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{
 "metadata": {
  "name": "Three new matplotlib plots"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {

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Phase,	Impact Area,	Possible Behavior Modification,	Goal Impacted,
All,	BRC waste and greywater,	No single-use disposable items,	
One, two,	BRC waste and greywater,	Water only in reusable containers,	
One,	BRC waste and greywater,	Cafe cups as BYO only,	
Two, three,	BRC waste and greywater,	Gasification and incineration,	
Two, three,	BRC waste and greywater,	Compost and treat water at Fly Ranch,	
All,	BRC waste and greywater,	Spur innovation with event theme,	
All,	BRC materials,	Incentivize FSC-certified wood,	
All,	BRC materials,	Source used materials,	
All,	BRC materials,	Use alternatives to replace firewood,	

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{
 "metadata": {
  "name": "Reproducible figures"
 },
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 "nbformat_minor": 0,
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Make your ggplots shareable, collaborative, and with D3
========================================================

[Ggplotly](https://github.com/ropensci/plotly) and [Plotly's R API](https://plot.ly/api/r) let you make ggplot2 plots, add `py$ggplotly()`, and make your plots interactive, online, and drawn with D3. Let's make some.


```{r echo=FALSE}
options(bitmapType="cairo")
#see: http://cran.r-project.org/web/packages/opencpu/NEWS
library(knitr)

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{
 "metadata": {
  "name": "Three new matplotlib plots"
 },
 "nbformat": 3,
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 "worksheets": [
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<div class="box box-basic mvn pan embedded-card">
  <div class="arrange arrange-middle mvs phm">
    <div class="arrange-fit">
      <div style="width:34px;">
        <div class="flex-embed box box-basic pan mvn">
          <div class="flex-embed-ratio"></div>
          <div class="flex-embed-content">
            <img src="./embedded-petition_files/jZrzAduviWUWJUK-128x128-noPad.jpg">
          </div>
        </div>

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{
 "metadata": {
  "name": "Gaza-Israel crisis 2012"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
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  {
   "cells": [
    {

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#plot.ly Example
#
#This example plot
#https://plot.ly/~GermanJimenez/0/

import plotly
import os

def collatzDropTime(n):
    c = 0

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{
 "metadata": {
  "name": "Plotly and IPython - Multiple Axes, Subplots, and Insets"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {

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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "# IPython Notebook Tutorial"
   ]