data-visualization

问题 I have the following code: library(treemap) library(d3treeR) # example 1 from ?treemap data(GNI2014) d3tree2( treemap( GNI2014 ,index=c("continent", "iso3") ,vSize="population" ,vColor="GNI" ,type="value" ) , rootname = "World" ) It shows, both, the interactive and the noninteractive maps, but I want only one to be shown: Interactive one. This is what I get: two not needed, but added plots 来源： https://stackoverflow.com/questions/65606792/d3tree2treemap-keeps-showing-duplicate-noninteractive

问题 I am using the R programming language. I create the following data and graph: library(xts) library(ggplot2) library(dplyr) library(plotly) library(lubridate) set.seed(123) #time series 1 date_decision_made = seq(as.Date("2014/1/1"), as.Date("2016/1/1"),by="day") property_damages_in_dollars <- rnorm(731,100,10) final_data <- data.frame(date_decision_made, property_damages_in_dollars) #####aggregate final_data$year_month <- format(as.Date(final_data$date_decision_made), "%Y-%m") final_data$year

问题 I am using facet-wrap to show two variables ( a and b ) for four cities. I could group the plots based on the cities but can not show the legend for the variables (i.e., a and b ) using scale_color_discrete. ggplot() + geom_line(data=df, aes(x=year, y = a, group=city), colour="red",linetype = "longdash",show_guide = TRUE) + geom_line(data=df, aes(x=year, y = b, group=city), colour="blue", show_guide = TRUE) + scale_color_discrete(name="Scenarios",labels=c("a" ,"b")) + guides(color=guide

问题 I'm wondering if there's a way to add a title or text on a folium map in python? I have 8 maps to show and I want the user to know which map they're looking at without having to click on a marker. I attempted to add an image of the map, but couldn't because I don't have high enough reputation score. My code: #marker cluster corpus_chris_loc = [27.783889, -97.510556] harvey_avg_losses_map = folium.Map(location = corpus_chris_loc, zoom_start = 5) marker_cluster = MarkerCluster().add_to(harvey

问题 My goal is to add 5 fit lines to the exchange index, which is a time series data. Below is what I want to achieve: There should be a plotted (&log2 transformed) index, a best fit line (in yellow), and 4 other parallel lines where it covers 95%, 75%, 25% and 5% of the index respectively. The x-axis is omitted in the picture, but it should be dates. So my question is how to add these 5 lines using Plotly? With my current code, I was able to plot the index without the 5 parallel lines but I

问题 My goal is to add 5 fit lines to the exchange index, which is a time series data. Below is what I want to achieve: There should be a plotted (&log2 transformed) index, a best fit line (in yellow), and 4 other parallel lines where it covers 95%, 75%, 25% and 5% of the index respectively. The x-axis is omitted in the picture, but it should be dates. So my question is how to add these 5 lines using Plotly? With my current code, I was able to plot the index without the 5 parallel lines but I

问题 I'm using this data input to create a D3.js visualization: Tree Layout Okay so the right now my data input is a json file which i have hardcoded: { "name":"Fun", "children": [ { "name": "Legal", "children": [ { "name": "Adventure" }, { "name": "Movie" }, { "name": "M&m" } ] }, { "name": "frowned upon", "children": [ { "name": "recreational stuff" }, { "name": "religious views" } ] } ] } But my data input is actually : How do i convert this data table dynamically to the above mentioned Json

问题 I am using the R programming language and the "igraph" library. Suppose I have some data and I make this into a undirected graph and perform community detection (graph clustering) # undirected graph library(igraph) my_data <- data.frame( "node_a" = c("Store_A", "Store_A", "Store_A", "Store_B", "Store_B", "Store_C", "Store_C", "Store_C", "Store_C", "Store_C", "Store_B", "Store_C", "customer_4", "customer_9", "customer_1"), "node_b" = c("customer_1", "customer_2", "customer_3", "customer_3",

问题 I'm trying apply line wrapping to long variable labels along the x-axis in a d3 bar chart. Here's an my chart in an Observable notebook: https://observablehq.com/@unfpamaldives/figure4 I've attempted to apply a solution from this block, consisting essentially of the following: function wrap(text, width) { text.each(function() { var text = d3.select(this), words = text.text().split(/\s+/).reverse(), word, line = [], lineNumber = 0, lineHeight = 1.1, // ems y = text.attr("y"), dy = parseFloat

问题 I am following this tutorial to create a node-like data visualization. <!DOCTYPE html> <meta charset="utf-8"> <svg width="960" height="600"></svg> <script src="https://d3js.org/d3.v4.min.js"></script> <script> var svg = d3.select("svg"), width = +svg.attr("width"), height = +svg.attr("height"); var color = d3.scaleOrdinal(d3.schemeCategory20); var simulation = d3.forceSimulation() .force("link", d3.forceLink().id(function(d) { return d.id; })) .force("charge", d3.forceManyBody()) .force(