R | ECharts | use ec.clmn in endLabel formatter and in pictorialBar symbol

endLabel.R

library(echarty); library(dplyr)
# set first column as X and second as Y to avoid explicitly define them later
mydf <- data.frame(
	Date = c("2021-08-02", "2021-08-03", "2021-08-04", "2021-08-05", "2021-08-06", "2021-08-09", "2021-08-10", "2021-08-11", "2021-08-02", "2021-08-03", "2021-08-04", "2021-08-05", "2021-08-06", "2021-08-09", "2021-08-10", "2021-08-11", "2021-08-02", "2021-08-03", "2021-08-04", "2021-08-05", "2021-08-06", "2021-08-09", "2021-08-10", "2021-08-11", "2021-08-02", "2021-08-03", "2021-08-04", "2021-08-05", "2021-08-06", "2021-08-09", "2021-08-10", "2021-08-11"), 
	CasesPer100K = c(397, 575, 579, 591, 617, 733, 654, 690, 54, 79, 83, 88, 92, 76, 104, 107, 84, 89, 95, 101, 106, 123, 125, 133, 151, 249, 287, 249, 259, 245, 371, 378), 
	State = c("Florida", "Florida", "Florida", "Florida", "Florida", "Florida", "Florida", "Florida", "Massachusetts", "Massachusetts", "Massachusetts", "Massachusetts", "Massachusetts", "Massachusetts", "Massachusetts", "Massachusetts", "New York", "New York", "New York", "New York", "New York", "New York", "New York", "New York", "South Carolina", "South Carolina", "South Carolina", "South Carolina", "South Carolina", "South Carolina", "South Carolina", "South Carolina"), 
	stringsAsFactors = FALSE)

p <- mydf |> group_by(State) |> ec.init(ctype= 'line')
p$x$opts$series <- lapply(p$x$opts$series, function(ss) {
	ss$endLabel <- list(show= TRUE, formatter= ec.clmn(3)); ss })
p$x$opts$tooltip <- list(show= TRUE)
p

idea and data by @smach

pictorialBar in timeline, inquiry by @rdatasculptor

df <- data.frame(x= c("a", "a"), score= c(10, 5), group= c(1, 2), sym= c("pin", "triangle"))

library(echarty)    # v.1.4.5.9001 and up
p <- df |> group_by(group) |> ec.init(
	tl.series= list(
		type= 'pictorialBar',
		encode= list(x= 'x', y= 'score'),
		symbol= ec.clmn(4),   # 4th column is symbol type
                symbolSize= 34, symbolRepeat=9)
)
p

@helgasoft this is very cool! Thank you for digging into this.