aitor

Nutrition d3.parsets

An interactive parallel sets visualisation for D3.js using the USDA Nutrition Data.

Parallel Sets: http://www.jasondavies.com/parallel-sets/.

Nutrition Parallel Coordinates: .

dsparks

doInstall <- TRUE  # Change to FALSE if you don't want packages installed.
toInstall <- c("jpeg", "reshape2", "ggplot2")
if(doInstall){install.packages(toInstall, repos = "http://cran.r-project.org")}
lapply(toInstall, library, character.only = TRUE)

# Image URL:
allImageURLs <- c("http://media.charlesleifer.com/blog/photos/thumbnails/akira_940x700.jpg",
                  "http://upload.wikimedia.org/wikipedia/commons/thumb/e/ec/Mona_Lisa%2C_by_Leonardo_da_Vinci%2C_from_C2RMF_retouched.jpg/402px-Mona_Lisa%2C_by_Leonardo_da_Vinci%2C_from_C2RMF_retouched.jpg",
                  "http://upload.wikimedia.org/wikipedia/commons/thumb/e/e9/Official_portrait_of_Barack_Obama.jpg/441px-Official_portrait_of_Barack_Obama.jpg",
                  "http://cache.boston.com/universal/site_graphics/blogs/bigpicture/obama_11_05/obama22_16604051.jpg",

primaryobjects

// See also http://stackoverflow.com/a/27228544/2596404

// Blob is your binary data.
// blob = ...;

// Encode the data and post to server.
var reader = new FileReader();
reader.readAsDataURL(blob);
reader.onloadend = function() {
    base64data = reader.result;

skranz

# Helper functions that allow string arguments for  dplyr's data modification functions like arrange, select etc. 
# Author: Sebastian Kranz

# Examples are below

#' Modified version of dplyr's filter that uses string arguments
#' @export
s_filter = function(.data, ...) {
  eval.string.dplyr(.data,"filter", ...)
}

johnschrom

library(ggplot2)
library(maps)
library(mapproj)

###############################################################################
# Step 1: Get data from Foursquare
# If you already have it, then great :) Otherwise, you can use RPI. The source
# is listed below, and there are instructions for getting keys in the readme.
# RPI: https://github.com/johnschrom/RPI

asciipip

#!/usr/bin/python

# Author: Phil! Gold <phil_g@pobox.com>
# License: CC0 Waiver http://creativecommons.org/publicdomain/zero/1.0/

import time
from Adafruit_I2C import Adafruit_I2C

class _MPL115A2_Register:

jcheng5

library(shiny)
library(ggplot2)

function(input, output) {

  dataset <- reactive({
    diamonds[sample(nrow(diamonds), input$sampleSize),]
  })

  output$plot <- renderPlot({

zmaril

I want to write software that helps kill people.

Please, before you call the police and get my github account put on lockdown, allow me a moment to explain. What I really want to do is work on projects that advance the human condition and improve people's lives. I've been in a mad dash to learn how to program for the past four or five years exactly because I realized how much good I could do for the world with a computer.

jennybc

#' ---
#' title: "Something fascinating"
#' author: "Jenny Bryan"
#' date: "`r format(Sys.Date())`"
#' output: github_document
#' ---

harith

# Utilities for quickly accessing frequently used directories in bash.

# Usage:
#   $ cd /path/to/project/src/
#   $ mark code     # Will create a new shortcut.
#                   # Becomes interactive if a shortcut already exists
#                   # m is an alias for mark. You can also `m code`
#
#   $ code          # From now on, running this anywhere in the shell
#                   # will put you in /path/to/project/src/code