Quarto Basics

Author

Rohan Bhuin

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Bullet List

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  • Item 2

  • Item 3

Numeric List

  1. Item 1

  2. Item 2

  3. Item 3

Quarto

Quarto enables you to weave together content and executable code into a finished document. To learn more about Quarto see https://quarto.org.

Running Code

When you click the Render button a document will be generated that includes both content and the output of embedded code. You can embed code like this:

1 + 1
[1] 2

You can add options to executable code like this

[1] 4

The echo: false option disables the printing of code (only output is displayed).

library(tidyverse)

smaller <- diamonds |>
  filter(carat <= 2.5)

smaller |>
  ggplot(aes(x=carat)) +
  geom_bar(binwidth=0.001)

Figure

Interactive Plots

library(plotly)
library(ggplot2)

data("economics")

plot_ly(
  data = economics,
  x = ~date,
  y = ~unemploy,
  type = "scatter",
  mode = "lines"
) |>
  layout(
    xaxis = list(title="Date"),
    yaxis = list(title="Number of Unemployed")
  )
plot_ly(
  data = economics,
  x = ~unemploy,
  type = "histogram"
)

Interactive Maps

# install.packages('leaflet')
library(leaflet)

leaflet() |>
  addTiles() |>
  addMarkers(
    lng = -84.39,
    lat = 33.75,
    popup = "Atlanta"
  )
leaflet() |>
  addTiles() |>
  addMarkers(
    lng = -84.5184,
    lat = 33.9384,
    popup = "KSU Marietta"
  )

Tables

subcars <- mtcars[1:5, 1:4]

knitr::kable(subcars,
            col.names = c("Mile/Gallon", "#Cylinders",
                          "Eng Displacement", "Horsepower"),
            row.names = F,
            caption = "Car Data"
            )
Car Data
Mile/Gallon #Cylinders Eng Displacement Horsepower
21.0 6 160 110
21.0 6 160 110
22.8 4 108 93
21.4 6 258 110
18.7 8 360 175

Interactive Tables

# install.packages('DT')

library(DT)
datatable(mpg)