cpsievert
/ index.html
Created Jul 16, 2018
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$new() %>% | |
| plot_ly(x = ~wt, y = ~mpg) %>% | |
| highlight("plotly_selected", dynamic = TRUE) %>% | |
| onRender( | |
| "function(el, x) { |
cpsievert
/ cumulative-last-first.R
Created Feb 9, 2018
Cumulative animation where last frame is shown first
View cumulative-last-first.R
| accumulate_by <- function(dat, var, showLastFirst = FALSE) { | |
| var <- lazyeval::f_eval(var, dat) | |
| lvls <- plotly:::getLevels(var) | |
| dats <- lapply(seq_along(lvls), function(x) { | |
| cbind(dat[var %in% lvls[seq(1, x)], ], frame = lvls[[x]]) | |
| }) | |
| if (showLastFirst) { | |
| lastFrame <- dats[[length(dats)]] | |
| # you will likely have to fiddle with this value | |
| lastFrame$frame <- 0 |
cpsievert
/ counties.geojson
Created Jan 3, 2018
View counties.geojson
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cpsievert
/ volcano-plot-snp.R
Last active Feb 9, 2018
Volcano plot with the ability to query snp codes
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 |
cpsievert
/ choropleth.R
Created Dec 1, 2017
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 %>% |
cpsievert
/ plotly-shiny-examples.R
Last active Jan 11, 2018
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") |
cpsievert
/ ggbasic.json
Last active Sep 27, 2017
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, |
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