victormeb / advanced-graphs-v4.0.0 Goto Github PK
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License: MIT License
Version developed by Joel Cohen
License: MIT License
advanced_graphs.php currently has the current version of Pandoc hard coded, this is because after updating Rstudio, advanced_graphs.php was no longer loading the current version of Pandoc.
The benefit to joining across all ID fields is that we don't get duplicate field_2.x field_2.y columns.
Note: in theory field_2.x, field_2.y should be identical.
A potential solution could be to make the left suffix the empty string and the y suffix something which can be ignored.
Another solution could be to subset report data by the id column of the filtered records.
My proposed solution is that we do an inner join on all columns, though there will be a speed drawback, it should mean we don't have to necessarily include the report id in the report. NOTE: CHECK BEHAVIOUR OF DUPLICATE ROWS ON INNER JOIN
Data processing would be much faster if data.table was used. Though it will be more difficult to read the speedup could be worth it.
Create sample data dictionary and report data so graphs can be tested without server.
Look into Likert library's built in solutions for automatically determining size of plotting window.
Look into solutions that scale the size of the window based on the number of categories.
In the case where all the numeric columns entries are NA for a given category, should that bar still be plotted with 0 or should it be omitted from the plot?
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