data-visualization

问题 I have the following data in R Data_I_Have <- data.frame( "Node_A" = c("John", "John", "John", "Peter", "Peter", "Peter", "Tim", "Kevin", "Adam", "Adam", "Xavier"), "Node_B" = c("Claude", "Peter", "Tim", "Tim", "Claude", "Henry", "Kevin", "Claude", "Tim", "Henry", "Claude"), " Place_Where_They_Met" = c("Chicago", "Boston", "Seattle", "Boston", "Paris", "Paris", "Chicago", "London", "Chicago", "London", "Paris"), "Years_They_Have_Known_Each_Other" = c("10", "10", "1", "5", "2", "8", "7", "10",

问题 In a previous post, a user showed me how to to plot longitudinal data in R. Here is the code: library(ggplot2) Data <- data.frame( "ID" = c("ABC111", "ABC111", "ABC111", "ABC111", "ABC112", "ABC112", "ABC112", "ABC113", "ABC113", "ABC114", "ABC115"), "color" = c("red", "red", "red", "red", "blue", "blue", "blue", "green", "green", "black", "yellow"), "start_date" = c("2005/01/01", "2006/01/01", "2007/01/01", "2008/01/01", "2009/01/01", "2010/01/01", "2011/01/01", "2012/01/01", "2013/01/01",

问题 In a previous post, a user showed me how to to plot longitudinal data in R. Here is the code: library(ggplot2) Data <- data.frame( "ID" = c("ABC111", "ABC111", "ABC111", "ABC111", "ABC112", "ABC112", "ABC112", "ABC113", "ABC113", "ABC114", "ABC115"), "color" = c("red", "red", "red", "red", "blue", "blue", "blue", "green", "green", "black", "yellow"), "start_date" = c("2005/01/01", "2006/01/01", "2007/01/01", "2008/01/01", "2009/01/01", "2010/01/01", "2011/01/01", "2012/01/01", "2013/01/01",

问题 I have tried many ways to convert this:- https://observablehq.com/@d3/zoomable-sunburst into react as it's majorly using observable and runtime . That is not being converted to React. It's using some helper.js as well in this. Code is here https://observablehq.com/@d3/zoomable-sunburst Is there any idea that anyone can give or any suggestion to do it. Thanks in advance 回答1: The op has reached to Observablehq forum. Here are some insights on the answer for the problem in case you need help

问题 I have tried many ways to convert this:- https://observablehq.com/@d3/zoomable-sunburst into react as it's majorly using observable and runtime . That is not being converted to React. It's using some helper.js as well in this. Code is here https://observablehq.com/@d3/zoomable-sunburst Is there any idea that anyone can give or any suggestion to do it. Thanks in advance 回答1: The op has reached to Observablehq forum. Here are some insights on the answer for the problem in case you need help

问题 I am using the R programming language. I am following this tutorial over here for making 3d kernel density plots in R: https://plotly.com/r/3d-surface-plots/: library(MASS) library(plotly) kd <- with(MASS::geyser, MASS::kde2d(duration, waiting, n = 50)) fig <- plot_ly(x = kd$x, y = kd$y, z = kd$z) %>% add_surface() fig I decided to try this on my own data : #generate data a = rnorm(100,10,10) b = rnorm(100,5,5) c = rnorm(100,5,10) d = data.frame(a,b,c) #make 3d plot (I think n = 50 refers to

问题 I am working with the R programming language. I am trying to plot some categorical and continuous data that I am working with, but I am getting an error that tells me that such plots are only possible with "only numeric variables". library(survival) library(ggplot2) data(lung) data = lung data$sex = as.factor(data$sex) data$status = as.factor(data$status) data$ph.ecog = as.factor(data$ph.ecog) str(data) #plot mycolours <- rainbow(length(unique(data$sex)), end = 0.6) # png("gally.png", 500,

问题 I am working with the R programming language. I am trying to plot some categorical and continuous data that I am working with, but I am getting an error that tells me that such plots are only possible with "only numeric variables". library(survival) library(ggplot2) data(lung) data = lung data$sex = as.factor(data$sex) data$status = as.factor(data$status) data$ph.ecog = as.factor(data$ph.ecog) str(data) #plot mycolours <- rainbow(length(unique(data$sex)), end = 0.6) # png("gally.png", 500,

问题 I have a dataset which consists entirely of boolean variables. Exactly like the transformed animal dataset below, only with many more columns. # http://stats.stackexchange.com/questions/27323/cluster-analysis-of-boolean-vectors-in-r library(cluster) head(mona(animals)[[1]]) war fly ver end gro hai ant 0 0 0 0 1 0 bee 0 1 0 0 1 1 cat 1 0 1 0 0 1 cpl 0 0 0 0 0 1 chi 1 0 1 1 1 1 cow 1 0 1 0 1 1 The goal is to rearrange the rows in such a way that groupings of similar membership patterns are

问题 I have a dataset which consists entirely of boolean variables. Exactly like the transformed animal dataset below, only with many more columns. # http://stats.stackexchange.com/questions/27323/cluster-analysis-of-boolean-vectors-in-r library(cluster) head(mona(animals)[[1]]) war fly ver end gro hai ant 0 0 0 0 1 0 bee 0 1 0 0 1 1 cat 1 0 1 0 0 1 cpl 0 0 0 0 0 1 chi 1 0 1 1 1 1 cow 1 0 1 0 1 1 The goal is to rearrange the rows in such a way that groupings of similar membership patterns are