{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:28.889526Z", "start_time": "2018-06-07T12:08:28.842935Z" }, "slideshow": { "slide_type": "skip" } }, "outputs": [ { "data": { "text/html": [ " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%%HTML\n", " " ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:28.898606Z", "start_time": "2018-06-07T12:08:28.891822Z" }, "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "from IPython.display import Image\n", "\n", "import warnings\n", "warnings.filterwarnings(\"ignore\", category=DeprecationWarning) " ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# Data Science with Python\n", "\n", "Andrew Bolster \n", "* [bolster.online](https://bolster.online)\n", "* Tweets [@bolster](https://twitter.bolster.online)\n", "* GitHubs at [andrewbolster](https://github.com/andrewbolster)\n", "* Works at [Sensum Co](https://sensum.co) **We're hiring DS/DevOps**\n", "* Plays at [Farset Labs](https://www.farsetlabs.org.uk)\n", "* **[THIS NOTEBOOK IS AT present.bolster.online](http://present.bolster.online)**\n", "* [Also available in source at presentgh.bolster.online](http://presentgh.bolster.online)\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "# Zee Plan\n", "\n", "* Bit about me\n", "* A bit about the local open data and data science ecosystem\n", "* What I think you know\n", "* Repeat last weeks tasks in a fraction of the time\n", "* Throw you in the deep end with a data cleaning exercise." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "# About me\n", "\n", "* MEng Electronics & Software Engineering (QUB)\n", "* PhD Autonomous Systems (DSTL/MoD/NATO/UoL)\n", "* Charity Founder / Director (Farset Labs)\n", "* Open Data Activist (DF Open Data Advisory Panellist) \n", "* STEM Educator (CoderDojo, CodeCoop, STEMNET)\n", "* Data Scientist (Sensum/Free time)\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# Data Science in Northern Ireland\n", "\n", "Data Science: \"Turning Multi-modal data into actionable insights\"\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "AKA: \"Turning Numbers into Other Numbers, and occasionally graphs\"" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "![](dozens.gif)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## Vibrant Corporate Ecosystem\n", "\n", "* [Analytics Engines](http://www.analyticsengines.com/)\n", "* [AquaQ Analytics](https://www.aquaq.co.uk/)\n", "* [Kainos](https://www.kainos.com/)\n", "* [Flexera|BDNA](https://www.bdna.com/category/flexera/)\n", "* [First Derivitives](https://www.firstderivatives.com/)\n", "* [Neueda](http://www.neueda.com/)\n", "* [Sensum](https://sensum.co/)\n", "* [BrainwaveBank](https://www.brainwavebank.com/)\n", "* Many Many _Many_ More" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## Open Source / Meetup Ecosystem too\n", "***Hint: If you really want to learn data science, go to/get involved in some of these***\n", "\n", "* [IoT Belfast](https://www.meetup.com/IOTBelfast/) - _TOMORROW_\n", "* [IoT Alliance](https://www.meetup.com/Belfast-New-Technology-Meetup/)\n", "* [PyBelfast](https://www.meetup.com/PyBelfast/)\n", "* [Code Co-op NI](https://www.meetup.com/CodeCoop-NI/)\n", "* [Data Art Belfast](https://www.meetup.com/Data-Art-Belfast/)\n", "* [Big Data Belfast Breakout](https://www.meetup.com/Big-Data-Belfast-Breakout/)\n", "* [Women Who Code Belfast](https://www.meetup.com/Women-Who-Code-Belfast/)\n", "* [Docker Belfast](https://www.meetup.com/Docker-Belfast/)\n", "* [DevOps Belfast](https://www.meetup.com/DevOps-Belfast/)\n", "* [DevSecOps Belfast](https://www.meetup.com/devsecops-belfast/)\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "***Hint the Second: These are the _best_ ways to get a job in the field***" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## Engaged local Government/ComVol support\n", "\n", "* [OpenData NI](https://www.opendatani.gov.uk/)\n", "* [DetailData](http://data.nicva.org/)\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## Other People Actually Know about what we're doing in NI\n", "\n", "* [Big Data Belfast Conference](http://www.bigdatabelfast.com/)\n", "* [ODCamp](http://odcamp.co.uk/)" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2017-10-23T07:38:11.893270Z", "start_time": "2017-10-23T07:38:11.675460Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "![](careers_1.jpg)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "![](fhrs.jpg)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# Enough Waffle, show me the numbers!\n", "## What I think you know\n", "\n", "* CSV / JSON / XML File Structures\n", "* Python Standard Library\n", "* Open Data NI\n", "* Stack Overflow" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## Setup/Requirements\n", "```bash\n", "conda install pandas numpy geopandas shapely\n", "pip install ckanapi\n", "```\n", "\n", "I would advise you grab this notebook from here instead of frantically trying to keep up...\n", "* **[present.bolster.online](http://present.bolster.online)**\n", "* [Also available in source at presentgh.bolster.online](http://presentgh.bolster.online)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:31.910655Z", "start_time": "2018-06-07T12:08:29.895748Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "from matplotlib import pyplot as plt\n", "plt.rcParams.update({'figure.max_open_warning': 0})\n", "graph_figsize = (10,6) # I'm forgetful and lazy\n", "\n", "%matplotlib nbagg\n", " # Jupyter Magics!\n", "\n", "from ckanapi import RemoteCKAN # Access to ODNI\n", "import pandas as pd # Pandas shorthand\n", "import numpy as np # Maths\n", "import os # System Operations" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# Python Reminders\n", "## Variables and Math" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:31.917012Z", "start_time": "2018-06-07T12:08:31.912855Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "5\n" ] } ], "source": [ "variable = 5\n", "print(variable)" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2017-10-23T12:00:59.399323Z", "start_time": "2017-10-23T12:00:59.381960Z" }, "slideshow": { "slide_type": "fragment" } }, "source": [ "Basic Math Operations" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:31.923257Z", "start_time": "2018-06-07T12:08:31.919034Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "25\n" ] } ], "source": [ "print(variable * 5)" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2017-10-23T12:00:59.416985Z", "start_time": "2017-10-23T12:00:59.400994Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "## Tricky \"Math\" Operations" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:31.931177Z", "start_time": "2018-06-07T12:08:31.926624Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [], "source": [ "output = variable * \"na\" + \", batman\"\n", "# Can guess what it is yet?" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:31.937508Z", "start_time": "2018-06-07T12:08:31.933569Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "nanananana, batman\n" ] } ], "source": [ "print(output)" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2017-10-23T12:00:59.454342Z", "start_time": "2017-10-23T12:00:59.435213Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "## Loops and Lists\n", "Loops are good." ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:31.948578Z", "start_time": "2018-06-07T12:08:31.940438Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "na,na,\n", "na,na,\n", "na,na,\n", "na,na,\n", "na,na,\n", "na,na,\n", "na,na,\n", "na,na,\n", "batman!\n" ] } ], "source": [ "for i in range(8):\n", " for j in range(2):\n", " print('na,', end='')\n", " print()\n", "print('batman!')" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2017-10-23T12:00:59.471480Z", "start_time": "2017-10-23T12:00:59.455887Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "Lists are things" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:31.960747Z", "start_time": "2018-06-07T12:08:31.952135Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['thing 1', 'thing 2']\n" ] } ], "source": [ "variable = ['thing 1','thing 2']\n", "print(variable)" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2017-10-23T12:00:59.489940Z", "start_time": "2017-10-23T12:00:59.473245Z" }, "slideshow": { "slide_type": "fragment" } }, "source": [ "Lists are things that you can loop on" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:31.968941Z", "start_time": "2018-06-07T12:08:31.963332Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "This is thing 1\n", "This is thing 2\n" ] } ], "source": [ "variable = ['thing 1','thing 2']\n", "for thing in variable:\n", " print(\"This is \"+thing)" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2017-10-23T12:00:59.507937Z", "start_time": "2017-10-23T12:00:59.491869Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "## Loopy Lists\n", "You can combine lists and loops in \"List Comprehensions\"" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:31.976490Z", "start_time": "2018-06-07T12:08:31.973068Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['This is thing 1', 'This is thing 2']\n" ] } ], "source": [ "print(['This is '+thing for thing in variable])" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:31.984456Z", "start_time": "2018-06-07T12:08:31.979957Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[1, 2, 4, 8, 16, 32]\n" ] } ], "source": [ "my_powers = [2**i for i in range(6)]\n", "print(my_powers)" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2017-10-23T12:00:59.541483Z", "start_time": "2017-10-23T12:00:59.526978Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "## Files\n", "You can do fancy things with file contexts" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:31.991762Z", "start_time": "2018-06-07T12:08:31.986806Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "with open('writer.txt', 'w') as file:\n", " file.write('Hi there from python')" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:32.001535Z", "start_time": "2018-06-07T12:08:31.994808Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['Hi there from python']\n" ] } ], "source": [ "with open('writer.txt', 'r') as same_file:\n", " print(same_file.readlines())" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# Pandas\n", "\n", "* It's MASSIVE\n", "* It's PAWRFUL\n", "* It's sometimes fiddly.\n", "\n", "But it's awesome so lets just plod on.\n", "\n", "I will be moving fast so keep up and ask questions!" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:32.087111Z", "start_time": "2018-06-07T12:08:32.004339Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " 0 1 2 3\n", "0 1 2 3 4\n", "1 5 6 7 8" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# List of Tuples\n", "d = [(1, 2 ,3 ,4), (5, 6, 7, 8)]\n", "df = pd.DataFrame(data=d)\n", "df" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:32.134778Z", "start_time": "2018-06-07T12:08:32.122242Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " 0 1 2 3\n", "row1 1 2 3 4\n", "row2 5 6 7 8" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Dict of Lists; rowwise\n", "d = {'row1': [1,2,3,4], 'row2': [5,6,7,8]}\n", "df = pd.DataFrame.from_dict(d, orient='index')\n", "df" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:32.149087Z", "start_time": "2018-06-07T12:08:32.137351Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " 0 1 2 3 4\n", "row1 1 2 3 4 10\n", "row2 5 6 7 8 10" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Add Column\n", "df[4] = [10,10]\n", "df" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:32.164916Z", "start_time": "2018-06-07T12:08:32.151379Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " 0 1 2 3 4 somevalue\n", "row1 1 2 3 4 10 1\n", "row2 5 6 7 8 10 1\n", "row0 10 10 10 10 0 1" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Pandas will fill the row/col if you just give it one value\n", "df['somevalue'] = 1\n", "df" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:32.189886Z", "start_time": "2018-06-07T12:08:32.179156Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " zero 1 2 3 4\n", "row1 1 2 3 4 10\n", "row0 10 10 10 10 0" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Rename columns\n", "df.rename(columns={0:'zero'})\n" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:32.239946Z", "start_time": "2018-06-07T12:08:32.229948Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " 0 1 2 3 4\n", "row1 1 2 3 4 10\n", "row0 10 10 10 10 0" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Note: Many pandas operations only return a 'view', doesn't change\n", "df" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:32.250671Z", "start_time": "2018-06-07T12:08:32.242105Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " zero 1 2 3 4\n", "row1 1 2 3 4 10\n", "row0 10 10 10 10 0" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Rename in place\n", "df.rename(columns={0:'zero'}, inplace=True)\n", "df" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:32.265781Z", "start_time": "2018-06-07T12:08:32.252785Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " zero 1 2 3 4 subtotal\n", "row1 1 2 3 4 10 20\n", "row0 10 10 10 10 0 40" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Create new, useful, columns\n", "df['subtotal'] = df.sum(axis=1)\n", "df" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:32.601494Z", "start_time": "2018-06-07T12:08:32.268142Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Make meaningless graphs!\n", "df.plot()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# And now for something familiar in an unfamiliar way\n", "## [The Food Premise Hygine Ratings](https://www.opendatani.gov.uk/dataset/food-premise-hygiene-ratings)\n", "\n", "You lot should be experts at this, so feel free to correct me when it gets boring!" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:32.613810Z", "start_time": "2018-06-07T12:08:32.603310Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "# This is some magic that you don't need to worry about, but ask me about it at the end\n", "\n", "def dataset_generator(resource_id): \n", " \"\"\"A Generator that yields records from a given dataset resource id\"\"\"\n", " ua = 'ItsBolster/29.5 (+http://farsetlabs.org.uk/)'\n", " demo = RemoteCKAN('https://www.opendatani.gov.uk/', user_agent=ua)\n", " offset=0\n", " while True:\n", " datastore_page = demo.action.datastore_search(resource_id=resource_id, offset=offset)\n", " if not datastore_page['records']:\n", " raise StopIteration\n", " for record in datastore_page['records']:\n", " yield record ## Execution is passed back to the caller here\n", " offset+=1" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:37.931970Z", "start_time": "2018-06-07T12:08:32.615995Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "
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_idbuildingidestablishmentaddressline1establishmentaddressline2establishmentaddressline3establishmentaddressline4establishmentnameinspectiondatelatitudelongitudepostcoderating
011850034951 Corry PlaceBelfastHeyn Group2012-08-23T00:00:00375525334581BT3 9AH5
12185746347Rosemary Presbyterian Church26-36 North Circular RoadBelfastRosemary Lunch Club2014-10-21T00:00:00378213332938BT15 5HD5
2318500180737 Montgomery StreetBelfastJohn Ross & Co Auctioneers2015-03-19T00:00:00373992334055BT1 4NX4
34185000821108 Donegall StreetBelfastThe Maverick/Boom Box2014-11-03T00:00:00374852333733BT1 2GX5
451871297051 Union StreetMaverick2014-02-13T00:00:00378435281262BT1 2JF4
\n", "
" ], "text/plain": [ " _id buildingid establishmentaddressline1 establishmentaddressline2 \\\n", "0 1 185003495 \n", "1 2 185746347 Rosemary Presbyterian Church \n", "2 3 185001807 \n", "3 4 185000821 \n", "4 5 187129705 \n", "\n", " establishmentaddressline3 establishmentaddressline4 \\\n", "0 1 Corry Place Belfast \n", "1 26-36 North Circular Road Belfast \n", "2 37 Montgomery Street Belfast \n", "3 108 Donegall Street Belfast \n", "4 1 Union Street \n", "\n", " establishmentname inspectiondate latitude longitude \\\n", "0 Heyn Group 2012-08-23T00:00:00 375525 334581 \n", "1 Rosemary Lunch Club 2014-10-21T00:00:00 378213 332938 \n", "2 John Ross & Co Auctioneers 2015-03-19T00:00:00 373992 334055 \n", "3 The Maverick/Boom Box 2014-11-03T00:00:00 374852 333733 \n", "4 Maverick 2014-02-13T00:00:00 378435 281262 \n", "\n", " postcode rating \n", "0 BT3 9AH 5 \n", "1 BT15 5HD 5 \n", "2 BT1 4NX 4 \n", "3 BT1 2GX 5 \n", "4 BT1 2JF 4 " ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Why Pandas is Awesome\n", "df = pd.DataFrame.from_records(dataset_generator('3d998bd3-ecbe-4087-a653-ea11448ea53f'))\n", "df.head()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## Tasks\n", "1. Print a list containing all field names in the header\n", "2. Print a list of all postcodes\n", "3. Print a list of all establishment names that do not have a\n", "recorded postcode.\n", "4. Print a list of all establishment names that are missing any\n", "item of information" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2017-10-23T12:16:22.634749Z", "start_time": "2017-10-23T12:16:22.599129Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "### Print a list containing all field names in the header" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:37.939920Z", "start_time": "2018-06-07T12:08:37.934071Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/plain": [ "['_id',\n", " 'buildingid',\n", " 'establishmentaddressline1',\n", " 'establishmentaddressline2',\n", " 'establishmentaddressline3',\n", " 'establishmentaddressline4',\n", " 'establishmentname',\n", " 'inspectiondate',\n", " 'latitude',\n", " 'longitude',\n", " 'postcode',\n", " 'rating']" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "list(df.keys())" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2017-10-23T12:01:05.358738Z", "start_time": "2017-10-23T12:01:05.328195Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "### Print a list of all postcodes" ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:37.950062Z", "start_time": "2018-06-07T12:08:37.942425Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['', 'BT1 1AA', 'BT1 1AL', 'BT1 1BL', 'BT1 1DA', 'BT1 1DD', 'BT1 1DJ', 'BT1 1DL', 'BT1 1DN', 'BT1 1EA', 'BT1 1FB', 'BT1 1FE', 'BT1 1FF', 'BT1 1FG', 'BT1 1FJ', 'BT1 1FP', 'BT1 1FY', 'BT1 1GA', 'BT1 1GB', 'BT1 1GH', 'BT1 1GJ', 'BT1 1HB', 'BT1 1HD', 'BT1 1HE', 'BT1 1HL', 'BT1 1HS', 'BT1 1HU', 'BT1 1HY', 'BT1 1JE', 'BT1 1JL', 'BT1 1JN', 'BT1 1JQ', 'BT1 1LA', 'BT1 1LE', 'BT1 1LS', 'BT1 1LT', 'BT1 1LU', 'BT1 1NA', 'BT1 1NB', 'BT1 1ND', 'BT1 1PE', 'BT1 1PG', 'BT1 1QA', 'BT1 1QB', 'BT1 1QN', 'BT1 1RB', 'BT1 1RD', 'BT1 2AA', 'BT1 2AB', 'BT1 2BD', 'BT1 2BE', 'BT1 2DX', 'BT1 2DY', 'BT1 2DZ', 'BT1 2ED', 'BT1 2FF', 'BT1 2FH', 'BT1 2FJ', 'BT1 2GP', 'BT1 2GT', 'BT1 2GW', 'BT1 2GX', 'BT1 2GY', 'BT1 2JD', 'BT1 2JF', 'BT1 2JG', 'BT1 2JH', 'BT1 2LA', 'BT1 2LB', 'BT1 2LD', 'BT1 2LH', 'BT1 2LQ', 'BT1 2LR', 'BT1 2LZ', 'BT1 2NB', 'BT1 2NJ', 'BT1 2NQ', 'BT1 3AA', 'BT1 3AF', 'BT1 3AH', 'BT1 3AJ', 'BT1 3AL', 'BT1 3BG', 'BT1 3BH', 'BT1 3BS', 'BT1 3BT', 'BT1 3BU', 'BT1 3EA', 'BT1 3EB', 'BT1 3EQ', 'BT1 3ES', 'BT1 3FG', 'BT1 3FJ', 'BT1 3GE', 'BT1 3GH', 'BT1 3GL', 'BT1 3GN', 'BT1 3HH', 'BT1 3JA', 'BT1 3JL', 'BT1 3JQ', 'BT1 3LA', 'BT1 3LG', 'BT1 3LL', 'BT1 3LP', 'BT1 3NL', 'BT1 3NQ', 'BT1 3NR', 'BT1 3PH', 'BT1 3WH', 'BT1 4DA', 'BT1 4DB', 'BT1 4DQ', 'BT1 4DR', 'BT1 4DT', 'BT1 4EA', 'BT1 4EB', 'BT1 4EF', 'BT1 4EG', 'BT1 4EH', 'BT1 4EJ', 'BT1 4FF', 'BT1 4FT', 'BT1 4GA', 'BT1 4GB', 'BT1 4GG', 'BT1 4GH', 'BT1 4GJ', 'BT1 4GQ', 'BT1 4HW', 'BT1 4JA', 'BT1 4JB', 'BT1 4JE', 'BT1 4LA', 'BT1 4LS', 'BT1 4NN', 'BT1 4NX', 'BT1 4PE', 'BT1 4QG', 'BT1 4QL', 'BT1 4QN', 'BT1 5AA', 'BT1 5AB', 'BT1 5AJ', 'BT1 5AW', 'BT1 5BA', 'BT1 5BB', 'BT1 5BN', 'BT1 5BY', 'BT1 5DA', 'BT1 5DB', 'BT1 5DG', 'BT1 5DP', 'BT1 5EA', 'BT1 5EB', 'BT1 5ED', 'BT1 5EE', 'BT1 5FE', 'BT1 5FF', 'BT1 5GB', 'BT1 5GS', 'BT1 5HB', 'BT1 5HE', 'BT1 5JA', 'BT1 5JD', 'BT1 5UB', 'BT1 6AD', 'BT1 6BS', 'BT1 6BT', 'BT1 6DL', 'BT1 6DU', 'BT1 6DY', 'BT1 6EA', 'BT1 6ED', 'BT1 6EF', 'BT1 6ET', 'BT1 6FD', 'BT1 6GB', 'BT1 6GE', 'BT1 6HT', 'BT1 6JA', 'BT1 6JH', 'BT1 6JS', 'BT1 6NB', 'BT1 6PA', 'BT1 6PF', 'BT1 6PG', 'BT1 6PW', 'BT1 IHF', 'BT10 0AA', 'BT10 0BB', 'BT10 0BD', 'BT10 0BE', 'BT10 0BG', 'BT10 0BN', 'BT10 0BW', 'BT10 0DG', 'BT10 0DJ', 'BT10 0DR', 'BT10 0GE', 'BT10 0GW', 'BT10 0GX', 'BT10 0GY', 'BT10 0HQ', 'BT10 0JA', 'BT10 0JB', 'BT10 0JH', 'BT10 0JJ', 'BT10 0JS', 'BT10 0LA', 'BT10 0LE', 'BT10 0LF', 'BT10 0LG', 'BT10 0LH', 'BT10 0LJ', 'BT10 0LN', 'BT10 0LP', 'BT10 0NB', 'BT10 0NE', 'BT10 0NF', 'BT11 8AY', 'BT11 8BA', 'BT11 8BD', 'BT11 8BG', 'BT11 8BH', 'BT11 8BL', 'BT11 8BN', 'BT11 8BU', 'BT11 8BW', 'BT11 8BX', 'BT11 8DX', 'BT11 8EF', 'BT11 8EJ', 'BT11 8EL', 'BT11 8FE', 'BT11 8GD', 'BT11 8GE', 'BT11 8GX', 'BT11 8HQ', 'BT11 8HR', 'BT11 8HT', 'BT11 8JF', 'BT11 8JP', 'BT11 8LT', 'BT11 8LU', 'BT11 8NE', 'BT11 8NF', 'BT11 8PA', 'BT11 8QB', 'BT11 8QS', 'BT11 9AB', 'BT11 9AE', 'BT11 9AF', 'BT11 9AH', 'BT11 9AJ', 'BT11 9AN', 'BT11 9AP', 'BT11 9BH', 'BT11 9BQ', 'BT11 9BT', 'BT11 9BU', 'BT11 9BW', 'BT11 9BX', 'BT11 9BY', 'BT11 9BZ', 'BT11 9DA', 'BT11 9DS', 'BT11 9DT', 'BT11 9EA', 'BT11 9EB', 'BT11 9EH', 'BT11 9EL', 'BT11 9FG', 'BT11 9FZ', 'BT11 9GE', 'BT11 9GS', 'BT11 9HF', 'BT11 9JD', 'BT11 9JP', 'BT11 9JQ', 'BT11 9JY', 'BT11 9LW', 'BT11 9NS', 'BT11 9PB', 'BT11 9PE', 'BT11 9PG', 'BT11 9PH', 'BT11 9PR', 'BT11 9QF', 'BT11 9QL', 'BT11 9QR', 'BT11 9QS', 'BT12 4AD', 'BT12 4AH', 'BT12 4AQ', 'BT12 4DH', 'BT12 4EJ', 'BT12 4GB', 'BT12 4GL', 'BT12 4GX', 'BT12 4HG', 'BT12 4HL', 'BT12 4HQ', 'BT12 4JR', 'BT12 4JT', 'BT12 4LD', 'BT12 4LL', 'BT12 4LP', 'BT12 4PD', 'BT12 4PE', 'BT12 4PP', 'BT12 4SG', 'BT12 5AB', 'BT12 5AD', 'BT12 5AH', 'BT12 5AT', 'BT12 5BJ', 'BT12 5BL', 'BT12 5EE', 'BT12 5ET', 'BT12 5EW', 'BT12 5EX', 'BT12 5EY', 'BT12 5GH', 'BT12 5HU', 'BT12 5HX', 'BT12 5JJ', 'BT12 5JL', 'BT12 5JN', 'BT12 5JS', 'BT12 5LA', 'BT12 5ND', 'BT12 5NE', 'BT12 5NS', 'BT12 6AA', 'BT12 6AD', 'BT12 6AE', 'BT12 6AF', 'BT12 6AG', 'BT12 6AH', 'BT12 6AL', 'BT12 6AU', 'BT12 6AW', 'BT12 6AX', 'BT12 6BA', 'BT12 6BZ', 'BT12 6DD', 'BT12 6DE', 'BT12 6DG', 'BT12 6DJ', 'BT12 6EA', 'BT12 6EN', 'BT12 6EU', 'BT12 6FB', 'BT12 6FD', 'BT12 6FE', 'BT12 6FF', 'BT12 6FQ', 'BT12 6FR', 'BT12 6FW', 'BT12 6FX', 'BT12 6HE', 'BT12 6HF', 'BT12 6HN', 'BT12 6HP', 'BT12 6HR', 'BT12 6HS', 'BT12 6HT', 'BT12 6HU', 'BT12 6HW', 'BT12 6JA', 'BT12 6LP', 'BT12 6LU', 'BT12 6NB', 'BT12 6NE', 'BT12 6NQ', 'BT12 6QA', 'BT12 6QB', 'BT12 6RH', 'BT12 6SJ', 'BT12 6TA', 'BT12 7AB', 'BT12 7AD', 'BT12 7AE', 'BT12 7AG', 'BT12 7AH', 'BT12 7AJ', 'BT12 7AL', 'BT12 7AQ', 'BT12 7AU', 'BT12 7AW', 'BT12 7AX', 'BT12 7BA', 'BT12 7BQ', 'BT12 7DD', 'BT12 7DG', 'BT12 7DJ', 'BT12 7DN', 'BT12 7DQ', 'BT12 7DR', 'BT12 7DU', 'BT12 7DW', 'BT12 7DX', 'BT12 7EX', 'BT12 7FN', 'BT12 7FP', 'BT12 7FQ', 'BT12 7FW', 'BT12 7FX', 'BT12 7GG', 'BT12 7HS', 'BT12 7JD', 'BT12 7JE', 'BT12 7JG', 'BT12 7JL', 'BT12 7JZ', 'BT12 7LA', 'BT12 7LS', 'BT12 7NA', 'BT12 7NB', 'BT12 7NH', 'BT12 7NN', 'BT12 7NW', 'BT12 7PD', 'BT12 7PF', 'BT12 7PG', 'BT12 7PJ', 'BT12 7PL', 'BT12 7PR', 'BT12 7PS', 'BT12 7PX', 'BT12 7QH', 'BT12 7QL', 'BT12 7QX', 'BT12 7RF', 'BT12 7RS', 'BT13 1AA', 'BT13 1AB', 'BT13 1AD', 'BT13 1AR', 'BT13 1BX', 'BT13 1DF', 'BT13 1DP', 'BT13 1DR', 'BT13 1DT', 'BT13 1ER', 'BT13 1FD', 'BT13 1FP', 'BT13 1FQ', 'BT13 1FR', 'BT13 1FT', 'BT13 1FX', 'BT13 1HW', 'BT13 1JB', 'BT13 1JJ', 'BT13 1LT', 'BT13 1LY', 'BT13 1QD', 'BT13 1QG', 'BT13 1RT', 'BT13 1RU', 'BT13 2AD', 'BT13 2BA', 'BT13 2BB', 'BT13 2BD', 'BT13 2BE', 'BT13 2BH', 'BT13 2BJ', 'BT13 2BN', 'BT13 2DE', 'BT13 2DR', 'BT13 2ES', 'BT13 2HS', 'BT13 2HT', 'BT13 2HZ', 'BT13 2JF', 'BT13 2JR', 'BT13 2QW', 'BT13 2RH', 'BT13 2RL', 'BT13 2SE', 'BT13 3AB', 'BT13 3AD', 'BT13 3AE', 'BT13 3AF', 'BT13 3AG', 'BT13 3BN', 'BT13 3BP', 'BT13 3BS', 'BT13 3BT', 'BT13 3BU', 'BT13 3DH', 'BT13 3DQ', 'BT13 3EP', 'BT13 3FR', 'BT13 3GD', 'BT13 3GG', 'BT13 3GH', 'BT13 3GQ', 'BT13 3GW', 'BT13 3HT', 'BT13 3HX', 'BT13 3JB', 'BT13 3JH', 'BT13 3JJ', 'BT13 3LA', 'BT13 3LB', 'BT13 3LD', 'BT13 3LF', 'BT13 3NE', 'BT13 3NG', 'BT13 3NH', 'BT13 3NW', 'BT13 3PQ', 'BT13 3PU', 'BT13 3PW', 'BT13 3QF', 'BT13 3QQ', 'BT13 3QX', 'BT13 3RP', 'BT13 3RQ', 'BT13 3SE', 'BT13 3SR', 'BT13 3ST', 'BT13 3TA', 'BT13 3TT', 'BT13 3TU', 'BT13 3XZ', 'BT14 6AA', 'BT14 6AD', 'BT14 6BP', 'BT14 6BS', 'BT14 6BY', 'BT14 6DW', 'BT14 6EN', 'BT14 6FW', 'BT14 6GN', 'BT14 6HH', 'BT14 6HP', 'BT14 6JH', 'BT14 6JL', 'BT14 6JR', 'BT14 6JT', 'BT14 6JU', 'BT14 6JX', 'BT14 6JZ', 'BT14 6LA', 'BT14 6LB', 'BT14 6LE', 'BT14 6LN', 'BT14 6LZ', 'BT14 6NH', 'BT14 6NN', 'BT14 6NP', 'BT14 6NQ', 'BT14 6PN', 'BT14 6PX', 'BT14 6QH', 'BT14 6QJ', 'BT14 6QP', 'BT14 6QQ', 'BT14 6QR', 'BT14 6QU', 'BT14 6QX', 'BT14 6QY', 'BT14 6QZ', 'BT14 6RB', 'BT14 6RE', 'BT14 6ST', 'BT14 7AA', 'BT14 7BW', 'BT14 7DA', 'BT14 7DY', 'BT14 7EA', 'BT14 7ED', 'BT14 7EE', 'BT14 7EJ', 'BT14 7EX', 'BT14 7FG', 'BT14 7GA', 'BT14 7GB', 'BT14 7GE', 'BT14 7GL', 'BT14 7GP', 'BT14 7HD', 'BT14 7HU', 'BT14 7HX', 'BT14 7HZ', 'BT14 7JA', 'BT14 7JB', 'BT14 7LD', 'BT14 7NA', 'BT14 7ND', 'BT14 7NT', 'BT14 7NZ', 'BT14 7PT', 'BT14 7QH', 'BT14 7QR', 'BT14 7QS', 'BT14 8AB', 'BT14 8AE', 'BT14 8AL', 'BT14 8AN', 'BT14 8AW', 'BT14 8BH', 'BT14 8BW', 'BT14 8BX', 'BT14 8DP', 'BT14 8DQ', 'BT14 8DT', 'BT14 8FG', 'BT14 8FH', 'BT14 8HD', 'BT14 8JN', 'BT14 8LT', 'BT14 8QA', 'BT14 8QU', 'BT15 1AB', 'BT15 1AL', 'BT15 1AS', 'BT15 1DY', 'BT15 1ED', 'BT15 1EQ', 'BT15 1ES', 'BT15 1EZ', 'BT15 1FT', 'BT15 1GQ', 'BT15 1HQ', 'BT15 1HR', 'BT15 1JP', 'BT15 1JQ', 'BT15 1WA', 'BT15 2AA', 'BT15 2AE', 'BT15 2AJ', 'BT15 2AN', 'BT15 2AR', 'BT15 2AY', 'BT15 2BB', 'BT15 2BE', 'BT15 2BL', 'BT15 2BN', 'BT15 2BP', 'BT15 2BW', 'BT15 2BX', 'BT15 2EL', 'BT15 2EN', 'BT15 2ET', 'BT15 2GB', 'BT15 2GJ', 'BT15 2GL', 'BT15 2GN', 'BT15 2GQ', 'BT15 2GW', 'BT15 2GY', 'BT15 2GZ', 'BT15 2HF', 'BT15 2HN', 'BT15 2HP', 'BT15 2HR', 'BT15 2PR', 'BT15 3AA', 'BT15 3AB', 'BT15 3BG', 'BT15 3BH', 'BT15 3BJ', 'BT15 3BL', 'BT15 3BP', 'BT15 3BS', 'BT15 3BU', 'BT15 3DQ', 'BT15 3DT', 'BT15 3EG', 'BT15 3GA', 'BT15 3GJ', 'BT15 3GQ', 'BT15 3HE', 'BT15 3HF', 'BT15 3JQ', 'BT15 3JW', 'BT15 3LG', 'BT15 3LH', 'BT15 3LJ', 'BT15 3NB', 'BT15 3NG', 'BT15 3PG', 'BT15 3PL', 'BT15 3PN', 'BT15 3PR', 'BT15 3PW', 'BT15 3PZ', 'BT15 3QA', 'BT15 3QG', 'BT15 3QX', 'BT15 4AE', 'BT15 4AN', 'BT15 4AP', 'BT15 4AQ', 'BT15 4AS', 'BT15 4AY', 'BT15 4BL', 'BT15 4DB', 'BT15 4DD', 'BT15 4DE', 'BT15 4DG', 'BT15 4DX', 'BT15 4DZ', 'BT15 4EF', 'BT15 4EN', 'BT15 4EP', 'BT15 4EZ', 'BT15 4FQ', 'BT15 4HD', 'BT15 4HG', 'BT15 4HL', 'BT15 4HN', 'BT15 4HS', 'BT15 4JA', 'BT15 4JU', 'BT15 4NJ', 'BT15 5AA', 'BT15 5AB', 'BT15 5AT', 'BT15 5BE', 'BT15 5BJ', 'BT15 5BP', 'BT15 5BS', 'BT15 5BU', 'BT15 5DB', 'BT15 5DW', 'BT15 5EB', 'BT15 5EP', 'BT15 5EX', 'BT15 5EY', 'BT15 5FG', 'BT15 5GA', 'BT15 5GB', 'BT15 5GE', 'BT15 5GF', 'BT15 5GP', 'BT15 5GQ', 'BT15 5GR', 'BT15 5HD', 'BT15 5JF', 'BT16 1DG', 'BT17 0AH', 'BT17 0AR', 'BT17 0AW', 'BT17 0BU', 'BT17 0DB', 'BT17 0DF', 'BT17 0DW', 'BT17 0DY', 'BT17 0FA', 'BT17 0FB', 'BT17 0GL', 'BT17 0GU', 'BT17 0GY', 'BT17 0HD', 'BT17 0HE', 'BT17 0HH', 'BT17 0HW', 'BT17 0LB', 'BT17 0LG', 'BT17 0LR', 'BT17 0LT', 'BT17 0LW', 'BT17 0NG', 'BT17 0NP', 'BT17 0PB', 'BT17 0PH', 'BT17 0PJ', 'BT17 0PL', 'BT17 0PP', 'BT17 0PQ', 'BT17 0RL', 'BT17 0RP', 'BT17 0RQ', 'BT17 0RW', 'BT17 0RX', 'BT17 0SJ', 'BT17 0TD', 'BT17 0TG', 'BT17 0TH', 'BT17 0TQ', 'BT17 0UG', 'BT17 0UN', 'BT17 0UT', 'BT17 0UW', 'BT17 0XF', 'BT17 0YU', 'BT17 9AD', 'BT17 9AE', 'BT17 9AF', 'BT17 9AN', 'BT17 9BA', 'BT17 9EH', 'BT17 9EJ', 'BT17 9EL', 'BT17 9JP', 'BT17 9JS', 'BT17 9JZ', 'BT17 9LA', 'BT17 9LB', 'BT17 9NP', 'BT17 9NS', 'BT17 9QA', 'BT17 9QH', 'BT17 9QX', 'BT17 9RR', 'BT17 9RY', 'BT17 9SB', 'BT17 ODB', 'BT17 OPB', 'BT17 ORE', 'BT17 ORL', 'BT18 9QE', 'BT18 9RR', 'BT2 7AF', 'BT2 7AP', 'BT2 7BA', 'BT2 7BB', 'BT2 7BE', 'BT2 7DB', 'BT2 7DT', 'BT2 7EJ', 'BT2 7ES', 'BT2 7ET', 'BT2 7FB', 'BT2 7FD', 'BT2 7FF', 'BT2 7GA', 'BT2 7GE', 'BT2 7GN', 'BT2 7GP', 'BT2 7GS', 'BT2 7HB', 'BT2 7HD', 'BT2 7HE', 'BT2 7HF', 'BT2 7HN', 'BT2 7HP', 'BT2 7HR', 'BT2 7JD', 'BT2 7JH', 'BT2 7JS', 'BT2 8AA', 'BT2 8AB', 'BT2 8BG', 'BT2 8BP', 'BT2 8BS', 'BT2 8ED', 'BT2 8FD', 'BT2 8FE', 'BT2 8GB', 'BT2 8GD', 'BT2 8HD', 'BT2 8HQ', 'BT2 8HS', 'BT2 8JE', 'BT2 8LA', 'BT2 8LG', 'BT2 8PB', 'BT2 8PS', 'BT27 4EW', 'BT3', 'BT3 9 JL', 'BT3 9AA', 'BT3 9AE', 'BT3 9AH', 'BT3 9AL', 'BT3 9AP', 'BT3 9AR', 'BT3 9AS', 'BT3 9BJ', 'BT3 9BP', 'BT3 9BU', 'BT3 9BW', 'BT3 9BX', 'BT3 9DH', 'BT3 9DP', 'BT3 9DT', 'BT3 9DY', 'BT3 9DZ', 'BT3 9ED', 'BT3 9EJ', 'BT3 9EP', 'BT3 9EZ', 'BT3 9HA', 'BT3 9HJ', 'BT3 9HQ', 'BT3 9HY', 'BT3 9JA', 'BT3 9JG', 'BT3 9JH', 'BT3 9JL', 'BT3 9JU', 'BT3 9LB', 'BT3 9LE', 'BT3 9LG', 'BT3 9LL', 'BT3 9LS', 'BT3 9LZ', 'BT3 9QQ', 'BT36 5DB', 'BT36 5ED', 'BT36 7DG', 'BT36 7DH', 'BT36 7DQ', 'BT36 7EN', 'BT36 7ES', 'BT36 7EU', 'BT36 7NH', 'BT36 7NU', 'BT36 7PG', 'BT36 7RW', 'BT4 1AB', 'BT4 1AD', 'BT4 1AF', 'BT4 1AG', 'BT4 1AJ', 'BT4 1AL', 'BT4 1AQ', 'BT4 1BP', 'BT4 1BT', 'BT4 1EH', 'BT4 1EN', 'BT4 1EQ', 'BT4 1EW', 'BT4 1EX', 'BT4 1FB', 'BT4 1FT', 'BT4 1HB', 'BT4 1HD', 'BT4 1HE', 'BT4 1HG', 'BT4 1HH', 'BT4 1HN', 'BT4 1JT', 'BT4 1JW', 'BT4 1JX', 'BT4 1JY', 'BT4 1NG', 'BT4 1NH', 'BT4 1NL', 'BT4 1NS', 'BT4 1NT', 'BT4 1NU', 'BT4 1NY', 'BT4 1PB', 'BT4 1PD', 'BT4 1PP', 'BT4 1PQ', 'BT4 1PU', 'BT4 1QA', 'BT4 1QQ', 'BT4 1RF', 'BT4 1RN', 'BT4 1SG', 'BT4 1SJ', 'BT4 1SU', 'BT4 2AA', 'BT4 2AB', 'BT4 2AG', 'BT4 2AH', 'BT4 2AN', 'BT4 2AS', 'BT4 2AU', 'BT4 2AW', 'BT4 2DA', 'BT4 2DT', 'BT4 2EG', 'BT4 2EX', 'BT4 2EY', 'BT4 2FE', 'BT4 2GD', 'BT4 2GP', 'BT4 2GU', 'BT4 2JP', 'BT4 2JT', 'BT4 2LR', 'BT4 2LS', 'BT4 2LY', 'BT4 2NA', 'BT4 2ND', 'BT4 2NF', 'BT4 2NL', 'BT4 2NR', 'BT4 2NW', 'BT4 2PD', 'BT4 2PW', 'BT4 2QF', 'BT4 2QQ', 'BT4 3BA', 'BT4 3BE', 'BT4 3BL', 'BT4 3BQ', 'BT4 3DA', 'BT4 3DJ', 'BT4 3DW', 'BT4 3EA', 'BT4 3EL', 'BT4 3EN', 'BT4 3EQ', 'BT4 3ET', 'BT4 3EU', 'BT4 3EX', 'BT4 3EY', 'BT4 3EZ', 'BT4 3FF', 'BT4 3FG', 'BT4 3GE', 'BT4 3HH', 'BT4 3HL', 'BT4 3HN', 'BT4 3HS', 'BT4 3HT', 'BT4 3JB', 'BT4 3JD', 'BT4 3JF', 'BT4 3JH', 'BT4 3JJ', 'BT4 3JU', 'BT4 3LD', 'BT4 3LH', 'BT4 3LJ', 'BT4 3LL', 'BT4 3LP', 'BT4 3LS', 'BT4 3NL', 'BT4 3NU', 'BT4 3SR', 'BT4 3SS', 'BT4 3ST', 'BT4 3SX', 'BT4 3SY', 'BT4 3TA', 'BT4 3TT', 'BT5', 'BT5 4AE', 'BT5 4AF', 'BT5 4AS', 'BT5 4EQ', 'BT5 4EW', 'BT5 4FE', 'BT5 4FG', 'BT5 4FT', 'BT5 4GJ', 'BT5 4GS', 'BT5 4GU', 'BT5 4GW', 'BT5 4GX', 'BT5 4HY', 'BT5 4JE', 'BT5 4LA', 'BT5 4LP', 'BT5 4NA', 'BT5 4ND', 'BT5 4NE', 'BT5 4NF', 'BT5 4NJ', 'BT5 4NL', 'BT5 4NS', 'BT5 4PS', 'BT5 4PY', 'BT5 4QA', 'BT5 4QG', 'BT5 4RR', 'BT5 4RS', 'BT5 4RZ', 'BT5 4SF', 'BT5 4SJ', 'BT5 5AA', 'BT5 5AB', 'BT5 5AD', 'BT5 5AW', 'BT5 5BA', 'BT5 5DL', 'BT5 5DS', 'BT5 5DT', 'BT5 5DW', 'BT5 5DX', 'BT5 5DY', 'BT5 5EG', 'BT5 5FB', 'BT5 5FE', 'BT5 5FH', 'BT5 5FL', 'BT5 5FP', 'BT5 5FR', 'BT5 5FS', 'BT5 5FT', 'BT5 5GJ', 'BT5 5GT', 'BT5 5HH', 'BT5 5HW', 'BT5 5JB', 'BT5 5JH', 'BT5 5JQ', 'BT5 5LP', 'BT5 5LS', 'BT5 5LT', 'BT5 5NF', 'BT5 5NG', 'BT5 5NH', 'BT5 5NX', 'BT5 5PB', 'BT5 5PE', 'BT5 6AB', 'BT5 6BB', 'BT5 6BH', 'BT5 6BW', 'BT5 6DA', 'BT5 6DF', 'BT5 6DS', 'BT5 6EB', 'BT5 6ED', 'BT5 6EH', 'BT5 6FR', 'BT5 6FY', 'BT5 6GA', 'BT5 6GR', 'BT5 6HJ', 'BT5 6HW', 'BT5 6JF', 'BT5 6JH', 'BT5 6JJ', 'BT5 6LA', 'BT5 6NF', 'BT5 6NU', 'BT5 6NY', 'BT5 6PL', 'BT5 6QD', 'BT5 6QE', 'BT5 6QP', 'BT5 6QR', 'BT5 6SL', 'BT5 6SR', 'BT5 7AH', 'BT5 7BS', 'BT5 7BX', 'BT5 7DG', 'BT5 7DL', 'BT5 7EA', 'BT5 7EH', 'BT5 7EJ', 'BT5 7EL', 'BT5 7EP', 'BT5 7FE', 'BT5 7FF', 'BT5 7GE', 'BT5 7GF', 'BT5 7GU', 'BT5 7GY', 'BT5 7HD', 'BT5 7JH', 'BT5 7JU', 'BT5 7JX', 'BT5 7LA', 'BT5 7LH', 'BT5 7LL', 'BT5 7LT', 'BT5 7LY', 'BT5 7NU', 'BT5 7PT', 'BT5 7PX', 'BT5 7QL', 'BT5 7QQ', 'BT5 7QZ', 'BT6 0AG', 'BT6 0BU', 'BT6 0BW', 'BT6 0BY', 'BT6 0BZ', 'BT6 0DE', 'BT6 0DG', 'BT6 0DL', 'BT6 0DN', 'BT6 0DT', 'BT6 0EX', 'BT6 0FL', 'BT6 0FR', 'BT6 0FS', 'BT6 0GB', 'BT6 0HB', 'BT6 0JA', 'BT6 0JB', 'BT6 0JJ', 'BT6 0JN', 'BT6 0JS', 'BT6 0LB', 'BT6 0LR', 'BT6 0LT', 'BT6 0LX', 'BT6 8AB', 'BT6 8AW', 'BT6 8BG', 'BT6 8DD', 'BT6 8DP', 'BT6 8DQ', 'BT6 8DR', 'BT6 8EE', 'BT6 8FB', 'BT6 8FE', 'BT6 8GH', 'BT6 8GJ', 'BT6 8GL', 'BT6 8HN', 'BT6 8HR', 'BT6 8JG', 'BT6 8LF', 'BT6 8ND', 'BT6 8PQ', 'BT6 8PR', 'BT6 8PT', 'BT6 8PU', 'BT6 8PW', 'BT6 8PX', 'BT6 8PY', 'BT6 8PZ', 'BT6 8RA', 'BT6 9AG', 'BT6 9DD', 'BT6 9DL', 'BT6 9DP', 'BT6 9DQ', 'BT6 9DR', 'BT6 9EP', 'BT6 9EQ', 'BT6 9ER', 'BT6 9ES', 'BT6 9ET', 'BT6 9EY', 'BT6 9FB', 'BT6 9FH', 'BT6 9GB', 'BT6 9GL', 'BT6 9GR', 'BT6 9HB', 'BT6 9HG', 'BT6 9HL', 'BT6 9HQ', 'BT6 9JA', 'BT6 9JD', 'BT6 9JY', 'BT6 9LS', 'BT6 9NS', 'BT6 9NT', 'BT6 9NX', 'BT6 9PR', 'BT6 9QB', 'BT6 9QL', 'BT6 9RA', 'BT6 9RB', 'BT6 9RZ', 'BT6 9SA', 'BT6 OFL', 'BT6 OLR', 'BT6 OLT', 'BT7 1AB', 'BT7 1AQ', 'BT7 1BS', 'BT7 1BU', 'BT7 1BX', 'BT7 1DQ', 'BT7 1DR', 'BT7 1DS', 'BT7 1DT', 'BT7 1EB', 'BT7 1FY', 'BT7 1GH', 'BT7 1GQ', 'BT7 1GX', 'BT7 1GY', 'BT7 1HL', 'BT7 1HP', 'BT7 1HU', 'BT7 1JG', 'BT7 1JJ', 'BT7 1JL', 'BT7 1JN', 'BT7 1JQ', 'BT7 1JR', 'BT7 1JT', 'BT7 1JW', 'BT7 1LP', 'BT7 1LW', 'BT7 1NA', 'BT7 1ND', 'BT7 1NF', 'BT7 1NG', 'BT7 1NH', 'BT7 1NJ', 'BT7 1NN', 'BT7 1NR', 'BT7 1PS', 'BT7 1QA', 'BT7 1QB', 'BT7 1QY', 'BT7 1RQ', 'BT7 1RR', 'BT7 1RS', 'BT7 1RT', 'BT7 1RU', 'BT7 1SH', 'BT7 1SL', 'BT7 1SQ', 'BT7 2AA', 'BT7 2AN', 'BT7 2BJ', 'BT7 2EB', 'BT7 2ED', 'BT7 2EP', 'BT7 2FW', 'BT7 2FX', 'BT7 2FZ', 'BT7 2GB', 'BT7 2GD', 'BT7 2GE', 'BT7 2GF', 'BT7 2GN', 'BT7 2GY', 'BT7 2HP', 'BT7 2JA', 'BT7 2JB', 'BT7 2JD', 'BT7 3AE', 'BT7 3BS', 'BT7 3DB', 'BT7 3ED', 'BT7 3EG', 'BT7 3EN', 'BT7 3ES', 'BT7 3FF', 'BT7 3FP', 'BT7 3GG', 'BT7 3GL', 'BT7 3GP', 'BT7 3GQ', 'BT7 3GR', 'BT7 3GX', 'BT7 3HB', 'BT7 3HE', 'BT7 3HG', 'BT7 3HL', 'BT7 3HX', 'BT7 3HY', 'BT7 3JB', 'BT7 3JD', 'BT7 3JH', 'BT7 3JJ', 'BT7 3LA', 'BT7 3LW', 'BT8 4DT', 'BT8 4SW', 'BT8 7AN', 'BT8 7DL', 'BT8 7EG', 'BT8 7EY', 'BT8 7PX', 'BT8 7QE', 'BT8 7SP', 'BT8 7SW', 'BT8 7XP', 'BT8 7XT', 'BT9 5AA', 'BT9 5AB', 'BT9 5AD', 'BT9 5AE', 'BT9 5AF', 'BT9 5AG', 'BT9 5AH', 'BT9 5AJ', 'BT9 5BJ', 'BT9 5BN', 'BT9 5BQ', 'BT9 5BU', 'BT9 5BW', 'BT9 5BY', 'BT9 5DY', 'BT9 5EA', 'BT9 5EH', 'BT9 5EL', 'BT9 5EX', 'BT9 5FB', 'BT9 5FH', 'BT9 5FJ', 'BT9 5FL', 'BT9 5JH', 'BT9 5JQ', 'BT9 5JX', 'BT9 5JY', 'BT9 5LH', 'BT9 5NA', 'BT9 5NW', 'BT9 5PB', 'BT9 5PH', 'BT9 5PX', 'BT9 5UB', 'BT9 6AA', 'BT9 6AD', 'BT9 6AF', 'BT9 6AG', 'BT9 6AH', 'BT9 6AJ', 'BT9 6AL', 'BT9 6AX', 'BT9 6AY', 'BT9 6BQ', 'BT9 6BY', 'BT9 6DP', 'BT9 6DW', 'BT9 6DX', 'BT9 6DY', 'BT9 6EE', 'BT9 6EJ', 'BT9 6EL', 'BT9 6EU', 'BT9 6EW', 'BT9 6FL', 'BT9 6FP', 'BT9 6FR', 'BT9 6FX', 'BT9 6GD', 'BT9 6GH', 'BT9 6GJ', 'BT9 6GL', 'BT9 6GN', 'BT9 6GU', 'BT9 6GX', 'BT9 6HG', 'BT9 6HL', 'BT9 6HT', 'BT9 6HW', 'BT9 6JP', 'BT9 6JR', 'BT9 6LD', 'BT9 6LN', 'BT9 6LY', 'BT9 6NH', 'BT9 6QR', 'BT9 6RT', 'BT9 6RU', 'BT9 6RW', 'BT9 6SB', 'BT9 6SJ', 'BT9 6TQ', 'BT9 6TT', 'BT9 6TX', 'BT9 6TY', 'BT9 7AB', 'BT9 7AE', 'BT9 7AG', 'BT9 7AJ', 'BT9 7AQ', 'BT9 7AT', 'BT9 7BJ', 'BT9 7BL', 'BT9 7BW', 'BT9 7DS', 'BT9 7DW', 'BT9 7EJ', 'BT9 7EN', 'BT9 7EP', 'BT9 7ET', 'BT9 7EW', 'BT9 7EY', 'BT9 7EZ', 'BT9 7FR', 'BT9 7GQ', 'BT9 7GS', 'BT9 7GT', 'BT9 7GU', 'BT9 7GX', 'BT9 7GY', 'BT9 7HN', 'BT9 7JA', 'BT9 7JB', 'BT9 7JE', 'BT9 7JG']\n" ] } ], "source": [ "postcodes = sorted(df['postcode'].unique())\n", "print(postcodes)" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2017-10-23T12:01:05.394032Z", "start_time": "2017-10-23T12:01:05.362730Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "***Bonus Round***, top postcodes, alphabetically" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:37.963118Z", "start_time": "2018-06-07T12:08:37.952982Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/plain": [ "postcode\n", "BT1 3NQ 86\n", " 33\n", "BT1 4QG 23\n", "BT15 1WA 19\n", "BT1 1HL 18\n", "BT1 1DD 18\n", "dtype: int64" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.groupby('postcode').size().sort_values(ascending=False).head(6)" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2017-10-23T12:01:05.419759Z", "start_time": "2017-10-23T12:01:05.396048Z" }, "slideshow": { "slide_type": "fragment" } }, "source": [ "**Bonus Bonus Round**, there are many ways to do *similar* things\n", "Top postcodes, by order of 1st appearance in dataset" ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:37.974205Z", "start_time": "2018-06-07T12:08:37.965648Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "text/plain": [ "BT1 3NQ 86\n", " 33\n", "BT1 4QG 23\n", "BT15 1WA 19\n", "BT12 6HU 18\n", "BT3 9JL 18\n", "Name: postcode, dtype: int64" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['postcode'].value_counts(ascending=False)[:6]" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2017-10-23T12:01:05.444927Z", "start_time": "2017-10-23T12:01:05.422029Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "### Print a list of all establishment names that do not have a recorded postcode." ] }, { "cell_type": "code", "execution_count": 35, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:37.984932Z", "start_time": "2018-06-07T12:08:37.976560Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/plain": [ "101 El Divino\n", "294 Gibsons Butchers\n", "533 Van Shop\n", "540 St Galls Coffee Shop\n", "607 Glenbrook Surestart\n", "672 Glenbrook Surestart\n", "767 Costa Coffee\n", "774 Holohans\n", "776 Cafe Krem Students Union\n", "972 Royal Day Care\n", "1025 Glenbrook Surestart\n", "1030 Malone Kindergarden - Simply Me\n", "1500 Top Centra\n", "1531 Russell's\n", "1763 The Dock Cafe\n", "2154 Select Catering\n", "2158 The Bus Stop Cafe\n", "2161 Firths Traditional Fish & Chips\n", "2162 Attridge & Cole\n", "2165 Bernies Burgers\n", "2170 Top Scoff\n", "2263 Campbell McCleave Ltd\n", "2290 First Presbyterian Church\n", "2540 Pizza Hut (Victoria Square)\n", "2541 TGI Fridays (Victoria Square)\n", "2651 Pizza Express\n", "2699 GIBONEY HOUSE (CLANMIL HOUSING)\n", "2815 Select Sandwiches\n", "2928 Grosvenor Grammar School\n", "2943 St John Paul II\n", "2961 Taughmonagh Nursery School\n", "3045 Malton Fold\n", "3103 The Candy Man UK\n", "Name: establishmentname, dtype: object" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[df['postcode'] == '']['establishmentname']" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2017-10-23T12:01:05.475775Z", "start_time": "2017-10-23T12:01:05.447010Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "### Print a list of all establishment names that are missing any item of information\n", "\n", "Assumptions:\n", "* \"Any\" information includes optional address fields" ] }, { "cell_type": "code", "execution_count": 36, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:38.002699Z", "start_time": "2018-06-07T12:08:37.988049Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "text/plain": [ "0 Heyn Group\n", "1 Rosemary Lunch Club\n", "2 John Ross & Co Auctioneers\n", "3 The Maverick/Boom Box\n", "4 Maverick\n", "5 Windsor Recreation & Social Cl\n", "6 The Chester Inn\n", "7 The Sportsman\n", "8 City Hibernians Club\n", "9 Forthriver Bowling & Tennis Club\n", "10 Shawsbridge Sports Association\n", "11 Muriels Cafe Bar\n", "12 MCGLONES\n", "13 The Corner House\n", "14 Ewarts Bowling Club\n", "15 Ligoniel Working Mens Club\n", "16 DUNMURRY INN\n", "17 McEnaney's\n", "18 LAUREL GLEN\n", "19 Linfield Football Club - Temporary Clubhouse\n", "20 DUNMURRY RECREATION & FOOTBALL CLUB\n", "21 McKennas\n", "22 Ardoyne Working Mens Club\n", "23 The Stadium Bar\n", "24 Ollies\n", "25 The Harp Bar\n", "26 Shorts Sports & Recreation Club\n", "27 The Spaniard\n", "28 The Bar with No Name\n", "29 Cliftonville Golf Club Catering\n", " ... \n", "3138 Lyric Theatre\n", "3139 Strand Arts Centre\n", "3140 Cregagh Video\n", "3141 China Cash and Carry\n", "3142 Camseng International Foods Ltd\n", "3143 Shah Jalal\n", "3144 SANGERS (NI) LIMITED\n", "3145 Makro Self Service Wholesalers Ltd\n", "3146 AAH PHARMACEUTICALS LIMITED (VESTRIC)\n", "3147 Sweet Sales\n", "3148 North Down Group\n", "3149 Air Products PLC\n", "3150 Courtney & Nelson Ltd\n", "3151 Spicers Ltd\n", "3152 Topmark Food Cash and Carry\n", "3153 Musgrave Market Place\n", "3154 Asia Supermarket\n", "3155 Lee Foods\n", "3156 Asia Supermarket\n", "3157 Blacks Catering Supplies\n", "3158 Punjana Ltd\n", "3159 Botl Wine & Spirit Merchants Ltd\n", "3160 Cargo Forwarding Ltd\n", "3161 Selecta\n", "3162 Business Services Organisation - Procurement +...\n", "3163 Beck and Scott Services Ltd\n", "3164 Samskip\n", "3165 Irish Feeds\n", "3166 NATURAL HEALTH PRODUCTS\n", "3167 STOREHOUSE\n", "Name: establishmentname, Length: 3168, dtype: object" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[df.isin((None,'')).any(axis=1)]['establishmentname']" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2017-10-23T12:40:37.239046Z", "start_time": "2017-10-23T12:40:37.173922Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "Well that was a bit pointless; everything is missing something! Our assumption was wrong\n", "\n", "New Assumption:\n", "* All entries should have a rating, an addressline3 and a postcode" ] }, { "cell_type": "code", "execution_count": 37, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:38.016508Z", "start_time": "2018-06-07T12:08:38.005101Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "text/plain": [ "10 Shawsbridge Sports Association\n", "26 Shorts Sports & Recreation Club\n", "35 The Farmers\n", "101 El Divino\n", "186 Berlin\n", "280 Butchers Mini Market\n", "294 Gibsons Butchers\n", "454 Junes\n", "533 Van Shop\n", "540 St Galls Coffee Shop\n", "547 Canteen Kitchen Cafe\n", "553 Mornington Community Project\n", "572 White Field Coffee\n", "587 Franklin & James Expresso Bar\n", "590 Loft\n", "596 Boyles at the Linenhall Library\n", "600 Boojum\n", "607 Glenbrook Surestart\n", "616 INTO Queen's University Belfast\n", "640 Cafe Meluzyna\n", "643 Cuban Sandwich Factory\n", "645 Polita Cafe Bistro\n", "672 Glenbrook Surestart\n", "674 Flamenco Patisserie\n", "678 California Coffee\n", "699 Rcity Youth CIC\n", "748 Cafe Royale\n", "767 Costa Coffee\n", "774 Holohans\n", "776 Cafe Krem Students Union\n", " ... \n", "2446 Wilgar Drop In Centre\n", "2461 Jasmine\n", "2462 Hotplate Noshery\n", "2465 Bulletproof Burgers\n", "2471 Harry Halls Bistro\n", "2485 General Merchants\n", "2512 Boojum\n", "2519 India Gate\n", "2533 All Seasons\n", "2537 The Belfast Baking Company Limited\n", "2540 Pizza Hut (Victoria Square)\n", "2541 TGI Fridays (Victoria Square)\n", "2542 Five Guys\n", "2651 Pizza Express\n", "2699 GIBONEY HOUSE (CLANMIL HOUSING)\n", "2749 Polita\n", "2815 Select Sandwiches\n", "2817 Clements ( Manufacturer )\n", "2928 Grosvenor Grammar School\n", "2943 St John Paul II\n", "2961 Taughmonagh Nursery School\n", "2970 St Marys PS Barrack Street.Divis\n", "3045 Malton Fold\n", "3080 Elles Belles\n", "3083 The Coffee Hut\n", "3095 Amberline (Stall at Folktown Market)\n", "3097 Street Dogs (Stall at Folktown Market)\n", "3103 The Candy Man UK\n", "3104 Do me a flavour\n", "3159 Botl Wine & Spirit Merchants Ltd\n", "Name: establishmentname, Length: 118, dtype: object" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[df[['postcode','rating','establishmentaddressline3']].isin((None,'')).any(axis=1)]['establishmentname']" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Tasks Continued\n", "That's all very well and good, but for some of the later challenges, we need to fiddle with things\n", "\n", "Data Science is all about tidying stuff up." ] }, { "cell_type": "code", "execution_count": 38, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:38.035081Z", "start_time": "2018-06-07T12:08:38.019105Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "text/html": [ "
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_idbuildingidestablishmentaddressline1establishmentaddressline2establishmentaddressline3establishmentaddressline4establishmentnameinspectiondatelatitudelongitudepostcoderating
011850034951 Corry PlaceBelfastHeyn Group2012-08-23T00:00:00375525334581BT3 9AH5
12185746347Rosemary Presbyterian Church26-36 North Circular RoadBelfastRosemary Lunch Club2014-10-21T00:00:00378213332938BT15 5HD5
2318500180737 Montgomery StreetBelfastJohn Ross & Co Auctioneers2015-03-19T00:00:00373992334055BT1 4NX4
34185000821108 Donegall StreetBelfastThe Maverick/Boom Box2014-11-03T00:00:00374852333733BT1 2GX5
451871297051 Union StreetMaverick2014-02-13T00:00:00378435281262BT1 2JF4
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" ], "text/plain": [ " _id buildingid establishmentaddressline1 establishmentaddressline2 \\\n", "0 1 185003495 \n", "1 2 185746347 Rosemary Presbyterian Church \n", "2 3 185001807 \n", "3 4 185000821 \n", "4 5 187129705 \n", "\n", " establishmentaddressline3 establishmentaddressline4 \\\n", "0 1 Corry Place Belfast \n", "1 26-36 North Circular Road Belfast \n", "2 37 Montgomery Street Belfast \n", "3 108 Donegall Street Belfast \n", "4 1 Union Street \n", "\n", " establishmentname inspectiondate latitude longitude \\\n", "0 Heyn Group 2012-08-23T00:00:00 375525 334581 \n", "1 Rosemary Lunch Club 2014-10-21T00:00:00 378213 332938 \n", "2 John Ross & Co Auctioneers 2015-03-19T00:00:00 373992 334055 \n", "3 The Maverick/Boom Box 2014-11-03T00:00:00 374852 333733 \n", "4 Maverick 2014-02-13T00:00:00 378435 281262 \n", "\n", " postcode rating \n", "0 BT3 9AH 5 \n", "1 BT15 5HD 5 \n", "2 BT1 4NX 4 \n", "3 BT1 2GX 5 \n", "4 BT1 2JF 4 " ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head()" ] }, { "cell_type": "code", "execution_count": 39, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:38.056053Z", "start_time": "2018-06-07T12:08:38.037508Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "text/html": [ "
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buildingidestablishmentaddressline1establishmentaddressline2establishmentaddressline3establishmentaddressline4establishmentnameinspectiondatelatitudelongitudepostcoderating
01850034951 Corry PlaceBelfastHeyn Group2012-08-23T00:00:00375525334581BT3 9AH5
1185746347Rosemary Presbyterian Church26-36 North Circular RoadBelfastRosemary Lunch Club2014-10-21T00:00:00378213332938BT15 5HD5
218500180737 Montgomery StreetBelfastJohn Ross & Co Auctioneers2015-03-19T00:00:00373992334055BT1 4NX4
3185000821108 Donegall StreetBelfastThe Maverick/Boom Box2014-11-03T00:00:00374852333733BT1 2GX5
41871297051 Union StreetMaverick2014-02-13T00:00:00378435281262BT1 2JF4
\n", "
" ], "text/plain": [ " buildingid establishmentaddressline1 establishmentaddressline2 \\\n", "0 185003495 \n", "1 185746347 Rosemary Presbyterian Church \n", "2 185001807 \n", "3 185000821 \n", "4 187129705 \n", "\n", " establishmentaddressline3 establishmentaddressline4 \\\n", "0 1 Corry Place Belfast \n", "1 26-36 North Circular Road Belfast \n", "2 37 Montgomery Street Belfast \n", "3 108 Donegall Street Belfast \n", "4 1 Union Street \n", "\n", " establishmentname inspectiondate latitude longitude \\\n", "0 Heyn Group 2012-08-23T00:00:00 375525 334581 \n", "1 Rosemary Lunch Club 2014-10-21T00:00:00 378213 332938 \n", "2 John Ross & Co Auctioneers 2015-03-19T00:00:00 373992 334055 \n", "3 The Maverick/Boom Box 2014-11-03T00:00:00 374852 333733 \n", "4 Maverick 2014-02-13T00:00:00 378435 281262 \n", "\n", " postcode rating \n", "0 BT3 9AH 5 \n", "1 BT15 5HD 5 \n", "2 BT1 4NX 4 \n", "3 BT1 2GX 5 \n", "4 BT1 2JF 4 " ] }, "execution_count": 39, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Looking Good but that _id is a bit pointless\n", "df = df.drop('_id', axis=1)\n", "df.head()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## Do some actual analysis\n", "That's more like it\n", "\n", "Start with the average rating" ] }, { "cell_type": "code", "execution_count": 40, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:38.064413Z", "start_time": "2018-06-07T12:08:38.058514Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "That didn't work must be str, not int\n" ] } ], "source": [ "try:\n", " df['rating'].mean()\n", "except TypeError as e:\n", " print(\"That didn't work\", e)" ] }, { "cell_type": "code", "execution_count": 41, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:38.073076Z", "start_time": "2018-06-07T12:08:38.066839Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "text/plain": [ "buildingid object\n", "establishmentaddressline1 object\n", "establishmentaddressline2 object\n", "establishmentaddressline3 object\n", "establishmentaddressline4 object\n", "establishmentname object\n", "inspectiondate object\n", "latitude object\n", "longitude object\n", "postcode object\n", "rating object\n", "dtype: object" ] }, "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# DANGER WILL ROBINSON\n", "df.dtypes" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### So what seems to be the trouble here?" ] }, { "cell_type": "code", "execution_count": 42, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:38.081194Z", "start_time": "2018-06-07T12:08:38.075974Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/plain": [ "array(['5', '4', None, '2', '3', '1'], dtype=object)" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['rating'].unique()" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2017-10-23T08:21:10.925667Z", "start_time": "2017-10-23T08:21:10.884889Z" }, "slideshow": { "slide_type": "fragment" } }, "source": [ "There are A LOT of un-rated premises...\n", "So we shouldn't just throw them away." ] }, { "cell_type": "code", "execution_count": 43, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:38.090015Z", "start_time": "2018-06-07T12:08:38.083568Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/plain": [ "902" ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[df['rating'].isnull()].size" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Cast as float, Nones become Nan\n", "(None is the absence of a value, Nan is \"Not a Number\")\n", "If you really care, look up category theory\n", "But I don't, so let's jog on." ] }, { "cell_type": "code", "execution_count": 44, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:38.102021Z", "start_time": "2018-06-07T12:08:38.092475Z" } }, "outputs": [ { "data": { "text/plain": [ "array([ 5., 4., nan, 2., 3., 1.])" ] }, "execution_count": 44, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['rating'] = df['rating'].astype(float)\n", "df['rating'].unique()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "Now, what's the average rating?" ] }, { "cell_type": "code", "execution_count": 45, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:38.109813Z", "start_time": "2018-06-07T12:08:38.104721Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/plain": [ "4.385288399222294" ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['rating'].mean()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "This [by default](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.mean.html) throws away `nan` values, because performing maths on 'nothing' leads to infinities, which is **A Bad Thing™**" ] }, { "cell_type": "code", "execution_count": 46, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:38.117621Z", "start_time": "2018-06-07T12:08:38.112216Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/plain": [ "nan" ] }, "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['rating'].mean(skipna=False)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### So what's the distribution of ratings?\n", "Who knows about Histograms?" ] }, { "cell_type": "code", "execution_count": 47, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:38.277410Z", "start_time": "2018-06-07T12:08:38.120227Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 47, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "f,ax = plt.subplots()\n", "df['rating'].plot.hist(ax=ax)" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2017-10-23T08:37:50.417475Z", "start_time": "2017-10-23T08:37:50.366823Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "### Getting the `size` of each rating group:" ] }, { "cell_type": "code", "execution_count": 48, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:38.288740Z", "start_time": "2018-06-07T12:08:38.280116Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/plain": [ "rating\n", "1.0 28\n", "2.0 61\n", "3.0 391\n", "4.0 820\n", "5.0 1786\n", "dtype: int64" ] }, "execution_count": 48, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.groupby('rating').size()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Having your Pie and eating it" ] }, { "cell_type": "code", "execution_count": 49, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:38.383850Z", "start_time": "2018-06-07T12:08:38.291880Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 49, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "f,ax = plt.subplots()\n", "df.groupby('rating').size().plot.pie(ax=ax, label='Ratings')" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Data Cleaning\n", "\n", "* What's necessary and what's not? \n", "* What's broken/wrong?" ] }, { "cell_type": "code", "execution_count": 50, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:38.401986Z", "start_time": "2018-06-07T12:08:38.386750Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/html": [ "
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buildingidestablishmentaddressline1establishmentaddressline2establishmentaddressline3establishmentaddressline4establishmentnameinspectiondatelatitudelongitudepostcoderating
01850034951 Corry PlaceBelfastHeyn Group2012-08-23T00:00:00375525334581BT3 9AH5.0
1185746347Rosemary Presbyterian Church26-36 North Circular RoadBelfastRosemary Lunch Club2014-10-21T00:00:00378213332938BT15 5HD5.0
218500180737 Montgomery StreetBelfastJohn Ross & Co Auctioneers2015-03-19T00:00:00373992334055BT1 4NX4.0
3185000821108 Donegall StreetBelfastThe Maverick/Boom Box2014-11-03T00:00:00374852333733BT1 2GX5.0
41871297051 Union StreetMaverick2014-02-13T00:00:00378435281262BT1 2JF4.0
\n", "
" ], "text/plain": [ " buildingid establishmentaddressline1 establishmentaddressline2 \\\n", "0 185003495 \n", "1 185746347 Rosemary Presbyterian Church \n", "2 185001807 \n", "3 185000821 \n", "4 187129705 \n", "\n", " establishmentaddressline3 establishmentaddressline4 \\\n", "0 1 Corry Place Belfast \n", "1 26-36 North Circular Road Belfast \n", "2 37 Montgomery Street Belfast \n", "3 108 Donegall Street Belfast \n", "4 1 Union Street \n", "\n", " establishmentname inspectiondate latitude longitude \\\n", "0 Heyn Group 2012-08-23T00:00:00 375525 334581 \n", "1 Rosemary Lunch Club 2014-10-21T00:00:00 378213 332938 \n", "2 John Ross & Co Auctioneers 2015-03-19T00:00:00 373992 334055 \n", "3 The Maverick/Boom Box 2014-11-03T00:00:00 374852 333733 \n", "4 Maverick 2014-02-13T00:00:00 378435 281262 \n", "\n", " postcode rating \n", "0 BT3 9AH 5.0 \n", "1 BT15 5HD 5.0 \n", "2 BT1 4NX 4.0 \n", "3 BT1 2GX 5.0 \n", "4 BT1 2JF 4.0 " ] }, "execution_count": 50, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head()" ] }, { "cell_type": "code", "execution_count": 51, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:38.408387Z", "start_time": "2018-06-07T12:08:38.403947Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "# BORING\n", "df.drop('buildingid', axis=1, inplace=True)" ] }, { "cell_type": "code", "execution_count": 52, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:38.414772Z", "start_time": "2018-06-07T12:08:38.410699Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "establishmentaddressline1 addressline1\n", "establishmentaddressline2 addressline2\n", "establishmentaddressline3 addressline3\n", "establishmentaddressline4 addressline4\n", "establishmentname name\n", "inspectiondate inspectiondate\n", "latitude latitude\n", "longitude longitude\n", "postcode postcode\n", "rating rating\n" ] } ], "source": [ "# REDUNDANT\n", "for c in df.keys():\n", " print(c, c.replace('establishment',''))" ] }, { "cell_type": "code", "execution_count": 53, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:38.421827Z", "start_time": "2018-06-07T12:08:38.416733Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "{'establishmentaddressline1': 'addressline1',\n", " 'establishmentaddressline2': 'addressline2',\n", " 'establishmentaddressline3': 'addressline3',\n", " 'establishmentaddressline4': 'addressline4',\n", " 'establishmentname': 'name',\n", " 'inspectiondate': 'inspectiondate',\n", " 'latitude': 'latitude',\n", " 'longitude': 'longitude',\n", " 'postcode': 'postcode',\n", " 'rating': 'rating'}" ] }, "execution_count": 53, "metadata": {}, "output_type": "execute_result" } ], "source": [ "replacements = {c: c.replace('establishment','') for c in df.keys()}\n", "replacements" ] }, { "cell_type": "code", "execution_count": 54, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:38.443471Z", "start_time": "2018-06-07T12:08:38.423938Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "
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addressline1addressline2addressline3addressline4nameinspectiondatelatitudelongitudepostcoderating
01 Corry PlaceBelfastHeyn Group2012-08-23T00:00:00375525334581BT3 9AH5.0
1Rosemary Presbyterian Church26-36 North Circular RoadBelfastRosemary Lunch Club2014-10-21T00:00:00378213332938BT15 5HD5.0
237 Montgomery StreetBelfastJohn Ross & Co Auctioneers2015-03-19T00:00:00373992334055BT1 4NX4.0
3108 Donegall StreetBelfastThe Maverick/Boom Box2014-11-03T00:00:00374852333733BT1 2GX5.0
41 Union StreetMaverick2014-02-13T00:00:00378435281262BT1 2JF4.0
\n", "
" ], "text/plain": [ " addressline1 addressline2 addressline3 \\\n", "0 1 Corry Place \n", "1 Rosemary Presbyterian Church 26-36 North Circular Road \n", "2 37 Montgomery Street \n", "3 108 Donegall Street \n", "4 1 Union Street \n", "\n", " addressline4 name inspectiondate latitude \\\n", "0 Belfast Heyn Group 2012-08-23T00:00:00 375525 \n", "1 Belfast Rosemary Lunch Club 2014-10-21T00:00:00 378213 \n", "2 Belfast John Ross & Co Auctioneers 2015-03-19T00:00:00 373992 \n", "3 Belfast The Maverick/Boom Box 2014-11-03T00:00:00 374852 \n", "4 Maverick 2014-02-13T00:00:00 378435 \n", "\n", " longitude postcode rating \n", "0 334581 BT3 9AH 5.0 \n", "1 332938 BT15 5HD 5.0 \n", "2 334055 BT1 4NX 4.0 \n", "3 333733 BT1 2GX 5.0 \n", "4 281262 BT1 2JF 4.0 " ] }, "execution_count": 54, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.rename(columns=replacements, inplace=True)\n", "df.head()" ] }, { "cell_type": "code", "execution_count": 55, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:38.450983Z", "start_time": "2018-06-07T12:08:38.445421Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "addressline1 object\n", "addressline2 object\n", "addressline3 object\n", "addressline4 object\n", "name object\n", "inspectiondate object\n", "latitude object\n", "longitude object\n", "postcode object\n", "rating float64\n", "dtype: object" ] }, "execution_count": 55, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Something doesn't look right...\n", "df.dtypes" ] }, { "cell_type": "code", "execution_count": 56, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:38.470186Z", "start_time": "2018-06-07T12:08:38.453083Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "text/html": [ "
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addressline1addressline2addressline3addressline4nameinspectiondatelatitudelongitudepostcoderating
01 Corry PlaceBelfastHeyn Group2012-08-23375525334581BT3 9AH5.0
1Rosemary Presbyterian Church26-36 North Circular RoadBelfastRosemary Lunch Club2014-10-21378213332938BT15 5HD5.0
237 Montgomery StreetBelfastJohn Ross & Co Auctioneers2015-03-19373992334055BT1 4NX4.0
3108 Donegall StreetBelfastThe Maverick/Boom Box2014-11-03374852333733BT1 2GX5.0
41 Union StreetMaverick2014-02-13378435281262BT1 2JF4.0
\n", "
" ], "text/plain": [ " addressline1 addressline2 addressline3 \\\n", "0 1 Corry Place \n", "1 Rosemary Presbyterian Church 26-36 North Circular Road \n", "2 37 Montgomery Street \n", "3 108 Donegall Street \n", "4 1 Union Street \n", "\n", " addressline4 name inspectiondate latitude longitude \\\n", "0 Belfast Heyn Group 2012-08-23 375525 334581 \n", "1 Belfast Rosemary Lunch Club 2014-10-21 378213 332938 \n", "2 Belfast John Ross & Co Auctioneers 2015-03-19 373992 334055 \n", "3 Belfast The Maverick/Boom Box 2014-11-03 374852 333733 \n", "4 Maverick 2014-02-13 378435 281262 \n", "\n", " postcode rating \n", "0 BT3 9AH 5.0 \n", "1 BT15 5HD 5.0 \n", "2 BT1 4NX 4.0 \n", "3 BT1 2GX 5.0 \n", "4 BT1 2JF 4.0 " ] }, "execution_count": 56, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['inspectiondate'] = pd.to_datetime(df['inspectiondate'])\n", "df.head()" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2017-10-23T12:18:31.684045Z", "start_time": "2017-10-23T12:18:31.645638Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "### Calculate days since last inspection" ] }, { "cell_type": "code", "execution_count": 57, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:38.542708Z", "start_time": "2018-06-07T12:08:38.472264Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/html": [ "
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nameinspectiondatedayssinceinspection
0Heyn Group2012-08-232114 days
1Rosemary Lunch Club2014-10-211325 days
2John Ross & Co Auctioneers2015-03-191176 days
3The Maverick/Boom Box2014-11-031312 days
4Maverick2014-02-131575 days
\n", "
" ], "text/plain": [ " name inspectiondate dayssinceinspection\n", "0 Heyn Group 2012-08-23 2114 days\n", "1 Rosemary Lunch Club 2014-10-21 1325 days\n", "2 John Ross & Co Auctioneers 2015-03-19 1176 days\n", "3 The Maverick/Boom Box 2014-11-03 1312 days\n", "4 Maverick 2014-02-13 1575 days" ] }, "execution_count": 57, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['dayssinceinspection']=pd.to_datetime('now').date()- df['inspectiondate']\n", "df[['name','inspectiondate','dayssinceinspection']].head()" ] }, { "cell_type": "code", "execution_count": 58, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:38.555576Z", "start_time": "2018-06-07T12:08:38.545098Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "count 3097\n", "mean 1336 days 09:09:07.497578\n", "std 303 days 12:53:26.331291\n", "min 877 days 00:00:00\n", "25% 1105 days 00:00:00\n", "50% 1290 days 00:00:00\n", "75% 1487 days 00:00:00\n", "max 3957 days 00:00:00\n", "Name: dayssinceinspection, dtype: object" ] }, "execution_count": 58, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.dayssinceinspection.describe()" ] }, { "cell_type": "code", "execution_count": 59, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:38.572760Z", "start_time": "2018-06-07T12:08:38.557612Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "
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addressline1addressline2addressline3addressline4nameinspectiondatelatitudelongitudepostcoderatingdayssinceinspection
239214 Antrim RoadBelfastMCCRACKENS B&B2007-08-07376040333301BT15 2AN4.03957 days
21005 Corry PlaceBelfastPort Health2008-09-01375405334543BT3 9HY5.03566 days
2190Dunmurry144 LaurelbankNICHOLAS RULES MOBILE VAN2009-09-09369869327711BT17 0RX5.03193 days
3027Clifton House2 North Queen StreetBelfastHelm Housing2011-07-20375111333607BT15 1EQ5.02514 days
1975Castlereagh19 Castlehill FarmYUMMIE TREATS2011-08-17371496338183BT5 7GU5.02486 days
\n", "
" ], "text/plain": [ " addressline1 addressline2 addressline3 addressline4 \\\n", "239 214 Antrim Road Belfast \n", "2100 5 Corry Place Belfast \n", "2190 Dunmurry 144 Laurelbank \n", "3027 Clifton House 2 North Queen Street Belfast \n", "1975 Castlereagh 19 Castlehill Farm \n", "\n", " name inspectiondate latitude longitude postcode \\\n", "239 MCCRACKENS B&B 2007-08-07 376040 333301 BT15 2AN \n", "2100 Port Health 2008-09-01 375405 334543 BT3 9HY \n", "2190 NICHOLAS RULES MOBILE VAN 2009-09-09 369869 327711 BT17 0RX \n", "3027 Helm Housing 2011-07-20 375111 333607 BT15 1EQ \n", "1975 YUMMIE TREATS 2011-08-17 371496 338183 BT5 7GU \n", "\n", " rating dayssinceinspection \n", "239 4.0 3957 days \n", "2100 5.0 3566 days \n", "2190 5.0 3193 days \n", "3027 5.0 2514 days \n", "1975 5.0 2486 days " ] }, "execution_count": 59, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.sort_values(by='dayssinceinspection', ascending=False).head()" ] }, { "cell_type": "code", "execution_count": 60, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:38.582084Z", "start_time": "2018-06-07T12:08:38.574647Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "text/plain": [ "addressline1 \n", "addressline2 \n", "addressline3 214 Antrim Road\n", "addressline4 Belfast\n", "name MCCRACKENS B&B\n", "inspectiondate 2007-08-07 00:00:00\n", "latitude 376040\n", "longitude 333301\n", "postcode BT15 2AN\n", "rating 4\n", "dayssinceinspection 3957 days 00:00:00\n", "Name: 239, dtype: object" ] }, "execution_count": 60, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.sort_values(by='dayssinceinspection', ascending=False).iloc[0]" ] }, { "cell_type": "code", "execution_count": 61, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:38.826003Z", "start_time": "2018-06-07T12:08:38.584282Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 61, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "f,ax = plt.subplots(figsize=graph_figsize)\n", "df.dayssinceinspection.dt.days.plot.hist(ax=ax)" ] }, { "cell_type": "code", "execution_count": 62, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:39.051369Z", "start_time": "2018-06-07T12:08:38.829018Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 62, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "f,ax = plt.subplots(figsize=graph_figsize)\n", "df.dayssinceinspection.dt.days.plot.hist(ax=ax)\n", "first_inspection = df.sort_values(by='dayssinceinspection', ascending=False).iloc[0]\n", "ax.vlines(first_inspection.dayssinceinspection.days, *ax.get_ylim())" ] }, { "cell_type": "code", "execution_count": 63, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:39.062636Z", "start_time": "2018-06-07T12:08:39.053835Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "name\n", "Subway 23\n", "Spar 20\n", "Winemark 18\n", "Mace 15\n", "Wineflair 13\n", "dtype: int64" ] }, "execution_count": 63, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Data Cleaning\n", "df.groupby('name').size().sort_values(ascending=False).head()" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true, "slideshow": { "slide_type": "slide" } }, "source": [ "## Extra Time? Location Mapping\n", "That's some awful strange looking latitude / longitude" ] }, { "cell_type": "code", "execution_count": 64, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:39.085659Z", "start_time": "2018-06-07T12:08:39.064833Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/html": [ "
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addressline1addressline2addressline3addressline4nameinspectiondatelatitudelongitudepostcoderatingdayssinceinspection
01 Corry PlaceBelfastHeyn Group2012-08-23375525334581BT3 9AH5.02114 days
1Rosemary Presbyterian Church26-36 North Circular RoadBelfastRosemary Lunch Club2014-10-21378213332938BT15 5HD5.01325 days
237 Montgomery StreetBelfastJohn Ross & Co Auctioneers2015-03-19373992334055BT1 4NX4.01176 days
3108 Donegall StreetBelfastThe Maverick/Boom Box2014-11-03374852333733BT1 2GX5.01312 days
41 Union StreetMaverick2014-02-13378435281262BT1 2JF4.01575 days
\n", "
" ], "text/plain": [ " addressline1 addressline2 addressline3 \\\n", "0 1 Corry Place \n", "1 Rosemary Presbyterian Church 26-36 North Circular Road \n", "2 37 Montgomery Street \n", "3 108 Donegall Street \n", "4 1 Union Street \n", "\n", " addressline4 name inspectiondate latitude longitude \\\n", "0 Belfast Heyn Group 2012-08-23 375525 334581 \n", "1 Belfast Rosemary Lunch Club 2014-10-21 378213 332938 \n", "2 Belfast John Ross & Co Auctioneers 2015-03-19 373992 334055 \n", "3 Belfast The Maverick/Boom Box 2014-11-03 374852 333733 \n", "4 Maverick 2014-02-13 378435 281262 \n", "\n", " postcode rating dayssinceinspection \n", "0 BT3 9AH 5.0 2114 days \n", "1 BT15 5HD 5.0 1325 days \n", "2 BT1 4NX 4.0 1176 days \n", "3 BT1 2GX 5.0 1312 days \n", "4 BT1 2JF 4.0 1575 days " ] }, "execution_count": 64, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head()" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2017-10-23T09:33:33.149261Z", "start_time": "2017-10-23T09:33:32.993325Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "# The Irish Grid\n", "![](grid.jpg)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Grid Example\n", "[https://irish.gridreferencefinder.com/](https://irish.gridreferencefinder.com/)\n", "![](map.png)" ] }, { "cell_type": "code", "execution_count": 65, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:39.128138Z", "start_time": "2018-06-07T12:08:39.092448Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "(-5.917804141875383, 54.61000494684366)" ] }, "execution_count": 65, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from pyproj import Proj, transform\n", "prj_wgs = Proj(proj='latlong',datum='WGS84')\n", "prj_itm = Proj(init='EPSG:29903')\n", "\n", "def reproject_itm_to_wgs(eastings, northings):\n", " long, lat = transform(prj_itm, prj_wgs, eastings, northings)\n", " return long, lat\n", "reproject_itm_to_wgs(334581,375525)" ] }, { "cell_type": "code", "execution_count": 66, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:39.147560Z", "start_time": "2018-06-07T12:08:39.130819Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "
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addressline1addressline2addressline3addressline4nameinspectiondatenorthingseastingspostcoderatingdayssinceinspection
01 Corry PlaceBelfastHeyn Group2012-08-23375525334581BT3 9AH5.02114 days
1Rosemary Presbyterian Church26-36 North Circular RoadBelfastRosemary Lunch Club2014-10-21378213332938BT15 5HD5.01325 days
237 Montgomery StreetBelfastJohn Ross & Co Auctioneers2015-03-19373992334055BT1 4NX4.01176 days
3108 Donegall StreetBelfastThe Maverick/Boom Box2014-11-03374852333733BT1 2GX5.01312 days
41 Union StreetMaverick2014-02-13378435281262BT1 2JF4.01575 days
\n", "
" ], "text/plain": [ " addressline1 addressline2 addressline3 \\\n", "0 1 Corry Place \n", "1 Rosemary Presbyterian Church 26-36 North Circular Road \n", "2 37 Montgomery Street \n", "3 108 Donegall Street \n", "4 1 Union Street \n", "\n", " addressline4 name inspectiondate northings eastings \\\n", "0 Belfast Heyn Group 2012-08-23 375525 334581 \n", "1 Belfast Rosemary Lunch Club 2014-10-21 378213 332938 \n", "2 Belfast John Ross & Co Auctioneers 2015-03-19 373992 334055 \n", "3 Belfast The Maverick/Boom Box 2014-11-03 374852 333733 \n", "4 Maverick 2014-02-13 378435 281262 \n", "\n", " postcode rating dayssinceinspection \n", "0 BT3 9AH 5.0 2114 days \n", "1 BT15 5HD 5.0 1325 days \n", "2 BT1 4NX 4.0 1176 days \n", "3 BT1 2GX 5.0 1312 days \n", "4 BT1 2JF 4.0 1575 days " ] }, "execution_count": 66, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.rename(columns={'longitude':'eastings','latitude':'northings'}, inplace=True)\n", "df.head()" ] }, { "cell_type": "code", "execution_count": 67, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:39.986023Z", "start_time": "2018-06-07T12:08:39.150363Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "
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latitudelongitude
054.610005-5.917804
154.634570-5.941997
254.596383-5.926639
354.604188-5.931226
454.647520-6.741936
554.581714-5.947958
654.628103-5.939474
7NaNNaN
854.603692-5.931607
954.610187-5.963893
\n", "
" ], "text/plain": [ " latitude longitude\n", "0 54.610005 -5.917804\n", "1 54.634570 -5.941997\n", "2 54.596383 -5.926639\n", "3 54.604188 -5.931226\n", "4 54.647520 -6.741936\n", "5 54.581714 -5.947958\n", "6 54.628103 -5.939474\n", "7 NaN NaN\n", "8 54.603692 -5.931607\n", "9 54.610187 -5.963893" ] }, "execution_count": 67, "metadata": {}, "output_type": "execute_result" } ], "source": [ "def apply_itm_to_wgs(row):\n", " eastings, northings = row['eastings'], row['northings']\n", " if eastings is not None and northings is not None: \n", " long,lat = transform(prj_itm, prj_wgs, eastings, northings)\n", " else:\n", " long,lat = None,None\n", " \n", " return pd.Series({'latitude':lat,'longitude':long})\n", "\n", "lats_n_longs = df[['eastings','northings']].apply(apply_itm_to_wgs, axis=1)\n", "lats_n_longs.head(10)" ] }, { "cell_type": "code", "execution_count": 68, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:40.007934Z", "start_time": "2018-06-07T12:08:39.988683Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "
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addressline1addressline2addressline3addressline4nameinspectiondatenorthingseastingspostcoderatingdayssinceinspectionlatitudelongitude
01 Corry PlaceBelfastHeyn Group2012-08-23375525334581BT3 9AH5.02114 days54.610005-5.917804
1Rosemary Presbyterian Church26-36 North Circular RoadBelfastRosemary Lunch Club2014-10-21378213332938BT15 5HD5.01325 days54.634570-5.941997
237 Montgomery StreetBelfastJohn Ross & Co Auctioneers2015-03-19373992334055BT1 4NX4.01176 days54.596383-5.926639
3108 Donegall StreetBelfastThe Maverick/Boom Box2014-11-03374852333733BT1 2GX5.01312 days54.604188-5.931226
41 Union StreetMaverick2014-02-13378435281262BT1 2JF4.01575 days54.647520-6.741936
\n", "
" ], "text/plain": [ " addressline1 addressline2 addressline3 \\\n", "0 1 Corry Place \n", "1 Rosemary Presbyterian Church 26-36 North Circular Road \n", "2 37 Montgomery Street \n", "3 108 Donegall Street \n", "4 1 Union Street \n", "\n", " addressline4 name inspectiondate northings eastings \\\n", "0 Belfast Heyn Group 2012-08-23 375525 334581 \n", "1 Belfast Rosemary Lunch Club 2014-10-21 378213 332938 \n", "2 Belfast John Ross & Co Auctioneers 2015-03-19 373992 334055 \n", "3 Belfast The Maverick/Boom Box 2014-11-03 374852 333733 \n", "4 Maverick 2014-02-13 378435 281262 \n", "\n", " postcode rating dayssinceinspection latitude longitude \n", "0 BT3 9AH 5.0 2114 days 54.610005 -5.917804 \n", "1 BT15 5HD 5.0 1325 days 54.634570 -5.941997 \n", "2 BT1 4NX 4.0 1176 days 54.596383 -5.926639 \n", "3 BT1 2GX 5.0 1312 days 54.604188 -5.931226 \n", "4 BT1 2JF 4.0 1575 days 54.647520 -6.741936 " ] }, "execution_count": 68, "metadata": {}, "output_type": "execute_result" } ], "source": [ "try:\n", " df = df.join(lats_n_longs)\n", "except ValueError:\n", " # Gets thrown if I accidently run this twice\n", " pass\n", "df.head()" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2017-10-23T12:23:30.872846Z", "start_time": "2017-10-23T12:23:30.840918Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "## Maps!" ] }, { "cell_type": "code", "execution_count": 69, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:40.314832Z", "start_time": "2018-06-07T12:08:40.011826Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 69, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import geopandas as gp\n", "from shapely.geometry import Point\n", "geometry = [Point(xy) for xy in zip(df.longitude, df.latitude)]\n", "_df = df.drop(['longitude','latitude'], axis=1)\n", "crs = {'init': 'epsg:4326'}\n", "gdf=gp.GeoDataFrame(_df, crs=crs, geometry=geometry)\n", "gdf.plot(figsize=graph_figsize)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## Get Open Data Shape File to give a meaningful map of NI\n", "[Search for \"Shapefile\" on OpendataNI](https://www.opendatani.gov.uk/dataset/osni-open-data-largescale-boundaries-ni-outline1/resource/7e384dd8-3a59-4ae9-be59-386d80fa4db3) (Also in this repo too)" ] }, { "cell_type": "code", "execution_count": 70, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:40.837188Z", "start_time": "2018-06-07T12:08:40.317436Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 70, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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xRSm1Q2ud09dxMtIlxDBrdLjYXd7Kc9srePtAHQAzE8P59lnZLEyP4v53C3k+t6L7+Msf3MzyrFjW7a/tvu1zc5O4cmkGze1ulFJsLmqioM7OV5dlDinpqmzpZGk/ph8bHS4ig80crLFj6/Tg9PgobWqntKmdTwqbKGlsH3QMQowHLR2eY/6d9ldepY28yr1cMDeJmFDLCEQmxjMZ6RJiGFW3dnLlP7cMqa/g1PhQ7rxkLk9tKaOuzcmeShtevyYm1MI5sxN492ADjQ5X3xfqRVSImaVTYpiRGA5Ajc2JxWTA5fXRYHfRYHdxuN6BT3YhCjEo81Ij+c83T+teFiAmPhnpEmIUaa3588YCnthSRmuHZ1DXUAq+sXoqi9KjuPnJHTiOa5fT3O7m37mVQy5A2trhYUN+HRvy64Z0HSHEiZSC287KloRL9EiSLiGGyO/X/PLVfTy1pXzQ17CYDPzhsvnkVdi45ZmdJ10/YndK70IhxqrLl6Rx3ilJgQ5DjFGSdAkxSE6Pj3X7avnbe4Ucrh9838FV2XHccuY07lp3kD2VJ28YDdDp8Q36sYQQIyta1nGJk+hX0qWUKgXsgA/waq1zlFK/Ar4BNBw57A6t9Zs9nHsB8FfACDystb5rGOIWIqDq25x89eGtQ0q2AMKtJn5/2XxueXpnvxIuIcTYZTEZOHuW1PgSvRvISNcarXXjcbf9WWt9T28nKKWMwN+Ac4FKYLtS6lWtdf7AQxVi7PjJi3sHnXAZFIRZTSybGsu1p2WSGhVMUoSVvGGOUQgxus6dk8jSLKlmL3o30tOLS4FCrXUxgFLqOeASQJIuMW5tK2lme0nzoM4Ns5r434vncNmSNJRStDk9fHS4gX1VbcMcpRBitJ2SEhHoEMQY19+kSwMblFIaeFBr/dCR27+tlLoWyAV+oLVuOe68VODoQieVwLKhBCxEIJU2tnPD49tP2FnYX7/9wlzsLi/XP76dRoeL/dVt/S66KIQYuy5ZmMJlS9ICHYYY4/qbdK3SWlcppRKAjUqpg8A/gDvpSsjuBP4I3DDYQJRSNwE3AWRkSCVfMTZNiQvloWuWUFBn548bCwa8k/C9Q/WEWU28f6ih74OFEOPCsqwY/nrFokCHIcYBQ9+HgNa66sif9cBLwFKtdZ3W2qe19gP/pGsq8XhVQPpRv6cdua2nx3hIa52jtc6Jj48fyHMQYlQtzozG7vTiGkSD513lrcTK7iYhJpSzZiUEOgQxTvQ50qWUCgUMWmv7kZ/PA36jlErWWtccOeyLwL4eTt8OTFdKZdGVbF0BXDU8oQsx+rTW/GH9IR75uKTPY4PNRjJjQ0iJCmZ6YhhxoVaKG9t54IPiUYhUCDEapieE8Y3VUwMdhhgn+jO9mAi8dKRXmwl4Rmu9Tin1pFJqIV3Ti6XAzQBKqRS6SkNcqLX2KqW+Daynq2TEo1rr/SPwPIQYFW/ure1XwvWN1Vl8OSed+94t5EBNG/uqbNTbB9+6RwgxNh2ud3Dbs7u45/IFmI2KwgYHcWFW4sKG1jlCTEx9Jl1Hdh4u6OH2a3o5vhq48Kjf3wROqN8lxHiUGRuCyaDwnqQv4ddXZXHjqqlcdN9HNDrcoxidECIQ3thbw5biJrx+ja3Tg8Vo4PYLZvJ1GQETx+nXmi4hRJe5qZGcP7f3Fh+JEVZuOn0qd7y0VxIuISaRpnY3ts6uvqtun5+HPiymtLGdujYn6/bVsKmwkaYhNKoXE4O0ARJiAPZV2fj48PE1gruEB5n41w1LcXr8vHuwfpQjE0KMJfV2F2f/6QP8Wh9TFmZldiw/XzuH2clS02sykpEuIQYgzHri95QZiWE8eM0S3v3Bmewsa+WyBzYFIDIhxFjj8+sT6vB9UtjERfd9zP3vHg5MUCKgZKRLiAF471B99xQCwLzUSJ6/eTnvHKjnrD++P+C6XUKIycfn19yzoYBQq4nrV2YFOhwximSkS4gBuO60Kaydn4zFaODWNdN47qblPL6plNue3SUJlxBiQH77xgHufecwXt/Aa/6J8UlGuoQYAINBcf+VizhUZ+fjw41c+c8t7Km0BTosIcQ45PNr/rSxAIOCW9dkc6Q0k5jAJOkSohfVrZ28tKuKonoHh+rsNDnczE+LxOPz80FBAyepGiGEEP12z4YCYkKtXLVMWuBNdJJ0CXGc5nY333t+Nx8UnNgfsTbfGYCIhBAT3a9e3c/K7FgyY0MDHYoYQbKmS4jjfPPJHT0mXEIIMVLcPj93vn4g0GGIESZJlxDHCbEaAx2CEGIS+qCgnsJ6e6DDECNIki4hjnP5kvRAhyCEmIQ8Ps3d6w7hkwWjE5YkXUIcZ+38ZGYlhQc6DCHEJLQhv47tpc2BDkOMEEm6hDiK3695cnMpRQ2OQIcihJikbn5yB+v21eLy+gIdihhmsntRiKO8X1DPL17ZH+gwhBCTmK3Twzef2kF4kInrV0zhxlVTqWztIL+6jUUZ0WQnhAU6RDFIknQJcZTd5a2BDkEIIQCwO73c+24h975b2H3bsqwYnr/5tABGJYZCpheFOMpNZ0wjNSo40GEIIUSPQq0yVjKeSdIlxFHCrCb+csVCTAZpxyGEGHvePVhPS7s70GGIQZKkS4jj5GRGYzbKPw0hxNj0oxf2UNbULqUlxiEZpxTiOO1uH07ZNSTGuRCLkQ63vI4norcP1PH2gTpiQy18dVkG3zt3hjTLHifk67wQR9Fa89SWMrR8gRTj3IxEqTU30TW1u7n33UKue2w7Va2dgQ5H9IMkXUIc4fT4+PnL+7jrrYOBDkWIIStqcDAjUUoLTAYfFjRwy1M70PJtccyTpEuII3716n6e3loe6DCEGBZ2p5dgi6wgmSzyKm089knpMbftr7bxyu6q7mTsN6/l8+eNBewqb8Ht9QcgSiH/IoUAXsurZlNRU6DDEGJY7auysSAtkrxKW6BDEaPgN6/ns6mokX9em8PWkmbyKlr53VsHWbevlqVZMbx3qJ6Sxnb++s5h4sKsXLM8k68uzyAuzIrWWtaFjQJJusSkV9Tg4Ldv5FPX5gp0KEIMK59f45UdbhPe5+YmkVvWgtPjY0+lDZ9fc/e6g+w8Uuz5rX21vLWv9phzGh0u/vx2AQ9+WMTaeUksyohmWnwYy6bGBuIpTBqSdIlJrd3l5cbHt0vCJSYsg1KYjQqPT5KviaqsqYOPbl+Dy+NnW2kzJqOBO78wlyc2lbEhv5aWDk+v53a4ffxnRxX/2VHF7RfM5NQp0RgMsvJopMj/WTGpbSttprSpI9BhCDFi9lbZmBYvC+onsvyaNipbOokMMXPunEQATkmJ5PeXzefD29ewenpcv65z97pD/O29opEMddKTpEtMShXNHVz76DZueiI30KEIMeKcHh8xoZZAhyFG0KtHLZg/WniQmb9/dTG3XzCTJZnRfV7nT28XsG5v9UiEKJCkS0xCfr/m7vWH+LCgQaZcxKRQ2tTB1LjQQIchRtC97xbyyMclvSZet5yZzQvfPI0Xb1nBgvSoXq+jNdzx8n7KZQZgRPRrTZdSqhSwAz7Aq7XOOeq+HwD3APFa68Yezr0bWEtXgrcR+B8txUREAFQ0d/D+oXoe21RKcUN7oMMRQohh9ds3DvDoxyUsnxbLquw4lk2NxWI0EBdmweX1U93aydyUSL66LAOf38++qrYer9Pc7ua253bx0rdWYJA+tMNqIAvp1xyfVCml0oHzgB6LGymlVgArgflHbvoYOAN4f8CRCjFIxQ0Ofr/uIOv31wU6FCFGVWSwmV9eNAeHy8vf3y8MdDhiFFTbnLy4s4oXd1ZhUBBqNTE3JZKSxnZq25xYTAaWTonhxxfMAuC3rx/gUJ39hOvkVbRy11sHuGPtnNF+ChPaUKcX/wzcDvQ2cqWBIMACWAEzIJ98YkQ5PT52lbewraSZ257dxVl//EASLjHpBJuNbPze6Vy6OJX1+2tlh+4k5NddRXI3FzdR2+YEQAGxYRb+9l4hGTEhPHxdDhZjz6nAQx+VsH5/bY/3icHp70iXBjYopTTwoNb6IaXUJUCV1jqvt4JqWuvNSqn3gBq6/q7v11ofGI7AhehJRXMH+6ps3PLMTumfKCa1ldmxJEQEYXd62FHWEuhwxBjh8vp5fU8Nb35nNZmxoWituWRhCv/ZUdnj8a/sruL8U5JGOcqJq79J1yqtdZVSKgHYqJQ6CNxB19Rir5RS2cBsIO3ITRuVUqu11h/1cOxNwE0AGRkZ/Y1fiG4PfVjE/70pfROFuGh+MtcszwRgX1Ubbp+0fBGf8fk1lz2wib9dtZjTZ8Rz92XzMRkNPLvtxJVCsaHWAEQ4cfVrelFrXXXkz3rgJbrWZWUBeUcW2acBO5VSx6fDXwS2aK0dWmsH8BZwWi+P8ZDWOkdrnRMfHz+oJyMmr9f3VHPPhoJAhyHEmJAaFcz8tK4dasWNDhn1FSewO73c/OQO8ipaUUqxIC2yx+NypvRdZkL0X59Jl1IqVCkV/unPdI1ubddaJ2itp2itpwCVwGKt9fGTv+XAGUopk1LKTFeyJtOLYtg1t7ulgasQRxyud2A2di37+EpOOl9YmBLgiMRY1OnxcfXDW2mwu5iTEkFixImjWhkxIQGIbOLqz0hXIvCxUioP2Aa8obVe19vBSqkcpdTDR359ASgC9gJ5QJ7W+rUhxizECa44NYMwq3S1EgIgyGyg0+Njb6WNNqdXtv2LXtldXu58PZ/wIDOdbt8x9xkUxIXJ9OJw6vNTSmtdDCzo45gpR/2cC3z9yM8+4OahhShE3zYVNeJweQMdhhBjQmljByvuepe5KZF895zp/GLtHJocbj4oaAh0aGIMejWvmpXZsbQ5j30PjQ+3ki4jXcNKKtKLCWFjvpSEEOJT+TVt2J1eqlo7+aCgge/9e3f3dKMQPfndWyduQmpyuNlS3BSAaCYuSbrEhCDrDoQ4UXlzB39/v4j3DzVQb5c6XaJ3rR2eE24zGw3sLG/psbWQGBxZBCMmhAb5QBGiVxajAUMv9RSF6Mm0+FDu+tJ8Tp0SE+hQJhQZ6RITQmp0MBFB8h1CiOMp1VUodXdFa6BDEePEoowo/nH1Ekm4RoB8SomA2ltp49FPSgi2GPlKTjrz0yLpqcOB36/5/fqD2Do8/PTC2UQGm4+5//qVWXw5J53rH9vOttLm0QpfiDElNSqYb545jdhQCyaDorq1k3lpkTyztSLQoYlx5E9fXkhWXGigw5iQJOkSo87n12wtaeLRj0t4+0B99+3PbC1nanwo16/MwuH04tearSXNhFtNpEQF8c+PSjhzZjxFDQ4O1LRRa3NS3+bi1jXZxIZZ+O0bB9heJgmXmHxiQi385IJZXLo4FVMPffRiQ61orXlxV1UAohPjxZLMaC5fkkamrJEdMWosLpDLycnRubm5gQ5jQvr077u3fpkjyenx8Z/cCh74oJiq1s5hu26Q2YDZaMDulJIRYvK5fEkaP1s7m6gQS6/HeH1+ntxSxm9ez5fq9OIYMxPDiQ41c8WpGXx+QYrUdBskpdQOrXVOX8fJSNcksqOshb+8XcDmoiZSo4MxGRQ/PG8mn5uXPOKP/WFBAz99ce+wJlufcnr8OD1SjV5MTrFh1pMmXACfFDXx69fyRykiMV5868xpfP/cGZh7GB0VI0OSrkkgr6KVxzeV8tJRUwtlTR0A/HFjAdMSwpiRGD7kx/H5NbZOD6FWI51uH09vLee1vGoqWzqlcKkQI+S8UxLRWvc6eu33a3aVt4xyVCeXGhXMwvQodpa3UGNzBjqcSSfUYuT6lVn84LwZAZn1mMwk6ZrgNuyv5dZnduLx9TynUFjv4LZndnHfVYsGnXh5fX7W7a/l/ncLOVhrB7rqZpU3dww6biHEyQWbjSzJjKaypZNF6VG9Hldnd/Luwfpe7x8Jn36OHz2VefGCFH524WyCLcbujTB+vya/po3/e/MAm4qkCOdwMShYnBHN3NRIpiWEYTEqdpa1Utjg4NY10zhzRgJKBWaZyWQna7omsPX7a7n16Z14/X3/HceGWpgSF0pxgwOryciyqTF8YWEqa2Yl9HpOaWM7D35YxAeHGqiWb6tCjJo5yRE8+43lRIaY+zy2vs3Jhfd+TKNj5GrZJUZYCbGYKGv9JHvjAAAgAElEQVRq57w5SXz33OlkxoSyp7KVdw7Ws3p6HKunx/d6vs+v+fnL+3h2W/mIxTgZRIeYuXJpBlcvzyQlKviY+/x+Leu1RlB/13RJ0jVBrdtXy7ef6V/C1Zu06GBevnVljw1PPzrcwPee302jwz2UMIUQg/DtNdncdnY2VpOxX8f/J7eCRz8ppcbWicVooN7uItRiJCrEMuR1liuzY/nH1UsIMRvx+DTBlv7F1JP86jbW3veRLPbvJ6vJQJjVRGJEEFnxofx87WySI4P7PlEMO0m6JqFP/y7f2lfLd57dNaSE61NmoyIiyMys5HBmJUWwNCuGafGh3Piv3O51YUKI0bUyO5ZHv3Zqv5MugEaHC5NBUdLYTn5NG2vnJRNiMfGb1/ezr6qt38VT56dFcumiVFo6PDS3u/nO2dOJDz/xi9lgbStp5ssPbh626000CeFWrlyawcULUsiKC8Uoo1djgiRdE1huaTPPbC3H5fVT1+ZkRlI4tg4P7xysI8xqorndzTDkW0KIMSrUYmTHL84lyDz4UaXjHaxtIyrYwuF6O8UN7WTGhuDXmsUZ0bi9flxeP4UNDuamRA5rknU0j8/PZQ9sJk+q5/doSmwI/3vxKSdd9jHRaK3p9PgIsYztJehSMmICa3f78Po16/bX4vNrcss+25nk9Mh0nxAT3ekz4oc14QKYlRQBQFJkUK/rr9JHqGjmoVo7v3hlH1UtnSNSVma8y04I4ys56Vy7InNAo5vj2UeHG/iwoIHPL0glxGpkWnxYoEMaFpJ0jUNnzIjnjBnxLEyPory5g/yaNraVSCV2ISaL9ftr2VbSzNKs8d8bz+Pz8+y2cnkP60FSRBDfOnMa1yzPnHSL4Fdlx7F8auyEqyEmSdc4dsOqLJrb3fz4v3sCHYoQYhT5Ndz7zmGe+vqyQIcyJBXNHVzzyFZKZX3oMWJDLVy2JI1b1mSf0Gd2slBKYTZOvERTkq5xyu/XPLe9grvXH6S1wxPocIQQo6yksX1clwFoaXdzw+PbJeE6SnSImSuWZnDz6VP77DIwVFpr2jq9/So70h+H6+y8sKOS2ckRzE2NJC06mCCzkQ63F1unh8TwIDRgd3p6fW4lje38/b1CdlW08r1zZrBsakyPu+fHM0m6xqnKlk7ufD2fTo8v0KEIIQLAajaM24TrjT01/OzlvfKF8SjnzknknssXjOjIls/np7y5g9fyqvjvzkrCgy384bIFZMSEEGodWjpQWO/gwQ+LATAaFJmxIaREBrOv2obD6WVKXCjBZiO1bU7OnpXA7y6dd0JxVlunh6nxYVS2dHDrMztJjQrio9vPGrev855I0jVOZcSG8JVT03l6a1mv1eaFEBNXcUM7f9pwiO+fNzPQofRbRXMHf3+/SIqg9uCH580ckYTL59cU1LXxwo4q3j9YR1Hj0SOLTj7314+YlRTONadlkhYdgsfrpbXTh9moMBsUK7Lj2JBfR3O7m+tOm4JGU9bYzj0bClgzK4Grl2di6/BQ3Nh+zGMWN7RT3PDZbYX1ju6fX9hRyerp8Vw4L+mYxGthehQL06O4cVUWr+ZVExtmYaIVzZeSEePc01vLuOutg9id0ttQiMlmVXYcD1+XM+w7GUeC2+vna49tk3Y/PViaFcPzNy0flrY8rR1uGh1udpW38PaBOraVNNMyhBHFEIuRDnfXjMqc5AjCg0xsPbLpwWhQhFlN2DoHfn2TQXHLmdO4ZU32uHj99kXqdE0iBXV2/vr2YVxeP7srWnF5fNilwbQQk8LMxHCuWzGFSxamDHmKaKRUt3Zy05O57KtqC3QoY9J9Vy7i4gUpgz7f79es31/Ls9sr2FbShNPjH8boRlZcmIUfnjeTzy9MwWI0YBqnuxUl6ZrEvD4/W0uau/4rbmJvla37m4oQYmIJMhvY8N0zyIgdmRpaQ+Hx+fnL2wU8/FEJLu/4SQRGi8Vk4A+XzeeShamDOl9rzVNby3lqcxmH6uzDHN3oS4kMYv33Tic8aPzt2Oxv0jU+U0pxUiajgZXZcXz/3Bk8f/NpnH9KUqBDEkKMEKfHz1ce2sxP/rsHj29sJTYtHW7+9l6RJFy9+MVFcwadcDXYXdzy9E5+8fK+CZFwAVTbnLx9oA5gzL2Wh8vYHIsWwyrhJC071s5LJikyiCe3lOGWN0YhxqUamxOHy4vPrxlLy2MSwoNIigiits0Z6FDGpI8PN5BX0cpNp08lOz6sz116JY3tvHOgjg3769hWOjGLyf70xb08+nEpv7x4DqdOGf/Ff48nSdcksHZ+Mq/lVdPU7sZiNOD1a0wGxbfWTONbZ0xDKcWKabF859ldtA9xGjI9JpiKZmnjIcRoMii4cVXWmFuQXN/mpMHhCnQYY9b6/XVkxIQQHWLmjgtnk1vazP7qNq5ZnkllSyebihpJjAgiPSaE/Jo2fvHyvkEtWh9PnB4/+6ttVE/QdlCSdE0CKVHBfOfs6XxuXjIRQSa8fo3Xpwm2fPYGffbsRPb9+nwcLi9Gg8Lh8vKT/+7l3YP1/XqMILOBM2bEc8/lC/jJi3t5Y0/NSD0dIcRxZiZFsCAtKtBhnOBv7xXi84+9dcNjSUSwiVNSIrn5yR1sLWnmxxfMYldFC197bPsxu9LDg0yTZpe6xWSYsMtiJOmaBOLCrFyxNKP7d7NR9TgFoZTqXsAYYjHxu0vn8aMX9vDR4QayYkNJiLCypfizIe3UqGDOnp3AFadmMDU+tPtbdmzoyFZSFkIcKzrETGO7i4TwoECH0u3NvTX8a3NZoMMY8/ZVdY1gfeXUdH7/pflszK/jS//YfMJxkyXhAjh3ThJW08Rcct6vpEspVQrYAR/gPXqFvlLqB8A9QLzWurGHczOAh4F0QAMXaq1Lhxy5GHGJEUH8/auLcXv9xIRaaG53c9dbB7CYDNS1ufjDZfN7bOfQ7vKxKjuOvVW2CT8ULsRYsKmoidfyarhxVVagQwGgrKmdH78gPWH7khoVTM6UaDJjQzlvTiLf//dupNY1FNTaqWtzkRQ5dr5EDJeBjHStOT6pUkqlA+cBJysv/ATw/7TWG5VSYYCs1h5HwqwmOLIOPybUwt2XLejznD9+eQF+v2btfR9L0iXEKPj52tncsHJKoMMAYG+ljW8+taPHWoFGg8JkULKbEZgaH8q5cxIJs5jo9Pj4zev5XHFqOv/aVBro0AKupLGdQ3X2SZ909eTPwO3AKz3dqZSaA5i01hsBtNaOno4TE4PWGrvLy5t7avh3bgUHaqQQohAjzWoysHxq7LBUMx8Oh+vtrMqOIzEyiE8janC4SI0K5sqlGRgNijf31vDLV/ZN6hZmTQ43TreP1/NqqGrtZElmNM9tqwClJv2GJLfPz/3vHmZxRtS4rNl1Mv1NujSwQSmlgQe11g8ppS4BqrTWeSf5xz4DaFVKvQhkAW8DP9FaS6XOCcDW4WF7aTObi5v4pLCRwnoHXlk0K8SoSY0K5skblzI1PizQoXS7dHEaly5OO+kxlyxM4emtZZO2Qr3ZqPjS4jQ2FzdRdWSX3o6yFsKtJtrdXuRtFLaXtrBuXy2X56QHOpRh1d+ka5XWukoplQBsVEodBO6ga2qxr+uvBhbRNQX5PPA14JHjD1RK3QTcBJCRkXH83WIMcHv9PLutnI35dSjV9SYhle6FCIw5yRHc+YVTxlTC1V8hFhO3nz+Lax/dFuhQAkKh2Fdlo+245RfSvu1YT20t50uL0/qsXzae9Cvp0lpXHfmzXin1EnAGXSNXn45ypQE7lVJLtda1R51aCezWWhcDKKVeBpbTQ9KltX4IeAi62gAN+hmJEVHR3MGl/9hEg11q7ggRSOFWExfOS+aOtbOJDB6/Uy8v7aoKdAgB4/b5cfv8E3aH3nDJq2jlnD9/wMXzUzjvlEROSYkMdEhD1mfSpZQKBQxaa/uRn88DfqO1TjjqmFIgp4fdi9uBKKVUvNa6ATgLkKaK40xFcwf7qmzYnbIoXohAiAgycdWyTGYkhuH2+rl0cRqWcfyB7fX5KW1qD3QYARUeZGJ3RWugwxjzihva+es7h/nX5lJ2/PxcjON81Ks/I12JwEtHRrRMwDNa63W9HayUygG+qbX+utbap5T6IfCO6rrADuCfwxC3GCG7ylto6XBjUIr3DzWQW9Y8adddCDEWrJ4ex/99cR7pMWOvofVAdbi9hFhMrN9fx67yyZlwRASZCLGY2FdlC3Qo/XbtaZmsmBbLE5vL2FTUFJAYWjs87K+2MX8MFgEeCKX12JvJy8nJ0bm5MiA22uranFz98FYO18smUyHGgphQC5t+ctaYa+8zEK0dbkKtJraXNHPbs7tYPT2ODw830tzuDnRoATEnOYL8cbSze+28ZO6/ahFKKbTWPL21nDtfzw9I2Y9wq4nLctIwKsVPL5w9pka9lFI7jq5h2hupSC+6OT2+SVX1WIixKtxq4tLFqXxhUSptTs+4TLoe+KCIfVU23thbg9lowOvz49fw8u7qQIcWUG1ODyEW47jYhPT1VVn88PyZ3eVIlFJcvTyT8+Yk8sgnJTz4QfGoxmN3eXnsk1Kga13cry4+Zdwtspeka5KzdXrYXdHKq7ureWtfzbh4IxBiorGYunqXLp8ay/KpMcxOihh3HybHe2V3dXetPrcUQ+1W1drJGJxg6tGXc1J7TPgTIoL46edm8/1zZ/Dq7moO1Nh5bFPJqD6vJzaX0WB38Y+rl4zegw4DSbomsfX7a/mf53bh9MgbohCB9LsvzuNLS05e22qse+9gPR8UNJAWHUxVayeJEVYOSN/7E4yXhAsgPPjkfXStJmN3Ha1zZifQ4HCxqbCJpnYXlS2dHKy1j2h8eyrHz7q4T0nSNQm1OT387s2DvLCjYlJXhBZiLMiMDeELi1IDHcagNbe7+aSwkR+9kCdf4CaYsqYOkiOD+3Xsiuw4AC5ZmIrWGq3hgQ+LuHvdoRGJTSn40fkzR+TaI0mSrjHE6/OjAbNxZLeC19qc7KlslYRLiDFgQVrUmFoQPFC/f+sgz+dWEBtq4fMLEvh3bmWgQxLDJMQyuLWESimUghtWZqE1NNhdvJpXPaybJ647bcq4/LIiSVcA/GnDIYob25mbGklKVDBlje0U1Dv44FA9q2fE871zppOdED5ijz8jMZz/++I8vv3szknd30uIQLOaDEyNDw10GEPyu0vn8Z1zpmMyKCKDzby5txaHVFYfF4LNRqJCzEQEmXF6fZQ1dZAaFcwNq7JYlhVDdsLQuh0EmY3cuiYb6OrJ+Unh8JWb2Fdlw+HyEmYdX2mMlIwYZY9/UsKvXss/6TFKwY8vmMU3z5jW4/22Dg9BFgOljR1EBJtIigjC5fXT4fYRZDYQYvnsRdjp9mE2KkxGA8UNDl7Nqya3tIXtpc0B2fIrhOgSEWTi7R+cQUJ4UKBDGRZf+Nsn5Ne0yaL5cerUKdFMiQ3luhVTCLWayIob3i8DTQ4XT28t508bC4blemnRwXz847OG5VrDQUpGjEGVLR38d2ffrS+0hrveOkhuaQv1didBJiPLpsZQ3txBRXMHO48rKhhuNRFsMVJvdxEZbMZoUMSGdi2AbHC4+OKiVGYkhvPOgXpAoxT4tcZqMnDO7ETsLi8fFjSgFNy4MovshDCe2Fw2rmrJCDHetLt91LQ6SQgPosPtJdhs7N6aP9btr7ZR0tjORfNT0Fpz+wt7pLr6OLe9tIXtpS28tKsKr19z/imJnD07kdSoYE6dEjPkDgixYVZuXZONyajYmF/H1cvS8WvFx4WNvDKIMiKVLZ2s21fLBXOThhTXaJORrlFSUGfnW0/toKhhdFpfKAWrsuP4xUVzmJH42VSl1hqlFP94v4hFGVEsnRKDx+/nxZ1VVLZ0cLjOwbzUSJTqWnB/uM7B8qmxnDsnkdo2J395+zC5pc34x97LRohxx2RQTE8Mp8Hu4qbTs7jp9J5Ht8ea9w7V88hHJQSZDTQ43ORJwjWh3XHhLL6xeuqwfCnYV2Uj2GJk2pFG7VprvvbYdj4oaBjwtZSChelRPHLdqcSEnnyn5UiTka4xZE9lK998cgfVNueIP1Z0iJllWbH84LwZTE88cV1Yu9vHF//2CWvnJ/OdZ3fR5vTg15/V0YkIMnHGzHjq25zU2Fz89ovzSI3q2r1SWO8gKzaURRlRfHy4kf3VMhImxFB4/bq7ltUfNxTQ1unl2hWZJIQH4ffrQdfqqmtzEmY1ETpC613WzExgdXYcS377NrZO6ck60d2zvoDYUCsAJqNi7bxklFJ4/X6spoEttp+bemzTaqUUp8+IH1TSpTXsKm+l0zN+6kvKSNcI21Xewlcf3jqiRUctRgNLMqNpandx6eI0blo9tfvN2unxUdTgoKK5k0O1dp7dVk5tW1fyd96cRM6encCBGjtPbSnj8wtT+M5Z05nSy1x+fZuTUKuJEIuRRz4u4bdvHBix5yTEZJUUEURyVBBNDjffWJ3FNadN6fOcZ7aWk1vaTFFjO0YFTe1uvD7NZUvSOHVKDMEWA0syY3o9v8nhIibUMqCRjF3lLXzx75v6fbwY35TqSnKUgvgwK/NSIzklJYLvnjMDu8vLf3IruGh+CkmRg1ujeM0jW/nocOOgzt12x9kkRAR2bWR/R7ok6RpBeypbueKhLSOWcCkF3z9nBlcty6De7mJ/dRttnR7cPj/JkUFsKW7mnQN11NtdAJiNiu+cNZ0Oj4+4MAunZsYwP72reeihWjvTE8L6/GZ9uM7Ov3MrePSTUnwyxyjEiHnkuhxCLCYSIqzdUzEAB2ramJ0cAXRNzfzq1f38a3PZSa8VHWLmn9fmsCgjurs8hc+vaXK4eGJzGf/8qJitd5xNVEj/p2jKmzp4bU8120qaqbF1UlAnPVsnumnxoSxIiyIi2MxtZ2Vz37uFrJ2fzL3vHB5SU3Zbp4cf/iePjfl1gzp/WVYMz9982qDOHS6SdI0Blz+wie2lLYM+PzzIxLzUSFZPjyc21MKjn5SglCIlMoisuFC+tCSN2ckRuL1+9lS2EmQ20ujoSr5KG9uxmg34/JAQbmV6YhjTE8LYW2ljW2kzt501fUD/QGydHu54cS8b8+tw+2R3khCjZWpcKHdfNp96u4v1+2vZVNTEV5dlMC0+jA35dbyW1/9FyJHBZqbEhmAyGmhud1PS+Nka0yduWMrpM+IHFJutw0NuWTONDhc/e2kfXvkiNqH95pJTuPbIyKvfr2l0uHh8UykXL0jBaFBkx4fx6CclXDA3ibTogSVgj31Swu/eOjio3a/hVhPbfnYOwYOsKzYcJOkaA36/7iD/eL+o38ebjYpp8WHMT4vk4gUp5GTGDNuLqLDewf3vHiY+3Mr8tCiWT40lPtza53k1tk72VNp4/1ADz24rH5ZYhBBjz8L0KF6+dWWP97V2uHltTw1r5yUTZjVhMRmwdXjYWd7C9Y9vZ83MeOxOL7llg/+SKcY2i8nAR7evIfGoaTyPz89NT+Ry7YopHK7rqsN14bwkvnJqxoCv7/NrVtz1DnVtrkHF98h1OZw9O3FQ5w4HSbrGgDX3vH/MN8mTOWd2Ir+4aDZaQ3Gjg9zSFs6dk8jC9CgaHC7+u6OK+WmRrJgWO6rbypvb3bR2uDEbDWwtaSa3tJnntlewID2KWYnhbMivpaVDFtIKMRE8cPViLpibTGG9g8hgM7srWnk7v467vjSPDreP9ftrufP1fBamR7GluHlcLWAWQ6MUnD0rgf/3xXkU1Tu4993DfG3FFJIjg6k7st53YXrUkDZv/O29QooaHLzYj9JKx0uKCOJna2dz4bzkgHR4kKRrhGmtcfv8OJxeYsM+GzFyeX3YOj20tHs4/y8f9utaQWYD0SEWPD4//3PODC5fksYHBQ0U1jvodPv4/MIUsuP7Xm810j4pbOQf7xdx8+lTKWxwUNbUwZzkcJIig7n/vUK2lTQHND4hxOAZDYpnvr6MaQlh/Pq1fL6Sk85redVsKWkiJzOGyGAzsWEWdpa18M7B+kCHKwIkOsSM0+On09NVePuha3IoanDw9dVTh+X6B2ra+NxfPxr0+bGhFlZPj2P51FhsnR5uWJU14q31QEpGjJiypnbuXn+IDwsauhfIh1qMhFpNOD1dCVd/lzVYTAbiQi1U25zU2JyEW008vaWMDftrWZAWxddXZw1oYetIq2rtpMbWSXOHm+tXZtHS7ibYYmR/tU0SLiHGOZ9f84tX9lHe3IHT4+fNvTXEhVmoa3NR1tTRfdw4qd8qRsjRMxtXLc1gemIYcWF9L1XpD7vTwx83HOLmM6byzNZy7M6Bt5Nqanfz8u5qXt5dzaykcK5cljEqSVd/SdI1AO0uLx6fn3aX95gXQ5vTS1s/XxxWk4GvLstkcWYUZ8yIZ0+ljasf2YrWkB4Twv1XLWJq/ND6XY2EV/OqKai184fLF7A4IxqtNW8fqOM/uZXU20e+/pgQYuQdvQPR59c9rq8Zg5MjIkCe2FJGWJCJ758zA6fHR5B5aGuQw4PM3LhqKv/dWTnk/p2RwWYeuiaHiCDzkK4z3CTp6odXdlfxoxf2oACX189QZvluOn0qPzhvZvfvp6RE8NA1ObR1epibGonRoKi1OamxdbKvykZhvYOqVifJkUGYjQbSY4KxO710uLvKPjQ4XNidXuJCLYQHmVGqq+BifJiV5dNi8Xj9lDV3UNzQ9Wa6LCuWOSkRA447xGxkemIYWbGh+PyaiuYO3i9oYFupjHAJIcRktCo7jjNnJvDkljLq7C5+fMGsIV/T5fXx/qH6ISf3a2bGE2QZOyNcn5q0SVdhvZ33DzVQUGen3e2j0+3D7vQQZDYSbDZ2/6nRtHV2jXB9+iIYyq7oT6vuljd3UNrYzoFa+zHXHg0L0qP4x1cXk3Kk0nx/nDOna1eI1pqbntxB3JHieBvz66TBrRBCTDIGBcunxpIQbqUtJoTLc9KH5brJkcGcPj2eF3cNfDH90V7eXU1iZBA//dzsYYlruEzKpEtrjceneedAPZuLm0b1sfdU2thTaRvVxzzegeo2tpc2dxdcDLEYyYoLxePTfTY1VUpx35WLeG5bOYfq7MxJjpBGt0IIMcn4dVcnhHs2HGJVdhxnzUrgcJ0dl9d/Qquf/jpQ08YtT+/s967/vpwxfWB150bDpEy6lFLMTo7ggauX8Oqeat47WM/moqZJs/3Z7fPzP8/t7v493GoiKtTMrz9/CmfN6rvOSZDZyPlzk3g+t5KQABajE0IIEThVrZ0kRliZlRROW6eXdw7Wc+qU3ttN9abJ4cJkMBAbauGN76zi4vs+pqhhaIlXuNVEyAj1Hh0KKRlxhMvr472D9fzspX00tbtH9bHHAovRwBVL08lOCCMjJoQzZyb0eU6D3cWtT++UdV1CCDFJrcyO5dQpMTicXoItRlKjgjlYa+fq5ZlkJwxuU9i9bxfw0PuHcQxiLX2w2cgvL57D2bMTSAgfvX6M/S0ZMfZWmQWA0+PD69NsK2mZlAkXdI1+PbG5jAfeLyIpMghbh4f6NicnS8rjw608cM0S1n/3dG5YmUVixPBsGxZCCDE+fFLYxPr9dSgF1502hQ35dazMjiN1AGuGj6a1ZntZy6ASLuhKAq9cmjGqCddAjL2xtwDwa82redXsrw7sWquxoNrm5IK/fFaYLjshjMuXpLFsaiwL06MoaWwnJtRCZHDXNtyYUAsxoRZ+efEcUqKC+O0bBwIVuhBCiADocHs5a1Yila2d3PmFuYNOuGwdHqxmA02OgQ9+BJkNhFpMfPOMaYN67NEi04tH8fj8vHOgng37a4kMMfPizipsndLi5lN/+cpCqlo6Kai3c/eX5mM9riaL0+Pj/71xgO2lzVy8IIUvLErlzxsLeGFHZYAiFkIIMdKU6mrDc/4pSfzq86cM6hr7qmzcs+EQF85N5o8bD/W7B+OpU6L52oos1syKJ9hsHNU2eUeTNkBD0NLuprjRQUSQmYI6B//8qFh26B1xzuwE5qZGUtTQzq1rpjEr6eQ1v9qcHj73l4+oau0cpQiFEEKMprXzkrl+5RTeOVg/oFpdDXYX+6tt5FXYeCWvimnxYSzLiuEvbx/uV3HU8+Yk8sDVSwLeIg+kDdCQRIdaWBLatQNjemI4n5ubRGGDg7veOsi7k7zn2NsH6kmLDuHuL83n6a1lZMaEEtzLDka/X7O5qAmTURERZOp31X4hhBDjR2p0MEkRQXzrzP5N7XW4uz4LfvnKPt7aV9t9uwIqmjv6XY3ebDKwp8rGwvSoAcccKP1aSK+UKlVK7VVK7VZK5R533w+UUlopFXeS8yOUUpVKqfuHGnAgGAyKGYnhfPusbFZP7/VpThqPbyrllP9dx+ObSrG7ep9+rbM7yYgJ4e3vn8GPPzf0SsVi7JmVFM6PL5jF/148h1lJ4YEORwgxylKjgvnaikz+uLGAUEv/xnE63D6++dTOYxIugKKGdg7W2vv92G/sqeEbT+SSX902oJgDaSAjXWu01o1H36CUSgfOA8r7OPdO4MMBxjbmLM6I5skbl3HNI1v56HBj3ydMYH4NlS2drLrrPe69chFnzUrAYjLwtce2cd6cJK5alkFyZDDJkV0LKq9amkGtzcl97xYGOHIxVGFWE+fOSeTs2QlcND+l+/arl2fyyu5qpieE8ea+Gj4saORAzfh5MxRCDNyspHDsTh9unx+X10dIPxKvAzVtfHikO8tQNdhdXHjvRzx541JWj8FiqMcb6vTin4HbgVd6O0AptQRIBNYBfc53jnUur49DA8jEJzq3z883n9pBkNnA4oxo0qKD+fnLe3licynfOnMalyxMBboK0t66JpttJc1sLZG6XuPZi7esYEbiiaNaZqOBy5akAV2tpny+fA7X2TltWiyrp8fx/PaKIRc8FEKMLVWtnfxrcyn3XbGo32ur/p07/JurNhc1TaikSwMblFIaeFBr/ZBS6hKgSmud19tuAaWUAfgjcDVwzl1S7KAAACAASURBVHAEHGhaw9mzE3l2W1+De5OL0+NnU1ETwWYjD1+Xg88PP31xL2ajgQvnJdPkcLExv05GPsa5X108p8eEqyc/v2gON50xlfgwK0oplmTGcNkDmwi3yvo+ISaKg7V20mNCBrSYvaOfa7YGIibUMuzXHAn9LY66Smu9GPgccKtS6nTgDuD/t3ff4W1X5wLHv0fLtmx5723HGc5yhrPJIIuwQgqEMMsoUMqFlsJl9ra0pZfeAi2lpZTVBWXvWSBAQyCQvUlCtu3YjvdesqRz/7DjJrGT2EbW8vt5njzR+El6dfyz/OqM9/zsFI+7EXhfa33KtFYpdb1Sar1San1FhXu6HQdCsNnIr88fw58vmyDFQHvQ0u7kjU0lOJwukiODu5KsmLAglk1K4+Fl41icl3yKZxG+JsRs5J6zRnDl9Mw+PS7eFty1hHt8WiQb/mcBW+5dyGOXTSA8WNbxCOHvzh6TxPWzsvv0mMXjkom0mt0aR72flHfqVdKltS7u/L8ceAOYDWQBW5RSB4FUYKNSKvG4h04Dbuo85iHgu0qp/zvBazyptc7XWufHxfl+F+GZY5J47LKJpEb1rwhcIHtnSwk/eG4jdS3tvLiuiF2HOxIvpRTzchMINhtQCmL85JuJgB8vGMr1s4Z8qxo4BoMiOtSCUopFoxKZPTyeeFsQadHyOySEP7IYDcwaFtvn/RYX5yVz1pgkxqZGuO3L1+Of7WfrId8v7XTKOl1KqVDAoLVu6Ly8HPil1vqDo445COQfP9H+uOe5qvOYm04VlLfrdPVFaV0Lsx9Ygd3p8nYoPsug4IIJqTy4NA+Al9cXsXJ3BdfPymbxo6u8HJ04lQnpkfzpsgldiyLcbW95Ixf8+UspRCyEH4mymvnJ2SNZnJeMxdS7QTOtdbcvbnvLGzjnj1/Q2t73v6FGg8JqNtLQ5sCgYNVdcwfsc+pU3FmnKwF4o7OhTMDzRydcPbxwPnCD1vra3gbrz5IiQnj/R6ex9PGvqGmWPxo9cWnYWFhDm8NJkMnIuWOTibKaWfzoKqZmRxMWZOLjnYO7/pkvMhkUDy3NY3Fe8oAWH8yJD2PNPfMoqW1hU2Etj3yyh8Lq5gF7PSFE/1mMBq6blUV1k538jCicLk19azvhwccOF7Y5nBiUwmw0sKmwhsdW7OtaWFPT1M6whDBuXTicnHgbr3x/Oo+t2NuthMTJzB4Wx58vn4BBKV7fWMzwxDCvJVx9IRXp3eTDrw/z/Wc3eDsMn7by9tNJj7Fy37s7aLY7mJgRzf++t0OSVR+UEx/GHWcMZ+Go42cMDBynS/PYv/eSERvKsIQw/vrFgQFZ5SSE6LvUqBDOHJ3IBRNTGRZvw2BQNLY6eOST3YxOiehaqb69uI7XNh7i3a2ltLU7WTgqkc/3VByzrY/VYuR3F+UxZ3g8b20uZkRiOHlpkdzx6pZe/c5HhJh55prJ5PlQUVSpSO9h83MT+NtVk7jlpc0yTHIC3/vHOh64cCzvbyvl9BHx7KtolITLx8wdEc+Nc4YwMSPK43uYGQ2Km+cN7br+03NG0tLu4p0tJR6NQwhxrOSIYO4+M5cJGZGEBpmY+9sVXDAhlThbED+cN5T1BTX89qNv2F5cx7+/OXYhXE97745NjaCy0c7Bqib++Ole4mxB/HZpHj87dxQlta18sffkdTCnZccQa/PPhWySdLmJ0aCYNSyO288YTlWjnYc/3u3tkHzOnvJGXl5fxE/PzqWkrpU3Nxd7OyRxlO/PzubOM0b4xD5mALZg84AsLRdC9E1JXSs/fWs77U4XS8alcPWMTN7bVsrsYfG8ubmEn765vU/Pt3p/Nav3V/PwsjwMSrGpsJb3tpZy87yhTBsSQ1FNMwVVJ55icM1pWWwtqiUixExYkH+lMTK8OAC01rQ5XGwqrOW6Z9YTG2YhzhbEuoM1TMmKZsn4FJ5fU8i24jpvh+pxC0YmkBZl5W9fHsAHT71B75b5Q7ll/jBvh9FlZ2k91/5jvWyYLoQPUQq3f34/dtkEzhqTBHRMNbj9lS28vqnnL+YWowGHy8UfL5nA2WOT3BtIP8nwohcppQg2G5k2JIY198zDbDRgMijqW9uJtHaUSVg4MoEZv/m0Xys2/NnqfVV8bC+ThMuHWIwGokMtnDcumTM8OIerN1KiQqhqajv1gUIIjxmIz+8Dlf/ZrcJoUFQ22U947F+uyichPJj0aKv7AxlgknQNsNCjuj6PJFwAq/ZVDbqEC6BBhot8yu1nDOeSyek+W83Z5dLctmA4OfFhOF2aP366hy2HBl8PsRCB7qnP93PjnP/UAgwx91yG4kfzhjI1Owazsbe13X2LJF1esjgvmZk5sew8XM8DH3zD5iLfL+omAkNKZAg/mjeUWJuFWUPjMPnwh1ek1cJ1R1W7Pm1oLC6tefarAn79r11ejEwI4U5GpfhoR1lXb/sP5uSw7VAduUnhmIyKD78uA/DrhAsk6fKqqFAL04fE8vCyEE5/aIW3wxEBICLEzP+cnQvAxsJaNhXWYHe6KK5pwaAUd505ghk5seTEh3k50v4JNhsBGJ8e5eVIhBDuVNVk545XtzIhPYo4WxDj0iJZcfvpWEwGNhTU8OHXZdiCTX772XWEJF0+ICs2lHdvPo3Wdicr91Ty6Kd7cMmcJ9EPdS3tPLu6gBevn8rS/LSu21vbnbQ5XESEuHe/M2+ZnBXNr88fw/3v76RBNs8WIiBMzOhIuI44Uul+YkYU9547klV7KympbTnmGH8jSZePGJ0SAUB+ZjQT0iO55u/rJPES/bL1UB0tdidWy39+vYPNxq5eokBxyeR0DlY18cRn+70dihDCDT7bXcHneyqYObT7/stXz8ji6hlZXojKvfx3YDSATcmK4XunZeEj5ZKEH9pUODjmCE7u40a7QgjfZTUbmZwV2L/T0tPlg0IsRn5y9kiunZnNgcom/v1NOX9fdZA2x+Bb7Sj6Z31BDfNHJng7jAGXHBmCxWTALr8bQvi9hjYHlz61hjEpESwZn0JaVAgxYf47lNgT6enyYQnhwUzNjmFxXjJjUyMYnRKOLVjyZNFdkMnAhRNTufa0LKYPiSElyvc3fnWH3KRwVt89T3qFhQgQU7OjGZcWySMf7w7Ije/lL7gfGJUcwSs3TAc6qt3Xtzq4+/Wt7DrcgMulcWkC8uQUvTMlK5o7Fg1nYkZgd8ufyK7Sepn/KISfu3PRCC6YkEJsWBAGg2LJ+BRvhzQgJOnyM0opIkLMPHbZRNocTswGA/Wt7ZQ3tFHX0s5lT63B7nR1HjswlYOF75gzPI5HL53gd/uPudOkrGh+fu5Ifv7ODm+HIoToh+EJNm6Ynd1VGDWQDd5P6gAQZOpYjRZptRBpteB0aSZmRFHe0MrwRBs3zsmhuslOWX0rD374DeUNbdiCTIRYjERazTTbnURZLVgtRnaXNVDT3O7ldyT6asPBGt7fWkpqdAiTMqP9umhgf5mNBublJvDrf+2SeY9C+KF7zs4dFAkXSNIVUIwGxd+unkSw2UhNk50NBTU0tLWjNXx19zwa2xyYjaqrlEBlYxubCmvJS4ugvsXBXa9tZX1BjZffheiLhjYHd7y2FYA4WxCLRiVy3cxsEiOCu2rcBKJ2p4uWdifhwWb+vaucT3aV0e6UhEsIf5MSGUJ+xuApdixJV4A5Uovpg68Pc/fr2wAYlhDGiCQbLXYnDpemqc2BS2tGJkWQEx/GgYombnphE3Ut0tPlzyoa2nh2dQHPri4gNSqE03Ji+b8Lxno7rAHx+Ip9PLlyP5/feTo7Suv55+pCb4ckhFckRQQTabWws7Te26H0WU58GL+7KO+YPYoD3eB5p4PM2gPVXZd3lzWy+NFV3Y6xWow4nBoUsuQ+wIQFmVicl+ztMAbMoZoWGu0Oxt+3nGBTYBV9FaI3lILz8pL5zYVjufzpNd4Op89mDYvj8csnHFPEeTAI3PGHQa43w+PNdid2p0sSrgC0ND8No0Hx6oZD/PGTPZTXt3o7JLf6zYVjWXvPfOaNSKCl3entcITwOK3h2pnZbCyoZd1B/5kWMiwhjGX5aTx22eBLuEB6ugJWU1vg7kcXHmyisc2BS3fMY3O6NOnRVsrqW2UidadfvbfjmJWr+yub+MV5owgPDoy9F6FjDtvdZ43gnLFJHO5cLBIdaiElMoTNRYOjIr8YnMKCTFw9I5NRyeGsOWpUwxeFWow02Tu+GJ2bl8wfLh43aCbN90SSrgB1/3fG0O7UrNxdgcPPihhZTAayYkIJthgpr2/FYjJQUNVRhyzKaiYjJhSlOra6+d1FeWwvrmNHaX1XrbKE8CDKG9oGdbmM49/7G5uKOWdsEvNyA6tK/ZC4MIbEheFyaa6ZkYXF1FFC5YEPdvHxjnIOB1gPnxBKwcPLxrGgc8eJcWmR5KVGsOVQnVdjmpAexYbjFmJlxFj57dI8nv78ALZgE/ecNXhWKZ6IDC8GqJiwIP561STOGZvk7VD6zO5wkR0XSnFNCyOTwrE7XJw/IYWUyBD+cuUkDAoWjUrk09tmM31ILEXVLVQ22PnJWbk8cMFYoqwWtAZbsCmgV/D11V2vb+MvXxygqrHN26G4ncGgun7W4cFmfrVkjOzeIAJOWnQIt58xnAUjE/j7qgN8sL2UNzcVd/UkeYPJoHjp+mk8f90U/nb1JEYk2gi1dMyzLKhq5omV+3n8iok8uDSPqFCL1+L0FfKpFOBa2/1ruM1oUJw/PoWRyeEsGp3IrsMNJEQEMyQujP9dMoZgs4HfXTQOh8tFdlwYADfNzeFf20v5aMdh1h2s4f0fzsQWbOKrfVX8acXerl6ywa6upZ2VuyuYnBkdcPuZ9cTfeniFOJU/XzYRW7CJBz7YRXZcGPe8sZ3qJnufnsNkUMzPTWBEko0gkxGrxUhsWBD/+PIgDW0OKhvbGJFoo9nuJCs2lIbWdjYU1FJ5gi9rDpfmumfW88lts6lrbueF66ZSUtfC2X/4ArNRcfPcHHe89YAhSVeAmz08jg++PuztMHrN6dK8suEQbICYUAtXTMtgQW4Co1MiMBsVSikyY0OPeczolAiqm+yEWkycPSYJi0nx1uZiDlQ209Qmk6wBzhiVwL3njiI5cnDsyQgwPzeepz4/4O0whHCbJX9a1fVlwhZk4lffGc2PXtzcdb9SkBwRQmyYhZiwIILNBnaU1JMdF8bY1IjOUQDNVTOyuj33vNx4gjp7i48fAiypbWFbcR23v7KF+tbu84XrWtrZfbiha+ueNoeLm+fmsDgvmaEJNre9/0AgSVeAyz4uQfEnVU12fv/xHqBjE9QnrsgnIqTn4cKs2FBW7a3k9U3FpEZZeX/bYXb4Yd2agbLuYA2/+WAX156WzZjUCG+H4xF3n5lLVZOd1zcWezsUIdzi6N7b+SMTWJyXzIycWA5UNhFqMZEVG0qIpX8lVI7UeOxJcmQIyZEhVDfZufftr7uteJ87Ip7Ko3rcEiOCuW3h8H7FEehkwkuAC5SCp1dNz6K4poWNhTXo42aJrz1QzdV/X8ee8kb+cPE4JmVF8+z3JjM/N4Gc+LBjjjUbB+ckzuomO+9tLR1UE8sNBsWP5w/zdhhCuE2oxciSccm8ceN0Hl7WsQowNiyISZnRjEwO73fC1VvTsqOZPiTmmLmy6dFWHrl4XEDXBXQn6ekKcIEyr+WGf24AIDE8mDNGJXDFtExy4sN45quD7Cyt57/m5DAlKwqjsWNDcICnr8ynusnOZ7vLGZMSwaOf7gXgy31VVDQOvtWNRoMi5CTfZgNRYkQwp+XE8sXeSm+HIkS/ZcWGcu3MLJaMS/Fq9fbM2DD+cuUkfvDPDSzfWcb83ARumT8UWwCVohlo6vheA1+Qn5+v169f7+0wAkJ9aztL//wV35Q1eDsUt8uJD6O4pqWrOOaUrGjWHqxmYnoUL39/GgbDsb1aRyacBpsNFFY3s7Gglk92lvHJrnKPxz5QFo1K5EBlU48/75TIEH53UR5TsmO8EJn3vL2lhLc2FVPe0Ma2Yu8tqxeir7JiQ7l1wTDOGpOE0eA7vfT7KxqpbLQzOSva26H4DKXUBq11/qmO61XKrJQ6CDQATsBx9BMrpW4DHgLitNaVxz1uHPBnILzzsf+rtX6pt29CfHvbD9VR1cfVLf5ib3njMdfXHKhGKbA7XTz+2T4qGtu4cGIqo5I75jBFdy5Xrmps4++rDrJydwUldYEz3HbJ5DTu/84Y1hfUsP5gDZ/sLCMq1MKE9ChGp4STmxRO7CBYtXi8xXnJLM5LRmvNsidWs/agbxeTFCLOFsRtC4Zx4cRUTEbfmwWUHRdGdpy3o/BPfemnPL2HpCoNWAicaLfZZuC7Wus9SqlkYINS6kOttZSL9pBpQ2L4xzWTeHtzCa9sONTn5cX+Jt4WxJiUCKwWE9OH2Bgab2Pl7gpW7q6gud3JnYtGoIEp2dF8ua/K2+H2y9wR8SyblEZRdTObimqJCwvirDFJjE+PRCnFpMxoJmVG84M5Q7wdqk9RSpEVG8q24jrZOkj4rCXjkvnFeaO7pkmIwPJtB4cfBu4A3urpTq317qMulyilyoE4QJIuD1FKMSo5glHJEdy2cDif7irj/W2H+fc35TQctfTXoGBUcgRBJgNGg0IDeakRHK7vqM3SYncwISOKzJhQnl9TeNI5MpkxVqoa7TS0OchNCmenB1cRltW38dyaQoYlhDE03sbU7GhCLEaa7B2xlNW38j9vbqet3cmY1AgO17Vid3asxLEFmWjw4e2TQi1G5o9M4JGLx3s7FL/1mwvHMn9kAst3HObtLSV+V8dOBLbFecldE+RFYOpt0qWBj5RSGnhCa/2kUuo8oFhrvaU3J4hSajJgAfb1O1rxrVhMBhaNTmLR6CTanS7WHajm/e2lrDtQw72LRzJ9SGyvnmdGTizvbi3BbDCQEhXC/somgk0GLCYDre1Ozp+QitOlO4a4dpV5NOk6YndZI2lRVm58biMtdic/XjCU3MRwzn10FdOGxHDWmEQ+31OJ3eki2GxgQnoUjW0OtnpxK40TmTk0ll8tGU1alFX2lnSDBSMTWDAygRtmD+Hu17f5/N51YvDIz4yShCvA9WoivVIqRWtdrJSKB5YDNwMPAgu11nWdc77yjx9+POrxScAK4Eqt9eoTHHM9cD1Aenr6xIKCgn68HeFrPt9TwY3/3Oi1HqSrZ2Ryzthk3ttaSnVTG5dPzSDSauGxFXt5fWMxt58xnDc3FbPnuPlhvmTWsDgKq5rIibfxi/NGkTKICpwOtIbWdr4uqSfUYqKwupnWdicPfvjNCUtrRFnNPHBhHhMzoiipbaHN4eKSp1Z3q1skRH8Emw3cc1YuV0zNkOTLz/R2In2fVy8qpX5Ox6T4m+mYswWQCpQAk7XWh487PpyOhOt+rfWrvXkNWb0YONqdLj76uoybXtjolRINQSYD509IodnuZFRyOO1OzdUzMnFp+GD7YcKCTNz37g6Ka1s8H9wpxIRauG/JaOJsQRyobCLaamH+yMDasNoX7Sip5+w/ft7j+fqLxaO4cnrmMbcVVTdTXNtCQ6uDTYU11DS388LaE01zFeLUvj8rm7vOHCGJlx9xW9KllAoFDFrrhs7Ly4Ffaq0/OOqYg/TQ06WUsgD/At7RWv++t8FL0hVY2p0uTn9oBYdqWrhxzhAcLs1rGw55bVVlWnQIf796MtuL69hUWEt+RhRvbCpm1b5Kn5rjE2k1s+rOuV6tyzNYvbC2kLtf30ZGjJXKhjaa7E4ev3wCi0afegN5h9PFTc9v8qvtt4Tv+cc1k5k9TJYI+gt3loxIAN7ozLhNwPNHJ1w9vHA+cIPW+lrgImAWEKOUuqrzkKu01ptP9HgReMxGA/ctGU1ZXSvLJqWhlGJxXjL3vLHNK3Ooiqpb+O9XtnDz3KEMiQ/DpTUzcmLZVFRLa7vvrO4MMhlwOH2vjt5g8J3xKbS1O1kyPoUmu5M3NxUzZ3h8rx5rMhp4/IqJvL+tlAc//Iay+laa7bJaUvTNu1tKJOkKQFIcVXhNa7uTX7yzg1fWF3m8cn6k1czE9ChmDYvjL18c4LYFw/j7VwfZVOg7C2utFiNXTs/kjjOGyzCDH3tlfRG3v7rV22EIP5MaFcIXd871dhiilwZsTpcnSNI1uJTVt/LOlhKeXV1AQVXzqR/gBtfMyOqspqxxODUuYExKBA8v383bW0q6HT99SExXrJFWCxsKatwSh0HBsknp2B0u3t1a0uPqxIwYK6flxPKTs3OxWmSo0R+9tK6QO1/b5u0wBoRSHb3ZspjAveJsQay5e163nTWEb3JrRXohBlJCeDDXzsxmRk4sZz7y+YC+1pH9B9/bVkJiRBD/+LKAmUNjaW138sRn+xgaH4bFaMDudJEZY8UWbEaj2V3WSGVjR82yzBjNjXOGsHp/FRv70TOWFh3CIxePp7nNSWJEcNem3LlJNn713s6u42xBJm6YM4QLJqSSGBHsngYQXrE4L4X73t1Jow/XgesvrSEixExFQ5u3Qwk4Lq0xIElXIJGkS/iMmDDLgL/G2NQIFo5MZF9FI42tHQVT95Q3smhUIjnxYUzKjGbJuBSe+mI/be0uwkNMtDs1UVYLbQ4raw/UcLCqmcdW7GN+bjyZMVYO9qF3bmJGFH+9chIR1mOrTdc1t/PIx3uOuc0aZGREok0SrgAQYjEyJSs6oPb5PJp0xrjfeXnJPrkFkPh2JOkSPsMWZCbSaqa2uX3AXmNXaQMzh8YRbwsiPjyYubkJVDS08emucl5eX4TFaOC5a6dw1fQsDte3cv74FNYdrMbh1MwdEc+UX3/CxZPSWHewmoZWBwXVvU+4pmRF8/uLx3VLuAAa7Y5utcya25xdvWvC/31vZlbAJl0VDW3kxId12w9V9N/49ChvhyAGgCRdwmeEWIysvnse72wp4YmV+wfkA/zyqenE2YIoqW3hxXWF2Laa2VBY0zUf5ddLxzAh49gPuyOr1v7x5UEqGtp4Zf0hLp6cxq7SBiZnRlNS18LCkYlsKapl/XFzvYwGRX5GFAtGJnDJ5PRu5R9eWFvI4bpW3tnafR7ZglEJXDAh1Z1vX3hRTdPAfZnwNpfu2IA+Nymc3CQbr28s9nZIfi0vLZIzRyd6OwwxACTpEj4l2GxkaX4a83ITuOf1bZTWt7KztB67w0VieDDVzXYU9Hs7nKc+P9DttkirmSlZ0Zw7Npkl41O63f/h14f5/cd72FPWQEpkCEPiw9heXIfVYqLN4SI5IoRth+poaHVgUB1/gI4IMhkYk9IxpHl8wmV3uFi9v4ov9lR2q1kWbwvi/u+MkeGFAOByaX63fDePrdjr7VAG3M7Seq6YmoFBKV7dcMjb4filOFsQjywbJxPoA5QkXcInRYdaePyKiQA0tjmoabKTFm3F5dLc/OIm3tta6rbXeun6aQxPtJ3w/vL6Vh5aOpaRSeFdpRs++vowzXYn+ZlRpEZZeWtzMbe+vIU4WxBtDlfXEGmz3cnTXxygrqWdq2ZkUtVoZ1Zn7R2LycAjF4/H5dKsL6jhoie+6nrNsCATZkm4AoLDpXlpfREeroriNQ98uIsPb5nF9uI6dh1u8HY4fue+80aRGRvq7TDEAJGkS/i8sCATYZ29RAaDYtbQWGqb7azaW9Xt2PyMKG5dMIx2l+am5zfS2OY46fZD352WQbwt6KSvf8W0zG63LRzV0fX/3JoCXttwiOLaFhbkJtBkd/S4gfIrGw7x2sZDxNuCufusEYxOieBf20ppd2rmDI/jjle3AJAYHswvzhvFwpEJUpsrAGitaXU4B9VE89rmdm55cTM/OTuX655Z71O7PPi60Snhvdr1QPgvSbqE31k2KZ3Zw+J54MNd2IJMvLrhEHlpkVwwIZWMGCv5mdEArPvJfMxGA4dqmnns3/s4UNXEpsIa2jurvFuMBs7NSyYqtO+rJtudLm59eQvvbClhcV4yr9wwHWPnX9bP91Twy3d2dNtE26XhcH0rBVXNzMtNYOWeStYeqOaRTzpWLQaZDLx10wwSwmW1YqC4/tkNfLKzbND0ch3x1f4qpmbHcO+5o7j79cCsTzYQCqqa2VRYI5PoA5gURxV+r6qxja2H6jh9xKm3adlb3kBJbSv7KxrJz4xmdEpEv16zqLqZhz76hv86PYdhCd2HJlvsTm5/dQvvbi0lxGzke6dlER5i4v73dwFgCzbx6/PH8MxXBWwvrmPuiHgmZUazbFIawWZjv2ISvuOHL2yitd2Jw6X5NEBXLPbGqzdM48mV+/loR5m3Q/ELFqOBP1wynkUyid7vSEV6Ibzsg+2l7KtoIiPGyjljkymqbubiJ1eTlxbBotFJnDs2CaUUDqdLJswHmJ+8sY3n1hR6OwyvswWZ+PGCYbywtrBbz6/o7tFLx3PO2GRvhyH6QSrSC+Flx8/NSIu2svzWWd228pGEK/DctnA4K76poLi2xduhuNX3Z2ezdGIqr24o5vThcZiMBl5cW8grJ1ip2Gh38MxXB3n8iolUNtjZUVrHi2uL2F/Z5NnA/YDZqLp2pxCBS5IuITxI9k4cHKJDLbz3w9M499EvKKoOnMSrrd1FTryNu84c0XXbuLRITEbFC2uLjjn21gXD+O60DCKtnXMmE+G0obGcMzaZW17czNqD3RecDGb/dXoOIxLDvR2GGGDyF0AIIQZApNXCE5fnc+HjX9Jsd3o7HLdYe6CadqfrmHImRoOisvHYOnPRoRYun3pUwnWU5MgQXvr+VNYX1PDyuiK+3FdFkMnArGFxDE0Io7y+jehQC4frWwF4eV0REVYzxTUt/a7P58tyk8K5YmoGl05J93YowgMk6RJCCDf76xcHyEuLZGdpPQ6n782b7a+SuhaKqpvJjjt2GCw30UZpXQt7yhoJsRj506UTiD7JqmClFJMyo5mUGU1Tm4Ngs7Fr9e/x7lzU0avW0NrOv7Yd5pfv7giIaio+bgAAClxJREFUjcMnZkSxdGIqyyalSXmYQUSSLiGEcLNdh+u5//2dOAKsVkRtc3uPCcKtC4dz68LhtNidHKppZmgPK3pP5PidGk7EFmzmoklpvLrxEGt7qIXnLyZnRfPTs0cyJrV/K6eFf5MZvEII4WaXTckI2G1cyjqH/XoSYjH2KeHqj2EJ/jnZfNawON64cTovXT9VEq5BTHq6hBDCzaqb7V2bqHuLxWTAYjS4fShub3kjU7Nj3PqcfXHvuaPYVFjL1yX1Xouht5SCSyenc+mUdEYlS6IlJOkSQgi3Ka9v5Q+f7mFbsfcTgh/NG8plU9J5fWMxX+6rZGdpA20OF5WNbf1+zmCzod8Fhd3FbDRw/3fGsLGwhr+uOuDTq0PvO280l0/N8HYYwodI0iWEEG4SHx5McmQI/1zt3cKoVouRrYdqibSauXRKOlfPyMTp0hRUN3P502sorTvxEOHxLpyYyqJRiSRGBJMWbSUixDyAkfdOXlokeWmRXD41gyc+28cLa4sorWvBFmymrqW967gQs5HQIGO31ZWeMCMnhtmdm9sLcYQkXUII4UZXT8+iodVBeX0bK/dUUNHQ/56l/rhkcjo3zhlCWrT1mNtNRsWQuDDOG5fC45/tAzp6rmJCg3BpzfzcBGLCLNQ2t1Nc28LhulaUgl8tGe2zW1OZjQZumjuUG+fkYHe6CDIZ2HKojuU7DjN3RAKjU8IJMhlZf7CaFd9U0Gx3UlbfytjUCJ76/MC36vU7Ispqpqa5I9GLswUxOSuaBFswV03P7PYzEEK2ARJCiAHy5d5KLn16Ta+OvSg/lcpGO9uK606YqEVazdx+xnBm5sTxzFcHeWl9EQ2tDv574TCumJYJGiKsJ++JarE7eW5NAeEhZmYOjSXKasFsNHQr2eB0adoczoAt6FtU3cy/vynn529/3e8NyTNirFwzI4uRyeHEhFpIj7bKDhODlOy9KIQQXqa15sV1Rfzsre20n6Re1zUzsvjZuSOBjqRod1kDL6wtZH9FE2UNrUzOjCY7LoyrZ2Qe0+tU0dDGmgNVTMqMJiE8eMDfTyBxujRGg+LjHWXc8M8NfSrvYTEZ+O+Fw7hmRpYkWQKQvReFEMLrlFIsnZjKgcomnly5v9v9sWFBDEsIIyz4Px/FIRZj15ylU4mzBckGyX3kcLq49Kk17K9sIic+lOSIEKJDLZT3chjYoOChpXkszpN2F30nSZcQQgwgk9HAPWflcsv8odz43Eb2VzRx5phEYkItZMeGMX9kgrdDHDRqmuz85oNdrCuoRmuOmdOlFJxq4CczxsqNc3Ik4RL9JsOLQgjhIY1tDoxKEWLxzYnpg0VDazt7yhv5/cd7WLm74qTHZsWGMj83nsV5KYxOCZcte0SPZHhRCCF8TFgvt7wRA8sWbGZCehRPXjGR33ywC4vJQHl9Gx/vKKOhzUFYkInzJ6RwUX6a1+uSicAinwBCCCEGpWCzkXvPHdV1/dUNh1izv4q7zhxBTFiQFyMTgapXyy6UUgeVUtuUUpuVUuuPu+82pZRWSsWe4LFXKqX2dP670h1BCyGEEO524cRUHlyaJwmXGDB96ek6XWtdefQNSqk0YCHQY/llpVQ0cC+QD2hgg1Lqba11TT/jFUIIIYTwS9+2wMjDwB10JFQ9OQNYrrWu7ky0lgOLvuVrCiGEEEL4nd4mXRr4SCm1QSl1PYBS6jygWGu95SSPSwGKjrp+qPM2IYQQQohBpbfDi6dprYuVUvHAcqXULuAeOoYW3aIzmbseID093V1PK4QQQgjhE3rV06W1Lu78vxx4A5gNZAFblFIHgVRgo1Iq8biHFgNpR11P7bytp9d4Umudr7XOj4uTndmFEEIIEVhOmXQppUKVUrYjl+no3VqntY7XWmdqrTPpGDacoLU+fNzDPwQWKqWilFJRnY/90K3vQAghhBDCD/RmeDEBeKOzCq8JeF5r/cGJDlZK5QM3aK2v1VpXK6XuA9Z13v1LrXX1tw1aCCGEEMLfyDZAQgghhBDfQm+3Afq2JSOEEEIIIUQvSNIlhBBCCOEBknQJIYQQQniAT87pUkpVAAXejsMDYoHKUx4l3EXa2/OkzT1L2tuzpL09z1fbPENrfcp6Vz6ZdA0WSqn1vZl4J9xD2tvzpM09S9rbs6S9Pc/f21yGF4UQQgghPECSLiGEEEIID5Cky7ue9HYAg4y0t+dJm3uWtLdnSXt7nl+3uczpEkIIIYTwAOnpEkIIIYTwAEm6PEgpNU4ptVoptVkptV4pNfkEx12plNrT+e9KT8cZKJRSL3W29Wal1EGl1OYTHHdQKbXtyM/F03EGkj60+SKl1DdKqb1Kqbs8HWcgUUrdrJTapZT6Win1wAmOkXPcTXrZ3nJ+u4lS6udKqeKjPlfOOsFxfnGO92bDa+E+DwC/0Fr/q/PEeQCYc/QBSqlo4F4gH9DABqXU21rrGk8H6++01suOXFZK/RaoO8nhp2utfbH2i1/pTZsrpYzAn4AFwCFgXec5vsNjgQYIpdTpwHlAnta6TSkVf5LD5Rz/lnrT3nJ+D4iHtdYP9eI4nz/HpafLszQQ3nk5Aijp4ZgzgOVa6+rORGs5sMhD8QUkpZQCLgJe8HYsg8Up2nwysFdrvV9rbQdepOMPmei7HwD/p7VuA9Bal3s5nkDXm/aW81uckCRdnnUL8KBSqgh4CLi7h2NSgKKjrh/qvE3030ygTGu95wT3a+AjpdQGpdT1HowrkJ2szeUcd59hwEyl1Bql1GdKqUknOE7OcffoTXvL+e1+Nymltiql/qqUijrBMX5xjsvwopsppT4GEnu46yfAPODHWuvXlFIXAX8B5nsyvkBzsvbWWr/VefkSTt7LdZrWurhzqGC5UmqX1nqlu2MNFG5qc9FLp/hMMQHRwFRgEvCyUipbd1+WLud4L7mpvUUfnKLN/wzcR0dSdR/wW+CaHo71i3Ncki4301qfMIlSSj0D/Kjz6ivA0z0cVsyx87xSgRVuCi/gnKy9AZRSJuB8YOJJnqO48/9ypdQbdAwP+Nwvq69wQ5sXA2lHXU/tvE304BSfKT8AXu/8o79WKeWiY2+6iuOeQ87xXnJDe8v53Uen+kw5Qin1FPDuCZ7DL85xGV70rBJgdufluUBPQy8fAguVUlGd3agLO28T/TMf2KW1PtTTnUqpUKWU7chlOtp7uwfjC0QnbXNgHTBUKZWllLIAFwNveyy6wPImcDqAUmoYYOG4zYDlHHerU7Y3cn67lVIq6air36GHc9efznFJujzrOuC3SqktwP3A9QBKqXyl1NMAWutqOrpQ13X++2XnbaJ/Lua4YS6lVLJS6v3OqwnAF50/k7XAe1rrDzwcY6A5aZtrrR3ATXR8mdgJvKy1/trjUQaGvwLZSqntdEzYvlJrreUcHzCnbG85v93ugc5SEFvpSHh/DP77OS4V6YUQQgghPEB6uoQQQgghPECSLiGEEEIID5CkSwghhBDCAyTpEkIIIYTwAEm6hBBCCCE8QJIuIYQQQggPkKRLCCGEEMIDJOkSQgghhPCA/wfbwadnLDIBcQAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "base_map=gp.GeoDataFrame.from_file(\"OSNI_Open_Data_Largescale_Boundaries__NI_Outline.shp\")\n", "base_map.plot(figsize=graph_figsize)" ] }, { "cell_type": "code", "execution_count": 71, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:41.455408Z", "start_time": "2018-06-07T12:08:40.839909Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 71, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "f,ax = plt.subplots(figsize=graph_figsize)\n", "base_map.plot(ax=ax, color='gray')\n", "gdf.dropna().plot(column='rating',ax=ax, alpha=0.5, legend=True, cmap='RdYlGn')" ] }, { "cell_type": "code", "execution_count": 72, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:41.470097Z", "start_time": "2018-06-07T12:08:41.458646Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
latitudelongitude
min54.526609-6.741936
max54.677225-5.813576
\n", "
" ], "text/plain": [ " latitude longitude\n", "min 54.526609 -6.741936\n", "max 54.677225 -5.813576" ] }, "execution_count": 72, "metadata": {}, "output_type": "execute_result" } ], "source": [ "min_max = df[['latitude','longitude']].agg(['min','max'])\n", "min_max" ] }, { "cell_type": "code", "execution_count": 73, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:42.157818Z", "start_time": "2018-06-07T12:08:41.472793Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "(54.52660878238531, 54.67722468503716)" ] }, "execution_count": 73, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "f,ax = plt.subplots(figsize=graph_figsize)\n", "base_map.plot(ax=ax, color='gray')\n", "gdf.dropna().plot(column='rating',ax=ax, alpha=0.5, legend=True, cmap='RdYlGn')\n", "ax.set_xlim(min_max['longitude'].values)\n", "ax.set_ylim(min_max['latitude'].values)" ] }, { "cell_type": "code", "execution_count": 74, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:42.768561Z", "start_time": "2018-06-07T12:08:42.159858Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "f,ax = plt.subplots(figsize=graph_figsize)\n", "base_map.plot(ax=ax, color='gray')\n", "gdf.dropna().plot(column='rating',ax=ax, alpha=0.5, legend=True, cmap='RdYlGn')\n", "ax.set_xlim(min_max['longitude'].values)\n", "ax.set_ylim(min_max['latitude'].values)\n", "ax.set_aspect('equal')" ] }, { "cell_type": "code", "execution_count": 75, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:42.781079Z", "start_time": "2018-06-07T12:08:42.770443Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
latitudelongitude
0.0154.550063-6.026184
0.9954.644132-5.840460
\n", "
" ], "text/plain": [ " latitude longitude\n", "0.01 54.550063 -6.026184\n", "0.99 54.644132 -5.840460" ] }, "execution_count": 75, "metadata": {}, "output_type": "execute_result" } ], "source": [ "percentiles = df[['latitude','longitude']].quantile([0.01,0.99])\n", "percentiles" ] }, { "cell_type": "code", "execution_count": 76, "metadata": { "ExecuteTime": { "end_time": "2018-06-07T12:08:43.482256Z", "start_time": "2018-06-07T12:08:42.782857Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "f,ax = plt.subplots(figsize=graph_figsize)\n", "base_map.plot(ax=ax, color='gray')\n", "gdf.dropna().plot(column='rating',ax=ax, alpha=0.5, legend=True, cmap='RdYlGn')\n", "ax.set_xlim(percentiles['longitude'].values)\n", "ax.set_ylim(percentiles['latitude'].values)\n", "ax.set_aspect('equal')\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# Challenges / Remainder of Workshop / \"Homework\"\n", "* Find out what the outlier location was using whatever method you like\n", "* Look through [OpenDataNI](https://www.opendatani.gov.uk/dataset) Datasets\n", "* Pick one to analyse\n", "* (If it's crap, pick another one)\n", "* Make One Graph that combines two measurements (i.e. position + rating as before, or rating + last-inspection)\n", "* Check out the [dataset suggestions currently open](https://www.opendatani.gov.uk/datarequest?state=open)\n", "* Find one you would be interested in analysing, and comment on what you think you could do with it or how you would combine it with other datasets\n", "\n", "**Bonus Round**\n", "If there's something you think government *has* that you *want* and haven't *seen*, request it." ] } ], "metadata": { "anaconda-cloud": {}, "celltoolbar": "Slideshow", "kernelspec": { "display_name": "Python [conda root]", "language": "python", "name": "conda-root-py" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.4" }, "latex_envs": { "bibliofile": "biblio.bib", "cite_by": "apalike", "current_citInitial": 1, "eqLabelWithNumbers": true, "eqNumInitial": 0 }, "nav_menu": {}, "toc": { "base_numbering": 1, "nav_menu": {}, "number_sections": true, "sideBar": true, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": false, "toc_position": {}, "toc_section_display": "block", "toc_window_display": false } }, "nbformat": 4, "nbformat_minor": 2 }