PyData Amsterdam presentation: Understanding the tech community through notebooks

presentation.ipynb

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    "%matplotlib inline"
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    "import pandas as pd\n",
    "import numpy as np\n",
    "import igraph\n",
    "import json\n",
    "import py2neo as neo\n",
    "import seaborn as sns\n",
    "import pickle\n",
    "\n",
    "from itertools import chain\n",
    "from functools import reduce\n",
    "from datetime import datetime\n",
    "from scipy.stats import itemfreq\n",
    "from matplotlib_venn import venn3, venn2\n",
    "from IPython.display import IFrame, HTML\n",
    "from gensim.models import Word2Vec"
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   "source": [
    "from pylab import rcParams\n",
    "rcParams['figure.figsize'] = (16.0, 8.0)"
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   "source": [
    "from py2neo.packages.httpstream import http\n",
    "http.socket_timeout = 9999"
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   "source": [
    "# Understanding the Tech Community Through Notebooks"
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   "source": [
    "## A notebook based exploration of Meetup.com events"
   ]
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Friso van Vollenhoven"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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   },
   "source": [
    "# About this talk:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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   },
   "source": [
    "## A list of tools and frameworks that could be useful for you"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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     "slide_type": "fragment"
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   },
   "source": [
    "## A exploratory analysis of local tech communities through Meetup.com"
   ]
  },
  {
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   "source": [
    "# About me\n",
    "\n",
    "![friso](https://avatars0.githubusercontent.com/u/273638?v=3&s=400)\n",
    "\n",
    "#### CTO for [GoDataDriven](http://www.godatadriven.com/)\n",
    "#### Mostly software engineering\n",
    "#### Twitter: [@fzk](https://twitter.com/fzk)\n",
    "#### Github: [friso](https://github.com/friso)"
   ]
  },
  {
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   "source": [
    "# Also, Chief Meetup Organiser\n",
    "\n",
    "- [Netherlands Hadoop User Group](http://www.meetup.com/Netherlands-Hadoop-User-Group/)\n",
    "- [The Amsterdam Applied Machine Learning Meetup Group](http://www.meetup.com/The-Amsterdam-Applied-Machine-Learning-Meetup-Group/)\n",
    "- [Amsterdam Apache Spark Meetup](http://www.meetup.com/Amsterdam-Spark/)"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "# So, what is a meetup?"
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   "source": [
    "## About Meetup\n",
    "\n",
    "> Meetup is the world's largest network of local groups. Meetup makes it easy for anyone to organize a local group or find one of the thousands already meeting up face-to-face. More than 9,000 groups get together in local communities each day, each one with the goal of improving themselves or their communities.\n",
    "\n",
    "Source: http://www.meetup.com/about/"
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    "## Meetup's mission\n",
    "> Meetup's mission is to revitalize local community and help people around the world self-organize. Meetup believes that people can change their personal world, or the whole world, by organizing themselves into groups that are powerful enough to make a difference.\n",
    "\n",
    "Source: http://www.meetup.com/about/"
   ]
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    "building_meetup_html = '''\n",
    "<blockquote class=\"twitter-tweet\" data-lang=\"en\"><p lang=\"en\" dir=\"ltr\">All Meetups build community. \n",
    "<a href=\"https://twitter.com/WeServeKC\">@WeServeKC</a> takes the &#39;building&#39; part pretty literally. \n",
    "🏡❤️ <a href=\"https://t.co/jKnedwiXnl\">pic.twitter.com/jKnedwiXnl</a></p>&mdash; Meetup (@Meetup) \n",
    "<a href=\"https://twitter.com/Meetup/status/707663812284063744\">March 9, 2016</a></blockquote>\n",
    "<script async src=\"//platform.twitter.com/widgets.js\" charset=\"utf-8\"></script>\n",
    "'''"
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       "\n",
       "<blockquote class=\"twitter-tweet\" data-lang=\"en\"><p lang=\"en\" dir=\"ltr\">All Meetups build community. \n",
       "<a href=\"https://twitter.com/WeServeKC\">@WeServeKC</a> takes the &#39;building&#39; part pretty literally. \n",
       "🏡❤️ <a href=\"https://t.co/jKnedwiXnl\">pic.twitter.com/jKnedwiXnl</a></p>&mdash; Meetup (@Meetup) \n",
       "<a href=\"https://twitter.com/Meetup/status/707663812284063744\">March 9, 2016</a></blockquote>\n",
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    "# In short, meetup is...\n",
    "- A event based social network\n",
    "- Focused on Meetup **Events**, at which likeminded people meet in real life\n",
    "- Events are organised by **Groups**\n",
    "- Groups have **Members**, that may or may not attend events\n",
    "- Groups discuss particular **Topics**"
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   "source": [
    "# What we also use Meetup.com for..."
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   "source": [
    "### Host what we call Tech Meetups (single evening mini-conferences, freely accessible, often in exchange for recruitment SPAM)"
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    "ds_meetup_html = '''\n",
    "<blockquote class=\"twitter-tweet\" data-lang=\"en\"><p lang=\"en\" dir=\"ltr\">Great wrap up with drinks and pizza for our \n",
    "<a href=\"https://twitter.com/hashtag/DataScience?src=hash\">#DataScience</a> for \n",
    "<a href=\"https://twitter.com/hashtag/iot?src=hash\">#iot</a> meetup! Looking forward to the next one! \n",
    "<a href=\"https://t.co/CLFT0AEqci\">pic.twitter.com/CLFT0AEqci</a></p>&mdash; SHACK15 (@SHACK15LDN) \n",
    "<a href=\"https://twitter.com/SHACK15LDN/status/705494004411015168\">March 3, 2016</a></blockquote>\n",
    "<script async src=\"//platform.twitter.com/widgets.js\" charset=\"utf-8\"></script>\n",
    "'''"
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       "\n",
       "<blockquote class=\"twitter-tweet\" data-lang=\"en\"><p lang=\"en\" dir=\"ltr\">Great wrap up with drinks and pizza for our \n",
       "<a href=\"https://twitter.com/hashtag/DataScience?src=hash\">#DataScience</a> for \n",
       "<a href=\"https://twitter.com/hashtag/iot?src=hash\">#iot</a> meetup! Looking forward to the next one! \n",
       "<a href=\"https://t.co/CLFT0AEqci\">pic.twitter.com/CLFT0AEqci</a></p>&mdash; SHACK15 (@SHACK15LDN) \n",
       "<a href=\"https://twitter.com/SHACK15LDN/status/705494004411015168\">March 3, 2016</a></blockquote>\n",
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   "source": [
    "## Actually, that's what we use it for the most..."
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   "source": [
    "# Data taken by manually doing some API requests\n",
    "# Numbers are for Amsterdam meetups groups\n",
    "category_dist_frame = pd.DataFrame(\n",
    "[('Arts', 38),\n",
    " ('Book Clubs', 11),\n",
    " ('Business', 221),\n",
    " ('Auto', 4),\n",
    " ('Community', 26),\n",
    " ('Dancing', 18),\n",
    " ('Education', 39),\n",
    " ('Fashion', 3),\n",
    " ('Fitness', 54),\n",
    " ('Food & Drink', 40),\n",
    " ('Games', 25),\n",
    " ('Movements', 10),\n",
    " ('Well-being', 106),\n",
    " ('Crafts', 14),\n",
    " ('Languages', 74),\n",
    " ('LGBT', 5),\n",
    " ('Lifestyle', 6),\n",
    " ('Films', 12),\n",
    " ('Music', 40),\n",
    " ('Spirituality', 58),\n",
    " ('Outdoors', 35),\n",
    " ('Paranormal', 0),\n",
    " ('Moms & Dads', 20),\n",
    " ('Pets', 5),\n",
    " ('Photography', 16),\n",
    " ('Beliefs', 9),\n",
    " ('Sci fi', 4),\n",
    " ('Singles', 8),\n",
    " ('Social', 74),\n",
    " ('Sports', 31),\n",
    " ('Support', 6),\n",
    " ('Tech', 462),\n",
    " ('Writing', 14)],\n",
    "    columns=['name', 'count']).set_index('name').transpose()"
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0a9Z8DMDAgX05ceI4AOvWrWbx4kV8+ul6zp8/T2joaADmzZtFnz7d6Nu3Ox9/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      "text/plain": [
       "<matplotlib.figure.Figure at 0x108d4c748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "category_dist_frame.plot(kind='bar', legend=True, title=\"Number of Meetup Groups per Categorie\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Show our good intentions by starting a meetup group, but then slack of and fail to actually organise events"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "## 12% of all Amsterdam based Tech Meetup Groups"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# Load all Amsterdam groups with creation timestamp (divide by 1000 for ms to s)\n",
    "group_creation = neo.Graph().cypher.execute('''\n",
    "match (g:Group) where g:Amsterdam\n",
    "return g.created / 1000.0 as creation_timestamp\n",
    "''')\n",
    "\n",
    "# Create dataframe, resample by month using sum, fillna with 0 and then apply cummulative sum\n",
    "group_creation_frame = pd.DataFrame(\n",
    "    [\n",
    "        (datetime.fromtimestamp(r.creation_timestamp), 1)\n",
    "        for r in group_creation\n",
    "    ],\n",
    "    columns=['Group creation date', 'Total Tech Meetup groups in Amsterdam']\n",
    ").set_index('Group creation date').resample('m', how='sum').fillna(0).cumsum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "scrolled": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10952d748>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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DDz581s/7B5M45W/Lln2u+PghdUVUksaNG6/p0+/UgAFx9X7eAQEB8vf31/Tpd8rPz09X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\nkVkGAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x108e054a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "group_creation_frame.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "106 rows affected.\n"
     ]
    }
   ],
   "source": [
    "# Fetch creation timestamp of groups with zero events organised\n",
    "# relative to the maximum timestamp present in the database\n",
    "non_organising_result = %cypher \\\n",
    "                        match (x:Group) \\\n",
    "                        with max(x.created) as dataset_timestamp \\\n",
    "                        match (g:Group) \\\n",
    "                        where not g--(:Event) and g:Amsterdam \\\n",
    "                        return (dataset_timestamp - g.created) / (24*3600*1000) as `Age in days`\n",
    "\n",
    "non_organising_result_frame = non_organising_result.get_dataframe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x10959f978>]], dtype=object)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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DU7Rf/vKX+cu//Mt89atfzaBBg+wU+2XJkiV57LHHsmvXrrS0tOS0006zU/RY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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1095d0b38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Bins are (roughly): one week, one month, 0.5 year, 1 year, 2 years, 3 years\n",
    "non_organising_result_frame.hist(bins=[7,28,182,364,728,1092])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Abuse the Meetup.com recommender and e-mail marketing to notify people of events that are actually on Eventbrite"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "## 2.5% of all Tech Meetups (sample of 45K events)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Cool. How do we know all of this?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "## Meetup API\n",
    "- http://www.meetup.com/meetup_api/\n",
    "- Well documented\n",
    "- Very complete:\n",
    "    - Groups, Members, Events, RSVPs\n",
    "    - Venues\n",
    "    - Categories\n",
    "    - Comments\n",
    "    - Etc.\n",
    "- Reasonably generous rate limiting\n",
    "- REST-ful"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "    $ http GET https://api.meetup.com/2/groups \\\n",
    "> key==$MEETUP_API_KEY \\\n",
    "    > photo-host==public \\\n",
    "    > radius==100 \\\n",
    "    > category_id==34 \\\n",
    "    > country==NL \\\n",
    "    > city==Amsterdam \\\n",
    "    > page==3 \\\n",
    "    > only==\"name,organizer.name\"\n",
    "\n",
    "(Get [HTTPie](https://pypi.python.org/pypi/httpie) for CLI HTTP requests)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "    HTTP/1.1 200 OK\n",
    "    CF-RAY: 281e675a6223073d-AMS\n",
    "    Connection: keep-alive\n",
    "    Content-Encoding: gzip\n",
    "    Content-Length: 516\n",
    "    Content-Type: application/json;charset=utf-8\n",
    "    Date: Fri, 11 Mar 2016 10:43:09 GMT\n",
    "    ETag: \"125271063a0f125a91e27550645d54db\"\n",
    "    Server: cloudflare-nginx\n",
    "    Set-Cookie: __cfduid=d95e42f060ca7ec2183739b87b0ec44dd1457692988; expires=Sat, 11-Mar-17 10:43:08 GMT; path=/; domain=.meetup.com; HttpOnly\n",
    "    Vary: Accept-Encoding,User-Agent\n",
    "    X-Accepted-OAuth-Scopes: basic\n",
    "    X-Meetup-Request-ID: 581c305e-aae5-4469-8e56-4ab9d9344bf8\n",
    "    X-Meetup-server: api12\n",
    "    X-OAuth-Scopes: basic\n",
    "    X-RateLimit-Limit: 30\n",
    "    X-RateLimit-Remaining: 29\n",
    "    X-RateLimit-Reset: 10"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "    {\n",
    "        \"meta\": {\n",
    "            \"count\": 3, \n",
    "            \"description\": \"None\", \n",
    "            \"id\": \"\", \n",
    "            \"lat\": 52.369998931884766, \n",
    "            \"link\": \"https://api.meetup.com/2/groups\", \n",
    "            \"lon\": 4.889999866485596, \n",
    "            \"method\": \"Groups\", \n",
    "            \"next\": \"https://api.meetup.com/2/groups...[tokens redacted]\"\n",
    "            \"title\": \"Meetup Groups v2\", \n",
    "            \"total_count\": 897, \n",
    "            \"updated\": 1457692746000, \n",
    "            \"url\": \"https://api.meetup.com/2/groups...[tokens redacted]\"\n",
    "        }, "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "        \"results\": [\n",
    "            {\n",
    "                \"name\": \"Amsterdam OpenCoffee @ Launchdesk Boven de Balie\", \n",
    "                \"organizer\": {\n",
    "                    \"name\": \"Sander Koppelaar\"\n",
    "                }\n",
    "            }, \n",
    "            {\n",
    "                \"name\": \"OPEN COFFEE ROTTERDAM\", \n",
    "                \"organizer\": {\n",
    "                    \"name\": \"Roel Schiefelbusch\"\n",
    "                }\n",
    "            }, \n",
    "            {\n",
    "                \"name\": \"nlscrum - Scrum User Group Netherlands\", \n",
    "                \"organizer\": {\n",
    "                    \"name\": \"Nicole Belilos\"\n",
    "                }\n",
    "            }\n",
    "        ]\n",
    "    }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "%%sh --out response\n",
    "# Actual request example. Requires MEETUP_API_KEY env var\n",
    "\n",
    "http GET https://api.meetup.com/2/groups \\\n",
    "key==$MEETUP_API_KEY \\\n",
    "photo-host==public \\\n",
    "radius==100 \\\n",
    "category_id==34 \\\n",
    "country==NL \\\n",
    "city==Amsterdam \\\n",
    "page==5 \\\n",
    "only==\"name,organizer.name\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'name': 'Amsterdam OpenCoffee @ Launchdesk Boven de Balie',\n",
       "  'organizer': {'name': 'Sander Koppelaar'}},\n",
       " {'name': 'OPEN COFFEE ROTTERDAM',\n",
       "  'organizer': {'name': 'Roel Schiefelbusch'}},\n",
       " {'name': 'nlscrum - Scrum User Group Netherlands',\n",
       "  'organizer': {'name': 'Nicole Belilos'}},\n",
       " {'name': 'Limburg Web Entrepreneurs', 'organizer': {'name': 'Jeroen Moors'}},\n",
       " {'name': 'Android Developers Amsterdam',\n",
       "  'organizer': {'name': 'Jeroen Veger'}}]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Not printing metadata in result,\n",
    "# as it contains keys for re-running the requests\n",
    "json.loads(response)['results']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Setup\n",
    "\n",
    "- Scrape all information on groups, members, events, RSVPs and topics for\n",
    "- Query all groups within a 100-mile radius of a particular city, run for:\n",
    "    - Amsterdam\n",
    "    - Berlin\n",
    "    - London\n",
    "    - New York City\n",
    "    - Chicago\n",
    "    - San Francisco"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Setup\n",
    "\n",
    "- Run one city per day\n",
    "    - Scheduled with [Jenkins](https://jenkins-ci.org/) on a [Digital Ocean VPS](https://www.digitalocean.com/)\n",
    "    - Longest run takes about 19 hours (San Francisco)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Downloader can fail\n",
    "- API response is slow enough to NOT hit rate limiting without parallelism\n",
    "- Other failures occur\n",
    "    - Broken connections\n",
    "    - HTTP 500"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "### Created resumable downloader\n",
    "- Keep a list of REST URLs to download\n",
    "- Persisted in SQLite\n",
    "- Write downloaded blobs to SQLite\n",
    "- Scheduler retries up to 30 times, with 30 second pause"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Result: SQLite DB with all downloaded JSON blobs for Members, Groups, Events, RSVPs, Topics and Venues\n",
    "\n",
    "Problematic:\n",
    "- JSON blobs in SQLite are hard to query\n",
    "- No indexes\n",
    "- Doesn't naturally map to the domain\n",
    "\n",
    "Solution:\n",
    "- Transform JSON into a graph representation\n",
    "    - Add metadata to relationships in the graph\n",
    "- Store entire graph in a graph database: [Neo4j](http://neo4j.com/)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Neo4j\n",
    "\n",
    "- Graph Database, written in Java\n",
    "    - Stores a property graph\n",
    "    - Nodes (vertices) and relationships (edges) can have arbitrary properties\n",
    "    - Relationships are directed\n",
    "    - Traversal can ignore direction\n",
    "- Exposes a REST API for querying\n",
    "- Excellent Python support through [Py2Neo](http://py2neo.org/2.0/)\n",
    "- Great declarative query language: [Cypher](http://neo4j.com/docs/stable/cypher-query-lang.html)\n",
    "    - Feels like describing queries with ASCII-art\n",
    "- Basic Jupyter / Pandas integration (`%cypher` and `%%cypher`)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Neo4j\n",
    "\n",
    "# http://localhost:7474"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# py2neo\n",
    "\n",
    "`pip install py2neo`\n",
    "\n",
    "Homepage: http://py2neo.org/2.0/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Access graph database"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4150577"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Connects to localhost without authentication by default\n",
    "graph_db = neo.Graph()\n",
    "\n",
    "# Performs a REST call to the server, requests database size\n",
    "graph_db.size"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Query"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "    | event_name                                                                 | days_from_now\n",
       "----+----------------------------------------------------------------------------+---------------\n",
       "  1 | Analytics with Cassandra and PySpark                                       |           -18\n",
       "  2 | March meetup UTRECHT @Blendle                                              |             2\n",
       "  3 | GOTO Night: Stream Processing with Apache Flink and Mining Github          |             2\n",
       "  4 | 12e Editie Data Donderdag - 17 maart 2016                                  |            -4\n",
       "  5 | Parallel scikit-learn on YARN and Real Secure Hadoop                       |            30\n",
       "  6 | First meetup                                                               |             1\n",
       "  7 | 11e Editie Data Donderdag - 28 januari 2016                                |            44\n",
       "  8 | AmsteRdam: the SparkR edition                                              |           136\n",
       "  9 | 9e Editie Data Donderdag - 8 oktober                                       |           156\n",
       " 10 | Remote heart rate estimation and capturing video-wide temporal information |           171"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the last 10 Events that I went to\n",
    "cypher_result = graph_db.cypher.execute('''\n",
    "match (me:Member { name: \"Friso van Vollenhoven\"} )-[r:RSVP_ED]->(e:Event)\n",
    "where\n",
    "    me:Amsterdam and\n",
    "    r.response = \"yes\"\n",
    "return\n",
    "    e.name as event_name,\n",
    "    (timestamp() - e.time) / (24*3600*1000) as days_from_now\n",
    "order by e.created desc\n",
    "limit 10\n",
    "''')\n",
    "cypher_result"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Query result set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-18"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Iterable\n",
    "min( row.days_from_now for row in cypher_result )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "171"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# List like\n",
    "cypher_result[-1].days_from_now"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'First meetup'"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Records are also dict-like\n",
    "cypher_result[5]['event_name']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>event</th>\n",
       "      <th>days_from_now</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Analytics with Cassandra and PySpark</td>\n",
       "      <td>-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>March meetup UTRECHT @Blendle</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GOTO Night: Stream Processing with Apache Flin...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>12e Editie Data Donderdag - 17 maart 2016</td>\n",
       "      <td>-4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Parallel scikit-learn on YARN and Real Secure ...</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>First meetup</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>11e Editie Data Donderdag - 28 januari 2016</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>AmsteRdam: the SparkR edition</td>\n",
       "      <td>136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9e Editie Data Donderdag - 8 oktober</td>\n",
       "      <td>156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Remote heart rate estimation and capturing vid...</td>\n",
       "      <td>171</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               event  days_from_now\n",
       "0               Analytics with Cassandra and PySpark            -18\n",
       "1                      March meetup UTRECHT @Blendle              2\n",
       "2  GOTO Night: Stream Processing with Apache Flin...              2\n",
       "3          12e Editie Data Donderdag - 17 maart 2016             -4\n",
       "4  Parallel scikit-learn on YARN and Real Secure ...             30\n",
       "5                                       First meetup              1\n",
       "6        11e Editie Data Donderdag - 28 januari 2016             44\n",
       "7                      AmsteRdam: the SparkR edition            136\n",
       "8               9e Editie Data Donderdag - 8 oktober            156\n",
       "9  Remote heart rate estimation and capturing vid...            171"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Trivially construct a DataFrame\n",
    "pd.DataFrame(\n",
    "    ((r.event_name, r.days_from_now) for r in cypher_result),\n",
    "    columns=['event', 'days_from_now']\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Ipython Cypher\n",
    "\n",
    "`pip install ipython-cypher`\n",
    "\n",
    "Homepage: https://pypi.python.org/pypi/ipython-cypher/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Query and assign"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10 rows affected.\n"
     ]
    }
   ],
   "source": [
    "ipcypher_result = %cypher \\\n",
    "match (me:Member { name: \"Friso van Vollenhoven\"} )-[r:RSVP_ED]->(e:Event) \\\n",
    "where \\\n",
    "    me:Amsterdam and \\\n",
    "    r.response = \"yes\" \\\n",
    "return \\\n",
    "    e.name as event_name, \\\n",
    "    (timestamp() - e.time) / (24*3600*1000) as days_from_now \\\n",
    "order by e.created desc \\\n",
    "limit 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>event_name</th>\n",
       "        <th>days_from_now</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Analytics with Cassandra and PySpark</td>\n",
       "        <td>-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>March meetup UTRECHT @Blendle</td>\n",
       "        <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>GOTO Night: Stream Processing with Apache Flink and Mining Github</td>\n",
       "        <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>12e Editie Data Donderdag - 17 maart 2016</td>\n",
       "        <td>-4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Parallel scikit-learn on YARN and Real Secure Hadoop</td>\n",
       "        <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>First meetup</td>\n",
       "        <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>11e Editie Data Donderdag - 28 januari 2016</td>\n",
       "        <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>AmsteRdam: the SparkR edition</td>\n",
       "        <td>136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>9e Editie Data Donderdag - 8 oktober</td>\n",
       "        <td>156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Remote heart rate estimation and capturing video-wide temporal information</td>\n",
       "        <td>171</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[['Analytics with Cassandra and PySpark', -18],\n",
       " ['March meetup UTRECHT @Blendle', 2],\n",
       " ['GOTO Night: Stream Processing with Apache Flink and Mining Github', 2],\n",
       " ['12e Editie Data Donderdag - 17 maart 2016', -4],\n",
       " ['Parallel scikit-learn on YARN and Real Secure Hadoop', 30],\n",
       " ['First meetup', 1],\n",
       " ['11e Editie Data Donderdag - 28 januari 2016', 44],\n",
       " ['AmsteRdam: the SparkR edition', 136],\n",
       " ['9e Editie Data Donderdag - 8 oktober', 156],\n",
       " ['Remote heart rate estimation and capturing video-wide temporal information',\n",
       "  171]]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ipcypher_result"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### To DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>event_name</th>\n",
       "      <th>days_from_now</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Analytics with Cassandra and PySpark</td>\n",
       "      <td>-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>March meetup UTRECHT @Blendle</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GOTO Night: Stream Processing with Apache Flin...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>12e Editie Data Donderdag - 17 maart 2016</td>\n",
       "      <td>-4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Parallel scikit-learn on YARN and Real Secure ...</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>First meetup</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>11e Editie Data Donderdag - 28 januari 2016</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>AmsteRdam: the SparkR edition</td>\n",
       "      <td>136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9e Editie Data Donderdag - 8 oktober</td>\n",
       "      <td>156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Remote heart rate estimation and capturing vid...</td>\n",
       "      <td>171</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          event_name  days_from_now\n",
       "0               Analytics with Cassandra and PySpark            -18\n",
       "1                      March meetup UTRECHT @Blendle              2\n",
       "2  GOTO Night: Stream Processing with Apache Flin...              2\n",
       "3          12e Editie Data Donderdag - 17 maart 2016             -4\n",
       "4  Parallel scikit-learn on YARN and Real Secure ...             30\n",
       "5                                       First meetup              1\n",
       "6        11e Editie Data Donderdag - 28 januari 2016             44\n",
       "7                      AmsteRdam: the SparkR edition            136\n",
       "8               9e Editie Data Donderdag - 8 oktober            156\n",
       "9  Remote heart rate estimation and capturing vid...            171"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ipcypher_result.get_dataframe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Cell level query magic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>event_name</th>\n",
       "        <th>days_from_now</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Analytics with Cassandra and PySpark</td>\n",
       "        <td>-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>March meetup UTRECHT @Blendle</td>\n",
       "        <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>GOTO Night: Stream Processing with Apache Flink and Mining Github</td>\n",
       "        <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>12e Editie Data Donderdag - 17 maart 2016</td>\n",
       "        <td>-4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Parallel scikit-learn on YARN and Real Secure Hadoop</td>\n",
       "        <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>First meetup</td>\n",
       "        <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>11e Editie Data Donderdag - 28 januari 2016</td>\n",
       "        <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>AmsteRdam: the SparkR edition</td>\n",
       "        <td>136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>9e Editie Data Donderdag - 8 oktober</td>\n",
       "        <td>156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Remote heart rate estimation and capturing video-wide temporal information</td>\n",
       "        <td>171</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[['Analytics with Cassandra and PySpark', -18],\n",
       " ['March meetup UTRECHT @Blendle', 2],\n",
       " ['GOTO Night: Stream Processing with Apache Flink and Mining Github', 2],\n",
       " ['12e Editie Data Donderdag - 17 maart 2016', -4],\n",
       " ['Parallel scikit-learn on YARN and Real Secure Hadoop', 30],\n",
       " ['First meetup', 1],\n",
       " ['11e Editie Data Donderdag - 28 januari 2016', 44],\n",
       " ['AmsteRdam: the SparkR edition', 136],\n",
       " ['9e Editie Data Donderdag - 8 oktober', 156],\n",
       " ['Remote heart rate estimation and capturing video-wide temporal information',\n",
       "  171]]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%cypher\n",
    "match (me:Member { name: \"Friso van Vollenhoven\"} )-[r:RSVP_ED]->(e:Event)\n",
    "where\n",
    "    me:Amsterdam and\n",
    "    r.response = \"yes\"\n",
    "return e.name as event_name, (timestamp() - e.time) / (24*3600*1000) as days_from_now\n",
    "order by e.created desc\n",
    "limit 10"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Some examples...\n",
    "\n",
    "Things that we can now trivially do."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### List of venues in Amsterdam, sorted by binned median event size and number of events hosted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false,
    "scrolled": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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       "<table>\n",
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       "        <th>address</th>\n",
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       "        <th>median_event_size</th>\n",
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       "    <tr>\n",
       "        <td>Tolhuistuin</td>\n",
       "        <td>Tolhuisweg 2 (Amsterdam Noord)</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>310</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;Software-Circus&#x27;]</td>\n",
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       "        <td>Impact Hub Amsterdam</td>\n",
       "        <td>Westerpark, Haarlemmerweg 10C</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>266</td>\n",
       "        <td>3</td>\n",
       "        <td>[&#x27;Data-Science-Amsterdam&#x27;, &#x27;Big-Data-Amsterdam&#x27;]</td>\n",
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       "        <td>The Hoxton</td>\n",
       "        <td>Herengracht 255, 1016BJ</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>221</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;GlugAmsterdam&#x27;]</td>\n",
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       "    <tr>\n",
       "        <td>Hogeschool van Amsterdam</td>\n",
       "        <td>Wibautstraat 2-4, 1091 GM</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>286</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;AmsterdamUX&#x27;]</td>\n",
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       "        <td>Mirabeau</td>\n",
       "        <td>H.J.E. Wenckebachweg 100</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>215</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;AmsterdamUX&#x27;]</td>\n",
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       "        <td>Koninklijk Instituut voor de Tropen (Kleine Zaal)</td>\n",
       "        <td>Linnaeusstraat 2</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>272</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;SingularityUNL&#x27;]</td>\n",
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       "    <tr>\n",
       "        <td>EclecticIQ</td>\n",
       "        <td>Leidsegracht 105</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>212</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;AmsterdamUX&#x27;]</td>\n",
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       "    <tr>\n",
       "        <td>Science Park 904, room H0.08</td>\n",
       "        <td>Science Park 904</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>265</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;Amsterdam-Data-Science&#x27;]</td>\n",
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       "    <tr>\n",
       "        <td>Transformatorhuis | Westergasfabriek</td>\n",
       "        <td>Klönneplein, 2, 1014 DD Amsterdam</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>249</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;Docker-Randstad&#x27;]</td>\n",
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       "        <td>Big room</td>\n",
       "        <td>Reguliersdwarsstraat 50</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>207</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;Amsterdam-Python-Meetup-Group&#x27;]</td>\n",
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       "        <td>Artis Zoo</td>\n",
       "        <td>Plantage Kerklaan 38HS</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>231</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;SingularityUNL&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Info.nl</td>\n",
       "        <td>Sint Antoniesbreestraat 16 1011 HB</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>130</td>\n",
       "        <td>17</td>\n",
       "        <td>[&#x27;Lean-UX-Amsterdam&#x27;, &#x27;Docker-Randstad&#x27;, &#x27;Behavior-Design-AMS&#x27;, &#x27;Software-Circus&#x27;, &#x27;Digital-Museum-Network-Amsterdam&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Publitas.com HQ</td>\n",
       "        <td>Zeeburgerpad 5, 1018 AH</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>114</td>\n",
       "        <td>12</td>\n",
       "        <td>[&#x27;Frontend-Developer-Meetup-Amsterdam&#x27;, &#x27;AmsterdamUX&#x27;, &#x27;Amsterdam-HTML-CSS&#x27;, &#x27;AmsterdamJS&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>thefrontendlab HQ</td>\n",
       "        <td>Herengracht 66</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>139</td>\n",
       "        <td>5</td>\n",
       "        <td>[&#x27;AngularJS-Amsterdam-Meetup&#x27;, &#x27;Frontend-Developer-Meetup-Amsterdam&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Usabilla (New office)</td>\n",
       "        <td>Rokin 16, 1012 KR Amsterdam, Netherlands. </td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>115</td>\n",
       "        <td>4</td>\n",
       "        <td>[&#x27;Growth-Hackers-Amsterdam&#x27;, &#x27;AWS-Amsterdam&#x27;, &#x27;Webcrafters&#x27;, &#x27;AngularJS-Amsterdam-Meetup&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Publitas</td>\n",
       "        <td>Zeeburgerpad 5</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>107</td>\n",
       "        <td>3</td>\n",
       "        <td>[&#x27;RailsGirls-NL&#x27;, &#x27;amsnode&#x27;, &#x27;JavaScript-MVC-Meetup-Amsterdam&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Elasticsearch HQ</td>\n",
       "        <td>Rijnsburgstraat 9-11</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>116</td>\n",
       "        <td>3</td>\n",
       "        <td>[&#x27;Elastic-NL&#x27;]</td>\n",
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       "        <td>Vastgoeddata</td>\n",
       "        <td>Vlaardingenlaan 15</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>102</td>\n",
       "        <td>2</td>\n",
       "        <td>[&#x27;AmsterdamPHP&#x27;]</td>\n",
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       "        <td>Osudio</td>\n",
       "        <td>De Ruyterkade 6 (just west of Central Station)</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>115</td>\n",
       "        <td>2</td>\n",
       "        <td>[&#x27;AmsterdamUX&#x27;, &#x27;Amsterdam-UX-Cocktail-Hours&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Up2</td>\n",
       "        <td>Sarphatistraat 53, 1018 EW</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>110</td>\n",
       "        <td>2</td>\n",
       "        <td>[&#x27;AmsterdamPHP&#x27;]</td>\n",
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       "        <td>WeWork Metropol</td>\n",
       "        <td>WEESPERSTRAAT 61-105, AMSTERDAM, 1018VN</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>102</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;Growth-Hackers-Amsterdam&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Easytobook.com</td>\n",
       "        <td>Weteringschans 109, 5th floor</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>111</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;ProductTank-AMS&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>De Voorhoede</td>\n",
       "        <td>Rijnsburgstraat 9,1059 AT Amsterdam</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>107</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;Dutch-AngularJS-group&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Amsterdam Connected </td>\n",
       "        <td>Paasheuvelweg 25</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>121</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;PermanentBeta&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Aubergine IT</td>\n",
       "        <td>Sarphatistraat, 370 C22 1018 GW Amsterdam</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>146</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;AmsterdamJS&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>KPN</td>\n",
       "        <td>Teleportboulevard 121</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>176</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;Docker-Randstad&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>freedomlab</td>\n",
       "        <td>Plantage Middenlaan 62</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>149</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;SingularityUNL&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Wercker</td>\n",
       "        <td>Jan Evertsenstraat 761</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>193</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;Docker-Randstad&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Room 01A40, The Muller Lulofshuis</td>\n",
       "        <td>Wibautstraat 5a</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>137</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;Amsterdam-Data-Science&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Pllek</td>\n",
       "        <td>TT Neveritaweg 59, 1033 WB</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>127</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;React-Amsterdam&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>SDL Netherlands</td>\n",
       "        <td>Hoogoorddreef 60</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>121</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;Artificial-Intelligence-Amsterdam&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Searcle</td>\n",
       "        <td>Kerkstraat 342-344 hs, Amsterdam</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>100</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;CocoaHeadsNL&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>The Cloakroom</td>\n",
       "        <td>Reguliersdwarsstraat 50</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>148</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;AngularJS-Amsterdam-Meetup&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Wirelab</td>\n",
       "        <td>Passeerdersgracht 18</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>114</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;AmsterdamUX&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Trifork NL</td>\n",
       "        <td>Rijnsburgstraat 9-11</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>120</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;AmsterdamUX&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Funda</td>\n",
       "        <td> Huys Europa, Piet Heinkade 167-173</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>113</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;UX-NL-Meetup&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Bux HQ</td>\n",
       "        <td>Keizersgracht 585</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>131</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;Elastic-NL&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Adyen</td>\n",
       "        <td>Simon Carmiggeltstraat 6-50</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>116</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;AmsterdamUX&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Jungleminds</td>\n",
       "        <td>Grasweg 79 1031 HX</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>184</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;AmsterdamUX&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Fibéo online marktonderzoek</td>\n",
       "        <td>Herengracht 440 1017 BZ</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>190</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;AmsterdamUX&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Marineterrein Amsterdam</td>\n",
       "        <td>Kattenburgerstraat 5 - Kattenburgerzaal, Poortgebouw</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>102</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;BitcoinWednesday&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Virtuagym</td>\n",
       "        <td>Herengracht 250, 1016 BV </td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>100</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;AmsterdamPHP&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Github (WeWork office)</td>\n",
       "        <td>Weteringschans 165</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>157</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;AmsterdamPHP&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Us Media</td>\n",
       "        <td>Danzigerkade 221</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>101</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;AmsterdamUX&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>VondelCS</td>\n",
       "        <td>Vondelpark 3, 1071 AA, Amsterdam </td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>151</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;Appsterdam&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Persgroep Online Service</td>\n",
       "        <td>Mt. Lincolnweg 40</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>118</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;AmsterdamPHP&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Accenture Amsterdam</td>\n",
       "        <td>Gustav Mahlerplein 90, 1082 MA </td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>135</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;IoT-NL&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>De wiskunde kamer</td>\n",
       "        <td>Eerste Jacob van Campenstraat 59</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>139</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;Docker-Randstad&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Academisch Medisch Centrum</td>\n",
       "        <td>Meibergdreef 9</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>123</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;Behavior-Design-AMS&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Kohnstammhuis</td>\n",
       "        <td>Wibautstraat 2</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>138</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;CocoaHeadsNL&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>WTC, Conference Center Amsterdam</td>\n",
       "        <td>Strawinskylaan 77, 1077 XW Amsterdam</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>132</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;JavaScript-MVC-Meetup-Amsterdam&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>neocles.io</td>\n",
       "        <td>Vijzelstraat 68</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>170</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;AngularJS-Amsterdam-Meetup&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Desmet Studio&#x27;s</td>\n",
       "        <td>Plantage Middenlaan 4a</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>137</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;Fast-Moving-Targets&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>NH Grand Hotel Krasnapolsky </td>\n",
       "        <td>Dam 9</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>117</td>\n",
       "        <td>1</td>\n",
       "        <td>[&#x27;Netherlands-Hadoop-User-Group&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Cafe Bax</td>\n",
       "        <td>Ten Katestraat 119</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>9</td>\n",
       "        <td>250</td>\n",
       "        <td>[&#x27;Appsterdam&#x27;, &#x27;AmsGeoDrinks&#x27;, &#x27;Appril&#x27;, &#x27;OSGeoNL&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Glimworm HQ</td>\n",
       "        <td>Eerste Weteringplantsoen 8</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>21</td>\n",
       "        <td>184</td>\n",
       "        <td>[&#x27;WordPress-Amsterdam&#x27;, &#x27;Appsterdam&#x27;, &#x27;sensemakersams&#x27;, &#x27;Push2Press-Amsterdam&#x27;, &#x27;TitaniumNL&#x27;, &#x27;Continuous-Delivery-Amsterdam&#x27;, &#x27;graphdb-netherlands&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Waag Society</td>\n",
       "        <td>Nieuwmarkt 4</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>7</td>\n",
       "        <td>166</td>\n",
       "        <td>[&#x27;Dutch-DIY-Bio&#x27;, &#x27;Maptime-AMS&#x27;, &#x27;Amsterdam-Grasshoppers&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Appsterdam HQ @ A Lab</td>\n",
       "        <td>Overhoeksplein 2, 1031 KS</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>9</td>\n",
       "        <td>157</td>\n",
       "        <td>[&#x27;Appsterdam&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>The Coffee Room</td>\n",
       "        <td>Kinkerstraat 110</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>6</td>\n",
       "        <td>128</td>\n",
       "        <td>[&#x27;Appsterdam&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Appsterdam Centraal</td>\n",
       "        <td>Weteringschans 28</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>13</td>\n",
       "        <td>72</td>\n",
       "        <td>[&#x27;Appsterdam&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Cafe de Balie</td>\n",
       "        <td>Kleine-Gartmanplantsoen 10</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>56</td>\n",
       "        <td>66</td>\n",
       "        <td>[&#x27;ocamsterdam&#x27;, &#x27;Amsterdam-Futurist-Society&#x27;, &#x27;Amsterdam-WordPress-Meetup&#x27;, &#x27;Elastic-NL&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Pakhuis de Zwijger</td>\n",
       "        <td>Piet Heinkade 179</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>26</td>\n",
       "        <td>65</td>\n",
       "        <td>[&#x27;DevOpsAmsterdam&#x27;, &#x27;Appsterdam&#x27;, &#x27;Appril&#x27;, &#x27;Openstack-Amsterdam&#x27;, &#x27;graphdb-netherlands&#x27;, &#x27;Amsterdam-Smart-Citizens-Lab&#x27;, &#x27;Android-Developers-Camp-Amsterdam&#x27;, &#x27;Ground3d&#x27;, &#x27;Fast-Moving-Targets&#x27;, &#x27;HippoGetTogether&#x27;, &#x27;Docker-Randstad&#x27;, &#x27;AmsterdamUX&#x27;, &#x27;The-Amsterdam-Clojure-Meetup-Group&#x27;, &#x27;PaaS-BlueMix-Developers-in-Amsterdam&#x27;, &#x27;Benelux-Chef-Meetup&#x27;, &#x27;StartupWeekendAmsterdam&#x27;, &#x27;dutchmug&#x27;, &#x27;CocoaHeadsNL&#x27;, &#x27;slimmer-samenwerken-cafe&#x27;, &#x27;3dhubs-amsterdam&#x27;, &#x27;AmsGeoDrinks&#x27;, &#x27;Designer-Creator-Developer-Hangout&#x27;, &#x27;dutch-django-assocation&#x27;, &#x27;Dutch-OpenShift-User-Group&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Cafe De Doffer</td>\n",
       "        <td>Runstraat 12-14</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>88</td>\n",
       "        <td>64</td>\n",
       "        <td>[&#x27;Hackers-and-Founders-Amsterdam-NL&#x27;, &#x27;amsnode&#x27;, &#x27;JavaScript-MVC-Meetup-Amsterdam&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Backbase</td>\n",
       "        <td>Jacob Bontiusplaats 9</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>27</td>\n",
       "        <td>59</td>\n",
       "        <td>[&#x27;The-Amsterdam-Clojure-Meetup-Group&#x27;, &#x27;NLHTML5&#x27;, &#x27;DevOpsAmsterdam&#x27;, &#x27;Amsterdam-HTML-CSS&#x27;, &#x27;Reactive-Amsterdam&#x27;, &#x27;AmsterdamUX&#x27;, &#x27;The-Amsterdam-Applied-Machine-Learning-Meetup-Group&#x27;, &#x27;Agilegroup&#x27;, &#x27;Ansible-Benelux&#x27;, &#x27;CocoaHeadsNL&#x27;, &#x27;Ladies-that-UX-Amsterdam-Meetup&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Rockstart</td>\n",
       "        <td>Herengracht 182, 1016BR, Amsterdam</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>29</td>\n",
       "        <td>45</td>\n",
       "        <td>[&#x27;sensemakersams&#x27;, &#x27;Netherlands-Cassandra-Users&#x27;, &#x27;LeanStartupNL&#x27;, &#x27;CocoaHeadsNL&#x27;, &#x27;DataDonderdag&#x27;, &#x27;Amsterdam-Innovative-startups&#x27;, &#x27;amsnode&#x27;, &#x27;StartupWeekendAmsterdam&#x27;, &#x27;The-Amsterdam-Applied-Machine-Learning-Meetup-Group&#x27;, &#x27;AmsterdamUX&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Berlage Meet &amp; Workspace</td>\n",
       "        <td>Oudebrugsteeg 9</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>32</td>\n",
       "        <td>40</td>\n",
       "        <td>[&#x27;PermanentBeta&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>TechInc hackerspace at ACTA</td>\n",
       "        <td> Louwesweg 1</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>6</td>\n",
       "        <td>39</td>\n",
       "        <td>[&#x27;Technologia-Incognita&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>De Bekeerde Suster</td>\n",
       "        <td>Kloveniersburgwal 6</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>20</td>\n",
       "        <td>33</td>\n",
       "        <td>[&#x27;AmsterdamPHP&#x27;, &#x27;Hackers-and-Founders-Amsterdam-NL&#x27;, &#x27;Drupal-Amsterdam&#x27;, &#x27;Amsterdam-rb&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>allard pierson museum</td>\n",
       "        <td>Oude Turfmarkt 127</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>14</td>\n",
       "        <td>29</td>\n",
       "        <td>[&#x27;Digital-Museum-Network-Amsterdam&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Container Solutions</td>\n",
       "        <td>Korte  Leidsedwarsstraat 12</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>50</td>\n",
       "        <td>27</td>\n",
       "        <td>[&#x27;Ansible-Benelux&#x27;, &#x27;Terraform-Amsterdam&#x27;, &#x27;Software-Circus&#x27;, &#x27;Docker-Randstad&#x27;, &#x27;Kx-Amsterdam&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>De Stadskantine</td>\n",
       "        <td>Van Woustraat 120</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>3</td>\n",
       "        <td>27</td>\n",
       "        <td>[&#x27;Drupal-Amsterdam&#x27;, &#x27;TypeCrit-Amsterdam&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Glimworm HQ at the Marine Base</td>\n",
       "        <td>Marinekazerne Amsterdam, Kattenburgerstraat 5</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>66</td>\n",
       "        <td>23</td>\n",
       "        <td>[&#x27;sensemakersams&#x27;, &#x27;Amsterdam-IoT-Living-Lab&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Byte &amp; SupportDesk Headquarters</td>\n",
       "        <td>De Ruyterkade 139, 1011AC</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>23</td>\n",
       "        <td>21</td>\n",
       "        <td>[&#x27;Magento-user-Group-Amsterdam&#x27;, &#x27;Amsterdam-ZFS-Meetup-Group&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Mansveltschool</td>\n",
       "        <td>Karel Doormanstraat 125</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>9</td>\n",
       "        <td>21</td>\n",
       "        <td>[&#x27;Linux-Amsterdam&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Byte Headquarters</td>\n",
       "        <td>De Ruyterkade 139</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>51</td>\n",
       "        <td>20</td>\n",
       "        <td>[&#x27;Amsterdam-Python-Meetup-Group&#x27;, &#x27;Dutch-Puppet-User-Group&#x27;, &#x27;dutch-django-assocation&#x27;, &#x27;Openstack-Amsterdam&#x27;, &#x27;Openstack-Netherlands&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>&#x27;t Blauwe Theehuis, Vondelpark</td>\n",
       "        <td>Vondelpark 5</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>10</td>\n",
       "        <td>20</td>\n",
       "        <td>[&#x27;Amsterdam-Startup-Tech-Online-Running-Meetup&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Kapitein Zeppos</td>\n",
       "        <td>Gebed Zonder End 5</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>5</td>\n",
       "        <td>19</td>\n",
       "        <td>[&#x27;AmsGeoDrinks&#x27;, &#x27;OSGeoNL&#x27;, &#x27;Appsterdam&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>UvA Faculty of Science</td>\n",
       "        <td>Science Park 904</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>6</td>\n",
       "        <td>19</td>\n",
       "        <td>[&#x27;UvA-Minor-Programmeren&#x27;, &#x27;dutch-aug&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Proeflokaal de Prael</td>\n",
       "        <td>Oudezijds Armsteeg 26, 1012 GP</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>10</td>\n",
       "        <td>17</td>\n",
       "        <td>[&#x27;AmsterdamPHP&#x27;, &#x27;Drupal-Amsterdam&#x27;, &#x27;MySQL-User-Group-NL&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Wicked Grounds</td>\n",
       "        <td>Tweede Schinkelstraat 26</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>4</td>\n",
       "        <td>17</td>\n",
       "        <td>[&#x27;StartupAmsterdam&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Booking.com</td>\n",
       "        <td>Herengracht 597</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>80</td>\n",
       "        <td>16</td>\n",
       "        <td>[&#x27;Amsterdam-Spark&#x27;, &#x27;Elastic-NL&#x27;, &#x27;golang-amsterdam&#x27;, &#x27;MySQL-User-Group-NL&#x27;, &#x27;Rust-Amsterdam&#x27;, &#x27;Amsterdam-Front-End-Dev-Meetup&#x27;, &#x27;PyData-NL&#x27;, &#x27;CocoaHeadsNL&#x27;, &#x27;JavaScript-MVC-Meetup-Amsterdam&#x27;, &#x27;The-Amsterdam-Applied-Machine-Learning-Meetup-Group&#x27;, &#x27;AmsterdamUX&#x27;, &#x27;Ladies-that-UX-Amsterdam-Meetup&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>De Punt</td>\n",
       "        <td>Frans de Wollantstraat 84</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>18</td>\n",
       "        <td>16</td>\n",
       "        <td>[&#x27;Hackers-and-Designers-Amsterdam-NL&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>De Bierfabriek</td>\n",
       "        <td>Rokin 75</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>46</td>\n",
       "        <td>16</td>\n",
       "        <td>[&#x27;Amsterdam-rb&#x27;, &#x27;CocoaHeadsNL&#x27;, &#x27;Teaching-Code-Meetup&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Innovatielab</td>\n",
       "        <td>Vijzelstraat 20-7</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>25</td>\n",
       "        <td>15</td>\n",
       "        <td>[&#x27;Appsterdam&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Trifork</td>\n",
       "        <td>Rijnsburgstraat 9-11</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>54</td>\n",
       "        <td>15</td>\n",
       "        <td>[&#x27;Dutch-Spring-Meetup&#x27;, &#x27;Docker-Randstad&#x27;, &#x27;Dutch-AngularJS-group&#x27;, &#x27;Microservices-Amsterdam&#x27;, &#x27;JavaScript-MVC-Meetup-Amsterdam&#x27;, &#x27;fp-ams&#x27;, &#x27;Amsterdam-Java-User-Group&#x27;, &#x27;graphdb-netherlands&#x27;, &#x27;AmsterdamJS&#x27;, &#x27;Agilegroup&#x27;, &#x27;Elastic-NL&#x27;, &#x27;amsterdam-scala&#x27;, &#x27;Continuous-Delivery-Amsterdam&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Elmar Reizen</td>\n",
       "        <td>Herengracht 262 (5th floor)</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>39</td>\n",
       "        <td>15</td>\n",
       "        <td>[&#x27;Amsterdam-rb&#x27;, &#x27;The-Amsterdam-Clojure-Meetup-Group&#x27;, &#x27;amsterdam-scala&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Bouncespace (former booking.com building)</td>\n",
       "        <td>Weteringschans 28</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>16</td>\n",
       "        <td>14</td>\n",
       "        <td>[&#x27;Appsterdam&#x27;, &#x27;Appril&#x27;, &#x27;dutch-aug&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>inSided HQ</td>\n",
       "        <td>Singel 118</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>67</td>\n",
       "        <td>14</td>\n",
       "        <td>[&#x27;AWS-Amsterdam&#x27;, &#x27;Elastic-NL&#x27;, &#x27;Continuous-Delivery-Amsterdam&#x27;, &#x27;AmsterdamPHP&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Copernica</td>\n",
       "        <td> De Ruijterkade 112</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>47</td>\n",
       "        <td>14</td>\n",
       "        <td>[&#x27;The-Dutch-Cpp-Group&#x27;, &#x27;AmsterdamPHP&#x27;, &#x27;The-Amsterdam-Applied-Machine-Learning-Meetup-Group&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Online Webinar</td>\n",
       "        <td>On your computer</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>31</td>\n",
       "        <td>13</td>\n",
       "        <td>[&#x27;Amsterdam-Startup-Founder-101&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>WeWork Amsterdam</td>\n",
       "        <td>Weteringschans 165</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>43</td>\n",
       "        <td>13</td>\n",
       "        <td>[&#x27;Amsterdam-Startup-Boot-Businesses-Meetup&#x27;, &#x27;Amsterdam-Innovative-startups&#x27;, &#x27;SiliconDrinkabout020&#x27;, &#x27;The-Gamification-Meetup-Group&#x27;, &#x27;React-Amsterdam&#x27;, &#x27;InnovationHolland&#x27;, &#x27;AngularJS-Amsterdam-Meetup&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Cafe-Restaurant Polder</td>\n",
       "        <td>Science Park 205</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>64</td>\n",
       "        <td>13</td>\n",
       "        <td>[&#x27;The-Amsterdam-Applied-Machine-Learning-Meetup-Group&#x27;, &#x27;graphdb-netherlands&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Springest</td>\n",
       "        <td>Rokin 75</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>60</td>\n",
       "        <td>13</td>\n",
       "        <td>[&#x27;Holacracy-Meetup-Group&#x27;, &#x27;RailsGirls-NL&#x27;, &#x27;Amsterdam-rb&#x27;, &#x27;NLHTML5&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Q42 (Amsterdam Office)</td>\n",
       "        <td>Oostelijke Handelskade 749</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>46</td>\n",
       "        <td>12</td>\n",
       "        <td>[&#x27;JavaScript-MVC-Meetup-Amsterdam&#x27;, &#x27;Elastic-NL&#x27;, &#x27;fp-ams&#x27;, &#x27;amsterdam-scala&#x27;, &#x27;AWS-Amsterdam&#x27;, &#x27;girlcode&#x27;, &#x27;NLHTML5&#x27;, &#x27;Full-Stack-Development&#x27;, &#x27;RailsGirls-NL&#x27;, &#x27;CocoaHeadsNL&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Publitas.com</td>\n",
       "        <td>Zeeburgerpad 5</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>50</td>\n",
       "        <td>12</td>\n",
       "        <td>[&#x27;Amsterdam-rb&#x27;, &#x27;AWS-Amsterdam&#x27;, &#x27;Amsterdam-Elixir&#x27;, &#x27;React-Amsterdam&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>TTY Amsterdam</td>\n",
       "        <td>Kerkstraat 342-344 hs</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>56</td>\n",
       "        <td>12</td>\n",
       "        <td>[&#x27;Amsterdam-Riak&#x27;, &#x27;fp-ams&#x27;, &#x27;ProductTank-AMS&#x27;, &#x27;Dutch-Web-Operations-Meetup&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Cafe Batavia 1920</td>\n",
       "        <td>Prins Hendrikkade 85 </td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>30</td>\n",
       "        <td>12</td>\n",
       "        <td>[&#x27;AmsterdamPHP&#x27;, &#x27;Technologia-Incognita&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Rockstart</td>\n",
       "        <td>Herengracht 182</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>31</td>\n",
       "        <td>12</td>\n",
       "        <td>[&#x27;golang-amsterdam&#x27;, &#x27;TitaniumNL&#x27;, &#x27;Startup-Nation-Amsterdam&#x27;, &#x27;Amsterdam-Open-Code&#x27;, &#x27;EdTech-Amsterdam&#x27;, &#x27;Meteor-NL&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>App Ecosystem Tent @ #PICNIC12</td>\n",
       "        <td>IJpromenade 1</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>11</td>\n",
       "        <td>11</td>\n",
       "        <td>[&#x27;Appsterdam&#x27;, &#x27;sensemakersams&#x27;]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>WeWork Metropool</td>\n",
       "        <td>Weesperstraat 61-105</td>\n",
       "        <td>Amsterdam</td>\n",
       "        <td>29</td>\n",
       "        <td>11</td>\n",
       "        <td>[&#x27;Amsterdam-Startup-Boot-Businesses-Meetup&#x27;, &#x27;SiliconDrinkabout020&#x27;, &#x27;Amsterdam-rb&#x27;]</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[['Tolhuistuin',\n",
       "  'Tolhuisweg 2 (Amsterdam Noord)',\n",
       "  'Amsterdam',\n",
       "  310,\n",
       "  1,\n",
       "  ['Software-Circus']],\n",
       " ['Impact Hub Amsterdam',\n",
       "  'Westerpark, Haarlemmerweg 10C',\n",
       "  'Amsterdam',\n",
       "  266,\n",
       "  3,\n",
       "  ['Data-Science-Amsterdam', 'Big-Data-Amsterdam']],\n",
       " ['The Hoxton',\n",
       "  'Herengracht 255, 1016BJ',\n",
       "  'Amsterdam',\n",
       "  221,\n",
       "  1,\n",
       "  ['GlugAmsterdam']],\n",
       " ['Hogeschool van Amsterdam',\n",
       "  'Wibautstraat 2-4, 1091 GM',\n",
       "  'Amsterdam',\n",
       "  286,\n",
       "  1,\n",
       "  ['AmsterdamUX']],\n",
       " ['Mirabeau',\n",
       "  'H.J.E. Wenckebachweg 100',\n",
       "  'Amsterdam',\n",
       "  215,\n",
       "  1,\n",
       "  ['AmsterdamUX']],\n",
       " ['Koninklijk Instituut voor de Tropen (Kleine Zaal)',\n",
       "  'Linnaeusstraat 2',\n",
       "  'Amsterdam',\n",
       "  272,\n",
       "  1,\n",
       "  ['SingularityUNL']],\n",
       " ['EclecticIQ', 'Leidsegracht 105', 'Amsterdam', 212, 1, ['AmsterdamUX']],\n",
       " ['Science Park 904, room H0.08',\n",
       "  'Science Park 904',\n",
       "  'Amsterdam',\n",
       "  265,\n",
       "  1,\n",
       "  ['Amsterdam-Data-Science']],\n",
       " ['Transformatorhuis | Westergasfabriek',\n",
       "  'Klönneplein, 2, 1014 DD Amsterdam',\n",
       "  'Amsterdam',\n",
       "  249,\n",
       "  1,\n",
       "  ['Docker-Randstad']],\n",
       " ['Big room',\n",
       "  'Reguliersdwarsstraat 50',\n",
       "  'Amsterdam',\n",
       "  207,\n",
       "  1,\n",
       "  ['Amsterdam-Python-Meetup-Group']],\n",
       " ['Artis Zoo',\n",
       "  'Plantage Kerklaan 38HS',\n",
       "  'Amsterdam',\n",
       "  231,\n",
       "  1,\n",
       "  ['SingularityUNL']],\n",
       " ['Info.nl',\n",
       "  'Sint Antoniesbreestraat 16 1011 HB',\n",
       "  'Amsterdam',\n",
       "  130,\n",
       "  17,\n",
       "  ['Lean-UX-Amsterdam',\n",
       "   'Docker-Randstad',\n",
       "   'Behavior-Design-AMS',\n",
       "   'Software-Circus',\n",
       "   'Digital-Museum-Network-Amsterdam']],\n",
       " ['Publitas.com HQ',\n",
       "  'Zeeburgerpad 5, 1018 AH',\n",
       "  'Amsterdam',\n",
       "  114,\n",
       "  12,\n",
       "  ['Frontend-Developer-Meetup-Amsterdam',\n",
       "   'AmsterdamUX',\n",
       "   'Amsterdam-HTML-CSS',\n",
       "   'AmsterdamJS']],\n",
       " ['thefrontendlab HQ',\n",
       "  'Herengracht 66',\n",
       "  'Amsterdam',\n",
       "  139,\n",
       "  5,\n",
       "  ['AngularJS-Amsterdam-Meetup', 'Frontend-Developer-Meetup-Amsterdam']],\n",
       " ['Usabilla (New office)',\n",
       "  'Rokin 16, 1012 KR Amsterdam, Netherlands. ',\n",
       "  'Amsterdam',\n",
       "  115,\n",
       "  4,\n",
       "  ['Growth-Hackers-Amsterdam',\n",
       "   'AWS-Amsterdam',\n",
       "   'Webcrafters',\n",
       "   'AngularJS-Amsterdam-Meetup']],\n",
       " ['Publitas',\n",
       "  'Zeeburgerpad 5',\n",
       "  'Amsterdam',\n",
       "  107,\n",
       "  3,\n",
       "  ['RailsGirls-NL', 'amsnode', 'JavaScript-MVC-Meetup-Amsterdam']],\n",
       " ['Elasticsearch HQ',\n",
       "  'Rijnsburgstraat 9-11',\n",
       "  'Amsterdam',\n",
       "  116,\n",
       "  3,\n",
       "  ['Elastic-NL']],\n",
       " ['Vastgoeddata', 'Vlaardingenlaan 15', 'Amsterdam', 102, 2, ['AmsterdamPHP']],\n",
       " ['Osudio',\n",
       "  'De Ruyterkade 6 (just west of Central Station)',\n",
       "  'Amsterdam',\n",
       "  115,\n",
       "  2,\n",
       "  ['AmsterdamUX', 'Amsterdam-UX-Cocktail-Hours']],\n",
       " ['Up2', 'Sarphatistraat 53, 1018 EW', 'Amsterdam', 110, 2, ['AmsterdamPHP']],\n",
       " ['WeWork Metropol',\n",
       "  'WEESPERSTRAAT 61-105, AMSTERDAM, 1018VN',\n",
       "  'Amsterdam',\n",
       "  102,\n",
       "  1,\n",
       "  ['Growth-Hackers-Amsterdam']],\n",
       " ['Easytobook.com',\n",
       "  'Weteringschans 109, 5th floor',\n",
       "  'Amsterdam',\n",
       "  111,\n",
       "  1,\n",
       "  ['ProductTank-AMS']],\n",
       " ['De Voorhoede',\n",
       "  'Rijnsburgstraat 9,1059 AT Amsterdam',\n",
       "  'Amsterdam',\n",
       "  107,\n",
       "  1,\n",
       "  ['Dutch-AngularJS-group']],\n",
       " ['Amsterdam Connected ',\n",
       "  'Paasheuvelweg 25',\n",
       "  'Amsterdam',\n",
       "  121,\n",
       "  1,\n",
       "  ['PermanentBeta']],\n",
       " ['Aubergine IT',\n",
       "  'Sarphatistraat, 370 C22 1018 GW Amsterdam',\n",
       "  'Amsterdam',\n",
       "  146,\n",
       "  1,\n",
       "  ['AmsterdamJS']],\n",
       " ['KPN', 'Teleportboulevard 121', 'Amsterdam', 176, 1, ['Docker-Randstad']],\n",
       " ['freedomlab',\n",
       "  'Plantage Middenlaan 62',\n",
       "  'Amsterdam',\n",
       "  149,\n",
       "  1,\n",
       "  ['SingularityUNL']],\n",
       " ['Wercker',\n",
       "  'Jan Evertsenstraat 761',\n",
       "  'Amsterdam',\n",
       "  193,\n",
       "  1,\n",
       "  ['Docker-Randstad']],\n",
       " ['Room 01A40, The Muller Lulofshuis',\n",
       "  'Wibautstraat 5a',\n",
       "  'Amsterdam',\n",
       "  137,\n",
       "  1,\n",
       "  ['Amsterdam-Data-Science']],\n",
       " ['Pllek',\n",
       "  'TT Neveritaweg 59, 1033 WB',\n",
       "  'Amsterdam',\n",
       "  127,\n",
       "  1,\n",
       "  ['React-Amsterdam']],\n",
       " ['SDL Netherlands',\n",
       "  'Hoogoorddreef 60',\n",
       "  'Amsterdam',\n",
       "  121,\n",
       "  1,\n",
       "  ['Artificial-Intelligence-Amsterdam']],\n",
       " ['Searcle',\n",
       "  'Kerkstraat 342-344 hs, Amsterdam',\n",
       "  'Amsterdam',\n",
       "  100,\n",
       "  1,\n",
       "  ['CocoaHeadsNL']],\n",
       " ['The Cloakroom',\n",
       "  'Reguliersdwarsstraat 50',\n",
       "  'Amsterdam',\n",
       "  148,\n",
       "  1,\n",
       "  ['AngularJS-Amsterdam-Meetup']],\n",
       " ['Wirelab', 'Passeerdersgracht 18', 'Amsterdam', 114, 1, ['AmsterdamUX']],\n",
       " ['Trifork NL', 'Rijnsburgstraat 9-11', 'Amsterdam', 120, 1, ['AmsterdamUX']],\n",
       " ['Funda',\n",
       "  ' Huys Europa, Piet Heinkade 167-173',\n",
       "  'Amsterdam',\n",
       "  113,\n",
       "  1,\n",
       "  ['UX-NL-Meetup']],\n",
       " ['Bux HQ', 'Keizersgracht 585', 'Amsterdam', 131, 1, ['Elastic-NL']],\n",
       " ['Adyen',\n",
       "  'Simon Carmiggeltstraat 6-50',\n",
       "  'Amsterdam',\n",
       "  116,\n",
       "  1,\n",
       "  ['AmsterdamUX']],\n",
       " ['Jungleminds', 'Grasweg 79 1031 HX', 'Amsterdam', 184, 1, ['AmsterdamUX']],\n",
       " ['Fibéo online marktonderzoek',\n",
       "  'Herengracht 440 1017 BZ',\n",
       "  'Amsterdam',\n",
       "  190,\n",
       "  1,\n",
       "  ['AmsterdamUX']],\n",
       " ['Marineterrein Amsterdam',\n",
       "  'Kattenburgerstraat 5 - Kattenburgerzaal, Poortgebouw',\n",
       "  'Amsterdam',\n",
       "  102,\n",
       "  1,\n",
       "  ['BitcoinWednesday']],\n",
       " ['Virtuagym',\n",
       "  'Herengracht 250, 1016 BV ',\n",
       "  'Amsterdam',\n",
       "  100,\n",
       "  1,\n",
       "  ['AmsterdamPHP']],\n",
       " ['Github (WeWork office)',\n",
       "  'Weteringschans 165',\n",
       "  'Amsterdam',\n",
       "  157,\n",
       "  1,\n",
       "  ['AmsterdamPHP']],\n",
       " ['Us Media', 'Danzigerkade 221', 'Amsterdam', 101, 1, ['AmsterdamUX']],\n",
       " ['VondelCS',\n",
       "  'Vondelpark 3, 1071 AA, Amsterdam ',\n",
       "  'Amsterdam',\n",
       "  151,\n",
       "  1,\n",
       "  ['Appsterdam']],\n",
       " ['Persgroep Online Service',\n",
       "  'Mt. Lincolnweg 40',\n",
       "  'Amsterdam',\n",
       "  118,\n",
       "  1,\n",
       "  ['AmsterdamPHP']],\n",
       " ['Accenture Amsterdam',\n",
       "  'Gustav Mahlerplein 90, 1082 MA ',\n",
       "  'Amsterdam',\n",
       "  135,\n",
       "  1,\n",
       "  ['IoT-NL']],\n",
       " ['De wiskunde kamer',\n",
       "  'Eerste Jacob van Campenstraat 59',\n",
       "  'Amsterdam',\n",
       "  139,\n",
       "  1,\n",
       "  ['Docker-Randstad']],\n",
       " ['Academisch Medisch Centrum',\n",
       "  'Meibergdreef 9',\n",
       "  'Amsterdam',\n",
       "  123,\n",
       "  1,\n",
       "  ['Behavior-Design-AMS']],\n",
       " ['Kohnstammhuis', 'Wibautstraat 2', 'Amsterdam', 138, 1, ['CocoaHeadsNL']],\n",
       " ['WTC, Conference Center Amsterdam',\n",
       "  'Strawinskylaan 77, 1077 XW Amsterdam',\n",
       "  'Amsterdam',\n",
       "  132,\n",
       "  1,\n",
       "  ['JavaScript-MVC-Meetup-Amsterdam']],\n",
       " ['neocles.io',\n",
       "  'Vijzelstraat 68',\n",
       "  'Amsterdam',\n",
       "  170,\n",
       "  1,\n",
       "  ['AngularJS-Amsterdam-Meetup']],\n",
       " [\"Desmet Studio's\",\n",
       "  'Plantage Middenlaan 4a',\n",
       "  'Amsterdam',\n",
       "  137,\n",
       "  1,\n",
       "  ['Fast-Moving-Targets']],\n",
       " ['NH Grand Hotel Krasnapolsky ',\n",
       "  'Dam 9',\n",
       "  'Amsterdam',\n",
       "  117,\n",
       "  1,\n",
       "  ['Netherlands-Hadoop-User-Group']],\n",
       " ['Cafe Bax',\n",
       "  'Ten Katestraat 119',\n",
       "  'Amsterdam',\n",
       "  9,\n",
       "  250,\n",
       "  ['Appsterdam', 'AmsGeoDrinks', 'Appril', 'OSGeoNL']],\n",
       " ['Glimworm HQ',\n",
       "  'Eerste Weteringplantsoen 8',\n",
       "  'Amsterdam',\n",
       "  21,\n",
       "  184,\n",
       "  ['WordPress-Amsterdam',\n",
       "   'Appsterdam',\n",
       "   'sensemakersams',\n",
       "   'Push2Press-Amsterdam',\n",
       "   'TitaniumNL',\n",
       "   'Continuous-Delivery-Amsterdam',\n",
       "   'graphdb-netherlands']],\n",
       " ['Waag Society',\n",
       "  'Nieuwmarkt 4',\n",
       "  'Amsterdam',\n",
       "  7,\n",
       "  166,\n",
       "  ['Dutch-DIY-Bio', 'Maptime-AMS', 'Amsterdam-Grasshoppers']],\n",
       " ['Appsterdam HQ @ A Lab',\n",
       "  'Overhoeksplein 2, 1031 KS',\n",
       "  'Amsterdam',\n",
       "  9,\n",
       "  157,\n",
       "  ['Appsterdam']],\n",
       " ['The Coffee Room', 'Kinkerstraat 110', 'Amsterdam', 6, 128, ['Appsterdam']],\n",
       " ['Appsterdam Centraal',\n",
       "  'Weteringschans 28',\n",
       "  'Amsterdam',\n",
       "  13,\n",
       "  72,\n",
       "  ['Appsterdam']],\n",
       " ['Cafe de Balie',\n",
       "  'Kleine-Gartmanplantsoen 10',\n",
       "  'Amsterdam',\n",
       "  56,\n",
       "  66,\n",
       "  ['ocamsterdam',\n",
       "   'Amsterdam-Futurist-Society',\n",
       "   'Amsterdam-WordPress-Meetup',\n",
       "   'Elastic-NL']],\n",
       " ['Pakhuis de Zwijger',\n",
       "  'Piet Heinkade 179',\n",
       "  'Amsterdam',\n",
       "  26,\n",
       "  65,\n",
       "  ['DevOpsAmsterdam',\n",
       "   'Appsterdam',\n",
       "   'Appril',\n",
       "   'Openstack-Amsterdam',\n",
       "   'graphdb-netherlands',\n",
       "   'Amsterdam-Smart-Citizens-Lab',\n",
       "   'Android-Developers-Camp-Amsterdam',\n",
       "   'Ground3d',\n",
       "   'Fast-Moving-Targets',\n",
       "   'HippoGetTogether',\n",
       "   'Docker-Randstad',\n",
       "   'AmsterdamUX',\n",
       "   'The-Amsterdam-Clojure-Meetup-Group',\n",
       "   'PaaS-BlueMix-Developers-in-Amsterdam',\n",
       "   'Benelux-Chef-Meetup',\n",
       "   'StartupWeekendAmsterdam',\n",
       "   'dutchmug',\n",
       "   'CocoaHeadsNL',\n",
       "   'slimmer-samenwerken-cafe',\n",
       "   '3dhubs-amsterdam',\n",
       "   'AmsGeoDrinks',\n",
       "   'Designer-Creator-Developer-Hangout',\n",
       "   'dutch-django-assocation',\n",
       "   'Dutch-OpenShift-User-Group']],\n",
       " ['Cafe De Doffer',\n",
       "  'Runstraat 12-14',\n",
       "  'Amsterdam',\n",
       "  88,\n",
       "  64,\n",
       "  ['Hackers-and-Founders-Amsterdam-NL',\n",
       "   'amsnode',\n",
       "   'JavaScript-MVC-Meetup-Amsterdam']],\n",
       " ['Backbase',\n",
       "  'Jacob Bontiusplaats 9',\n",
       "  'Amsterdam',\n",
       "  27,\n",
       "  59,\n",
       "  ['The-Amsterdam-Clojure-Meetup-Group',\n",
       "   'NLHTML5',\n",
       "   'DevOpsAmsterdam',\n",
       "   'Amsterdam-HTML-CSS',\n",
       "   'Reactive-Amsterdam',\n",
       "   'AmsterdamUX',\n",
       "   'The-Amsterdam-Applied-Machine-Learning-Meetup-Group',\n",
       "   'Agilegroup',\n",
       "   'Ansible-Benelux',\n",
       "   'CocoaHeadsNL',\n",
       "   'Ladies-that-UX-Amsterdam-Meetup']],\n",
       " ['Rockstart',\n",
       "  'Herengracht 182, 1016BR, Amsterdam',\n",
       "  'Amsterdam',\n",
       "  29,\n",
       "  45,\n",
       "  ['sensemakersams',\n",
       "   'Netherlands-Cassandra-Users',\n",
       "   'LeanStartupNL',\n",
       "   'CocoaHeadsNL',\n",
       "   'DataDonderdag',\n",
       "   'Amsterdam-Innovative-startups',\n",
       "   'amsnode',\n",
       "   'StartupWeekendAmsterdam',\n",
       "   'The-Amsterdam-Applied-Machine-Learning-Meetup-Group',\n",
       "   'AmsterdamUX']],\n",
       " ['Berlage Meet & Workspace',\n",
       "  'Oudebrugsteeg 9',\n",
       "  'Amsterdam',\n",
       "  32,\n",
       "  40,\n",
       "  ['PermanentBeta']],\n",
       " ['TechInc hackerspace at ACTA',\n",
       "  ' Louwesweg 1',\n",
       "  'Amsterdam',\n",
       "  6,\n",
       "  39,\n",
       "  ['Technologia-Incognita']],\n",
       " ['De Bekeerde Suster',\n",
       "  'Kloveniersburgwal 6',\n",
       "  'Amsterdam',\n",
       "  20,\n",
       "  33,\n",
       "  ['AmsterdamPHP',\n",
       "   'Hackers-and-Founders-Amsterdam-NL',\n",
       "   'Drupal-Amsterdam',\n",
       "   'Amsterdam-rb']],\n",
       " ['allard pierson museum',\n",
       "  'Oude Turfmarkt 127',\n",
       "  'Amsterdam',\n",
       "  14,\n",
       "  29,\n",
       "  ['Digital-Museum-Network-Amsterdam']],\n",
       " ['Container Solutions',\n",
       "  'Korte  Leidsedwarsstraat 12',\n",
       "  'Amsterdam',\n",
       "  50,\n",
       "  27,\n",
       "  ['Ansible-Benelux',\n",
       "   'Terraform-Amsterdam',\n",
       "   'Software-Circus',\n",
       "   'Docker-Randstad',\n",
       "   'Kx-Amsterdam']],\n",
       " ['De Stadskantine',\n",
       "  'Van Woustraat 120',\n",
       "  'Amsterdam',\n",
       "  3,\n",
       "  27,\n",
       "  ['Drupal-Amsterdam', 'TypeCrit-Amsterdam']],\n",
       " ['Glimworm HQ at the Marine Base',\n",
       "  'Marinekazerne Amsterdam, Kattenburgerstraat 5',\n",
       "  'Amsterdam',\n",
       "  66,\n",
       "  23,\n",
       "  ['sensemakersams', 'Amsterdam-IoT-Living-Lab']],\n",
       " ['Byte & SupportDesk Headquarters',\n",
       "  'De Ruyterkade 139, 1011AC',\n",
       "  'Amsterdam',\n",
       "  23,\n",
       "  21,\n",
       "  ['Magento-user-Group-Amsterdam', 'Amsterdam-ZFS-Meetup-Group']],\n",
       " ['Mansveltschool',\n",
       "  'Karel Doormanstraat 125',\n",
       "  'Amsterdam',\n",
       "  9,\n",
       "  21,\n",
       "  ['Linux-Amsterdam']],\n",
       " ['Byte Headquarters',\n",
       "  'De Ruyterkade 139',\n",
       "  'Amsterdam',\n",
       "  51,\n",
       "  20,\n",
       "  ['Amsterdam-Python-Meetup-Group',\n",
       "   'Dutch-Puppet-User-Group',\n",
       "   'dutch-django-assocation',\n",
       "   'Openstack-Amsterdam',\n",
       "   'Openstack-Netherlands']],\n",
       " [\"'t Blauwe Theehuis, Vondelpark\",\n",
       "  'Vondelpark 5',\n",
       "  'Amsterdam',\n",
       "  10,\n",
       "  20,\n",
       "  ['Amsterdam-Startup-Tech-Online-Running-Meetup']],\n",
       " ['Kapitein Zeppos',\n",
       "  'Gebed Zonder End 5',\n",
       "  'Amsterdam',\n",
       "  5,\n",
       "  19,\n",
       "  ['AmsGeoDrinks', 'OSGeoNL', 'Appsterdam']],\n",
       " ['UvA Faculty of Science',\n",
       "  'Science Park 904',\n",
       "  'Amsterdam',\n",
       "  6,\n",
       "  19,\n",
       "  ['UvA-Minor-Programmeren', 'dutch-aug']],\n",
       " ['Proeflokaal de Prael',\n",
       "  'Oudezijds Armsteeg 26, 1012 GP',\n",
       "  'Amsterdam',\n",
       "  10,\n",
       "  17,\n",
       "  ['AmsterdamPHP', 'Drupal-Amsterdam', 'MySQL-User-Group-NL']],\n",
       " ['Wicked Grounds',\n",
       "  'Tweede Schinkelstraat 26',\n",
       "  'Amsterdam',\n",
       "  4,\n",
       "  17,\n",
       "  ['StartupAmsterdam']],\n",
       " ['Booking.com',\n",
       "  'Herengracht 597',\n",
       "  'Amsterdam',\n",
       "  80,\n",
       "  16,\n",
       "  ['Amsterdam-Spark',\n",
       "   'Elastic-NL',\n",
       "   'golang-amsterdam',\n",
       "   'MySQL-User-Group-NL',\n",
       "   'Rust-Amsterdam',\n",
       "   'Amsterdam-Front-End-Dev-Meetup',\n",
       "   'PyData-NL',\n",
       "   'CocoaHeadsNL',\n",
       "   'JavaScript-MVC-Meetup-Amsterdam',\n",
       "   'The-Amsterdam-Applied-Machine-Learning-Meetup-Group',\n",
       "   'AmsterdamUX',\n",
       "   'Ladies-that-UX-Amsterdam-Meetup']],\n",
       " ['De Punt',\n",
       "  'Frans de Wollantstraat 84',\n",
       "  'Amsterdam',\n",
       "  18,\n",
       "  16,\n",
       "  ['Hackers-and-Designers-Amsterdam-NL']],\n",
       " ['De Bierfabriek',\n",
       "  'Rokin 75',\n",
       "  'Amsterdam',\n",
       "  46,\n",
       "  16,\n",
       "  ['Amsterdam-rb', 'CocoaHeadsNL', 'Teaching-Code-Meetup']],\n",
       " ['Innovatielab', 'Vijzelstraat 20-7', 'Amsterdam', 25, 15, ['Appsterdam']],\n",
       " ['Trifork',\n",
       "  'Rijnsburgstraat 9-11',\n",
       "  'Amsterdam',\n",
       "  54,\n",
       "  15,\n",
       "  ['Dutch-Spring-Meetup',\n",
       "   'Docker-Randstad',\n",
       "   'Dutch-AngularJS-group',\n",
       "   'Microservices-Amsterdam',\n",
       "   'JavaScript-MVC-Meetup-Amsterdam',\n",
       "   'fp-ams',\n",
       "   'Amsterdam-Java-User-Group',\n",
       "   'graphdb-netherlands',\n",
       "   'AmsterdamJS',\n",
       "   'Agilegroup',\n",
       "   'Elastic-NL',\n",
       "   'amsterdam-scala',\n",
       "   'Continuous-Delivery-Amsterdam']],\n",
       " ['Elmar Reizen',\n",
       "  'Herengracht 262 (5th floor)',\n",
       "  'Amsterdam',\n",
       "  39,\n",
       "  15,\n",
       "  ['Amsterdam-rb', 'The-Amsterdam-Clojure-Meetup-Group', 'amsterdam-scala']],\n",
       " ['Bouncespace (former booking.com building)',\n",
       "  'Weteringschans 28',\n",
       "  'Amsterdam',\n",
       "  16,\n",
       "  14,\n",
       "  ['Appsterdam', 'Appril', 'dutch-aug']],\n",
       " ['inSided HQ',\n",
       "  'Singel 118',\n",
       "  'Amsterdam',\n",
       "  67,\n",
       "  14,\n",
       "  ['AWS-Amsterdam',\n",
       "   'Elastic-NL',\n",
       "   'Continuous-Delivery-Amsterdam',\n",
       "   'AmsterdamPHP']],\n",
       " ['Copernica',\n",
       "  ' De Ruijterkade 112',\n",
       "  'Amsterdam',\n",
       "  47,\n",
       "  14,\n",
       "  ['The-Dutch-Cpp-Group',\n",
       "   'AmsterdamPHP',\n",
       "   'The-Amsterdam-Applied-Machine-Learning-Meetup-Group']],\n",
       " ['Online Webinar',\n",
       "  'On your computer',\n",
       "  'Amsterdam',\n",
       "  31,\n",
       "  13,\n",
       "  ['Amsterdam-Startup-Founder-101']],\n",
       " ['WeWork Amsterdam',\n",
       "  'Weteringschans 165',\n",
       "  'Amsterdam',\n",
       "  43,\n",
       "  13,\n",
       "  ['Amsterdam-Startup-Boot-Businesses-Meetup',\n",
       "   'Amsterdam-Innovative-startups',\n",
       "   'SiliconDrinkabout020',\n",
       "   'The-Gamification-Meetup-Group',\n",
       "   'React-Amsterdam',\n",
       "   'InnovationHolland',\n",
       "   'AngularJS-Amsterdam-Meetup']],\n",
       " ['Cafe-Restaurant Polder',\n",
       "  'Science Park 205',\n",
       "  'Amsterdam',\n",
       "  64,\n",
       "  13,\n",
       "  ['The-Amsterdam-Applied-Machine-Learning-Meetup-Group',\n",
       "   'graphdb-netherlands']],\n",
       " ['Springest',\n",
       "  'Rokin 75',\n",
       "  'Amsterdam',\n",
       "  60,\n",
       "  13,\n",
       "  ['Holacracy-Meetup-Group', 'RailsGirls-NL', 'Amsterdam-rb', 'NLHTML5']],\n",
       " ['Q42 (Amsterdam Office)',\n",
       "  'Oostelijke Handelskade 749',\n",
       "  'Amsterdam',\n",
       "  46,\n",
       "  12,\n",
       "  ['JavaScript-MVC-Meetup-Amsterdam',\n",
       "   'Elastic-NL',\n",
       "   'fp-ams',\n",
       "   'amsterdam-scala',\n",
       "   'AWS-Amsterdam',\n",
       "   'girlcode',\n",
       "   'NLHTML5',\n",
       "   'Full-Stack-Development',\n",
       "   'RailsGirls-NL',\n",
       "   'CocoaHeadsNL']],\n",
       " ['Publitas.com',\n",
       "  'Zeeburgerpad 5',\n",
       "  'Amsterdam',\n",
       "  50,\n",
       "  12,\n",
       "  ['Amsterdam-rb', 'AWS-Amsterdam', 'Amsterdam-Elixir', 'React-Amsterdam']],\n",
       " ['TTY Amsterdam',\n",
       "  'Kerkstraat 342-344 hs',\n",
       "  'Amsterdam',\n",
       "  56,\n",
       "  12,\n",
       "  ['Amsterdam-Riak',\n",
       "   'fp-ams',\n",
       "   'ProductTank-AMS',\n",
       "   'Dutch-Web-Operations-Meetup']],\n",
       " ['Cafe Batavia 1920',\n",
       "  'Prins Hendrikkade 85 ',\n",
       "  'Amsterdam',\n",
       "  30,\n",
       "  12,\n",
       "  ['AmsterdamPHP', 'Technologia-Incognita']],\n",
       " ['Rockstart',\n",
       "  'Herengracht 182',\n",
       "  'Amsterdam',\n",
       "  31,\n",
       "  12,\n",
       "  ['golang-amsterdam',\n",
       "   'TitaniumNL',\n",
       "   'Startup-Nation-Amsterdam',\n",
       "   'Amsterdam-Open-Code',\n",
       "   'EdTech-Amsterdam',\n",
       "   'Meteor-NL']],\n",
       " ['App Ecosystem Tent @ #PICNIC12',\n",
       "  'IJpromenade 1',\n",
       "  'Amsterdam',\n",
       "  11,\n",
       "  11,\n",
       "  ['Appsterdam', 'sensemakersams']],\n",
       " ['WeWork Metropool',\n",
       "  'Weesperstraat 61-105',\n",
       "  'Amsterdam',\n",
       "  29,\n",
       "  11,\n",
       "  ['Amsterdam-Startup-Boot-Businesses-Meetup',\n",
       "   'SiliconDrinkabout020',\n",
       "   'Amsterdam-rb']]]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%cypher\n",
    "\n",
    "match\n",
    "    (m:Member)-[r:RSVP_ED]->(e:Event)<-[:HOSTED]-(v:Venue), (g:Group)-[:ORGANISED]-(e)\n",
    "where\n",
    "    v.city = 'Amsterdam'\n",
    "with g, e, v, count(r) as event_size\n",
    "return\n",
    "    v.name as venue_name, v.address_1 as address, v.city as city,\n",
    "    percentileDisc(event_size, 0.5) as median_event_size,\n",
    "    count(e) as event_count,\n",
    "    collect(distinct g.urlname) as groups\n",
    "order by median_event_size / 100 desc, event_count desc\n",
    "limit 100"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Size distribution of Meetup Events"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false,
    "scrolled": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1944 rows affected.\n"
     ]
    }
   ],
   "source": [
    "event_size_result = %cypher \\\n",
    "match (:Member)-[r:RSVP_ED]-(e:Event)<-[:HOSTED]-(v:Venue) \\\n",
    "where \\\n",
    "    e:Amsterdam and \\\n",
    "    v.city = 'Amsterdam' \\\n",
    "return \\\n",
    "    e.name as event_name, \\\n",
    "    count(distinct r) as event_size \\\n",
    "order by event_size desc\n",
    "\n",
    "event_size_result_frame = event_size_result.get_dataframe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x109d42160>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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9vf18PIbz5sTxE8kMe0hHjlRz6NCF83LsBQs6L6jHy/SzU9STfaLe7BT1Zqeot3N58mPS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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1099e7470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "event_size_result_frame.event_size.hist(bins=np.arange(0,300,15))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Membership overlap between Meetup Groups\n",
    "\n",
    "- Run Cypher query against Neo4j\n",
    "- Determine set intersection between group members\n",
    "\n",
    "### Venn diagram FTW!\n",
    "- `matplotlib-venn`\n",
    "- Homepage: https://pypi.python.org/pypi/matplotlib-venn\n",
    "- Will perform required set intersections for us"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [],
   "source": [
    "def plot_overlap(*args):\n",
    "    # args is a tuple. This is a bit of a dirty trick to \n",
    "    # force the representation with brackets, which works in Cypher\n",
    "    groups = list(args)\n",
    "\n",
    "    # Request groups and member IDs\n",
    "    result = %cypher \\\n",
    "    match (m:Member)-[r:RSVP_ED]->(e:Event)<-[:ORGANISED]-(g:Group) \\\n",
    "    where r.response = 'yes' and \\\n",
    "    g.urlname in $groups \\\n",
    "    return g.name as group, id(m) as member\n",
    "\n",
    "    result_frame = result.get_dataframe()\n",
    "    group_names = result_frame.group.unique()\n",
    "    \n",
    "    # Create venn from sets of dataframe selection values\n",
    "    venn_func = venn3 if len(groups) == 3 else venn2\n",
    "    return venn_func([\n",
    "        set(result_frame[result_frame.group == group].member.values)\n",
    "        for group in group_names\n",
    "        ], group_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "660 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib_venn._common.VennDiagram at 0x10a296438>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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K3EofBx2DHfrNW7/hTHIAtrB8ynJNKZtiOoZrUDLtqLNTev556QQnncAGysqkm26Sysuz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x109eb5438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_overlap(\"PyData-NL\", \"amst-R-dam\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1589 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib_venn._common.VennDiagram at 0x10a68e7b8>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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O64+9TsGgAmZ/fzbN9c08/e9PM3jsYDLzM1V/OT22tW4r0wdOV11Gl0kXqBlJ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\nLjEAiYhIl/4PtA1+8dq8Ur4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1099bcc88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_overlap(\"PyData-NL\", \"amst-R-dam\", \"graphdb-netherlands\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2287 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib_venn._common.VennDiagram at 0x10a626f60>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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2YhundZ6C4R7qdu/2rhNPoenQoV75/e2v2Y9WFxcxIm2yOq04XHtYdBlBheEe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\n3ImIiMwMw52IiMjM/D+TQcuMJwnU7AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10a2273c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_overlap(\"PyData-NL\", \"graphdb-netherlands\", \"CocoaHeadsNL\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "817 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib_venn._common.VennDiagram at 0x10a2788d0>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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7XvLnzGalTZtK/rRASZ04IR05YjqFGf4qcnv2mE4AOE6iyt3HDgyn1f37tgDw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\ncx1blyLX8c4779CoUSMmT55M48aN6dKlC88//zx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kJCSEdevW0a9fv0rtRo4caR35Cw0N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\nsbm7u1eq39nZmeLi4ps9vSIiIrdFQU5ERKqUk5PDgAEDaNKkCZ06daJ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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10a630128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_overlap(\"PyData-NL\", \"amst-R-dam\", \"itleaders\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# A better look at networks: igraph\n",
    "\n",
    "- C library: `brew install igraph`\n",
    "- Python bindings: `pip install python-igraph`\n",
    "\n",
    "#### Some issues:\n",
    "- Python3 support for plotting currently broken\n",
    "    - Trivial patch to fix: https://github.com/igraph/python-igraph/pull/60\n",
    "    - PR accepted, in upcoming release\n",
    "- Need to make sure igraph lib and python bindings are exactly same version\n",
    "    - Not obvious in homebrew\n",
    "    - Could be better on Linux"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# igraph\n",
    "- Plotting support\n",
    "- Graph operations:\n",
    "    - Calculate graph global properties\n",
    "    - Calculate individual vertex properties\n",
    "    - Community detection algorithms\n",
    "- Traversal / selection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "graph_db = neo.Graph()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "def neo_igraph(neo_result, options={}, path_alias='p'):\n",
    "    def flatmap(f, items):\n",
    "        return chain.from_iterable(map(f, items))\n",
    "    \n",
    "    def create_options(node, options):\n",
    "        for label, option in options.items():\n",
    "            if label in node.labels: # First match wins\n",
    "                return {\n",
    "                    k: v(node) if callable(v) else v\n",
    "                    for k,v in option.items()\n",
    "                }\n",
    "    \n",
    "    igraph_result = igraph.Graph()\n",
    "    \n",
    "    # Custom way to create a set of unique nodes\n",
    "    # I don't trust the equality comparison of Py2Neo's node objects\n",
    "    ans = {\n",
    "        n.ref:n\n",
    "        for n in flatmap(lambda p: p.nodes, [r[path_alias] for r in neo_result])\n",
    "    }.values()\n",
    "\n",
    "    for n in ans:\n",
    "        node_options = create_options(n, options)\n",
    "        igraph_result.add_vertex(n.ref, **node_options)\n",
    "\n",
    "    # This should actually de-duplicate the edges in the\n",
    "    # returned paths, but doesn't matter too much for small\n",
    "    # selections in terms of visualisation\n",
    "    for record in neo_result:\n",
    "        path = record[path_alias]\n",
    "        node_bigrams = zip(path.nodes, path.nodes[1:])\n",
    "        for (source,dest), rel in zip(node_bigrams, path.relationships):\n",
    "            igraph_result.add_edge(source.ref, dest.ref, **rel.properties)\n",
    "\n",
    "    igraph_result.es['width'] = .6\n",
    "    igraph_result.es['color'] = 'lightgray'\n",
    "    igraph_result.vs['size'] = 10\n",
    "    \n",
    "    return igraph_result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "ego_graph = neo_igraph(\n",
    "    graph_db.cypher.execute('''\n",
    "        match\n",
    "            p = (me:Member { name: 'Friso van Vollenhoven' })-[r:RSVP_ED]->(e:Event)<-[o:ORGANISED]-(g:Group)\n",
    "            where me:Amsterdam\n",
    "        return p\n",
    "        '''),\n",
    "    options= {\n",
    "    'Member': {\n",
    "        'label': lambda n: n.properties['name'],\n",
    "        'color': 'yellow'\n",
    "    },\n",
    "    'Group': {\n",
    "        'label': lambda n: n.properties['name'][:25] + '...' \\\n",
    "                 if len(n.properties['name']) > 25 else n.properties['name'],\n",
    "        'color': 'green'\n",
    "    },\n",
    "    'Event': {\n",
    "        'color': 'cyan'\n",
    "    }\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
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      ],
      "text/plain": [
       "<igraph.drawing.Plot at 0x10a6f6da0>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ego_lo = ego_graph.layout_fruchterman_reingold(maxiter=2000)\n",
    "igraph.plot(ego_graph, layout=ego_lo, bbox=(650, 530), margin=(80,20,80,20))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "duo_graph = neo_igraph(\n",
    "    graph_db.cypher.execute('''\n",
    "        match\n",
    "            p = (me:Member)-[r:RSVP_ED]->(e:Event)<-[o:ORGANISED]-(g:Group)\n",
    "            where me:Amsterdam and\n",
    "            (me.name = 'Friso van Vollenhoven' or\n",
    "            me.name = 'Vincent Damian Warmerdam')\n",
    "        return p\n",
    "        '''),\n",
    "    options= {\n",
    "    'Member': {\n",
    "        'color': 'yellow'\n",
    "    },\n",
    "    'Group': {\n",
    "        'color': 'green'\n",
    "    },\n",
    "    'Event': {\n",
    "        'color': 'cyan'\n",
    "    }\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false,
    "scrolled": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
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       "</g>\n",
       "</svg>\n"
      ],
      "text/plain": [
       "<igraph.drawing.Plot at 0x10a230da0>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "duo_lo = duo_graph.layout_fruchterman_reingold(maxiter=2000)\n",
    "igraph.plot(duo_graph, layout=duo_lo, bbox=(650, 530), margin=(80,20,80,20))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# A look at communities\n",
    "\n",
    "- Take all Amsterdam Meetup groups and members\n",
    "- Relate members to groups\n",
    "    - Determine edge weight using activity\n",
    "    - Decay activity over time (half life 1 year)\n",
    "- Run community detection on resulting graph using igraph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "97992 rows affected.\n"
     ]
    }
   ],
   "source": [
    "twenty_sixteen = int(datetime(2016, 1, 1).timestamp() * 1000)\n",
    "\n",
    "# The data set contains everything in a 100-mile radius from Amsterdam.\n",
    "# However, inspection of the community structure suggests, that the \n",
    "# cities of Amsterdam, Amersfoort and Utrecht form a joined community\n",
    "# with Amsterdam, whereas Den Haag and Rotterdam form a community of their\n",
    "# own (many groups that exist around Amsterdam have a similar group in the\n",
    "# Den Haag / Rotterdam network). Hence the selection for these three cities\n",
    "# specifically.\n",
    "result = %cypher \\\n",
    "match (m:Member)-[r:RSVP_ED]->(:Event)<-[:ORGANISED]-(g:Group) \\\n",
    "where g:Amsterdam \\\n",
    "and g.city in ['Amsterdam', 'Amersfoort', 'Utrecht'] \\\n",
    "and r.response = 'yes' \\\n",
    "and r.created < $twenty_sixteen \\\n",
    "return id(g) as group, id(m) as member, r.created as ts, $twenty_sixteen - r.created as recency \\\n",
    "order by ts \\"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
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       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "   group  member             ts       recency\n",
       "0    440   34887  1172920133000  278682667000\n",
       "1    440   33664  1172956609000  278646191000\n",
       "2    440   17127  1173112003000  278490797000\n",
       "3    440   64043  1173255524000  278347276000\n",
       "4    440   35756  1173737845000  277864955000"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "result.get_dataframe().head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
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      "text/plain": [
       "   group  member  weight\n",
       "0      1   12596     4.0\n",
       "1      1   13000     1.5\n",
       "2      1   13039     4.0\n",
       "3      1   13105     0.5\n",
       "4      1   13157     2.0"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "annual_decay = .5\n",
    "one_year = (1000 * 3600 * 24 * 365)\n",
    "\n",
    "# Note the explicit integer division (Python 3 style) to apply the\n",
    "# decay equally to all activity from the same year (i.e. the decays isn't\n",
    "# continuous throughout the year, but discretely binned per year of \n",
    "# increased recency)\n",
    "result_frame = result.get_dataframe()\n",
    "result_frame['weight'] = annual_decay ** (result_frame.recency // one_year)\n",
    "\n",
    "graph_relations = (\n",
    "    result_frame[['group', 'member', 'weight']]\n",
    "        .groupby(['group', 'member'])\n",
    "        .agg('sum')\n",
    "        .reset_index(level=[0,1])\n",
    "    )\n",
    "\n",
    "graph_relations.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10cf4e6d8>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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/f36uuOKKdHV1ZcWKFRkcHMzY2FjWrFmTnp6eLF++PGvXrs3g4GB6enqyefPmJMnGjRtz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\nAOX8P8eUXOYRwqezAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10cf4bba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Just a look at the edge weight distribution, to make sure we're not doing anything weird\n",
    "graph_relations.weight.hist(bins=np.arange(0,20,1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# From Pandas to igraph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "amsterdam_graph = igraph.Graph.TupleList(\n",
    "    graph_relations.values,    # Use the data frame as tuple list\n",
    "    \n",
    "    directed=False,            # Tells igraph direction doesn't matter\n",
    "    \n",
    "    weights=True               # Tells igraph the third item in each\n",
    "                               # tuple is the edge weight\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# igraph community detection\n",
    "- Multiple algorithms available\n",
    "- Not all suitable for large graphs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "community_levels = amsterdam_graph.community_multilevel(\n",
    "    weights='weight',\n",
    "    return_levels=True)\n",
    "\n",
    "communities = community_levels[-1] # use the least granular communities here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "46"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# communities.membership has the same shape as the graph vertex sequence.\n",
    "# Each element contains the community assignment for the vertex with \n",
    "# the same index.\n",
    "num_communities = max(communities.membership) + 1\n",
    "num_communities"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Some are big, some are small"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x10ac340b8>]], dtype=object)"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AQNGEKwAAAEUTrgAAABRNuAIAAFA04QoAAEDRhCsAAABFE64AAAAUTbgCAABQNOEKAABA\n0YQrAAAARROuAAAAFE24AgAAUDThCgAAQNGEKwAAAEUTrgAAABRNuAIAAFC01kZPAAAAgOoM9Pdn\n166fVzpmR8dlaWlpqXTM0yFcAQAAhpFfHdyTNRv3pn38K5WMd+jAa1m7+KZMnjylkvHOxAnD9dix\nY1m2bFl2796do0ePZsGCBXn3u9+dpUuXprm5OVOmTMmKFSuSJI888kg2btyYUaNGZcGCBbnhhhty\n+PDhLF68OPv27UutVss999yTCRMmnJMdAwAAGKnax09KbcJFjZ5GZU4Yro8//ngmTJiQe++9N2+8\n8UZuvvnmXHHFFVm0aFFmzJiRFStWZNOmTXnf+96Xnp6ePPbYY3nzzTfT1dWV66+/Phs2bMjll1+e\n22+/PU888UTWrVuX5cuXn6t9AwAAYBg44cWZ5syZk4ULFyZJ+vr60tLSkhdeeCEzZsxIksycOTM/\n/vGPs23btkyfPj2tra2p1Wrp6OjI9u3bs3Xr1sycOXPwtlu2bBni3QEAAGC4OWG4vv3tb097e3t6\ne3uzcOHCfPnLX87AwMDg58eMGZPe3t7U6/WMHTt2cPtv/k+9Xk+tVnvLbQEAAOB0nPTiTK+88kpu\nv/32zJs3Lx/+8Idz3333DX6uXq9n3LhxqdVqb4nS47fX6/XBbcfH7clMnHjqt2VoWYtyWItyWIuy\nWI/Ge/31WuVjXnBBzdqeBd+7cliLcpS6FkNxH1q1Rt8nnzBc9+7dm1tvvTVf+9rXct111yVJpk6d\nmp/85Cf5wAc+kKeeeirXXXddpk2blvvvvz9HjhzJ4cOHs2PHjkyZMiXXXHNNNm/enGnTpmXz5s2D\nTzE+FXv2HDy7PaMSEyeOtRaFsBblsBZlsR5l2L+/+mdV7d/fa23PkOOiHNaiHCWvxVDch1at6vvk\n043gE4br+vXr88Ybb2TdunV54IEH0tTUlOXLl2fVqlU5evRoJk+enNmzZ6epqSnz58/P3LlzMzAw\nkEWLFqWtrS1dXV1ZsmRJ5s6dm7a2tqxZs+asdg4AAICR54Thunz58t97FeCenp7f2dbZ2ZnOzs63\nbBs9enTWrl17llMEAABgJDvhxZkAAACg0YQrAAAARROuAAAAFE24AgAAUDThCgAAQNGEKwAAAEUT\nrgAAABRNuAIAAFA04QoAAEDRhCsAAABFa230BChXX19fXnrppezf31vZmB0dl6WlpaWy8QAAgOFP\nuPIH7dy5Iwvvezzt4ydVMt6hA69l7eKbMnnylErGAwAARgbhygm1j5+U2oSLGj0NAABgBPMaVwAA\nAIomXAEAACiacAUAAKBowhUAAICiCVcAAACKJlwBAAAomnAFAACgaMIVAACAoglXAAAAiiZcAQAA\nKJpwBQAAoGjCFQAAgKIJVwAAAIomXAEAACiacAUAAKBowhUAAICiCVcAAACKJlwBAAAomnAFAACg\naMIVAACAoglXAAAAiiZcAQAAKJpwBQAAoGjCFQAAgKIJVwAAAIomXAEAACiacAUAAKBowhUAAICi\nCVcAAACKJlwBAAAomnAFAACgaMIVAACAoglXAAAAiiZcAQAAKJpwBQAAoGjCFQAAgKIJVwAAAIom\nXAEAACiacAUAAKBowhUAAICiCVcAAACKJlwBAAAoWmujJwAAAHA+6evry86dOyobb9eun1c21nB1\nSuH67LPP5lvf+lZ6enrys5/9LLfddls6OjqSJF1dXZkzZ04eeeSRbNy4MaNGjcqCBQtyww035PDh\nw1m8eHH27duXWq2We+65JxMmTBjK/QEAABhSO3fuyML7Hk/7+EmVjLfvFz/LOy+eWslYw9VJw/XB\nBx/MD37wg4wZMyZJ8txzz+Wzn/1sbrnllsHb7N27Nz09PXnsscfy5ptvpqurK9dff302bNiQyy+/\nPLfffnueeOKJrFu3LsuXLx+ynQEAADgX2sdPSm3CRZWMdejAq5WMM5yd9DWul156aR544IHBj59/\n/vk8+eSTmTdvXrq7u1Ov17Nt27ZMnz49ra2tqdVq6ejoyPbt27N169bMnDkzSTJz5sxs2bJl6PYE\nAACAYemkZ1xvvPHG7N69e/Djq6++Op/61Kdy5ZVXZv369fnOd76TqVOnZuzYsYO3aW9vT29vb+r1\nemq1WpJkzJgx6e3tPeWJTZw49uQ3Yki9/nqt8jEvuKBmbc+C7105rEVZrEfj+Z1RHt+7cliLclS1\nFkNxn1e6Rt8nn/bFmWbNmjUYqbNmzcqqVaty7bXXviVK6/V6xo0bl1qtlnq9Prjt+Lg9mT17Dp7u\n1KjY/v2n/oeG0xnT2p6ZiRPH+t4VwlqUxXqUwe+MsjguymEtylHlWgzFfV7pqr5PPt0IPu1w/dzn\nPpfu7u5MmzYtW7ZsyVVXXZVp06bl/vvvz5EjR3L48OHs2LEjU6ZMyTXXXJPNmzdn2rRp2bx5c2bM\nmHG6Xw4AAOCs9PX15aWXXqosOF0F+Nw77XBduXJlVq5cmVGjRmXixIm58847M2bMmMyfPz9z587N\nwMBAFi1alLa2tnR1dWXJkiWZO3du2trasmbNmqHYBwAAgD/IVYDPf6cUrhdddFEefvjhJMkVV1yR\nDRs2/M5tOjs709nZ+ZZto0ePztq1ayuYJgAAwJlzFeDz20mvKgwAAACNJFwBAAAomnAFAACgaKd9\ncSYAgPNJX19fdu7cUemYHR2XpaWlpdIxAfjDhCsAMKxVfTXRQwdey9rFN2Xy5CmVjAfAyQlXAGDY\nq/JqogCce17jCgAAQNGEKwAAAEUTrgAAABRNuAIAAFA04QoAAEDRhCsAAABFE64AAAAUTbgCAABQ\nNOEKAABA0YQrAAAARROuAAAAFE24AgAAUDThCgAAQNGEKwAAAEUTrgAAABRNuAIAAFA04QoAAEDR\nhCsAAABFE64AAAAUTbgCAABQNOEKAABA0YQrAAAARROuAAAAFE24AgAAUDThCgAAQNGEKwAAAEUT\nrgAAABRNuAIAAFA04QoAAEDRhCsAAABFE64AAAAUTbgCAABQNOEKAABA0YQrAAAARWtt9AQAAM4n\nA/392bXr55WO2dFxWVpaWiodE2A4Ea4AAKfhVwf3ZM3GvWkf/0ol4x068FrWLr4pkydPqWQ8gOFI\nuAIAnKb28ZNSm3BRJWMNxRncCy64utLxABpNuAIANNBQnMHtWV3LhAkXVjIeQAmEKwBAg1V5Bhdg\nOHJVYQAAAIomXAEAACiacAUAAKBowhUAAICiCVcAAACKJlwBAAAomnAFAACgaMIVAACAoglXAAAA\niiZcAQAAKJpwBQAAoGinFK7PPvts5s+fnyTZtWtX5s6dm3nz5mXlypWDt3nkkUfyiU98Ip/+9Kfz\n5JNPJkkOHz6cv/7rv85nPvOZ3HbbbXn99der3wMAAACGtZOG64MPPpju7u4cPXo0SbJ69eosWrQo\nDz30UPr7+7Np06bs3bs3PT092bhxYx588MGsWbMmR48ezYYNG3L55Zfne9/7Xm6++easW7duyHcI\nAACA4eWk4XrppZfmgQceGPz4+eefz4wZM5IkM2fOzI9//ONs27Yt06dPT2tra2q1Wjo6OrJ9+/Zs\n3bo1M2fOHLztli1bhmg3AAAAGK5aT3aDG2+8Mbt37x78eGBgYPDfY8aMSW9vb+r1esaOHTu4vb29\nfXB7rVZ7y21P1cSJY09+I4bU66/XKh/zggtq1vYs+N6Vw1qUxXo0Xsm/M4ZibueDkXBc9PX15T//\n8z8rHXPy5MlpaWmpdMyRsBalG6n3A1Vq9OP4k4brb2tu/j8naev1esaNG5darfaWKD1+e71eH9x2\nfNyezJ49B093alRs//5T/0PD6Yxpbc/MxIljfe8KYS3KYj3KUPLvjKGY2/lgJBwX//mf/28W3vd4\n2sdPqmS8Qwdey9rFN2Xy5CmVjJe4jyrFSL0fqFLVj+NPN4JPO1yvvPLK/OQnP8kHPvCBPPXUU7nu\nuusybdq03H///Tly5EgOHz6cHTt2ZMqUKbnmmmuyefPmTJs2LZs3bx58ijEAAFShffyk1CZc1Ohp\nAEPstMN1yZIl+epXv5qjR49m8uTJmT17dpqamjJ//vzMnTs3AwMDWbRoUdra2tLV1ZUlS5Zk7ty5\naWtry5o1a4ZiHwAAABjGTilcL7roojz88MNJko6OjvT09PzObTo7O9PZ2fmWbaNHj87atWsrmCYA\nAAAj1Sm9jysAAAA0inAFAACgaMIVAACAoglXAAAAiiZcAQAAKJpwBQAAoGin/T6uAABDbaC/P7t2\n/bySsaoaB4DGEa4AQHF+dXBP1mzcm/bxr5z1WPt+8bO88+KpFcwKgEYRrgBAkdrHT0ptwkVnPc6h\nA69WMBsAGslrXAEAACiacAUAAKBowhUAAICiCVcAAACKJlwBAAAomnAFAACgaMIVAACAoglXAAAA\niiZcAQAAKJpwBQAAoGjCFQAAgKIJVwAAAIomXAEAACiacAUAAKBowhUAAICiCVcAAACKJlwBAAAo\nmnAFAACgaMIVAACAoglXAAAAiiZcAQAAKJpwBQAAoGjCFQAAgKIJVwAAAIomXAEAACiacAUAAKBo\nwhUAAICiCVcAAACKJlwBAAAoWmujJwAAAEC5Bvr7s2vXzysdc+LE95/W7YUrAAAAf9CvDu7Jmo17\n0z7+lUrGO3Tgtfw//5dwBQAAoELt4yelNuGihn19r3EFAACgaM64AgwjfX192blzR6VjdnRclpaW\nlkrHBAA4HcIV4sE+w8fOnTuy8L7H0z5+UiXjHTrwWtYuvimTJ0+pZDwAgDMhXCEe7DO8NPo1KAAA\nVROu8P/zYB8AAMrk4kwAAAAUzRlXAAAYAn19fXnppZeyf39vZWO6hgYjlXAFAIAh4BoaUB3hCgAA\nQ8Q1NKAaXuMKAABA0YQrAAAARROuAAAAFE24AgAAUDThCgAAQNHO+KrCH//4x1Or1ZIkF198cRYs\nWJClS5emubk5U6ZMyYoVK5IkjzzySDZu3JhRo0ZlwYIFueGGGyqZOAAAACPDGYXrkSNHkiTf/e53\nB7f95V/+ZRYtWpQZM2ZkxYoV2bRpU973vvelp6cnjz32WN588810dXXl+uuvz6hRo6qZPQAAVGSg\nvz+7dv28svGqHAtGujMK1+3bt+fQoUO59dZb09fXly9/+ct54YUXMmPGjCTJzJkz8/TTT6e5uTnT\np09Pa2trarVaOjo68uKLL+Y973lPpTsBAABn61cH92TNxr1pH/9KJePt+8XP8s6Lp1YyFox0ZxSu\no0ePzq233prOzs7s3Lkzn//85zMwMDD4+TFjxqS3tzf1ej1jx44d3N7e3p6DBw+e/awBAGAItI+f\nlNqEiyoZ69CBVysZBzjDcO3o6Mill146+O93vOMdeeGFFwY/X6/XM27cuNRqtfT29v7O9lMxceLY\nk9+IIfX667XKx7zgglqRa3u+7GuJ37uRqtS1OF9+lqtW+vxGgqH42ePsjITjYiT+3J0P98klGok/\nK8PNGYXro48+mhdffDErVqzIq6++mt7e3lx//fV55plncu211+app57Kddddl2nTpuX+++/PkSNH\ncvjw4ezYsSNTpkw5pa+xZ48zs422f3/vyW90BmOWuLbnw75OnDi2yO/dSFTyWpwPP8tVK3k9RpKh\n+Nnj7IyE42Ik/tyVfp9cqpH4szLcnFG4fvKTn8yyZcvymc98Jk1NTbnnnnvyjne8I93d3Tl69Ggm\nT56c2bNnp6mpKfPnz8/cuXMzMDCQRYsWpa2trep9AAAAYBg7o3BtbW3Nvffe+zvbe3p6fmdbZ2dn\nOjs7z+TLAAAAQJobPQEAAAA4EeEKAABA0YQrAAAARROuAAAAFE24AgAAUDThCgAAQNGEKwAAAEU7\no/dxBQAAzq2B/v7s2vXzSsfs6LgsLS0tlY4JQ0G4AgDAeeBXB/dkzca9aR//SiXjHTrwWtYuvimT\nJ0+pZLwq9fX1ZefOHZWNV3Xwc+4JVwAAOE+0j5+U2oSLGj2NIbdz544svO/xtI+fVMl4+37xs7zz\n4qmVjEVjCFdgWKv6L7ZJcsEFV1c6HgDwu6qM9EMHXq1kHBpHuALDWtV/sT104LX0rK5lwoQLKxkP\nAICTE67t9lCYAAAK00lEQVTAsDdSnlZ1Pqj6DHhHx2WVjQUAlEu4AnDOVHkG/DcXFXnXu95fwcwA\ngJIJVwDOKWfAAYDT1dzoCQAAAMCJCFcAAACKJlwBAAAomnAFAACgaMIVAACAoglXAAAAiubtcADg\nPNDX15edO3dUOmZHx2VpaWmpdEwAGArCFQDOAzt37sjC+x5P+/hJlYx36MBrWbv4pkyePKWS8QBg\nKAlXADhPtI+flNqEixo9DQA457zGFQAAgKIJVwAAAIomXAEAACiacAUAAKBowhUAAICiCVcAAACK\nJlwBAAAomnAFAACgaK2NngAAANUZ6O/Pyy+/nP37eysbs6PjsrS0tFQ2HsDpEq4wBAb6+7Nr188r\nHfOCC66udDwAhqdfHdyTr/33vWkfP6mS8Q4deC1rF9+UyZOnVDIewJkQrjAEfnVwT9Zs3Jv28a9U\nMt6hA6+lZ3UtEyZcWMl4AAxv7eMnpTbhokZPA6AywhWGiAcNAABQDeEKnLW+vr7s3Lmj0jG9ngoA\ngN8QrnAeKP1CGzt37sjC+x73eio4TtV/0Kn6dfMAcD4RrnAeOB8utFHlU6OrvLiVB/ucqqEIzTUb\nn63suN33i5/lnRdPrWQsADjfCFc4T4yk18xWeXErD/Y5VVU/c+A3P3tVHbeHDrxayThwuobiSvle\nDgKcLuEKFKmqUPdgn9NR5R+I/OwxXAzFlfK9HAQ4XcIVAIATGknP+gHK1NzoCQAAAMCJCFcAAACK\nJlwBAAAomte4noaq3yohcVU9AGBk8ZZnwJkQrqeh6rdKcFU9AGCk8ZZnwJkQrqfJVfUAAM6OtzwD\nTpdw5ZzxBuYAAMCZEK6cM97AHAAAOBPClXPKU60BAIDTJVwBYASq+uUbru4KwFASrgAwAlX98g1X\ndwVgKAnXYaTq95n113OA4a3Kl2+4uisAQ0m4DiNVv8+sv54Dnk4KMHxVfR/f19eXpCktLc1nPZbf\nF/w24TrM+Os5UKXSn07a19eXl156Kfv39571WB4kASPNUNzHv33sOys5ieIECr9tyMN1YGAgX//6\n1/Piiy+mra0td911Vy655JKh/rIAVKTkP4jt3v2LLPr2//QgCeAMVX0fX9V4TqDw24Y8XDdt2pQj\nR47k4YcfzrPPPpvVq1dn3bp1Q/1lGQGqfHqLMy2cqoH+/rz88suVnOH7jY6Oy9LS0lLZeCONB0kA\nMPwNebhu3bo1H/zgB5MkV199dZ577rmT/p9du3Zl375qHhSOHj06Bw7870rGEjdlqfLpLSPtTIvX\nLZ65Xx3ck6/9972VvZa8/r//K1/59DX5b//t0krGG0lrAQCMHEMerr29vRk7duz/+YKtrenv709z\n8x9+0fZn/urO9PUPVPL139k+kJ8fGJ3RtQvOeqwDr+7IOy68vIJZ/dqhA69VHg+HDrxW2Xi/Org/\nSVPR47197DsrG28kfe/2//LFrPofL1RyXCTVHxtV7m/pP3dv9r6eVf/j30bEWlQ93q+P2QsrO3ZL\n3lfjlTOW8coar+S5Ga+csYxX3nhn8rt7yMO1VqulXq8PfnyyaE2S//V/PzjU0xqWrrvu/fnUpz7W\n6GkAnFPu9wBg+Dv7a1WfxPvf//5s3rw5SfLTn/40l19e3ZkAAAAAhr+mgYGBap6T+wccf1XhJFm9\nenX+6I/+aCi/JAAAAMPIkIcrAAAAnI0hf6owAAAAnA3hCgAAQNGEKwAAAEUTrgAAABRtyN/H9VQd\nf/Xhtra23HXXXbnkkksaPa0R7eMf/3hqtVqS5OKLL87dd9/d4BmNPM8++2y+9a1vpaenJ7t27crS\npUvT3NycKVOmZMWKFY2e3ohy/Fr87Gc/y2233ZaOjo4kSVdXV+bMmdPYCY4Ax44dy7Jly7J79+4c\nPXo0CxYsyLvf/W7HRQP8vrW48MILHRcN0t/fn+7u7rz88stpbm7OypUr09bW5thogN+3FkePHnVs\nNNC+ffvyiU98Iv/4j/+YlpYWx0UDHb8Wb7755mkfF8WE66ZNm3LkyJE8/PDDefbZZ7N69eqsW7eu\n0dMasY4cOZIk+e53v9vgmYxcDz74YH7wgx9kzJgxSX79VlKLFi3KjBkzsmLFimzatCmzZs1q8CxH\nht9ei+eeey6f/exnc8sttzR2YiPM448/ngkTJuTee+/NG2+8kZtvvjlXXHGF46IBjl+LAwcO5KMf\n/Wi+8IUvOC4a5Ic//GGampqyYcOGPPPMM/n2t7+dgYEBx0YD/L61+NCHPuTYaJBjx45lxYoVGT16\ndBKPpRrpt9fiTB5LFfNU4a1bt+aDH/xgkuTqq6/Oc8891+AZjWzbt2/PoUOHcuutt+aWW27Js88+\n2+gpjTiXXnppHnjggcGPn3/++cyYMSNJMnPmzGzZsqVRUxtxft9aPPnkk5k3b16WL1+eQ4cONXB2\nI8ecOXOycOHCJElfX19aWlrywgsvOC4a4Pi16O/vT2tra55//vn86Ec/clw0wKxZs/KNb3wjSfLL\nX/4y48ePd2w0yPFrsXv37owfP96x0UDf/OY309XVlUmTJmVgYMBx0UDHr0VyZo+lignX3t7ejB07\ndvDj1tbW9Pf3N3BGI9vo0aNz66235h/+4R/y9a9/PV/5ylesxzl24403pqWlZfDj499yecyYMTl4\n8GAjpjUi/fZaXH311fmbv/mbPPTQQ7nkkkvy93//9w2c3cjx9re/Pe3t7ent7c3ChQvz5S9/2XHR\nIL+9Fl/60pfy3ve+N0uWLHFcNEhzc3PuuOOOrFq1Kh/5yEccGw30m7W466678md/9me5+uqrHRsN\n8Oijj+ad73xnrr/++sHj4fjHso6Lc+e312JgYOCMHksVE661Wi31en3w4/7+/jQ3FzO9EaejoyM3\n3XTT4L/f8Y53ZM+ePQ2e1ch2/PFQr9czbty4Bs5mZJs1a1auvPLKJL+O2u3btzd4RiPHK6+8kj//\n8z/Pxz72sXz4wx92XDTQb6+F46LxVq9enX/9139Nd3d3Dh8+PLjdsXHuHb8W119/vWOjAR599NE8\n/fTTmT9/fl588cUsWbIkr7/++uDnHRfnzvFrsX379ixdujQzZ8487eOimDJ8//vfn82bNydJfvrT\nn+byyy9v8IxGtkcffTT33HNPkuTVV19NvV7PxIkTGzyrke3KK6/MT37ykyTJU089lenTpzd4RiPX\n5z73ufzHf/xHkmTLli256qqrGjyjkWHv3r259dZbs3jx4nzsYx9LkkydOtVx0QC/by0cF43z/e9/\nP+vXr0+SvO1tb0tzc3Pe85735Jlnnkni2DiXfnstmpqa8sUvfjHbtm1L4tg4lx566KH09PSkp6cn\nV1xxRe6999588IMf9DujAY5fi6lTp+ab3/xm/uqv/uq0j4tiLs5044035umnn86nP/3pJL/+SxWN\n88lPfjLLli3LZz7zmTQ1NeXuu+92BrzBlixZkq9+9as5evRoJk+enNmzZzd6SiPWypUrs3Llyowa\nNSoTJ07MnXfe2egpjQjr16/PG2+8kXXr1uWBBx5IU1NTli9fnlWrVjkuzrHftxbLli3L3Xff7bho\ngNmzZ2fp0qWZN29ejh07lu7u7lx22WXp7u52bJxjv28tLrzwQr8zCuGxVDnO5LFU08DxL4IAAACA\nwjiFBgAAQNGEKwAAAEUTrgAAABRNuAIAAFA04QoAAEDRhCsAAABFE64AAAAU7f8D/JMhTugfESgA\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10cf4bf98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Pandas histogram doesn't actually work with categorical data\n",
    "# We do a trick by setting the bins to be exactly equal to the\n",
    "# community count\n",
    "pd.DataFrame(communities.membership).hist(\n",
    "    bins=np.arange(0,num_communities))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Community size histogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x10a2300f0>]], dtype=object)"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10cfc99b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# itemfreq from scipy.stats\n",
    "pd.DataFrame(itemfreq(communities.membership)[:,1], columns=['community size']\n",
    ").hist(bins=np.arange(0,3500,500))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Establishing a rank\n",
    "\n",
    "- Community detection result is written back into Neo4j\n",
    "    - Available for querying\n",
    "    - Easy to construct DataFrames with community information\n",
    "- Simple measure for community rank:\n",
    "    - Activity for the top-10 meetup groups for a community determines the community's rank\n",
    "    - Activity expressed in terms of number of YES RSVPs in the year 2015\n",
    "\n",
    "### (Too much for this presentation, but essentially basic Pandas fiddling. You'll have to trust me on this.)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Comparing cities\n",
    "- Remember we collected data for:\n",
    "    - Amsterdam\n",
    "    - Berlin\n",
    "    - London\n",
    "    - New York City\n",
    "    - Chicago\n",
    "    - San Francisco"
   ]
  },
  {
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    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>community</th>\n",
       "      <th>group</th>\n",
       "      <th>urlname</th>\n",
       "      <th>rank</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1679</th>\n",
       "      <td>4</td>\n",
       "      <td>Silicon Drinkabout Amsterdam</td>\n",
       "      <td>SiliconDrinkabout020</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1628</th>\n",
       "      <td>4</td>\n",
       "      <td>Hackers &amp; Founders (Amsterdam, NL)</td>\n",
       "      <td>Hackers-and-Founders-Amsterdam-NL</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1638</th>\n",
       "      <td>4</td>\n",
       "      <td>Innovative startups &amp; fast growing tech companies</td>\n",
       "      <td>Amsterdam-Innovative-startups</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>11</td>\n",
       "      <td>Docker Randstad</td>\n",
       "      <td>Docker-Randstad</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>11</td>\n",
       "      <td>Software Circus</td>\n",
       "      <td>Software-Circus</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>11</td>\n",
       "      <td>OpenStack Netherlands</td>\n",
       "      <td>Openstack-Netherlands</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2180</th>\n",
       "      <td>9</td>\n",
       "      <td>Amsterdam Data Science Meetup</td>\n",
       "      <td>Amsterdam-Data-Science</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2211</th>\n",
       "      <td>9</td>\n",
       "      <td>Big Data, Amsterdam</td>\n",
       "      <td>Big-Data-Amsterdam</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2220</th>\n",
       "      <td>9</td>\n",
       "      <td>Data Donderdag</td>\n",
       "      <td>DataDonderdag</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2081</th>\n",
       "      <td>8</td>\n",
       "      <td>Frontend Developer Meetup Amsterdam</td>\n",
       "      <td>Frontend-Developer-Meetup-Amsterdam</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2118</th>\n",
       "      <td>8</td>\n",
       "      <td>NLHTML5</td>\n",
       "      <td>NLHTML5</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2115</th>\n",
       "      <td>8</td>\n",
       "      <td>Meteor NL</td>\n",
       "      <td>Meteor-NL</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>496</th>\n",
       "      <td>15</td>\n",
       "      <td>Internet-of-Things Meetup Amsterdam</td>\n",
       "      <td>sensemakersams</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464</th>\n",
       "      <td>15</td>\n",
       "      <td>Dutch DIY Bio Group</td>\n",
       "      <td>Dutch-DIY-Bio</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>425</th>\n",
       "      <td>15</td>\n",
       "      <td>Amsterdam Smart Citizens Lab</td>\n",
       "      <td>Amsterdam-Smart-Citizens-Lab</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1007</th>\n",
       "      <td>25</td>\n",
       "      <td>AmsterdamPHP</td>\n",
       "      <td>AmsterdamPHP</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1029</th>\n",
       "      <td>25</td>\n",
       "      <td>DomCode</td>\n",
       "      <td>DomCode</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1075</th>\n",
       "      <td>25</td>\n",
       "      <td>PHPAmersfoort</td>\n",
       "      <td>PHPAmersfoort</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>1</td>\n",
       "      <td>Permanent Beta</td>\n",
       "      <td>PermanentBeta</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>1</td>\n",
       "      <td>Internet-of-Things Meetup Amsterdam</td>\n",
       "      <td>sensemakersams</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>1</td>\n",
       "      <td>Hackathon Meetup</td>\n",
       "      <td>Hackathon-Netherlands</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>746</th>\n",
       "      <td>2</td>\n",
       "      <td>Amsterdam UX</td>\n",
       "      <td>AmsterdamUX</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>763</th>\n",
       "      <td>2</td>\n",
       "      <td>Behavior Design AMS</td>\n",
       "      <td>Behavior-Design-AMS</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>817</th>\n",
       "      <td>2</td>\n",
       "      <td>ProductTank AMS</td>\n",
       "      <td>ProductTank-AMS</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1910</th>\n",
       "      <td>7</td>\n",
       "      <td>Appsterdam</td>\n",
       "      <td>Appsterdam</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1915</th>\n",
       "      <td>7</td>\n",
       "      <td>CocoaHeadsNL</td>\n",
       "      <td>CocoaHeadsNL</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1948</th>\n",
       "      <td>7</td>\n",
       "      <td>Hackers &amp; Founders (Amsterdam, NL)</td>\n",
       "      <td>Hackers-and-Founders-Amsterdam-NL</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>628</th>\n",
       "      <td>19</td>\n",
       "      <td>Amsterdam.scala</td>\n",
       "      <td>amsterdam-scala</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>662</th>\n",
       "      <td>19</td>\n",
       "      <td>Elastic User Group NL</td>\n",
       "      <td>Elastic-NL</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>718</th>\n",
       "      <td>19</td>\n",
       "      <td>The Amsterdam Clojure Meetup Group</td>\n",
       "      <td>The-Amsterdam-Clojure-Meetup-Group</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     community                                              group  \\\n",
       "1679         4                       Silicon Drinkabout Amsterdam   \n",
       "1628         4                 Hackers & Founders (Amsterdam, NL)   \n",
       "1638         4  Innovative startups & fast growing tech companies   \n",
       "143         11                                    Docker Randstad   \n",
       "221         11                                    Software Circus   \n",
       "203         11                              OpenStack Netherlands   \n",
       "2180         9                      Amsterdam Data Science Meetup   \n",
       "2211         9                                Big Data, Amsterdam   \n",
       "2220         9                                     Data Donderdag   \n",
       "2081         8                Frontend Developer Meetup Amsterdam   \n",
       "2118         8                                            NLHTML5   \n",
       "2115         8                                          Meteor NL   \n",
       "496         15                Internet-of-Things Meetup Amsterdam   \n",
       "464         15                                Dutch DIY Bio Group   \n",
       "425         15                       Amsterdam Smart Citizens Lab   \n",
       "1007        25                                       AmsterdamPHP   \n",
       "1029        25                                            DomCode   \n",
       "1075        25                                      PHPAmersfoort   \n",
       "51           1                                     Permanent Beta   \n",
       "43           1                Internet-of-Things Meetup Amsterdam   \n",
       "36           1                                   Hackathon Meetup   \n",
       "746          2                                       Amsterdam UX   \n",
       "763          2                                Behavior Design AMS   \n",
       "817          2                                    ProductTank AMS   \n",
       "1910         7                                         Appsterdam   \n",
       "1915         7                                       CocoaHeadsNL   \n",
       "1948         7                 Hackers & Founders (Amsterdam, NL)   \n",
       "628         19                                    Amsterdam.scala   \n",
       "662         19                              Elastic User Group NL   \n",
       "718         19                 The Amsterdam Clojure Meetup Group   \n",
       "\n",
       "                                  urlname  rank  \n",
       "1679                 SiliconDrinkabout020     1  \n",
       "1628    Hackers-and-Founders-Amsterdam-NL     2  \n",
       "1638        Amsterdam-Innovative-startups     3  \n",
       "143                       Docker-Randstad     1  \n",
       "221                       Software-Circus     2  \n",
       "203                 Openstack-Netherlands     3  \n",
       "2180               Amsterdam-Data-Science     1  \n",
       "2211                   Big-Data-Amsterdam     2  \n",
       "2220                        DataDonderdag     3  \n",
       "2081  Frontend-Developer-Meetup-Amsterdam     1  \n",
       "2118                              NLHTML5     2  \n",
       "2115                            Meteor-NL     3  \n",
       "496                        sensemakersams     1  \n",
       "464                         Dutch-DIY-Bio     2  \n",
       "425          Amsterdam-Smart-Citizens-Lab     3  \n",
       "1007                         AmsterdamPHP     1  \n",
       "1029                              DomCode     2  \n",
       "1075                        PHPAmersfoort     3  \n",
       "51                          PermanentBeta     1  \n",
       "43                         sensemakersams     2  \n",
       "36                  Hackathon-Netherlands     3  \n",
       "746                           AmsterdamUX     1  \n",
       "763                   Behavior-Design-AMS     2  \n",
       "817                       ProductTank-AMS     3  \n",
       "1910                           Appsterdam     1  \n",
       "1915                         CocoaHeadsNL     2  \n",
       "1948    Hackers-and-Founders-Amsterdam-NL     3  \n",
       "628                       amsterdam-scala     1  \n",
       "662                            Elastic-NL     2  \n",
       "718    The-Amsterdam-Clojure-Meetup-Group     3  "
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "amsterdam_rank = pickle.load(open('../../data/ranking-amsterdam.pickle', 'rb'))\n",
    "amsterdam_rank[amsterdam_rank['rank'] <= 3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>community</th>\n",
       "      <th>group</th>\n",
       "      <th>urlname</th>\n",
       "      <th>rank</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>690</th>\n",
       "      <td>11</td>\n",
       "      <td>Microservices Meetup Berlin</td>\n",
       "      <td>Microservices-Meetup-Berlin</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>762</th>\n",
       "      <td>11</td>\n",
       "      <td>eBay Europe Technology #ebaytechtalk</td>\n",
       "      <td>eBay-Europe-Technology</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>548</th>\n",
       "      <td>11</td>\n",
       "      <td>Berlin AWS User Group</td>\n",
       "      <td>aws-berlin</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>1</td>\n",
       "      <td>Berlin Machine learning group</td>\n",
       "      <td>berlin-machine-learning</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>1</td>\n",
       "      <td>Apache Flink Meetup Berlin</td>\n",
       "      <td>Apache-Flink-Meetup</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>1</td>\n",
       "      <td>Berlin Digital Analytics Meetup</td>\n",
       "      <td>Berlin-Digital-Analytics</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>0</td>\n",
       "      <td>Node.js Meetup Berlin</td>\n",
       "      <td>Node-js-Meetup-Berlin</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>0</td>\n",
       "      <td>Meteor Berlin</td>\n",
       "      <td>Meteor-Berlin</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0</td>\n",
       "      <td>AngularJS Meetup Berlin</td>\n",
       "      <td>AngularJS-Meetup-Berlin</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1949</th>\n",
       "      <td>2</td>\n",
       "      <td>OpenTechSchool Berlin</td>\n",
       "      <td>opentechschool-berlin</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1910</th>\n",
       "      <td>2</td>\n",
       "      <td>Geek Girls Carrots Berlin</td>\n",
       "      <td>Geek-Girls-Carrots-Berlin</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996</th>\n",
       "      <td>2</td>\n",
       "      <td>Up.front</td>\n",
       "      <td>up-front-ug</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1208</th>\n",
       "      <td>15</td>\n",
       "      <td>Berlin Tech Meetup</td>\n",
       "      <td>b-tech</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1164</th>\n",
       "      <td>15</td>\n",
       "      <td>B2B Berlin</td>\n",
       "      <td>b2b-berlin</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1193</th>\n",
       "      <td>15</td>\n",
       "      <td>Berlin Meetup for Innovative Technology and Bu...</td>\n",
       "      <td>Berlin-Innovation-Meetup-for-Personal-Technology</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>858</th>\n",
       "      <td>12</td>\n",
       "      <td>GDG Berlin Android</td>\n",
       "      <td>GDG-Berlin-Android</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>864</th>\n",
       "      <td>12</td>\n",
       "      <td>Google Developer Group Berlin (GDG Berlin)</td>\n",
       "      <td>gdgberlin</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>798</th>\n",
       "      <td>12</td>\n",
       "      <td>Berlin Hack and Tell</td>\n",
       "      <td>Berlin-Hack-and-Tell</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1529</th>\n",
       "      <td>17</td>\n",
       "      <td>Berlin UX Happy Hour</td>\n",
       "      <td>Berlin-UX-Happy-Hour</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1637</th>\n",
       "      <td>17</td>\n",
       "      <td>Usability Stammtisch Berlin</td>\n",
       "      <td>Usability-Stammtisch-Berlin</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1577</th>\n",
       "      <td>17</td>\n",
       "      <td>IXDS Pre-Work Talks Berlin</td>\n",
       "      <td>IXDS-Pre-Work-Talks-Berlin</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2647</th>\n",
       "      <td>3</td>\n",
       "      <td>Cocoaheads Berlin</td>\n",
       "      <td>Cocoaheads-Berlin</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2767</th>\n",
       "      <td>3</td>\n",
       "      <td>swift.berlin</td>\n",
       "      <td>swift-berlin</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2747</th>\n",
       "      <td>3</td>\n",
       "      <td>ThoughtWorks Berlin</td>\n",
       "      <td>ThoughtWorks-Berlin</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3376</th>\n",
       "      <td>9</td>\n",
       "      <td>Data Visualization Berlin</td>\n",
       "      <td>Data-Visualization-Berlin</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3402</th>\n",
       "      <td>9</td>\n",
       "      <td>Hacks/Hackers Berlin</td>\n",
       "      <td>Hacks-Hackers-Berlin</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3426</th>\n",
       "      <td>9</td>\n",
       "      <td>OK Lab Berlin</td>\n",
       "      <td>OK-Lab-Berlin</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1728</th>\n",
       "      <td>19</td>\n",
       "      <td>Geek Girls Carrots Berlin</td>\n",
       "      <td>Geek-Girls-Carrots-Berlin</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1789</th>\n",
       "      <td>19</td>\n",
       "      <td>Women Who Code Berlin</td>\n",
       "      <td>Women-Who-Code-Berlin-Germany</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1657</th>\n",
       "      <td>19</td>\n",
       "      <td>#witas - Women in Tech and Startups Berlin</td>\n",
       "      <td>witas-Women-in-Tech-and-Startups-Berlin</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     community                                              group  \\\n",
       "690         11                        Microservices Meetup Berlin   \n",
       "762         11               eBay Europe Technology #ebaytechtalk   \n",
       "548         11                              Berlin AWS User Group   \n",
       "245          1                      Berlin Machine learning group   \n",
       "215          1                         Apache Flink Meetup Berlin   \n",
       "232          1                    Berlin Digital Analytics Meetup   \n",
       "142          0                              Node.js Meetup Berlin   \n",
       "134          0                                      Meteor Berlin   \n",
       "10           0                            AngularJS Meetup Berlin   \n",
       "1949         2                              OpenTechSchool Berlin   \n",
       "1910         2                          Geek Girls Carrots Berlin   \n",
       "1996         2                                           Up.front   \n",
       "1208        15                                 Berlin Tech Meetup   \n",
       "1164        15                                         B2B Berlin   \n",
       "1193        15  Berlin Meetup for Innovative Technology and Bu...   \n",
       "858         12                                 GDG Berlin Android   \n",
       "864         12         Google Developer Group Berlin (GDG Berlin)   \n",
       "798         12                               Berlin Hack and Tell   \n",
       "1529        17                               Berlin UX Happy Hour   \n",
       "1637        17                        Usability Stammtisch Berlin   \n",
       "1577        17                         IXDS Pre-Work Talks Berlin   \n",
       "2647         3                                  Cocoaheads Berlin   \n",
       "2767         3                                       swift.berlin   \n",
       "2747         3                                ThoughtWorks Berlin   \n",
       "3376         9                          Data Visualization Berlin   \n",
       "3402         9                               Hacks/Hackers Berlin   \n",
       "3426         9                                      OK Lab Berlin   \n",
       "1728        19                          Geek Girls Carrots Berlin   \n",
       "1789        19                              Women Who Code Berlin   \n",
       "1657        19         #witas - Women in Tech and Startups Berlin   \n",
       "\n",
       "                                               urlname  rank  \n",
       "690                        Microservices-Meetup-Berlin     1  \n",
       "762                             eBay-Europe-Technology     2  \n",
       "548                                         aws-berlin     3  \n",
       "245                            berlin-machine-learning     1  \n",
       "215                                Apache-Flink-Meetup     2  \n",
       "232                           Berlin-Digital-Analytics     3  \n",
       "142                              Node-js-Meetup-Berlin     1  \n",
       "134                                      Meteor-Berlin     2  \n",
       "10                             AngularJS-Meetup-Berlin     3  \n",
       "1949                             opentechschool-berlin     1  \n",
       "1910                         Geek-Girls-Carrots-Berlin     2  \n",
       "1996                                       up-front-ug     3  \n",
       "1208                                            b-tech     1  \n",
       "1164                                        b2b-berlin     2  \n",
       "1193  Berlin-Innovation-Meetup-for-Personal-Technology     3  \n",
       "858                                 GDG-Berlin-Android     1  \n",
       "864                                          gdgberlin     2  \n",
       "798                               Berlin-Hack-and-Tell     3  \n",
       "1529                              Berlin-UX-Happy-Hour     1  \n",
       "1637                       Usability-Stammtisch-Berlin     2  \n",
       "1577                        IXDS-Pre-Work-Talks-Berlin     3  \n",
       "2647                                 Cocoaheads-Berlin     1  \n",
       "2767                                      swift-berlin     2  \n",
       "2747                               ThoughtWorks-Berlin     3  \n",
       "3376                         Data-Visualization-Berlin     1  \n",
       "3402                              Hacks-Hackers-Berlin     2  \n",
       "3426                                     OK-Lab-Berlin     3  \n",
       "1728                         Geek-Girls-Carrots-Berlin     1  \n",
       "1789                     Women-Who-Code-Berlin-Germany     2  \n",
       "1657           witas-Women-in-Tech-and-Startups-Berlin     3  "
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "berlin_rank = pickle.load(open('../../data/ranking-berlin.pickle', 'rb'))\n",
    "berlin_rank[berlin_rank['rank'] <= 3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>community</th>\n",
       "      <th>group</th>\n",
       "      <th>urlname</th>\n",
       "      <th>rank</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4100</th>\n",
       "      <td>3</td>\n",
       "      <td>Virtual Java User Group</td>\n",
       "      <td>virtualJUG</td>\n",
       "      <td>1</td>\n",
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       "      <th>6342</th>\n",
       "      <td>41</td>\n",
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       "      <td>PyData-London-Meetup</td>\n",
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       "      <th>6311</th>\n",
       "      <td>41</td>\n",
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       "      <td>2</td>\n",
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       "      <th>6033</th>\n",
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       "    <tr>\n",
       "      <th>1085</th>\n",
       "      <td>13</td>\n",
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       "      <th>1217</th>\n",
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       "      <td>2</td>\n",
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       "      <td>LJC - London Java Community</td>\n",
       "      <td>Londonjavacommunity</td>\n",
       "      <td>1</td>\n",
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       "      <th>2514</th>\n",
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       "      <th>2519</th>\n",
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       "      <td>London Software Craftsmanship Community</td>\n",
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       "      <th>2892</th>\n",
       "      <td>20</td>\n",
       "      <td>London DevOps</td>\n",
       "      <td>London-DevOps</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>2712</th>\n",
       "      <td>20</td>\n",
       "      <td>AWS User Group UK</td>\n",
       "      <td>AWSUGUK</td>\n",
       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>3632</th>\n",
       "      <td>28</td>\n",
       "      <td>London Futurists</td>\n",
       "      <td>London-Futurists</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3641</th>\n",
       "      <td>28</td>\n",
       "      <td>London Indie Game Developers</td>\n",
       "      <td>London-Indie-Game-Developers</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3445</th>\n",
       "      <td>28</td>\n",
       "      <td>Augmenting Reality</td>\n",
       "      <td>Augmenting-Reality</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7215</th>\n",
       "      <td>5</td>\n",
       "      <td>London React User Group</td>\n",
       "      <td>London-React-User-Group</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7082</th>\n",
       "      <td>5</td>\n",
       "      <td>HNLondon</td>\n",
       "      <td>HNLondon</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7246</th>\n",
       "      <td>5</td>\n",
       "      <td>London Web</td>\n",
       "      <td>londonweb</td>\n",
       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>4111</th>\n",
       "      <td>30</td>\n",
       "      <td>Adventures with Agile</td>\n",
       "      <td>AdventuresWithAgile</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4120</th>\n",
       "      <td>30</td>\n",
       "      <td>Agile Testing</td>\n",
       "      <td>agiletesting</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4115</th>\n",
       "      <td>30</td>\n",
       "      <td>Agile Coaching Exchange</td>\n",
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       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>6919</th>\n",
       "      <td>44</td>\n",
       "      <td>Women Who Code London</td>\n",
       "      <td>Women-Who-Code-London</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>6587</th>\n",
       "      <td>44</td>\n",
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       "      <td>founderscoders</td>\n",
       "      <td>2</td>\n",
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       "      <th>6877</th>\n",
       "      <td>44</td>\n",
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       "      <td>The-Iron-Yard-London</td>\n",
       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>4913</th>\n",
       "      <td>33</td>\n",
       "      <td>Hardware Pioneers - by Hardware Startup IO</td>\n",
       "      <td>Hardware-Pioneers-by-Hardware-Startup-IO</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>5207</th>\n",
       "      <td>33</td>\n",
       "      <td>Wearables London</td>\n",
       "      <td>Wearables-London</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4927</th>\n",
       "      <td>33</td>\n",
       "      <td>Internet of Things London</td>\n",
       "      <td>iotlondon</td>\n",
       "      <td>3</td>\n",
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      "text/plain": [
       "     community                                       group  \\\n",
       "4100         3                     Virtual Java User Group   \n",
       "4022         3                 LJC - London Java Community   \n",
       "4054         3                   London Scala Users' Group   \n",
       "6342        41                        PyData London Meetup   \n",
       "6311        41                   Neo4j - London User Group   \n",
       "6033        41                         Data Science London   \n",
       "1085        13                             London New Tech   \n",
       "1217        13                          Silicon Roundabout   \n",
       "902         13                  Developers & Entrepreneurs   \n",
       "2411         2                 LJC - London Java Community   \n",
       "2514         2                   London Scala Users' Group   \n",
       "2519         2     London Software Craftsmanship Community   \n",
       "2779        20                    DevOps Exchange - London   \n",
       "2892        20                               London DevOps   \n",
       "2712        20                           AWS User Group UK   \n",
       "3632        28                            London Futurists   \n",
       "3641        28                London Indie Game Developers   \n",
       "3445        28                          Augmenting Reality   \n",
       "7215         5                     London React User Group   \n",
       "7082         5                                    HNLondon   \n",
       "7246         5                                  London Web   \n",
       "4111        30                       Adventures with Agile   \n",
       "4120        30                               Agile Testing   \n",
       "4115        30                     Agile Coaching Exchange   \n",
       "6919        44                       Women Who Code London   \n",
       "6587        44                           Founders & Coders   \n",
       "6877        44        The Iron Yard, London: Learn to code   \n",
       "4913        33  Hardware Pioneers - by Hardware Startup IO   \n",
       "5207        33                            Wearables London   \n",
       "4927        33                   Internet of Things London   \n",
       "\n",
       "                                       urlname  rank  \n",
       "4100                                virtualJUG     1  \n",
       "4022                       Londonjavacommunity     2  \n",
       "4054                              london-scala     3  \n",
       "6342                      PyData-London-Meetup     1  \n",
       "6311                            graphdb-london     2  \n",
       "6033                       Data-Science-London     3  \n",
       "1085                           London-New-Tech     1  \n",
       "1217                         SiliconRoundabout     2  \n",
       "902                   Developers-Entrepreneurs     3  \n",
       "2411                       Londonjavacommunity     1  \n",
       "2514                              london-scala     2  \n",
       "2519             london-software-craftsmanship     3  \n",
       "2779                    DevOps-Exchange-London     1  \n",
       "2892                             London-DevOps     2  \n",
       "2712                                   AWSUGUK     3  \n",
       "3632                          London-Futurists     1  \n",
       "3641              London-Indie-Game-Developers     2  \n",
       "3445                        Augmenting-Reality     3  \n",
       "7215                   London-React-User-Group     1  \n",
       "7082                                  HNLondon     2  \n",
       "7246                                 londonweb     3  \n",
       "4111                       AdventuresWithAgile     1  \n",
       "4120                              agiletesting     2  \n",
       "4115               ACE-Agile-Coaching-Exchange     3  \n",
       "6919                     Women-Who-Code-London     1  \n",
       "6587                            founderscoders     2  \n",
       "6877                      The-Iron-Yard-London     3  \n",
       "4913  Hardware-Pioneers-by-Hardware-Startup-IO     1  \n",
       "5207                          Wearables-London     2  \n",
       "4927                                 iotlondon     3  "
      ]
     },
     "execution_count": 54,
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    }
   ],
   "source": [
    "london_rank = pickle.load(open('../../data/ranking-london.pickle', 'rb'))\n",
    "london_rank[london_rank['rank'] <= 3]"
   ]
  },
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       "      <td>2</td>\n",
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       "      <th>5980</th>\n",
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       "      <td>San Francisco Startup Founder 101</td>\n",
       "      <td>San-Francisco-Startup-Founder-101</td>\n",
       "      <td>3</td>\n",
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       "      <th>4889</th>\n",
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       "      <td>Docker Online Meetup</td>\n",
       "      <td>Docker-Online-Meetup</td>\n",
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       "    <tr>\n",
       "      <th>5003</th>\n",
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       "      <th>817</th>\n",
       "      <td>1</td>\n",
       "      <td>Girl Develop It San Francisco</td>\n",
       "      <td>Girl-Develop-It-San-Francisco</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>923</th>\n",
       "      <td>1</td>\n",
       "      <td>PyLadies of San Francisco</td>\n",
       "      <td>PyLadiesSF</td>\n",
       "      <td>3</td>\n",
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       "      <th>3192</th>\n",
       "      <td>17</td>\n",
       "      <td>GoSF</td>\n",
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       "      <th>3157</th>\n",
       "      <td>17</td>\n",
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       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>3031</th>\n",
       "      <td>17</td>\n",
       "      <td>AWS San Francisco | Official Events</td>\n",
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       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>1655</th>\n",
       "      <td>10</td>\n",
       "      <td>Swift Language User Group (San Francisco)</td>\n",
       "      <td>swift-language</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>1431</th>\n",
       "      <td>10</td>\n",
       "      <td>NSMeetup - San Francisco iPhone iOS Developers...</td>\n",
       "      <td>nsmeetup</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>1683</th>\n",
       "      <td>10</td>\n",
       "      <td>The San Francisco Android User Group</td>\n",
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       "      <td>3</td>\n",
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       "      <th>2192</th>\n",
       "      <td>11</td>\n",
       "      <td>Tech in Motion: San Francisco</td>\n",
       "      <td>TechinMotionSF</td>\n",
       "      <td>1</td>\n",
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       "      <th>1951</th>\n",
       "      <td>11</td>\n",
       "      <td>Mobile Growth SF Bay Area</td>\n",
       "      <td>Bay-Area-Mobile-Growth-Hackers</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2081</th>\n",
       "      <td>11</td>\n",
       "      <td>San Francisco Agile Marketing</td>\n",
       "      <td>San-Francisco-Agile-Marketing</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7952</th>\n",
       "      <td>5</td>\n",
       "      <td>San Francisco Interaction Design Meetup</td>\n",
       "      <td>San-Francisco-Interaction-Design-Meetup</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7729</th>\n",
       "      <td>5</td>\n",
       "      <td>Cascade San Francisco</td>\n",
       "      <td>cascadesf</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7763</th>\n",
       "      <td>5</td>\n",
       "      <td>Enterprise UX</td>\n",
       "      <td>Enterprise-UX</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2330</th>\n",
       "      <td>13</td>\n",
       "      <td>Code for San Francisco - Civic Hack Night</td>\n",
       "      <td>Code-for-San-Francisco-Civic-Hack-Night</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2386</th>\n",
       "      <td>13</td>\n",
       "      <td>Health 2.0 San Francisco</td>\n",
       "      <td>Health2conSF</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2569</th>\n",
       "      <td>13</td>\n",
       "      <td>San Francisco Tech4Good</td>\n",
       "      <td>sfnetsquared</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     community                                              group  \\\n",
       "3650        18                              Bay Area Spark Meetup   \n",
       "3933        18                                    SF Data Science   \n",
       "3932        18                                     SF Data Mining   \n",
       "196          0                                              HTML5   \n",
       "599          0                           The SF JavaScript Meetup   \n",
       "141          0  Dev Bootcamp San Francisco Speaker & Workshop ...   \n",
       "6000        29            Silicon Valley Entrepreneurs & Startups   \n",
       "5771        29                       Mobile Monday Silicon Valley   \n",
       "5980        29                  San Francisco Startup Founder 101   \n",
       "4889        23                               Docker Online Meetup   \n",
       "5003        23                                    SFBay OpenStack   \n",
       "4890        23                               Docker San Francisco   \n",
       "1179         1                                  Women Who Code SF   \n",
       "817          1                      Girl Develop It San Francisco   \n",
       "923          1                          PyLadies of San Francisco   \n",
       "3192        17                                               GoSF   \n",
       "3157        17                               Docker San Francisco   \n",
       "3031        17                AWS San Francisco | Official Events   \n",
       "1655        10          Swift Language User Group (San Francisco)   \n",
       "1431        10  NSMeetup - San Francisco iPhone iOS Developers...   \n",
       "1683        10               The San Francisco Android User Group   \n",
       "2192        11                      Tech in Motion: San Francisco   \n",
       "1951        11                          Mobile Growth SF Bay Area   \n",
       "2081        11                      San Francisco Agile Marketing   \n",
       "7952         5            San Francisco Interaction Design Meetup   \n",
       "7729         5                              Cascade San Francisco   \n",
       "7763         5                                      Enterprise UX   \n",
       "2330        13          Code for San Francisco - Civic Hack Night   \n",
       "2386        13                           Health 2.0 San Francisco   \n",
       "2569        13                            San Francisco Tech4Good   \n",
       "\n",
       "                                               urlname  rank  \n",
       "3650                                       spark-users     1  \n",
       "3933                                   SF-Data-Science     2  \n",
       "3932                                       Data-Mining     3  \n",
       "196                                            sfhtml5     1  \n",
       "599                                           jsmeetup     2  \n",
       "141   DBCx-SF-Dev-Bootcamp-San-Francisco-Open-Learning     3  \n",
       "6000                                   sventrepreneurs     1  \n",
       "5771                      Mobile-Monday-Silicon-Valley     2  \n",
       "5980                 San-Francisco-Startup-Founder-101     3  \n",
       "4889                              Docker-Online-Meetup     1  \n",
       "5003                                         openstack     2  \n",
       "4890                                    Docker-meetups     3  \n",
       "1179                                 Women-Who-Code-SF     1  \n",
       "817                      Girl-Develop-It-San-Francisco     2  \n",
       "923                                         PyLadiesSF     3  \n",
       "3192                                          golangsf     1  \n",
       "3157                                    Docker-meetups     2  \n",
       "3031                                  AWS-SANFRANCISCO     3  \n",
       "1655                                    swift-language     1  \n",
       "1431                                          nsmeetup     2  \n",
       "1683                                         sfandroid     3  \n",
       "2192                                    TechinMotionSF     1  \n",
       "1951                    Bay-Area-Mobile-Growth-Hackers     2  \n",
       "2081                     San-Francisco-Agile-Marketing     3  \n",
       "7952           San-Francisco-Interaction-Design-Meetup     1  \n",
       "7729                                         cascadesf     2  \n",
       "7763                                     Enterprise-UX     3  \n",
       "2330           Code-for-San-Francisco-Civic-Hack-Night     1  \n",
       "2386                                      Health2conSF     2  \n",
       "2569                                      sfnetsquared     3  "
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sf_rank = pickle.load(open('../../data/ranking-sanfrancisco.pickle', 'rb'))\n",
    "sf_rank[sf_rank['rank'] <= 3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# What else can we do?\n",
    "\n",
    "### A look at event descriptions and group topics\n",
    "\n",
    "- Each Group specifies a number of Topics that are discussed\n",
    "- Each Event has a title / name\n",
    "    - Often generic (e.g. *March Meetup*)\n",
    "- Each Event has a description text\n",
    "    - Contains HTML\n",
    "    - Different languages"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "#### Topics\n",
    "- Specified at group creation time, remain static\n",
    "- Sometimes too generic (e.g. *computer programming*)\n",
    "\n",
    "#### Event descriptions\n",
    "- Dynamic, specific to each event\n",
    "- Probably too sparse to detect trends\n",
    "- Unstructured"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# The Big Idea\n",
    "- Use topics to determine what a group is about\n",
    "- Find terms / phrases related to topics in event descriptions\n",
    "- Link communities to topics, which are linked to similar phrases from descriptions\n",
    "- Visualise using a network of communities, topics and phrases / "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Implementation\n",
    "\n",
    "- Use all event descriptions from all cities\n",
    "- Filter for English only (for now)\n",
    "    - https://pypi.python.org/pypi/langdetect\n",
    "    - Very slow; parallelize using Apache Spark (on local machine)\n",
    "- Strip HTML\n",
    "    - http://www.crummy.com/software/BeautifulSoup/\n",
    "    - Also parallelized using a Spark job\n",
    "- Run Word2Vec on all description texts\n",
    "    - https://radimrehurek.com/gensim/\n",
    "    - Quite fast and internally parallel"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Local parallelism using Apache Spark\n",
    "\n",
    "```sh\n",
    "IPYTHON=1 IPYTHON_OPTS=\"notebook\" \\\n",
    "MASTER=\"local[8]\" \\\n",
    "PYSPARK_PYTHON=~/.virtualenvs/pandas3/bin/python \\\n",
    "/path/to/spark/bin/pyspark\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "```python\n",
    "groups_rdd = sc.parallelize([\n",
    "        r.group_id\n",
    "        for r in neo.cypher.execute('''\n",
    "        match (g:Group) return id(g) as group_id\n",
    "        ''')\n",
    "    ],\n",
    "   numSlices=32)\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "```python\n",
    "def fetch(group_id):\n",
    "    # Fetch events\n",
    "    return py2neo.Graph().cypher.execute_one('''\n",
    "    match (g:Group)-[:ORGANISED]->(e:Event)\n",
    "    where id(g) = %d and e.description is not null\n",
    "    return e.description as description\n",
    "    ''' % group_id)\n",
    "\n",
    "# Fetch from database in parallel and run language detection\n",
    "descriptions = (\n",
    "    groups.map(fetch)\n",
    "          .filter(lambda d: detect_language(d) == 'en')\n",
    "          .collect()\n",
    ")\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Example model output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# Model pre-trained according to outline in slides above\n",
    "word_model = Word2Vec.load('../../data/wordmodel.dat')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('computer_vision', 0.643240213394165),\n",
       " ('statistical_modeling', 0.6410253047943115),\n",
       " ('deep_learning', 0.6373422741889954),\n",
       " ('data_mining', 0.6365264654159546)]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "word_model.most_similar('machine_learning', topn=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('android', 0.6600622534751892),\n",
       " ('windows_phone', 0.5483430027961731),\n",
       " ('iphone', 0.5205056667327881),\n",
       " ('mobile', 0.5019518136978149)]"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "word_model.most_similar('ios', topn=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('lean', 0.6398012638092041),\n",
       " ('scrum', 0.5934792160987854),\n",
       " ('kanban', 0.5554754734039307),\n",
       " ('lean_ux', 0.5510423183441162)]"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "word_model.most_similar('agile', topn=4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Visualizing\n",
    "- Each community represented as a document\n",
    "    - Consists of all topics present for the top-10 meetup groups in the community\n",
    "    - Duplicates possible\n",
    "- For each community, use top-n topics, according to TfIdf score\n",
    "    - Using scikit-learn TfidfVectorizer\n",
    "    - Works directly on pandas DataFrame values\n",
    "- Link top-n topics to communities\n",
    "- For each topic:\n",
    "    - Link to top-n most similar terms from Word2Vec model\n",
    "    - Recursively repeat until termination criterium\n",
    "- Visualize as graph"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Finally\n",
    "\n",
    "# http://localhost:8000"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Thank you for listening\n",
    "\n",
    "### We're hiring: http://www.godatadriven.com/careers.html\n",
    "\n",
    "## Q&A\n",
    "\n",
    "Friso van Vollenhoven\n",
    "\n",
    "[@fzk](https://twitter.com/fzk)"
   ]
  }
 ],
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