jkubecki

// The following data should be run in the console while viewing the page https://read.amazon.com/
// It will export a CSV file called "download" which can (and should) be renamed with a .csv extension

var db = openDatabase('K4W', '3', 'thedatabase', 1024 * 1024);

getAmazonCsv = function() {
  // Set header for CSV export line - change this if you change the fields used
  var csvData = "ASIN,Title,Authors,PurchaseDate\n";

  db.transaction(function(tx) {

fredbenenson

layout	title	description	tags
default	SQL Style Guide	A guide to writing clean, clear, and consistent SQL.	data process

Purpose

navicore

# oauth2 to coinbase via R
# define your oauth2 app to get "Client ID" and "Client Secret" at https://www.coinbase.com/settings/api
appKey="<MY_CLIENT_ID>"
appSecret="<MY_CLIENT_SECRET>"

require(httr)
require(jsonlite)
require(httpuv)

endpoints <- oauth_endpoint(

trestletech

Bioconductor Shiny Example #4

Example Shiny App showing an example of being embedded in a larger, non-Shiny workflow.

This is an example Shiny app featuring some basic analysis of Ovarian Cancer gene expression data collected on the Affymetrix U133A platform. We filter the available genes and samples down to a much smaller matrix to make reproducibility simpler for a broader audience. The R code involved in sampling the data is available in this Gist as an R-Markdown file, and the sampled data are available in this Gist as Rds files.

To run the application, install shiny (install.packages("shiny")) then run the following command:

library(shiny)

wch

data_sets <- c("mtcars", "morley", "rock")

shinyServer(function(input, output) {

  # Drop-down selection box for which data set
  output$choose_dataset <- renderUI({
    selectInput("dataset", "Data set", as.list(data_sets))
  })

  # Check boxes