echarts4r
| echarts4r | gantt-schedule-timeline-calend | |
|---|---|---|
| 3 | 1 | |
| 573 | - | |
| - | - | |
| 7.2 | - | |
| 2 months ago | - | |
| JavaScript | ||
| GNU General Public License v3.0 or later | - |
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echarts4r
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A love letter to Apache Echarts
You can also use Apache Echarts through R with this package: https://echarts4r.john-coene.com/
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echarts4r VS echarty - a user suggested alternative
2 projects | 2 Jun 2022
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I'd like to know R but my immediate need is to make interactive charts in html format for web publication. Is ggplotly any good?
This might shock you, but open-source software is an open and collaborative effort. If you think that the example with two Y-axes undermines this entire project, you can go to the echarts4r github repository, open a pull request (the website is made via pkgdown), and propose improvements to the documentation. Maybe do something good instead??
gantt-schedule-timeline-calend
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A love letter to Apache Echarts
We’ve used this [1] library before and were able to customize it pretty heavily.
[1] https://github.com/neuronetio/gantt-schedule-timeline-calend...
What are some alternatives?
plotly.js - Open-source JavaScript charting library behind Plotly and Dash
patchwork - The Composer of ggplots
echarty - The goal of echarty is to provide a minimal interface, a “glue”, between R and ECharts, then let your R data lists build the chart. There are utilities included to assist with data preparation, Shiny with proxy and JS plugins. Have the full functionality of ECharts in R with minimal overhead!
wink-nlp - Developer friendly Natural Language Processing ✨
shinyjs - 💡 Easily improve the user experience of your Shiny apps in seconds
rnim - A bridge between R and Nim
r-shinylive-demo - Deploying an R Shiny Application in Quarto with Shinylive (No Shiny Server Required)
understatr - fetch understat data
echarts-gl - Extension pack for Apache ECharts, providing globe visualization and 3D plots.
datascience-box - Data Science Course in a Box [Moved to: https://github.com/tidyverse/datascience-box]
LDAvis - R package for web-based interactive topic model visualization.