index.qmd

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  An open source technical publishing system for creating beautiful articles, websites, blogs, books, slides, and more. Supports Python, R, Julia, and JavaScript.
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# Welcome to Quarto^[®]{.trademark}^ {.mt-1}

### An open-source scientific and technical publishing system

- Author using [Jupyter](https://jupyter.org) notebooks or with plain text markdown in your favorite editor.
- Create dynamic content with [Python](/docs/computations/python.qmd), [R](/docs/computations/r.qmd), [Julia](/docs/computations/julia.qmd), and [Observable](/docs/computations/ojs.qmd).
- Publish reproducible, production quality articles, presentations, dashboards, websites, blogs, and books in HTML, PDF, MS Word, ePub, and more.
- Share knowledge and insights organization-wide by publishing to [Posit Connect](/docs/publishing/rstudio-connect.qmd), [Confluence](/docs/publishing/confluence.qmd), or other publishing systems. 
- Write using [Pandoc](https://pandoc.org) markdown, including equations, citations, crossrefs, figure panels, callouts, advanced layout, and more.

### Analyze. Share. Reproduce. You have a story to tell with data---tell it with Quarto.

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[Get Started](/docs/get-started/index.qmd){.btn-action-primary .btn-action .btn .btn-success .btn-lg role="button"}
[Guide](/docs/guide/){#btn-guide .btn-action .btn .btn-info .btn-lg role="button"}
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# Hello, Quarto 
<ul class="nav nav-pills" id="hello-quarto-tab" role="tablist">
  <li class="nav-item" role="presentation">
    <button class="nav-link active" id="python-tab" data-bs-toggle="tab" data-bs-target="#python" type="button" role="tab" aria-controls="python" aria-selected="true">Python</button>
  </li>
  <li class="nav-item" role="presentation">
    <button class="nav-link" id="knitr-tab" data-bs-toggle="tab" data-bs-target="#knitr" type="button" role="tab" aria-controls="knitr" aria-selected="false">R</button>
  </li>
  <li class="nav-item" role="presentation">
    <button class="nav-link" id="julia-tab" data-bs-toggle="tab" data-bs-target="#julia" type="button" role="tab" aria-controls="julia" aria-selected="false">Julia</button>
  </li>
  <li class="nav-item" role="presentation">
    <button class="nav-link" id="observable-tab" data-bs-toggle="tab" data-bs-target="#observable" type="button" role="tab" aria-controls="observable" aria-selected="false">Observable</button>
  </li>
</ul>
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<div class="tab-content" id="hello-quarto-tabcontent">

<div class="tab-pane fade  show active" id="python" role="tabpanel" aria-labelledby="python-tab">

Combine Jupyter notebooks with flexible options to produce production quality output in a wide variety of formats. Author using traditional notebook UIs or with a plain text markdown representation of notebooks.

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![](images/demo-jupyter-plain.png){.hello-output fig-alt="Example Jupyter notebook entitled Palmer Penguins with code cells, text, and a scatterplot."}
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![](images/demo-jupyter-output.png){fig-alt="Output of example Jupyter notebook, Palmer Penguins, in HTML showing title, metadata, text, code, and scatterplot. At the top there is a dropdown option to show or hide the code."}
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</div>

<div class="tab-pane fade" id="knitr" role="tabpanel" aria-labelledby="knitr-tab">

Quarto is a multi-language, next generation version of R Markdown from Posit, with many new features and capabilities. Like R Markdown, Quarto uses [knitr](https://yihui.org/knitr/) to execute R code, and is therefore able to render most existing Rmd files without modification.

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````markdown
---
title: "ggplot2 demo"
author: "Norah Jones"
date: "5/22/2021"
format: 
  html:
    fig-width: 8
    fig-height: 4
    code-fold: true
---

## Air Quality

@fig-airquality further explores the impact of temperature on ozone level.

```{{r}}
#| label: fig-airquality
#| fig-cap: "Temperature and ozone level."
#| warning: false

library(ggplot2)
ggplot(airquality, aes(Temp, Ozone)) + 
  geom_point() + 
  geom_smooth(method = "loess")
```


````
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![](images/hello-knitr.png){.hello-output fig-alt="Example output with title (ggplot2 demo), author (Norah Jones), and date (5/22/2021). Below is a header reading Air Quality followed by body text (Figure 1 further explores the impact of temperature on ozone level.) with a toggleable code field, and figure with caption Figure 1 Temperature and ozone level."}
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</div>

<div class="tab-pane fade" id="julia" role="tabpanel" aria-labelledby="julia-tab">

Combine markdown and Julia code to create dynamic documents that are fully reproducible. Quarto executes Julia code via the [IJulia](https://github.com/JuliaLang/IJulia.jl) Jupyter kernel, enabling you to author in plain text (as shown below) or render existing Jupyter notebooks.

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````markdown
---
title: "Plots Demo"
author: "Norah Jones"
date: "5/22/2021"
format:
  html:
    code-fold: true
jupyter: julia-1.8
---

## Parametric Plots

Plot function pair (x(u), y(u)). 
See @fig-parametric for an example.

```{{julia}}
#| label: fig-parametric
#| fig-cap: "Parametric Plots"

using Plots

plot(sin, 
     x->sin(2x), 
     0, 
     2π, 
     leg=false, 
     fill=(0,:lavender))
```


````
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![](images/hello-julia.png){.hello-output fig-alt="Example Plots Demo output with title, author, date published and main section on Parametric plots which contains text, a toggleable code field, and the output of the plot, with the caption Figure 1 Parametric Plots."}
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</div>

<div class="tab-pane fade" id="observable" role="tabpanel" aria-labelledby="observable-tab">

Quarto includes native support for Observable JS, a set of JavaScript enhancements created by Mike Bostock (the author of D3). Observable JS uses a reactive execution model, and is especially well suited for interactive data exploration and analysis.



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````markdown
---
title: "observable plot"
author: "Norah Jones"
format: 
  html: 
    code-fold: true
---

## Seattle Precipitation by Day (2012 to 2016)

```{{ojs}}
data = FileAttachment("seattle-weather.csv")
  .csv({typed: true})
  
Plot.plot({
  width: 800, height: 500, padding: 0,
  color: { scheme: "blues", type: "sqrt"},
  y: { tickFormat: i => "JFMAMJJASOND"[i] },
  marks: [
    Plot.cell(data, Plot.group({fill: "mean"}, {
      x: d => new Date(d.date).getDate(),
      y: d => new Date(d.date).getMonth(),
      fill: "precipitation", 
      inset: 0.5
    }))
  ]
})
```
````
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![](images/hello-observable.png){style="background-color: white; border: 1px solid #dee2e6; height: 625px;" fig-alt="Example output with title, author, and date. Below, the main section reads Seattle Precipitation by Day (2012 to 2016) with a toggleable section to show code and a heatmap of the precipitation by day."}
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### Dynamic Documents
Generate dynamic output using Python, R, Julia, and Observable. Create reproducible documents that can be regenerated when underlying assumptions or data change.

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[Learn more »](/docs/computations/python.qmd)
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### Beautiful Publications
Publish high-quality articles, reports, presentations, websites, and books in HTML, PDF, MS Word, ePub, and more. Use a single source document to target multiple formats.

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[Learn more »](/docs/output-formats/all-formats.qmd)
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### Scientific Markdown
Pandoc markdown has excellent support for LaTeX equations and citations. Quarto adds extensions for cross-references, figure panels, callouts, advanced page layout, and more.

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[Learn more »](/docs/authoring/markdown-basics.qmd)
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### Authoring Tools
Use your favorite tools including VS Code, RStudio, Jupyter Lab, or any text editor. Use the Quarto visual markdown editor for long-form documents.

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[Learn more »](/docs/tools/jupyter-lab.qmd)
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### Interactivity
Engage readers by adding interactive data exploration to your documents using Jupyter Widgets, htmlwidgets for R, Observable JS, and Shiny.

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[Learn more »](/docs/interactive/)
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### Websites and Books
Publish collections of documents as a blog or full website. Create books and manuscripts in both print formats (PDF and MS Word) and online formats (HTML and ePub).

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[Learn more »](/docs/websites/)
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[Get Started](/docs/get-started/index.qmd){.btn-action-primary  .btn-action .btn .btn-success .btn-lg role="button" style="margin-top: 1em;"}

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