Tables in R
How to make tables in R with Plotly.
New to Plotly?
Plotly is a free and open-source graphing library for R. We recommend you read our Getting Started guide for the latest installation or upgrade instructions, then move on to our Plotly Fundamentals tutorials or dive straight in to some Basic Charts tutorials.
Basic Table
library(plotly)
fig <- plot_ly(
type = 'table',
columnwidth = c(100, 100),
columnorder = c(0, 1),
header = list(
values = c("Cut","Price"),
align = c("center", "center"),
line = list(width = 1, color = 'black'),
fill = list(color = c("grey", "grey")),
font = list(family = "Arial", size = 14, color = "white")
),
cells = list(
values = rbind(diamonds$cut, diamonds$price),
align = c("center", "center"),
line = list(color = "black", width = 1),
font = list(family = "Arial", size = 12, color = c("black"))
))
fig
Styled Table
library(plotly)
fig <- plot_ly(
type = 'table',
header = list(
values = c('<b>EXPENSES</b>', '<b>Q1</b>','<b>Q2</b>','<b>Q3</b>','<b>Q4</b>'),
line = list(color = '#506784'),
fill = list(color = '#119DFF'),
align = c('left','center'),
font = list(color = 'white', size = 12)
),
cells = list(
values = rbind(
c('Salaries', 'Office', 'Merchandise', 'Legal', '<b>TOTAL</b>'),
c(1200000, 20000, 80000, 2000, 1212000),
c(1300000, 20000, 70000, 2000, 1392000),
c(1300000, 20000, 120000, 2000, 1442000),
c(1400000, 20000, 90000, 2000, 1412000)),
line = list(color = '#506784'),
fill = list(color = c('#25FEFD', 'white')),
align = c('left', 'center'),
font = list(color = c('#506784'), size = 12)
))
fig
Table From a Dataframe
library(plotly)
fig <- plot_ly(
type = 'table',
header = list(
values = c("<b>Cars</b>", names(mtcars)),
align = c('left', rep('center', ncol(mtcars))),
line = list(width = 1, color = 'black'),
fill = list(color = 'rgb(235, 100, 230)'),
font = list(family = "Arial", size = 14, color = "white")
),
cells = list(
values = rbind(
rownames(mtcars),
t(as.matrix(unname(mtcars)))
),
align = c('left', rep('center', ncol(mtcars))),
line = list(color = "black", width = 1),
fill = list(color = c('rgb(235, 193, 238)', 'rgba(228, 222, 249, 0.65)')),
font = list(family = "Arial", size = 12, color = c("black"))
))
fig
Changing Size of Rows and Columns
values <- rbind(c('Salaries', 'Office', 'Merchandise', 'Legal', '<b>TOTAL<br>EXPENSES</b>'), c("Lorem ipsum dolor sit amet, tollit discere inermis pri ut. Eos ea iusto timeam, an prima laboramus vim. Id usu aeterno adversarium, summo mollis timeam vel ad",
"Lorem ipsum dolor sit amet, tollit discere inermis pri ut. Eos ea iusto timeam, an prima laboramus vim. Id usu aeterno adversarium, summo mollis timeam vel ad",
"Lorem ipsum dolor sit amet, tollit discere inermis pri ut. Eos ea iusto timeam, an prima laboramus vim. Id usu aeterno adversarium, summo mollis timeam vel ad",
"Lorem ipsum dolor sit amet, tollit discere inermis pri ut. Eos ea iusto timeam, an prima laboramus vim. Id usu aeterno adversarium, summo mollis timeam vel ad",
"Lorem ipsum dolor sit amet, tollit discere inermis pri ut. Eos ea iusto timeam, an prima laboramus vim. Id usu aeterno adversarium, summo mollis timeam vel ad"))
fig <- plot_ly(
type = 'table',
columnorder = c(1,2),
columnwidth = c(80,400),
header = list(
values = c('<b>EXPENSES</b><br>as of July 2017', '<b>DESCRIPTION</b>'),
line = list(color = '#506784'),
fill = list(color = '#119DFF'),
align = c('left','center'),
font = list(color = 'white', size = 12),
height = 40
),
cells = list(
values = values,
line = list(color = '#506784'),
fill = list(color = c('#25FEFD', 'white')),
align = c('left', 'center'),
font = list(color = c('#506784'), size = 12),
height = 30
))
fig
Reference
See https://plotly.com/r/reference/#table for more information and chart attribute options!
What About Dash?
Dash for R is an open-source framework for building analytical applications, with no Javascript required, and it is tightly integrated with the Plotly graphing library.
Learn about how to install Dash for R at https://dashr.plot.ly/installation.
Everywhere in this page that you see fig
, you can display the same figure in a Dash for R application by passing it to the figure
argument of the Graph
component from the built-in dashCoreComponents
package like this:
library(plotly)
fig <- plot_ly()
# fig <- fig %>% add_trace( ... )
# fig <- fig %>% layout( ... )
library(dash)
library(dashCoreComponents)
library(dashHtmlComponents)
app <- Dash$new()
app$layout(
htmlDiv(
list(
dccGraph(figure=fig)
)
)
)
app$run_server(debug=TRUE, dev_tools_hot_reload=FALSE)