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library(tidyverse)
smaller <- diamonds |>
filter(carat <= 2.5)
smaller |>
ggplot(aes(x = carat)) +
geom_bar(binwidth = 0.01)library(plotly)
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")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")subcars <- mtcars[1:5, 1:4]
knitr::kable(subcars,
col.names = c("Miles/Gallon", "Cylinders", "Eng Displacement", "Horsepower"),
row.names = F,
caption = "Car Data")| Miles/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 |
library(DT)
datatable(mpg)library(qrcode)
qr <- qr_code("https://rpubs.com/GrahamOwenby/1424261")
plot(qr)