r-highcharter

问题 I'm working on shiny app that contains two drill down charts, both read from same data file the only difference is the first chart excute summation, while the second one gets averages, the issue is whatever the change I make both charts still conflicting , here is the used code cate<-c("Furniture","Furniture","Furniture","Furniture","Furniture","Furniture","Furniture","Furniture","Furniture","Furniture","Furniture","Furniture","drinks","drinks","groceries","groceries","groceries","dairy",

问题 I have a dataframe with US States and their counties like the one below: State<-c("Alabama","Alabama","Alaska","Alaska") StateCode<-c("AL","AL","AK","AK") County<-c("AUTAUGA","BALDWIN","ANCHORAGE","BETHEL") CountyCode<-c("AL001","AL003","AK020","AK050") Murder<-c(5,6,7,8) d<-data.frame(State,StateCode,County,CountyCode, Num) My goal is to create a State-County drill-down map like this highchart map. After finding the summary of Murder from every State I created a dataframe like the one below:

问题 I would like to create a chart like this in Highcharter to use in R. Ideally, what I would like to do is a bar chart where the width of the bar is the spread over the amount of days for which the event has happened. I have tried using "pointWidth", however, I need the bar width to be variable depending on the length of the event. Here is the dataframe I am trying to plot: df <- data.frame(event = c("wedding", "party", "concert"), start_date = as.Date(c("2017-10-01", "2017-11-01", "2017-11-20"

问题 I have a line chart in highcharter that I would like to add additional information in the tooltip to. Data and code is as follows: library("dplyr") library("highcharter") data<- data.frame(Company = c("A", "A", "A", "B", "B", "B"), Year = c(1,2,3,1,2,3), Value1 = c(100, 150, 170, 160, 150, 180), Value2 = c(3, 1, 7, 6, 5, 4)) data<- data %>% group_by(name = Company) %>% do(data = .$Value1, Value2 = .$Value2) series<- list_parse(data) highchart()%>% hc_chart(type="line")%>% hc_add_series_list

问题 CONTEXT I want to create a R Shiny dashboard using advanced UI, based on html template. The UI is thus built in pure HTML, and I'm using a bootstrap 4 free template as a starting point. ISSUE While using highcharter and its Shiny integration functions works fine with super basic HTML files (same as in the above tutorial), charts do not display once I use a bootstrap dashboard theme. WHAT I HAVE TRIED Several bootstrap templates: SB Admin 2 Gentelella REPRODUCIBLE EXAMPLE Sharing a

问题 When using highcharter for interactive plots, how can I specify that datapoints in a group must highlight together? library(highcharter) library(dplyr) library(tidyr) dfr <- data.frame(sample=c("A","B","C","D"),part=c(2,3,4,6),cat=c(5,7,3,3)) dfr1 <- dfr %>% tidyr::gather(key=metric,value=value,-sample) dfr1 sample metric value 1 A part 2 2 B part 3 3 C part 4 4 D part 6 5 A cat 5 6 B cat 7 7 C cat 3 8 D cat 3 dfr1 %>% hchart(.,"scatter",hcaes(x=metric,y=value,group=factor(sample))) %>% hc

问题 I want to drilldown to multiple series. How do I change the x axis categories after drilldown and still maintain my series? hc <- highchart() %>% hc_chart(type = "column") %>% hc_title(text = "Job Ratio") %>% hc_xAxis(categories = c("Job A", "Job B")) %>% hc_plotOptions(series = list(stacking = "normal")) %>% hc_yAxis(max = 100) %>% hc_add_series(name = "Completed", data = list(list(y = 40, drilldown = "job-a"), list(y = 35, drilldown = "job-a"))) %>% hc_add_series(name = "No progress", data

问题 I am struggling in adding one level drilldown in my grouped column chart made using highcharter. To explain, I am taking using the "vaccines" dataset available in highcharter library : My code (similar) that creates the grouped column chart : library (highcharter) library(dplyr) df <- na.omit(vaccines[vaccines$year %in% c("1928", "1929"),]) df <- ddply(df, c("state", "year"), summarise, count = sum(count)) hc <- hchart(df, type = "column", hcaes(x = state, y = count, group = year)) %>% hc

问题 I am trying to create a multi-layer drilldown graph using highcharter with dynamic data in shiny . With the help of the SO Community (shoutout to @K. Rohde) was able to figure it out by looping through all possible drilldowns. My actual shiny application will have hundreds off possible drilldowns and I don't want to add this extra time to the application but rather have the drilldown be created on the fly using addSingleSeriesAsDrilldown . Unsure of how to use it in R though. Below is the

问题 I'm trying to create a stacked bar chart with groupings using Highcharter, and need to create it without using the hchart() function. I have the following code ( hchart() portion works). data <- data.frame( building = c("Building A", "Building A", "Building B", "Building B"), type = c("Rent", "Owned"), measure = c(100, 35, 124, 150), measure_target = c(95, 20, 122, 145) ) # This works hchart(data, "column", hcaes(x = "building", y = "measure", group = "type")) %>% hc_plotOptions(column = list