cheatsheets
voila
cheatsheets | voila | |
---|---|---|
60 | 23 | |
5,618 | 5,238 | |
1.0% | 1.5% | |
7.6 | 7.9 | |
14 days ago | 2 days ago | |
TeX | Python | |
Creative Commons Attribution 4.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
cheatsheets
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Tools a Data Scientist should know:
If you're an R user, stringr + its cheatsheet gets you very close to remembering what to do without needing to look further!
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JSON to PDF Magic: Harnessing LaTeX and JSON for Effortless Customization and Dynamic PDF Generation
For more information on how to use ggplot2 and create charts consult the ggplot2 official page or the ggplot2 cheat graphic.
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Best packages to learn?
I'd suggest you have a look at cheatsheets (or download them from GitHub) if you want to get to know your way around a package or set if functions, it saves you a lot of time.
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How do I make these shapes (pictured below) in ggplot?
You could use geom_hline and geom_vline, geom_abline, or geom_segment for this. (The ggplot cheat sheet is very useful for answering these kinds of questions, BTW.)
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Why does my scatter plot look like this?
I can't say for sure because I don't know what your ultimate aim is for your visualization. Check out the cheat sheet for ggplot2 here.
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Import from Excel
Finally just do your analysis. You should also should give a try and see the cheat sheet for data importing on the tidyverse package.
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[Request] How to best visualize percentages with R?
That said, when I’m trying to come up with an interesting way to visualize data, I find the ggplot cheat sheet very helpful: https://github.com/rstudio/cheatsheets/raw/main/data-visualization-2.1.pdf
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Need help with variables
Here's a cheat sheet: https://github.com/rstudio/cheatsheets/blob/main/strings.pdf
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Data manipulation in R
The cheat sheet of the stringr package should give you good overview of string manipulation/ regex in R.
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I'm trying to recreate this plot but I keep failing
I would very highly recommend that rather than trying to get started by translating an existing graph, you check out some documentation about ggplot first. If nothing else, the ggplot cheat sheet from RStudio should help explain what the component parts of the code are, and that might help you figure out what you actually want to do.
voila
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voila VS solara - a user suggested alternative
2 projects | 13 Oct 2023
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Show HN: Mercury – convert Jupyter Notebooks to Web Apps without code rewriting
Quick link: https://github.com/voila-dashboards/voila
Humbly recommend when you share a product, you include a link to it ;)
https://voila.readthedocs.io/en/stable/
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Evidence – Business Intelligence as Code
> Works with CI/CD out of the box. Deploy to vercel, netlify, your own infra.
Jupyter is suited for whatever you want to do with it. Voila exists to enable the use case of re-generating notebooks on a CI/CD system: https://github.com/voila-dashboards/voila
Anyways, seems like the templating is more powerful than the one being offered by Jupyter Notebooks.
Good luck and much success with it :)
- Ask HN: Fastest way to turn a Jupyter notebook into a website these days?
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Warning, Streamlit collects a lot of data!
i don't understand why everyone isn't just using voila. it's so much better than streamlit or gradio. but that's just my opinion i guess.
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Mercury – Turn Python Notebooks to Web Apps
Ill have to check it out and see how it compares to voilà and holoviz panel. What I like about Holoviz panel is you can create a data web app from code that resides in a notebook or create a completely standalone app from just plain py scripts, and it supports many different visualization backends. I have found it to be the more flexible and generalizable data web app framework among the others I have come across (like Voilà, Dash, Plotly, and Streamlit).
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Turn Jupyter Notebook to Web App with open-source Mercury framework and Python only
Any insights what the differences between this and Voila are? https://github.com/voila-dashboards/voila
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New library to develop streamlit apps in jupyter
A nifty little alternative to voila, one might say.
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How do you guys share R/Python based analyses to business stakeholders?
Markdown and/or Voilà https://github.com/voila-dashboards/voila
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Looking for web app generator from JSON data
If you are comfortable working in a Jupyter Notebook you can combine ipywidgets & Voila.
What are some alternatives?
tidytuesday - Official repo for the #tidytuesday project
mercury - Convert Jupyter Notebooks to Web Apps
forcats - 🐈🐈🐈🐈: tools for working with categorical variables (factors)
streamlit - Streamlit — A faster way to build and share data apps.
mostly-adequate-guide - Mostly adequate guide to FP (in javascript)
papermill - 📚 Parameterize, execute, and analyze notebooks
ggplot2-book - ggplot2: elegant graphics for data analysis
PyMe - PyMe is a tool software to develop the Python User Interface for Python programmer.
mech - 🦾 Main repository for the Mech programming language. Start here!
ipyflex - A WYSIWYG layout editor for Jupyter widgets
ggplot2 - An implementation of the Grammar of Graphics in R
Solara - A Pure Python, React-style Framework for Scaling Your Jupyter and Web Apps