>> t=readtable('DataDK.xlsx');
Warning: Variable names were modified to make them valid MATLAB identifiers. The original names are saved in the VariableDescriptions property.
>> whos t
Name Size Bytes Class Attributes
t 349x37 120624 table
>> t(1:10,:)
ans =
10×37 table
Date DK_NON_UP_T__DK DK_NON_RI_T__DK DK_NON_MV_T__DK DK_NON_WC05491__DK DK_NON_NOSH_ DK_NON_MTBV_T_ DK_NON_WC03501__DK DK_NON_WC02999__DK DK_NON_WC18191__DK DK_DEN_UP_T__DK DK_DEN_RI_T__DK DK_DEN_MV_T__DK DK_DEN_WC05491__DK DK_DEN_NOSH_ DK_DEN_MTBV_T_ DK_DEN_WC03501__DK DK_DEN_WC02999__DK DK_DEN_WC18191__DK DK_DSV_UP_T__DK DK_DSV_RI_T__DK DK_DSV_MV_T__DK DK_DSV_WC05491__DK DK_DSV_NOSH_ DK_DSV_MTBV_T_ DK_DSV_WC03501__DK DK_DSV_WC02999__DK DK_DSV_WC18191__DK DK_COL_UP_T__DK DK_COL_RI_T__DK DK_COL_MV_T__DK DK_COL_WC05491__DK DK_COL_NOSH_ DK_COL_MTBV_T_ DK_COL_WC03501__DK DK_COL_WC02999__DK DK_COL_WC18191__DK
__________ _______________ _______________ _______________ __________________ ____________ ______________ __________________ __________________ __________________ _______________ _______________ _______________ __________________ ____________ ______________ __________________ __________________ __________________ _______________ _______________ _______________ __________________ ____________ ______________ __________________ __________________ __________________ _______________ _______________ _______________ __________________ ____________ ______________ __________________ __________________ __________________
12/31/1989 331.9 3173 8967.9 1.909 27020 1.69 6.208e+06 1.1609e+07 1.3141e+06 NaN NaN NaN NaN NaN NaN NaN NaN NaN 725 142.16 84.82 0.962 117 NaN 1.4498e+05 3.744e+05 32945 1736.6 262.86 963.81 2.198 555 2.56 4.1545e+05 7.1203e+05 1.1315e+05
1/31/1990 323.2 3089.8 8732.9 2.146 27020 1.46 6.9904e+06 1.2466e+07 1.4448e+06 NaN NaN NaN NaN NaN NaN NaN NaN NaN 759.2 148.86 88.83 0.962 117 NaN 1.4498e+05 3.744e+05 32945 1450 292.64 1102 2.198 760 2.93 4.1545e+05 7.1203e+05 1.1315e+05
2/28/1990 325.2 3108.9 8786.9 2.146 27020 1.47 6.9904e+06 1.2466e+07 1.4448e+06 NaN NaN NaN NaN NaN NaN NaN NaN NaN 825 161.76 96.52 0.962 117 NaN 1.4498e+05 3.744e+05 32945 1401 282.75 1064.8 2.198 760 2.83 4.1545e+05 7.1203e+05 1.1315e+05
3/30/1990 313.6 2998.1 8473.5 2.146 27020 1.42 6.9904e+06 1.2466e+07 1.4448e+06 NaN NaN NaN NaN NaN NaN NaN NaN NaN 836.75 164.07 97.9 0.962 117 NaN 1.4498e+05 3.744e+05 32945 1457.5 294.16 1107.7 2.198 760 2.95 4.1545e+05 7.1203e+05 1.1315e+05
4/30/1990 285.2 2764.5 7706.1 2.146 27020 1.29 6.9904e+06 1.2466e+07 1.4448e+06 NaN NaN NaN NaN NaN NaN NaN NaN NaN 840 164.71 98.28 0.962 117 NaN 1.4498e+05 3.744e+05 32945 1370 276.49 1041.2 2.198 760 2.77 4.1545e+05 7.1203e+05 1.1315e+05
5/31/1990 303.8 2944.8 8208.7 2.146 27020 1.38 6.9904e+06 1.2466e+07 1.4448e+06 NaN NaN NaN NaN NaN NaN NaN NaN NaN 960.95 188.42 112.43 0.962 117 NaN 1.4498e+05 3.744e+05 32945 1464.5 295.55 1113 2.198 760 2.96 4.1545e+05 7.1203e+05 1.1315e+05
6/29/1990 315.6 3059.2 8527.5 2.146 27020 1.43 6.9904e+06 1.2466e+07 1.4448e+06 NaN NaN NaN NaN NaN NaN NaN NaN NaN 860 193.82 187.48 0.962 218 NaN 1.4498e+05 3.744e+05 32945 1416.7 285.91 1076.7 2.198 760 2.86 4.1545e+05 7.1203e+05 1.1315e+05
7/31/1990 333.5 3232.7 9011.2 2.146 27020 1.51 6.9904e+06 1.2466e+07 1.4448e+06 NaN NaN NaN NaN NaN NaN NaN NaN NaN 970 218.61 211.46 0.962 218 NaN 1.4498e+05 3.744e+05 32945 1430 288.6 1086.8 2.198 760 2.89 4.1545e+05 7.1203e+05 1.1315e+05
8/31/1990 321.3 3114.5 8681.5 2.146 27020 1.46 6.9904e+06 1.2466e+07 1.4448e+06 NaN NaN NaN NaN NaN NaN NaN NaN NaN 850 191.57 185.3 0.801 218 NaN 1.2233e+05 3.8782e+05 -1578 1390 280.53 1056.4 2.198 760 2.81 4.1545e+05 7.1203e+05 1.1315e+05
9/28/1990 307.9 2984.6 8319.5 2.146 27020 1.39 6.9904e+06 1.2466e+07 1.4448e+06 NaN NaN NaN NaN NaN NaN NaN NaN NaN 800 180.3 174.4 0.801 218 NaN 1.2233e+05 3.8782e+05 -1578 1350 272.46 1026 2.198 760 2.73 4.1545e+05 7.1203e+05 1.1315e+05
>>
>> imvt=find(contains(t.Properties.VariableDescriptions,'MV#T'));
>> t(1:10,imvt)
ans =
10×4 table
DK_NON_MV_T__DK DK_DEN_MV_T__DK DK_DSV_MV_T__DK DK_COL_MV_T__DK
_______________ _______________ _______________ _______________
8967.9 NaN 84.82 963.81
8732.9 NaN 88.83 1102
8786.9 NaN 96.52 1064.8
8473.5 NaN 97.9 1107.7
7706.1 NaN 98.28 1041.2
8208.7 NaN 112.43 1113
8527.5 NaN 187.48 1076.7
9011.2 NaN 211.46 1086.8
8681.5 NaN 185.3 1056.4
8319.5 NaN 174.4 1026
>>
>> format bank
>> [min(t{:,imvt});max(t{:,imvt});mean(t{:,imvt})]
ans =
7706.10 100681.20 79.57 963.81
824819.00 183412.20 113138.40 137609.90
201838.45 NaN 17838.16 30106.59