This is an R Markdown Notebook. When you execute code within the notebook, the results appear beneath the code.
Try executing this chunk by clicking the Run button within the chunk or by placing your cursor inside it and pressing Cmd+Shift+Enter.
plot(cars)
Add a new chunk by clicking the Insert Chunk button on the toolbar or by pressing Cmd+Option+I.
When you save the notebook, an HTML file containing the code and output will be saved alongside it (click the Preview button or press Cmd+Shift+K to preview the HTML file).
The preview shows you a rendered HTML copy of the contents of the editor. Consequently, unlike Knit, Preview does not run any R code chunks. Instead, the output of the chunk when it was last run in the editor is displayed.
this file are the notes I take about the commands I use to do things
create vector
md : tabla de datos iniciales x : df ventas x cliente inicial
[37] “SKU_IMPLICITO” “INCIDENCIA_BASIS” “FACTOR_CONSUMO_BASIS” “ID_GRUPO_MARCA_2”
[41] “NORMALIZADO” “COD_TIPO_EMPAQUE” “DESC_TIPO_EMPAQUE” “DESC_TIPO_EMPAQUE_CORTO”
temp_F <- 7
fahrenheitToCelsius <- function(temp_F)
{
temp_C <- (temp_F - 32) * 5 / 9
return(temp_C)
}
fahrenheitToCelsius(23)
[1] -5
Areatriangle <- function(b, h) {
Area <- b*h
return(Area)
}
Areatriangle(4,6)
[1] 24
plot(cars)
You have 657 colors to choose from being [1] the first one or white.
or we can choo
a <- 21
barplot(temp, col=colors()[a], main="With coloring")

or we can choose We define a color as a 6 hexadecimal digit number of the form #RRGGBB. Where the RR is for red, GG for green and BB for blue and value ranges from 00 to FF.
For example, #FF0000 would be red and #00FF00 would be green similarly, #FFFFFF would be white and #000000 would be black.
barplot(temp, col="#c00000", main="#c00000")

barplot(temp, col="#AA4371", main="#AA4371")

plot(cars)
plot(cars)
plot(cars)
plot(cars)
plot(cars)
plot(cars)
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