The problem can be seen in any multiple variable plot of dygraph when the colors are close to each other, and especially if you are like me who is not very good in identifying small differences in colours (my wife can do a much better job than me).
The best way is to see the picture of a dygraph and the mouse pointed on any one line.
As you can see the colours of variable z and short are very close to green.
Is there a way to highlight (with say a rectangle) around the pointed series on the legend as well. I know we can use dyHighlight() to highlight the data series.
If someone wants to replicate the dygraph here is the data and code.
Here is a data.frame (of just 10 rows) in dput format.
structure(list(ts = structure(c(1636488540L, 1636488600L, 1636488660L,
1636488720L, 1636488780L, 1636488840L, 1636488900L, 1636488960L,
1636489020L, 1636489080L, 1636489140L), class = c("POSIXct",
"POSIXt"), tzone = ""), x = c(-1.47069335096148, -3.36409786063375,
-3.47740281050692, -0.255068206704506, 5.22759893683639, -10.3043374092728,
-5.2344716901776, -9.78183898579815, -3.22880795465383, 10.605420513646,
-3.89232017758796), y = c(-43.384448866304, -46.7485467269378,
-50.2259495374447, -50.4810177441492, -45.2534188073128, -55.5577562165856,
-60.7922279067632, -70.5740668925614, -73.8028748472152, -63.1974543335692,
-67.0897745111571), z = c(-137.821501091824, -132.046751108584,
-140.358945130686, -147.455514008532, -145.960386088907, -151.292192768048,
-161.603402930662, -186.92405101591, -205.16916964654, -207.574396073346,
-204.090103691941), fuel = c(852.178498908176, 857.953248891416,
849.641054869314, 842.544485991468, 844.039613911093, 838.707807231952,
828.396597069338, 803.07594898409, 784.83083035346, 782.425603926654,
785.909896308058), delta = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0),
short = c(-8.8926709311977, 6.5109558655754, 5.24159847904127,
-3.34476928169295, -8.13888499708287, -19.2454416594633,
-21.2444577999751, -39.4685370073786, -59.2087835576331,
-56.2822033052981, -42.48670076128), long = c(-178.435062392844,
-179.31344224667, -187.306132052743, -185.62097109537, -176.874913772529,
-172.952666784266, -167.386770377762, -184.70364909417, -196.140010827552,
-194.056786969029, -182.415749904105)), row.names = c(NA,
-11L), class = "data.frame")
Run the code
library(data.table)
library(magrittr)
library(dygraphs)
# assign the above data to an R object say dputvar - note it is just 10 rows.
# you will not see the same rich chart as in the picture but the problem can be replicated in these 10 lines also
as.data.table(dputvar) %>%
dygraph() %>%
dySeries(name = "fuel",strokeWidth = 3) %>%
dyHighlight()


