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docs/HTML/DataFrame.html

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   <H2><font color="blue">Summary</font></H2>
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-  <font size="+1">DataFrame</font> is a templatized and heterogeneous C++ container designed for data analysis for statistical, machine-learning, or financial applications. You can think of data-frame as a two-dimensional data structure of columns and rows just like an Excel spreadsheet, or a SQL table. But in case of C++ DataFrame, your data needn’t be two-dimensional necessarily. Columns in the C++ DataFrame could be vectors of any type, including DataFrames or other containers. So, a C++ DataFrame can be of any dimension.
+  <font size="+1">DataFrame</font> is a templatized and heterogeneous C++ container designed for data analysis for statistical, machine-learning, or financial applications. You can think of data-frame as a two-dimensional data structure of columns and rows just like an Excel spreadsheet, or a SQL table. But in case of C++ DataFrame, your data needn’t be two-dimensional necessarily. Columns in the C++ DataFrame could be vectors of any type, including DataFrames or other containers. So, a C++ DataFrame can be of any dimension. That's the logical layout of the data. C++ DataFrame also includes an intuitive API for data analysis and analytics. The API is designed to be open-ended meaning you can easily include your own custom algorithms.<BR>
+  Any data-frame inherently includes a schema. C++ DataFrame schema is either built dynamically at run-time or it comes from a file. Currently C++ DataFrame could be shared between different nodes (e.g. computers) in a couple of ways. It can be written into a file, or it can be serialized into a buffer and sent across and reconstituted on the other side.
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     <LI>A DataFrame can have one index column and many data columns of any built-in or user-defined types</LI>
     <LI>Each column in DataFrame could be at most as long as the index column</LI>