Improve autoplot for when dealing with many unique keys + heatmap#693
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JavierMtzRdz wants to merge 92 commits intodevfrom
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Improve autoplot for when dealing with many unique keys + heatmap#693JavierMtzRdz wants to merge 92 commits intodevfrom
autoplot for when dealing with many unique keys + heatmap#693JavierMtzRdz wants to merge 92 commits intodevfrom
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… step for epi_df.
…ed x-axis, and improved mode bar controls, and refine data grouping and subsampling warnings.
…ve `autoplot` and archive views to use it
JavierMtzRdz
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autoplot for when dealing with many unique keysautoplot for when dealing with many unique keys + heatmap
…format the epi_df when in long format.
…eformat the epi_df when in long format.
It verifies that autoplot chooses the value when no variable is specified.
…le is not numeric.
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It seems useful/common enough that we should not have a hiccup requiring user to go back and install plotly.
And add lines in examples so that paragraph-chunk-eval will actually let user look at each one.
…arning and error messages
…c for facets, dropdowns, and color legends.
… removing jsonlite dependency.
…iple signal variables
…ot all numeric columns by default, and standardize values in `plot_heatmap` for multiple variables.
… create specific pivot functions for epi_df and epi_archive
…d create specific pivot functions for epi_df and epi_archive
5 tasks
The results were still probably valid and converting is slower, but we don't want any surprises.
Automated pivoting for long-format data with `as_epi_*` and enhanced response selection in `autoplot`
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Checklist
Please:
PR).
brookslogan, nmdefries.
DESCRIPTION. Always incrementthe patch version number (the third number), unless you are making a
release PR from dev to main, in which case increment the minor version
number (the second number).
(backwards-incompatible changes to the documented interface) are noted.
Collect the changes under the next release number (e.g. if you are on
1.7.2, then write your changes under the 1.8 heading).
/styleto check the style and fix any issues./documentto check the package documentation and fix any issues./preview-docsto preview the docs.process.
Improve
autoplotfor when dealing with many unique keysThis PR improves the usability and performance of
autoplot()when handling many distinct key combinations. It introduces automatic subsampling for static plots and an interactive dropdown interface for easier exploration.Static plots for
epi_dfwith many keys now automatically subsample to 10 unique keys by default. This prevents the plot from becoming unreadable. When subsampling occurs, a warning is issued with suggestions for.max_keys = Inf,interactive = TRUE, or.facet_filter.Added the
interactiveparameter to support plotly plots. In this scenario, facetedepi_dfandepi_archiveplots use dropdown menus.I also included the heatmap function we previously discussed.
Some examples below.
reprex_pr_explanation.html
Magic GitHub syntax to mark associated Issue(s) as resolved when this is merged into the default branch