[英]Easiest way to format table for interactive tooltip for ggiraph
我在下面有這個基本示例。 正如您將看到的那樣,它是一個交互式 plot。我目前希望實現的是獲取dummy_data
並在您 hover 通過數據點時將其作為工具提示的格式化表格。 我將有不同的點集,但我只想讓這個示例適用於所有人,然后我可以更改數據。
正如您將在tooltip =
參數中看到的那樣,它需要包含在此處。 我只是不確定是否有一種簡單的方法來傳遞此表,因為它在其中打印了一些 css 以便輕松格式化。 我希望它看起來與打印到控制台的dummy_data
一樣好或更好。
我希望這已經足夠清楚了嗎? 如果我可以澄清,請告訴我。 請參閱下面的代表。
library(ggplot2)
library(ggiraph)
#> Warning: package 'ggiraph' was built under R version 4.1.2
dataset <- mtcars
dummy_data <-
data.frame(
stringsAsFactors = FALSE,
Feature = c("FeatureA","FeatureB",
"FeatureC","FeatureD","FeatureE","FeatureF","FeatureG",
"FeatureH","FeatureI","FeatureJ","FeatureK","FeatureL",
"FeatureM","FeatureN","FeatureO","FeatureP","FeatureQ",
"FeatureR","FeatureS","FeatureT","FeatureU"),
Rating = c(1L,1L,1L,1L,3L,3L,4L,1L,
4L,1L,4L,1L,1L,1L,1L,4L,1L,1L,2L,3L,2L)
)
dummy_data
#> Feature Rating
#> 1 FeatureA 1
#> 2 FeatureB 1
#> 3 FeatureC 1
#> 4 FeatureD 1
#> 5 FeatureE 3
#> 6 FeatureF 3
#> 7 FeatureG 4
#> 8 FeatureH 1
#> 9 FeatureI 4
#> 10 FeatureJ 1
#> 11 FeatureK 4
#> 12 FeatureL 1
#> 13 FeatureM 1
#> 14 FeatureN 1
#> 15 FeatureO 1
#> 16 FeatureP 4
#> 17 FeatureQ 1
#> 18 FeatureR 1
#> 19 FeatureS 2
#> 20 FeatureT 3
#> 21 FeatureU 2
dataset$carname <- row.names(dataset)
dataset$tooltip <- paste(dummy_data)
gg_scatter <- ggplot(dataset,
aes(x = disp, y = qsec, tooltip =
paste0(
"<div class='header' checked>
<p>Ready to take ",tooltip,"? If so</p>
<a href='shiny.rstudio.com/tutorial'>Click Here!</a>
</div>"),
data_id = carname, color= wt) ) +
geom_point_interactive(size=3) +
labs(title = "mouse over points") +
theme_minimal() + theme(
plot.background = element_blank(),
panel.background = element_blank()
)
girafe(ggobj = gg_scatter,
options = list(
opts_sizing(rescale = TRUE, width = .7) )
)
由reprex package (v2.0.0) 創建於 2022-04-27
您可以將 HTML 代碼傳遞給工具提示,因此一種方法是使用knitr::kable
創建表格的 HTML 版本,獲取 HTML 表格代碼並將其添加到您的 dataframe,然后用作工具提示。
library(ggplot2)
library(ggiraph)
dataset <- mtcars
# add tooltip, using only first 10 rows to avoid showing too much text
dataset$tooltip <- knitr::kable(dummy_data[1:10, ], format = "html")
gg_scatter <- ggplot(dataset,
aes(x = disp, y = qsec,
tooltip = tooltip, color= wt) ) +
geom_point_interactive(size=3)
girafe(ggobj = gg_scatter)
要對工具提示表進行更多自定義,而不是knitr::kable
,您可以使用其他一些 package 來創建更多自定義的 HTML 表。
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