jeremywrowe

plotOptions: {
            line : {
              dataLabels : {
                enabled : true,
                formatter: function() {
                  var first = this.series.data[0],
                      last  = this.series.data[this.series.data.length - 1];
                  if ((this.point.category === first.category && this.point.y === first.y) ||
                      (this.point.category === last.category  && this.point.y === last.y)) {
                    return this.point.y;

dsparks

# .png with Windows GDI versus .png with cairographics

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

# Generate some data
nn <- 100
myData <- data.frame(X = rnorm(nn),

dsparks

# Truly the most ridiculous thing I could think of.

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

# Some helper functions, lineFinder and makeTable
source_gist("818983")
source_gist("818986")

mbostock

Collections

each(array)

Underscore example:

_.each([1, 2, 3], function(num) { alert(num); });

postrational

#!/bin/bash

NAME="hello_app"                                  # Name of the application
DJANGODIR=/webapps/hello_django/hello             # Django project directory
SOCKFILE=/webapps/hello_django/run/gunicorn.sock  # we will communicte using this unix socket
USER=hello                                        # the user to run as
GROUP=webapps                                     # the group to run as
NUM_WORKERS=3                                     # how many worker processes should Gunicorn spawn
DJANGO_SETTINGS_MODULE=hello.settings             # which settings file should Django use
DJANGO_WSGI_MODULE=hello.wsgi                     # WSGI module name

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", ...)
}

joews

d3 cloud example

An example of how to animate a d3-cloud word cloud.

Based on https://github.com/jasondavies/d3-cloud/blob/master/examples/simple.html.

abresler

library(dplyr)
library(tidyr)
library(magrittr)
library(ggplot2)
"http://academic.udayton.edu/kissock/http/Weather/gsod95-current/NYNEWYOR.txt" %>%
	read.table() %>% data.frame %>% tbl_df -> data
names(data) <- c("month", "day", "year", "temp")

data %>%
	group_by(year, month) %>%

hadley

If you were to give recommendations to your "little brother/sister" on things that they need to do to become a data scientist, what would those things be?

I think the "Data Science Venn Diagram" (http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram) is a great place to start. You need three things to be a good data scientist:

• Statistical knowledge
• Programming/hacking skills
• Domain expertise

Statistical knowledge

bryangoodrich

# Twitter Topic Modeling Using R
# Author: Bryan Goodrich
# Date Created: February 13, 2015
# Last Modified: April 3, 2015
# 
# Use twitteR API to query Twitter, parse the search result, and
# perform a series of topic models for identifying potentially
# useful topics from your query content. This has applications for
# social media, research, or general curiosity
#