tylermorganwall

library(geojsonsf)
library(sf)
library(rayrender)

#Data source: https://github.com/telegeography/www.submarinecablemap.com
cables = geojson_sf("cable-geo.json")

cablescene = list()
counter = 1
for(i in 1:length(cables$geometry)) {

primaryobjects

###
### Example of using word2vec.
### Kory Becker, August 16, 2017
###

library(devtools)
library(httr)
library(tm)

set_config(

marcgg

var noteValues = {
    'C0': 16.35,
    'C#0': 17.32,
    'Db0': 17.32,
    'D0': 18.35,
    'D#0': 19.45,
    'Eb0': 19.45,
    'E0': 20.60,
    'F0': 21.83,
    'F#0': 23.12,

primaryobjects

require(ggplot2)
require(gridExtra)

saveChart <- function(chart, fileName) {
  # Draw attribution.
  chart <- chart + geom_text(aes(label = 'sentimentview.com', x = 2.5, y = 0), hjust = -2, vjust = 6, color="#a0a0a0", size=3.5)
  
  # Disable clip-area.
  gt <- ggplot_gtable(ggplot_build(chart))
  gt$layout$clip[gt$layout$name == "panel"] <- "off"

tomhopper

#' When plotting multiple data series that share a common x axis but different y axes,
#' we can just plot each graph separately. This suffers from the drawback that the shared axis will typically
#' not align across graphs due to different plot margins.
#' One easy solution is to reshape2::melt() the data and use ggplot2's facet_grid() mapping. However, there is
#' no way to label individual y axes.
#' facet_grid() and facet_wrap() were designed to plot small multiples, where both x- and y-axis ranges are
#' shared acros all plots in the facetting. While the facet_ calls allow us to use different scales with
#' the \code{scales = "free"} argument, they should not be used this way.
#' A more robust approach is to the grid package grid.draw(), rbind() and ggplotGrob() to create a grid of 
#' individual plots where the plot axes are properly aligned within the grid.

michiel

#
# Wide-open CORS config for nginx
#
location / {

     if ($request_method = 'OPTIONS') {

        add_header 'Access-Control-Allow-Origin' '*';
        
        #