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Quarto

Here is some boilerplate for using Quarto with Python

---
title: "My analysis"
jupyter: python3
format: gfm
execute:
  echo: false
---

Here is a plot:

```{python}
import plotly.io as pio
import plotly.express as px

pio.renderers.default = "png"

fig = px.bar(x=["a", "b", "c"], y=[1, 3, 2])
fig.show()
```

Save the file as my_analysis.qmd. Here are some useful commands:

# live preview
quarto preview my_analysis.qmd

# render to a markdown file
quarto render my_analysis.qmd

Here is some boilerplate for using Quarto with R

---
title: "ggplot2 demo"
author: "Norah Jones"
date: "5/22/2021"
format: gfm
execute:
  echo: false
---

## 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")
```