plotly

I want to create a bar plot with Descending bars, In the plot below, due to NA being present at 2nd spot in "a1" vector, it is pushed at the last when the plot is created. However, I want the NA bar to be present at the 2nd spot only, kindly help me here as I want to achieve this without modifying my data. library(ggplot2) library(plotly) a1 = c("A",NA,"B","C","D","F") b1 = c(165,154,134,110,94,78) a12 = data.frame(a1,b1,stringsAsFactors = FALSE) pp1 <<- ggplot(a12 , aes(x = reorder(a1,-b1), y = b1,text=paste("User: <br>",a1, "<br> Days: <br>", round(b1)))) + geom_bar(stat = "identity", fill =

I am trying to arrange two pie charts in a single row using the subplot function from the plotly package but the resultant plot is not what I expect. I was able to do the same for line charts, etc but I am facing trouble plotting two pie charts in a single row. Following is the code that I have. ds_r <- data.frame(labels = c("Baseline", "DTC", "Detailing", "Flex"), values = c(63.5, 8.5, 20.6, 7.4)) ds_l <- data.frame(labels = c("Baseline"), values = c(100)) plot_right <- plot_ly(ds_r, labels = labels, values = values, type = "pie") %>% layout(title = "Sales - Decomposed") plot_left <- plot_ly

The two separate charts created from data.frame work correctly when created using the R plotly package. However, I am not sure how to combine them into one (presumably with the add_trace function) df <- data.frame(season=c("2000","2000","2001","2001"), game=c(1,2,1,2),value=c(1:4)) plot_ly(df, x = game, y = value, mode = "markers", color = season) plot_ly(subset(df,season=="2001"), x = game, y = value, mode = "line") Thanks in advance There are two main ways you can do this with plotly, make a ggplot and convert to a plotly object as @MLavoie suggests OR as you suspected by using add_trace on

I'm trying to get a background image on my graph using plotly. I can't seem to get ANY image to display without using one of the images.plot.ly links. I tried web URLs and local images in the same folder as the project. This is what is showing up when I used the image URL from their tutorial: https://plot.ly/python/images/ This is the only time I can get anything to show up. Any other link just produces nothing on the graph. Any tips? I have searched high and low for this. layout = dict(title = 'Crime Cluster Statistics', yaxis = dict(zeroline = False), xaxis = dict(zeroline = False), images=

I've been wracking my brain over how to get rid of the trace name with plotly and can't seem to find anything. It seems adding the trace name is a unique feature of plotly boxplots. I could just name it " " but I need the original trace name so that I can reference it when overlaying a marker. I've simplified the code as much as possible to the root issue. Is there a way to hide the trace name? housing = read.table("http://archive.ics.uci.edu/ml/machine-learning-databases/housing/housing.data") colnames(housing) = c("CRIM","ZN","INDUS","CHAS","NOX","RM","AGE","DIS","RAD","TAX","PTRATIO","B",

Given for example library(ggplot2) library(plotly) df <- data.frame(V1=gl(6,20), V2=gl(40,3)) p <- ggplot(df, aes(x=V1, fill=V2)) + geom_bar(color="white") ggplotly(p) some bar segments show no tooltip/hover information, whereas the legend displays the huge number of factor levels nicely (=scroll bar). How can I fix this? I'm using packageVersion("ggplot2") # [1] ‘2.2.0’ packageVersion("plotly") # [1] ‘4.5.6’ Edit/FYI: Crossposted to GitHub . adding some code. We can fix it: library(ggplot2) library(plotly) df <- data.frame(V1=gl(6,20), V2=gl(40,3)) p <- ggplot(df, aes(x=V1, fill=V2)) + geom