Quarto demo

Quarto

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

We can do italics, bulleted lists

• first

• second

and many other things.

My logo

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:

library(tidyverse)
library(knitr)

Include a plot

ggplot(diamonds, aes(x=cut))+
  geom_bar()

Figure 1: A bar chart of diamond cuts

Using LaTex

We can put formulas inline like this: \(\alpha\) We indent like this

\[ \pi \in \mathbb{R}\]

This is a reference: Figure 1.

Google for more info and specific symbols

You can add options to executable code like this

[1] 4

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

Using python

x, y = 4, 7
mtcars_py = r.mtcars
print(mtcars_py)

{'mpg': [21.0, 21.0, 22.8, 21.4, 18.7, 18.1, 14.3, 24.4, 22.8, 19.2, 17.8, 16.4, 17.3, 15.2, 10.4, 10.4, 14.7, 32.4, 30.4, 33.9, 21.5, 15.5, 15.2, 13.3, 19.2, 27.3, 26.0, 30.4, 15.8, 19.7, 15.0, 21.4], 'cyl': [6.0, 6.0, 4.0, 6.0, 8.0, 6.0, 8.0, 4.0, 4.0, 6.0, 6.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 4.0, 4.0, 4.0, 4.0, 8.0, 8.0, 8.0, 8.0, 4.0, 4.0, 4.0, 8.0, 6.0, 8.0, 4.0], 'disp': [160.0, 160.0, 108.0, 258.0, 360.0, 225.0, 360.0, 146.7, 140.8, 167.6, 167.6, 275.8, 275.8, 275.8, 472.0, 460.0, 440.0, 78.7, 75.7, 71.1, 120.1, 318.0, 304.0, 350.0, 400.0, 79.0, 120.3, 95.1, 351.0, 145.0, 301.0, 121.0], 'hp': [110.0, 110.0, 93.0, 110.0, 175.0, 105.0, 245.0, 62.0, 95.0, 123.0, 123.0, 180.0, 180.0, 180.0, 205.0, 215.0, 230.0, 66.0, 52.0, 65.0, 97.0, 150.0, 150.0, 245.0, 175.0, 66.0, 91.0, 113.0, 264.0, 175.0, 335.0, 109.0], 'drat': [3.9, 3.9, 3.85, 3.08, 3.15, 2.76, 3.21, 3.69, 3.92, 3.92, 3.92, 3.07, 3.07, 3.07, 2.93, 3.0, 3.23, 4.08, 4.93, 4.22, 3.7, 2.76, 3.15, 3.73, 3.08, 4.08, 4.43, 3.77, 4.22, 3.62, 3.54, 4.11], 'wt': [2.62, 2.875, 2.32, 3.215, 3.44, 3.46, 3.57, 3.19, 3.15, 3.44, 3.44, 4.07, 3.73, 3.78, 5.25, 5.424, 5.345, 2.2, 1.615, 1.835, 2.465, 3.52, 3.435, 3.84, 3.845, 1.935, 2.14, 1.513, 3.17, 2.77, 3.57, 2.78], 'qsec': [16.46, 17.02, 18.61, 19.44, 17.02, 20.22, 15.84, 20.0, 22.9, 18.3, 18.9, 17.4, 17.6, 18.0, 17.98, 17.82, 17.42, 19.47, 18.52, 19.9, 20.01, 16.87, 17.3, 15.41, 17.05, 18.9, 16.7, 16.9, 14.5, 15.5, 14.6, 18.6], 'vs': [0.0, 0.0, 1.0, 1.0, 0.0, 1.0, 0.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0], 'am': [1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], 'gear': [4.0, 4.0, 4.0, 3.0, 3.0, 3.0, 3.0, 4.0, 4.0, 4.0, 4.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 4.0, 4.0, 4.0, 3.0, 3.0, 3.0, 3.0, 3.0, 4.0, 5.0, 5.0, 5.0, 5.0, 5.0, 4.0], 'carb': [4.0, 4.0, 1.0, 1.0, 2.0, 1.0, 4.0, 2.0, 2.0, 4.0, 4.0, 3.0, 3.0, 3.0, 4.0, 4.0, 4.0, 1.0, 2.0, 1.0, 1.0, 2.0, 2.0, 4.0, 2.0, 1.0, 2.0, 2.0, 4.0, 6.0, 8.0, 2.0]}

library(reticulate)
library(gt)
mtcars_new <- py$mtcars_py
head(mtcars_new)

$mpg
 [1] 21.0 21.0 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 17.8 16.4 17.3 15.2 10.4
[16] 10.4 14.7 32.4 30.4 33.9 21.5 15.5 15.2 13.3 19.2 27.3 26.0 30.4 15.8 19.7
[31] 15.0 21.4

$cyl
 [1] 6 6 4 6 8 6 8 4 4 6 6 8 8 8 8 8 8 4 4 4 4 8 8 8 8 4 4 4 8 6 8 4

$disp
 [1] 160.0 160.0 108.0 258.0 360.0 225.0 360.0 146.7 140.8 167.6 167.6 275.8
[13] 275.8 275.8 472.0 460.0 440.0  78.7  75.7  71.1 120.1 318.0 304.0 350.0
[25] 400.0  79.0 120.3  95.1 351.0 145.0 301.0 121.0

$hp
 [1] 110 110  93 110 175 105 245  62  95 123 123 180 180 180 205 215 230  66  52
[20]  65  97 150 150 245 175  66  91 113 264 175 335 109

$drat
 [1] 3.90 3.90 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 3.92 3.07 3.07 3.07 2.93
[16] 3.00 3.23 4.08 4.93 4.22 3.70 2.76 3.15 3.73 3.08 4.08 4.43 3.77 4.22 3.62
[31] 3.54 4.11

$wt
 [1] 2.620 2.875 2.320 3.215 3.440 3.460 3.570 3.190 3.150 3.440 3.440 4.070
[13] 3.730 3.780 5.250 5.424 5.345 2.200 1.615 1.835 2.465 3.520 3.435 3.840
[25] 3.845 1.935 2.140 1.513 3.170 2.770 3.570 2.780