OrenBochman

set.seed(1234)
dat <- data.frame(x=LETTERS[1:10], y_1=sample(15,10), y_2=sample(150,10))
area2 <- gvisAreaChart(xvar="x", yvar=c("y_1", "y_2"), data=dat,
  			options=list(
			series="[{targetAxisIndex:0}, 
                                 {targetAxisIndex:1}]",
                        vAxes="[{viewWindowMode:'explicit',
				viewWindow:{min:0, max:10}},
				{viewWindowMode:'explicit',
				 viewWindow:{min:0, max:100}}]",

OrenBochman

From Wikipedia:

Epicyclic gearing or planetary gearing is a gear system consisting of one or more outer gears, or planet gears, revolving about a central, or sun gear. … Epicyclic gearing systems also incorporate the use of an outer ring gear or annulus, which meshes with the planet gears.

Use the menu in the top-left to change the frame of reference, fixing the specified gear in-place.

OrenBochman

https://www.kernel.org/pub/software/scm/git/docs/git-log.html
git log --pretty=format:'%h|%at|%d|%an|%ce|%s' --date=short > log.txt
%h: abbreviated commit hash
%at: author date, UNIX timestamp
%d: ref names, like the --decorate option of git-log(1)
%an: author name
%ce: committer email
%s: subject

OrenBochman

---
title       : RevealJS with Bootstrap
framework   : revealjs
widgets     : [bootstrap]            # {mathjax, quiz, bootstrap}
---

## Read-And-Delete

1. Edit YAML front matter
2. Write using R Markdown

OrenBochman

'''
 to make this work you need to have Open-Knesset source and latest db file
 from the shell type::

   $ python manage.py shell_plus
   In [1]: ed tomer.py
'''
import json, urllib2

votes=[6904,7454,6786]

OrenBochman

//facebook tag API allows sending custom data while tracking conversions and custom audiences

window._fbq = window._fbq || [];          //required async call for reporting

// Custom Audience - event based tracking for customers who viewed a product in the 'Shoes' category with a price > $100 
window._fbq.push(['track', 'ViewProduct', { //custom audience
  product_id: 1234,                         //custom data
  category: 'Shoes',                        //custom data
  price: 110                                //custom data
}]); 

OrenBochman

<link rel="import" href="../cool-clock/cool-clock.html">
<link rel="import" href="../google-map/google-map.html">
<link rel="import" href="../core-menu-button/core-menu-button.html">
<link rel="import" href="../core-icons/core-icons.html">
<link rel="import" href="../core-item/core-item.html">
<link rel="import" href="../core-field/core-field.html">
<link rel="import" href="../core-icon/core-icon.html">
<link rel="import" href="../core-input/core-input.html">
<link rel="import" href="../core-icon-button/core-icon-button.html">
<link rel="import" href="../core-toolbar/core-toolbar.html">

OrenBochman

/**
 * A script to automate requesting data from Google Analytics.
 *
 * @author [email protected] (Nick Mihailovski)
 */


/**
 * The name of the configration sheet.
 * And various parameters.

OrenBochman

#
# PREDICTING LONG TERM CUSTOMER VALUE WITH BTYD PACKAGE
# Pareto/NBD (negative binomial distribution) modeling of 
# repeat-buying behavior in a noncontractual setting
#
# Matthew Baggott, [email protected]
#
# Accompanying slides at:
# http://www.slideshare.net/mattbagg/baggott-predict-customerinrpart1#
#

OrenBochman

#
# PREDICTING LONG TERM CUSTOMER VALUE WITH BTYD PACKAGE
# Pareto/NBD (negative binomial distribution) modeling of 
# repeat-buying behavior in a noncontractual setting
#
# Matthew Baggott, [email protected]
#
# Accompanying slides at:
# http://www.slideshare.net/mattbagg/baggott-predict-customerinrpart1#
#