Candlestick charts use the first four data series to plot, the rest of the data series (if any) are rendered with line plotter: m <- cbind(m, apply(m[, 1:3], 1, mean)) colnames(m)[5] <- "Mean" dygraph(m) %>% dyCandlestick() Jan 30, 2018 · As the maintainer of the R package plotly, I’m certainly aware that ggplotly() is not perfect. 1 And, even when conversion from ggplot2 to plotly ‘works’ it can leave some things to be desired. For example, it might take a while to render, it might not look exactly the way ggplot2 does, and/or the default interactive properties (e.g ... May 18, 2018 · Try Plotly in Mode. sunburstR. Sunburst chart of baseball pitch data (Kent Russell) Sunburst charts are great for visualizing data that describes sequences of events, from sports data to user flows through a product. With SunburstR, you can build R charts just like the sunburst sequence visualizations created by Kerry Rodden in d3.js. The ... import plotly.plotly as py import plotly.graph_objs as go 4. A Hello World Figure trace = : [1, 2] , 'y' : data = [trace ] data = { } fig = go.Figure ( data = data, layout = layout ) 5. Plot the Figure! In the terminal plot_url = py.plot ( fig) Or in the IPython notebook: py.plot ( fig ) Line Plots tracel = go.Scatter ( trace2 = go.Scatter ( Highcharts Demo: Parallel coordinates. Chart showing an example of a parallel coordinate plot. This type of visualization is commonly used to show multivariate data, and can help analyze large datasets to find patterns and correlations. plot.ly/r/getting-started p <- plot_ly (library( plotly ) x = rnorm( 1000 ), y = rnorm( 1000 ), mode = ‘markers’ ) plot_ly (x = c( 1, 2, 3 ), y = c( 5, 6, 7 ),