concatenating the rows to have a column wise data

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Kushal Bhalla
Kushal Bhalla 2021-5-23
编辑： Stephen23 2023-11-23
In the attached data set, the rows provide daily information at a fifteen minute interval for a set of 9 variables for 31 days of January. Is there an easy way to rearrage this data, so I have 9 variables as columns and their sequence of observations for the entire month as rows. Please help!

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DGM
DGM 2021-5-23
Ran in:
This could almost certainly be simplified, but I think this is at least readable:
% data arranged as groups of 4 row vectors
A = [1:10; 101:110; 201:210; 301:310; 11:20; 111:120; 211:220; 311:320]
A = 8×10
1 2 3 4 5 6 7 8 9 10 101 102 103 104 105 106 107 108 109 110 201 202 203 204 205 206 207 208 209 210 301 302 303 304 305 306 307 308 309 310 11 12 13 14 15 16 17 18 19 20 111 112 113 114 115 116 117 118 119 120 211 212 213 214 215 216 217 218 219 220 311 312 313 314 315 316 317 318 319 320
% rearrange
B = [reshape(A(1:4:end,:).',[],1) ...
reshape(A(2:4:end,:).',[],1) ...
reshape(A(3:4:end,:).',[],1) ...
reshape(A(4:4:end,:).',[],1)]
B = 20×4
1 101 201 301 2 102 202 302 3 103 203 303 4 104 204 304 5 105 205 305 6 106 206 306 7 107 207 307 8 108 208 308 9 109 209 309 10 110 210 310
The webpage truncates the final output here, but it does continue in a column vector format.
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DGM
DGM 2023-11-22
readmatrix() is picking up the time headers as data, so row 1 needs to be omitted.
A = A(2:end,3:end);
Stuff like readmatrix() and readtable() might be conveniences, but it pays to make sure it's picking up the file like you expect.
Kushal Bhalla
Kushal Bhalla 2023-11-22
Great Sir! this worked.
Sir, in another dataset (attached) the same information (biomass, coal, gas, gas cc, hydro, nuclear, other, solar, wind) is presented in a different manner (days for each fuel clubbed separately). However, I am interested in the same final output of 9 columns and 2976 rows. Could you please have a look? Shall be grateful for your help.

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Stephen23
Stephen23 2023-11-22
编辑：Stephen23 2023-11-23
Ran in:
The MATLAB approach:
T = readtable('data.csv', 'VariableNamingRule','Preserve')
T = 279×97 table
Date-Fuel 0:15 0:30 0:45 1:00 1:15 1:30 1:45 2:00 2:15 2:30 2:45 3:00 3:15 3:30 3:45 4:00 4:15 4:30 4:45 5:00 5:15 5:30 5:45 6:00 6:15 6:30 6:45 7:00 7:15 7:30 7:45 8:00 8:15 8:30 8:45 9:00 9:15 9:30 9:45 10:00 10:15 10:30 10:45 11:00 11:15 11:30 11:45 12:00 12:15 12:30 12:45 13:00 13:15 13:30 13:45 14:00 14:15 14:30 14:45 15:00 15:15 15:30 15:45 16:00 16:15 16:30 16:45 17:00 17:15 17:30 17:45 18:00 18:15 18:30 18:45 19:00 19:15 19:30 19:45 20:00 20:15 20:30 20:45 21:00 21:15 21:30 21:45 22:00 22:15 22:30 22:45 23:00 23:15 23:30 23:45 0:00 ____________________ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ ______ {'01/01/12-Biomass'} 8.3 7.61 7.32 7.32 7.32 7.43 7.83 7.98 8.19 7.97 7.31 7.63 7.94 8.04 8.23 8.13 8.14 8.14 8.08 7.78 7.79 7.8 7.78 7.8 7.86 7.86 7.88 7.88 7.87 7.87 7.84 7.87 7.86 7.72 6.92 6.96 6.96 6.95 6.95 6.96 6.92 6.69 6.55 6.92 7.76 7.91 7.9 7.92 7.9 7.95 8.02 8.21 8.35 8.36 8.35 8.37 8.35 8.36 8.27 8.34 8.34 8.35 7.76 7.7 7.74 7.77 8.03 8.14 8.07 8.08 8.08 7.9 7.77 7.79 7.81 7.82 7.9 8.07 8.23 8.3 8.39 8.39 8.39 8.39 8.38 8.39 8.35 8.31 8.29 8.18 8.16 8.15 8.16 8.15 8.15 8.16 {'01/01/12-Coal' } 2516.7 2484.7 2482.2 2469.9 2448.7 2441.7 2399.4 2362 2348.3 2281.9 2267.7 2260.9 2303.9 2364.2 2391.6 2418.5 2440.7 2454.6 2483.8 2493.2 2551.9 2590.1 2607.8 2612.4 2628.5 2658.9 2699.8 2768.6 2838.6 2865.1 2882.2 2868.2 2877.2 2905.7 2939.3 2984.7 3025.6 3093.7 3158.1 3189.4 3201.1 3181.6 3159.8 3171.9 3216.9 3285.5 3316.5 3314.4 3335.3 3355 3360.7 3367.1 3351.9 3335.1 3320 3286.9 3249 3217.2 3164.1 3101.4 3062.4 3065.1 3058.8 3040.2 3014.3 2999.9 2993.9 3007.4 3027.6 3075.6 3149.7 3294.8 3431.3 3550 3624.3 3661.5 3665.4 3671.4 3672.8 3683.8 3673.3 3656.4 3631.7 3600.6 3600.6 3599.9 3585.5 3563.5 3523 3472.7 3417.7 3371.5 3343.4 3306.1 3221.7 3155.8 {'01/01/12-Gas' } 113.68 112.89 115.51 114.61 114.45 114.15 112.18 112.38 111.97 112.09 111.97 112.01 113.25 115.19 114.8 113.99 114.09 114.49 114.63 114.73 114.86 114.69 114.95 115.5 124.97 129 130.38 130.69 131.64 132.81 137.65 160.1 162.15 163.01 162.42 162.04 161.6 161.04 160.67 158.79 157.86 157.65 157.8 157.83 158.05 157.99 157.55 157.49 156.33 151.3 141.53 132.57 129.07 128.82 131.3 148.69 149.75 130.9 130.71 131.19 130.65 130.58 131.18 132.23 132.27 132.32 132.75 131.9 132.75 133.04 133.19 137.81 137.81 137.72 138.06 139.51 139.78 140.74 140.51 140.09 138.53 135.05 135.01 134.71 134.74 135.24 135.03 135.18 129.49 124.3 125.63 125.51 125.63 125.77 126.2 126.42 {'01/01/12-Gas_CC' } 1488.8 1489.7 1511.4 1486.9 1478.4 1468 1447.4 1475.1 1468.6 1467.2 1464.5 1489.3 1528.5 1507.1 1498.4 1486.8 1467.1 1494.8 1461.7 1479.7 1529.7 1522 1524.3 1524.6 1544.5 1581.1 1653.4 1724.7 1776.8 1794.6 1825.1 1830.7 1875.5 1924.3 1996.8 2089.6 2194.3 2236.3 2243.1 2235.5 2236.4 2232.1 2251.2 2272.3 2297.8 2305.8 2316.3 2337.8 2343.7 2332.9 2335.6 2326.9 2308.9 2304.9 2305.4 2292.9 2300.4 2296 2298.6 2323.6 2332.3 2342.2 2343.3 2352.4 2383 2413.1 2440.1 2482.3 2572.6 2668.6 2828.8 2980 3052.5 3040.1 3017.8 3008.2 3029.7 3026.1 3012.2 2963.9 2947.9 2940 2926.2 2922.9 2923.5 2897.3 2878.5 2853.8 2821.1 2808.2 2794.9 2773 2705.9 2633.7 2614.4 2592 {'01/01/12-Hydro' } 7.67 7.37 7.38 7.37 7.35 7.34 7.34 7.35 7.34 7.34 7.35 7.34 7.33 7.33 7.32 7.32 7.33 7.32 7.32 7.32 7.53 7.68 7.9 7.93 10.26 10.42 10.39 10.12 8.41 8.38 8.38 8.41 8.42 8.46 8.44 8.46 8.45 8.45 8.44 8.45 8.45 8.47 8.47 8.49 7.97 7.64 7.65 7.63 7.42 7.4 7.41 7.41 7.41 7.43 7.42 7.44 7.42 7.43 7.42 7.41 7.42 7.41 7.41 7.42 7.41 7.41 7.41 7.47 12.73 13.04 13.08 13.26 21.69 27.86 29.84 29.95 16.21 16.23 16.22 16.23 16.23 16.24 16.23 16.23 16.21 16.23 16.21 16.22 16.24 16.22 16.22 16.22 16.13 16.25 16.26 16.25 {'01/01/12-Nuclear'} 948.15 948.48 948.29 948.51 948.55 948.45 948.3 948.41 948.19 948.16 948.24 948.25 948.18 948.15 948.23 947.98 948.19 948.25 948.35 948.32 948.27 948.28 948.26 948.29 948.35 948.32 948.28 948.29 948.32 948.31 948.44 948.53 948.56 948.64 948.64 948.78 948.64 948.73 948.84 948.87 948.69 948.84 948.77 948.88 948.85 948.96 949.03 949.02 949.12 949.04 949.05 949.01 949.13 949.23 949.16 949.27 949.2 949.25 949.22 949.23 949.19 949.23 949.4 949.35 949.25 949.25 949.35 949.18 949.25 949.17 949.35 949.3 949.23 948.92 948.89 948.88 948.93 948.89 948.88 948.88 948.94 949.07 948.96 948.83 948.73 948.75 948.82 948.87 948.85 948.75 948.83 948.76 948.73 948.79 948.92 948.9 {'01/01/12-Other' } 4.46 4.46 4.46 4.45 4.46 4.45 4.46 4.46 4.44 4.26 2.5 2.39 2.39 2.39 2.39 2.39 2.4 2.4 2.4 2.4 2.4 2.41 2.52 2.61 2.61 2.6 2.44 2.24 2.24 2.25 2.27 2.5 2.45 2.59 3.59 4.1 4.14 4.11 4.17 4.19 4.18 4.18 4.18 4.18 4.18 4.18 4.21 4.22 4.1 4.05 4.05 4.05 4.05 4.05 4.03 4.04 3.98 3.99 3.91 3.84 4 4.06 4.07 4.07 4.07 4.07 4.07 4.01 3.7 3.71 3.72 3.71 3.81 3.9 3.9 3.9 4.09 4.28 4.14 4.12 4.12 4.12 4.12 4.12 4.12 4.12 4.11 4.11 4.11 4.11 4.12 4.12 4.12 4.12 4.13 4.15 {'01/01/12-Sun' } 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.08 0.28 0.54 0.9 1.13 1.44 1.72 1.98 2.24 2.44 2.65 2.84 2.99 3.13 3.39 3.87 3.94 3.96 4.23 4.33 4.31 4.31 4.09 3.9 3.99 3.92 3.83 3.77 3.7 3.67 3.55 3.41 3.06 2.82 2.55 2.15 1.71 1.25 0.81 0.39 0.04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 {'01/01/12-Wind' } 1542.6 1555.1 1512.9 1528.2 1505.3 1481.4 1504.7 1476.8 1454.5 1477.2 1438.1 1403.5 1364.7 1313.8 1284.8 1261 1237.5 1193 1167.7 1153.7 1128.5 1114.3 1118.5 1145.5 1171.2 1157 1113.9 1031.9 983.18 922.89 871.57 905.97 940.42 923.47 871.42 774.84 688.59 629.18 585.37 576.44 596.76 622.94 616.71 570.39 501.69 433.77 387.3 354.04 317.79 296.46 279.98 265.16 270.85 267.46 259.86 255.24 249.19 271.23 290.11 299.32 314.01 309.58 306.85 309.33 306.45 305.53 315.72 311.5 297.9 294.22 281.74 281.37 281.92 289.4 294.04 289.97 291.56 303.22 325.99 354.73 371.49 398.13 425.37 446.04 451.23 442.77 427.97 420.32 427.56 436.19 447.92 450.96 455.02 475.62 497.16 506.87 {'01/02/12-Biomass'} 8.16 8.17 8.17 8.16 8.17 8.16 8.17 8.17 8.18 8.17 8.17 8.18 8.19 8.19 8.19 8.18 8.2 8.2 8.19 8.22 8.17 8.19 8.16 8.12 8.02 8.01 8.01 8.03 8.01 8.04 8.02 7.9 7.85 7.84 7.84 7.83 7.83 7.84 7.82 7.8 7.79 7.8 7.78 7.8 7.79 7.8 7.37 6.94 6.93 6.99 7.43 7.76 7.8 7.79 7.8 7.79 7.79 7.78 6.82 7.14 7.75 8.03 7.95 7.81 7.87 7.77 7.78 7.73 7.73 7.88 8.06 8.05 8.06 8.06 8.07 8.01 7.45 7.08 7.08 7.33 7.61 7.78 7.77 8 8.14 8.14 8.13 8.13 8.14 8.14 8.13 8.15 8.12 8.09 8.07 8.07 {'01/02/12-Coal' } 3091.6 3055.1 3028.4 3004.9 3001.6 3008.4 2996.2 2990.7 2992 3007.5 3010.9 3013.1 3029 3053 3084 3126.8 3161.9 3178 3188.4 3206.6 3236.4 3259.6 3288.2 3354.2 3350.2 3380.6 3427.1 3508.2 3594.9 3623.7 3636.3 3639.4 3624 3619.7 3634.3 3654.7 3700.3 3721.9 3710.9 3700.4 3715.1 3719 3726.2 3710.8 3697 3700.1 3654.1 3610.2 3585.3 3580.7 3531 3498.2 3438.4 3389.9 3348.9 3301.6 3250.9 3211.8 3175 3137.1 3061.4 3030.2 3011.1 3008.7 3001.4 3042.8 3063.2 3061 3117.2 3228.4 3388.7 3569.3 3683.7 3742.3 3756.7 3758.4 3766.6 3771.4 3770.8 3772.7 3776.3 3787.1 3783.8 3777.3 3755.6 3730 3696.1 3675.1 3657.9 3607.2 3548.8 3577.1 3540.4 3484.6 3356.7 3251.6 {'01/02/12-Gas' } 127.54 127.59 127.05 127.32 127.66 128.16 128.12 128.12 128.08 128.15 128.63 128.93 128.25 128.04 127.58 127.86 128.38 128.35 127.91 128.22 128.56 127.95 127.36 127.85 140.34 141.18 140.24 140.51 141.41 150.95 149.77 149.23 149.62 146.11 143.88 143.82 141.49 140.14 139.27 139.62 139.5 138.54 139.03 138.72 138.11 137.75 137.39 137.54 136.9 136.92 137.64 136.79 137.23 137.65 137.24 137.29 137.05 136.7 137.43 137.34 137.59 136.9 136.39 137.77 139.16 137.45 139.96 141.62 143.41 143.64 144.84 159.94 176.45 181.64 191.44 197.93 197.73 194 193.18 193.22 197.99 199.26 197.04 194.71 189.21 170.29 153.59 147.64 141.36 133.68 132.93 127.27 125.76 125.84 126.91 127.15 {'01/02/12-Gas_CC' } 2602.7 2610 2603.2 2598.2 2592.7 2573.3 2575.6 2572.7 2587.6 2586.1 2584.8 2600.6 2626.3 2634.9 2650.7 2646.1 2681.3 2706.6 2760.9 2818.1 2949.2 3034.8 3117 3165.2 3382.3 3496.3 3579.5 3642.9 3694.8 3679.9 3663 3660.9 3687.1 3712.6 3741.1 3760.5 3781.6 3792.7 3791.2 3788.9 3795.5 3749.3 3711.9 3660.9 3649.1 3614.8 3622.3 3614.6 3658.1 3623.5 3611.2 3575.1 3543.9 3541.8 3533.4 3506.4 3485.4 3493.2 3461.2 3467.8 3408 3420.8 3418.8 3425 3419.9 3498.6 3466 3521.6 3543.7 3601.7 3725.9 3898.5 3936.5 4037.6 4053.8 4111.1 4101.9 4129.9 4143.6 4151.7 4171 4165.5 4161.2 4133.4 4083.2 4057 4026.1 3912.8 3768 3651.1 3593.1 3437.3 3457 3408.3 3352.2 3351.6 {'01/02/12-Hydro' } 15.44 15.15 15.15 15.15 15.11 15.02 14.51 7.35 7.35 7.35 7.36 7.35 7.34 7.34 7.3 7.32 7.33 7.33 7.32 7.31 7.43 7.43 7.43 7.45 9.48 10.49 10.49 10.52 8.81 8.4 8.41 8.4 8.45 8.47 8.47 8.45 8.44 8.44 8.45 8.48 8.47 8.45 8.47 8.48 8.49 8.47 7.84 7.62 7.4 7.34 7.38 7.36 7.32 7.33 7.31 7.8 14.76 14.79 14.8 14.79 14.83 14.79 14.81 14.79 14.83 7.52 14.17 15.05 20.02 20.86 20.88 20.89 21.02 21.02 21.16 21.05 21.12 21.16 21.27 21.15 16.26 16.29 16.2 16.15 16.24 16.24 15.99 8.51 8.46 8.46 8.45 8.48 8.45 8.44 8.47 8.47 {'01/02/12-Nuclear'} 948.9 948.88 948.92 949.03 948.95 948.93 949 948.91 948.97 948.99 949.04 949.24 949.21 949.15 949.04 949.17 949.22 949.19 949.18 949.37 949.47 949.07 949.08 948.99 949.33 949.02 949.1 948.98 949.16 949.03 949.05 949.06 949.03 948.85 948.97 949.08 949.12 949.25 949.17 949.29 949.22 949.09 949.32 949.3 949.26 949.2 949.3 949.3 949.31 949.22 949.53 949.36 949.54 949.61 949.4 949.63 949.39 949.44 949.48 949.59 949.72 949.43 949.75 949.53 949.68 949.6 949.78 949.79 949.73 949.91 949.79 949.6 949.56 949.58 949.62 949.61 949.69 949.64 949.55 949.48 949.49 949.49 949.35 949.29 949.59 949.44 949.27 949.33 949.38 949.29 948.93 949.5 949.16 949.01 949.16 949.11 {'01/02/12-Other' } 3.94 3.81 3.82 3.82 3.82 3.82 3.82 3.82 3.82 3.82 3.83 3.83 3.82 3.82 3.82 3.81 3.82 3.81 3.82 3.81 3.56 3.48 3.46 3.45 3.44 3.43 3.45 3.45 3.45 3.46 3.46 3.46 3.57 3.64 3.64 3.65 3.61 3.13 3.17 3.26 3.64 3.66 3.67 3.74 3.73 3.98 3.99 3.99 3.99 3.99 3.99 4 4.1 4.17 4.17 4.17 4.04 3.99 3.99 3.99 3.99 3.99 4 3.99 3.99 3.99 3.99 3.99 3.98 3.99 3.98 3.97 3.98 3.98 3.99 3.98 3.98 3.98 3.98 3.97 4.09 4.14 3.92 3.81 3.81 3.82 3.81 3.83 3.98 3.98 3.98 3.98 3.97 3.97 3.97 3.96
P = digitsPattern+":"+digitsPattern;
U = stack(T, P, 'NewDataVariableName','Data', 'IndexVariableName','QuarterHours')
U = 26784×3 table
Date-Fuel QuarterHours Data ____________________ ____________ ____ {'01/01/12-Biomass'} 0:15 8.3 {'01/01/12-Biomass'} 0:30 7.61 {'01/01/12-Biomass'} 0:45 7.32 {'01/01/12-Biomass'} 1:00 7.32 {'01/01/12-Biomass'} 1:15 7.32 {'01/01/12-Biomass'} 1:30 7.43 {'01/01/12-Biomass'} 1:45 7.83 {'01/01/12-Biomass'} 2:00 7.98 {'01/01/12-Biomass'} 2:15 8.19 {'01/01/12-Biomass'} 2:30 7.97 {'01/01/12-Biomass'} 2:45 7.31 {'01/01/12-Biomass'} 3:00 7.63 {'01/01/12-Biomass'} 3:15 7.94 {'01/01/12-Biomass'} 3:30 8.04 {'01/01/12-Biomass'} 3:45 8.23 {'01/01/12-Biomass'} 4:00 8.13
C = split(U.('Date-Fuel'),'-');
D = strcat(C(:,1),'_',cellstr(U.QuarterHours));
U.Fuel = C(:,2);
U.Date = datetime(D,'InputFormat','d/M/yy_HH:mm', 'Format','yyyy-MM-dd HH:mm')
U = 26784×5 table
Date-Fuel QuarterHours Data Fuel Date ____________________ ____________ ____ ___________ ________________ {'01/01/12-Biomass'} 0:15 8.3 {'Biomass'} 2012-01-01 00:15 {'01/01/12-Biomass'} 0:30 7.61 {'Biomass'} 2012-01-01 00:30 {'01/01/12-Biomass'} 0:45 7.32 {'Biomass'} 2012-01-01 00:45 {'01/01/12-Biomass'} 1:00 7.32 {'Biomass'} 2012-01-01 01:00 {'01/01/12-Biomass'} 1:15 7.32 {'Biomass'} 2012-01-01 01:15 {'01/01/12-Biomass'} 1:30 7.43 {'Biomass'} 2012-01-01 01:30 {'01/01/12-Biomass'} 1:45 7.83 {'Biomass'} 2012-01-01 01:45 {'01/01/12-Biomass'} 2:00 7.98 {'Biomass'} 2012-01-01 02:00 {'01/01/12-Biomass'} 2:15 8.19 {'Biomass'} 2012-01-01 02:15 {'01/01/12-Biomass'} 2:30 7.97 {'Biomass'} 2012-01-01 02:30 {'01/01/12-Biomass'} 2:45 7.31 {'Biomass'} 2012-01-01 02:45 {'01/01/12-Biomass'} 3:00 7.63 {'Biomass'} 2012-01-01 03:00 {'01/01/12-Biomass'} 3:15 7.94 {'Biomass'} 2012-01-01 03:15 {'01/01/12-Biomass'} 3:30 8.04 {'Biomass'} 2012-01-01 03:30 {'01/01/12-Biomass'} 3:45 8.23 {'Biomass'} 2012-01-01 03:45 {'01/01/12-Biomass'} 4:00 8.13 {'Biomass'} 2012-01-01 04:00
V = unstack(U,'Data','Fuel', 'GroupingVariables','Date')
V = 1152×10 table
Date Biomass Coal Gas Gas_CC Hydro Nuclear Other Sun Wind ________________ _______ ______ ______ ______ _____ _______ _____ ___ ______ 2012-01-01 00:15 8.3 2516.7 113.68 1488.8 7.67 948.15 4.46 0 1542.6 2012-01-01 00:30 7.61 2484.7 112.89 1489.7 7.37 948.48 4.46 0 1555.1 2012-01-01 00:45 7.32 2482.2 115.51 1511.4 7.38 948.29 4.46 0 1512.9 2012-01-01 01:00 7.32 2469.9 114.61 1486.9 7.37 948.51 4.45 0 1528.2 2012-01-01 01:15 7.32 2448.7 114.45 1478.4 7.35 948.55 4.46 0 1505.3 2012-01-01 01:30 7.43 2441.7 114.15 1468 7.34 948.45 4.45 0 1481.4 2012-01-01 01:45 7.83 2399.4 112.18 1447.4 7.34 948.3 4.46 0 1504.7 2012-01-01 02:00 7.98 2362 112.38 1475.1 7.35 948.41 4.46 0 1476.8 2012-01-01 02:15 8.19 2348.3 111.97 1468.6 7.34 948.19 4.44 0 1454.5 2012-01-01 02:30 7.97 2281.9 112.09 1467.2 7.34 948.16 4.26 0 1477.2 2012-01-01 02:45 7.31 2267.7 111.97 1464.5 7.35 948.24 2.5 0 1438.1 2012-01-01 03:00 7.63 2260.9 112.01 1489.3 7.34 948.25 2.39 0 1403.5 2012-01-01 03:15 7.94 2303.9 113.25 1528.5 7.33 948.18 2.39 0 1364.7 2012-01-01 03:30 8.04 2364.2 115.19 1507.1 7.33 948.15 2.39 0 1313.8 2012-01-01 03:45 8.23 2391.6 114.8 1498.4 7.32 948.23 2.39 0 1284.8 2012-01-01 04:00 8.13 2418.5 113.99 1486.8 7.32 947.98 2.39 0 1261
Having your data arranged this way will make it much easier to work with. For example:
format compact
summary(V)
Variables: Date: 1152×1 datetime Values: Min 2012-01-01 00:00 Median 2012-06-16 11:52 Max 2012-12-01 23:45 Biomass: 1152×1 double Values: Min 4.82 Median 8.035 Max 12.77 Coal: 1152×1 double Values: Min 2096.2 Median 2960.2 Max 3824.8 Gas: 1152×1 double Values: Min 111.27 Median 149.76 Max 602.92 Gas_CC: 1152×1 double Values: Min 1447.4 Median 3269.1 Max 5354.2 Hydro: 1152×1 double Values: Min 6.89 Median 8.11 Max 30.04 Nuclear: 1152×1 double Values: Min 906.21 Median 948.55 Max 951.15 Other: 1152×1 double Values: Min 1.29 Median 4.11 Max 5.29 Sun: 1152×1 double Values: Min 0 Median 0 Max 8.44 Wind: 1152×1 double Values: Min 8.82 Median 900.15 Max 1746.1

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