Data structure organization inside LeoDataAnalysis.

Data structure incorporated in LeoDataAnalysis could be described as a array of tables with named columns and numerical values. A term "data" is used here in a sense of a collection of numerical measurements in most broad sense of this word like an output of physical experiment, customers data, price - time series etc. that could be organized in a form of a tables. One column of data also refers here as variable has following attributes:
  • name
  • status to be an Argument, a Value or Inactive;
  • marker with its color, shape and size for values.

    Data structure is organized as a collection (array) of tables with the same number of columns (parameters) for each table these have its own number of records. All of these tables ought to have exact the same ordered assignment of parameters by their status.

    There is a principal example of data structure organization in LeoDataAnalysis as it could be seen outside:

    Series 1

    Name: x y z
    Status: A V I
    Shape: N/A square N/A
    Color: N/A blue N/A
    Size: N/A 3 N/A

    0 4 11

    0.25 4.0 11.5

    0.5 4.25 13.0

    0.75 4.5 15.8

    1 5 20

    1.25 5.5 25.9

    1.5 6.2 34.0

    1.75 7.0 44.8

    2 8 59

    2.25 9.0 77.1

    2.5 10.2 100.0

    2.75 11.5 128.6

    3 13 164

    3.25 14.5 207.0

    3.5 16.25 259.0

    3.75 18.0 321.2

    4 20 395

    4.25 22. 481.7

    4.5 24.2 583.0

    4.75 26.5 700.5
    Series 2
    Name: x v z1
    Status: A V I
    Shape: N/A circle N/A
    Color: N/A green N/A
    Size: N/A 9 N/A

    0.01 -5 22.5

    0.33 -4.9 19.6

    0.66 -4.7 17.2

    0.99 -4.0 11.2

    1.32 -2.7 2.2

    1.65 -0.5 -4.7

    1.98 2.7 2.6

    2.31 7.3 48.6

    2.64 13.3 174.5



    There is a screenshot of LeoDataAnalysis showing set of data is presented above:



    The largest number of records in one series that LeoDataAnalysis can handle programmable is 232= 1010 cells (number rows*number columns for all data series). But, of course, realistically speaking much smaller data sets can be calculated without lost of patience with the help of modern computers. But as soon it depends on productivity of you computer - try for yourself.

    An internal presentation of the data structure in LeoDataAnalysis is of course differ - all data are stored in one array. LeoDataAnalysis is using a NetCDF format for storage or data current snapshot of data and statistical analysis in NetCDF binary file.

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