Package: tidycharts 0.1.3
tidycharts: Generate Tidy Charts Inspired by 'IBCS'
There is a wide range of R packages created for data visualization, but still, there was no simple and easily accessible way to create clean and transparent charts - up to now. The 'tidycharts' package enables the user to generate charts compliant with International Business Communication Standards ('IBCS'). It means unified bar widths, colors, chart sizes, etc. Creating homogeneous reports has never been that easy! Additionally, users can apply semantic notation to indicate different data scenarios (plan, budget, forecast). What's more, it is possible to customize the charts by creating a personal color pallet with the possibility of switching to default options after the experiments. We wanted the package to be helpful in writing reports, so we also made joining charts in a one, clear image possible. All charts are generated in SVG format and can be shown in the 'RStudio' viewer pane or exported to HTML output of 'knitr'/'markdown'.
Authors:
tidycharts_0.1.3.tar.gz
tidycharts_0.1.3.zip(r-4.5)tidycharts_0.1.3.zip(r-4.4)tidycharts_0.1.3.zip(r-4.3)
tidycharts_0.1.3.tgz(r-4.4-any)tidycharts_0.1.3.tgz(r-4.3-any)
tidycharts_0.1.3.tar.gz(r-4.5-noble)tidycharts_0.1.3.tar.gz(r-4.4-noble)
tidycharts_0.1.3.tgz(r-4.4-emscripten)tidycharts_0.1.3.tgz(r-4.3-emscripten)
tidycharts.pdf |tidycharts.html✨
tidycharts/json (API)
# Install 'tidycharts' in R: |
install.packages('tidycharts', repos = c('https://mi2datalab.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mi2datalab/tidycharts/issues
Last updated 3 years agofrom:9478275d2e. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 13 2024 |
R-4.5-win | OK | Oct 13 2024 |
R-4.5-linux | OK | Oct 13 2024 |
R-4.4-win | OK | Oct 13 2024 |
R-4.4-mac | OK | Oct 13 2024 |
R-4.3-win | OK | Oct 13 2024 |
R-4.3-mac | OK | Oct 13 2024 |
Exports:add_titlebar_chartbar_chart_absolute_variancebar_chart_groupedbar_chart_normalizedbar_chart_referencebar_chart_relative_variancebar_chart_waterfallcolumn_chartcolumn_chart_absolute_variancecolumn_chart_groupedcolumn_chart_normalizedcolumn_chart_referencecolumn_chart_relative_variancecolumn_chart_waterfallcolumn_chart_waterfall_variancefacet_chartjoin_chartsline_chartline_chart_denseline_chart_dense_customline_chart_markersline_chart_markers_referenceline_chart_normalizedline_chart_stackedparse_time_seriesreset_marginsrestore_defaultsscatter_plotset_colorsset_marginsset_scatter_colorsset_stylesSVGrendererSVGsave
Dependencies:base64encbriobslibcachemcallrclicpp11crayoncurldescdiffobjdigestevaluatefansifastmapfontawesomefsgenericsgluehighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlifecyclelubridatemagickmagrittrmemoisemimepillarpkgbuildpkgconfigpkgloadpraiseprocessxpsR6rappdirsRcpprematch2rlangrmarkdownrprojrootrsvgsassstringistringrtestthattibbletimechangetinytexutf8vctrswaldowithrxfunyaml
Customizing the Package
Rendered fromcustomize-package.Rmd
usingknitr::rmarkdown
on Oct 13 2024.Last update: 2022-01-17
Started: 2021-08-17
EDA-for-palmer-penguins-data-set
Rendered fromEDA-for-palmer-penguins-data-set.Rmd
usingknitr::rmarkdown
on Oct 13 2024.Last update: 2021-08-30
Started: 2021-08-10
Getting Started
Rendered fromGetting_Started.Rmd
usingknitr::rmarkdown
on Oct 13 2024.Last update: 2022-01-17
Started: 2021-08-09
Joining charts
Rendered fromjoin_charts.Rmd
usingknitr::rmarkdown
on Oct 13 2024.Last update: 2021-08-26
Started: 2021-08-17