View index.html
<head>
<!-- Plotly.js -->
<script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
</head>
<body>
<div id="graph"></div>
<script>
var dat = [{
"x": [1,2,3,4,5],
View line-on-brush.R
library(plotly)
library(crosstalk)
library(htmlwidgets)
mtcars %>%
SharedData$new() %>%
plot_ly(x = ~wt, y = ~mpg) %>%
highlight("plotly_selected", dynamic = TRUE) %>%
onRender(
"function(el, x) {
View cumulative-last-first.R
accumulate_by <- function(dat, var, showLastFirst = FALSE) {
var <- lazyeval::f_eval(var, dat)
lvls <- plotly:::getLevels(var)
dats <- lapply(seq_along(lvls), function(x) {
cbind(dat[var %in% lvls[seq(1, x)], ], frame = lvls[[x]])
})
if (showLastFirst) {
lastFrame <- dats[[length(dats)]]
# you will likely have to fiddle with this value
lastFrame$frame <- 0
View counties.geojson
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
View volcano-plot-snp.R
# install.packages("plotly")
library(plotly)
library(htmlwidgets)
# grab some fake data from manhattanly
# note this is a data.frame!
# you can convert a matrix to a data frame with as.data.frame()
download.file("https://github.com/sahirbhatnagar/manhattanly/raw/master/data/HapMap.rda", "HapMap.rda")
load("HapMap.rda")
View simplify.R
library(jsonlite)
txt <- '{
"points": [{
"curveNumber": 0,
"text": "a",
"pointNumber": 0,
"customdata": "c.a",
"y": 4,
"x": 1
View choropleth.R
library(dplyr)
library(tidyr)
library(readr)
# For other measures, see http://ghdx.healthdata.org/us-data
# TODO: do this on the county level for more interesting data, like this post - https://fivethirtyeight.com/features/mortality-black-belt/
obesity <- read_csv("http://ghdx.healthdata.org/sites/default/files/record-attached-files/IHME_USA_OBESITY_PHYSICAL_ACTIVITY_2001_2011.csv")
# reshape data so value tracks
ob <- obesity %>%
View plotly-shiny-examples.R
library(shiny)
library(plotly)
# I keep a collection of my (plotly and non-plotly) apps here
# https://github.com/cpsievert/apps
runGitHub("apps", "cpsievert", subdir = "shiny/apps/plotlyAg")
browseURL("https://github.com/cpsievert/apps/blob/master/shiny/apps/plotlyAg/app.R")
# The plotly package ships with some rmarkdown/shiny examples
browseURL("https://github.com/ropensci/plotly/tree/master/inst/examples")
View ggbasic.json
{"x":{"data":[{"orientation":"v","width":[0.310344827586207,0.310344827586207,0.310344827586207,0.310344827586207,0.310344827586206,0.310344827586207,0.310344827586206,0.310344827586206,0.310344827586206,0.310344827586206,0.310344827586206,0.310344827586206,0.310344827586206,0.310344827586206,0.310344827586206,0.310344827586206,0.310344827586206,0.310344827586206,0.310344827586206,0.310344827586206,0.310344827586206,0.310344827586206,0.310344827586206,0.310344827586207,0.310344827586206,0.310344827586206,0.310344827586206,0.310344827586206,0.310344827586206,0.310344827586206],"base":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"x":[0.931034482758621,1.24137931034483,1.55172413793103,1.86206896551724,2.17241379310345,2.48275862068966,2.79310344827586,3.10344827586207,3.41379310344828,3.72413793103448,4.03448275862069,4.3448275862069,4.6551724137931,4.96551724137931,5.27586206896552,5.58620689655172,5.89655172413793,6.20689655172414,6.51724137931035,6.82758620689655,7.13793103448276,7.448275862
View sankey.R
library(plotly)
plot_ly(
type = 'sankey',
node = list(
label = c("a","b", "c", "d", "e", "f", "g", "h"),
color = c("black","black","black","black","black","black",
"black","black"),
pad = 15,
thickness = 15,