This is small example of my data set.This set contain weekly data about 52 weeks.You can see data with code below:
# CODE
#Data
ARTIFICIALDATA<-dput(structure(list(week = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12,
13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28,
29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44,
45, 46, 47, 48, 49, 50, 51, 52), `2019 Series_1` = c(534.771929824561,
350.385964912281, 644.736842105263, 366.561403508772, 455.649122807018,
533.614035087719, 829.964912280702, 466.035087719298, 304.421052631579,
549.473684210526, 649.719298245614, 537.964912280702, 484.982456140351,
785.929824561404, 576.736842105263, 685.508771929824, 514.842105263158,
464.491228070175, 608.245614035088, 756.701754385965, 431.859649122807,
524.315789473684, 739.40350877193, 604.736842105263, 669.684210526316,
570.491228070175, 641.649122807018, 649.298245614035, 664.210526315789,
530.385964912281, 754.315789473684, 646.80701754386, 764.070175438596,
421.333333333333, 470.842105263158, 774.245614035088, 752.842105263158,
575.368421052632, 538.315789473684, 735.578947368421, 522, 862.561403508772,
496.526315789474, 710.631578947368, 584.456140350877, 843.19298245614,
563.473684210526, 568.456140350877, 625.368421052632, 768.912280701754,
679.824561403509, 642.526315789474), `2020 Series_1` = c(294.350877192983,
239.824561403509, 709.614035087719, 569.824561403509, 489.438596491228,
561.964912280702, 808.456140350877, 545.157894736842, 589.649122807018,
500.877192982456, 584.421052631579, 524.771929824561, 367.438596491228,
275.228070175439, 166.736842105263, 58.2456140350878, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA)), row.names = c(NA, -52L), class = c("tbl_df", "tbl",
"data.frame")))
# CODE WITH PLOTLY
library(tidyverse)
library(plotly)
colnames(ARTIFICIALDATA) <- c('week', 'series1', 'series2')
fig <- plot_ly(ARTIFICIALDATA, x = ~week, y = ~series2, name = "2019", type = 'scatter', mode = 'lines')
fig <- fig %>% add_trace(y = ~series1, name = "2020")
fig
So next steep is plot this data with plotly. So you can see how my plot look like below:
But my intention is to make plot like plot below with dashed line (size=1 linetype=2).So can anybody help me how to modify this ?