data-visualization

问题 i have a table like this order_id | user_id | createdAt | transaction_amount order_id as the id of the transaction, user_id as the user, createdAt as the dates, and transaction_amount is the transaction of each id order. so on tableau i want to find out users in time range '2020-01-01' until '2020-01-31' with 2 conditions the users are doing transaction before last date in range ('2020-01-31') and atleast doing more than 1 transaction and the users are at least doing 1 transaction in date

问题 I am trying to create an interactive visualisation of an individual's salary growth across multiple employers. I am using a geom_rect series to show pay periods and salary information. When I apply the ggplotly function, hover tooltips are not showing by default, and I cannot find a way to enable them. What can I do to enable tooltips over the geom_rect? data: df <- data.frame( "From" = seq(as.Date("2016-01-01"), as.Date("2026-01-01"), by = 14), "To" = seq(as.Date("2016-01-01"), as.Date("2026

问题 I am trying to create an interactive visualisation of an individual's salary growth across multiple employers. When I add a rangeslider to the ggplotly function, the initial min and max values for the slider are set nowhere near the range of observations. How can I get reasonable initial values for the slider, either by having it set automatically based on the data range or set manually? data: df <- data.frame( "From" = seq(as.Date("2016-01-01"), as.Date("2026-01-01"), by = 14), "To" = seq(as

问题 I am trying to create an interactive visualisation of an individual's salary growth across multiple employers. I am using a geom_rect series to show pay periods and salary information. When I apply the ggplotly function, hover tooltips are not showing by default, and I cannot find a way to enable them. What can I do to enable tooltips over the geom_rect? data: df <- data.frame( "From" = seq(as.Date("2016-01-01"), as.Date("2026-01-01"), by = 14), "To" = seq(as.Date("2016-01-01"), as.Date("2026

问题 I am trying to create a simple Sankey diagram showing flows between two sets of nodes, and would like the two sets to have the same names. However, this isn't allowed (it brings up a "Cycle found in rows" error), so I add "2" to the names of the nodes in the second set, like so: function drawChart() { var data = new google.visualization.DataTable(); data.addColumn('string', 'From'); data.addColumn('string', 'To'); data.addColumn('number'); data.addRows([ ['foo', 'foo2', 6], ['bar', 'bar2', 4]

问题 I am trying to create a simple Sankey diagram showing flows between two sets of nodes, and would like the two sets to have the same names. However, this isn't allowed (it brings up a "Cycle found in rows" error), so I add "2" to the names of the nodes in the second set, like so: function drawChart() { var data = new google.visualization.DataTable(); data.addColumn('string', 'From'); data.addColumn('string', 'To'); data.addColumn('number'); data.addRows([ ['foo', 'foo2', 6], ['bar', 'bar2', 4]

问题 I posted a comment/reply to another stackoverflow post over here : R: Understanding Graph relating to graphs in R. If you create some data corresponding to movies and actors (in which movies can not be connected to other movies directly, and actors can not be connected to other actors directly), you write some R code to check if your graph is bipartite: library(igraph) film_data <- data.frame( "movie" = c("movie_1", "movie_1", "movie_1", "movie_2", "movie_2", "movie_2", "movie_3", "movie_3",

问题 I posted a comment/reply to another stackoverflow post over here : R: Understanding Graph relating to graphs in R. If you create some data corresponding to movies and actors (in which movies can not be connected to other movies directly, and actors can not be connected to other actors directly), you write some R code to check if your graph is bipartite: library(igraph) film_data <- data.frame( "movie" = c("movie_1", "movie_1", "movie_1", "movie_2", "movie_2", "movie_2", "movie_3", "movie_3",

问题 I'm using Plotly and making scatter plot subplots with a shared y-axis and different x-axes. I have attempted to use the figure object (fig['layout'][data index]) syntax to show multiple stacked x-axes and their respective ranges. I have only been successful in showing two xaxes and ranges per subplot by assigning 'top' and 'bottom' to the side attribute of the figure layout. The 2nd column from the right in figure below should show titles/ranges for series T5, T6, and T7 but only the title

问题 I create some fake (time series) data in R at daily intervals. I want to "aggregate" the data by "week", and then plot the data. I have posted my code below: #set seed set.seed(123) #load libraries library(xts) library(ggplot2) #create data date_decision_made = seq(as.Date("2014/1/1"), as.Date("2016/1/1"),by="day") date_decision_made <- format(as.Date(date_decision_made), "%Y/%m/%d") property_damages_in_dollars <- rnorm(731,100,10) final_data <- data.frame(date_decision_made, property_damages