Note that this is an other name for
Value Attribute Classification done on a
cell_df next task to do is
analyze it's contents for data block detection, attribute orientation identification etc. The function
analyze_cells (and also
does the same for you.
If you are not sure about what package functions actually do or how they work together,
please start with
logical scalar indicating whether to raise a warning if heuristic detection fails. (Default TRUE).
it returns detailed analysis of the data structure including data block detection, attribute orientation detection etc.
silent is set to
TRUE by default, as the warning will be given whenever the
cell_analysis is printed.
After this step one may like to do :
If in an interactive session, following additional functions can be helpful for interactive visualizations:
Detailed analysis of the cell data structure.
Which will be a
cell_analysis class object.
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