Taller R Notbooks Academatica

Texto

Italicas y Negritas

• La palabra hola esta en negritas
  • Utilizamos **hola**
• La palabra mundo esta en italicas
  • Utilizamos *mundo*

Sub y Supra indices

• La formula quimica del agua es H₂O y la del carbonato de sodio ess Na₂CO₃
  • H~2~O = H₂O
  • Na~2~CO~3~= Na₂CO₃
• Tambien podemos escribir exponentes x²
  • x^2^ = x²
• Costo_{por_dia}

inline code

• x <- 3
• 12
• 5
• 12

links

• utilizamos la estructura [texto](link)
  • El mejor canal en youtube es academatica

imagenes

Para agregar imagenes usam ![caption](imagen)

Dilbert on data quality

Dilbert on data quality ¹

Para este taller usamos como referencia R Markdown: The definitive guide²

listas

listas no ordenadas

Podemos usar +, - o *

• item 1
  • item 1.1
  • item 1.2
• item 2
  • item 2.1

+ item 1
  + item 1.1
  + item 1.2
+ item 2
  + item 2.1

listas ordenadas

1. Item 1
   1. Item 1.1
   2. Item 1.2
2. Item 2
   • Item 2.1

Citas

" In God we trust, all others bring data."

— W Edwars Deming

“Keep away from people who try to belittle your ambitions. Small people always do that, but the really great make you feel that you, too, can become great.”

— Mark Twain

Chunk de codigo

SELECT *
FROM schema.table
WHERE product_id > 125
  AND process_date >= '2020-07-29'

Expresiones Matematicas

Esta integral \(\int_a^b e^x \, dx = e^b-e^a\) es sumamente dificil de realizar.

\[\int_a^b e^x \, dx = e^b-e^a\]

\[ X = \begin{bmatrix} 1 & x_1 \\ 1 & x_2 \\ 1 & x_3 \end{bmatrix} \]

\[\Theta = \begin{pmatrix}\alpha & \beta\\ \gamma & \delta \end{pmatrix}\]

Todas las ecuaciones se escriben usando Latex. Es de mucha utilidad este generador de latex.

Generador de Latex

plot(mtcars)

head(mtcars,10)

library(ggplot2)
library(dplyr)

diamonds %>% 
  ggplot(aes(x=carat,y=price,color=color))+
  geom_point()

sequencia <- sample(1:10)

sequencia

 [1]  3  5  4 10  2  9  6  1  8  7

Este es nuestro vector: 3, 5, 4, 10, 2, 9, 6, 1, 8, 7

Python

Usa la libreria reticulate

library(reticulate)
use_condaenv('r-reticulate')

Instalamos Pandas conda_install('r-reticulate','pandas')

py_intall('pandas')

   sepal_length  sepal_width  petal_length  petal_width species
0           5.1          3.5           1.4          0.2  setosa
1           4.9          3.0           1.4          0.2  setosa
2           4.7          3.2           1.3          0.2  setosa
3           4.6          3.1           1.5          0.2  setosa
4           5.0          3.6           1.4          0.2  setosa

py$iris_setosa %>% 
  ggplot(aes(x=sepal_width,y=sepal_length, color=species))+
  geom_point()

head(diamonds) -> sm_diamonds

   carat      cut color clarity  depth  table  price     x     y     z
0   0.23    Ideal     E     SI2   61.5   55.0    326  3.95  3.98  2.43
1   0.21  Premium     E     SI1   59.8   61.0    326  3.89  3.84  2.31
2   0.23     Good     E     VS1   56.9   65.0    327  4.05  4.07  2.31
3   0.29  Premium     I     VS2   62.4   58.0    334  4.20  4.23  2.63
4   0.31     Good     J     SI2   63.3   58.0    335  4.34  4.35  2.75

chunks de SQL

library(RMySQL)
dbcon <- dbConnect(MySQL(),
                   host = ,
                   user = ,
                   password = ,
                   dbname = 'datasets')

SELECT * 
FROM datasets.iris
WHERE sepal_length BETWEEN 1 AND 4
limit 10

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1. Imagen descarcaga de https://www.pinterest.com/pin/167688786102533739↩︎

2. https://bookdown.org/yihui/rmarkdown/↩︎