rmarkdown
bpmn-visualization-R
Our great sponsors
rmarkdown | bpmn-visualization-R | |
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38 | 8 | |
2,795 | 15 | |
0.9% | - | |
7.6 | 7.8 | |
11 days ago | 1 day ago | |
R | R | |
GNU General Public License v3.0 only | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
rmarkdown
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Pandoc
I'm surprised to see no one has pointed out [RMarkdown + RStudio](https://rmarkdown.rstudio.com) as one way to immediately interface with Pandoc.
I used to write papers and slides in LaTeX (using vim, because who needs render previews), then eventually switched to Pandoc (also vim). I eventually discovered RMarkdown+RStudio. I was looking for a nice way to format a simple table and discovered that rmarkdown had nice extensions of basic markdown (this was many years ago so maybe that is incorporated into vanilla markdown/pandoc).
The RMarkdown page claims:
> R Markdown supports dozens of static and dynamic output formats including HTML, PDF, MS Word, Beamer, HTML5 slides, Tufte-style handouts, books, dashboards, shiny applications, scientific articles, websites, and more.
...which I think is largely due to using pandoc as the core generator.
RStudio shows you the pandoc command it runs to generate your document, which I've used to figure out the pandoc command I want to run when I've switched to using pandoc directly.
This is a bit of a "lazy" way to interact with pandoc. Maybe the "laziest" aspect: when I get a new computer, I can install the entire stack by installing Rstudio, then opening a new rmarkdown document. Rstudio asks whether I'd like to install all the necessary libraries -- click "yes" and that's it. Maybe that sounds silly but it used to be a lot of work to manage your LaTeX install. These days I greatly favor things that save me time, which seems to get more precious every year.
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2023 Lookback
Then, I worked on a Shiny project where I had to learn R Markdown. I was very excited about it because being paid to learn a new technology is something I have always preferred. I also worked with Highcharts graphs, which I didn’t do for years. It was also the first time I was being paid to design something. I didn’t enjoy that part as much as development, but I cannot say it was a bother either.
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Why won't my boxplot knit?
files/figure-latex/unnamed-chunk-2-1.pdf) Try to find the following text in midterm-question.Rmd: ![](midterm-question_ You may need to add $ $ around a certain inline R expression `r ` in midterm-question.Rmd (see the above hint). See https://github.com/rstudio/rmarkdown/issues/385 for more info.
- new learner to R .. need help
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We’re Washington Post reporters who analyzed Google’s C4 data set to see which websites AI uses to make itself sound smarter. Ask us Anything!
We used R Markdown for cleaning and analysis, creating updateable web pages we could share with everyone involved. Similarweb’s categories were useful, but too niche for us. So we spent a lot of time recategorizing and redefining the groupings. We used the token count for each website — how many words or phrases — to measure it’s importance in the overall training data.
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Possible to include inline code in a math equation in Org mode?
In [R Markdown](https://rmarkdown.rstudio.com/) or [Quarto](https://quarto.org/), I can include inline code in a math equation, e.g.,
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I have to somehow convert this chart into an html file into a file that opens like a website any ideas?
you probably want an rmd file with html output
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Seeking some markdown help - please redirect me elsewhere if this doesn't belong here
GitHub issue code folding
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Generating PDF 📄 with Python 🐍
R Markdown / Quarto https://quarto.org/ https://rmarkdown.rstudio.com/ ; can dynamically generate a document and compile it to HTML, PDF, others
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PYTHON CHARTS: the Python data visualization site with more than 500 different charts with reproducible code and color tools
Hi! At this moment I'm not opening the source code, but I can explain you the tech used. This site is based on another site I created before named https://r-charts.com/ and it was created with blogdown (HUGO + R Markdown). Hence, each tutorials is an R markdown file. For PYTHON CHARTS, in order to run Python within an R markdown file I had to use an R package named reticulate. In addition, the template depends on shuffle.js for filtering and fuse.js for searching
bpmn-visualization-R
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Process Analytics - January 2023 News
Notice that the package has been renamed. Please check out the corresponding release notes to see what changes you need to make in your R project to use the updated package.
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Process Analytics - November 2022 News
In November, we released 2 versions: 0.2.1 and 0.2.2.
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Hacktoberfest 2022: Now, it's an official Process Analytics tradition!
We had our first external contribution on the BPMN Visualization - R Package 🥳
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Process Analytics - October 2022 News
As we said previously, the Process Analytics team participated in Hacktoberfest 2022. We opened dedicated issues of all flavors on our various repositories: bpmn-visualization Typescript library, its related examples repository, the project website and the bpmn-visualization R package.
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Hacktoberfest 2021: Process Analytics makes its mark
We offered the community the opportunity to work on our cornerstone bpmn-visualization Typescript library, its related examples repository, the project website and the recently released R package.
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Using BPMN Visualization in R
The new BPMN Visualization - R Package is being developed to offer another way to visualize process execution data in R.
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Hacktoberfest 2021 with Process Analytics
R users 📈 will be interested in bpmn-visualization-R, the R package for visualizing process execution data on BPMN diagrams, using overlays, style customization and interactions.
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Process Analytics - August 2021 Newsletter
The Process Analytics team has also started a useful new project/library for the R ecosystem: BPMN Visualization - R Package.
What are some alternatives?
Pluto.jl - 🎈 Simple reactive notebooks for Julia
process-analytics.dev - The source of the process-analytics.dev website
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
pm4py-core - Public repository for the PM4Py (Process Mining for Python) project.
here_here - I love the here package. Here's why.
bpmn-visualization-js - A TypeScript library for visualizing process execution data on BPMN diagrams
tinytex - A lightweight, cross-platform, portable, and easy-to-maintain LaTeX distribution based on TeX Live
ggstatsplot - Enhancing {ggplot2} plots with statistical analysis 📊📣
TikZ - Complete collection of my PGF/TikZ figures.
bpmn-visualization-pm4py - Example of integration between bpmn-visualization and pm4py
blogdown - Create Blogs and Websites with R Markdown
bpmn-visualization-R-poc - BPMN diagrams in R