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Interpolation in excel with uneven amount of data


How do I create an Excel (.XLS and .XLSX) file in C# without installing Microsoft Office?How do I properly clean up Excel interop objects?How to create strings containing double quotes in Excel formulas?Interpolating data points in ExcelReturn empty cell from formula in ExcelWhat is correct content-type for excel files?Excel to CSV with UTF8 encodingShortcut to Apply a Formula to an Entire Column in ExcelHow to avoid using Select in Excel VBAInterpolating uneven data with SciPy






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0















I have a base data set which includes elevation and dept. then I have my own data set that has depth and corresponding temperature value for this depth. there is more data points in the measured data. I need to calculate the true vertical depth of this MD_data.



I am trying to interpolate the measured depth to the elevation but cannot figure it out either with excel or matlab.



Could anyone help.



For example:



Base data:



Elevation MD_1
5.13 0
2.9 3
0.68 6


and then my own data:



MD_data temp
0.71 11.01
0.76 11.0086
0.81 10.9663
0.86 10.9318
0.91 10.9182
0.96 10.8929
1.01 10.8746
1.06 10.8506
1.11 10.8495
1.16 10.8333
1.21 10.8162
1.26 10.8273
1.31 10.8178
1.36 10.7959
1.41 10.8046
1.46 10.7864
1.51 10.7972
1.56 10.7994
1.61 10.7878
1.66 10.7709
1.71 10.7745
1.76 10.7559
1.81 10.7559
1.86 10.751
1.91 10.7483
1.96 10.7508
2.01 10.7433
2.06 10.7393
2.11 10.7199
2.16 10.7167
2.21 10.7288
2.26 10.7073
2.31 10.6963
2.36 10.7073
2.41 10.7071
2.46 10.6846
2.51 10.6646
2.55 10.6653
2.6 10.6644
2.65 10.6406
2.7 10.6254
2.75 10.6189
2.8 10.6079
2.85 10.6008
2.9 10.5731
2.95 10.5565
3 10.5586
3.05 10.5456
3.1 10.5236
3.15 10.5166
3.2 10.4955
3.25 10.4893
3.3 10.4689
3.35 10.425
3.4 10.4066
3.45 10.426
3.5 10.368
3.55 10.3387
3.6 10.3343
3.65 10.3008
3.7 10.2471
3.75 10.2524
3.8 10.2117
3.85 10.1843
3.9 10.1568
3.95 10.1285
4 10.125
4.05 10.0546
4.1 10.0416
4.15 10.0153
4.2 9.99575
4.25 9.94704
4.3 9.9299
4.35 9.89131
4.4 9.8462
4.45 9.83795
4.5 9.76133
4.55 9.73264
4.6 9.68054
4.65 9.65384
4.7 9.6216
4.75 9.61552
4.8 9.52464
4.84 9.52095
4.89 9.47829
4.94 9.44347
4.99 9.41413
5.04 9.36617
5.09 9.33437
5.14 9.28475
5.19 9.25456
5.24 9.23113
5.29 9.19137
5.34 9.14046
5.39 9.11016
5.44 9.07665
5.49 9.04492
5.54 8.97973
5.59 8.94247
5.64 8.90707
5.69 8.85949
5.74 8.81783
5.79 8.77764
5.84 8.73316
5.89 8.69131
5.94 8.64269
5.99 8.62218
6.04 8.57532









share|improve this question






























    0















    I have a base data set which includes elevation and dept. then I have my own data set that has depth and corresponding temperature value for this depth. there is more data points in the measured data. I need to calculate the true vertical depth of this MD_data.



    I am trying to interpolate the measured depth to the elevation but cannot figure it out either with excel or matlab.



    Could anyone help.



    For example:



    Base data:



    Elevation MD_1
    5.13 0
    2.9 3
    0.68 6


    and then my own data:



    MD_data temp
    0.71 11.01
    0.76 11.0086
    0.81 10.9663
    0.86 10.9318
    0.91 10.9182
    0.96 10.8929
    1.01 10.8746
    1.06 10.8506
    1.11 10.8495
    1.16 10.8333
    1.21 10.8162
    1.26 10.8273
    1.31 10.8178
    1.36 10.7959
    1.41 10.8046
    1.46 10.7864
    1.51 10.7972
    1.56 10.7994
    1.61 10.7878
    1.66 10.7709
    1.71 10.7745
    1.76 10.7559
    1.81 10.7559
    1.86 10.751
    1.91 10.7483
    1.96 10.7508
    2.01 10.7433
    2.06 10.7393
    2.11 10.7199
    2.16 10.7167
    2.21 10.7288
    2.26 10.7073
    2.31 10.6963
    2.36 10.7073
    2.41 10.7071
    2.46 10.6846
    2.51 10.6646
    2.55 10.6653
    2.6 10.6644
    2.65 10.6406
    2.7 10.6254
    2.75 10.6189
    2.8 10.6079
    2.85 10.6008
    2.9 10.5731
    2.95 10.5565
    3 10.5586
    3.05 10.5456
    3.1 10.5236
    3.15 10.5166
    3.2 10.4955
    3.25 10.4893
    3.3 10.4689
    3.35 10.425
    3.4 10.4066
    3.45 10.426
    3.5 10.368
    3.55 10.3387
    3.6 10.3343
    3.65 10.3008
    3.7 10.2471
    3.75 10.2524
    3.8 10.2117
    3.85 10.1843
    3.9 10.1568
    3.95 10.1285
    4 10.125
    4.05 10.0546
    4.1 10.0416
    4.15 10.0153
    4.2 9.99575
    4.25 9.94704
    4.3 9.9299
    4.35 9.89131
    4.4 9.8462
    4.45 9.83795
    4.5 9.76133
    4.55 9.73264
    4.6 9.68054
    4.65 9.65384
    4.7 9.6216
    4.75 9.61552
    4.8 9.52464
    4.84 9.52095
    4.89 9.47829
    4.94 9.44347
    4.99 9.41413
    5.04 9.36617
    5.09 9.33437
    5.14 9.28475
    5.19 9.25456
    5.24 9.23113
    5.29 9.19137
    5.34 9.14046
    5.39 9.11016
    5.44 9.07665
    5.49 9.04492
    5.54 8.97973
    5.59 8.94247
    5.64 8.90707
    5.69 8.85949
    5.74 8.81783
    5.79 8.77764
    5.84 8.73316
    5.89 8.69131
    5.94 8.64269
    5.99 8.62218
    6.04 8.57532









    share|improve this question


























      0












      0








      0








      I have a base data set which includes elevation and dept. then I have my own data set that has depth and corresponding temperature value for this depth. there is more data points in the measured data. I need to calculate the true vertical depth of this MD_data.



      I am trying to interpolate the measured depth to the elevation but cannot figure it out either with excel or matlab.



      Could anyone help.



      For example:



      Base data:



      Elevation MD_1
      5.13 0
      2.9 3
      0.68 6


      and then my own data:



      MD_data temp
      0.71 11.01
      0.76 11.0086
      0.81 10.9663
      0.86 10.9318
      0.91 10.9182
      0.96 10.8929
      1.01 10.8746
      1.06 10.8506
      1.11 10.8495
      1.16 10.8333
      1.21 10.8162
      1.26 10.8273
      1.31 10.8178
      1.36 10.7959
      1.41 10.8046
      1.46 10.7864
      1.51 10.7972
      1.56 10.7994
      1.61 10.7878
      1.66 10.7709
      1.71 10.7745
      1.76 10.7559
      1.81 10.7559
      1.86 10.751
      1.91 10.7483
      1.96 10.7508
      2.01 10.7433
      2.06 10.7393
      2.11 10.7199
      2.16 10.7167
      2.21 10.7288
      2.26 10.7073
      2.31 10.6963
      2.36 10.7073
      2.41 10.7071
      2.46 10.6846
      2.51 10.6646
      2.55 10.6653
      2.6 10.6644
      2.65 10.6406
      2.7 10.6254
      2.75 10.6189
      2.8 10.6079
      2.85 10.6008
      2.9 10.5731
      2.95 10.5565
      3 10.5586
      3.05 10.5456
      3.1 10.5236
      3.15 10.5166
      3.2 10.4955
      3.25 10.4893
      3.3 10.4689
      3.35 10.425
      3.4 10.4066
      3.45 10.426
      3.5 10.368
      3.55 10.3387
      3.6 10.3343
      3.65 10.3008
      3.7 10.2471
      3.75 10.2524
      3.8 10.2117
      3.85 10.1843
      3.9 10.1568
      3.95 10.1285
      4 10.125
      4.05 10.0546
      4.1 10.0416
      4.15 10.0153
      4.2 9.99575
      4.25 9.94704
      4.3 9.9299
      4.35 9.89131
      4.4 9.8462
      4.45 9.83795
      4.5 9.76133
      4.55 9.73264
      4.6 9.68054
      4.65 9.65384
      4.7 9.6216
      4.75 9.61552
      4.8 9.52464
      4.84 9.52095
      4.89 9.47829
      4.94 9.44347
      4.99 9.41413
      5.04 9.36617
      5.09 9.33437
      5.14 9.28475
      5.19 9.25456
      5.24 9.23113
      5.29 9.19137
      5.34 9.14046
      5.39 9.11016
      5.44 9.07665
      5.49 9.04492
      5.54 8.97973
      5.59 8.94247
      5.64 8.90707
      5.69 8.85949
      5.74 8.81783
      5.79 8.77764
      5.84 8.73316
      5.89 8.69131
      5.94 8.64269
      5.99 8.62218
      6.04 8.57532









      share|improve this question
















      I have a base data set which includes elevation and dept. then I have my own data set that has depth and corresponding temperature value for this depth. there is more data points in the measured data. I need to calculate the true vertical depth of this MD_data.



      I am trying to interpolate the measured depth to the elevation but cannot figure it out either with excel or matlab.



      Could anyone help.



      For example:



      Base data:



      Elevation MD_1
      5.13 0
      2.9 3
      0.68 6


      and then my own data:



      MD_data temp
      0.71 11.01
      0.76 11.0086
      0.81 10.9663
      0.86 10.9318
      0.91 10.9182
      0.96 10.8929
      1.01 10.8746
      1.06 10.8506
      1.11 10.8495
      1.16 10.8333
      1.21 10.8162
      1.26 10.8273
      1.31 10.8178
      1.36 10.7959
      1.41 10.8046
      1.46 10.7864
      1.51 10.7972
      1.56 10.7994
      1.61 10.7878
      1.66 10.7709
      1.71 10.7745
      1.76 10.7559
      1.81 10.7559
      1.86 10.751
      1.91 10.7483
      1.96 10.7508
      2.01 10.7433
      2.06 10.7393
      2.11 10.7199
      2.16 10.7167
      2.21 10.7288
      2.26 10.7073
      2.31 10.6963
      2.36 10.7073
      2.41 10.7071
      2.46 10.6846
      2.51 10.6646
      2.55 10.6653
      2.6 10.6644
      2.65 10.6406
      2.7 10.6254
      2.75 10.6189
      2.8 10.6079
      2.85 10.6008
      2.9 10.5731
      2.95 10.5565
      3 10.5586
      3.05 10.5456
      3.1 10.5236
      3.15 10.5166
      3.2 10.4955
      3.25 10.4893
      3.3 10.4689
      3.35 10.425
      3.4 10.4066
      3.45 10.426
      3.5 10.368
      3.55 10.3387
      3.6 10.3343
      3.65 10.3008
      3.7 10.2471
      3.75 10.2524
      3.8 10.2117
      3.85 10.1843
      3.9 10.1568
      3.95 10.1285
      4 10.125
      4.05 10.0546
      4.1 10.0416
      4.15 10.0153
      4.2 9.99575
      4.25 9.94704
      4.3 9.9299
      4.35 9.89131
      4.4 9.8462
      4.45 9.83795
      4.5 9.76133
      4.55 9.73264
      4.6 9.68054
      4.65 9.65384
      4.7 9.6216
      4.75 9.61552
      4.8 9.52464
      4.84 9.52095
      4.89 9.47829
      4.94 9.44347
      4.99 9.41413
      5.04 9.36617
      5.09 9.33437
      5.14 9.28475
      5.19 9.25456
      5.24 9.23113
      5.29 9.19137
      5.34 9.14046
      5.39 9.11016
      5.44 9.07665
      5.49 9.04492
      5.54 8.97973
      5.59 8.94247
      5.64 8.90707
      5.69 8.85949
      5.74 8.81783
      5.79 8.77764
      5.84 8.73316
      5.89 8.69131
      5.94 8.64269
      5.99 8.62218
      6.04 8.57532






      excel matlab excel-formula interpolation






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      edited Mar 26 at 13:50









      HansHirse

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      asked Mar 26 at 13:38









      alexalex

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          1 Answer
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          Interpolation is fairly easy in Matlab. Check out interp1(): https://www.mathworks.com/help/matlab/ref/interp1.html



          If you provide the 3-row data as x and v (column 2 and column 1 respectively), and the first column n-row as xq you'll get back the corresponding elevations for your n-row data.



          Keep in mind that you should have some idea of how you want to interpolate. Linear interpolation vs. cubic interpolation vs. others will produce different results. That link will have some documentation as to which method does what.






          share|improve this answer






















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            1 Answer
            1






            active

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            active

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            active

            oldest

            votes









            0














            Interpolation is fairly easy in Matlab. Check out interp1(): https://www.mathworks.com/help/matlab/ref/interp1.html



            If you provide the 3-row data as x and v (column 2 and column 1 respectively), and the first column n-row as xq you'll get back the corresponding elevations for your n-row data.



            Keep in mind that you should have some idea of how you want to interpolate. Linear interpolation vs. cubic interpolation vs. others will produce different results. That link will have some documentation as to which method does what.






            share|improve this answer



























              0














              Interpolation is fairly easy in Matlab. Check out interp1(): https://www.mathworks.com/help/matlab/ref/interp1.html



              If you provide the 3-row data as x and v (column 2 and column 1 respectively), and the first column n-row as xq you'll get back the corresponding elevations for your n-row data.



              Keep in mind that you should have some idea of how you want to interpolate. Linear interpolation vs. cubic interpolation vs. others will produce different results. That link will have some documentation as to which method does what.






              share|improve this answer

























                0












                0








                0







                Interpolation is fairly easy in Matlab. Check out interp1(): https://www.mathworks.com/help/matlab/ref/interp1.html



                If you provide the 3-row data as x and v (column 2 and column 1 respectively), and the first column n-row as xq you'll get back the corresponding elevations for your n-row data.



                Keep in mind that you should have some idea of how you want to interpolate. Linear interpolation vs. cubic interpolation vs. others will produce different results. That link will have some documentation as to which method does what.






                share|improve this answer













                Interpolation is fairly easy in Matlab. Check out interp1(): https://www.mathworks.com/help/matlab/ref/interp1.html



                If you provide the 3-row data as x and v (column 2 and column 1 respectively), and the first column n-row as xq you'll get back the corresponding elevations for your n-row data.



                Keep in mind that you should have some idea of how you want to interpolate. Linear interpolation vs. cubic interpolation vs. others will produce different results. That link will have some documentation as to which method does what.







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Mar 26 at 14:09









                dwethdweth

                786 bronze badges




                786 bronze badges


















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