Plot graph with PLOTLY - r

Question

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)
library(reshape2)
library(ggplot2)
library(dplyr)
ARTIFICIALDATA_rec <- ARTIFICIALDATA %>%
gather(key = Year_indicator, value = time_series_value, -1)
ARTIFICIALDATA_rec$color <- factor(ARTIFICIALDATA_rec$Year_indicator, labels = c("royalblue", "orange"))
Chart <- plot_ly(ARTIFICIALDATA_rec, x = ~week , y = ~time_series_value,
type = 'bar',
marker = list(color = ~color), name = ~Year_indicator) %>%
layout(title = "TEST",yaxis = list(title = 'Millions EUR '), barmode = 'stack')
Chart<-ggplotly(Chart)
Chart
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.I plot in Excel but defently i need this plot with plotly.Most important thing is to compare only data which is same.For example data for 2020 contain data about 16 weeks and compratation must be with the same period of 2019. So can anybody help me about this problem and plot this plot with plotly ?

Answer 1

You need to add a trace for each time series you want to plot and specify barmode in the layout of your `plotly plot. No additional data manipulation seems necessary to get what you want:
CODE
dat <- as.data.table(ARTIFICIALDATA)
colnames(dat) <- c('week', 'series1', 'series2')
plt <- plot_ly(dat) %>%
add_trace(x = ~week, y = ~series1, type = 'bar', name = '2019 Series 1') %>%
add_trace(x = ~week, y = ~series2, type = 'bar', name = '2020 Series 1') %>%
layout(
xaxis = list(title = 'week'),
yaxis = list(title = ''),
barmode = 'group'
)
the data.table part is not necessary - I did that purely to get simpler column names and because I prefer data.table for subsetting etc.
OUTPUT
The above code returns the below plot:
You can subset your data to include only weeks for which both series have data to get the graph in your post.
plt <- plot_ly(dat[!is.na(series2)]) %>%
...
Optionally, you can move the legend to the bottom by specifying the legend in layout - makes it nicer to read in my opinion:
layout(
...
legend = list(orientation = 'h')
)
This gives you: