A
Art MacNeil
Hello all,
I get a text file and I need to extract a specific piece of data from it.
I've tried using Substitute and right and left but they don't work the way
I'd expect.
I'm not proficient with substitute so maybe I'm missing something obvious.
In any case, here's the text file:
Employee D W CL RT Points [Change]
===============================================================
1 Employee # 01 98 31 43 33 6218.50 [-142.57]
2 Employee # 02 81 15 16 8 5231.37 [+142.32] **
3 Employee # 03 98 12 10 20 4376.50 [+144.83] **
4 Employee # 04 98 10 8 12 2863.88 [-43.97] **
5 Employee # 05 84 13 7 12 2523.29 [-61.61]
6 Employee # 06 98 2 3 1 2250.26 [+4.09] **
7 [8] Employee # 07 72 4 2 2 2181.19 [+98.41] **
8 [7] Employee # 08 95 3 1 0 2144.35 [-13.40] **
9 Employee # 09 91 5 5 5 1839.72 [-22.18] **
10 Employee # 10 98 2 1 0 1667.69 [+3.61] **
11 Employee # 11 99 0 2 2 1442.68 [-22.53] **
12 Employee # 12 94 1 0 0 1319.18 [+28.06] **
13 Employee # 13 88 0 0 0 1128.33 [+4.80] **
14 Employee # 14 68 0 0 0 878.10 [+9.50] **
15 Employee # 15 74 0 0 0 765.12 [-16.95]
16 Employee # 16 46 0 0 0 656.71 [-9.47]
17 Employee # 17 36 0 0 0 616.35 [-7.90]
18 Employee # 18 38 0 0 0 548.80 [-2.08] **
19 Employee # 19 24 0 0 0 418.94 [+19.77] **
20 Employee # 20 36 0 0 1 363.01 [-8.34]
21 [22] Employee # 21 20 0 0 0 360.39 [+20.61] **
22 [21] Employee # 22 59 0 0 0 352.42 [-10.97]
23 Employee # 23 20 0 0 1 319.15 [+11.71] **
24 Employee # 24 19 0 0 0 275.27 [-3.86]
25 Employee # 25 27 0 0 0 242.49 [-5.99]
26 Employee # 26 20 0 0 0 193.48 [-3.83]
27 Employee # 27 11 0 0 0 191.05 [-2.30]
28 [29] Employee # 28 7 0 0 0 190.10 [+22.60] **
29 [28] Employee # 29 20 0 0 0 187.65 [-3.62]
30 [42] Employee # 30 2 0 0 1 170.57 [+112.02] **
31 [30] Employee # 31 34 0 0 0 159.26 [-7.13]
32 [31] Employee # 32 18 0 0 0 149.12 [-2.83]
33 [32] Employee # 33 11 0 0 0 117.56 [-1.74]
34 [33] Employee # 34 26 0 0 0 109.85 [-4.97]
35 [34] Employee # 35 14 0 0 0 105.06 [-2.09]
36 Employee # 36 7 0 0 0 89.43 [-0.93]
37 [35] Employee # 37 16 0 0 0 88.62 [-2.45]
38 [37] Employee # 38 14 0 0 0 82.81 [-2.37]
39 Employee # 39 7 0 0 0 79.14 [-0.90]
40 [38] Employee # 40 26 0 0 0 77.55 [-5.59]
41 [44] Employee # 41 3 0 0 0 75.12 [+23.91] **
42 [40] Employee # 42 17 0 0 0 69.32 [-3.70]
43 [41] Employee # 43 4 0 0 0 59.06 [-1.03]
44 [43] Employee # 44 7 0 0 0 54.41 [-1.30]
45 [52] Employee # 45 5 0 0 0 49.45 [+23.90] **
46 [53] Employee # 46 2 0 0 0 47.90 [+29.80] **
47 [47] Employee # 47 4 0 0 0 46.90 [-0.57]
48 [46] Employee # 48 5 0 0 0 46.41 [-1.13]
49 [45] Employee # 49 16 0 0 0 45.60 [-2.45]
50 [48] Employee # 50 3 0 0 0 43.61 [-0.92]
51 [50] Employee # 51 14 0 0 0 37.48 [-2.35]
52 [49] Employee # 52 9 0 2 2 36.54 [-6.49]
53 [51] Employee # 53 20 0 0 0 30.32 [-2.99]
54 Employee # 54 2 0 0 0 20.42 [+2.50] **
55 Employee # 55 10 0 0 0 13.80 [-3.07]
56 Employee # 56 3 0 0 0 5.37 [-0.61]
57 Employee # 57 6 0 0 0 3.78 [-1.06]
58 Employee # 58 6 0 0 0 2.35 [-0.98]
The data I want is the points.
So for:
Employee #01: 6218.50
Employee #02: 5231.37
Etc.
Is there a good formula to extract this information?
Thank you for your help,
Art.
XP, Office 2003.
I get a text file and I need to extract a specific piece of data from it.
I've tried using Substitute and right and left but they don't work the way
I'd expect.
I'm not proficient with substitute so maybe I'm missing something obvious.
In any case, here's the text file:
Employee D W CL RT Points [Change]
===============================================================
1 Employee # 01 98 31 43 33 6218.50 [-142.57]
2 Employee # 02 81 15 16 8 5231.37 [+142.32] **
3 Employee # 03 98 12 10 20 4376.50 [+144.83] **
4 Employee # 04 98 10 8 12 2863.88 [-43.97] **
5 Employee # 05 84 13 7 12 2523.29 [-61.61]
6 Employee # 06 98 2 3 1 2250.26 [+4.09] **
7 [8] Employee # 07 72 4 2 2 2181.19 [+98.41] **
8 [7] Employee # 08 95 3 1 0 2144.35 [-13.40] **
9 Employee # 09 91 5 5 5 1839.72 [-22.18] **
10 Employee # 10 98 2 1 0 1667.69 [+3.61] **
11 Employee # 11 99 0 2 2 1442.68 [-22.53] **
12 Employee # 12 94 1 0 0 1319.18 [+28.06] **
13 Employee # 13 88 0 0 0 1128.33 [+4.80] **
14 Employee # 14 68 0 0 0 878.10 [+9.50] **
15 Employee # 15 74 0 0 0 765.12 [-16.95]
16 Employee # 16 46 0 0 0 656.71 [-9.47]
17 Employee # 17 36 0 0 0 616.35 [-7.90]
18 Employee # 18 38 0 0 0 548.80 [-2.08] **
19 Employee # 19 24 0 0 0 418.94 [+19.77] **
20 Employee # 20 36 0 0 1 363.01 [-8.34]
21 [22] Employee # 21 20 0 0 0 360.39 [+20.61] **
22 [21] Employee # 22 59 0 0 0 352.42 [-10.97]
23 Employee # 23 20 0 0 1 319.15 [+11.71] **
24 Employee # 24 19 0 0 0 275.27 [-3.86]
25 Employee # 25 27 0 0 0 242.49 [-5.99]
26 Employee # 26 20 0 0 0 193.48 [-3.83]
27 Employee # 27 11 0 0 0 191.05 [-2.30]
28 [29] Employee # 28 7 0 0 0 190.10 [+22.60] **
29 [28] Employee # 29 20 0 0 0 187.65 [-3.62]
30 [42] Employee # 30 2 0 0 1 170.57 [+112.02] **
31 [30] Employee # 31 34 0 0 0 159.26 [-7.13]
32 [31] Employee # 32 18 0 0 0 149.12 [-2.83]
33 [32] Employee # 33 11 0 0 0 117.56 [-1.74]
34 [33] Employee # 34 26 0 0 0 109.85 [-4.97]
35 [34] Employee # 35 14 0 0 0 105.06 [-2.09]
36 Employee # 36 7 0 0 0 89.43 [-0.93]
37 [35] Employee # 37 16 0 0 0 88.62 [-2.45]
38 [37] Employee # 38 14 0 0 0 82.81 [-2.37]
39 Employee # 39 7 0 0 0 79.14 [-0.90]
40 [38] Employee # 40 26 0 0 0 77.55 [-5.59]
41 [44] Employee # 41 3 0 0 0 75.12 [+23.91] **
42 [40] Employee # 42 17 0 0 0 69.32 [-3.70]
43 [41] Employee # 43 4 0 0 0 59.06 [-1.03]
44 [43] Employee # 44 7 0 0 0 54.41 [-1.30]
45 [52] Employee # 45 5 0 0 0 49.45 [+23.90] **
46 [53] Employee # 46 2 0 0 0 47.90 [+29.80] **
47 [47] Employee # 47 4 0 0 0 46.90 [-0.57]
48 [46] Employee # 48 5 0 0 0 46.41 [-1.13]
49 [45] Employee # 49 16 0 0 0 45.60 [-2.45]
50 [48] Employee # 50 3 0 0 0 43.61 [-0.92]
51 [50] Employee # 51 14 0 0 0 37.48 [-2.35]
52 [49] Employee # 52 9 0 2 2 36.54 [-6.49]
53 [51] Employee # 53 20 0 0 0 30.32 [-2.99]
54 Employee # 54 2 0 0 0 20.42 [+2.50] **
55 Employee # 55 10 0 0 0 13.80 [-3.07]
56 Employee # 56 3 0 0 0 5.37 [-0.61]
57 Employee # 57 6 0 0 0 3.78 [-1.06]
58 Employee # 58 6 0 0 0 2.35 [-0.98]
The data I want is the points.
So for:
Employee #01: 6218.50
Employee #02: 5231.37
Etc.
Is there a good formula to extract this information?
Thank you for your help,
Art.
XP, Office 2003.