Description Usage Arguments Details Value See Also
Note that this is an other name for tidycells::analyze_cells
.
After 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 analyse_cells
)
does the same for you.
Note:
If you are not sure about what package functions actually do or how they work together,
please start with vignette("tidycells-intro")
.
1 | analyse_cells(d, silent = TRUE)
|
d |
A |
silent |
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.
The argument 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 :
compose_cells
If in an interactive session, following additional functions can be helpful for interactive visualizations:
visual_data_block_inspection
visual_orientation_modification
visual_traceback
Detailed analysis of the cell data structure.
Which will be a cell_analysis
class object.
compose_cells
, collate_columns
, analyze_cells
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