Creating a two-level Treemap in Highcharter R with data_to_hierarchical - r

I'm attempting to create a two-level Treemap in R using data_to_hierarchical() from the highcharter package. It needs to have two levels - the topmost being the Level1 variable, which can then be clicked to view the second Level2 variable:
How can I make it two-level? I've done a lot of googling, but there's a lot of conflicting information and depreciated functions regarding making highcharts treemaps in R, and I haven't been able to find an answer.
Reproducible code:
library(tidyverse)
library(highcharter)
set.seed(110)
ex <- data.frame(
Level1 = rep(paste0("Country", seq(1:5)), each = 5),
Level2 = rep(paste0("Sector", seq(1:5)), 5),
Percentage = runif(25, 0, 1)
)
ex %>%
data_to_hierarchical(c(Level1, Level2), Percentage) %>%
hchart(type = "treemap")

I solved this by adding the allowTraversingTree, levelIsConstant, and levels arguments to my hchart() function:
library(tidyverse)
library(highcharter)
set.seed(110)
ex <- data.frame(
Level1 = rep(paste0("Country", seq(1:5)), each = 5),
Level2 = rep(paste0("Sector", seq(1:5)), 5),
Percentage = runif(25, 0, 1)
)
ex %>%
data_to_hierarchical(c(Level1, Level2), Percentage) %>%
hchart(type = "treemap",
allowTraversingTree = T,
levelIsConstant = F,
levels = list(
list(level = 1, dataLabels = list(enabled = TRUE,
format = "{point.name}<br>
{point.value}%"), borderColor = "black", borderWidth = 2),
list(level = 2, dataLabels = list(enabled = FALSE))
)
)
Top level:
Second level:

Related

Show enlarged picture when mouse hovers above data point R

I am trying to plot a scatter plot that when the mouse hovers over one of the points, an image, corresponding to a URL in the data appears.
Is it possible in R? it seems it is possible in python...
thanks,
Here is a solution using the Highchater package:
library(highcharter)
df <- data.frame(x = c(1, 2, 3, 4),
y = rep(0, 4),
package = c("dplyr", "shiny", "purrr", "stringr"),
urlimage = c("https://github.com/rstudio/hex-stickers/raw/master/PNG/dplyr.png",
"https://github.com/rstudio/hex-stickers/raw/master/PNG/shiny.png",
"https://github.com/rstudio/hex-stickers/raw/master/PNG/purrr.png",
"https://github.com/rstudio/hex-stickers/raw/master/PNG/stringr.png"))
hover_info <- tags$tr(
tags$th("Package"),
tags$td(paste0("{point.package}")),
tags$img(src = "{point.urlimage}", width = "125px", height = "125px")) %>%
as.character()
highchart() %>%
hc_add_series(data = df,
mapping = hcaes(x = x, y = y),
type = "scatter",
marker = list(radius = 5, symbol = "circle")) %>%
hc_tooltip(
useHTML = TRUE,
headerFormat = "<table>",
pointFormat = hover_info,
footerFormat = "</table>"
)
Output:

R Highcharter Drilldown Set Ymin & Ymax + Title for each layer

I am currently working with the java script wrapper highcharter in R.
I would like to manually set the Y axis for each of the layer, as well as the title for each layer but have not been able to find a way to do so.
E.g the title for all layers are currently "Basic Drilldown", and i would like to update this for each of the drilldowns. As well as I would like to manually set the y axis.
Thanks in advance.
Current code below.
df <- data_frame(
name = c("Animals", "Fruits", "Cars"),
y = c(5, 2, 4),
drilldown = tolower(name)
)
df
hc <- highchart() %>%
hc_chart(type = "column") %>%
hc_title(text = "Basic drilldown") %>%
hc_xAxis(type = "category") %>%
hc_legend(enabled = FALSE) %>%
hc_plotOptions(
series = list(
boderWidth = 0,
dataLabels = list(enabled = TRUE)
)
) %>%
hc_add_series(
data = df,
name = "Things",
colorByPoint = TRUE
)
dfan <- data_frame(
name = c("Cats", "Dogs", "Cows", "Sheep", "Pigs"),
value = c(4, 3, 1, 2, 1)
)
dffru <- data_frame(
name = c("Apple", "Organes"),
value = c(4, 2)
)
dfcar <- data_frame(
name = c("Toyota", "Opel", "Volkswagen"),
value = c(4, 2, 2)
)
hc <- hc %>%
hc_drilldown(
allowPointDrilldown = TRUE,
series = list(
list(
id = "animals",
data = list_parse2(dfan)
),
list(
id = "fruits",
data = list_parse2(dffru)
),
list(
id = "cars",
data = list_parse2(dfcar)
)
)
)
hc
EDIT* updated with answer to dynamically set yaxis for R highcharts.
drilldown = JS('function(e) {
console.log(e.seriesOptions);
this.setTitle({text: e.seriesOptions.name || e.seriesOptions.id });
this.yAxis[0].update({ min: this.yAxis[0].getExtremes().max * 0.5 })}')
First of all, you need to refactor your code a bit, because it's not correct. For example, try to create new variable with all series names and assign this list of names to drilldown field in your data.frame:
names <- c("Animals", "Fruits", "Cars")
df <- data.frame(
name = names,
y = c(5, 2, 4),
drilldown = names
)
Then, change the drilldown id's in your drilldown object definition, because it's not necessary to make them start from lowercase:
hc_drilldown(
allowPointDrilldown = TRUE,
series = list(
list(
id = "Animals",
data = list_parse2(dfan)
),
list(
id = "Fruits",
data = list_parse2(dffru)
),
list(
id = "Cars",
data = list_parse2(dfcar)
)
)
)
The final step is defining the chart.events.drilldown and chart.events.drillup function handlers, inside of which you will set the chart.title.text using Chart.update() function. In order to define it, you have to use JS() R built-in function, just like below:
hc_chart(type = "column", events = list(
load = JS("function() {console.log(this)}"),
drilldown = JS("function(e) {this.update({title: {text: e.seriesOptions.id}})}"),
drillup = JS("function() {this.update({title: {text: 'Basic drilldown' }})}")
)) %>%
Actually, i don't quite understand this part of the question:
As well as I would like to manually set the y axis.
If you describe it more precisely then I will extend the answer.

R Shiny Highcharter - How to use hc_rangeSelector()

I'm plotting a financial intra-day time serie on an R-Shiny project using the highcharter package. I'm using the following code for the server part in order to get the output (note that xtsPrices() is a function that returns an xts intraday time-serie):
output$plot <- renderHighchart({
y <- xtsPrices()
highchart() %>%
hc_exporting(enabled = TRUE)%>%
hc_add_series_ohlc(y) %>%
hc_add_theme(hc_theme_538(colors = c("red", "blue", "green"),
chart = list(backgroundColor = "white") ))
})
I read in the documentation that in order to personalize zoom buttons I have to deal with the hc_rangeSelector() function, but I don't understand how to specify them in this R-Shiny environment as shown for the javascript case in Highstock API. In particular - because it's an intra-day time-serie - I would need buttons like "20min", "1h", "3h", "1D", etc.
For intra-day data you can do something like this:
hc <- highchart() %>%
hc_exporting(enabled = TRUE) %>%
hc_add_series_ohlc(y, yAxis = 0, name = "Sample Data", id = "T1",smoothed=TRUE,forced=TRUE,groupPixelWidth=24) %>%
hc_rangeSelector( buttons = list(
list(type = 'all', text = 'All'),
list(type = 'hour', count = 2, text = '2h'),
list(type = 'hour', count = 1, text = '1h'),
list(type = 'minute', count = 30, text = '30m'),
list(type = 'minute', count = 10, text = '10m'),
list(type = 'minute', count = 5, text = '5m')
)) %>%
hc_add_theme(hc_theme_538(colors = c("red", "blue", "green"),chart = list(backgroundColor = "white") ))
hc

Displaying datatable in highcharter tooltip

Using the first block of code in this post I want to create a tooltip that would display the list of doctors visiting a clinic on a particular day.I tried the following code which displays nothing
library(DT)
tltp = DT:: datatable(data.frame(Doctors = x[x$Clinic=="{point.series}"&x$VisitDate == "{point.x}",2]))
hc%>%hc_tooltip(pointFormat = tltp)
I also tried using the tooltip_table which gives error
tltp = tooltip_table(x = NULL, y = x[x$Clinic=="{point.series}"&x$VisitDate == "{point.x}",2]
hc%>%hc_tooltip(pointFormat = tltp)
Error: unexpected symbol in:
"tltp = tooltip_table(x = NULL, y = x[x$Clinic=="{point.series}"&x$VisitDate == "{point.x}",2]
tltp"
Apologies I am not fluent in writing javascript.
As the official page recommend, to use highcharter is good alternative read how highchartsjs works. So, see this example with a simple custom tooltip.
hc <- hchart(visits, "column", x = as.Date(VisitDate), y = freq, group = Clinic) %>%
hc_plotOptions(column = list(
dataLabels = list(enabled = FALSE),
stacking = "normal",
enableMouseTracking = TRUE)
)
Adding the simple tooltip using the column names: Clinic and freq
hc %>%
hc_tooltip(pointFormat = "this is and clinic {point.Clinic} and freq {point.freq}")
The tooltip_table function is to make tables in the tooltip:
tt <- tooltip_table(c("Clinic", "Freq"), c("{point.series.name}", "{point.y}"))
hc %>%
hc_tooltip(pointFormat = tt, useHTML = TRUE)
If you need other data to show in the tooltip you can create the columun:
visits$doctors <- sample(letters, size = nrow(visits))
And then create the chart again (using the new data) and use this column in the tooltip:
hchart(visits, "column", x = as.Date(VisitDate), y = freq, group = Clinic) %>%
hc_plotOptions(column = list(
dataLabels = list(enabled = FALSE),
stacking = "normal",
enableMouseTracking = TRUE)
) %>%
hc_tooltip(pointFormat = "Here is the doctor {point.doctors}")

Highchart shiny R scatter plot - how to define individual point colors

I'm trying to create a scatter plot in highcharts shiny R but I need to give a different color to points, individually. Consider for instance the following example:
library("MASS")
dscars <- round(mvrnorm(n = 20, mu = c(1, 1), Sigma = matrix(c(1,0,0,1),2)), 2)
highchart() %>%
hc_chart(type = "scatter", zoomType = "xy") %>%
hc_tooltip(
useHTML = TRUE,
pointFormat = paste0("<span style=\"color:{series.color};\">{series.options.icon}</span>",
"{series.name}: <b>[{point.x}, {point.y}]</b><br/>")
) %>%
hc_add_series(data = list.parse2(as.data.frame(dscars)),
marker = list(symbol = fa_icon_mark("car")),
icon = fa_icon("car"), name = "car")
My objective is to give to this 20 points, an unique color.
I tried to set the "fillColor" inside marker list as also as to define the color of the series, both with a vector of 20 colors but I had no success.
Can any one give me a hint?
Thank you
In highcharts (the highcharter) the point can be given as other parameter, same as x and y. So first
library("MASS")
dscars <- round(mvrnorm(n = 20, mu = c(1, 1), Sigma = matrix(c(1,0,0,1),2)), 2)
dscars <- as.data.frame(dscars)
names(dscars) <- c("x", "y") # it's better give a named list IMHO
dscars$color <- colorize(1:nrow(dscars))
colorizeis a function to create a color vector given other vector. In this case the input vector is a sequence (no repeated) so the output will be differents colors. But if you want yo can use your own colors.
highchart() %>%
hc_chart(type = "scatter", zoomType = "xy") %>%
hc_tooltip(
useHTML = TRUE,
pointFormat = paste0("<span style=\"color:{point.color};\">{series.options.icon}</span>",
"{series.name}: <b>[{point.x}, {point.y}]</b><br/>")
) %>%
hc_add_series(data = list_parse(dscars),
marker = list(symbol = fa_icon_mark("car")),
icon = fa_icon("car"), name = "car")
Note we used:
color:{point.color}; in the poinFormat, beacuse every point has its own color in the color accesor.
I used list_parse which parse the data frame in a named list instead of unnamed list so highcharts understand how to use the data. list_parse is the same list.parse3 for old version of highcharts.
Hope it helps.
Is this what you want?
rm(list = ls())
library(highcharter)
library(MASS)
dscars <- data.frame(round(mvrnorm(n = 20, mu = c(1, 1), Sigma = matrix(c(1,0,0,1),2)), 2))
highchart() %>%
hc_chart(type = "scatter", zoomType = "xy") %>%
hc_tooltip(
useHTML = TRUE,
pointFormat = paste0("<span style=\"color:{colorByPoint:true};\">{series.options.icon}</span>",
"{series.name}: <b>[{point.x}, {point.y}]</b><br/>")
) %>%
hc_add_series(data = list.parse2(as.data.frame(dscars)),colorByPoint = TRUE,
marker = list(symbol = fa_icon_mark("car")),
icon = fa_icon("car"), name = "car")

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