33 16

0.7515 10 10 7.5 0 9 12.1 . 81

0 0 0 1 53 12 . 0 2499 54 12

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0 0 0 0 31 12 . 0 2250 37 14 8 18000 0.6915 10 7 7.5 0 12 18 . 144
0 0 0 2 43 14 . 0

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0 0 1 1 31 12 . 0 2016 30 14

14000 0.7515 12 14 14 1 6 14 . 36

0 0 0 0 51 12 . 0 2470 60 10

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0 0 0 0 43 9 . 0 1640 45 12

11895 0.7715 7 7 5 1 17

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0 0 1 2 31 14 . 0 2016 34 16

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0 0 0 0 48 11 . 0 2185 48 12

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0 0 1 1 31 12 . 0 800 33 14 3 4000 0.8015 12 7 9.5 1 10 4 . 100
0 0 0 1 44 12 . 0

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40500 0.5815 7 7 7.5 1 5 40.5 . 25

0 0 0 1 48 11 . 0

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0 0 0 1 53 12 . 0 2677 53 12

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5.3398 2585 7.7369 27900 22.40001 1.675188
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7.0667 6.5337 14136 14.03 1.955394
2.5253 4.686 19900 14.8 0.9263599
7.8947 37000 25.00006 2.066192
4.1489 4.053 18500 10.7 1.422843
1260 8.17 8.1633 34550 24.25 2.101032
1092 9.5971 16.5 49620 39.13997 2.261461
1587 2.0164 2080 10400 7.199973 0.7013138
7.6218 2413 11.361 33000 31.8 2.031013
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9.6059 22660 20.66 0.4700036
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1.4815 2802 8.8865 25780 25.3 0.3930551
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15.686 35207 34.857
2794 5.2423 35702 28.502 1.568616
3290 3.0395 1780 12.9 1.710188
2318 1911 16.745 50900 41.39991
17280 14.7
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2.3636 1740 9.0029 17465 16.16502 0.8601859
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2146 2036 8.6248 32011 18.15 1.976107 1444
2540 2.4484 3536 4.8329 28.9 0.8954347
1.1987 10.909 13579 13.39 0.1812376
2007 3.8864 10455 9.17502 0.4953058
1.7821 2632 8.4574 27.03985 0.5777924
2.9412 19150 1

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1610 4.9689 7.4212 16.40007 1.603199
3625 4.4938 21700 21.29999
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2.907 5.5556 16500 12.49997 1.067122
3.0612 2535 7.4951 30000 27.00002 1.118807
1838 4.8966 2352 22.109 62500 53.50005 1.588541
1494 4.0161 3036 9.058 58500 52.49995 1.390311
11.538 40900 38.39998 1.714806
1976 1.2227 2.45 2223 6.0468 16308 13.89194 0.2010615
2.6839 3.61 1.3653 9300 3.899993 0.987271
2.6738 2006 16.55 35700 34.2 0.98

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2.5429 2.74 4.5173 12239 7.788925 0.9333052
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2895 4.1451
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4.375 7.3061 1.475906
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1663 4.3295 5.2632 3

2275 25.07504 1.465452
8.9286 10.526 33220 18.21995 2.18926
26500
2.6565 2630 12.548 38700 34.50007 0.9

7700
3.08 2597 4.6207 15400 0.9162908
18.267 2760 1.854 19007 10.78685 2.905096
0.819 7.4266 1677 16.32301 -0.1996712
2256 13.298 30.5
15.3 26.578 66300 51.2 2.733393
6.4775 2364 13.959 43550 33.04997 1.868335
13.126 37250 34.75001 2.12026
1868 4.5503 2041 7.8883 24900 16.40004 1.515193
1803 2.4958 8.656 24200 19.70007 0.9146093
4.4797 1935 3.4109 6.600003 1.499556
2.2324 4.6256 11431 9.020008 0.8030772
2.071 13200 0.7280316
1.676 4.2708 15420 14.51999 0.51641
3.4091 3.3424 1

8400 1.226448
3680 8.6359 4350
3.9609 4.07 6.7581 21972 13.87196 1.376471
1253 6.2275 0.5843 7774 -0.0290575 1.828975
3.9286 5.335 24470 16.76994 1.368283
1656 4.7101 1360 1.064711
4.9797 22500 14.50006
2016 1.047319
1568 7.0153 6.31 12.744 90800 79.80001 1.948093
2.9388 3.8462 10776 7.17597 1.078001
1.9231 1827 7.2233 17.50698 0.6539385
6.875 8.8077 23900 1.927892
1923 3.9002 3390 5.3864 26060 18.5 1.361028
2524 3.6846
2110 4.9763 2777 1.8437 15620 5.

12000 1.604687
1.2019 1.3013 14.50004 0.1839036
7.2222 20880 19.8 3.113515
6.8677 7.3529 3060 18.29 1.926829
1404 3.5613 11.864 33.99994 1.

2701
1.9792 2.58 5.3327 15428 11.62794 0.6826927
2141 5.3713 23300 11.80005 1.68107
1.7442 7.2308 42100 39.09998 0.556296
3533 5.0948 36430 18.43007 1.62822
2218 7.

2137
3.825 6

2060 1.341558
8.8632 28300
3.0717 9.3333 24149 23.24899 1.122231
1872 1.7163 3.8263 28141 24.92809 0.5401708
4.0209 5.4448 23057 14.78199 1.391506
1832 5.4585 2054 8.7634 28900 18.9 1.697174
3.21
1632 2.3897 5.102 10.00001 0.8711678
3.2134 7.4101 31810 29.3 1.16733
3.377 2410 5.3527 19840 13.14003 1.216988
1278 19.562 25490 25.08999
3.1633 2875 5.0783 20800 14.59993 1.151616
2.7027 0.5128 1.200001 0.9942513
1.6927 5.402 32650 0.5263249
0.2137 7.8646 16370 16.11997 -1.543182
6.7669 6.0531 35500 26.50002 1.912043
1.7407 15100 12.75006 0.5542873
7.6829 14100
4.4859 6.0386 10.69998 1.500939
2.572 19434 14.43403 0.9446838
23882 23.709 1.241269
4.7826 8.1081 17300 15.1 1.564984
2.3118 3430 5.3061 19772 18.19998 0.8380265
2008 7.2709 35641 22.64106 1.668857
5.8675 8.1776 34220 21.6 1.769429
3380 7.1006 23.99998
6.5844
7.8529 21025 21.025
11.929 23600
22800 22.8
3193 10.022 35910 35.91
21.7
6.085 21823 21.8
3856 5.7054
9.1185 15300
1554 7.2072 12925 12.925
5.3146 15830 15.83
8.2828 30200 30.2
7.0578
1784 6.1659 11000
15000
7.6628 20528 20.528
4640 1.8491 13126
1

5550 15.55
1988 9.0543 18010 18.01
18874 18.874
24800 24.8
1867 9.3733 17500
4.4818 16150 16.15
5.3476 15189 15.189
1110 3.2027
12.801 37.25
6.9103 2776 27.76
2128 4.2293 9090
4.4479
8.0523 19700
7.5057 16788 16.788
7.4747 18520 18.52
2610 20950
2.1354 7574
4.2092 10027 10.027
0.7595
4.8077 7040
12.788 40800 40.8
2240 16050 16.05
15.15 33100 33.1
7.9082 33856 33.856
6.9728 20500
2467 4.9181 28600 28.6
8.3112 18750 18.75
20300 20.3
5.6889 13420 13.42
7.0833
2196 5.6922 16682 16.682
3268 32.685
3825 1.4152 7050
2.7507 10867 10.867
6.6182 18220 18.22
9.2725 26613 26.613
12.287 25000
2.8549 15.7
2677 7.9709 40250 40.25
19.444 73600 73.6
4334 10592 10.592
1.8918
6.9215 13400
1964 10.692 2370
9.9474
48300 48.3
3173 7.4882 24.47
2916 9.259 2

8630 28.63
11.322 25320 25.32
2094 6.447 13530 13.53
6.5778
17400
15980 15.98
4368 2.217 16576 16.576
3068 6.5189 21850 21.85
6.4923 14600
11.364 21600
9.8765
7.6576 20883 20.883
2108 8.3017
1998 14.114 42800 42.8
41500 41.5
11.291 18965 18.965
2990 2.3395 16100
1795 7.7994
18800
6.6893 14750 14.75
8.5366 21000
13.83 35400 35.4
3481 10700
8.5714 24.5
2062 8.2299 17045 17.045
8.3877
1575 7.3651
3.4415 18214 18.214
3280 3.3537 20177 20.177
5.181 14200
1846 10.293 21768 21.768
13.243 29553 29.553
10.407
2192 8.2117 18300
8.6735
8.3208 16476 16.476
44988 44.988
7.9787 18200
11.814
6.1111 11550 11.55
12.578 28450 28.45
11.244 15096 15.096
2840 2.7408 8009 8.009
10040 10.04
2746 5.8267 16700
2.

3478
4.4755
8.4986 17970 17.97
7.1825 18450 18.45
7.1222 24135 24.135
10.6592 31700 31.7
3.2762 10190
7.75 21574 21.574
11.945 26680 26.68
4.6154 17700
13.021 29400 29.4
22159 22.15
8.8333 35000
1690 2.3669
17080 17.08
7.4597 32500 32.5
7.7519
2553 5.4054 18850 18.85
6.1239
8.3369 19392 19.392
7.1277 14450 14.45
6.1204 21800
3.1111
12.161
5.3846 17258 17.258
3.9838 13.399
2142 7.4697 16073 16.073
11.411 23260 23.26
2783 12.936
6.8099 13075 13.075
8.5066
2496 5.508 25100
7.2285 18.6
9.45
8.9835 19237 19.237
5.9846 19855 19.855
2372 3.9629 9450
2295 7.0575
7.1565
3315 4.0145 24701 24.701
1777 3.8829 15900
16240 16.2
2184 5.0366 21100
7.0769
3.6184 6340
3119 13.466 42250 42.25
14.531 14694 14.694
21417 21.417
20200
2028 5.9172 12090 12.09
24760 24.76
2452 8.1566
6.6775 19365 19.365
16.907 68035 68.035
13.57 29300
2071
4.7372 22582 22.582
8.5106 2150
2190 5.2511 28070 28.07
21.786 50300 50.3
7.9125 23500
7.1083
5.0434 13440 13.44
2.2442
8.5069
7.5758
40.441 56100 56.1
6.2339 22846 22.846
9.2971 22225 22.225
0.7038 17635 17.635
3672 2.5425
5.0833 13390
1926 7.6843
6.5106 33920 33.92
2.951
5.6738 16736 16.736
30650 30.65
12400
2044 9.2955 19022 19.022
5.1324 11203 11.203
9.0659 19876 19.876
11.931 57000
6.7164 18290
4.5851 20220 20.22
9.2567 22150
8.5656 30623 30.623
1261 6.7407 9380 9.38
9.8788 22000
23675 23.675
6.277 33671 33.671
6.4241 12367 12.367
2598 8.3718 21950 21.95
2455 12.22 32000
3.5612 22610 22.61
8.867 12092 12.092
1.8515 3777 3.777
8.0769 36000
8.9796 26.9
2717 6.6618 32242 32.242
11.107 35020 35.02
14.077 37600 37.6
0.4121
23.81 96000
9.5745 18150
1.9286
3320 2.5783
7.2274 14756 14.756
24466 24.466
1634 14.688
10.487
4.0253
11.765 30.8
10660 10.66
6.9079 13350 13.35
5.151 10090 10.09
2703 20.496 55600 55.6
13.555
14.796
1.6905 7286 7.286
7.2296 37752 37.7
4.1152 13072 13.072
7044 7.044
8.0492
2544 8.577
9.3235 30300 30.3
4.7059
9.1346 3150 31.5
7.767 27092 27.092
4.1269 20968 20.968
4.0727 11225 11.225
37700
3275 7.8168
9.1667
29.644 63200 63.2
4.0761
8.362 17410 17.41
12.062
3660 2.3251 12916 12.916
10.01 21900
5.2734 17640 17.64
2204 6.3521 14060 14.06
3157 3.8071 15825 15.825
9.9099 16510 16.51
2.6701
7.971
15.429 29800 29.8
3366 1.9854
7.2562 2230 22.3
7.0352 14550 14.55
1930 8.1347 19730 19.73
11.981
3340 5.9922 21014 21.014
4.1458 10876 10.876
8.5102 27850 27.85
2.9631 9560
8.8149
2.4955 7720
4.8843 10550
24106 24.106
22995 22.995
5.3571
24350 24.35
3432 1.3741 7608 7.608
3.463
2817 5.0408
16.667 51200
4.3294 12646 12.646
10.193
7.5833
4.1204 14400
7232 7.232
3.1531 21943 21.943
47500 47.5
2131 6.0535
3.7875
2.9287 6531 6.531
9.2972 22422 22.422
9.3827 22200
26.531 77000
40.5 88000
15.16 26040 26.04
18.964 63500 63.5
2216 5.4152 12100
1.9988 17505 17.505
2116 11.153 28069 28.069
5.9524
2.1194 8117 8.117
3.8384 11.895
17.361 45250 45.25
8.0092 31106 31.106
3022 10.589
1512 10.913 21620 21.62
5.6033 23426 23.426
7.9365
2.9476 7840 7.84
3307 2.0562 6800
5330
9.2715
4.8638
2383 1.0898 9952 9.952
1705 12.44 24984 24.984
6.0897 28363 28.363

Res Wknd – Group Project – Working with Data using RStudio

Background: This course is all about data visualization. However, we must first have some understanding about the data that we are using to create the visualizations.  For this assignment, each group will be given its unique dataset to work with. That same dataset will be used for both part 1 and part 2 of this assignment.

Your Assignment: 

Part 1 – Data Analysis with RStudio

Provide screen shots that show analysis of your dataset. For each screen shot, please show comment lines that describes what the next line(s) of code is to achieve, the code in proper syntax for R, and the computed results that R produces.

Analyzing your data:

Watch the video included in this week’s Residency material to learn the simple commands to conduct basic data analysis with RStudio.

Use RStudio to generate results – create screen shots and then paste to a MS word document with the basic data analysis of your dataset. Remember to use a comment line (#) that explains each R instruction. Example: (#sets the working directory). Commands (setwd, dim, head, tail, structure, summary, cor, transform, subset).

· First, set your working directory (command – setwd OR use drop down from RStudio Session tab.

· Load your dataset into RStudio and  examine its structure – read.csv OR select your object file from RStudioFiles pane. Other commands to use: dim, head, tail, structure, and summary (provide comment lines; the R code; and results as screen shot #1)

· View your original dataset – examine each field/grouping in the data – decide whether each field is: “categorical” or “continuous” data (add this also to screen shot #1) 

· Create a correlation of stats for the dataset. R requires categorical fields to be 0/1 instead of no/yes; also, fields must be numeric instead of string – Hint: might be necessary to Transform some fields. If so, create a new version of your dataset with these transformations then do correlation on transformed data – commands: transform and cor (provide as screen shot #2) 

· What is the Min, Max, Median, and Mean of a continuous value field in your data?  (provide also as screen shot #2)

· What is the correlation values between all fields in your dataset? (provide as screen shot #3)

· Create a subset of the dataset with only at least two field in your dataset – commands: subset, cor (provide also as screen shot #3)

These three (3) screen shots containing the required data details should be placed in a MS Word document and labeled as Part 1 – Dataset Analysis.

Part 2 – Data Visualizing with RStudio

Background: As we have learned, a lot of thought goes into the design of a visualization. In this examination of your data and its visualization, we review how data types influence the choice of graphing.

Provide screen shots that shows graphs and charts of your dataset (Do NOT use ggplot2 or other R package features) For each screen shot, please show comment lines that describes what the next line(s) of code is to achieve, the code in proper syntax for R, and the computed results that R produces.

Visualizing your data:

Review Kirk chapter 4 and Res Wknd slide hand-outs to learn the data type requirements for each graph type. 

Also use this  R Tutorial page: 

https://www.tutorialspoint.com/r/index.htm

 for reference on RStudio commands for creating graphs and charts.

Use RStudio to create graphs and charts – create screen shots and then paste to your MS word document showing visuals of your dataset. Use commands (pie, barplot, hist, boxplot, plot).

Graphs to Produce:

Pie Chart:

· Create a pie chart that shows relationships of certain fields/grouping of your dataset – see professor for details. Use command: pie (x) – (provide as screen shot #4)

· Label the fields/columns as appropriate – see professor for details, Use command pie (x), labels. (provide also as screen shot #4)

· Title the pie chart as (a name you choose). Use command pie (x), labels, main. (provide as screen shot #5)

· Color the pie chart using the rainbow option. Use command pie (x), labels, main, col. (provide also as screen shot #5.

Bar Plot:

· Create a bar plot that shows relationships of certain fields/grouping of your dataset – Use same previous fields/columns First create a matrix (H); assign values for each field/column to (H). Use command barplot (H). (provide as screen shot #4)

· Label the x and y axis as (see professor). Use command barplot (H), xlab, ylab. (provide also as screen shot #4)

· Label the x and y axis with names (see professor). Use command barplot (H), xlab =, ylab =.  (provide also as screen shot #4).

· Title the bar plot as (a name you choose).  Use command barplot (H), xlab =, ylab =, main.  (provide as screen shot #5).

· Color the bars in the bar plot any color you wish.  Use command barplot (H), xlab =, ylab =, main, col.  (provide also as screen shot #5).

Histogram:

· Create a histogram that shows frequency of values of chosen fields/columns of your dataset – use same previous r fields/columns. First, create a vector (v) that has values for values of each field/column. then use function hist (v). (provide as screen shot #6)

· Label the x and y axis as (same as previous bar plot). Use function hist (v, xlab =, xlim =, ylab =, ylim =.  (provide also as screen shot #6)

· Title the histogram as (same as previous bar plot).  Assign your title to a variable; title <- histogram name, Use function hist (v, main = "title", xlab =, xlim =, ylab =, ylim =.  (provide as screen shot #7)

· Give the histogram any color you wish. Note: all bars should be the same color.  Use function hist (v, main = “title”, xlab =, col =, xlim =, ylab =, ylim =.  (provide also as screen shot #7)

Box Plot:

· Create a box plot that shows a measure of the distribution of values across chosen fields/columns of your dataset – use same previous fields/columns. First, create a vector (v) that has values for values of each field/column. then use function boxplot (v). (provide as screen shot #8)

· Label the x and y axis as (same as previous histogram). Use function boxplot (v, xlab =, ylab =,  (provide also as screen shot #8)

· Title the box plot as ( a name you choose).  Use function boxplot (v, main=, xlab =, ylab =,  (provide also as screen shot #8)

· Color the box plot any color you wish.  Use function boxplot (v, main=, xlab =, ylab =, col =.  (provide also as screen shot #8)

Scatter Plot:

· Create a scatter plot that shows many points of fields/columns of your dataset plotted in a Cartesian plain – use same previous fields/columns. First, create two variables for fields – for the horizontal coordinate (hw) and vertical (vw) for the vertical coordinate. then use function plot (vw,hw). (provide as screen shot #9).

· Create a scatter plot of just two of the fields/columns of  your dataset

· Choose one field/column of your dataset and plot that with a label the x coordinate

· Add a label to the y axis of this same field/column

· Add a Titleto  the scatter plot (as you choose)

· Color the scatter any color you wish (your choice).

These screen shots containing graphs and charts of your data should also be placed in the same MS Word document and labeled as Part 2 – Dataset Visualizing with RStudio. 

You should have one MS Word document that shows both part 1 and part 2 as this assignment. Your deliverable includes both parts of this assignment; it also includes your cover page in APA style showing: Title of this project; Group color and list of members, University’s name, Course name, Course number, Professor’s name, and Date. Although this is work done in your Group, each learner must post an individual copy to iLearn for grade.

When you are ready to post, click the Res Wknd Group Project assignment link, then Either click the “Write Submission” link and directly paste your complete document (containing part 1 and part 2) into this assignment box OR  Browse your Computer add the entire Microsoft Word document as an attachment (Mac users, please remember to append the ” x” extension to the filename).

MROZ Variable Description

MROZ.DES

inlf hours kidslt6 kidsge6 age educ wage repwage hushrs husage huseduc huswage faminc mtr motheduc fatheduc unem city exper nwifeinc lwage expersq

Variable description for mroz datafile

Obs: 753

1. inlf =1 if in labor force, 1975

2. hours hours worked, 1975

3. kidslt6 # kids < 6 years

4. kidsge6 # kids 6-18

5. age woman’s age in yrs

6. educ years of schooling

7. wage estimated wage from earns., hours

8. repwage reported wage at interview in 1976

9. hushrs hours worked by husband, 1975

10. husage husband’s age

11. huseduc husband’s years of schooling

12. huswage husband’s hourly wage, 1975

13. faminc family income, 1975

14. mtr fed. marginal tax rate facing woman

15. motheduc mother’s years of schooling

16. fatheduc father’s years of schooling

17. unem unem. rate in county of resid.

18. city =1 if live in SMSA

19. exper actual labor mkt exper

20. nwifeinc (faminc – wage*hours)/1000

21. lwage log(wage)

22. expersq exper^2

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