{ "cells": [ { "cell_type": "code", "execution_count": 152, "metadata": { "ExecuteTime": { "end_time": "2018-10-16T15:30:25.141781Z", "start_time": "2018-10-16T15:30:25.057558Z" }, "init_cell": true, "slideshow": { "slide_type": "skip" } }, "outputs": [ { "data": { "text/html": [ " \n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%%HTML\n", " " ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "ExecuteTime": { "end_time": "2018-10-16T15:30:27.656205Z", "start_time": "2018-10-16T15:30:25.144904Z" }, "init_cell": true, "slideshow": { "slide_type": "skip" } }, "outputs": [ { "data": { "text/html": [ "" ], "text/vnd.plotly.v1+html": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from IPython.display import Image\n", "\n", "import warnings\n", "warnings.filterwarnings(\"ignore\", category=DeprecationWarning) \n", "warnings.filterwarnings(\"ignore\", category=FutureWarning)\n", "\n", "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", "plt.rcParams.update({'figure.figsize': graph_figsize})\n", "\n", "%matplotlib nbagg\n", " # Jupyter Magics!\n", "import geopandas as gp\n", "import urllib.request\n", "import zipfile\n", "from pathlib import Path\n", "import pandas as pd\n", "import numpy as np\n", "import seaborn as sns\n", " \n", "import moviepy.editor as mpy\n", "import moviepy.video as mpyv\n", "\n", "import plotly.plotly as py\n", "from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot\n", "import plotly.graph_objs as go\n", "from datetime import datetime\n", "import cufflinks\n", "init_notebook_mode(connected=False)\n", "pd.Series([0,1,2,3,4,5]).iplot()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# Idiots Guide to (Open) Data Science\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", "* Machine Learning Team Lead at [WhiteHatSec](https://www.whitehatsec.com) \n", " * **We're hiring** (Placements also available)\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)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## What is Data Science?\n", "* \"Deriving actionable business and operational insights from multi-modal data sources\"" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "* AKA: \"Turning Numbers into Other Numbers, and occasionally pretty graphs\"\n", "\n", "![](img/decline.png)" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-10-12T11:41:43.479562Z", "start_time": "2018-10-12T11:41:43.351616Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "## Data Science in Northern Ireland\n", "![](img/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", "* [**WhiteHat Security**😜](https://www.whitehatsec.com)\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/)\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", "* [Code4Good](https://wedonthaveasiteyet.lol)\n", "* [DoF Open Data Advisory Board]()\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### NI Data Science on the world stage\n", "\n", "* [Big Data Belfast Conference](http://www.bigdatabelfast.com/)\n", "* [ODCamp](http://odcamp.co.uk/)\n", "* [TIMON Hackathon](https://www.eventbrite.co.uk/e/timon-open-transport-hackathon-tickets-40149226417#)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# What is Open Data?\n", "\n", "> Open data and content can be freely used, modified, and shared by anyone for any purpose - [The Open Definition](https://opendefinition.org/)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "> Open data is the idea that some data should be freely available to everyone to use and republish as they wish, without restrictions from copyright, patents or other mechanisms of control. - [Wikipedia](https://en.wikipedia.org/wiki/Open_data)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "> Open data is data that’s available to everyone to access, use and share. Yep, even your nan.- [The Open Data Institute](https://theodi.org/article/what-is-open-data-and-why-should-we-care/)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## Key Principles of Open Data\n", "\n", "* Open\n", "* Accessible\n", "* Available\n", "* Understandable\n", "* Traceable" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## What's the point?\n", "\n", "(Following slides stolen shamelessly but with attribution from [The ODI](https://theodi.org/article/what-is-open-data-and-why-should-we-care/), because they're awesome\n", "\n", "![](img/odi_perm.png)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "\n", "### Open data should be easy to access. Especially for your nan.\n", "\n", "> Open data is only useful if it’s shared in ways that people can actually understand. **It needs to be shared in a standardised format and easily traced back to where it came from.**\n", "\n", "![](img/homer.webp)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Open data isn’t the same as big data, but big data can be open data too\n", "\n", "> When people talk about ‘big data’ they mean a lot of data. Obviously. But ‘big data’, like government statistics on health care, is often closed to the public (or expensive to access, like the terrifyingly-named TWITTER FIREHOSE). **Opening up big data lets people use it to spot trends, fill gaps and improve services.**\n", "\n", "![](img/data.jpg)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Oh, and it’s also not the same as ‘shared data’\n", "\n", "> If you’re worried about big companies being fed all your private details, that’s got nothing to do with open data. Groups sharing information with each other is different from opening it up for all to access. **Your private data should only be open if you choose to share it.** (But if you want to know who’s accessing or sharing your data, open data can help.)\n", "\n", "![](img/rugrats.gif)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Open data is good for democracy\n", "\n", ">If citizens know about their governments they can hold leaders to account, make more informed decisions and demand better services. **Open data can also help governments stay on their toes and make better policies for society, the economy and the environment.**\n", "\n", "![](img/vote.webp)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Open data can help fight crime\n", "> It’s helped people in London to track [stolen bikes](https://www.nesta.org.uk/blog/check-that-bike-wins-crime-justice-open-data-challenge/) and police in [Vancouver](http://www.cbc.ca/bc/features/vancouver-property-crime-map/) to stay one step ahead of criminals.\n", "\n", "![](img/superman.webp)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Open data is good for your health\n", "\n", "> With tools like [FoodTradeMenu](https://www.socialtech.org.uk/projects/food-trade-menu/) using it to help restaurants make sure they don’t serve you food you’re allergic to without realising.\n", "\n", "![](img/sneeze.webp)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Open data can save lives\n", "\n", "> It helps groups to [coordinate aid delivery in humanitarian disasters](https://www.sciencedirect.com/science/article/pii/S0740624X13000737).\n", "\n", "![](img/aid.jpg)" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-06-06T12:27:18.979249Z", "start_time": "2018-06-06T12:27:18.973500Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "### Open data helps you get around your city, and saves you money\n", "\n", "> Apps like [CityMapper](https://citymapper.com) use open data from groups like Transport for London to help you find the quickest and cheapest way to get from A to B. Even maps can be open, like OpenStreetMap, which powers map data for websites and humanitarian crises relief around the world.\n", "\n", "![](img/dr.webp)\n", "\n", "
__No, NI isn't on CityMapper, woooooooo__
" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-06-06T12:29:49.439848Z", "start_time": "2018-06-06T12:29:49.421372Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "### Open data is actually really pretty\n", "\n", "> [Look](https://nats.aero/blog/2014/03/europe-24-air-traffic-data-visualisation/) what happened when NATS used UK radar and European flight plan data to visualise air traffic on a typical summer’s day in 2013.\n", "\n", "![https://nats.aero/blog/2014/03/europe-24-air-traffic-data-visualisation/](img/nats.jpg)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## Scales of Data Openness\n", "\n", "This is a complex area, if you care, google for [\"5 star data\"](http://5stardata.info/en/)\n", "\n", "TL;DR \n", "![](img/stars.png)" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-06-06T12:35:11.268170Z", "start_time": "2018-06-06T12:35:11.128083Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "### And how shit is NI? Cus we're shit at everything right?\n", "\n", "![https://index.okfn.org/place/nir/](img/nidata.png)\n" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-06-06T12:36:49.933775Z", "start_time": "2018-06-06T12:36:49.804753Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "### NOTBAD.JPG\n", "\n", "![](img/notbad.png)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "# What is Data Driven Journalism?\n", "\n", "> ‘Data journalism’ only differs from ‘words journalism’ in that we use a different kit. We all sniff out, report, and relate stories for a living. It’s like ‘photo journalism’; just swap the camera for a laptop. - Brian Boyer, Chicago Tribune" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "> [...] providing information and analysis to help inform us all about important issues of the day. - Aron Pilhofer, New York Times" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "> Using Open Data and Data Science principles to ask, analyse and answer complex or contentious questions or areas of inquiry using available evidence. - Bolster, Here" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## What do you what to know?\n", "\n", "This is usually the wrong question;" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## What do you want to know *more about*?\n", "![](img/google-niedu.png)" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-06-05T16:06:08.608805Z", "start_time": "2018-06-05T16:06:08.416821Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "## What relevant data is available?\n", "![](img/opendata-fp.png)" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-06-05T16:07:02.888037Z", "start_time": "2018-06-05T16:07:02.761585Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "![](img/opendata-places.png)" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-06-05T16:40:51.011078Z", "start_time": "2018-06-05T16:40:50.871006Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "![](img/opendata-pp.png)" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-06-05T16:45:06.598868Z", "start_time": "2018-06-05T16:45:06.572510Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "## So what do we *think* we have at the moment?\n", "\n", "* List of schools with at least council/constitutency locations and postcodes\n", "* Enrolements per school for 2016/17\n", "* Demographic comparisons (R/FSM/SEN 0+ or 5)\n", "* A 'churn' rate (newcomers/movers/immigration)" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-06-05T16:48:56.415271Z", "start_time": "2018-06-05T16:48:56.403868Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "## What else could we do with?\n", "\n", "* More years, ideally same format\n", " * _What schools have fewer places per/k council pop?_\n", "* Correlations to deprivation\n", "* Correlations to monoculture/political alignment\n", "* Correlations to population *change*\n", "* Correlations to achievement/mobility\n", "* Correlations to claiment count etc." ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-06-05T16:49:19.766394Z", "start_time": "2018-06-05T16:49:19.760707Z" }, "slideshow": { "slide_type": "fragment" } }, "source": [ "I *think* we can get most of these... but first things first" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-06-05T16:50:13.356742Z", "start_time": "2018-06-05T16:50:13.352035Z" }, "slideshow": { "slide_type": "slide" } }, "source": [ "# Extraction, Transformation and Loading\n", "\n", "* Get the data\n", "* Clean the data\n", "* Store the data" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-06-05T16:50:47.357537Z", "start_time": "2018-06-05T16:50:47.310640Z" }, "slideshow": { "slide_type": "fragment" } }, "source": [ "Gov Open Data is notoriously difficult to 'wander around'" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## Extraction\n", "When in doubt, bring in `pandas`\n", "![](img/panda.png)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Easy mode: `read_csv`" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:19:55.140075Z", "start_time": "2018-10-15T11:19:52.619670Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/html": [ "
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De refschool nameaddress 1townpostcodeschool typemanagement typeconstituencycouncilrural
01210014Ashfield Girls' High School397 HOLYWOOD ROADBELFASTBT42LYSecondaryControlledBELFAST EASTBELFASTUrban
11210015Ashfield Boys' High School395 HOLYWOOD ROADBELFASTBT42LYSecondaryControlledBELFAST EASTBELFASTUrban
21210021Belfast Model School For Girls35 DUNOWEN GARDENSBELFASTBT146NQSecondaryControlledBELFAST NORTHBELFASTUrban
31210022Belfast Boys' Model SchoolBALLYSILLAN ROADBELFASTBT146RBSecondaryControlledBELFAST NORTHBELFASTUrban
41230026St Patrick's College, Belfast619-629 ANTRIM ROADBELFASTBT154DZSecondaryCatholic MaintainedBELFAST NORTHBELFASTUrban
51230053St Louise's Comprehensive College468 FALLS ROADBELFASTBT126ENSecondaryCatholic MaintainedBELFAST WESTBELFASTUrban
61230089Little Flower Girls' School71A SOMERTON ROADBELFASTBT154DESecondaryCatholic MaintainedBELFAST NORTHBELFASTUrban
71230104Mercy CollegeBALLYSILLAN ROADBELFASTBT147QRSecondaryCatholic MaintainedBELFAST NORTHBELFASTUrban
81230130St Rose?s Dominican College65 BEECHMOUNT AVENUEBELFASTBT127NASecondaryCatholic MaintainedBELFAST WESTBELFASTUrban
91230146Christian Brothers School, BelfastGLEN ROADBELFASTBT118BWSecondaryCatholic MaintainedBELFAST WESTBELFASTUrban
101230155St Genevieve's High SchoolTRENCH HOUSEBELFASTBT119JPSecondaryCatholic MaintainedBELFAST WESTBELFASTUrban
111230182De La Salle College36 EDENMORE DRIVEBELFASTBT118LTSecondaryCatholic MaintainedBELFAST WESTBELFASTUrban
121230262Corpus Christi CollegeARD NA VA ROADBELFASTBT126FFSecondaryCatholic MaintainedBELFAST WESTBELFASTUrban
131230275St Joseph's College, Belfast518-572 RAVENHILL ROADBELFASTBT60BYSecondaryCatholic MaintainedBELFAST SOUTHBELFASTUrban
141240291Colaiste Feirste7 BEECHVIEW PARKBELFASTBT127PYSecondaryOther MaintainedBELFAST WESTBELFASTUrban
151260269Hazelwood College70 WHITEWELL ROADNEWTOWNABBEYBT367ESSecondaryGMIBELFAST NORTHBELFASTUrban
161260294Malone Integrated College45 FINAGHY ROAD NORTHBELFASTBT100JBSecondaryGMIBELFAST SOUTHBELFASTUrban
171410079Grosvenor Grammar School50 MARINA PARKBELFASTBT56BAGrammarControlledBELFAST EASTBELFASTUrban
181410270Wellington College18 CAROLAN ROADBELFASTBT73HEGrammarControlledBELFAST SOUTHBELFASTUrban
191410315Bloomfield Collegiate8 ASTORIA GARDENSBELFASTBT56HWGrammarControlledBELFAST EASTBELFASTUrban
201420020Campbell CollegeBELMONT ROADBELFASTBT42NDGrammarVoluntaryBELFAST EASTBELFASTUrban
211420021St Mary's Christian Brothers' Grammar, Belfast147A GLEN ROADBELFASTBT118NRGrammarVoluntaryBELFAST WESTBELFASTUrban
221420022Methodist College1 MALONE ROADBELFASTBT96BYGrammarVoluntaryBELFAST SOUTHBELFASTUrban
231420027The Royal Belfast Academical InstitutionCOLLEGE SQUARE EASTBELFASTBT16DLGrammarVoluntaryBELFAST SOUTHBELFASTUrban
241420028Belfast Royal Academy5-17 CLIFTONVILLE ROADBELFASTBT146JLGrammarVoluntaryBELFAST NORTHBELFASTUrban
251420029St Dominic's High School, Belfast135-137 FALLS ROADBELFASTBT126AEGrammarVoluntaryBELFAST WESTBELFASTUrban
261420030St Malachy's College, Belfast36 ANTRIM ROADBELFASTBT152AEGrammarVoluntaryBELFAST NORTHBELFASTUrban
271420082Dominican College, Belfast38 FORTWILLIAM PARKBELFASTBT154AQGrammarVoluntaryBELFAST NORTHBELFASTUrban
281420089Strathearn School, Belfast188 BELMONT ROADBELFASTBT42AUGrammarVoluntaryBELFAST EASTBELFASTUrban
291420095Rathmore Grammar SchoolKINGSWAYBELFASTBT100LFGrammarVoluntaryBELFAST SOUTHBELFASTUrban
.................................
1715230076St Patrick's College, Banbridge38 SCARVA ROADBANBRIDGEBT323ASSecondaryCatholic MaintainedUPPER BANNARMAGH CITY, BANBRIDGE AND CRAIGAVONUrban
1725230108St Mary's High School, NewryUPPER CHAPEL STREETNEWRYBT342DTSecondaryCatholic MaintainedNEWRY AND ARMAGHNEWRY MOURNE AND DOWNUrban
1735230135St Mark's High SchoolUPPER DROMORE ROADNEWRYBT343PNSecondaryCatholic MaintainedSOUTH DOWNNEWRY MOURNE AND DOWNUrban
1745230152St Ciaran's High School15 TULLYBRYAN ROADDUNGANNONBT702LYSecondaryCatholic MaintainedFERMANAGH AND SOUTH TYRONEMID ULSTERRural
1755230157St Paul's High School, Bessbrook108 CAMLOUGH ROADNEWRYBT357EESecondaryCatholic MaintainedNEWRY AND ARMAGHNEWRY MOURNE AND DOWNRural
1765230167St Joseph's High School, Crossmaglen77 DUNDALK ROADNEWRYBT359HLSecondaryCatholic MaintainedNEWRY AND ARMAGHNEWRY MOURNE AND DOWNRural
1775230187St Patrick's High School, KeadyMIDDLETOWN ROADKEADYBT603THSecondaryCatholic MaintainedNEWRY AND ARMAGHARMAGH CITY, BANBRIDGE AND CRAIGAVONRural
1785230192St Joseph's College, Coalisland29 SCHOOL LANEDUNGANNONBT714NWSecondaryCatholic MaintainedMID ULSTERMID ULSTERUrban
1795230213Lismore Comprehensive SchoolDRUMGASKCRAIGAVONBT655DUSecondaryCatholic MaintainedUPPER BANNARMAGH CITY, BANBRIDGE AND CRAIGAVONUrban
1805230218St Catherine's College2A CONVENT ROADARMAGHBT604BGSecondaryCatholic MaintainedNEWRY AND ARMAGHARMAGH CITY, BANBRIDGE AND CRAIGAVONUrban
1815230256Drumcree College4 MOY ROADPORTADOWNBT621QLSecondaryCatholic MaintainedUPPER BANNARMAGH CITY, BANBRIDGE AND CRAIGAVONUrban
1825230278Holy Trinity CollegeCHAPEL STREETCOOKSTOWNBT808QBSecondaryCatholic MaintainedMID ULSTERMID ULSTERUrban
1835230293St Patrick's College, Dungannon41 KILLYMEAL ROADDUNGANNONBT716LJSecondaryCatholic MaintainedFERMANAGH AND SOUTH TYRONEMID ULSTERUrban
1845250216Brownlow Int CollegeTULLYGALLY ROADCRAIGAVONBT655BSSecondaryControlled IntegratedUPPER BANNARMAGH CITY, BANBRIDGE AND CRAIGAVONUrban
1855260285New-Bridge Integrated College25 DONARD VIEW ROADBANBRIDGEBT323LNSecondaryGMIUPPER BANNARMAGH CITY, BANBRIDGE AND CRAIGAVONRural
1865260286Integrated College Dungannon21 GORTMERRON LINK ROADDUNGANNONBT716LSSecondaryGMIFERMANAGH AND SOUTH TYRONEMID ULSTERUrban
1875410013Banbridge AcademyLURGAN ROADBANBRIDGEBT324AQGrammarControlledUPPER BANNARMAGH CITY, BANBRIDGE AND CRAIGAVONUrban
1885410057Lurgan College9 COLLEGE WALKCRAIGAVONBT666JWGrammarControlledUPPER BANNARMAGH CITY, BANBRIDGE AND CRAIGAVONUrban
1895410067Portadown College4 KILLYCOMAINE ROADCRAIGAVONBT635BUGrammarControlledUPPER BANNARMAGH CITY, BANBRIDGE AND CRAIGAVONUrban
1905420045St Louis Grammar School, Kilkeel151 NEWRY ROADKILKEELBT344EUGrammarVoluntarySOUTH DOWNNEWRY MOURNE AND DOWNUrban
1915420059Abbey Christian Brothers Grammar School77A ASHGROVE ROADNEWRYBT342QNGrammarVoluntarySOUTH DOWNNEWRY MOURNE AND DOWNUrban
1925420060Our Lady's Grammar SchoolCHEQUER HILLNEWRYBT356DYGrammarVoluntaryNEWRY AND ARMAGHNEWRY MOURNE AND DOWNUrban
1935420062St Colman's College, Newry46 ARMAGH ROADNEWRYBT356PPGrammarVoluntaryNEWRY AND ARMAGHNEWRY MOURNE AND DOWNUrban
1945420073St Joseph's Convent Grammar School, Donaghmore58 CASTLECAULFIELD ROADDUNGANNONBT703HEGrammarVoluntaryMID ULSTERMID ULSTERRural
1955420076Sacred Heart Grammar School, Newry10 ASHGROVE AVENUENEWRYBT341PRGrammarVoluntarySOUTH DOWNNEWRY MOURNE AND DOWNUrban
1965420260The Royal School, Dungannon2 RANFURLEY ROADDUNGANNONBT716APGrammarVoluntaryFERMANAGH AND SOUTH TYRONEMID ULSTERUrban
1975420263The Royal School, ArmaghCOLLEGE HILLARMAGHBT619DHGrammarVoluntaryNEWRY AND ARMAGHARMAGH CITY, BANBRIDGE AND CRAIGAVONUrban
1985420268St Patrick's Grammar School, ArmaghCATHEDRAL ROADARMAGHBT617QZGrammarVoluntaryNEWRY AND ARMAGHARMAGH CITY, BANBRIDGE AND CRAIGAVONUrban
1995420304St Patrick's Academy, Dungannon37 KILLYMEAL ROADDUNGANNONBT716DSGrammarVoluntaryFERMANAGH AND SOUTH TYRONEMID ULSTERUrban
2005420314St Ronan?s College12 CORNAKINEGAR ROADLURGANBT679JWGrammarVoluntaryUPPER BANNARMAGH CITY, BANBRIDGE AND CRAIGAVONUrban
\n", "

201 rows × 10 columns

\n", "
" ], "text/plain": [ " De ref school name \\\n", "0 1210014 Ashfield Girls' High School \n", "1 1210015 Ashfield Boys' High School \n", "2 1210021 Belfast Model School For Girls \n", "3 1210022 Belfast Boys' Model School \n", "4 1230026 St Patrick's College, Belfast \n", "5 1230053 St Louise's Comprehensive College \n", "6 1230089 Little Flower Girls' School \n", "7 1230104 Mercy College \n", "8 1230130 St Rose?s Dominican College \n", "9 1230146 Christian Brothers School, Belfast \n", "10 1230155 St Genevieve's High School \n", "11 1230182 De La Salle College \n", "12 1230262 Corpus Christi College \n", "13 1230275 St Joseph's College, Belfast \n", "14 1240291 Colaiste Feirste \n", "15 1260269 Hazelwood College \n", "16 1260294 Malone Integrated College \n", "17 1410079 Grosvenor Grammar School \n", "18 1410270 Wellington College \n", "19 1410315 Bloomfield Collegiate \n", "20 1420020 Campbell College \n", "21 1420021 St Mary's Christian Brothers' Grammar, Belfast \n", "22 1420022 Methodist College \n", "23 1420027 The Royal Belfast Academical Institution \n", "24 1420028 Belfast Royal Academy \n", "25 1420029 St Dominic's High School, Belfast \n", "26 1420030 St Malachy's College, Belfast \n", "27 1420082 Dominican College, Belfast \n", "28 1420089 Strathearn School, Belfast \n", "29 1420095 Rathmore Grammar School \n", ".. ... ... \n", "171 5230076 St Patrick's College, Banbridge \n", "172 5230108 St Mary's High School, Newry \n", "173 5230135 St Mark's High School \n", "174 5230152 St Ciaran's High School \n", "175 5230157 St Paul's High School, Bessbrook \n", "176 5230167 St Joseph's High School, Crossmaglen \n", "177 5230187 St Patrick's High School, Keady \n", "178 5230192 St Joseph's College, Coalisland \n", "179 5230213 Lismore Comprehensive School \n", "180 5230218 St Catherine's College \n", "181 5230256 Drumcree College \n", "182 5230278 Holy Trinity College \n", "183 5230293 St Patrick's College, Dungannon \n", "184 5250216 Brownlow Int College \n", "185 5260285 New-Bridge Integrated College \n", "186 5260286 Integrated College Dungannon \n", "187 5410013 Banbridge Academy \n", "188 5410057 Lurgan College \n", "189 5410067 Portadown College \n", "190 5420045 St Louis Grammar School, Kilkeel \n", "191 5420059 Abbey Christian Brothers Grammar School \n", "192 5420060 Our Lady's Grammar School \n", "193 5420062 St Colman's College, Newry \n", "194 5420073 St Joseph's Convent Grammar School, Donaghmore \n", "195 5420076 Sacred Heart Grammar School, Newry \n", "196 5420260 The Royal School, Dungannon \n", "197 5420263 The Royal School, Armagh \n", "198 5420268 St Patrick's Grammar School, Armagh \n", "199 5420304 St Patrick's Academy, Dungannon \n", "200 5420314 St Ronan?s College \n", "\n", " address 1 town postcode school type \\\n", "0 397 HOLYWOOD ROAD BELFAST BT42LY Secondary \n", "1 395 HOLYWOOD ROAD BELFAST BT42LY Secondary \n", "2 35 DUNOWEN GARDENS BELFAST BT146NQ Secondary \n", "3 BALLYSILLAN ROAD BELFAST BT146RB Secondary \n", "4 619-629 ANTRIM ROAD BELFAST BT154DZ Secondary \n", "5 468 FALLS ROAD BELFAST BT126EN Secondary \n", "6 71A SOMERTON ROAD BELFAST BT154DE Secondary \n", "7 BALLYSILLAN ROAD BELFAST BT147QR Secondary \n", "8 65 BEECHMOUNT AVENUE BELFAST BT127NA Secondary \n", "9 GLEN ROAD BELFAST BT118BW Secondary \n", "10 TRENCH HOUSE BELFAST BT119JP Secondary \n", "11 36 EDENMORE DRIVE BELFAST BT118LT Secondary \n", "12 ARD NA VA ROAD BELFAST BT126FF Secondary \n", "13 518-572 RAVENHILL ROAD BELFAST BT60BY Secondary \n", "14 7 BEECHVIEW PARK BELFAST BT127PY Secondary \n", "15 70 WHITEWELL ROAD NEWTOWNABBEY BT367ES Secondary \n", "16 45 FINAGHY ROAD NORTH BELFAST BT100JB Secondary \n", "17 50 MARINA PARK BELFAST BT56BA Grammar \n", "18 18 CAROLAN ROAD BELFAST BT73HE Grammar \n", "19 8 ASTORIA GARDENS BELFAST BT56HW Grammar \n", "20 BELMONT ROAD BELFAST BT42ND Grammar \n", "21 147A GLEN ROAD BELFAST BT118NR Grammar \n", "22 1 MALONE ROAD BELFAST BT96BY Grammar \n", "23 COLLEGE SQUARE EAST BELFAST BT16DL Grammar \n", "24 5-17 CLIFTONVILLE ROAD BELFAST BT146JL Grammar \n", "25 135-137 FALLS ROAD BELFAST BT126AE Grammar \n", "26 36 ANTRIM ROAD BELFAST BT152AE Grammar \n", "27 38 FORTWILLIAM PARK BELFAST BT154AQ Grammar \n", "28 188 BELMONT ROAD BELFAST BT42AU Grammar \n", "29 KINGSWAY BELFAST BT100LF Grammar \n", ".. ... ... ... ... \n", "171 38 SCARVA ROAD BANBRIDGE BT323AS Secondary \n", "172 UPPER CHAPEL STREET NEWRY BT342DT Secondary \n", "173 UPPER DROMORE ROAD NEWRY BT343PN Secondary \n", "174 15 TULLYBRYAN ROAD DUNGANNON BT702LY Secondary \n", "175 108 CAMLOUGH ROAD NEWRY BT357EE Secondary \n", "176 77 DUNDALK ROAD NEWRY BT359HL Secondary \n", "177 MIDDLETOWN ROAD KEADY BT603TH Secondary \n", "178 29 SCHOOL LANE DUNGANNON BT714NW Secondary \n", "179 DRUMGASK CRAIGAVON BT655DU Secondary \n", "180 2A CONVENT ROAD ARMAGH BT604BG Secondary \n", "181 4 MOY ROAD PORTADOWN BT621QL Secondary \n", "182 CHAPEL STREET COOKSTOWN BT808QB Secondary \n", "183 41 KILLYMEAL ROAD DUNGANNON BT716LJ Secondary \n", "184 TULLYGALLY ROAD CRAIGAVON BT655BS Secondary \n", "185 25 DONARD VIEW ROAD BANBRIDGE BT323LN Secondary \n", "186 21 GORTMERRON LINK ROAD DUNGANNON BT716LS Secondary \n", "187 LURGAN ROAD BANBRIDGE BT324AQ Grammar \n", "188 9 COLLEGE WALK CRAIGAVON BT666JW Grammar \n", "189 4 KILLYCOMAINE ROAD CRAIGAVON BT635BU Grammar \n", "190 151 NEWRY ROAD KILKEEL BT344EU Grammar \n", "191 77A ASHGROVE ROAD NEWRY BT342QN Grammar \n", "192 CHEQUER HILL NEWRY BT356DY Grammar \n", "193 46 ARMAGH ROAD NEWRY BT356PP Grammar \n", "194 58 CASTLECAULFIELD ROAD DUNGANNON BT703HE Grammar \n", "195 10 ASHGROVE AVENUE NEWRY BT341PR Grammar \n", "196 2 RANFURLEY ROAD DUNGANNON BT716AP Grammar \n", "197 COLLEGE HILL ARMAGH BT619DH Grammar \n", "198 CATHEDRAL ROAD ARMAGH BT617QZ Grammar \n", "199 37 KILLYMEAL ROAD DUNGANNON BT716DS Grammar \n", "200 12 CORNAKINEGAR ROAD LURGAN BT679JW Grammar \n", "\n", " management type constituency \\\n", "0 Controlled BELFAST EAST \n", "1 Controlled BELFAST EAST \n", "2 Controlled BELFAST NORTH \n", "3 Controlled BELFAST NORTH \n", "4 Catholic Maintained BELFAST NORTH \n", "5 Catholic Maintained BELFAST WEST \n", "6 Catholic Maintained BELFAST NORTH \n", "7 Catholic Maintained BELFAST NORTH \n", "8 Catholic Maintained BELFAST WEST \n", "9 Catholic Maintained BELFAST WEST \n", "10 Catholic Maintained BELFAST WEST \n", "11 Catholic Maintained BELFAST WEST \n", "12 Catholic Maintained BELFAST WEST \n", "13 Catholic Maintained BELFAST SOUTH \n", "14 Other Maintained BELFAST WEST \n", "15 GMI BELFAST NORTH \n", "16 GMI BELFAST SOUTH \n", "17 Controlled BELFAST EAST \n", "18 Controlled BELFAST SOUTH \n", "19 Controlled BELFAST EAST \n", "20 Voluntary BELFAST EAST \n", "21 Voluntary BELFAST WEST \n", "22 Voluntary BELFAST SOUTH \n", "23 Voluntary BELFAST SOUTH \n", "24 Voluntary BELFAST NORTH \n", "25 Voluntary BELFAST WEST \n", "26 Voluntary BELFAST NORTH \n", "27 Voluntary BELFAST NORTH \n", "28 Voluntary BELFAST EAST \n", "29 Voluntary BELFAST SOUTH \n", ".. ... ... \n", "171 Catholic Maintained UPPER BANN \n", "172 Catholic Maintained NEWRY AND ARMAGH \n", "173 Catholic Maintained SOUTH DOWN \n", "174 Catholic Maintained FERMANAGH AND SOUTH TYRONE \n", "175 Catholic Maintained NEWRY AND ARMAGH \n", "176 Catholic Maintained NEWRY AND ARMAGH \n", "177 Catholic Maintained NEWRY AND ARMAGH \n", "178 Catholic Maintained MID ULSTER \n", "179 Catholic Maintained UPPER BANN \n", "180 Catholic Maintained NEWRY AND ARMAGH \n", "181 Catholic Maintained UPPER BANN \n", "182 Catholic Maintained MID ULSTER \n", "183 Catholic Maintained FERMANAGH AND SOUTH TYRONE \n", "184 Controlled Integrated UPPER BANN \n", "185 GMI UPPER BANN \n", "186 GMI FERMANAGH AND SOUTH TYRONE \n", "187 Controlled UPPER BANN \n", "188 Controlled UPPER BANN \n", "189 Controlled UPPER BANN \n", "190 Voluntary SOUTH DOWN \n", "191 Voluntary SOUTH DOWN \n", "192 Voluntary NEWRY AND ARMAGH \n", "193 Voluntary NEWRY AND ARMAGH \n", "194 Voluntary MID ULSTER \n", "195 Voluntary SOUTH DOWN \n", "196 Voluntary FERMANAGH AND SOUTH TYRONE \n", "197 Voluntary NEWRY AND ARMAGH \n", "198 Voluntary NEWRY AND ARMAGH \n", "199 Voluntary FERMANAGH AND SOUTH TYRONE \n", "200 Voluntary UPPER BANN \n", "\n", " council rural \n", "0 BELFAST Urban \n", "1 BELFAST Urban \n", "2 BELFAST Urban \n", "3 BELFAST Urban \n", "4 BELFAST Urban \n", "5 BELFAST Urban \n", "6 BELFAST Urban \n", "7 BELFAST Urban \n", "8 BELFAST Urban \n", "9 BELFAST Urban \n", "10 BELFAST Urban \n", "11 BELFAST Urban \n", "12 BELFAST Urban \n", "13 BELFAST Urban \n", "14 BELFAST Urban \n", "15 BELFAST Urban \n", "16 BELFAST Urban \n", "17 BELFAST Urban \n", "18 BELFAST Urban \n", "19 BELFAST Urban \n", "20 BELFAST Urban \n", "21 BELFAST Urban \n", "22 BELFAST Urban \n", "23 BELFAST Urban \n", "24 BELFAST Urban \n", "25 BELFAST Urban \n", "26 BELFAST Urban \n", "27 BELFAST Urban \n", "28 BELFAST Urban \n", "29 BELFAST Urban \n", ".. ... ... \n", "171 ARMAGH CITY, BANBRIDGE AND CRAIGAVON Urban \n", "172 NEWRY MOURNE AND DOWN Urban \n", "173 NEWRY MOURNE AND DOWN Urban \n", "174 MID ULSTER Rural \n", "175 NEWRY MOURNE AND DOWN Rural \n", "176 NEWRY MOURNE AND DOWN Rural \n", "177 ARMAGH CITY, BANBRIDGE AND CRAIGAVON Rural \n", "178 MID ULSTER Urban \n", "179 ARMAGH CITY, BANBRIDGE AND CRAIGAVON Urban \n", "180 ARMAGH CITY, BANBRIDGE AND CRAIGAVON Urban \n", "181 ARMAGH CITY, BANBRIDGE AND CRAIGAVON Urban \n", "182 MID ULSTER Urban \n", "183 MID ULSTER Urban \n", "184 ARMAGH CITY, BANBRIDGE AND CRAIGAVON Urban \n", "185 ARMAGH CITY, BANBRIDGE AND CRAIGAVON Rural \n", "186 MID ULSTER Urban \n", "187 ARMAGH CITY, BANBRIDGE AND CRAIGAVON Urban \n", "188 ARMAGH CITY, BANBRIDGE AND CRAIGAVON Urban \n", "189 ARMAGH CITY, BANBRIDGE AND CRAIGAVON Urban \n", "190 NEWRY MOURNE AND DOWN Urban \n", "191 NEWRY MOURNE AND DOWN Urban \n", "192 NEWRY MOURNE AND DOWN Urban \n", "193 NEWRY MOURNE AND DOWN Urban \n", "194 MID ULSTER Rural \n", "195 NEWRY MOURNE AND DOWN Urban \n", "196 MID ULSTER Urban \n", "197 ARMAGH CITY, BANBRIDGE AND CRAIGAVON Urban \n", "198 ARMAGH CITY, BANBRIDGE AND CRAIGAVON Urban \n", "199 MID ULSTER Urban \n", "200 ARMAGH CITY, BANBRIDGE AND CRAIGAVON Urban \n", "\n", "[201 rows x 10 columns]" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "url_from_odni = \"https://www.opendatani.gov.uk/dataset/6058be29-b2e1-4253-bab8-8a018568560a/resource/b4fcfed1-2dc1-4f61-8968-573535522d53/download/school-level-post-primary-reference-data.csv\"\n", "pd.read_csv(url_from_odni)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Hardmode: API's" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:19:55.172611Z", "start_time": "2018-10-15T11:19:55.142839Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "from ckanapi import RemoteCKAN # it's on pip\n", "def build_odni_connection():\n", " \"\"\"Be nice to OpenDataNI and tell them how old I am. (And that it's me)\"\"\"\n", " version_no = (pd.to_datetime('now') -\n", " pd.to_datetime('1988/05/17')).days/365\n", " ua = f'@Bolster/{version_no:.2f} (+http://bolster.online/)'\n", " return RemoteCKAN('https://www.opendatani.gov.uk/', user_agent=ua)\n" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:19:55.648444Z", "start_time": "2018-10-15T11:19:55.174861Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "['2011-census-microdata-sample-of-anonymised-records-teaching-file',\n", " '2018-based-population-projections-for-northern-ireland',\n", " 'a26-dualling-lidar',\n", " 'a6-lidar',\n", " 'active-places-ni-sports-facilities-database',\n", " 'activity-centre-ccgbc',\n", " 'adult-bmi-health-survey-northern-ireland',\n", " 'adult-magistrates-defendants-dealt-with',\n", " 'advice-centres',\n", " 'air-quality-monitoring-stations',\n", " 'analysis-of-the-trees-of-belfast',\n", " 'anbc-car-parking',\n", " 'anbc-local-nature-reserves',\n", " 'annual-survey-of-hours-and-earnings',\n", " 'anti-social-behaviour-incidents-recorded-by-the-police-in-northern-ireland',\n", " 'antrim-and-newtownabbey-borough-council-assets',\n", " 'antrim-and-newtownabbey-borough-council-bring-bank-locations',\n", " 'antrim-newtownabbey-borough-council-assets',\n", " 'applications-by-position-applied-for-2015-16',\n", " 'applications-by-type-town-and-country',\n", " 'approved-venues-for-civil-ceremonies-in-causeway-coast-and-glens-borough-council-2016',\n", " 'ards-and-north-down-borough-council-car-parks',\n", " 'ards-and-north-down-councillors',\n", " 'areas-of-archaeological-potential',\n", " 'areas-of-outstanding-natural-beauty',\n", " 'areas-of-significant-archaeological-interest',\n", " 'areas-of-special-scientific-interest',\n", " 'armagh-city-banbridge-craigavon-borough-councillors',\n", " 'attendance-allowance-recipients-statistical-geography',\n", " 'authorised-waste-sites-treatment-storage',\n", " 'average-2015-prescription-costs-for-gp-practices-in-northern-ireland',\n", " 'bathymetric-lidar-for-red-bay',\n", " 'bathymetric-lidar-for-small-area-of-strangford-lough',\n", " 'bcni2018',\n", " 'beaches-ccgbc',\n", " 'belfast-bicycle-network',\n", " 'belfast-bike-hire-rentals-and-returns',\n", " 'belfast-bike-hire-rentals-returns',\n", " 'belfast-city-council-councillors',\n", " 'belfast-council-car-parks',\n", " 'belfast-cycle-map',\n", " 'belfast-trees',\n", " 'belfast-young-people-who-think-that-local-facilities-are-shared-and-open-to-all',\n", " 'bike-hire-stations',\n", " 'border-crossings-2018',\n", " 'botanic-gardens-3d-tree-model',\n", " 'bottle-banks',\n", " 'boundary-commision-for-northern-ireland-final-recommendations',\n", " 'boundary-commission-for-northern-ireland-revised-proposals',\n", " 'boundary-review',\n", " 'bowling-pavilions',\n", " 'breastfeeding-welcome-here-certificate-holders',\n", " 'bring-sites-ccgbc',\n", " 'cancer-waiting-times',\n", " 'caravan-and-camping-sites-in-causeway-coast-and-glens-borough-council',\n", " 'caravan-sites-within-the-borough',\n", " 'carers-allowance-recipients-statistical-geography',\n", " 'causewaycoastandglensbc',\n", " 'causeway-coast-and-glens-borough-councillors',\n", " 'causeway-coast-and-glens-borough-council-offices',\n", " 'causeway-coast-and-glens-borough-council-off-street-car-parks',\n", " 'cemeteries',\n", " 'cemeteries-and-old-graveyards-in-causeway-coast-and-glens-borough-council',\n", " 'city-parks',\n", " 'civic-amenity-sites',\n", " 'client-group-analysis-claimants-statisical-geographies',\n", " 'clinical-social-care-negligence-cases',\n", " 'coastal-flood-boundary-extreme-sea-levels-2018-ni-extract-irish-grid-projection',\n", " 'community-centres',\n", " 'community-centres-in-causeway-coast-and-glens-borough-council',\n", " 'compensation-claims-by-compensator-and-type',\n", " 'compensation-recovery-scheme-benefit-and-health-service-recoveries',\n", " 'complaints-and-mp-mla-correspondence-received-by-land-property-services',\n", " 'conservation-areas-in-causeway-coast-and-glens-borough-council',\n", " 'construction-procurement-pipeline-fo-rni',\n", " 'contracts-awarded-by-central-procurement-directorate-in-the-2016-2017-year',\n", " 'council-properties',\n", " 'crown-court-defendants-dealt-with',\n", " 'cycle-ni-routes-in-causeway-coast-and-glens-borough-council-area',\n", " 'datasets-financial-abuse-of-older-people',\n", " 'defence-heritage',\n", " 'department-of-education-northern-ireland-information-asset-register',\n", " 'department-of-health-trust-boundaries',\n", " 'derry-and-strabane-borough-councillors',\n", " 'derry-city-and-strabane-district-council-off-street-car-parks-locations',\n", " 'diagnostic-waiting-times',\n", " 'disability-living-allowance-recipients-statistical-geographies',\n", " 'disabled-persons-allowance-statistics',\n", " 'disease-prevalence',\n", " 'disease-prevalence-in-northern-ireland',\n", " 'dispensing-by-contractor',\n", " 'dof-information-asset-register',\n", " 'dof-senior-civil-servants-gifts-hospitality',\n", " 'domestic-abuse-incidents-and-crimes-recorded-by-the-police-in-northern-ireland',\n", " 'draft-programme-for-government-framework-2016-21',\n", " 'drainage-asset',\n", " 'driver-testing-outcomes-by-test-centre',\n", " 'e-car-charge-points-in-causeway-coast-and-glens-borough-council',\n", " 'emergency-care-waiting-times',\n", " 'emergency-care-waiting-times1',\n", " 'enrolments-by-school-management-type',\n", " 'environmental-noise-directive-noise-mapping',\n", " 'essential-skills-activity',\n", " 'essential-skills-activity-2002-20014-15',\n", " 'essential-skills-activity-2002-2015-16',\n", " 'essential-skills-enrolments-administrative-geographies',\n", " 'estimates-of-the-population-aged-85-and-over-northern-ireland',\n", " 'eu-referendum-23-june-2016',\n", " 'european-parliament-election-22-may-2014-ni-region',\n", " 'events',\n", " 'examination-performance-at-post-primary-schools-in-northern-ireland-2016-17',\n", " 'examination-performance-at-post-primary-schools-in-northern-ireland-2017-18',\n", " 'family-fun-in-causeway-coast-and-glens-borough-council',\n", " 'farm-census-administrative-geographies',\n", " 'fermanagh-and-omagh-district-council-bowling-pavilions',\n", " 'fermanagh-and-omagh-district-council-car-parks',\n", " 'fermanagh-and-omagh-district-council-leisure-centres',\n", " 'fermanagh-and-omagh-district-councillors',\n", " 'filtering-offence-list',\n", " 'find-your-nearest-bus-stops',\n", " 'find-your-public-amenities-in-northern-ireland',\n", " 'fly-tipping',\n", " 'fodc-community-centres',\n", " 'fodc-defibrillator-locations',\n", " 'fodc-members-allowances-2017-2018',\n", " 'fodc-recycling-centres',\n", " 'fodc-road-signage',\n", " 'fodc-tree-preservation-orders',\n", " 'food-premise-hygiene-ratings',\n", " 'former-nuts-iii-areas',\n", " 'full-list-of-first-forenames-given-to-babies-registered-in-northern-ireland',\n", " 'further-education-achievements-administrative-geographies',\n", " 'further-education-activity',\n", " 'further-education-regulated-enrolments-administrative-geographies',\n", " 'gp-practice-list-sizes',\n", " 'gp-prescribing-data',\n", " 'gp-prescription-spending-by-british-national-formulary-bnf-chapter-and-drug-april-2013-may-2016',\n", " 'greater-beflast-area-park-and-ride-sites',\n", " 'gross-hourly-pay-annual-survey-of-hours-and-earnings',\n", " 'gross-weekly-pay-annual-survey-of-hours-and-earnings',\n", " 'gsni-250k-geology',\n", " 'gsni-tellus-regional-airborne-geophysical-survey-electromagnetic-grids',\n", " 'gsni-tellus-regional-airborne-geophysical-survey-electromagnetics',\n", " 'gsni-tellus-regional-airborne-geophysical-survey-magnetic-grids',\n", " 'gsni-tellus-regional-airborne-geophysical-survey-magnetics',\n", " 'gsni-tellus-regional-airborne-geophysical-survey-radiometric-grids',\n", " 'gsni-tellus-regional-airborne-geophysical-survey-radiometrics',\n", " 'gsni-tellus-regional-stream-sediments',\n", " 'gsni-tellus-regional-stream-waters-icp',\n", " 'hea',\n", " 'health',\n", " 'health-trust-community-services-and-reference-costs',\n", " 'health-trust-community-services-indicators-and-reference-costs-2015-16',\n", " 'health-trust-community-services-indicators-and-reference-costs-2016-17',\n", " 'health-trust-community-services-indicators-and-reference-costs-2017-18',\n", " 'health-trust-reference-costs-2015-16',\n", " 'health-trust-reference-costs-2016-17',\n", " 'health-trust-reference-costs-2017-18',\n", " 'health-trust-specialist-services-reference-costs-2015-16',\n", " 'health-trust-specialist-services-reference-costs-2016-17',\n", " 'health-trust-specialist-services-reference-costs-2017-18',\n", " 'higher-education-enrolments-administrative-geographies',\n", " 'higher-education-qualifications-administrative-geographies',\n", " 'highway-network',\n", " 'historic-environment-division-lidar',\n", " 'historic-environment-division-lidar-2008',\n", " 'historic-environment-division-lidar-2009',\n", " 'historic-environment-division-lidar-2013',\n", " 'historic-environment-division-lidar-2014',\n", " 'historic-parks-and-gardens',\n", " 'household-projections-for-northern-ireland-2016-based',\n", " 'http-https-www-daera-ni-gov-uk-topics-marine',\n", " 'https-www-daera-ni-gov-uk-sites-default-files-publications-doe-lakewaterbodygml-zip',\n", " 'https-www-daera-ni-gov-uk-sites-default-files-publications-doe-riversegmentgml-zip',\n", " 'https-www-nisra-gov-uk-statistics-deprivation',\n", " 'http-www-hscbusiness-hscni-net-services-2070-htm',\n", " 'incidents-and-crimes-with-a-hate-motivation-recorded-by-the-police-in-northern-ireland',\n", " 'income-support-recipients-stat-geog',\n", " 'industrial-heritage-record',\n", " 'information-requests-lps-2016-2017',\n", " 'information-requests-lps-2017-2018',\n", " 'information-requests-lps-2018-2019',\n", " 'inpatient-waiting-times',\n", " 'irc241559-staff-officer-so-external-recruitment-campaign-section-75-data',\n", " 'irc241560-deputy-principal-dp-external-recruitment-campaign-data',\n", " 'jobs',\n", " 'job-seekers-allowance-claimants-statistical-geographies',\n", " 'landscape-character-areas',\n", " 'leisure-centre-ccgbc',\n", " 'leisure-centres',\n", " 'libraries-ni-annual-loans-summary',\n", " 'library-locations-ni',\n", " 'licensed-bus-vehicles',\n", " 'licensed-taxi-drivers-by-postal-district',\n", " 'licensed-taxi-vehicles',\n", " 'lidar-belfast-city-2006',\n", " 'lidar-lough-neagh-environs-2017',\n", " 'lighting-assets',\n", " 'lisburn-and-castlereagh-city-council',\n", " 'lisburn-carpark-data',\n", " 'listed-buildings-northern-ireland',\n", " 'locate-a-school',\n", " 'lone-pensioner-allowance-statistics',\n", " 'lps-arcgis',\n", " 'lps-call-handling-stats',\n", " 'marinas-harbours-and-slipways-in-causeway-coast-and-glens-borough-council',\n", " 'materials-collected-at-northern-ireland-local-authority-waste-management-sites-time-series-data',\n", " 'members-allowances',\n", " 'metro-timetable-data-valid-from-18-june-until-31-august-2016',\n", " 'mid-and-east-antrim-borough-councillors',\n", " 'mid-and-east-antrim-borough-council-off-street-car-parks',\n", " 'mid-ulster-council-caravan-amp-camping-sites',\n", " 'mid-ulster-council-district-electoral-areas',\n", " 'mid-ulster-council-leisure-and-rec-centres',\n", " 'mid-ulster-council-licensed-petroleum-sites',\n", " 'mid-ulster-council-off-street-car-parks',\n", " 'mid-ulster-council-old-burial-grounds',\n", " 'mid-ulster-council-parks-services-facilities',\n", " 'mid-ulster-council-properties',\n", " 'mid-ulster-council-public-toilets',\n", " 'mid-ulster-council-tourism-locations',\n", " 'mid-ulster-council-townlands',\n", " 'mid-ulster-council-wards',\n", " 'mid-ulster-district-council',\n", " 'mid-ulster-district-council-echarging-points',\n", " 'mid-ulster-district-councillors',\n", " 'mid-ulster-district-schools',\n", " 'mudc-aed-locations',\n", " 'my-train-for-amazon-echo',\n", " 'national-nature-reserves',\n", " 'new_lps_environ_test',\n", " 'new_lps_test',\n", " 'newry-city-core-photogrammetry-survey-point-cloud-scan',\n", " 'newry-mourne-and-down-district-councillors',\n", " 'nia-constituencies',\n", " 'ni-air-quality',\n", " 'nia-members',\n", " 'nia-questions',\n", " 'nia-register',\n", " 'ni-assembly-election-5-may-2016',\n", " 'ni-coastal-erosion-high-level-risk-appraisal',\n", " 'ni-coastal-vulnerability-assessment-historic-assets',\n", " 'ni-coastal-vulnerability-assessment-natural-assets',\n", " 'ni-coastal-vulnerability-assessment-physical-assets',\n", " 'nics-permanent-secretary-business-expenses-april-2019-june-2019',\n", " 'nics-permanent-secretary-expenses-april-2018-march-2019',\n", " 'nics-permanent-secretary-expenses-july-to-september-2019',\n", " 'nics-permanent-secretary-gifts-and-hospitality-register-april-to-june-2019',\n", " 'nics-permanent-secretary-gifts-and-hospitality-register-jul-sept-2019',\n", " 'ni-cycle-counters-raw-data-2011-2016',\n", " 'ni-direct-website-data',\n", " 'niea-authorised-landfill-sites',\n", " 'ni-gp-prescribing-data-november-december-2015',\n", " 'ni-herd-flock-map-references',\n", " 'ni-housing-stock',\n", " 'nihpi-by-propertytype',\n", " 'nihpi-mean-median-standardisded-price',\n", " 'nihpi-verified-sales-by-propertytype',\n", " 'nir20160126v2',\n", " 'nisra-open-data-boundaries-output-areas-2001',\n", " 'nisra-open-data-boundaries-small-areas-2011',\n", " 'nisra-open-data-boundaries-super-output-areas-2011',\n", " 'ni-water-customer-tap-authorised-supply-point-results',\n", " 'ni-water-s-2017-air-to-niaur-regulatory-accounts-movement-on-current-cost-reserve',\n", " 'ni-water-s-air-submission-to-niaur-regarding-customer-service',\n", " 'ni-water-s-air-submission-to-niaur-regarding-opa-input-data-overall-performance-assessment',\n", " 'ni-water-s-air-to-niaur-analysis-of-fixed-asset-additions-and-asset-maintenance-historic-cost',\n", " 'ni-water-s-air-to-niaur-analysis-of-non-infrastructure-fixed-asset-additions-by-life-categories',\n", " 'ni-water-s-air-to-niaur-financial-measures-capital-investment-gross-capital-investment-variance',\n", " 'ni-water-s-air-to-niaur-financial-measures-depreciation-charge-by-asset',\n", " 'ni-water-s-air-to-niaur-financial-measures-gross-capital-investment',\n", " 'ni-water-s-air-to-niaur-financial-measures-investment-additional-opex-from-capex',\n", " 'ni-water-s-air-to-niaur-financial-measures-investment-capital-grants-and-contributions',\n", " 'ni-water-s-air-to-niaur-financial-measures-public-expenditure-reconciliation',\n", " 'ni-water-s-air-to-niaur-historical-cost-statement-of-total-recognised-gains-and-losses',\n", " 'ni-water-s-air-to-niaur-key-outputs-energy-consumption-and-greenhouse-gas-accounting',\n", " 'ni-water-s-air-to-niaur-non-financial-measures-sewerage-properties-population',\n", " 'ni-water-s-air-to-niaur-non-financial-measures-sewerage-service-activities',\n", " 'ni-water-s-air-to-niaur-profit-and-loss-for-year-ending-31-march',\n", " 'ni-water-s-air-to-niaur-regarding-analysis-of-turnover-and-operating-income',\n", " 'ni-water-s-air-to-niaur-regarding-historical-cost-analysis-of-dividends-and-interest-charges',\n", " 'ni-water-s-air-to-niaur-regarding-key-outputs-health-safety-information',\n", " 'ni-water-s-air-to-niaur-regarding-nominated-outputs-pc15-capital-projects',\n", " 'ni-water-s-air-to-niaur-regarding-non-financial-measures-sewage-collected',\n", " 'ni-water-s-air-to-niaur-regarding-non-financial-measures-sewage-treatment',\n", " 'ni-water-s-air-to-niaur-regarding-non-financial-measures-water-explanatory-factors',\n", " 'ni-water-s-air-to-niaur-regarding-non-financial-measures-water-service-activities',\n", " 'ni-water-s-air-to-niaur-regulatory-accounts-activity-analysis-sewerage-service',\n", " 'ni-water-s-air-to-niaur-regulatory-accounts-activity-costing-analysis-water-service',\n", " 'ni-water-s-air-to-niaur-regulatory-accounts-cash-flow-for-year-ending-31-march',\n", " 'ni-water-s-air-to-niaur-regulatory-accounts-historical-cost-balance-sheet-as-at-31-march',\n", " 'ni-water-s-air-to-niaur-regulatory-accounts-historic-cost-analysis-of-fixed-assets-by-asset-type',\n", " 'ni-water-s-air-to-niaur-regulatory-accounts-reconciliation-of-operating-profit-to-net-cash-flow',\n", " 'ni-water-s-air-to-niaur-security-of-supply-index-planned-level-of-service',\n", " 'ni-water-s-air-to-niaur-serviceability-serviceability-return',\n", " 'ni-water-s-air-to-niaur-sewerage-explanatory-factors-sewage-treatment-numbers',\n", " 'ni-water-s-air-to-niaur-sewerage-explanatory-factors-sewage-treatment-works',\n", " 'ni-water-s-air-to-niaur-sewerage-explanatory-factors-sewage-treatment-works-costs',\n", " 'ni-water-s-air-to-niaur-sewerage-explanatory-factors-sewerage-sub-area-explanatory-factors',\n", " 'ni-water-s-air-to-niaur-sewerage-explanatory-factors-sludge-and-disposal-information',\n", " 'ni-water-s-annual-information-return-submission-to-niaur-regarding-complaints-data-for-ccni',\n", " 'ni-water-s-annual-information-return-submission-to-niaur-regarding-external-sewerage-flooding',\n", " 'ni-water-s-annual-information-return-submission-to-niaur-regarding-internal-sewerage-flooding',\n", " 'ni-water-s-annual-information-return-submission-to-niaur-regarding-sewerage-service',\n", " 'ni-water-s-annual-information-return-submission-to-niaur-regarding-water-delivered',\n", " 'ni-water-s-annual-information-return-submission-to-niaur-regarding-water-metering',\n", " 'ni-water-s-annual-information-return-submission-to-niaur-regarding-water-quality',\n", " 'ni-water-s-annual-information-return-submission-to-niaur-regarding-water-service-outputs',\n", " 'niws-air-niaur-submission-re-outstanding-revenue-and-customer-services-operating-expenditure',\n", " 'niws-air-regarding-complaints-metered-customers-telephone-contacts-and-special-assistance-register',\n", " 'niws-air-to-niaur-regarding-expenditure-and-financial-performance-measures',\n", " 'niws-air-to-niaur-regarding-water-properties-and-population',\n", " 'niw-s-air-to-niaur-regarding-water-service-key-outputs-and-service-delivery',\n", " 'norther',\n", " 'northern-ireland-business-register-and-employment-survey',\n", " 'northern-ireland-capital-value-bands-april-2016',\n", " 'northern-ireland-catchment-stakeholder-groups',\n", " 'northern-ireland-civil-service-employment-statistics',\n", " 'northern-ireland-composite-economic-index',\n", " 'northern-ireland-estuarine-fish-community-surveys',\n", " 'northern-ireland-goods-vehicle-operators-licence-records',\n", " 'northern-ireland-groundwater-bodies',\n", " 'northern-ireland-imposex-surveys',\n", " 'northern-ireland-index-of-production',\n", " 'northern-ireland-index-of-services',\n", " 'northern-ireland-local-authority-collected-municipal-waste-management-statistics',\n", " 'northern-ireland-local-councils-election-22-may-2014',\n", " 'northern-ireland-local-management-areas',\n", " 'northern-ireland-mineral-resources',\n", " 'northern-ireland-multiple-deprivation-measure-2005',\n", " 'northern-ireland-multiple-deprivation-measures-2017',\n", " 'northern-ireland-net-migration',\n", " 'northern-ireland-new-dwelling-completions',\n", " 'northern-ireland-new-dwelling-starts',\n", " 'northern-ireland-planning-statistics-annual-dataset',\n", " 'northern-ireland-railways-halts',\n", " 'northern-ireland-railways-nir-bridges',\n", " 'northern-ireland-railways-nir-culverts',\n", " 'northern-ireland-railways-nir-railway-network',\n", " 'northern-ireland-railways-nir-signal-posts',\n", " 'northern-ireland-railways-platforms',\n", " 'northern-ireland-railways-stations',\n", " 'northern-ireland-river-basin-districts',\n", " 'northern-ireland-river-water-bodies',\n", " 'northern-ireland-road-safety-partnership-2011-20176',\n", " 'northern-ireland-road-traffic-collision-data-2013-15-a-visualisation-of-the-data',\n", " 'northern-ireland-sites-and-monuments-record',\n", " 'northern-ireland-traffic-count-data',\n", " 'notifiable-infectious-diseases-report-2016-week-17',\n", " 'notifiable-infectious-diseases-reports-noids-northern-ireland-trends-predictions',\n", " 'number-of-education-establishments-in-ni-by-management-type',\n", " 'number-of-pupils-attending-education-establishmentsin-ni-by-school-type',\n", " 'obese-and-overweight-children-health-survey-northern-ireland',\n", " 'off-street-car-parks-within-mid-ulster',\n", " 'opendatani-dataset-numbers-by-publisher',\n", " 'opendatani-dataset-suggestions',\n", " 'opendatani-website-statistics-data',\n", " 'open-data-up-to-17-18-csv-file-uploaded-csv-13-to-2016-17',\n", " 'osni-open-data-10k-grid',\n", " 'osni-open-data-10m-dtm-sheets-101-1501',\n", " 'osni-open-data-10m-dtm-sheets-1-501',\n", " 'osni-open-data-10m-dtm-sheets-151-2001',\n", " 'osni-open-data-10m-dtm-sheets-201-2501',\n", " 'osni-open-data-10m-dtm-sheets-251-2931',\n", " 'osni-open-data-10m-dtm-sheets-51-1001',\n", " 'osni-open-data-1-million-raster-infrastructure1',\n", " 'osni-open-data-1-million-raster-locations1',\n", " 'osni-open-data-1-million-raster-natural-environment1',\n", " 'osni-open-data-1-million-raster-parliamentary-boundaries1',\n", " 'osni-open-data-50k-admin-boundaries-counties1',\n", " 'osni-open-data-50k-admin-boundaries-deas-19931',\n", " 'osni-open-data-50k-admin-boundaries-lgds-19931',\n", " 'osni-open-data-50k-admin-boundaries-ni-outline1',\n", " 'osni-open-data-50k-admin-boundaries-parliamentary-constituencies-20081',\n", " 'osni-open-data-50k-admin-boundaries-townlands1',\n", " 'osni-open-data-50k-admin-boundaries-wards-19931',\n", " 'osni-open-data-50k-grid',\n", " 'osni-open-data-50k-transport-line1',\n", " 'osni-open-data-50k-transport-text1',\n", " 'osni-open-data-50m-digital-terrain-model-csv1',\n", " 'osni-open-data-benchmark-data1',\n", " 'osni-open-data-largescale-boundaries-county-boundaries1',\n", " 'osni-open-data-largescale-boundaries-district-electoral-areas-19931',\n", " 'osni-open-data-largescale-boundaries-district-electoral-areas-20121',\n", " 'osni-open-data-largescale-boundaries-local-government-districts-19931',\n", " 'osni-open-data-largescale-boundaries-local-government-districts-20121',\n", " 'osni-open-data-largescale-boundaries-ni-outline1',\n", " 'osni-open-data-largescale-boundaries-parliamentary-constituencies-20081',\n", " 'osni-open-data-largescale-boundaries-townlands1',\n", " 'osni-open-data-largescale-boundaries-wards-19931',\n", " 'osni-open-data-largescale-boundaries-wards-20121',\n", " 'osni-open-data-midscale-raster1',\n", " 'osni-open-data-placename-gazetteer1',\n", " 'osni-open-data-river-basin-lidar-2004-dtms-and-dsms',\n", " 'osni-open-data-river-basin-lidar-2007-dtms-and-dsms',\n", " 'osni-open-data-river-basin-lidar-2008-dtms-and-dsms',\n", " 'osni-open-data-river-basin-lidar-2009-dtms-and-dsms',\n", " 'osni-open-data-river-basin-lidar-2010-dtms-and-dsms',\n", " 'osni-open-data-river-basin-lidar-2012-dtms-and-dsms',\n", " 'osni-open-data-river-basin-lidar-2013-dtms-and-dsms',\n", " 'osni-open-data-river-basin-lidar-2014-dtms-and-dsms',\n", " 'osni-open-data-streetmaps1',\n", " 'osni-open-data-street-name-gazetteer1',\n", " 'osni-open-data-townland-raster-maps1',\n", " 'osni-open-data-transport-50k-points',\n", " 'ou',\n", " 'outpatient-first-and-follow-up-appointments',\n", " 'outpatient-first-and-follow-up-appointments-2015-16',\n", " 'outpatient-first-and-follow-up-appointments-2016-17',\n", " 'outpatient-first-and-follow-up-appointments-2017-18',\n", " 'outpatient-waiting-times',\n", " 'parks-and-gardens-ccgbc',\n", " 'pedestrain-crossing',\n", " 'penalty-charge-notice-data',\n", " 'pension-credit-claimants-statistical-geography',\n", " 'personal-injury-claims-registered-by-solicitor-and-type',\n", " 'pitches-playing-fields',\n", " 'places-to-visit-in-causeway-coast-and-glens',\n", " 'play-areas-ccgbc',\n", " 'play-centres',\n", " 'playgrounds',\n", " 'police-recorded-crime-in-northern-ireland',\n", " 'police-recorded-injury-road-traffic-collision-statistics-northern-ireland',\n", " 'police-recorded-injury-road-traffic-collision-statistics-northern-ireland-2013',\n", " 'police-recorded-injury-road-traffic-collision-statistics-northern-ireland-2014',\n", " 'police-recorded-injury-road-traffic-collision-statistics-northern-ireland-2016',\n", " 'police-recorded-injury-road-traffic-collision-statistics-northern-ireland-2017',\n", " 'police-recorded-injury-road-traffic-collision-statistics-northern-ireland-2018',\n", " 'population-estimates-for-district-electoral-areas-deas-in-northern-ireland',\n", " 'population-estimates-for-northern-ireland',\n", " 'population-estimates-for-small-areas-northern-ireland',\n", " 'population-estimates-for-super-output-areas-soas-and-electoral-wards-northern-ireland',\n", " 'population-projection-for-northern-ireland',\n", " 'population-projections-for-areas-within-northern-ireland-2016-based',\n", " 'pothole-enquiries',\n", " 'prescriptions-cost-savings',\n", " 'prescriptive-variability-of-drugs-by-general-practitioners',\n", " 'primary-1-and-year-8-obesity',\n", " 'priorityhabitats_fens',\n", " 'priorityhabitats_grasslandinventory_update',\n", " 'priorityhabitats_heathland',\n", " 'priorityhabitats_peatland',\n", " 'priorityhabitats_woodland',\n", " 'programme-for-investment-in-public-infrastructure',\n", " 'protected-wreck-sites',\n", " 'psni-fixed-penalties-and-speed-courses-for-motoring-offences-2017-2018',\n", " 'psni-street-crime-data',\n", " 'public-toilet-locations-in-causeway-coast-and-glens',\n", " 'public-toilets',\n", " 'pubs-and-clubs-in-causeway-coast-and-glens',\n", " 'ramsar-sites',\n", " 'rating-income',\n", " 'real-time-rail-stations-arrivals-and-departures',\n", " 'recreational-facilities-ccgbc',\n", " 'recycling-banks',\n", " 'recycling-centres',\n", " 'recycling-centres-ccgbc',\n", " 'registered-and-responsible-body-list',\n", " 'register-of-charities',\n", " 'roadworks',\n", " 'rqia-registered-services',\n", " 'rural-soil-survey',\n", " 'scheduled-historic-monument-areas',\n", " 'school-census-nursery-schools',\n", " 'school-census-post-primary',\n", " 'school-census-pre-primary-schools',\n", " 'school-census-primary-schools',\n", " 'school-census-special-schools',\n", " 'school-enrolments-ni-summary-data',\n", " 'senior-officer-salaries',\n", " 'settlement-boundary-data',\n", " 'settlement-development-limits-2015',\n", " 'special-areas-of-conservation',\n", " 'special-protection-areas',\n", " 'sports-activities-ccgbc',\n", " 'sports-pitches',\n", " 'spreadsheet-of-core-and-cuttings-held-by-gsni',\n", " 'state-pension-claimants-statistical-geography',\n", " 'stop-and-search-statistics-2016-17',\n", " 'stop-and-search-statistics-2017-18',\n", " 'suicides-by-occupation',\n", " 'surface-defects',\n", " 'surface-water-bodies-with-2015-status',\n", " 'theatre-utilisation-activity',\n", " 'the-continuing-religious-divide-in-northern-ireland-s-schools',\n", " 'the-public-trees-of-belfast-city',\n", " 'total-discharges-by-age-and-sex-from-acute-hospitals-in-northern-ireland-by-diagnostic-group-icd-10',\n", " 'total-paid-hours-worked-annual-survey-of-hours-and-earnings',\n", " 'tourismlocations-csv',\n", " 'translink-bus-stop-list',\n", " 'translink-metro-bus-routes',\n", " 'translink-ni-railways-stations',\n", " 'translink-ulsterbus-routes',\n", " 'travel-to-work-areas-2011',\n", " 'trust-community-services-indicators-and-reference-costs',\n", " 'trust-reference-costs',\n", " 'trust-specialist-services-reference-costs',\n", " 'type-of-long-term-condition-by-age-by-sex-dc3101ni',\n", " 'uk-parliamentary-election-7-may-2015',\n", " 'ulsterbus-and-goldline-timetable-data-from-28-june-31-august-2016',\n", " 'umbrella-bodies',\n", " 'upcoming-parades',\n", " 'using-machine-learning-to-extract-useful-information-about-belfast-trees',\n", " 'vehicle-testing-outcomes-by-test-centre',\n", " 'victims-survivors-services-funded-organisations-2017-18',\n", " 'visualising-the-n-i-bus-network-you-wait-for-ages-and-3-743-show-up-at-once',\n", " 'walk-ni-routes-in-causeway-coast-and-glens-borough-council',\n", " 'water-abstraction-licence-application-locations-except-public-water-supplies',\n", " 'what-s-under-the-trees-visualising-opendatani-lidar-in-a-geographical-information-system-gis',\n", " 'whylivehere',\n", " 'world-heritage-site',\n", " 'york-street-interchange-lidar',\n", " 'youth-magistrates-defendants-dealt-with']" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "odni = build_odni_connection()\n", "\n", "odni.action.package_list()" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:05.811058Z", "start_time": "2018-10-15T11:19:55.651191Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['School Census - post primary - Reference data', 'School Census - post primary - enrolments', 'School Census - post primary - Free School Meal entitlement', 'School Census - post primary - SEN', 'School Census - post Primary - Religion', 'School Census - post - Primary - newcomers']\n" ] } ], "source": [ "resource = 'school-census-post-primary'\n", "\n", "dfs = {}\n", "for dataset in odni.action.package_show(id=resource)['resources']:\n", " df = pd.read_csv(dataset['url'], index_col=False)\n", " dfs[dataset['name']] = df\n", "print(list(dfs.keys()))" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:05.817617Z", "start_time": "2018-10-15T11:20:05.813079Z" } }, "outputs": [ { "data": { "text/plain": [ "{'mimetype': None,\n", " 'cache_url': None,\n", " 'hash': '',\n", " 'description': 'School Census information - post primary - newcomers to the school',\n", " 'name': 'School Census - post - Primary - newcomers',\n", " 'format': 'CSV',\n", " 'url': 'https://cc-p-ni.ckan.io/dataset/6058be29-b2e1-4253-bab8-8a018568560a/resource/3f83c61f-e2c1-4ec6-b5fb-1251e72afcba/download/school-level-post-primary-newcomers-2016.csv',\n", " 'datastore_active': True,\n", " 'cache_last_updated': None,\n", " 'package_id': '6058be29-b2e1-4253-bab8-8a018568560a',\n", " 'created': '2017-02-28T15:44:16.253495',\n", " 'state': 'active',\n", " 'mimetype_inner': None,\n", " 'last_modified': None,\n", " 'position': 5,\n", " 'revision_id': '5bbdfb85-b2b4-419b-84f8-73f46ec4965b',\n", " 'url_type': 'upload',\n", " 'id': '3f83c61f-e2c1-4ec6-b5fb-1251e72afcba',\n", " 'resource_type': None,\n", " 'size': None}" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dataset" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-10-12T12:08:59.882000Z", "start_time": "2018-10-12T12:08:59.875449Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "### Those who ignore history...\n", "There's a problem; We want to know about change over time.\n", "\n", "![](img/doe_data_list.png)\n", "\n", "[Dept of Ed have this data 2009-18 on their website in Excel format](https://www.education-ni.gov.uk/articles/school-enrolments-school-level-data)\n", "\n", "OpenDataNI *do not* 😭" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-10-12T12:09:36.343672Z", "start_time": "2018-10-12T12:09:36.208558Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "### We must deeeeel weeeth eet\n", "\n", "![](img/fine.jpg)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:06.560930Z", "start_time": "2018-10-15T11:20:05.819538Z" } }, "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", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Data are collected annually through the School census exercise.Unnamed: 1
0This takes place in early October, when each s...NaN
1In 2017/18, the school census date was 6th Oct...NaN
2Among the information collected are details on...NaN
3Statistics produced from the school census exe...NaN
4NaNNaN
\n", "
" ], "text/plain": [ " Data are collected annually through the School census exercise. Unnamed: 1\n", "0 This takes place in early October, when each s... NaN\n", "1 In 2017/18, the school census date was 6th Oct... NaN\n", "2 Among the information collected are details on... NaN\n", "3 Statistics produced from the school census exe... NaN\n", "4 NaN NaN" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "test_data = \"https://www.education-ni.gov.uk/sites/default/files/publications/education/School%20level%20-%20post%20primary%20schools%20data%20supp%201718.xls\"\n", "pd.read_excel(test_data).head()" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-10-12T13:21:11.079266Z", "start_time": "2018-10-12T13:21:11.071660Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "### Common Data Extraction Hellscapes\n", "\n", "* Inconsistent naming conventions\n", "* Inconsistent format conventions\n", "* Inconsistent schema conventions\n", "* Inconsistent lexical conventions\n", "* Inconsistent *policy changes*\n", "* Shifting *definitions/classifications*\n", "* Lack of meta-linkage during all of the above changes" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Spot the difference...\n", "\n", "* `School%20level%20-%20post%20primary%20schools%20data%20supp%201718.xls`\n", "* `School%20level%20-%20post%20primary%20schools%20data%201617%20supp_0.XLS`" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-10-12T13:23:29.555722Z", "start_time": "2018-10-12T13:23:29.550181Z" }, "slideshow": { "slide_type": "fragment" } }, "source": [ "* order of fields (`supp 1718` vs `201617 supp_0`)\n", "* extra junk (`supp` vs `supp_0`)\n", "* inconstent extensions (`xls` vs `XLS`)" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-10-12T13:23:56.131589Z", "start_time": "2018-10-12T13:23:55.985283Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "### Web Crawling to the rescue!\n", "\n", "![](img/doe_data_list.png)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:07.063442Z", "start_time": "2018-10-15T11:20:06.563954Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "School enrolments - school level data 2018/19\n", "School enrolments - school level data 2017/18\n", "School enrolments - school level data 2016/17\n", "School enrolments - school level data 2015/16\n", "School enrolments - school level data 2014/15\n", "School enrolments - school level data 2013/14\n", "School enrolments - school level data 2012/13\n", "School enrolments - school level data 2011/12\n", "School enrolments - school level data 2010/11\n", "School enrolments - school level data 2009/10\n" ] } ], "source": [ "from bs4 import BeautifulSoup\n", "import requests\n", "\n", "base_url=\"https://www.education-ni.gov.uk\"\n", "\n", "listing_path = \"/articles/school-enrolments-school-level-data\"\n", "soup = BeautifulSoup(requests.get(base_url+listing_path).text, 'lxml')\n", "for link in soup.find_all('a'):\n", " if 'School enrolments - school level data 20' in ' '.join(map(str,link.contents)):\n", " print(link)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "![](img/yey_laura.webp)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Then for each of those, get the href associated with the year" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:07.263025Z", "start_time": "2018-10-15T11:20:07.065483Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/plain": [ "{2018: 'https://www.education-ni.gov.uk/node/37331',\n", " 2017: '/publications/school-enrolments-school-level-data-201718',\n", " 2016: '/publications/school-enrolments-school-level-data-201617',\n", " 2015: '/publications/school-enrolments-school-level-data-201516',\n", " 2014: '/publications/school-enrolments-school-level-data-201415',\n", " 2013: '/publications/school-enrolments-school-level-data-201314',\n", " 2012: '/publications/school-enrolments-school-level-data-201213',\n", " 2011: '/publications/school-enrolments-school-level-data-201112',\n", " 2010: '/publications/school-enrolments-school-level-data-201011',\n", " 2009: '/publications/school-enrolments-school-level-data-200910'}" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "soup = BeautifulSoup(requests.get(base_url+listing_path).text, 'lxml')\n", "year_urls = {}\n", "for link in soup.find_all('a'):\n", " contents = ' '.join(map(str,link.contents))\n", " if 'School enrolments - school level data 20' in contents:\n", " #year = link.get('href')[-6:-2]\n", " year = link.get_text()[-7:-3]\n", " year_urls[int(year)] = link.get('href')\n", "year_urls" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Then walk *those* pages and grab the Excel files...\n", "Using `urllib.request.urlretrieve` to store them on the local filesystem" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:09.106665Z", "start_time": "2018-10-15T11:20:07.267843Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2018:8 docs\n", "2017:8 docs\n", "2016:8 docs\n", "2015:5 docs\n", "2014:5 docs\n", "2013:5 docs\n", "2012:5 docs\n", "2011:5 docs\n", "2010:5 docs\n", "2009:5 docs\n" ] } ], "source": [ "import urllib.request\n", "from pathlib import Path\n", "from collections import defaultdict\n", "year_files = defaultdict(list)\n", "\n", "dest = Path('./data/education-ni/')\n", "for year, path in year_urls.items():\n", " dest.joinpath(str(year)).mkdir(parents=True, exist_ok=True)\n", " if path.startswith('http'): #new docs use real references\n", " soup = BeautifulSoup(requests.get(path).text, 'lxml')\n", " else:\n", " soup = BeautifulSoup(requests.get(base_url+path).text, 'lxml')\n", " for link in soup.find_all('a'):\n", " href=link.get('href',\"\")\n", " filename = href.split('/')[-1]\n", " contents = ' '.join(map(str,link.contents))\n", " if 'xls' in href.split('.')[-1].lower():\n", " # See this requirement right 👆\n", " # Mix of xls, XLSX, xlsx and XLS\n", " if not dest.joinpath(str(year),filename).exists():\n", " urllib.request.urlretrieve(href, dest.joinpath(str(year),filename))\n", " year_files[year].append(filename)\n", " print(f\"{year}:{len(year_files[year])} docs\")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Transformation\n", "\n", "We've technically 'Extracted' the data we wanted from the source,\n", "\n", "Clean and twist the data until it's useful\n", "\n", "This is the most frustrating part of being a data scientist/engineer...\n", "\n", "![](img/frustrated.webp)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Quick inspection of filename 'conventions'" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:09.121242Z", "start_time": "2018-10-15T11:20:09.112893Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2018:/School%20level%20-%20nursery%20schools%20data%201819.XLSX\n", "2018:/School%20level%20-%20pre%20school%20data%201819.XLSX\n", "2018:/Copy%20of%20School%20level%20-%20primary%20schools%20data%201819.XLSX\n", "2018:/School%20level%20-%20post%20primary%20schools%20data%201819.XLS\n", "2018:/School%20level%20-%20special%20school%20data%201819.XLSX\n", "2018:/Available%20places%20-%20nursery%20schools%20and%20units%201819.XLSX\n", "2018:/Available%20places%20-%20primary%201819.XLSX\n", "2018:/Available%20places%20-%20post-primary%201819.XLSX\n", "2017:/School%20level%20-%20nursery%20schools%20data%201718%20supp.xlsx\n", "2017:/School%20level%20-%20post%20primary%20schools%20data%20supp%201718.xls\n", "2017:/School%20level%20-%20primary%20schools%20data%20supp%201718.xlsx\n", "2017:/School%20level%20-%20pre%20school%20data%201718%20supp.xlsx\n", "2017:/available%20places%20-%20primary%201718%20supp.xlsx\n", "2017:/available%20places%20-%20post-primary%201718%20supp.xlsx\n", "2017:/available%20places%20-%20nursery%201718%20supp.xlsx\n", "2017:/School%20level%20-%20special%20school%20data%202017-18_0.xlsx\n", "2016:/School%20level%20-%20nursery%20schools%20data%201617%20supp.XLS\n", "2016:/School%20level%20-%20post%20primary%20schools%20data%201617%20supp_0.XLS\n", "2016:/School%20level%20-%20primary%20schools%20data%201617%20supp.XLSX\n", "2016:/School%20level%20-%20pre%20school%20data%201617%20supp.XLSX\n", "2016:/School%20level%20-%20special_school_data%201617%20supp_0.XLSX\n", "2016:/available%20places%20-%20primary%201617%20supp.XLSX\n", "2016:/available%20places%20-%20post-primary%201617%20supp.XLSX\n", "2016:/available%20places%20-%20nursery%201617%20supp%20final.XLSX\n", "2015:/School%20level%20-%20nursery%20schools%20data%201516%20supp.XLS\n", "2015:/School-level-post-primary-schools-data-1516_1.XLS\n", "2015:/School%20level%20-%20primary%20schools%20data%201516%20supp_0.XLSX\n", "2015:/School%20level%20-%20pre%20school%20data%201516%20supp.XLSX\n", "2015:/School%20level%20-%20special_school_data%201516%20supp.XLSX\n", "2014:/School%20level%20-%20pre%20school%20data%201415.XLS\n", "2014:/School%20level%20-%20nursery%20schools%20data%201415%20supp%20-%20unfilled%20places.XLS\n", "2014:/primary-schools-data-1415-supp-with-unfilled-places.xlsx\n", "2014:/post-primary-schools-data-1415-supp-with-unfilled-places.xlsx\n", "2014:/special-school-data-1415-supp.xlsx\n", "2013:/pre-school-data-2013-14.xlsx\n", "2013:/nursery-schools-data-13-14-supp-incl-unfilled-places.xlsx\n", "2013:/primary-schools-data-2013-14-supp-inc-unfilled-places.xlsx\n", "2013:/post-primary-schools-data-13-14-supp-inc-unfilled-places.xlsx\n", "2013:/special-school-data-2013-14-supp.xlsx\n", "2012:/pre-school-data-2012-13.xlsx\n", "2012:/nursery-schools-data-2012-13-supp-inc-unfilled-places.xlsx\n", "2012:/primary-schools-data-2012-13-supp-inc-unfilled-places-2.xlsx\n", "2012:/post-primary-schools-data-2012-13-supp-inc-unfilled-places.xlsx\n", "2012:/special-school-data-2012-13-supp.xlsx\n", "2011:/pre-school-data-2011-12.xlsx\n", "2011:/nursery-schools-data-2011-12-supp-inc-unfilled-2.xlsx\n", "2011:/primary-schools-data-11-12-supp-inc-unfilled-places-r.xlsx\n", "2011:/post-primary-schools-data-11-12-supp-inc-unfilled-2.xlsx\n", "2011:/special-school-data-11-12-supp.xlsx\n", "2010:/pre-school-data-1011-3.xlsx\n", "2010:/nursery-schools-data-2010-11-supp-inc-unfilled.xlsx\n", "2010:/primary-schools-data-1011-supp-inc-unfilled-r.xlsx\n", "2010:/post-primary-schools-data-10-11-supp-inc-unfilled.xlsx\n", "2010:/special-school-data-1011-supp-2.xlsx\n", "2009:/pre-school-data-0910-3.xlsx\n", "2009:/nursery-schools-data-0910-supp-3.xlsx\n", "2009:/primary-schools-data-0910-supp-r.xlsx\n", "2009:/post-primary-schools-data-0910-supp-2.xlsx\n", "2009:/special-school-data-0910-supp-3.xlsx\n" ] } ], "source": [ "for year, filenames in year_files.items():\n", " for file in filenames:\n", " print(f\"{year}:/{file}\")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Zero in on just post-primary data" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:09.138381Z", "start_time": "2018-10-15T11:20:09.133675Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2018:/School%20level%20-%20post%20primary%20schools%20data%201819.XLS\n", "2018:/Available%20places%20-%20post-primary%201819.XLSX\n", "2017:/School%20level%20-%20post%20primary%20schools%20data%20supp%201718.xls\n", "2017:/available%20places%20-%20post-primary%201718%20supp.xlsx\n", "2016:/School%20level%20-%20post%20primary%20schools%20data%201617%20supp_0.XLS\n", "2016:/available%20places%20-%20post-primary%201617%20supp.XLSX\n", "2015:/School-level-post-primary-schools-data-1516_1.XLS\n", "2014:/post-primary-schools-data-1415-supp-with-unfilled-places.xlsx\n", "2013:/post-primary-schools-data-13-14-supp-inc-unfilled-places.xlsx\n", "2012:/post-primary-schools-data-2012-13-supp-inc-unfilled-places.xlsx\n", "2011:/post-primary-schools-data-11-12-supp-inc-unfilled-2.xlsx\n", "2010:/post-primary-schools-data-10-11-supp-inc-unfilled.xlsx\n", "2009:/post-primary-schools-data-0910-supp-2.xlsx\n" ] } ], "source": [ "for year, filenames in year_files.items():\n", " for file in filenames:\n", " if 'post' in file:\n", " print(f\"{year}:/{file}\")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Don't try and tackle it all at once\n", "\n", "Right, lets limit our scope to look at places available to get a better understanding of the data" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:09.149303Z", "start_time": "2018-10-15T11:20:09.141344Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Year: 2018\n", "Available%20places%20-%20nursery%20schools%20and%20units%201819.XLSX\n", "Available%20places%20-%20primary%201819.XLSX\n", "Available%20places%20-%20post-primary%201819.XLSX\n", "Year: 2017\n", "available%20places%20-%20primary%201718%20supp.xlsx\n", "available%20places%20-%20post-primary%201718%20supp.xlsx\n", "available%20places%20-%20nursery%201718%20supp.xlsx\n", "Year: 2016\n", "available%20places%20-%20primary%201617%20supp.XLSX\n", "available%20places%20-%20post-primary%201617%20supp.XLSX\n", "available%20places%20-%20nursery%201617%20supp%20final.XLSX\n", "Year: 2015\n", "Year: 2014\n", "Year: 2013\n", "Year: 2012\n", "Year: 2011\n", "Year: 2010\n", "Year: 2009\n" ] } ], "source": [ "for year, filenames in year_files.items():\n", " print(f\"Year: {year}\")\n", " for file in filenames:\n", " if file.lower().startswith('available'): \n", " print(file)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "![](img/available_2018.png)" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-10-12T13:31:39.439043Z", "start_time": "2018-10-12T13:31:39.304745Z" }, "slideshow": { "slide_type": "fragment" } }, "source": [ "![](img/available_2015.png)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Try and identify subclasses of datasets that may be tackled automagically\n", "\n", "Ok, what about actually parsing the excel sheets? \n", "\n", "Will *they* be consistent?" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:10.077383Z", "start_time": "2018-10-15T11:20:09.151478Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "{2018: ['meta data',\n", " 'reference data',\n", " 'enrolments',\n", " 'free school meals',\n", " 'SEN',\n", " 'religion',\n", " 'newcomers',\n", " 'School level data',\n", " 'Overall'],\n", " 2017: ['meta data',\n", " 'reference data',\n", " 'enrolments',\n", " 'free school meals',\n", " 'SEN',\n", " 'religion',\n", " 'newcomers',\n", " 'School level data',\n", " 'Overall'],\n", " 2016: ['meta data',\n", " 'reference data',\n", " 'enrolments',\n", " 'free school meals',\n", " 'SEN',\n", " 'religion',\n", " 'newcomers',\n", " 'School level data',\n", " 'Overall'],\n", " 2015: ['meta data',\n", " 'reference data',\n", " 'enrolments',\n", " 'gender',\n", " 'free school meals',\n", " 'SEN',\n", " 'religion',\n", " 'newcomers',\n", " 'unfilled places'],\n", " 2014: ['meta data',\n", " 'reference data',\n", " 'enrolments',\n", " 'gender',\n", " 'free school meals',\n", " 'SEN',\n", " 'religion',\n", " 'newcomers',\n", " 'unfilled places'],\n", " 2013: ['meta data',\n", " 'reference data',\n", " 'enrolments',\n", " 'gender',\n", " 'free school meals',\n", " 'SEN',\n", " 'unfilled places'],\n", " 2012: ['meta data',\n", " 'reference data',\n", " 'enrolments',\n", " 'gender',\n", " 'free school meals',\n", " 'SEN',\n", " 'unfilled places'],\n", " 2011: ['meta data',\n", " 'reference data',\n", " 'enrolments',\n", " 'gender',\n", " 'free school meals',\n", " 'SEN',\n", " 'unfilled places'],\n", " 2010: ['meta data',\n", " 'reference data',\n", " 'enrolments',\n", " 'gender',\n", " 'free school meals',\n", " 'SEN',\n", " 'unfilled places'],\n", " 2009: ['meta data',\n", " 'reference data',\n", " 'enrolments',\n", " 'gender',\n", " 'free school meals',\n", " 'SEN']}" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sheets = defaultdict(list)\n", "for year, files in year_files.items():\n", " for file in files:\n", " if 'post' in file:\n", " xls = pd.ExcelFile(f'data/education-ni/{year}/{file}')\n", " sheets[year].extend(xls.sheet_names)\n", "dict(sheets)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:10.085383Z", "start_time": "2018-10-15T11:20:10.079318Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "[('meta data', 10),\n", " ('reference data', 10),\n", " ('enrolments', 10),\n", " ('free school meals', 10),\n", " ('SEN', 10),\n", " ('gender', 7),\n", " ('unfilled places', 6),\n", " ('religion', 5),\n", " ('newcomers', 5),\n", " ('School level data', 3),\n", " ('Overall', 3)]" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from collections import Counter\n", "all_sheet_names = Counter([_ for d in sheets.values() for _ in d])\n", "all_sheet_names.most_common()" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:10.103848Z", "start_time": "2018-10-15T11:20:10.087354Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "
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unfilled placesFalseFalseFalseTrueTrueTrueTrueTrueTrueFalse
\n", "
" ], "text/plain": [ " 2018 2017 2016 2015 2014 2013 2012 2011 \\\n", "meta data True True True True True True True True \n", "reference data True True True True True True True True \n", "enrolments True True True True True True True True \n", "free school meals True True True True True True True True \n", "SEN True True True True True True True True \n", "religion True True True True True False False False \n", "newcomers True True True True True False False False \n", "School level data True True True False False False False False \n", "Overall True True True False False False False False \n", "gender False False False True True True True True \n", "unfilled places False False False True True True True True \n", "\n", " 2010 2009 \n", "meta data True True \n", "reference data True True \n", "enrolments True True \n", "free school meals True True \n", "SEN True True \n", "religion False False \n", "newcomers False False \n", "School level data False False \n", "Overall False False \n", "gender True True \n", "unfilled places True False " ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df = pd.DataFrame.from_dict({\n", " year: [sn in sheet_names for sn in all_sheet_names] \n", " for year, sheet_names in sheets.items()\n", "}, orient='index')\n", "df.columns=all_sheet_names.keys()\n", "df.T" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-10-12T13:34:21.696582Z", "start_time": "2018-10-12T13:34:21.689865Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "### Visualisation isn't just for output data...\n", "Use visualisation tools to validate your transformation assumptions..." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "All. The. Time." ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:10.210971Z", "start_time": "2018-10-15T11:20:10.105506Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import seaborn as sns\n", "f,ax = plt.subplots(figsize=graph_figsize)\n", "sns.heatmap(df.T, ax=ax)" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-10-12T13:35:47.667796Z", "start_time": "2018-10-12T13:35:47.526748Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "![](img/ahhfuck.webp)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "![](img/2000.png)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## A few highlights from the hellscape\n", "### Best thing about standards is how many there are to choose from...\n", " \n", "![](img/reference_year.png)" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-10-12T13:37:18.585738Z", "start_time": "2018-10-12T13:37:18.579058Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "### Sometimes understanding the data is more painful (and ugly) than expected\n", "This was the only document that seemed to explain what 'supernumerary' actually means\n", "![](img/comic_sans.png)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "It means 'extra'..." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Using multiple tools simultanously can be problematic...\n", "Excel on Mac helpfully puts down a lock-entry on open excel files which prevent it from being opened by other things. \n", "\n", "Pandas occasionally has unhelpful error messages in this regard\n", "\n", "![](img/geethanks.png)" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-10-12T13:38:56.540082Z", "start_time": "2018-10-12T13:38:56.535349Z" } }, "source": [ "### Sometimes you have to give up on stuff because it's too dangerous an area to walk in to.\n", "\n", "Special Educational Needs classification policy is >>100pg policy that appears to change every year.\n", "\n", "I am not an expert on education policy so I'm not sticking my foot in that one without being sure I understand the implications.\n", "\n", "It's your responsibility as a Data Science to be able to make that call, and know your limits." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### \"Machine Readable\"\n", "\n", "![](img/machinereadable.jpg)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "![](img/starman.png)" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-10-12T13:39:32.178235Z", "start_time": "2018-10-12T13:39:32.172096Z" }, "slideshow": { "slide_type": "fragment" } }, "source": [ "" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "![](img/footer.png)" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:10.247220Z", "start_time": "2018-10-15T11:20:10.213597Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "def join_n_strip_n_lower(l): return ' '.join(l).strip().lower()\n", "\n", "def strip_n_lower(s): return s.strip().lower()\n", "\n", "def unyearify(s): return int(s.replace('year ', ''))\n", "\n", "def parse_reference_table(xls):\n", " \"\"\"\n", " From an ExcelFile, clean up:\n", " * School Mgmt Type disaster\n", " * Inconsistent header depth\n", " * Multi-row header names\n", " * inconsistent headers (ref_key_map)\n", " * inconsistent col order\n", " * inconsistent caps/spacing (strip|lower)\n", " \"\"\"\n", " cols= [\n", " 'de ref',\n", " 'school name',\n", " 'school type',\n", " 'address 1',\n", " 'postcode',\n", " 'urban_rural',\n", " 'school management type',\n", " 'district council',\n", " 'parliamentary constituency',\n", " 'town'\n", " ]\n", " \n", " categories = [\n", " 'school type',\n", " 'urban_rural',\n", " 'school management type',\n", " 'district council',\n", " 'parliamentary constituency',\n", " 'town'\n", " ]\n", "\n", " ref_key_map={\n", " 'denino':'de ref',\n", " 'urban/ rural': 'urban_rural',\n", " 'schoolname': 'school name'\n", " }\n", " \n", " reference_value_rename = {\n", " 'school management type':{\n", " 'gmi':'integrated',\n", " 'controlled integrated':'integrated',\n", " 'roman catholic maintained':'rc maintained',\n", " 'grant maintained integrated':'integrated',\n", " 'voluntary - other managed':'voluntary',\n", " 'voluntary - rc managed':'voluntary',\n", " 'catholic maintained':'rc maintained'\n", " }\n", " }\n", " \n", " if 'reference data' in xls.sheet_names:\n", " df = pd.read_excel(xls, 'reference data', header=None)\n", " h_range = 2 if isinstance(df.ix[3,0], int) else 3\n", " try:\n", " df.columns=df.ix[1:h_range].fillna('').apply(join_n_strip_n_lower, axis=0).values\n", " df.rename(columns=ref_key_map, inplace=True)\n", " df = df.drop(df.index[0:h_range+1]).reset_index(drop=True)\n", " df = df[cols]\n", " if hasattr(df['de ref'], 'str'):\n", " try:\n", " df = df[df['de ref'].str.isdigit().fillna(True)].dropna(how='all', axis=0)\n", " except KeyError:\n", " pass\n", " df['de ref'] = df['de ref'].astype(int)\n", " df.set_index('de ref', inplace=True)\n", " for c in df:\n", " df[c]=df[c].str.lower().str.strip() \n", " df.replace(reference_value_rename, inplace=True)\n", " for c in categories:\n", " df[c].fillna('NA', inplace=True)\n", " df[c] = df[c].astype('category')\n", " except TypeError as e:\n", " print(e)\n", " else:\n", " df=None\n", " return df\n", "\n", "def parse_enrolments_table(xls):\n", " \"\"\"From an ExcelFile, clean up:\n", " * Inconsistent header depth\n", " * fucked up nans/nulls all over the place\n", " * inconsistent *footer* depth...\n", " * Set de ref as join index and drop pointless fields\n", " \"\"\"\n", "\n", " if 'enrolments' in xls.sheet_names:\n", " df = pd.read_excel(xls, 'enrolments', header=None, skip_footer=5)\n", " h_range = 2 if isinstance(df.ix[3, 0], int) else 3\n", " try:\n", " df.columns = df.ix[3].fillna('').apply(strip_n_lower).values\n", " df = df.drop(df.index[0:h_range+1]).reset_index(drop=True)\n", " df.dropna(how='all', inplace=True, axis=0)\n", " if hasattr(df['de ref'], 'str'):\n", " try:\n", " df = df[df['de ref'].str.isdigit().fillna(True)].dropna(how='all', axis=0)\n", " except KeyError:\n", " pass\n", " df['de ref'] = df['de ref'].astype(int)\n", " df.drop('schoolname', axis=1, inplace=True)\n", " df.drop('total pupils', axis=1, inplace=True)\n", " df.set_index('de ref', inplace=True)\n", " df.rename(columns=unyearify, inplace=True)\n", " df = df.astype(float)\n", " except TypeError as e:\n", " print(e)\n", " else:\n", " df = None\n", " return df\n", "\n", "def parse_fsm_table(xls):\n", " \"\"\"From an ExcelFile, clean up:\n", " * Inconsistent header depth\n", " * fucked up nans/nulls all over the place\n", " * inconsistent *footer* depth...\n", " * Set de ref as join index and drop pointless fields\n", " \"\"\"\n", " join_n_strip_n_lower = lambda l: ' '.join(l).strip().lower()\n", " strip_n_lower = lambda s: s.strip().lower()\n", " unyearify = lambda s: int(s.replace('year ',''))\n", " \n", " if 'free school meals' in xls.sheet_names:\n", " df = pd.read_excel(xls, 'free school meals', header=None, skip_footer=5)\n", " h_range = 2 if isinstance(df.ix[3,0], int) else 3\n", " try:\n", " df.columns=df.ix[3].fillna('').apply(strip_n_lower).values\n", " df = df.drop(df.index[0:h_range+1]).reset_index(drop=True)\n", " df.dropna(how='all', inplace=True, axis=0)\n", " df['de ref'] = df['de ref'].astype(int)\n", " df.drop('schoolname',axis=1, inplace=True)\n", " df.drop('free school meals', axis=1, inplace=True)\n", " df.set_index('de ref', inplace=True)\n", " df.replace('#',pd.np.nan, inplace=True) # # = Undisclosed\n", " df.replace('*',2.0, inplace=True) # * == < 5\n", " df.replace('!',1, inplace=True) # ! avoid identification, so it's prob one or two\n", " \n", " df=df.astype(float)\n", " except TypeError as e:\n", " print(e)\n", " else:\n", " df=None\n", " return df\n", "\n", "def parse_available_table(xls):\n", " \"\"\"From an ExcelFile, clean up:\n", " * Inconsistent header depth\n", " * fucked up nans/nulls all over the place\n", " * inconsistent *footer* depth...\n", " * Set de ref as join index and drop pointless fields\n", " * Totally different schemas between years\n", " * Inconsistent metric naming\n", " * non numerical data flags (*/!)\n", " \"\"\"\n", " ref_key_map={\n", " 'schoolname': 'school name',\n", " 'total unfilled places': 'available places',\n", " 'unfilled places': 'available places',\n", " 'total approved enrolment number': 'approved enrolments'\n", " }\n", " \n", " join_n_strip_n_lower = lambda l: ' '.join(l).strip().lower()\n", " \n", " if 'School level data' in xls.sheet_names:\n", " df = pd.read_excel(xls, 'School level data', header=None)\n", " h_range = 2 if isinstance(df.ix[3,0], int) else 3\n", " elif 'unfilled places' in xls.sheet_names:\n", " df = pd.read_excel(xls, 'unfilled places', header=None)\n", " h_range = 2 if isinstance(df.ix[3,0], int) else 3\n", " else:\n", " df=None\n", " \n", " if df is not None:\n", " try:\n", " df.columns=df.ix[1:h_range].fillna('').apply(join_n_strip_n_lower, axis=0).values\n", " df.rename(columns=ref_key_map, inplace=True)\n", " df = df.drop(df.index[0:h_range+1]).reset_index(drop=True)\n", " df=df.applymap(lambda x: np.nan if isinstance(x, str) and x.isspace() else x)\n", " df.dropna(how='all', axis=1, inplace=True)\n", " df.dropna(how='any', axis=0, inplace=True)\n", " if df.shape[1] == 6: # recent doesn't have fecking headers\n", " cols = list(df.columns)\n", " cols[0] = 'de ref'\n", " cols[1] = 'school name'\n", " df.columns=cols\n", " df.drop('school name', axis=1, inplace=True)\n", " df['de ref'] = df['de ref'].astype(int)\n", " df.set_index('de ref', inplace=True)\n", " df.replace('*',2.0, inplace=True) # * == < 5\n", " df.replace('!',1, inplace=True) # ! avoid identification, so it's prob one or two\n", " df.dropna(how='all', inplace=True, axis=1)\n", " df.astype(int, inplace=True)\n", " \n", " except TypeError as e:\n", " print(e)\n", "\n", " return df" ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:11.738818Z", "start_time": "2018-10-15T11:20:10.249996Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Got reference data for 2018\n", "Got enrolment data for 2018\n", "Got fsm data for 2018\n", "Got available data for 2018\n", "Got reference data for 2017\n", "Got enrolment data for 2017\n", "Got fsm data for 2017\n", "Got available data for 2017\n", "Got reference data for 2016\n", "Got enrolment data for 2016\n", "Got fsm data for 2016\n", "Got available data for 2016\n", "Got reference data for 2015\n", "Got enrolment data for 2015\n", "Got available data for 2015\n", "Got fsm data for 2015\n", "Got reference data for 2014\n", "Got enrolment data for 2014\n", "Got available data for 2014\n", "Got fsm data for 2014\n", "Got reference data for 2013\n", "Got enrolment data for 2013\n", "Got available data for 2013\n", "Got fsm data for 2013\n", "Got reference data for 2012\n", "Got enrolment data for 2012\n", "Got available data for 2012\n", "Got fsm data for 2012\n", "Got reference data for 2011\n", "Got enrolment data for 2011\n", "Got available data for 2011\n", "Got fsm data for 2011\n", "Got reference data for 2010\n", "Got enrolment data for 2010\n", "Got available data for 2010\n", "Got fsm data for 2010\n", "Got reference data for 2009\n", "Got enrolment data for 2009\n", "Got fsm data for 2009\n" ] } ], "source": [ "re_dfs={}\n", "av_dfs={}\n", "en_dfs={}\n", "fsm_dfs={}\n", "for year, files in year_files.items():\n", " for file in files:\n", " if 'post' in file:\n", " xls = pd.ExcelFile(f'data/education-ni/{year}/{file}')\n", " df = parse_reference_table(xls)\n", " if df is not None:\n", " print(f'Got reference data for {year}')\n", " re_dfs[year]=df\n", " df = parse_enrolments_table(xls)\n", " if df is not None:\n", " print(f'Got enrolment data for {year}')\n", " en_dfs[year]=df\n", " df = parse_available_table(xls)\n", " if df is not None:\n", " print(f'Got available data for {year}')\n", " av_dfs[year]=df\n", " df = parse_fsm_table(xls)\n", " if df is not None:\n", " print(f'Got fsm data for {year}')\n", " fsm_dfs[year]=df\n", " \n", "reference = pd.Panel(re_dfs).sort_index()\n", "available = pd.Panel(av_dfs).sort_index()\n", "enrolment = pd.Panel(en_dfs).sort_index()\n", "fsm = pd.Panel(fsm_dfs).sort_index()" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-10-12T13:41:59.584195Z", "start_time": "2018-10-12T13:41:59.577650Z" }, "slideshow": { "slide_type": "slide" } }, "source": [ "# Bring it all together\n", "Panels are 3D Dataframes, i.e. [Year x School x Metric]\n", "\n", "* Reference: School name, address, denomination, type, etc.\n", "* Available: Allocated places information\n", "* Enrolment: Actual student numbers\n", "* FSM: Free School Meals: Laziest possible deprivation measure, probably doesn't need to be a panel" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# Show me the data\n", "\n", "## Line graphs & boxplots & pie charts, Oh My\n", "\n", "![](img/ohmy.gif)" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:11.763887Z", "start_time": "2018-10-15T11:20:11.741619Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "
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de ref
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" ], "text/plain": [ " 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018\n", "de ref \n", "1210014 672.0 688.0 703.0 708.0 704.0 697.0 704.0 696.0 691.0 699.0\n", "1210015 647.0 650.0 649.0 666.0 709.0 737.0 744.0 728.0 740.0 765.0\n", "1210021 963.0 929.0 899.0 930.0 916.0 884.0 910.0 954.0 946.0 983.0\n", "1210022 907.0 932.0 913.0 930.0 943.0 969.0 968.0 991.0 997.0 1003.0\n", "1210266 297.0 290.0 264.0 247.0 88.0 NaN NaN NaN NaN NaN" ] }, "execution_count": 156, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# What is wrong with this \"sum\" table?\n", "enrolment.sum(axis=2).head()" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-10-12T13:45:12.497901Z", "start_time": "2018-10-12T13:45:12.492623Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "### Skippable aside: Danger Zone\n", "![](img/danger.gif)\n", "\n", "__When is a zero not nothing?__" ] }, { "cell_type": "code", "execution_count": 38, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:13.159455Z", "start_time": "2018-10-15T11:20:13.155042Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "[10, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "[10]+[np.nan]*10" ] }, { "cell_type": "code", "execution_count": 39, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:13.166221Z", "start_time": "2018-10-15T11:20:13.161285Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "text/plain": [ "nan" ] }, "execution_count": 39, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sum([10]+[np.nan]*10)" ] }, { "cell_type": "code", "execution_count": 40, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:13.173010Z", "start_time": "2018-10-15T11:20:13.168324Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "text/plain": [ "10.0" ] }, "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.Series([10]+[np.nan]*10).sum()" ] }, { "cell_type": "code", "execution_count": 41, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:13.180218Z", "start_time": "2018-10-15T11:20:13.175111Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "text/plain": [ "10.0" ] }, "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.Series([10]+[np.nan]*10).mean()" ] }, { "cell_type": "code", "execution_count": 42, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:13.187783Z", "start_time": "2018-10-15T11:20:13.182191Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "text/plain": [ "nan" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.Series([np.nan]*10).sum()" ] }, { "cell_type": "code", "execution_count": 43, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:13.195002Z", "start_time": "2018-10-15T11:20:13.189555Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "text/plain": [ "0.90909090909090906" ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.Series([10]+[0.0]*10).mean()" ] }, { "cell_type": "code", "execution_count": 44, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:13.210605Z", "start_time": "2018-10-15T11:20:13.197072Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " 2009 2010 2011 2012 2013 2014 \\\n", "0 670.726852 678.273148 674.684211 673.577465 681.673077 681.019417 \n", "\n", " 2015 2016 2017 2018 \n", "0 691.605 698.572139 706.256281 725.709184 " ] }, "execution_count": 54, "metadata": {}, "output_type": "execute_result" } ], "source": [ "enrolment.sum(axis=2).replace(0.0,np.nan).mean().to_frame().T" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It's your responsibility as a Data Scientist to understand what questions your algorithms are *really* answering, and make sure that the people who may be answering those question are *crystal clear* about what your data means.\n", "\n", "Data Science is as much about comprehension and communication as it is about statistics and programming." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Return of regular schedule - What happened to average cohort sizes in 2015?" ] }, { "cell_type": "code", "execution_count": 158, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:13.397490Z", "start_time": "2018-10-15T11:20:13.353388Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "execution_count": 158, "metadata": {}, "output_type": "execute_result" } ], "source": [ "enrolment.mean(axis=2).mean().iplot(title='Annual Average Cohort (school,class,year)')" ] }, { "cell_type": "code", "execution_count": 159, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:16.825823Z", "start_time": "2018-10-15T11:20:13.399220Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "execution_count": 159, "metadata": {}, "output_type": "execute_result" } ], "source": [ "enrolment.mean(axis=2).T.iplot(title='Annual Average Cohort (school,class,year) per school', legend=False)" ] }, { "cell_type": "code", "execution_count": 59, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:16.880227Z", "start_time": "2018-10-15T11:20:16.830625Z" }, "scrolled": true, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " closed opened\n", "2009.0 3.0 NaN\n", "2010.0 2.0 3.0\n", "2011.0 1.0 1.0\n", "2012.0 6.0 NaN\n", "2013.0 3.0 1.0\n", "2014.0 11.0 1.0\n", "2015.0 2.0 4.0\n", "2016.0 5.0 3.0\n", "2017.0 5.0 3.0\n", "2018.0 NaN 2.0" ] }, "execution_count": 67, "metadata": {}, "output_type": "execute_result" } ], "source": [ "close_vec=pd.DataFrame({\n", " 'opened':first.groupby(first).size(),\n", " 'closed':last.groupby(last).size()}\n", ")\n", "close_vec" ] }, { "cell_type": "code", "execution_count": 162, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:22.975069Z", "start_time": "2018-10-15T11:20:22.893183Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "execution_count": 162, "metadata": {}, "output_type": "execute_result" } ], "source": [ "close_vec.cumsum().fillna(method='ffill').iplot(title=\"Cumulative number of schools opened\\closed since 2009\")" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-06-08T15:29:57.291636Z", "start_time": "2018-06-08T15:29:39.608Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ " ### Skippable Aside: Slicing Panels" ] }, { "cell_type": "code", "execution_count": 69, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:22.986584Z", "start_time": "2018-10-15T11:20:22.977032Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/plain": [ "array([ True, True, True, False, False, False, False, False], dtype=bool)" ] }, "execution_count": 69, "metadata": {}, "output_type": "execute_result" } ], "source": [ "up_to_ks3=enrolment.minor_axis<=10\n", "up_to_ks3" ] }, { "cell_type": "code", "execution_count": 70, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:23.006398Z", "start_time": "2018-10-15T11:20:22.988406Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " 2009 2010 2011 2012 2013 2014 2015 2016 \\\n", "8 23116.0 23113.0 21332.0 21322.0 21418.0 21367.0 21792.0 22571.0 \n", "9 23859.0 23403.0 22479.0 21928.0 21425.0 21481.0 21422.0 22284.0 \n", "10 22954.0 24155.0 22809.0 23101.0 21971.0 21527.0 21443.0 21864.0 \n", "\n", " 2017 2018 \n", "8 22817.0 23866.0 \n", "9 22650.0 22906.0 \n", "10 22381.0 22776.0 " ] }, "execution_count": 70, "metadata": {}, "output_type": "execute_result" } ], "source": [ "enrolment[:,:,up_to_ks3].sum()" ] }, { "cell_type": "code", "execution_count": 71, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:23.018688Z", "start_time": "2018-10-15T11:20:23.008309Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "Int64Index([3210133, 3230075, 3420012], dtype='int64', name='de ref')" ] }, "execution_count": 71, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cowtown=reference.major_axis[(reference.minor_xs('town')=='ballymoney').any(axis=1)]\n", "cowtown" ] }, { "cell_type": "code", "execution_count": 72, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:23.027529Z", "start_time": "2018-10-15T11:20:23.020525Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "2009 1722.0\n", "2010 1728.0\n", "2011 1736.0\n", "2012 1766.0\n", "2013 1757.0\n", "2014 1762.0\n", "2015 1746.0\n", "2016 1743.0\n", "2017 1691.0\n", "2018 1749.0\n", "dtype: float64" ] }, "execution_count": 72, "metadata": {}, "output_type": "execute_result" } ], "source": [ "enrolment.sum(axis=2).loc[cowtown].sum()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Mapping\n", "* Maps are *hard* in NI\n", "* No Open Data mapping between Postcode -> Boundary\n", "* Also doesn't help that ESRI's API's have been broken recently....\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "However... we do get towns and administrative boundaries... from something called the \"Gazetter\"" ] }, { "cell_type": "code", "execution_count": 73, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:23.066972Z", "start_time": "2018-10-15T11:20:23.029293Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "
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PLACENAMEXYgeometry
0acton305600341200POINT (-6.378357832885347 54.30866006639004)
1aghadowey285900420900POINT (-6.657508075752721 55.02810109314576)
2aghalee312300365000POINT (-6.266475501088042 54.52093954801902)
3agivey289900422900POINT (-6.594350521151068 55.04535455095262)
4ahoghill305000401700POINT (-6.365968303625221 54.8520449124516)
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" ], "text/plain": [ " PLACENAME X Y geometry\n", "0 acton 305600 341200 POINT (-6.378357832885347 54.30866006639004)\n", "1 aghadowey 285900 420900 POINT (-6.657508075752721 55.02810109314576)\n", "2 aghalee 312300 365000 POINT (-6.266475501088042 54.52093954801902)\n", "3 agivey 289900 422900 POINT (-6.594350521151068 55.04535455095262)\n", "4 ahoghill 305000 401700 POINT (-6.365968303625221 54.8520449124516)" ] }, "execution_count": 73, "metadata": {}, "output_type": "execute_result" } ], "source": [ "if not Path('data/gztr').exists():\n", " gztr_json=requests.get(\"http://osni-spatial-ni.opendata.arcgis.com/datasets/117e5c3d0f0b41208d1caec1ddbd1330_1.geojson\").json()\n", " gztr = gp.GeoDataFrame.from_features(gztr_json).set_index('OBJECTID')\n", " gztr['PLACENAME'] = gztr['PLACENAME'].str.lower()\n", " gztr.to_file('data/gztr')\n", "gztr = gp.read_file('data/gztr')\n", "gztr.head()" ] }, { "cell_type": "code", "execution_count": 74, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:23.115940Z", "start_time": "2018-10-15T11:20:23.069155Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 74, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "gztr.plot()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### And we have a base map..." ] }, { "cell_type": "code", "execution_count": 75, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:23.404041Z", "start_time": "2018-10-15T11:20:23.118052Z" }, "code_folding": [], "slideshow": { "slide_type": "-" } }, "outputs": [], "source": [ "base_map_zip=\"http://osni-spatial-ni.opendata.arcgis.com/datasets/d9dfdaf77847401e81efc9471dcd09e1_0.zip\"\n", "base_map_shp = \"OSNI_Open_Data_Largescale_Boundaries__NI_Outline.shp\"\n", "\n", "if not Path('data/'+base_map_shp).exists():\n", " urllib.request.urlretrieve(base_map_zip, 'data/_tmp.zip')\n", " with zipfile.ZipFile('data/_tmp.zip') as z:\n", " z.extractall('data/')\n", " Path('data/_tmp.zip').unlink()\n", " \n", "base_map=gp.GeoDataFrame.from_file('data/'+base_map_shp)" ] }, { "cell_type": "code", "execution_count": 77, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:23.541374Z", "start_time": "2018-10-15T11:20:23.406123Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 77, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f,ax = plt.subplots(figsize=graph_figsize)\n", "base_map.plot(ax=ax, color='gray')\n", "gztr.plot(ax=ax, color='b')" ] }, { "cell_type": "code", "execution_count": 78, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:23.617982Z", "start_time": "2018-10-15T11:20:23.544149Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "belfast 44\n", "enniskillen 16\n", "londonderry 14\n", "newry 14\n", "ballymena 12\n", "coleraine 9\n", "omagh 8\n", "dungannon 8\n", "craigavon 7\n", "newtownabbey 7\n", "armagh 7\n", "magherafelt 6\n", "lisburn 6\n", "newtownards 5\n", "downpatrick 5\n", "carrickfergus 5\n", "portadown 4\n", "banbridge 4\n", "strabane 4\n", "bangor 4\n", "ballynahinch 3\n", "limavady 3\n", "ballymoney 3\n", "larne 3\n", "ballycastle 2\n", "antrim 2\n", "lurgan 2\n", "holywood 2\n", "cookstown 2\n", "ballyclare 2\n", "castlederg 2\n", "belleek 1\n", "portstewart 1\n", "fivemiletown 1\n", "portglenone 1\n", "dromore 1\n", "aughnacloy 1\n", "newcastle 1\n", "keady 1\n", "castlewellan 1\n", "randalstown 1\n", "kilkeel 1\n", "maghera 1\n", "crumlin 1\n", "dungiven 1\n", "saintfield 1\n", "carrowdore 1\n", "tandragee 1\n", "bushmills 1\n", "crossgar 1\n", "Name: 0, dtype: int64" ] }, "execution_count": 78, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from scipy.stats import mode\n", "school_towns = reference.minor_xs('town').mode(axis=1)[0].value_counts()\n", "school_towns" ] }, { "cell_type": "code", "execution_count": 79, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:23.633625Z", "start_time": "2018-10-15T11:20:23.619909Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "
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XYgeometry
PLACENAME
antrim315300387000POINT (-6.211523867240925 54.71779842118471)
armagh287600345500POINT (-6.653546587557944 54.35067926584342)
aughnacloy266500352300POINT (-6.976457676904118 54.41494128620327)
ballycastle311500440700POINT (-6.249617934408202 55.20079525328168)
ballyclare328700391200POINT (-6.001860148320316 54.75225829672591)
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" ], "text/plain": [ " X Y geometry\n", "PLACENAME \n", "antrim 315300 387000 POINT (-6.211523867240925 54.71779842118471)\n", "armagh 287600 345500 POINT (-6.653546587557944 54.35067926584342)\n", "aughnacloy 266500 352300 POINT (-6.976457676904118 54.41494128620327)\n", "ballycastle 311500 440700 POINT (-6.249617934408202 55.20079525328168)\n", "ballyclare 328700 391200 POINT (-6.001860148320316 54.75225829672591)" ] }, "execution_count": 79, "metadata": {}, "output_type": "execute_result" } ], "source": [ "school_towns_gp = gztr[gztr['PLACENAME'].isin(school_towns.keys())].set_index('PLACENAME')\n", "school_towns_gp.head()" ] }, { "cell_type": "code", "execution_count": 80, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:23.652058Z", "start_time": "2018-10-15T11:20:23.636281Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "
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XYgeometryschool_count
PLACENAME
antrim315300387000POINT (-6.211523867240925 54.71779842118471)2.0
armagh287600345500POINT (-6.653546587557944 54.35067926584342)7.0
aughnacloy266500352300POINT (-6.976457676904118 54.41494128620327)1.0
ballycastle311500440700POINT (-6.249617934408202 55.20079525328168)2.0
ballyclare328700391200POINT (-6.001860148320316 54.75225829672591)2.0
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" ], "text/plain": [ " X Y geometry \\\n", "PLACENAME \n", "antrim 315300 387000 POINT (-6.211523867240925 54.71779842118471) \n", "armagh 287600 345500 POINT (-6.653546587557944 54.35067926584342) \n", "aughnacloy 266500 352300 POINT (-6.976457676904118 54.41494128620327) \n", "ballycastle 311500 440700 POINT (-6.249617934408202 55.20079525328168) \n", "ballyclare 328700 391200 POINT (-6.001860148320316 54.75225829672591) \n", "\n", " school_count \n", "PLACENAME \n", "antrim 2.0 \n", "armagh 7.0 \n", "aughnacloy 1.0 \n", "ballycastle 2.0 \n", "ballyclare 2.0 " ] }, "execution_count": 80, "metadata": {}, "output_type": "execute_result" } ], "source": [ "school_towns_gp['school_count'] = school_towns.astype(float)\n", "school_towns_gp.head()" ] }, { "cell_type": "code", "execution_count": 81, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:23.774747Z", "start_time": "2018-10-15T11:20:23.654164Z" }, "scrolled": false, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 81, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f,ax = plt.subplots(figsize=graph_figsize)\n", "base_map.plot(ax=ax, color='gray')\n", "school_towns_gp.plot(ax=ax, column='school_count', legend=True)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Points aren't really very good for seeing trends though...\n", "Need some regions" ] }, { "cell_type": "code", "execution_count": 82, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:24.759102Z", "start_time": "2018-10-15T11:20:23.776715Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "text/html": [ "
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Area_sqkmgeometry
constituency
north down115.440659(POLYGON ((-5.535202262588358 54.6429094127538...
upper bann479.692420POLYGON ((-6.272362541809057 54.53315266491968...
east antrim593.040484(POLYGON ((-5.821518715277645 54.8754462316150...
north antrim1386.235791(POLYGON ((-6.429871651099131 55.2386720274860...
south down1249.820808(POLYGON ((-6.079447038790904 54.0473674415929...
\n", "
" ], "text/plain": [ " Area_sqkm geometry\n", "constituency \n", "north down 115.440659 (POLYGON ((-5.535202262588358 54.6429094127538...\n", "upper bann 479.692420 POLYGON ((-6.272362541809057 54.53315266491968...\n", "east antrim 593.040484 (POLYGON ((-5.821518715277645 54.8754462316150...\n", "north antrim 1386.235791 (POLYGON ((-6.429871651099131 55.2386720274860...\n", "south down 1249.820808 (POLYGON ((-6.079447038790904 54.0473674415929..." ] }, "execution_count": 82, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cons_map_zip=\"http://osni-spatial-ni.opendata.arcgis.com/datasets/563dc2ec3d9943428e3fe68966d40deb_3.zip\"\n", "cons_map_shp = \"OSNI_Open_Data_Largescale_Boundaries__Parliamentary_Constituencies_2008.shp\"\n", "if not Path('data/'+cons_map_shp).exists():\n", " urllib.request.urlretrieve(cons_map_zip, 'data/_tmp.zip')\n", " with zipfile.ZipFile('data/_tmp.zip') as z:\n", " z.extractall('data/')\n", " Path('data/_tmp.zip').unlink()\n", " \n", "cons_map=gp.GeoDataFrame.from_file('data/'+cons_map_shp)\n", "cons_map.rename(columns={'PC_NAME':'constituency'}, inplace=True)\n", "cons_map.drop(['OBJECTID','PC_ID'], axis=1, inplace=True)\n", "cons_map['constituency'] = cons_map['constituency'].str.lower().str.strip()\n", "cons_map.set_index('constituency', inplace=True)\n", "cons_map.head()" ] }, { "cell_type": "code", "execution_count": 83, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:24.876134Z", "start_time": "2018-10-15T11:20:24.761133Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "image/png": 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" ], "text/plain": [ " 2009 2010 2011 2012 \\\n", "de ref \n", "1210014 belfast east belfast east belfast east belfast east \n", "1210015 belfast east belfast east belfast east belfast east \n", "1210021 belfast north belfast north belfast north belfast north \n", "1210022 belfast north belfast north belfast north belfast north \n", "1210266 belfast east belfast east belfast east belfast east \n", "\n", " 2013 2014 2015 2016 \\\n", "de ref \n", "1210014 belfast east belfast east belfast east belfast east \n", "1210015 belfast east belfast east belfast east belfast east \n", "1210021 belfast north belfast north belfast north belfast north \n", "1210022 belfast north belfast north belfast north belfast north \n", "1210266 belfast east NaN NaN NaN \n", "\n", " 2017 2018 \n", "de ref \n", "1210014 belfast east belfast east \n", "1210015 belfast east belfast east \n", "1210021 belfast north belfast north \n", "1210022 belfast north belfast north \n", "1210266 NaN NaN " ] }, "execution_count": 84, "metadata": {}, "output_type": "execute_result" } ], "source": [ "reference.minor_xs('parliamentary constituency').head()" ] }, { "cell_type": "code", "execution_count": 85, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:24.988318Z", "start_time": "2018-10-15T11:20:24.902307Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "cons = set(reference.minor_xs('parliamentary constituency').values.ravel('k'))\n", "\n", "en_df= pd.DataFrame.from_dict({\n", " con:\n", " enrolment[:,reference.major_axis[(reference.minor_xs('parliamentary constituency')==con).any(axis=1)],:].sum().sum()\n", " for con in cons\n", "}).T.drop(np.nan)\n", "av_df= pd.DataFrame.from_dict({\n", " con:\n", " available[:,reference.major_axis[(reference.minor_xs('parliamentary constituency')==con).any(axis=1)],'available places'].sum()\n", " for con in cons\n", "}).T.drop(np.nan)\n", "\n", "cons_stats = gp.GeoDataFrame(geometry=cons_map.geometry)\n", "for c in av_df:\n", " cons_stats[f\"av_{c}\"] = av_df[c]\n", " cons_stats[f\"av_{c}_rat\"] = (av_df[c]/en_df[c])\n", "for c in en_df:\n", " cons_stats[f\"en_{c}\"] = en_df[c]\n", " cons_stats[f\"en_{c}_pk\"] = en_df[c]/cons_map[\"Area_sqkm\"]" ] }, { "cell_type": "code", "execution_count": 86, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:25.633321Z", "start_time": "2018-10-15T11:20:24.990721Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "
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geometryav_2010av_2010_ratav_2011av_2011_ratav_2012av_2012_ratav_2013av_2013_ratav_2014...en_2014en_2014_pken_2015en_2015_pken_2016en_2016_pken_2017en_2017_pken_2018en_2018_pk
constituency
north down(POLYGON ((-5.535202262588358 54.6429094127538...76.00.01383170.00.01257283.00.01487749.00.00880767.0...5602.048.5270965675.049.1594565703.049.4020055759.049.8871025940.051.455008
upper bannPOLYGON ((-6.272362541809057 54.53315266491968...1837.00.1807722129.00.2119672308.00.2329672457.00.2524662624.0...9589.019.9898938147.016.9838009602.020.0169939808.020.44643510203.021.269880
east antrim(POLYGON ((-5.821518715277645 54.8754462316150...664.00.101158739.00.113762855.00.133406999.00.1608441085.0...6141.010.3551116217.010.4832646245.010.5304786293.010.6114176364.010.731139
north antrim(POLYGON ((-6.429871651099131 55.2386720274860...994.00.1051631094.00.1163211217.00.1290971263.00.1353991003.0...9313.06.7181939163.06.6099879140.06.5933959126.06.5832969148.06.599166
south down(POLYGON ((-6.079447038790904 54.0473674415929...1378.00.1208031577.00.1408411693.00.1519891857.00.1690952037.0...10782.08.62683710684.08.54842510519.08.41640710504.08.40440510724.08.580430
\n", "

5 rows × 39 columns

\n", "
" ], "text/plain": [ " geometry av_2010 \\\n", "constituency \n", "north down (POLYGON ((-5.535202262588358 54.6429094127538... 76.0 \n", "upper bann POLYGON ((-6.272362541809057 54.53315266491968... 1837.0 \n", "east antrim (POLYGON ((-5.821518715277645 54.8754462316150... 664.0 \n", "north antrim (POLYGON ((-6.429871651099131 55.2386720274860... 994.0 \n", "south down (POLYGON ((-6.079447038790904 54.0473674415929... 1378.0 \n", "\n", " av_2010_rat av_2011 av_2011_rat av_2012 av_2012_rat \\\n", "constituency \n", "north down 0.013831 70.0 0.012572 83.0 0.014877 \n", "upper bann 0.180772 2129.0 0.211967 2308.0 0.232967 \n", "east antrim 0.101158 739.0 0.113762 855.0 0.133406 \n", "north antrim 0.105163 1094.0 0.116321 1217.0 0.129097 \n", "south down 0.120803 1577.0 0.140841 1693.0 0.151989 \n", "\n", " av_2013 av_2013_rat av_2014 ... en_2014 en_2014_pk \\\n", "constituency ... \n", "north down 49.0 0.008807 67.0 ... 5602.0 48.527096 \n", "upper bann 2457.0 0.252466 2624.0 ... 9589.0 19.989893 \n", "east antrim 999.0 0.160844 1085.0 ... 6141.0 10.355111 \n", "north antrim 1263.0 0.135399 1003.0 ... 9313.0 6.718193 \n", "south down 1857.0 0.169095 2037.0 ... 10782.0 8.626837 \n", "\n", " en_2015 en_2015_pk en_2016 en_2016_pk en_2017 en_2017_pk \\\n", "constituency \n", "north down 5675.0 49.159456 5703.0 49.402005 5759.0 49.887102 \n", "upper bann 8147.0 16.983800 9602.0 20.016993 9808.0 20.446435 \n", "east antrim 6217.0 10.483264 6245.0 10.530478 6293.0 10.611417 \n", "north antrim 9163.0 6.609987 9140.0 6.593395 9126.0 6.583296 \n", "south down 10684.0 8.548425 10519.0 8.416407 10504.0 8.404405 \n", "\n", " en_2018 en_2018_pk \n", "constituency \n", "north down 5940.0 51.455008 \n", "upper bann 10203.0 21.269880 \n", "east antrim 6364.0 10.731139 \n", "north antrim 9148.0 6.599166 \n", "south down 10724.0 8.580430 \n", "\n", "[5 rows x 39 columns]" ] }, "execution_count": 86, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cons_stats.head()" ] }, { "cell_type": "code", "execution_count": 87, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:25.768097Z", "start_time": "2018-10-15T11:20:25.635903Z" }, "scrolled": false, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f,ax = plt.subplots(figsize=graph_figsize)\n", "ax.set_title(\"Per Constituency Total Enrolments [2017]\")\n", "cons_stats.plot(column='en_2017',ax=ax, legend=True)\n", "cons_stats.apply(lambda x: \n", " ax.annotate(x.name, \n", " xy=x.geometry.centroid.coords[0], \n", " ha='center', \n", " color='#eeeeee',\n", " fontsize=50*x.geometry.area\n", " ),\n", " axis=1);" ] }, { "cell_type": "code", "execution_count": 88, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:25.781418Z", "start_time": "2018-10-15T11:20:25.771243Z" } }, "outputs": [], "source": [ "def annotate_cons(x, ax=ax):\n", " ax.annotate(x.name, \n", " xy=x.geometry.centroid.coords[0], \n", " ha='center', \n", " color='#eeeeee',\n", " fontsize=50*x.geometry.area\n", " )" ] }, { "cell_type": "code", "execution_count": 89, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:25.926640Z", "start_time": "2018-10-15T11:20:25.783817Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f,ax = plt.subplots(figsize=graph_figsize)\n", "ax.set_title(\"Per Constituency Total Enrolments per $km^2$[2017]\")\n", "cons_stats.plot(column='en_2017_pk',ax=ax, legend=True)\n", "cons_stats.apply(annotate_cons, ax=ax, axis=1);" ] }, { "cell_type": "code", "execution_count": 90, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:25.938936Z", "start_time": "2018-10-15T11:20:25.928334Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "constituency\n", "belfast south 204.103113\n", "belfast north 188.638143\n", "belfast west 168.999917\n", "belfast east 142.627717\n", "foyle 50.799751\n", "north down 49.887102\n", "upper bann 20.446435\n", "lagan valley 11.912162\n", "newry and armagh 11.243427\n", "strangford 10.671039\n", "east antrim 10.611417\n", "south down 8.404405\n", "south antrim 7.097824\n", "north antrim 6.583296\n", "mid ulster 6.462817\n", "east londonderry 5.307115\n", "fermanagh and south tyrone 3.857524\n", "west tyrone 3.768899\n", "Name: en_2017_pk, dtype: float64" ] }, "execution_count": 90, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cons_stats[\"en_2017_pk\"].sort_values(ascending=False)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## But what does it all mean\n", "\n", "Gather data from other sources to put things in context; \n", "\n", "How many people are in each region?\n", "\n", "![](img/pop_cons.png)" ] }, { "cell_type": "code", "execution_count": 102, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:26.136849Z", "start_time": "2018-10-15T11:20:25.942486Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "
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constituencyGeo_CodeMid_Year_EndingGenderAgePopulation_Estimate
0belfast eastN060000012001All persons0827.0
1belfast eastN060000012001All persons11045.0
2belfast eastN060000012001All persons21159.0
3belfast eastN060000012001All persons31032.0
4belfast eastN060000012001All persons41106.0
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" ], "text/plain": [ " constituency Geo_Code Mid_Year_Ending Gender Age \\\n", "0 belfast east N06000001 2001 All persons 0 \n", "1 belfast east N06000001 2001 All persons 1 \n", "2 belfast east N06000001 2001 All persons 2 \n", "3 belfast east N06000001 2001 All persons 3 \n", "4 belfast east N06000001 2001 All persons 4 \n", "\n", " Population_Estimate \n", "0 827.0 \n", "1 1045.0 \n", "2 1159.0 \n", "3 1032.0 \n", "4 1106.0 " ] }, "execution_count": 102, "metadata": {}, "output_type": "execute_result" } ], "source": [ "if not Path('data/cons_pop.csv').exists():\n", " for dataset in odni.action.package_show(id='population-estimates-for-northern-ireland')['resources']:\n", " if dataset['name'] == \"Parliamentary Constituencies by single year of age and gender (mid-2001 to mid-2018)\":\n", " cons_pop = pd.read_csv(dataset['url'])\n", " cons_pop.to_csv(\"data/cons_pop.csv\", index=False)\n", " cons_pop.head()\n", "\n", "cons_pop = pd.read_csv('data/cons_pop.csv')\n", "cons_pop['Mid_Year_Ending'] = cons_pop.Mid_Year_Ending.astype(int)\n", "cons_pop['Population_Estimate'] = cons_pop.Population_Estimate.astype(float)\n", "cons_pop['Age'] = cons_pop.Age.astype(int)\n", "cons_pop.rename(columns={'Geo_Name':'constituency'}, inplace=True)\n", "cons_pop['constituency']= cons_pop.constituency.str.strip().str.lower()\n", "cons_pop.head()" ] }, { "cell_type": "code", "execution_count": 103, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:26.167339Z", "start_time": "2018-10-15T11:20:26.141341Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "
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constituencyGeo_CodeMid_Year_EndingGenderAgePopulation_Estimate
4641belfast eastN060000012018All persons01176.0
4642belfast eastN060000012018All persons11172.0
4643belfast eastN060000012018All persons21164.0
4644belfast eastN060000012018All persons31168.0
4645belfast eastN060000012018All persons41214.0
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" ], "text/plain": [ " constituency Geo_Code Mid_Year_Ending Gender Age \\\n", "4641 belfast east N06000001 2018 All persons 0 \n", "4642 belfast east N06000001 2018 All persons 1 \n", "4643 belfast east N06000001 2018 All persons 2 \n", "4644 belfast east N06000001 2018 All persons 3 \n", "4645 belfast east N06000001 2018 All persons 4 \n", "\n", " Population_Estimate \n", "4641 1176.0 \n", "4642 1172.0 \n", "4643 1164.0 \n", "4644 1168.0 \n", "4645 1214.0 " ] }, "execution_count": 103, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cons_pop[(cons_pop.Gender == 'All persons') & (cons_pop.Mid_Year_Ending == 2018)].head()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### What's the distribution of ages in NI?" ] }, { "cell_type": "code", "execution_count": 104, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:26.231918Z", "start_time": "2018-10-15T11:20:26.169378Z" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 104, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f,ax = plt.subplots(figsize=graph_figsize)\n", "ax.set_title('Population Distribution (2018)')\n", "cons_pop[(cons_pop.Gender == 'All persons') & (cons_pop.Mid_Year_Ending == 2018)]\\\n", ".groupby('Age')['Population_Estimate'].sum().plot.line(ax=ax)\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Constituency breakdown" ] }, { "cell_type": "code", "execution_count": 105, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:28.451476Z", "start_time": "2018-10-15T11:20:26.234242Z" }, "scrolled": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 105, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f,ax = plt.subplots(figsize=graph_figsize)\n", "ax.set_title('Constituency Population Distribution (2018)')\n", "cons_pop[(cons_pop.Gender == 'All persons') & (cons_pop.Mid_Year_Ending == 2018)]\\\n", ".groupby(['Age','constituency'])['Population_Estimate'].sum().unstack().plot.bar(stacked=True, ax=ax)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### That's not a great way of summarising age distributions...." ] }, { "cell_type": "code", "execution_count": 106, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:28.545867Z", "start_time": "2018-10-15T11:20:28.458171Z" }, "code_folding": [ 0 ] }, "outputs": [ { "data": { "text/plain": [ "[22, 45, 67]" ] }, "execution_count": 106, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "def idxquantile(s, q=0.5, *args, **kwargs):\n", " qv = s.quantile(q, *args, **kwargs)\n", " return (s.sort_values()[::-1] <= qv).idxmax()\n", "\n", "f,ax = plt.subplots(figsize=graph_figsize)\n", "ax.set_title('Cumulative Population Distribution (2018)')\n", "pop_cumsum = cons_pop[(cons_pop.Gender == 'All persons') & (cons_pop.Mid_Year_Ending == 2018)]\\\n", " .groupby('Age')['Population_Estimate'].sum().cumsum()\n", "pop_cumsum.plot(ax=ax)\n", "age_quartiles = [idxquantile(pop_cumsum, q) for q in [0.25,0.5,0.75]]\n", "ax.vlines(age_quartiles, ymin=pop_cumsum.min(), ymax = pop_cumsum[age_quartiles])\n", "age_quartiles" ] }, { "cell_type": "code", "execution_count": 107, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:29.151312Z", "start_time": "2018-10-15T11:20:28.549946Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 107, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f,ax = plt.subplots(figsize=graph_figsize)\n", "ax.set_title('Cumulative Population Distribution (2009-2018)')\n", "yrs=sorted(cons_pop.Mid_Year_Ending.unique())\n", "colors = plt.cm.jet(np.linspace(0,1,len(yrs)))\n", "for yr,c in zip(yrs,colors):\n", " pop_cumsum = cons_pop[(cons_pop.Gender == 'All persons') \\\n", " & (cons_pop.Mid_Year_Ending == yr)]\\\n", " .groupby('Age')['Population_Estimate'].sum().cumsum()\n", " pop_cumsum.plot(ax=ax, label=yr, c=c)\n", " age_quartiles = [idxquantile(pop_cumsum, q) for q in [0.25,0.5,0.75]]\n", " ax.vlines(age_quartiles, ymin=pop_cumsum.min(), ymax = pop_cumsum[age_quartiles],color=c,alpha=0.2)\n", "ax.legend()" ] }, { "cell_type": "code", "execution_count": 108, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:29.182177Z", "start_time": "2018-10-15T11:20:29.153752Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "def constituency_age_profile(constituency=None):\n", " # I have a hunch we might was to do this\n", " # with lists....\n", " if constituency is None:\n", " constituency = cons_pop.constituency.unique()\n", " label = f\"Population profile for NI\"\n", " elif not isinstance(constituency, list):\n", " label = f\"Population profile for {constituency}\"\n", " constituency = [constituency]\n", " else: \n", " label = f\"Population profile for {constituency}\"\n", " f,ax = plt.subplots(figsize=graph_figsize)\n", " yrs=sorted(cons_pop.Mid_Year_Ending.unique())\n", " colors = plt.cm.jet(np.linspace(0,1,len(yrs)))\n", " for yr,c in zip(yrs,colors):\n", " pop_cumsum = cons_pop[(cons_pop.Gender == 'All persons') \\\n", " & (cons_pop.constituency.isin(constituency))\\\n", " & (cons_pop.Mid_Year_Ending == yr)]\\\n", " .groupby('Age')['Population_Estimate'].sum().cumsum()\n", " pop_cumsum.plot(ax=ax, label=yr, c=c)\n", " age_quartiles = [idxquantile(pop_cumsum, q) for q in [0.25,0.5,0.75]]\n", " ax.vlines(age_quartiles, ymin=pop_cumsum.min(), ymax = pop_cumsum[age_quartiles],color=c,alpha=0.2)\n", " for i,age in enumerate(age_quartiles):\n", " ax.annotate(f\"<={age}\", xy=(age, i))\n", " ax.legend()\n", " ax.set_title(label)\n" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### South Belfast: Kinky Constituency" ] }, { "cell_type": "code", "execution_count": 109, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:29.825426Z", "start_time": "2018-10-15T11:20:29.184961Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "constituency_age_profile('belfast south')" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Newry and Armagh: Middle Age Mourneing" ] }, { "cell_type": "code", "execution_count": 110, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:30.393167Z", "start_time": "2018-10-15T11:20:29.827522Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "constituency_age_profile('newry and armagh')" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Foyled Again: Cross-generational Brain Drain" ] }, { "cell_type": "code", "execution_count": 111, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:31.064048Z", "start_time": "2018-10-15T11:20:30.395034Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "image/png": 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CQOy9vWG/RgXCEIoKWNiTxvq+WiCxzWGBIwquCJh2Q3gPsFegFfjsW8p9oaO9iOFAUdJ8TvnhHvPJQmMeBB4EGD9+/AH3UUoppdTR1VFTQ/XKldSuXGn3rm3eTCQcBuzRzBRgqMBAFxTEQWpGHElZBldcrz0jPgFwd0EiRFNdRDIcmCwLV2YEZyJIHLgcIVzYIS0S76Q73ksw3ktPQhyBuEQa4gZQTR61ZiBV4Xx2R4qoi+RSF/HT0Z6BaXJi7QtlsYBGuM/WI9ANJiI4wuAIgzME7F/nYIj0YO8XBGKjtUQ4cHiLAgaMZWK9b7GyqN3zRuzuIvRGIXR4N/GFww9wjSLij/W++YGmWHkNkN9nvzygLlaed4DyvsfUiIgL+/tuiZVP+9Qxyw6zvkoppZQ6Qu1VVVS+/Ta7Xn2VXa+/TkfsWZ4OwIe9yCDTAQUe8CdASpYHT0oIR2JsB08QyyeEM1yYbINjQBRnGkgCOF0RHIAVJ4Ti3QTivXQnxNOekMTu+Hx2O4vYHSlkR2Qwu0JF1PUUsKclm2ivExNy2MGsV2Dfa5f9XkJAt8F0YZcFsBd+tse2biBkMBFDNArRiMQCF38PXrFetU+GNWOnM8uCaBSsKFgRMBGwosj+E0QwJoyd2lqx12vuwelso6DAy65dh/ddHG6Aex64EvvuJVcCS/uUPyEiv8RexDAEWGOMiYpIQEQmA6uBK4Bff+pcK4FvAm/GVqe+AtwlImmx/b4K3HqY9VVKKaXUIepsaGDnG2+w/bnnqHznHQJ79gB2eEgDhgIDnJDvhbRkJ75M8Pii9rOjksAkhYhmOLByDA6/wZEDjniDQyJEPRBOcBFI9NKZkEhtop9ybyk7TAnbwiVUhoqp7cqnqT4bK+jCBGPzx3ocELB7zQhi3/2jU+zbsrUDbUCbgY5Yz9q+YdDY/XWJWBCJxrYIRMJgRRCJIBLGmBD2VP4g0Bvbgn22bvZ1wzkchqQkJ75UFz6fi+RkL4mJbhITPSQmuklIcO//OSXFS2FhKoWFBRQVpTJgQBJOpwOR6w7ruzmY24j8D3ZPWKaI1GCvDF0IPC0iVwFVwLcAjDHlIvI0sBm7c/H7sRWoAN/j77cReTm2ASwGHosteGjBXsWKMaZFRH4MvB/b7859CxqUUkopdfT1BgLsfvttKv7yF3a9+iottbXA3wPbQIF8F+R5ITnVSVKmhSvJ2L1rCVGsNIjmCI6BBskD8YHTaRGJd9Cd6KErKYGmxEw+iBvJBhlLeXAUOztLqGwtIlLnxQQFgg67p6wNpFMw7UC72OGsJbYFYlsvsSFJC0IRCIWQSBCJdCF0E43uu79bZ58tSCzJkZTkIH2Ai4wMLxkZCaSnx5OeHhd7jSctLZ7k5FR8Pg8+n5ekJA8+nyf26sXrdWKvuzz+ZN+y3ZPF+PHjzdq1a/u7GkoppdQJob2qis3/8z9s/tOfqC0vxxiDA0gFMgUK3VAYB6lpLuLTIziSAB+YRDAZwABw5AEFYLwQSXAQ9HkJJCVQlTSQVZ6JrA+P5+PACLa1D6UtkGb3onU77N6yTrEDWiuwB3tSVh127goRC2lR6O2FUA/0toG1r6utFWhFpIPMTAdZWR6ysxPJyIiPbQmfeE1Pj98f1NLS4nC7ncf/gn+KiKwzxow/1OP0SQxKKaXUKcQYQ+OGDXx4//1UvPQSzbF5bAnYd+cvcMOgOEjPchGfHsUZbyAZTELEfn6nH6QQJN++31rQ5ybgS6DKl8c7cVNZE5zEx+0jqKgbRrArETod9rSvDofde7YXaDBQLfbPQaDXgt4w9HZDqB2sVvbtnJzcTmGhg6KiJAoKksnLSyY/P5n8/MEMGJBEVlYCKSlxOBz90xPWXzTAKaWUUqeAxrVrWbtwIVv/9jcCseeGpgAjHTAsHvJyPPiyIzjjLMQHxhuB9FhgKwIKIZLkoDs5jkZfFu8lTOaN0Ay2dIxia2Mp3RU+aBZoFft1X0/abuyOsh4LenqhpxNCrWDsCf1u916Ki8OUliYxaFAqxcWpFBWlUlw8kMLCFHw+b79cry87DXBKKaXUSWrvBx+w9s472frK32jr6gbsG61O9EBpqoMBeeBNspBkMN6Qnej8QCFIMYRSnXSkJFHuG85zMpf3Oyazee9I2rZn2gGtxWG/1gM7gUZiQa0betog2ASmCZFGCgp6OX1CMqWlGQwZks6QIQMoKRmB35/Ub/PITmQa4JRSSqmTSMeuXay9tYzNL7xAc7f9JIJUYLwHTssVBvoNjlQg3sKkADlAAcggCKc6aEtNZn386TxjvsW7zeewY+tQontc0OyABuylixXYvWrdYehuh2AjWHV4PHUMHx5m9Oh0hg/PpLQ0k9LSsZSUpOPx9P98s5OJBjillFLqBBdsbWX9gv/koyeeoKG9A4O9MHRMPIz1Q14BSCqYJAMDgAJgEFjpQluKj3VxZ/B0eB6vNs6mekUBNDvtXrUqYCvQZkFXN3S3QLCW+PhGRozoYsIEHyNGZDF8eCbDh09k4MDkU24uWn/RAKeUUkqdgCKhEOU//xkbfv0rqhv3YGE/173Ua4e2QcOwn12Vg30r/BIw2dCZmsAH8aN5vPdSXqj+BnVr86HeAZXYYW2vscNaVzMEd5OX18pZZ8HkydmMHJnFyJEjycmZqMOe/UwDnFJKKXWCMMZQ+eyzrPmv/2RnxXZCxn5kVbELTs+BESPAkQsMBBkMFEOvz8VuXz7PReayZNe/sGXFaHsF6FbseWtdvdDVCl27yc5q4KyzDFOnDmDChFzOOGMSCQnufm2zOjANcEoppdSXXEv5R7z9ve+wfeX7dEcsHIDfAaMyYcxo8A6zb+3BcPtGus3JqbwnZ/LH6n/ljdfPo6ciET4AmizoaofOGtJ9dUyeHGT69EzGjfMzduzppKRM6ueWqoOlAU4ppZT6EgqFg7y74Hoqfv8YTR32YoQMgbHJMG44pIwDGQbWKOjKjmOzdxh/avhn/rxiHnVr8mEj0BqCzmac4Q8ZWdrGhVfGMXVqPpMmDSYtbVT/NlAdEQ1wSiml1JdEN72sfu1xdl93G00f19MDeICRXpg0CPK+AjIKwmdAXU4WL3efz0Nrr2H9gxOIrHdBWw8EGvB5l3HO2UEuuCCTM8/MZ+TISTidjv5unjqKNMAppZRS/WgPHbzXW07r928l8vi7NAQtDJDlgLOyYPxUcE2B7ike1qYN59Ed3+YvT3yLutcHQnsXBGrJSXuH2edHmT17IF/5Sj4DBw7q72apY0wDnFJKKXUcWRgqaeJtKqhb/iJDvvt7ara0EcD+ozwiAb5yGgw4D9rPSuCFpHN56O1rWPZv0wk2WLHAtoXvXriZr3+9kLPPLiQ1dVh/N0sdZxrglFJKqWMsTJTNVPMWFewMfczU25bg/e0G6DJsAVIEpg2ASXOgY2Y6j7su5XeP/V8qflsIgVoyfbu55Gtvc8EFBUybVkRWlga2U50GOKWUUuoY6CLIeipZxlaazA78tTuZcOmjeFcE2GKBAAVemDIOsi9N4hHXv3DJb/+dxkchPWEns8+v4s5fW5xzThEDBgzt7+aoLxkNcEoppdRR0kKA1ezgXSroNJWkSSsTnnsT/u/7bGkwrAC8wNgMmHiJk5cHzGPmIzfQfEuQmTO6+PkPO5gxYxC5ucX93RT1JacBTimllDoCDbTxDltZxTai1JJKG/5wA1/59//l44fb2NgLUSDDAVNLITr3dG5+/lrMej+XXprJq38tZvjwTH2ygTokGuCUUkqpQ9RIG2/yMavMdiypJ50W8mhl5I5NZP/zatatjvJCbJi0OB5O+2o8z/mu5NXiucw8bwRv3z4Qt1sf7q4OnwY4pZRS6iC00smLfMQas51eaSaNVvzSSoa1l7OefovmH9azvgZWYf9xPS0L0r41hsh5d1E87VxuT/b2dxPUSUQDnFJKKfUZIkR5jQpeM+W004BPOkmjjQzTTH73bib8ZDnl93fzYgA6gXiBycNcjPzFf5E3+1Zw6HNEP0s4HKampoZgMNjfVTku4uLiyMvLw+0+Ov9NaIBTSimlPmU9DfzZbKSOKjzSQwptDKGFNNPK6TUfkH/dJla/ZHgsBCEg1QVnTfRwzp9X4xwwpr+rf0KoqanB5/NRVFR00s//M8bQ3NxMTU0NxcVHZ4GKBjillFIK6CLMI+ZDVpkteB3txEk3fhMg2zTiN/WMX/U+8oMGlm+E1yywgNwEOOsHc6norqXT4dTwdgiCweApEd4ARISMjAz27Nlz1M6pAU4ppdQpbY3Zw++jGwg5dxMnQTIJkGq1kyMNDA1vZfRzG6m9uZfXq6HB2AsTSrI9TLvvZ+TOvx6Aihsm928jTlCnQnjb52i3VZ9sq5RS6pTTYyIs6NnCNyJP8zt5hjjXJvymjuHWx0zgfeYG/szlP38U54DVPD6/l6VV0GzgjNJsrl+3nMsae/eHN3Xiqq6uZvr06ZSWljJy5Ejuu+8+AFpaWpg1axZDhgxh1qxZtLa27j/m7rvvpqSkhGHDhvHKK6/sL1+wYAH5+fkkJSUdl7prD5xSSqlTxrLOAIsiG0hJ2UlSfCeDTAe+aAfZzj0UWLsZtWcTybc3sfJP8Eo3BIEkB0ybNZbJj7+MNyO7v5ugjiKXy8U999zD2LFjCQQCjBs3jlmzZvHII48wY8YMysrKWLhwIQsXLmTRokVs3ryZJ598kvLycurq6pg5cyYVFRU4nU4uvPBCrr32WoYMGXJ86n5cPkUppZTqJ/UdFtc3VNOW/wH+xDqKpIcU005GpJlUZyslwR2cVruJ4PVdvPcGbAvbN97N8grnX/NPnHbPHxGn3rPtZOT3+/H7/QD4fD5KS0upra1l6dKlLFu2DIArr7ySadOmsWjRIpYuXcr8+fPxer0UFxdTUlLCmjVrmDJlCpMnH99hdA1wSimlTjqBIPx+U5DH0z+iuKiCtKEt5JoAPquTbGki2bQzJryVQSvKqbsuyvOboNoCAxSluDnnnp9TdJUOkR4vN9zwNzZubDiq5xwzZgD33nv+Qe9fWVnJhg0bmDRpEo2NjfuDnd/vp6mpCYDa2tpPBLW8vDxqa2uPar0PlgY4pZRSJ4VwFF4qN/znlibSz/+QwvG7mSDdpJg20sOtJLs7yI62M5ZN+JdWsPVmeGw37DHgBEYM9HHOY0+RNX12fzdFHWednZ1cfPHF3HvvvSQnJ3/mfsaYfyjrr4UYGuCUUkqd0HY1G76/pIfNX6lhxNhNTDytCS+9+KIdDIg2Eu/pYYSjg8E9q0h/sJaPfgov7YEWwANMOi2Ps559mcQho/q7KaesQ+kpO9rC4TAXX3wxl19+ORdddBEAOTk51NfX4/f7qa+vJzvbnvuYl5dHdXX1/mNramrIzc3tl3prgFNKKXXCiVpw91NBFn0UJv/ftlF6wxZmOtpwm16Sgl0UuGtwSy/jXHvJ71hBwh2tfPgwPNcBrUCcwNnTT+crT76MJ8vf381R/cQYw1VXXUVpaSk33njj/vI5c+awZMkSysrKWLJkCXPnzt1fftlll3HjjTdSV1fHtm3bmDhxYr/UXQOcUkqpE8bba3q49JcW7V8LUTq3nK/N345PuvCYIOldAfwJtcR7Q0ywqvHvXY3nlm7WPwUf9EAbEO+Acy+aweSHn8GdktbfzVH9bPny5Tz22GOMHj2aMWPsmzDfddddlJWVMW/ePBYvXkxBQQHPPPMMACNHjmTevHmMGDECl8vF/fffjzO2wOXmm2/miSeeoLu7m7y8PL7zne9w++23H7O6y4HGc09k48ePN2vXru3vaiillDpKKit7+ddbO3grkkzaD1oYOXkTBZ5q4ukhLtrDINOO19VAuullXHQrOdUbcfwwzNq/wge90A4kuGDqv17ChF8uxpWYeNTr+HzsRr5z7l111M99stqyZQulpaX9XY3j6kBtFpF1xpjxh3ou7YFTSin1pdPQEOLOH+/lDysS6T07kazbejh3+GpynfWx+W3dDJNmos69+E2IMZEPyCovR26xeH8ZbOyFDiDRLZx/3b8x7if/D1dcXH83S6mjRgOcUkqpL4WeniiPPtrEHT/rod6fj1yURe4tVYwa+CYDnI14CJEe7WGQo5Gws51808uIyJ/dD8oAACAASURBVFpyNlZg/dCwZgVsDEEASPI4mH3LfzDutp/g9Hj6u2lKHXUa4JRSSvUbyzK8+mozd9xRw6rdfpiYg/NHYYpnb2NkZjmZshcPIQZGgwxw1hJxdjLYhCgJLydrTSVmAaxeCRtiwc0X5+KC/7qNM374nzjd7v5unlLHjAY4pZRSx11ra4gFCz7mD48aegcPgYmn4b4lyKBpHzI8ZQsZ0oLbhBligiTKbixnL8NNiKLQ22StqMH8CFav7hPc4t1ccMePGfvv/4HDpX/a1MlP/ytXSil13Lz4Yg233baDjdvyYMII+J4T7/mdDJm0lqGJFaTSjpswI003LtmNEGGMFSQv9CZZbzcQvQtWreob3Dxc8JO7GHvd9Rrc1ClF/2tXSil1TAUCvdx660aWLOmi0zcaJp4FXxfiZ7cz/IxySuJ2kCwBPCbMafRgyS5cWIyzOsntfp2Mt5qJ/hLeXwVrg/aq0qR4byy4XafBTZ2S9L96pZRSx0R5+V6uv/4D3njLB8NHwtxEGA5Js5sZPmozg707SaKLOBNhjOmmV3biMobx1l78nctIf62d6G9hw0pY02M/OSHB62H2j3/CuBtu0Dlu6ohVV1dzxRVX0NDQgMPh4Oqrr+b666+npaWFSy65hMrKSoqKinj66adJS7PvG3j33XezePFinE4nv/rVrzjvvPPo7u7mW9/6Fjt27MDpdHLhhReycOHCY1p3DXBKKaWOGmMMzz67nbKyXeysGgSjz4IrPTDcIuVrTQwfupkiz26S6CLBRDmDLrplB05jOCdaQ07XctLe6CL6AGxaDqu7oQnwul3MKCtj8n8u0NuBqKPG5XJxzz33MHbsWAKBAOPGjWPWrFk88sgjzJgxg7KyMhYuXMjChQtZtGgRmzdv5sknn6S8vJy6ujpmzpxJRUUFADfddBPTp08nFAoxY8YMXn75ZWbPPnbP1dUAp5RS6oh1d4f48Y8/5De/6aIzUgpjZsJ0B4yKkvq1ekqLN1PoriKRbpJMhDHSSZfswmminBvdQXbP+6S8EcQ8CBXvwooA1AJup4Op1/6AqT/+MV6fr7+bqU4yfr8fv99+lJrP56O0tJTa2lqWLl3KsmXLALjyyiuZNm0aixYtYunSpcyfPx+v10txcTElJSWsWbOGKVOmMH36dAA8Hg9jx46lpqbmmNZdA5xSSqnDtmNHO9ddt5G//c2HlTAcxibBCGB0lLTz6iktLKfQVUUCPSSbCKdJB12yG48Jcaa1lazuDfjeCcNDUPU2LG+DSgARxl9xBdPvuYeEjIz+baQ65m64YScbN3Yd1XOOGZPIvfcOOuj9Kysr2bBhA5MmTaKxsXF/sPP7/TQ1NQFQW1vL5MmT9x+Tl5dHbW3tJ87T1tbGCy+8wPXXX38UWvHZNMAppZQ6ZM8+W8WCBdupqMiH5Mkw3QvDgDOipM1sZEReOQWuahLoJt2EGSEddEkVCSbI1Gg5mT3lJK2IIIuh4Q1Y0QrbDISB4ed9la8+8DvSiov7u5nqFNHZ2cnFF1/MvffeS3Jy8mfud6DHj4rI/veRSIRLL72U6667jkGDDj48Hg4NcEoppQ5KV1eI//7vTTz0UIBAYDCknw3nuezgdnqUtJkNjBi4mQKnHdyyTC9DpIUeaSDFdHF29AMye7cRvzqK8zFo+RusboLNFnQDeaefzuyHHyZ3/CE/FlKd4A6lp+xoC4fDXHzxxVx++eVcdNFFAOTk5FBfX4/f76e+vp7s7GzA7nGrrq7ef2xNTQ25ubn7f7766qsZMmQIN9xwwzGvtwY4pZRSn2vDhiZuumkTb73lxpgSyBoDZztgqMBpUdLPrWfUwHLynDXE08MA002RNNMre8k0QUZF15LZu524dRbup6DzJdhYAxsi0Aqk5w1kzgO/Y+gFF3yiN0OpY80Yw1VXXUVpaSk33njj/vI5c+awZMkSysrKWLJkCXPnzt1fftlll3HjjTdSV1fHtm3bmDhxIgC33XYb7e3tPPzww8el7hrglFJK/YNo1OLRR7dw++07qKrKBEbAgByYKDAkFtym1XPawE3kOWuII4jfdJMvTYSkjQEmRGl0LZnhbSRsjOL6C/S+CB/sgjVBqAfiEhOZvXAh46+5Ru/lpvrF8uXLeeyxxxg9ejRjxowB4K677qKsrIx58+axePFiCgoKeOaZZwAYOXIk8+bNY8SIEbhcLu6//36cTic1NTX89Kc/Zfjw4YwdOxaAa6+9lu985zvHrO76f4xSSqn9urpC3HffBn72sxra2/NBJkFeFkwQGGQHt8xz6zjN/wEDnXV46WWg6WagNBCWdvKMRUl0NVmRHSRsDuN+EaJLYcfHsKrLXqBgHA4mf//7nHPnncSlpvZ3k9UpbOrUqQec1wbwxhtvHLB8wYIFLFiw4BNleXl5n3meY0UDnFJKKerrA9x11xoeeqiZ3t5BIGdDfiZMBIoFRkXInlHDaf5N5MaCW77pIUfqCEsnecbFYGsNWeFtJGwL4XkDeB4aN8D77bDZQBAYOns25/3616QPHtzPLVbqxKYBTimlTmG7drWyYMEKnnqqE8saCjIGCjJggoFiQUZFyJlZzegBH5LrrMdNmCITJEuqCUsX+SaJwdYGMsObSazqxb0MHC9C+2rYtBc2RqEZyBg8mEsefpiiadP6ucVKnRw0wCml1Clo27ZmyspW8NxzPRgzDBwFUJBmB7cikNOiDJhZzegBH+B3NOAiQpGJMECq6JV28k0ag633yYh+QEJDD953HThehZ53YEc9rO+F3YAzPp6v/vSnTLz2Wn30lVJH0REFOBH5d+A7gAE2Af8CJABPAUXY0x3mGWNaY/vfClwFRIHrjDGvxMrHAY8A8cBLwPXGGCMiXuBRYBz2P+IuMcZUHkmdlVLqVPbxx3v54Q9X8Ne/hoChdnDLT4WJBgpBTo+Sc241o/ybGOioiwU3GChVdEsL2SaZodYOMqPvk9jajec9F87lEHndomYXrO+ErdjDpaMuvZSv3nMPvtgNUZVSR89hBzgRGQhcB4wwxvSIyNPAfOx7cL9hjFkoImVAGXCLiIyI/X4kkAu8LiJDjTFR4AHgamAVdoA7H3gZO+y1GmNKRGQ+sAi45HDrrJRSp6pNmxr54Q9X8corUaDEDm65seBWBDImQtbMOkbmlJPnqMFDiALjoEgaCEgDySQx0aonM/I0vq4A3pVunO8Db0RoKYfNbbDJsp9bmjVsGPMffJDCs8/u30YrdRI70iFUFxAvImHsnrc64FZgWuz3S4BlwC3AXOBJY0wvsEtEtgMTRaQSSDbGrAQQkUeBb2AHuLnA7bFzPQv8RkTEHO+lHkopdYJau7aOm29exVtvCXZwywd/KjLBYAYBp0fInlXP8Owtsfu4BfEbYajspUNq8JLAGKuNzOhfSAm24tngwrUW5O0wwXWwYw9sDsE2hwPL7eTcO+7gzJtu0uFSpY6xww5wxphaEfkFUAX0AK8aY14VkRxjTH1sn3oRyY4dMhC7h22fmlhZOPb+0+X7jqmOnSsiIu1ABrC3b11E5GrsHjwKCgoOt0lKKXXSeO+9KsrKVrF8uRsYYge37FRkosGUgDk9Ssb0JobmbqHQaT9kPsvACGmlQyoR4pliQmRGnic9vBfPVifuNSBrI1jvQnUdbAvAFoeDZiwKzjyTCx9+mMxhw/q76UodtOrqaq644goaGhpwOBxcffXVXH/99bS0tHDJJZdQWVlJUVERTz/9NGlpaQDcfffdLF68GKfTya9+9SvOO+88AM4//3zq6+uJRCKcddZZ++8Rd6wcyRBqGnYPWTHQBjwjIv/0eYccoMx8TvnnHfPJAmMeBB4EGD9+vPbOKaVOWW+/XclNN61k7VovMBykAHJiwW0ImNMtUs7ey5DcrRS7K0kmQIoxjJFOOmQ7EeKYZLykR/+XrEg97iqDd5UT2RKBdyCwDSpaoSICO5xOnPHxXPDznzPu6qsRh6O/m6/UIXG5XNxzzz2MHTuWQCDAuHHjmDVrFo888ggzZsygrKyMhQsXsnDhQhYtWsTmzZt58sknKS8vp66ujpkzZ1JRUYHT6eTpp58mOTkZYwzf/OY3eeaZZ5g/f/6xq/sRHDsT2GWM2QMgIn8BzgQaRcQf633zY0+JALtnLb/P8XnYQ641sfefLu97TI2IuIAUoOUI6qyUUiel996r4qablrN6tQcYYQe37DRkssEMBjPakHRWM4Pyt1Hi2UkabcQbmCi9BGQLQdyMM+mkW0vJjlQS1xzCs9KLY2svrLaIboTdzbCjC7Z4PLQSYsj553PBAw+Qkp//hfVT6svI7/fjjy2y8fl8lJaWUltby9KlS1m2bBkAV155JdOmTWPRokUsXbqU+fPn4/V6KS4upqSkhDVr1jBlyhSSk5MB+4H2oVDomD8W7kgCXBUwWUQSsIdQZwBrgS7gSmBh7HVpbP/ngSdE5JfYixiGAGuMMVERCYjIZGA1cAXw6z7HXAmsBL4JvKnz35RS6u9WrqzmppuWs2KFCxiOOAoxmenImbHgNtwQP7WdwqIdDI3bTqZpxm0MkwV6pZxOIow2A8iyXiIruoX47iDedQk4PwrB5l5YDm0NsK1D2B427HC5cCck8H8WL2b05Zfrs0vVUXHDDbBx49E955gxcO+9B79/ZWUlGzZsYNKkSTQ2Nu4Pdn6/n6Ymuy+qtraWyZMn7z8mLy+P2tra/T+fd955rFmzhtmzZ/PNb37z6DTkMxzJHLjVIvIssB6IABuwhzGTgKdF5CrskPet2P7lsZWqm2P7fz+2AhXge/z9NiIvxzaAxcBjsQUPLdirWJVS6pS3Zk0tN930Hu++6wCGgBRCdiZmsoHBYIaA98wAA0t2Myy+ghwacRqLSeLGwRa6CDCUXPzWKrIiT5IU7sS9NRH3OoNUdcEKB5GPLXa1C5Vdho/j42gJ9zDkq1/lwocewpeb29+XQKmjprOzk4svvph77713f0/agRyoD6nvP2JeeeUVgsEgl19+OW+++SazZs06JvWFI1yFaoz5EfCjTxX3YvfGHWj/nwI/PUD5WmDUAcqDxAKgUkopWL++nptvfhf7MY2DYnPcsu1HXg2yN/eZ3eQMrWZYUgW51OOREKOII52dBGgij2yKzV5SI78jPboXV50X7yoX7O5EtgqsMrTusdjW6WRX2GK7243T7WbO/fcz5tvf1l43ddQdSk/Z0RYOh7n44ou5/PLLueiiiwDIycmhvr4ev99PfX092dn2esy8vDyqq6v3H1tTU0Pup/4xExcXx5w5c1i6dOmXN8AppZQ6Pj74oIGysnf5298iwGA7uA3IgfHYzyotMLgm95Ixso4hyRXkSy0J0kMhHgbTTisb8ZDKmSaepOifyIk24ApYxK3z4djcYc88Xu0ksiNKZcBBZcBia4KXvaFuBk+fzoUPP6xz3dRJxxjDVVddRWlpKTfeeOP+8jlz5rBkyRLKyspYsmQJc+fO3V9+2WWXceONN1JXV8e2bduYOHEinZ2dBAIB/H4/kUiEl156ibPOOuuY1l0DnFJKfYlt3ryHW299m+efDwJDgULIyoYJwCCBgQbXpDDJo5oYlL6DIuduUuggDRfjCNHMBoIkMNEMIMF6Dn9kF3GhIJ5t2bjWN0JDB2zxwNoQbc1RtnV72NkTYrvbjcPh4Ou//z1jv/td7XVTJ6Xly5fz2GOPMXr0aMaMGQPAXXfdRVlZGfPmzWPx4sUUFBTwzDPPADBy5EjmzZvHiBEjcLlc+28V0tXVxZw5c+jt7SUajXLuuedyzTXXHNO6a4BTSqkvocrKNm699W2efLIDGAYUQVqW/WDBIQK54J4QwTuqlaLsXQxy7yLTNBNn4ExxEGAjbVicwWCSrNfJiq4nOdKOqyEdz7oIUtkIDcBqJ9EdIXZ3u9jZHmFrvJO9QPHZZzNn8WJSCwv78zIodUxNnTr1gPPaAN6w5yn8gwULFrBgwYJPlOXk5PD+++8f9fp9Hg1wSin1JdLQ0Mltt73LH//YgmWVAFMgJQvGAEMF/OAZYyGnBcgbuJshcTsYYBpxmghTJBEHH9FGO0MZQo75mKTor8mONuEIeIjflI5sabafLF2RBO930rE3SkUwjp1dQba73eBwcMEDDzDu3/5Ne92U+hLTAKeUUl8CLS093HnnCu6/v4lIpBg4A3w59vKu4XZwc5cazJhucoprGZywgzxq8dLLCEkmlyqa2UgWfiaYBBzWw+RGanBHevHuLsG1cRvU9MBeL6yOYu3oZHdnrNctDvYARVOnMmfxYtKKi/v5aiilvogGOKWU6kd793Zz110ruf/+JkKhQuBsJNGPGSIw2h4qdQ0yRMf0kjasgSJfJQVSTYp0kE0i44nQwDt0kcCZlCLWc2RGNuGzArhaCvCUtyJbt9k3YtqZDqtbCOyFimA8Ozt72BbrdZv9m98w4Xvf06cpKHWC0ACnlFL9oLGxk7vvXslvf9tAOFwETMURn4tV5MCcJjAQHPkGGRshafhe8tOrKHRVkW324BUn00mlgzU00M0oRpJs1pEU/TM50UYcvfHE7xqO46MtUAs0J8CaENb2Fqo7nWxvt9jqsdgDFE6Zwpw//IH0wYP794IopQ6JBjillDqO6usD3H33Cn73u/pYcPsKrrgCIgNcWGOBPJAB4B0bhWEd5PurKPBWk2/qcRJikmThYytNvM9AChlCLyHrQfIjNcRZnXj2nIGrfDOyfSu0AruzYOUeuvbYvW47Aj1UeDwYh4Pz77uPiddeq71uSp2ANMAppdRx0NzczcKFy7nvvirC4UJgCp64IkJpXqJjgSIgE3xjLLqH9JBZVEdBQhUF1JBIJ4WSwulYVPMaPfiYymhC5i8kRrZSaO3FEcwhbkchjo/X20+RbvfB6iCmYg81AQc7OmCL26IJyB8/nrmPPELGkCH9eUmUUkdA/9mllFLHUCDQy513vk1+/mP84hcW4fAkvHFnQsYwol/xwNfBjIbkKQa5oBfvObWMHv4BYxI3UspWMiXEBWSQy/vUsI7TGcd4upDobxgaWk9WdA/eprOJX92KY9Vm2AnsyIHnA3R/GObD9gTWt1ms9nhoNoZZP/85337nHQ1vSgHV1dVMnz6d0tJSRo4cyX333QdAS0sLs2bNYsiQIcyaNYvW1tb9x9x9992UlJQwbNgwXnnllX8455w5cxg16h8eLnXUaQ+cUkodA8FghAceeJ877thIe3s+MBFv3CB6PSlERxkogWi2kDDI0DsiSmRoO0MzqhjoqaPQ1OEgxJmSSxJbqGM1uZQwknhazR9JjVSRbjXh6B1C3M4EZOtbUCXQFg9ro5iPG6nrEHZ1OtjmjFIFZJeUcNHjj5Nz2mn9fWmU+tJwuVzcc889jB07lkAgwLhx45g1axaPPPIIM2bMoKysjIULF7Jw4UIWLVrE5s2befLJJykvL6euro6ZM2dSUVGB0+kE4C9/+QtJSUnHp+7H5VOUUuoUEY1aPProB9x660oaGwcA4/F4Cgk5s4gMBYZDxC+4c8E92qJ3UDe5A+sYmFBDEbUk0kG+pDMZw05ewcLL2UwnwgsEo+sYHmnEZXrw7j0P58fLkO0h+75uddmwvJFgPWzrjaemvYctSfEEOjuZfOONzPjpT3HFxfXz1VHqy8Xv9+P3+wHw+XyUlpZSW1vL0qVLWbZsGQBXXnkl06ZNY9GiRSxdupT58+fj9XopLi6mpKSENWvWMGXKFDo7O/nlL3/Jgw8+yLx584553TXAKaXUUWCM4cUXt3HTTcvYujUZOAOnM///s3fn0VVW98LHv8+ZM8/DCUnISDgJCSEDAWUIQoAqghKNCFVqUW/trcOLreUW2957e8twWxW9UocWJQISQVGcUZFBZshAIDMZzzkZTuY5Z3zeP8LN29uX9tYqBnR/1srCbJ+9/Z3fcrF+Zz97AHUY9rDRI0GckSD5g1+qTHeEDe/YduK9zOgVzYTTilZSsog4+jnGJVqIJ40o+umSf0+EowNfVzMKewK6Wm+k6o+gSQk9aijRQlkb7T1waUhDveykVqnEw8eHe955h5j588c7PYLwNz32FJRUf71jpk6CLY///c83NDRQXFxMVlYWbW1tY4WdXq/HYrEAYDabmTFjxlif8PBwzGYzAL/85S95/PHHcXd3//o+xN8gCjhBEISv6NQpE48//hknTiiAyUjSBDS6KKw+SpSpIEcBPhCcLGOJcDIS30ecv4lgrYV42YRSGiSVcCbRQzVv4okfC7iZAXYy4rxAoqMdpTyItvtWlFWHkGqqRk/ebQ2E4204mqHO7o6xe4hKbx0dfX0k3nknS158ETd///FNjiBcBwYGBsjNzWXLli14e3v/1eeudO2WJEmUlJRw6dIlnnnmGRoaGq5ipP+PKOAEQRD+QdXVnfz85wd5551eFIo4IBhPrzgGlFrkqUAMOP3APxYGo110xQwTNqEVvUcL4bQRRBueko4lJGDiE6rpJoXZ6GmjXf4PIhxd+LmMSI4E3Br0SNX7oUEFXUood4fzbfT1QLXdk6aBIap0OnC5WLZ9O1PvvVdchSVcN77MTNnXzW63k5uby6pVq1i+fDkwerdpS0sLer2elpYWgoODgdEZN6PRONbXZDIRFhbGyZMnKSwsJCoqCofDgcViITs7e+w17NUgdqEKgiB8SRbLID/5yYcYDAW8+64vkI6XVzq4J2FP0MIisE0DtzgImivTlWlDk9nB5NhKYj1rSaeGQKmVGcRwC0oqKUCFmpu5HXfeYcD1JxJtjfi5TGh6b8etqAPp9CGoBMx+cNCO6/QAjX1uFHdJlMoSF1wuglJS+KfiYlJXrxbFmyD8HWRZZs2aNRgMBtauXTvWvnTpUvLz8wHIz89n2bJlY+0FBQVYrVbq6+upqalh+vTpPPTQQzQ3N9PQ0MCxY8eYNGnSVS3eQMzACYIg/N2Ghuw888xJNmwoYmgoGsjAyyuaAVsQQyFAPNhiAHeIyYQ6Xydy/BARAS2EuLcRgwUvWvGRPLmVKdTzEVV0MpV5hGGhRf4V4c5u/J2NKJxR6Iw3oKh+C+rU0CVBnS8UtjPSCdUuX0wdPVR4eTEwMMDs9euZ++tfo1SrxzlLgnD9OH78ODt27CA5OZnU1FQANmzYwLp168jLy2Pbtm1ERkayd+9eAJKSksjLyyMxMRGVSsXWrVvHdqB+06Qrvc+9nmVkZMjnzp0b7zAEQfgW+e+dpb/4xRe0tgYDEWi1E0ARic1PQpkg4YwF2RsiE8ESIuOIsuIe1kOMjxEvZTdJNGNnkDkkEEEL5RzBh2BuZC7dbAPXBWIdXajkDtQDy1BXFyLVNEEz0O0PhT1QC5YBiUv9KuqBOocDrwkTuH3HDibOmTPOWfpue/ex0YXtS7ecGudIrh8VFRUYDIbxDuMbdaXPLElSoSzLGV92LDEDJwiC8DccOdLAI498QmmpCoUiFYUiCC+vWHplDW5JIE8Ehx58gsBrikyTjxO3+CEifMwEuHcQL3fgQQueeHA7U6nlA8rpIIV5RNBHs/wkYc4eAp2NKFyh6JrvQFG1B2rVo1dhmYKh0DK6UUH2obGjl0ovd7r6+0leuZLvPf88bn5+450mQRC+YaKAEwRBuIK6um5++tNPefttC0rlZCAAX994ugY8cUQDerDFg6SDpCy4qHFhi7fhE9xDnHcT7opeUmhhROpnJvHE0k0x+XgTwC3cTQ+v0OEqweDoQSO3oBq+GU1NHVLNntGrsPo9oXQIKjvo64Iquxf1fX3UaDSolEpyd+9myooV45wlQRDGiyjgBEEQ/kxfn5UNG77g6adLcbnigUx0uigGh4MZ9pVQJcNwHOANUQnQqZcpD3DgHjtMqHczfu4dJMhdeEgmtLhxN+k08SEXaSaRWcQiY5LXE+TsRu9sRJI90VlWoawsgEsy9ABdE+FUI3KjhNGq41LnCFU6BxZZJnrWLJZt345PRMQ4Z0oQhPEkCjhBEARG17lt317CunVH6egIAaaj0+lHizelAl2mzPAECcVEcPeEmCwoxYWPwYqnby+TfIxoFX1Mo4VhqZd0YpnCCKW8ig5PFrGSYQpolU+RYO9DJxtR2ueivTSCdGkHNCphyB0uaaCokWEL1Di9qOvso1KrxeFyseiZZ8h65BEkhThAQBC+60QBJwjCd97x4008/PDHFBcrUKnSkCQfgoISsHTpCEqBQS+wTQJ0MD0TyjxkKvwcuMWMEOjdjK97O3FyD96SCQUq7iUDCwcpoY44MkgiABP/ho+znUSHCUmW0Xb/AGX1XqTa4dFDeQci4HQjcq2EpVuielBFFSOYgZDJk1m+cyfB38AF2YIgXB9EAScIwneWydTHE098yu7dTajVSYAPwcFxNLf4M+wp4ZYAnRFACHi4uYifo+SU3UWAwYbs24fBtwmlsp9MWhmSukgikhloKCYfJSoWcDcuPsIkv0iUYwgvVy0KZzq6hkCk+legTgu9LmiLhNMN2I1Qa3OjtnuICp2SQauVG3/+c7L/7d9QabXjnS5BEK4hYh5eEITvnOFhO//xH0eZNOkl9uyRgem4u8fi5ZVJa68/+myJ/lhwpYEcChERdoamSZR72fHIGMIzxMRk/2oiFe2kUo2TflYynWjqOMte9MTxPRbTy2Zsro9IsjXj5WpAM/ADdOfNSKUHoFwBXV5Q7AafmuiuhcI+HWd6RiiUJFQhIfzgyBEWbNokijdBuEqMRiPz5s3DYDCQlJTEs88+C0BXVxc5OTnEx8eTk5NDd3f3WJ+NGzcSFxdHQkICBw4cGGvPzs4mISGB1NRUUlNTx+5PvVrEDJwgCN8Zsizz7rtVPProARobPVGrZwDuREYm0mR0IywDBlXQFQn4Q8QECEiB0yMq3KKGQT+MwbcJhaqP6bQzTBtR6FlECIXswo6VWeTiQRGN8pNEOK34O6uQ5Bh0zTejqHsF6t2hwwU90XCijGRybgAAIABJREFUHmeDROOAmks9Nsp10OtyMXX1ar733HNo/8adjIIgfHUqlYqnnnqKtLQ0+vv7SU9PJycnh+3btzN//nzWrVvHpk2b2LRpE5s3b6a8vJyCggLKyspobm5mwYIFVFdXjx3mu2vXLjIyvvSRbv9Y7N/If0UQBGGc1dR08uijH/PRR23odMmAB+HhcZhMQXRaJULnQ7MC3KaAFViaDUdkMGodqBNG8PFpJ9K7hSAGicaIDSu3kYYblRznQwKJZBZzaOU5elw1JDr6UMsmVLY8NJdqkZryoV4H/U6oC4Fz9Qy0QdWwjksDw9SoVGjc3blz504Sc3PHOVuC8N2g1+vR6/UAeHl5YTAYMJvN7N+/f+wqrNWrV5Odnc3mzZvZv38/K1asQKvVEh0dTVxcHGfOnGHmzJnfeOyigBME4VttcNDGhg1f8LvfnQFikaQs3Nz88fOLp75RxeSboGoQiAR8IHoChE6Dd/tkQifbGPEfIs69CQ+PPtLoxo4RH3zJZSoXeZMmOkhjMWF00SA/QbDLht5Rj4Q7uu7HUNb8ERqsozcqDPjDmTbkGgvmLolL/RIVahcWIGbePG7bvh2vsLBxzZcgjIfH3oaS5q93zNQw2HL73/98Q0MDxcXFZGVl0dbWNlbY6fX6sdehZrOZGTNmjPUJDw/HbDaP/X7fffehVCrJzc3lySefvKp3EosCThCEbyVZltm3r4LHHjuAyaTF3f1GhoY0JCUZKCvzQT8JwlKg0gGeN8CQDHdkwxEJalxOAjOt2N27meZjROkcJHrIhN19gGwSiaOPk7yEB77cwr308irNcjGTHHbcXRUoXLPQNYUi1T8Nde7QaYPWcDhtwmqE6hEd9X0jVGg12GWZhU8/zYxHHxXHgwjCOBkYGCA3N5ctW7bg/TeWLlzp+tH/LtJ27drFhAkT6O/vJzc3lx07dnDvvfdetZhFAScIwrdOY2MP//zPH/LBB014e08FvAkJCWF4OIayCgXTlkJxG3iHAb4QHASJM+DNLpnQODtSyAih3ma0uk4SGEAp1SMrVTzIjZg4QCE1xDOdKQTTyHrcXQNMsbehoAPN8EOoqg8gNX4BTSroVUKpG5Q3094B1YNqqmUnTUBQbCzLX3+d0KlTxzljgjC+vsxM2dfNbreTm5vLqlWrWL58OQAhISG0tLSg1+tpaWkhODgYGJ1xMxqNY31NJhNhl2fNJ0yYAIy+il25ciVnzpy5qgWc+LonCMK3hsPh4umnT2Iw/IFPPrGh1c7Gbg8gMzOV+vo4tP4KIhdDcR/4zoY+X1g+C5wp8OGQi7DpIwxM6CE9oBpPrYW5tKKiFnunP5rqAM6zjQ6M3MT3icJEvfwbwh0jxNkvopS1uLX9E+qil5BKTVAjgykQPuvHcXaYaouKwm44o1LTZLeT+ZOf8MC5c6J4E4RxJMsya9aswWAwsHbt2rH2pUuXkp+fD0B+fj7Lli0bay8oKMBqtVJfX09NTQ3Tp0/H4XDQ0dEBjBaE77//PlOu8rmNYgZOEIRvhXPnmnnwwfcoLu7F3z+Lri4dqanhtLREUlgkceOdcNIIHgGgmAye3rBoLuzpkAkMcqCNsOLu0UaYRyt6aYQJNDKIlTymc8R6nLDki/gTyyzmYuL3OOQ6kuw21HIVSsetaOsGkOqeh3otdDnhkg+UtNLXPrpRoXrISp1CgZuXFyv37iX+5pvHO2WC8J13/PhxduzYQXJyMqmpqQBs2LCBdevWkZeXx7Zt24iMjGTv3r0AJCUlkZeXR2JiIiqViq1bt6JUKhkcHGTRokXY7XacTicLFizggQceuKqxS1d6n3s9y8jIkM+dOzfeYQiC8A0ZHLSxfv3nPPfcGby8YrFao9Bo1KSmTuGLL9yJTwFVPFRYIGA6dLpgSSbUB0LZiMzEFCut7sNM82vEoernBvoYooFQ/MgjkfPspUe2YGxM5eEoH5p4Hj+nkwhHHRI2tP0PoKzciVTbBS1O6AqCs+3IdRLGPgXVPU4qtFq6rFYMy5ez5KWXcA8MHO+0CV+zdx8bXdi+dMupcY7k+lFRUYHBYBjvML5RV/rMkiQVyrL8pc8eETNwgiBctw4dqmfNmnepr7cRGjqX1lYVM2aE0dwcxRfHJBashC8aQKUAzXRwauHeHCjoAXc3B37JVkZ03UzzMeHBCNNopptu5pBIIlaO8QLueFNzcR7Tww7QJF8g2qnA21mMQp6CzpiCVPMM1Gqg0wnGQChsZ7gFqkfcqO4bolqtRqHRcNvLL5Nyzz1XdVeaIAjfHaKAEwThutPfb+XnP/+MF144R2BgAhpNBCMjam65JYkPP3QnPFoi8274rB6CsqBdgjkJIMfBaz0y0Yk2jL5Wkr3NKHRdGBhCRz1WFDzAHCwc5DQXiWYaGSQTlvArvJXdGOwDKOUG1CN3oa4qRrq0E0xAtxuUOJGrO2ntkqgeUFIu2bEAE2fO5Lb8fHyjosY5a4IgfJuIAk4QhOvKZ5/Vcf/979LYOMzEidk0NqqYPTuUzs5oPvhAwYI7oKgLzveCxyzoB364EN4ehmGHiwlZI7RrBpnh14hdGmIOXXRhJoowlhDBabZjZZA5rMCLKmrktQQ4rUQ7a1FKHuja7kVZvRNqJegAWkLgbBtWI1wa0lLTZ6VSo8ABLPjP/2Tm2rUoLp/SLgiC8HURBZwgCNeF/n4rP/3pJ7z8chF6fSze3rG0tcEddyTx7rteePtJLLgfPiuFwDSwucHkUIiZDq9YZCbGOBjWW3H3aCfMo4UAyUoMTXQzyFIyCMLEIV7Cj1AWs5J2ttIqF5HgsOOmqMTcHU18axBS7XZoVEGnEipUUN5OhwWqBtVUOB2YgdDERG7fsYPgq7wLTRCE7y5RwAmCcM07ccLIPfe8TX19P0lJ2ZSVqZg61RsPj8m8+aaSWYvApIHPLoF/NnQ64Ptz4JgW3u2SmZRppUE3QrpvEzZ1H1kMYqUOFe48zDwusZ8iLmFgFkmEUs/jeLq6mGJvRmKQytoMEltLkeoboQ1o94ezFhwNErV9Smr6XZRrJEZkmdnr1zP3V79CqdGMd9oEQfgWEwWcIAjXLLvdyW9+c5Tf/vYLQkImEBo6nYoKJ3feOYmDBwMZGpa49UH44Dx4TwJlPOjc4YcLYLsFAr2c+MdZ6db0kunbhAIbc2mjnTbSiSUbf47zAi5cLOAelHxBrfwcEx0j+LqqkJyT0TVGkV77Ic5aJXQBtT5QYqG7FaqG1FRa7TRKEv6Rkdz92mtEjMOdiIIgfPeIg3wFQbgm1dR0MmvWq/zmN1+QnDyDtrbJaLVabr45k717gwiLljDcBu9dhKBZ0BMIi6dCzBzYZpGZlGSjI26ICd4mIv3qiJRGSJcu0U07d3MDSXTxOS/jTRBLuIMBnqHPtZskeyu+rirUA7m4ne9DcfYjKAN7owq+cOE81ketUcHJLjjmgkZZJuNHP+KfSkpE8SYI1xmj0ci8efMwGAwkJSXx7LPPAtDV1UVOTg7x8fHk5OTQ3d091mfjxo3ExcWRkJDAgQMHxtptNhsPPvggkyZNYvLkybz11ltXNXYxAycIwjVFlmX+9KciHnvsACqVO5MmLeT8eSc33xxBRUUE738gsWQ1HKkHxyB43AgDCnj4e7CrD4atLmJmWKlXD3ODXyNDykEWMEwXNejwYg2zKeMtOjAylZsIp5d6+WfonYMEO2tRuALRtdyJouoNqFVDh4y1RoPuopW+Zqgc1FA+bKNJkvAKCeGeV18lZv788U6bIAj/AJVKxVNPPUVaWhr9/f2kp6eTk5PD9u3bmT9/PuvWrWPTpk1s2rSJzZs3U15eTkFBAWVlZTQ3N7NgwQKqq6tRKpX89re/JTg4mOrqalwuF11dXVc39qs6uiAIwpfQ0THE/fe/y/79VSQlpdDYGEprK9x5Zyr79nmgD4eb1sD7pRCaCa0aSAuDyVnwXy0QNdGBLdyKXdfNNG8jGslJNhaaaSGDWDKQOMbzaHBjIXcyxC4scgkG+wBauRGVdQGamlakmjegSYIOLRQ7UdXYaOiE8gEoV7kYBNIffJCc3/0OrZfXeKdNEIR/kF6vR6/XA6N3mBoMBsxmM/v37+fw4cMArF69muzsbDZv3sz+/ftZsWIFWq2W6Oho4uLiOHPmDDNnzuSVV16hsrISAIVCQeBVPrBbFHCCIFwTPv20ltWr36Gjw8a0aQsoLoaMDD9keRJ79ypYcBtU2uBILQTdBK1W+GE2nHaD1y0ySWk2Kt1sZPg049B1kIADX+qwYOUu0hnmJKcpI4pkkgnEzG/wdfYQ6zAiyS50HStRVO5FuuQEC2D0g8Iu+o1Q0QflNkZn3UJD+f4rrxCbkzPOGROEb4/HzkNJ79c7ZqoPbPkSVw03NDRQXFxMVlYWbW1tY4WdXq/HYrEAYDabmTFjxlif8PBwzGYzPT09APzyl7/k8OHDxMbG8vzzzxMSEvL1faC/INbACYIwrqxWB48/foCFC3ei0QQQGHgT58/D8uWTqapKoLpGwbIfw8FmGAkERRootfB/8mC3DC0qJ+FZw9R7DjI38BJOnYUF9KLkIp5ouY8EmiighRpms5wYjJjl3xNt7yDSUYHSPgn3mgyUp3YildihTgEn1bg+76axBg51wCE7NALTHniAH5eVieJNEL5lBgYGyM3NZcuWLXh7e//V5650/agkSTgcDkwmEzfeeCNFRUXMnDmTn/70p1czZDEDJwjC+KmoaGflyn2UlLSRljaLkhIdkZFabropjX371GTcCPYI2F8EEdlgtMPiRNAkwDPNMpPjHTQE2whw6yHVy4hKGiEbMx30kM1kQmjkHLsIYiIzyaSVZ5FdTSTZO1DShab3LlQVB5CqekaPBzF5Q2EP/Y1woV9JqdVJG6D11hI3P5pbX3ppnDMmCN9OX2am7Otmt9vJzc1l1apVLF++HICQkBBaWlrQ6/W0tLQQHBwMjM64GY3Gsb4mk4mwsDACAgJwd3fn9ttvB+DOO+9k27ZtVzVuMQMnCMI3TpZlXnzxHOnpL9PYaCMubhFFRToWL47E4ZjKocNq7vgnqFRC7QD4ZUObCx67BSrC4INOmeTpVi6FDJPpa8Tbu54EqYdoKnFg5QdMAw5SzUnSWEQGXhjl9YQ4Goi1V6NyeuLWuAT1sd1I53qgVgGntbg+66GuEj7ogEM2Fx1qNdn/9m9M/n4KXhE+4502QRC+ZrIss2bNGgwGA2vXrh1rX7p0Kfn5+QDk5+ezbNmysfaCggKsViv19fXU1NQwffp0JEni1ltvHVs3d/DgQRITE69q7GIGThCEb1R7+yBr1rzLe+9Vk5iYSn19EJ2dEnfcMY19+9yZGDu6UeHNQpiYBUYtxHjDPQvgv0wQEuAkdJqVJtUAs/yaGJYGmYOFPixMJoJMXJSSjzs+LOH7dPMnulzFGBy9aORm1IM3o664iFTxDrQCJi8410tPg4OiPgXn7S76gOi5c7nl5ZcJiI/n3cc+HO+0CYJwFRw/fpwdO3aQnJxMamoqABs2bGDdunXk5eWxbds2IiMj2bt3LwBJSUnk5eWRmJiISqVi69atKC9flbd582buueceHnvsMYKCgnj11VevauyigBME4RvzySejGxU6O+0kJy/gwgW44YZAhofjePNNBUvugtIB+LwcohZDwyDkpUNvBDxnlJlqcFDhbyXW00KYewu+0jDJNDKEnTtIZZjjlFBNHOkkEYBR/gUBrk7CHE1ILnfcmpehuPAO1AEWBVxUYbvYS3UbnB4BEy7cfH1ZvnUrU+6+G0mSxjtlgiBcRbNmzbriujYYnUW7kvXr17N+/fr/r33ixIkcPXr0a43vbxEFnCAIV93IiIN/+ZfP2LLlNFFRUfj5JVBR4eLuuyfz3nt+KJQSK9fCG8chIBo8k6HdDk8uh+390NYnMyXLSqVmmAy/JqyqfmbQwzCN+OLHEmIp5Q2cOMkmDwWfYZZfJM7Rh7urCdVQFpqqTqTyt6EFaPJCPtdP6yUbJ/qhSgaHJJH5ox9x04YN6Hx9xztlgiAIf9NXKuAkSfIF/gRMAWTgh0AV8AYQBTQAebIsd19+/l+ANYATeESW5QOX29OB7YAb8CHwqCzLsiRJWuA1IB3oBO6SZbnhq8QsCMI3q6zMwsqV+ygttZCePouiIh0xMVrS0qawe7earFmgTYDXj8LkbKh0QkoALLoJNjZCcKgD7xgr7dpupvmYcMPKDTTTTRdzSCAMI2fZSTBR3MB0mtmCu/MSiY42FLIdXevNKEo/Qqp1QasEpWoGL/ZT2ApFDugFwqZN49ZXXiH08isUQRCEa91X3cTwLPCxLMuTgalABbAOOCjLcjxw8PLvSJKUCKwAkoDFwB8kSVJeHucF4EEg/vLP4svta4BuWZbjgGeAzV8xXkEQviGyLPPCC2fJyPgjZrOdyZMXUVioY8mSCFyuVD79VM3qh6HBHU7XwqRbRou372dB2Az4XZNM9BQr7TFDRPoYCfdtxCANkCBVYWWQe5iKkkNUceLPNir8nAn2MqIctahHJuJeGoPy0PtIpU4odcPxvkzVURtvmOCQA6xeXix95RXuP3dOFG+CIFxX/uEZOEmSvIE5wA8AZFm2ATZJkpYB2ZcfywcOAz8HlgEFsixbgXpJki4B0yVJagC8ZVk+eXnc14DbgI8u9/nXy2O9CTwvSZIk/7UX1oIgXBP+/EaFqVOnUlcXgtkss3LlVPbs8UQfBquegNc+g8gE8IwE4zA8cTvs7If2IRcTpo/Qoh1khm8TNsUgc+mmCxMRhDIbNaXswA1vbuZu+thOn+sUifZ2lPIAWksOyvOfI11ygAnks0raLw5xrGf0daldkki77z4W/P73uPn5jXe6BEEQvrSv8go1BmgHXpUkaSpQCDwKhMiy3AIgy3KLJEnBl5+fAJz6s/6my232y//8l+3/3cd4eSyHJEm9QADQ8eeBSJL0IKMzeERGRn6FjyQIwlf1+ef13HPP27S3j5CVlcPp0zLp6T64uSXw+utKbrkN+gLgtU8hfSEUj0CsN9wyB/6zRSY0yoFyghU3jw4meDTjK1mJx0g3A9xMIkqKKKGCGFJJwptm+ReEOcwEuJpRWGPQVUUgXTgw+jdJuY6hkyMUNTspdEAPoJ8yhVvz89GnpY13qgRBEP5hX6WAUwFpwMOyLJ+WJOlZLr8u/SuutJ1L/hvtf6vP/2yQ5ZeBlwEyMjLE7JwgjAO73cmvfnWIzZuPExkZzoQJszhzxs6KFXF8/nkwfX0Sj/8adp2CnlpIXgaFXbB4GphD4bV2mah0K2Y3K5m+RqyaHjIYwEE9StxZzWSq2I8DG3O4FYkDdLk+Z7K9DbXci6Y9G1XxcaQaG9SC4yTUVo9wYmj0W6DW05Nbn3mGaT/8IZJCHIEpCML17av8LWYCTLIsn778+5uMFnRtkiTpAS7/afmz5yP+rH840Hy5PfwK7f+jjyRJKsAH6PoKMQuCcBXU1nYxa9arbNp0nJkzZ9LaamBkBO6+O52CghCCgiV+/O+w5WNQBILbTKjug7zvwWEvMGqdBEwfpt+rhxmBVSjUndxEC1ZqSSGcHJyc53U88WMhsxmSn8LT8S5x9ktorV64X0hG/ckhpFM25I8VtO+B987DviFoAqbddx+PNDaSdv/9ongTBGGM0Whk3rx5GAwGkpKSePbZZwHo6uoiJyeH+Ph4cnJy6O7uHuuzceNG4uLiSEhI4MCBAwD09/eTmpo69hMYGMhjjz12VWP/h2fgZFlulSTJKElSgizLVcB8oPzyz2pg0+U/91/u8i7wuiRJTwNhjG5WOCPLslOSpH5JkmYAp4F7gf/6sz6rgZPAHcDnYv2bIFxbdu0q5aGHPkCSNGRmfo8TJ+zcdFMAVms8r7+u4PurodsXnn4TYmdDrQuSAiFwGuzpkYk12Gnws5Hk1YrGrQ29NEwwjQzgIJdJdHKIGtqZxlz8KaPH9e9McrShcfWgsdyI6twZpBojnIehU1BodFF4eXdpaFISt27fTlhGxninSRCEa5BKpeKpp54iLS2N/v5+0tPTycnJYfv27cyfP59169axadMmNm3axObNmykvL6egoICysjKam5tZsGAB1dXVeHl5UVJSMjZuenr62LVcVy32r9j/YWCXJEkaRo/GvI/RWb09kiStYfTL750AsiyXSZK0h9ECzwH8syzLzsvjPMT/O0bko8s/ANuAHZc3PHQxuotVEIRrQH+/lZ/85CNee+08KSmT6OiIpaTEwUMPTWLfvkD6+iTWb4RdJ8FkhJD5UDsCd8yB42qoGXERlWXFrB7mRr8mhlT93EgPAzThjx9zUFDFXjzwZRHz6Za3oXFWEO5sQzkShO5CHFLpMagA50moqYRjg2AG3Ly8WLplC6k/+IGYcRME4a/S6/Xo9XoAvLy8MBgMmM1m9u/fP3Yt1urVq8nOzmbz5s3s37+fFStWoNVqiY6OJi4ujjNnzjBz5syxMWtqarBYLMyePfuqxv6VCjhZlkuAK321nf9Xnv8t8NsrtJ9j9Cy5v2wf4XIBKAjCtaOwsJm7736LS5e6WbhwHp9/riI8XMEDD6Tz4ota4uJh2UOw4W3wmwzEg6SBuxbDng7QBzvQRlpx6HpI8zaikYZJx0wfvcwjGg3FVFJPAmlE0Eqf69+JdbSgdfWiNaehPHUeqaIF+Qy0F8ORTqiWwSlJZD74IDdt3ozOR9xdKgjXi//Tb+W83fW1jjlVreAZL+3f/XxDQwPFxcVkZWXR1tY2Vtjp9XosltHVYGazmRkzZoz1CQ8Px2w2/49xdu/ezV133XXVb3IRNzEIgvB3c7lktmw5xbp1nxEU5MOsWbfwyScjfO97gdjtcfzhDwpuWQ6t7vDyAZgwF8wOWDAFusLhjW6ZSdNs1LlbSfNpxqnrYBL9aGgE1OQRSj3vo0RFNnMYll9H7SxlktOCYigQt7NhSCWFUAKDp+C0EYodMABEpKdz62uvEXSVL5AWBOHbZ2BggNzcXLZs2YK3t/dffe5Kq7j+slArKChgx44dX3uMf0kUcIIg/F06O4dYvfodPvighuzsZOrrIzh50sr99yfw3nsBdPdIrHwU9heB5Ae+c6HDCffdDG8NgUvhJCzLSot6kBv8mrBJ/dyAhX7aSSKECBqo4SQRJDCJIYZdG4lxNKN19KOtjkd5uhrpIjhOQEUFHB+GNsDTz487X3oJwx13iLtLBeE69WVmyr5udrud3NxcVq1aNbZuLSQkhJaWFvR6PS0tLQQHj56IFh4ejtFoHOtrMpkICwsb+/38+fM4HA7S09OvetxicYggCP+r06dNpKW9zIEDteTlLeTEiVAcDonbbkvnT38KxC9IYvZqeP0EBE6FwVgI9oNFS+DVPhn/KBu2pGG8Pdsw+NcQoOgkXbrECF0sIRR3jmKhjhvIYoJ8GK3jReJt1bi3qXF/T4dqbzW8BabXYU8xvDMMHUols372Mx4xmUi8805RvAmC8KXJssyaNWswGAysXbt2rH3p0qXk5+cDkJ+fz7Jly8baCwoKsFqt1NfXU1NTw/Tp08f67d69m7vvvvsbiV3MwAmC8FfJssyzz57miSc+JSTElzlzlrBnzxA33hhCV1csb74pccd9cKoNjlRB5EJoHIJlM+CiN7zf6yI204pJN0KmrxGbuocMOrHSTAg+pNCNiY8IJRIDTpzO/yTc0YJ2eAjduQAUxR1QDL3H4YQZLjhhGIifP5+b//QnfKOixjtFgiBcx44fP86OHTtITk4m9fJ1ehs2bGDdunXk5eWxbds2IiMj2bt3LwBJSUnk5eWRmJiISqVi69atKJXKsfH27NnDhx9++I3ELgo4QRCuqKdnhB/+cD9vv13JzJkpNDRM4MiRYZYsSeLTT33w9ZO49+ew8xAExYEuGbpdsOpW2NMDPt4OfGKtDGh7SPcx4kY/aZgZZoibCMTKGZoZIJMUNPK7+DiK8LX3oLnki+rUIFJpB7ZjUFIJp62j29D9wsJY/uqrxC1cON7pEQThW2DWrFlXXNcGcPDgwSu2r1+/nvXr11/x39XV1X1tsf1vRAEnCML/59y5Zu66600aGnrJzl7AkSMQHa0lKyuN999XsfAWGAqB1w5BzByoc8K0MPBIhl29MrFJNhp9raR4N6PQtRNPF2rMeKAjGxctfEogwWTKKrTO3xHqaEXVIaE7oUUq7cZ1AmqL4Gjv5VsUdDoW/cd/kPnIIyjV6vFOjyAIwrgTBZwgCGOcThe/+90JfvnLQwQEBBIfv4jDh+3ccksU586FUVgo8eN/gT1nYcAEIQugfgTy5sEhCfrsLsKzRrBo+8nybUIh9TKVFobpIwtvlJTQSh9pxOHtepsQx0Xch4fRFvqgPNcDZ+10nIRDLVDlApckkX7vvcx/+mnc/P3HOz2CIAjXDFHACYIAgNHYy733vsPhww2kp2dQXu6H3S5zxx3TeOstdyZNhoVr4A+fgH4qOHxBqYXbF8KeTpkJ0Q4UYSO4e7US6tZGuNSJN81oUDIbB+0cIRg/MuQRfB2/x9/ehbrWHfUJGamwh8Ev4OQlKHKMrnObmJ7Okp07CZw8ebxTIwiCcM0RBZwgCLz5ZjkPPvgeVitkZi7i7FknN944eh3Wm28qyF0Fl1yw4xBEzocmG8yfAm0TYF+fTHS6lVaPQVJ8m1CquphKMzZ6mYYOLeV00kea7EOAax+hDiPqDie6Exqks4PYj0FpCZwYHl3n5hsUxG3btjHp1lvHOy2CIAjXLFHACcJ32MCAjUcf/YhXXinBYIilv38SRUV2Vq1K4IMPAnA4JR78Bew8CspA8JkLbU5YdTPsGwS1zoFf8gg2j3aSPZsJo4NAmnHDxQ3000sJ/ngQ56ohxFGIx/AQ2nOeKE/34zplpe4YHOkeXeem0WjI+dd/JeunPxXr3ARBEP4XooAThO+ooqIWVqx4k5qaLm66KZuNwbWCAAAgAElEQVSjR9Xo9UqWLk1l1y4N0zJAPwNe/hTCZ4BJBYmBEJ4Bu7plwhNtdPgPkujThE7dyRRacNJDCk5UVDGCgyzZRpDjXQIdHairdai/kJHO9tNxGA4boUoGJ5C2ciXzn3sO94CA8U2KIAjCdUIc5CsI3zEul8wzz5xkxow/0d8vk5l5C59/rmLevFA8PdN4+20Ndz8AnSFw4CKELhgt3pbPgh4DHLQ5CZ4+hD20hZSACiJV9SRRjTcd3EALEqXEyhKznUeJt71BcFsH7m+p0WwbZuSP8MVuyG+CMhnCUlN5qKyMW3ftEsWbIAjfOKPRyLx58zAYDCQlJfHss88C0NXVRU5ODvHx8eTk5NDd3T3WZ+PGjcTFxZGQkMCBAwfG2nfv3k1ycjIpKSksXryYjo6Oqxq7KOAE4TvEYhlkyZLXWbv2EzIzp+ByZVFaauf735/CsWPRdHRKrPoZFJyHIT9QZYBDDcuXwtuSjG2CDW1qLyGBl5jkXU2KVEOQZCSVPqIpQ0sHs11Gptp3EDFQhefnKtxelnH+0UbVdthVCp/bweXlRe7u3fygqEjcXSoIwrhRqVQ89dRTVFRUcOrUKbZu3Up5eTmbNm1i/vz51NTUMH/+fDZt2gRAeXk5BQUFlJWV8fHHH/PjH/8Yp9OJw+Hg0Ucf5dChQ5SWlpKSksLzzz9/dWO/qqMLgnDN+PTTWu655226u60sXryQAwdcxMdrSU2dws6dKm6cB7Zw2HUMwueCyQE3ToaeCNg34iIoYwTJp51kLyMTaMGPNvSMEIEZB72kyC4mOA8QaGtDW6ZGdRQ4NkTbCTjeDpUyOCSJ6Q8+yE2/+x1aL6/xTokgCN9xer0evV4PgJeXFwaDAbPZzP79+zl8+DAAq1evJjs7m82bN7N//35WrFiBVqslOjqauLg4zpw5Q0ZGBrIsMzg4SEBAAH19fcTFxV3V2EUBJwjfcna7k1/+8hCbNx8nPj6MsLA0Pv54hCVLIrlwIZyDByVW/Bg+LAN7D3jPAYsLli+ED0Zk1AF2PCP7CfE1EqhuIRYzavpJpQcHJoJlJQmus4Taq9A2O9B9rkA6aWPoGBTXwTkH9ABhycks3bmTkJSU8U6JIAjXmKeoo4rBr3XMBDx4nJi/+/mGhgaKi4vJysqira1trLDT6/VYLBYAzGYzM2bMGOsTHh6O2Wxm5syZvPDCCyQnJ+Ph4UF8fDxbt279Wj/PXxIFnCB8izU29rBixVucOmVi4cIszp71paXFzvLlqbzzjgcRE2HRP0HBOQjJgD4tTAwG/6mwz+bCb9oIOv9WJnoaiaQZLzqJpR9fmlBjI8tlJsxxAs/+frRH1SiPyTiPO6krg2MDl29R8PDg1meeYdqaNUgKsWpDEIRrz8DAALm5uWzZsgVvb++/+tyVrt2SJAm73c4LL7xAcXExMTExPPzww2zcuJEnn3zyqsUsCjhB+JZ6551K7rtvP04nLF58Mx9/bGPKFG/U6gT27VPyvTug0gYfVULAPGizw+LZcFwhU+flwCemh3CfJkLVZibSggf9JNKOg3YMso0Yx2f42yxoi1SoDoN00k5XEXxhgXIZbMC0e+8l55lnxC0KgiD8TV9mpuzrZrfbyc3NZdWqVSxfvhyAkJAQWlpa0Ov1tLS0EBwcDIzOuBmNxrG+JpOJsLAwSkpKAIiNjQUgLy9vbN3c1SK+DgvCt4zV6uCRRz7i9tvfICwslLCw+Xz8sY3Fi+NpbDRQW6dk+U/g4ybo8gVFKmi8YcZi+FjrQjl1iOCkBpICSklRlRFFA0m0E08VvrKFHOcZplnfIKTGgscroP6jHdsuOP057GiDEhn8EhJ44OxZlubni+JNEIRrlizLrFmzBoPBwNq1a8faly5dSn5+PgD5+fksW7ZsrL2goACr1Up9fT01NTVMnz6dCRMmUF5eTnt7OwCffvopBoPhqsYuZuAE4VukpqaTFSveoqiohezsWZw86Ya3t0R2dgYff6wl/QZwToR9pRAwGzpdMDMdyr1lCn3t+MV2EenTyASlCb3cRpDUTzQtQDeZLjMRjpN4dAyhPaREcUbGdRYayuFILzQBGjc3bvn970n/0Y/E61JBEK55x48fZ8eOHSQnJ5OamgrAhg0bWLduHXl5eWzbto3IyEj27t0LQFJSEnl5eSQmJqJSqdi6dStKpZKwsDB+/etfM2fOHNRqNRMnTmT79u1XNXbpSu9zr2cZGRnyuXPnxjsMQfjG7dxZykMPfYBSqWHSpNmcPWsnK2sCZvNEmlskbv0BfFoNchg4wsHTC+Kz4AxOfBKH8AsyEulmJFo24Sb1kUwPYCRe7sHgOI7fsAXtCRXKYw4ohd4iONYCF1yjr0un3nUXC7du/Vae5/buY6OLlpduOTXOkQjXKvH/yJdXUVFx1WeprjVX+sySJBXKspzxZccSM3CCcJ3r67Py4x9/wK5dF0hKmozFEsX5804WLEjh4EFPJsZJzFoN+6vAJx16FZA2Fer8ZIqCbATGWpjo3USEZCSADqKkXgIw4SN3k+ksIcR+CV25C/VhkC44sBVDaRWcsEI3EBQTw9LXXyc8K2u8UyEIgvCdIQo4QbiOnTplYuXKt2hs7GfmzJs4eVJBbKwX/v4JfPaZkpw7obALTnSDJgtcHpCaBUUaJz6GPqIDm4jUGpkoN+Ml9TAZCwospLvqiXIU4dE8hOawAkWJjHwejOfhUDc0AGqtlsWbNpH58MMolMpxzoQgCMJ3iyjgBOE65HS62Lz5OL/61SGCg0OIjp7JyZN25sxJ4MyZANy9JbLvg09rwHMqODQwZQo0BslcDLcSGt1ClGcDkZjwo5N4qRM3zMTIFpIcp/Dr70R7TImyGLjgYqAQjhuhxAkjwJTbb2fxiy/icXlnliAIgvDNEgWcIFxnTKY+7rnnbQ4fbiAtbTplZT7YbBqmTp3G0aNqMuaP3l16tAvU0wEvSMyUuejpxMfQwyS/BiaqmwiTWwmROgmnFW+5nSxnMSG2OrQXZNQnQKp04jgLlZXwxTBYAL+wMO56/XWi5s4d7zQIgiB8p4kCThCuI2+/XcH997/H8LBEcvIiioqcJCdHUV+v51KdxJx74Gg9uCeASwuTUqEhwMWl2GEiws1Eu9czETM+dDJZsqCWW8lw1RBlL8G91Yr2iAKpXEYuhrZiONIJ1TKgVJL9i18w68knUWo0450GQRCE7zxRwAnCdWBoyM7atQd46aVCYmMTkOUoqqvVJCamcuGCjtTZ0O4JR/tANR0UvjAxVaYy0IF/QgeRPg1EKRsIop1oOvDBTKzcTLLjDL6DXWhOqlAVAWUuRgqhsB7O2KEPmDhjBkt37sT/8gGVgiAIwvgTBzUJwjXu/PlWMjJe5qWXzpOYmE1tbQReXno0mjTqG3XMXgUlEnRGA3EQmQZD0520p/QTM62KNP9zTFOcJ45aplFDhFxOjuMIN4x8QuDFHtx2geoDB673oeED2FMNB+1g9/Ji+a5drD5xQhRvgiB8KxmNRubNm4fBYCApKYlnn30WgK6uLnJycoiPjycnJ4fu7u6xPhs3biQuLo6EhAQOHDgw1v7GG2+QkpJCUlISTzzxxFWPXczACcI1SpZlnnvuNE888RkeHqEEBNxEZaWShIQpVFW5M2UmdPuOrk9TpIM6BLySZOr1NoLiWonxqmOi1EQAHcRLFjxoJtVVTYzjAu6dw2iPqlCUjp7p1lcCZ1ugyAlDQPKdd/K9l17Czc9vvNMgCIJw1ahUKp566inS0tLo7+8nPT2dnJwctm/fzvz581m3bh2bNm1i06ZNbN68mfLycgoKCigrK6O5uZkFCxZQXV1NT08PP/vZzygsLCQoKIjVq1dz8OBB5v9f9u48Purq3v/460wmySSZyU7CZIeskxAIIZCgERNjZFFAieBCK95ivVqpC+29xupt+7tcucELFWrB1l6sEW2rVAtuKIrigiwCYQ+QACHbJCH7nszy/f2RyHVBRSQM4uf5D8lhvofP+f7D+/H5zjnfvLyhq33IZhZCnLOqqjbmz3+Ft98+SVRUBpWVJiIihmO3x3CiUnH5LbClDjxGAj4QOQ5OBjkguZWkoApGepzArFmJUKcIoZZorYrR9l0E9Dfjscsd9+1AqR37TjhWDlt6Bl48bxo2jLlr1hA3ebKL74AQQgw9s9mM2WwGwGQyYbFYqKmpYf369WzevBmAefPmkZOTw5IlS1i/fj0333wznp6ejBgxgri4OHbs2IFerychIYFhw4YBcPXVV/PSSy9JgBPih0LTNIqL93LffW/S328iKCiXykr9YNfNh8Tx0BYMWxxAGnjHgH6kRk1MD+EjaojzLieKaobRwEhVj1GrY4JzH+G2cjyqNTw/UKiD/bAXmvbDjlOwX4MeIOPOO7l66VI8TSYX3wUhxA/N3/mQShrP65xRBHMzV5z15ysqKigpKSEzM5P6+vrTwc5sNtPQ0ABATU0NWVlZp6+JiIigpqaGvLw8Dh8+TEVFBREREaxbt47+/v7zup4vkgAnxEXCau3gzjtf47XXygkPH0ttbQD+/qEEBIzk2Ekd6bNgdyfo4wATDE/XqBvmICj5FBb/Y8ToKwilnpHUY6SeZGclCfZdmHo68PzQC7fdPXAIbHvhaAVs7x3ouvlHRnLTc88RPWmSi++AEEK4RmdnJwUFBSxfvhxfX9+v/NyZXj+qlCIgIIAnn3ySm266CZ1Ox2WXXcbx48eHsmQJcEK4mqZp/P3vB7jnnjfo6jIQGnoVNTV64uOTKSszMWIsEAK7fYAY8E+CljAn7YmdxEacJMFQRphmJYx6QqnDrJ1itGM3ofZqPI644fEhqNIe2AeNh2FXE+zTBr7rNuGee7j6scdw9/Z27U0QQvygfZtO2flms9koKChg7ty5zJo1C4DQ0FCsVitmsxmr1UrI4KHlERERVFVVnb62urqasLAwAKZPn8706dMBeOqpp3Ab4jfUSIATwoUaG7v52c9eZ+3aUiIiUunoCKGvL4SAgFiOV+mwTIdSQDcS9IHgN1qjMdSGObmWONNRolQVwZwiTtXhTQNjnMeJtu/Hu60bw3ue6Pb3wUHo3w9lVbCzb+A1WCazmduee44RV13l4jsghBCuo2ka8+fPx2KxsHDhwtPjM2bMoLi4mMLCQoqLi5k5c+bp8VtvvZWFCxdSW1tLWVkZEyZMAKChoYGQkBBaWlpYtWoVL7744pDWLgFOCBd5/fWj3HHHqzQ2akRGXkVVlTuRkRaqqnyJSof+YDgcCvjD8DFQO8yBY1QLqSHlxLsfI5hGRlCPL3WM1JpIcmwn2NaAR4kn7ttAHe2D/dB4BEqaB7punUDa7bczZcUKPL/mMYEQQvwQbNmyhTVr1pCamkpaWhoAixcvprCwkDlz5rB69WqioqJYu3YtACkpKcyZM4fk5GT0ej0rV6483Wm777772Lt3LwC//vWvSUhIGNLaJcAJcYF1dvbzi1+8xVNP7Wb48GR0unCamoZhMsVibdYRMw0qvIBI8DGDPlmjIbKbqLgqEr2PEE4tIVojMaoOb5oZ6zxKpO0Qng29eL3rjjrcC6VgOwjl1bCzF04AXkFB3PyXv5A42OIXQogfuuzs7DN+rw1g06ZNZxx/+OGHefjhh780/re//e281vZNJMAJcQFt2VLJbbet4/jxfszmXKxWA8OHJ1FX50tkBvQFQWU04Adh6Rq1IXaGjaon0b+cEboKAlUzidTjST2JWgux9o8J6mvEc7sB/U6g3AYHoaUMdjfDXid0AKNuvpmpTzyBd3Cwi++AEEKI80ECnBAXQG+vnd/+djOPPbYVP79E3NzC6egYjo/PCJp6FObJUBUAhIFfLPTEOGlNbCcx4gRxnscI1eoJUy2EUY0/7Yx27CfcfhTPGhuG99xQZb1wWOEo1ThWBTt64DjgFRjInD//GcvgF3OFEEJcGiTACTHEtm6t4ic/eYXDh/sIDJxEc7M3ZrMFa52RsAlQFwD1cUAQBKRptEX0YU6sYaSxnGiq8KWNFHUKHXUka43E2rfi39uM50cG9Hs1OO6AUmg7OtB1K7EPdN2SZ8/m2lWrpOsmhBCXIAlwQgyR7m4bjzzyLo8/vgOTKQmlwrDbw/DyiqbZpiPgGqgNBULBPxlao+1oyU2kBFUwQj/w4vkY2gjiJIFaB6nOPYTbyvGsdOK5WYc60QtlOhylTk5UwLZujROAp78/s//3f0kuKHDxHRBCCDFUJMAJMQTef7+C+fNf4dgxJ35+V9LW5jPQdWvwZngm1IVAXzToo8AtyUlXXDcxkVVEe50kRqvCSBupnALqGKU1MMK+Df/uVjw/9sJtX8/AWSBHoP0w7G6AEge0A8mzZjHtj3/EZ/B1LkIIIS5NEuCEOI86OvooLHyHVatK8PVNAULQ6aLw8IygVSm8roG6KMAMxmSNzqh+/BMbiPStJFpVEUQjI1Ub/pwkUGsn1bmbMNsJPKo0PN/XoU72QLkbjkMOKspha7fz/7puf/4zyTfe6OI7IIQQ4kLQuboAIS4VGzaUkZKyilWrjuPreyXt7dEMHz6Olq5ITJmKniuhZwwYxgOXO9Cy2olLO8oo/wOkqVIiVDXjqSKIo4zVKsm2vUlUVzk+H3pgeNWB2ueEbdDxEXx0EF7phmNA0qxZ3HP0qIQ3IYT4lqqqqsjNzcVisZCSksKKFSsAaG5uJj8/n/j4ePLz82lpaQGgqamJ3NxcjEYjCxYs+Nxcu3btIjU1lbi4OO69996vPJ7kfJEAJ8R31NTUzW23/ZNp016goyMWGIe7+0j07mNp8zHgNg2a0kCNB7eJGvYJvQSNryUp/ACpHgeJ5RgJqg4LRwnUqshxfExK3zsEVHXh9bLCbWs37HXH+QEc3wrrqx184ACbvz+z165l9ksvySNTIYQ4B3q9nmXLllFaWsq2bdtYuXIlhw4doqioiLy8PMrKysjLy6OoqAgAg8HAokWLWLp06Zfmuvvuu3nqqacoKyujrKyMN998c2hrH9LZhbiEaZrG2rWHWLDgDZqafDCZcmhrMxESYqGhywOfXOiKBsLBkKTRG27HENdFWEAVYZ41xGrVeKs2RtEA1DFaa2CE7WNM/R14lhjR7+6AamC/G50H7Oysg92OgR2mlhtu4No//UmCmxBCfAdmsxmz2QyAyWTCYrFQU1PD+vXr2bx5MwDz5s0jJyeHJUuW4OPjQ3Z2NuXl5Z+bx2q10t7ezsSJEwG47bbbWLduHVOnTh2y2iXACXEOrNYO7r77ddavP0ZQUBpOZyDu7rGgH0ZHmIJk6IoAzzjoMzvRJfYRHNLICFMlEaqaQE4Rq9rx4yQBWidjnDsw2ytwb9Zh+MgDyjrguB7nLjsnyxx82DWwb8Hg78+c1avlXDchxCXlQ/5OI5Xndc5goriCm8/68xUVFZSUlJCZmUl9ff3pYGc2m2loaPjaa2tqaoiIiDj9e0REBDU1NedW+FmSACfEt6BpGn/9635+/vMNdHb6YTLl0NISgMk3gWZ3N/TTFD1RoCLAPU7DHmrHFNdFmH8Vwwe7bp6qnTE0olFLqnaKWNtHmOwdeBwdhvv2hoGktk9P1147n9TBLsfAO0xHzZ7N1CefxDsoyMV3QQghLi2dnZ0UFBSwfPlyfM/hPdFn+r6bUup8lPaVJMAJcZbq6zu5667XWbfuOEFBadhsQXh7x+P0DqAvDUgAewgYR0GnyYnJ0gfBTae7bkE0MEJ1EUgFvnQw2rGXCPsR3Lt0eG33gwMNUA7OnXDyqJ0POweynFdAADc/8wyJM2a4+A4IIcTQ+DadsvPNZrNRUFDA3LlzmTX4dCM0NBSr1YrZbMZqtRISEvK1c0RERFBdXX369+rqasLCwoa0bglwQpyFF144wM9+9gbt7YEYDJNobTXjaYyhfbiCMdAfBoYYsEdqEGbHd2QXQb7VhBpqideqcVftpNOMgyqStA5i7R8Q5GhEXxOCx8cNqKN9sMeNrhIHOwa7bl1A6s03M3XVKrwCAlx9C4QQ4pKjaRrz58/HYrGwcOHC0+MzZsyguLiYwsJCiouLmTlz5tfOYzabMZlMbNu2jczMTJ599ll+/vOfD2ntEuCE+BqnTnVxzz1vsHbtCUymNOz2UDwN8fT6eaOlgRYL+MOwsXDK4MSc0k9fQBOxvpWYVQ3DqCdc9RHOCbxoZZSzjCj7Pgx9fXjtGY5ulxWOgHMHnDzqON118w4M5JZnnyXh2mtdfAeEEOLStWXLFtasWUNqaippaWkALF68mMLCQubMmcPq1auJiopi7dq1p6+JiYmhvb2d/v5+1q1bx8aNG0lOTubJJ5/k9ttvp6enh6lTpw7pBgY4DwFOKeUG7ARqNE27TikVCLwAxDDwf9EcTdNaBj/7EDAfcAD3apr21uD4OOAZwAt4A7hP0zRNKeUJPAuMA5qAmzRNq/iuNQvxTTRN44UXDrJgwZu0tobg5jaJ3t4R4BNCbyKQDM5gCEmAllCNnuF2fEd2Y/StZqSXlQStCr3qYBzdODhKlNZFrONjzA4rbs0mDB9qqINW2KPo2q2xw/p/XbfRt9zClJUrpesmhBBDLDs7+yvPa9u0adMZxysqKs44npGRwYEDB85Xad/ofHTg7gNKgU+/9VcIbNI0rUgpVTj4+4NKqWTgZiAFCAPeUUolaJrmAJ4E7gS2MRDgpgAbGAh7LZqmxSmlbgaWADedh5qF+Eq1tQM7TF95pQ6DYSwORxTuhhHYQ93AonDGg5svhI2HKp2TsJR+ugJaiPerJETVEoaVIOUggWqcWEnT6oiyfYKvox3PI1Hot5yEQ+DcDiePaJ/rut26Zg3x06a5+hYIIYS4yH2nAKeUigCuBR4FPn14PBPIGfy5GNgMPDg4/ndN0/qAE0qpcmCCUqoC8NU0bevgnM8C1zMQ4GYCvx2c6x/AH5RSShvq443FD5KmaTz9dAkPPPAu3d3RwCQczngIMEESaHFAMIRZoHEYtAyz4xfbjaeplihvK4laDXrVShp2FAcJoItY516ibMfx6HLg9XEAavdJKIHOXfBJ7ee7blNXrcLg7+/iuyCEEOL74Lt24JYD/w6YPjMWqmmaFUDTNKtS6tOtG+EMdNg+VT04Zhv8+Yvjn15TNTiXXSnVBgQBjd+xbiE+p6KilTvueJVNm7rR6yfgdMagPCIhFogGLRH0RggfDyeVRkRKH20BbcT5VeKnayCOGjxVH+k00UsFFq2VCMcOQu11uFcE4vFBE2p/M85tcPIwfNAJJwHvoCBuffZZ6boJIYT4Vs45wCmlrgMaNE3bpZTKOZtLzjCmfc34113zxVruZOARLFFRUWdRihADHA4nv//9dn71q23YbAlAGnr3eOy+BtyTwBEHBMHwZDgVDE2BdgLi+1BGK0k+tcRTj5dqYAROAjmKnhbGaceIspVi6mnHsM0X3Y6mga7bTthRO/A2hS5gzNy5TPnDH6TrJoQQ4lv7Lh24y4EZSqlpgAHwVUo9B9QrpcyD3Tcz8OnxxdVA5GeujwBqB8cjzjD+2WuqlVJ6wA9o/mIhmqY9BTwFkJGRIY9XxVnZu7eO+fNfZdcuD5TKwt19JA4Vii5OG/iWZhLojBA5Hk6iEZXST4NfFwn+lXi7nyKFGjTamUAvvRwhih4iHDuIslXjWaPhsRnU3jac26CiFD78bNdtzRrih3iHkhBCiEvXOQc4TdMeAh4CGOzA/VLTtB8ppf4HmAcUDf65fvCSV4C/KqV+x8B/j/HADk3THEqpDqVUFrAduA144jPXzAO2AjcC78r338R31dNjY9GiD3jssf0M7K0Jx2BIoNdbj8ECvTEKhkFoEjSGQJO/g2GJfXQZWhjjV0koDYRQSyB24qjGTj3pWiPh9h0E9zbhudMbt61dsAu6dsJH1bDXCT0Mdt1WrsTg5+fq2yCEEOJ7TDcEcxYB+UqpMiB/8Hc0TTsIvAgcAt4E7hncgQpwN/C/QDlwjIENDACrgaDBDQ8LGdjRKsQ527y5glGj/sR//3cdDscE3N3TQJ+Ce6I7WrrCMQ5UFIyYBNXDNIZb+uhJ6sbsV0mcfxnJ6jjDVBVp9BPBfkycItO5j8S+dwmpacLrnwq3dV0418ORt2BNJWxzgiEignnvvcf1zz0n4U0IIS4SVVVV5ObmYrFYSElJYcWKFQA0NzeTn59PfHw8+fn5tLS0ANDU1ERubi5Go5EFCxZ8bq6HH36YyMhIjEbjBan9vBzkq2naZgZ2m6JpWhOQ9xWfe5SBHatfHN8JjDrDeC8w+3zUKH7YOjv7KSx8h5Ury9HrU4AQjKYkOt31GMZBZzQQAsPioc0M9d5OolL7aPDoYqL/Sdzd6omnBnf6mUAbnRzDotmIcmwitLcew2539Fs02KXRsQPeroFDTtB0OiY9+CBX/OY36D09XX0bhBBCfIZer2fZsmWkp6fT0dHBuHHjyM/P55lnniEvL4/CwkKKioooKipiyZIlGAwGFi1axIEDB7505tv06dNZsGAB8fHxF6b2C/KvCOFCH3xwknnzXqGiIgjIwMMjBrsy4xyhIAScyaB5QWwWHHNqJI6wUzW8D3fvRkYbqwlTVkw0EIUeMyewc4osZxWR9k8w1Xfi+Z4OdvXh3A779sN73dAORI4ezfUvvURgXJyrb4EQQogzMJvNmM1mAEwmExaLhZqaGtavX8/mzZsBmDdvHjk5OSxZsgQfHx+ys7MpLy//0lxZWVkXsnQJcOLS1d1t41e/2sSKFQdxdx8DDMPHmEiXhwGPMdA7AgiFkBHQEQXVbhppaX0c8uwl3b8SnfspUqjCSSfZ6OlmJ4FaNxbnNsJ6T+K1B/QfALucNG+HN2ugXAMPTw9mPL6ctLvuQqkzbaQWQgjxWcdZRhdHzuucPiQykl+c9ecrKiooKSkhMzOT+vr608HObDbT0NDwDVdfeBLgxCXp44+rmDdvHeXlJpTKGsse+vUAACAASURBVOi66cLojwTCQKWAUw9js6FEg9gQBz2xfVR7tJLhV4WJJqKpwgeN8XTRRiljtHpG2rYScKptoOu2w4l9O3yyDz7qhW4g6aqrmP7ii3gHBbn6FgghhDhLnZ2dFBQUsHz5cnx9fb/5gouABDhxSbHbnSxa9D6LFn2Ch8doYDhGUxIdHgb0sWCPGTgiJMQMhlFQ0qsxYYyNEmMvFlMtHl6niOcUeqzE4k4wR7FTyxWO/UT0HcFnjxP9+8AuJ9Yt8FbdwNEgPkYjt6xZQ8L117v4DgghxPfPt+mUnW82m42CggLmzp3LrFmzAAgNDcVqtWI2m7FarYSEhHzDLBeeBDhxyaisbOOWW17i449t6PWXoWnR6Lwi6IsC/BnYrKBTRETYaIp1x0PvJGliHwf0XUwIOIlT1844aumhhcvQ6GM74VoDyfatBDc2YdikYLtG3xbYcgA+sUEvMHbOHKasXo3HBdp5JIQQ4vzQNI358+djsVhYuHDh6fEZM2ZQXFxMYWEhxcXFzJw504VVnpkEOHFJeOmlQ/zkJxvo6hp495WHZxLdRi/cokAXDp5xoPeC8Bgb1f7uJEfbqDL30+3VRKqphiDVQQQn0dPHJJqwcZQs5xFievdj3NuP+2bQPtY4sRXeboI6wD84iJtfepnoSZNcvHohhBDnYsuWLaxZs4bU1FTS0tIAWLx4MYWFhcyZM4fVq1cTFRXF2rVrT18TExNDe3s7/f39rFu3jo0bN5KcnMy///u/89e//pXu7m4iIiK44447+O1vfztktUuAE99r3d02Fi58iz/9qQK9PgNNG4HyiqR/JOAFYZcPvEx3TCw0R0F1vxuBkd0cNdsZ51+D3bOJVJrQqCYCJ8EcxahVMtaxk9DGWrzeAbUFut+DTeWwzwFOpci+916uXLJEjgYRQojvsezsbL7q/QCbNm0643hFRcUZxx977DEee+yx81XaN5IAJ7639u+v56ab/klpqT+QjZtbInaTF+7x4BUEpnFQ1Q25V8KHDgg2OvAO76HXt5fswJP06dq5HCvdNJFJLxr7GeU8Rnx/CX77etC/BdoHcGg7bOqAFsAcF8cNr77KsKQkVy9fCCHED5gEOPG9o2kaq1Z9wgMPbMPhSAESQBeB20jAB6LGQrUveHgM7DJ9r0tjbJKdQ0H9BOqaCQuoxtetc/CRaRcTqcdTO0KGYw8RzRV4bdTQbYKWzfDmyYGjQdz0eqYVFZHxwAMo3VC8wEQIIYQ4exLgxPdKU1M3t932Km+84QSy0euTcLp7EzAeWvph1GQ40AljEqE6BEptGumZfezV27jcv5ZuzwYiuk8RpK8lmh78OEKMVk5y326C9negfwUc78Lm3bCjF/qAhOxspq9di3H4cFcvXwghhAAkwInvkffeO8Hs2ZtoaooBotDr4/CJUvQNB80PojPgQAdckQMf2iEuyIF3XB9Hdb3kBpyky62FhO4aTN5NjKUVT62UDOc+YlrK8H7NgW4DHNkMbzUMPC4NDAjgpuefZ8TUqS5dtxBCCPFFEuDERc9mc/DQQ++zbNkpIBmjMZbOrlCGZYDVDoljoMoEnQrSr4EPuzQmptjZ7d9PtGcbUb6VGFQLcVTh4dFKjO0k4foy0mw7CdnbgvuL0Po2vHYQjtvBU6fIX/gLJi5ZIo9LhRBCXJQkwImLWnl5M9Onv8nhw6HACIYPH01dk4HhOWDthLRpsKcDxoyAU5FwoF8jI7OPHXob2f51dHnWkUADbtQSRxt++sOk2vZhaSzF+LId7S149x3Y1gEOIGXMGKZt2ID34CtUhBBCiIuRtBfERUnTNJ5+ejcpKa9y+HAUQUHDCQjIoNVpwHcitOsg7rqB8HbNJCgdDpqPk7AJPRzy6CYv+Bg2z0omcBwvKsigiihtG3n9b5O+fT+mR+0c/x/4wzr4qAMCvLy4/cUXuXHPHglvQgjxA1FVVUVubi4Wi4WUlBRWrFgBQHNzM/n5+cTHx5Ofn09LSwsATU1N5ObmYjQaWbBgwel5uru7ufbaa0lKSiIlJYXCwsIhr10CnLjoNDf3UFDwD+bPL6e/P46EhJE0tyTjHqHDFgN+kWDIhLpeuGoqbHRC4ggb7ZYedIZW0oOP4OFWzSiOEkQtaRxilHMzVze8Q/QfG+hbBC88Cc8fg24Nrr7tx9zV0UHU7NmuXroQQogLSK/Xs2zZMkpLS9m2bRsrV67k0KFDFBUVkZeXR1lZGXl5eRQVFQFgMBhYtGgRS5cu/dJcv/zlLzl8+DAlJSVs2bKFDRs2DG3tQzq7EN/Se++d4NZbX6WuLhYIYPToVPYdMBGeDTXdMPoKOAhEB4BnKrzbqTFuXD97DP1M8LNiN9QRhxUP6kihkWDtAONtnxD9cQ36l2DbC/DBqYHdpYkxUVy3+QOM0dEuXrUQQghXMJvNmAefuphMJiwWCzU1Naxfv57NmzcDMG/ePHJycliyZAk+Pj5kZ2dTXl7+uXm8vb3Jzc0FwMPDg/T0dKqrq4e0dglw4qLgdGr85jfv8V//tQe9fiweHkZiYtLYd9idkCuhtgfSpsOeVrh8LBz0BydO4if2cUjfzRUBlTjcTjGGagycwkIVsVoJY+tK8F/bQ/MLsG4b1DjBVwc3rnqSuH+9y9XLFkIIAfTZH8Dp3Hte59TpxuCpf/ysP19RUUFJSQmZmZnU19efDnZms5mGhoaznqe1tZVXX32V++6771vX/G1IgBMu191tY968dfzjH424uU0gMDAAnc5CRaMO3yzocYeYK2FPG1ydB5v6IDrUTmt0H72GZsb4VhGgGgimmigaCdNKybDvJP6j47i9CB/9Dba0gQ2ICzdinJko4U0IIcRpnZ2dFBQUsHz5cnx9fc95Hrvdzi233MK9997LyJEjz2OFXyYBTrhUXV0n06f/jZ073YHRxMVFUFkZhVeEQgsCUxh0joBmB2RNgXc6NZJTbRzx7SPNrwa9oY4UajBgJZkaRmgljLfuJOgfXTQ8Da/ugxoNAgyeFKxbx64Nv3X1koUQQnzBt+mUnW82m42CggLmzp3LrFmzAAgNDcVqtWI2m7FarYSEhJzVXHfeeSfx8fHcf//9Q1kyIJsYhAvt31/PhAn/y549/kA8o0YlcuRINAGpimY/iB0H9eEQGAz+WfBJv5O4zF5OBHRyWXAZvobjpHEUM+WM1fYyyf4aV330Pv4PdfH+Q/D0XqjVIHPGdO5p7yB88hRXL1kIIcRFRNM05s+fj8ViYeHChafHZ8yYQXFxMQDFxcXMnDnzG+d65JFHaGtrY/ny5UNW72dJB064xIYNZcyZ8zI2Wwp2eyCpqansP2giPAdqOmHMNbC3B9JSoCwQPI0O/BJ76TK0Mtb3BMNVLUHUkEAtcVoJExu3EfjXLhqfhFePQrUGAUYfCt58i/DLL3f1coUQQlyEtmzZwpo1a0hNTSUtLQ2AxYsXU1hYyJw5c1i9ejVRUVGsXbv29DUxMTG0t7fT39/PunXr2LhxI76+vjz66KMkJSWRnp4OwIIFC7jjjjuGrHYJcOKCW7lyBz//+bsYDBnYbEYslrHsP+xJ6JVg7YOU6bC3FTKzYTsakSNtWEP6SPG1YvI6SQJVBFBLonacLPuHJOwux20ZbH8dPuiGXmDCTXO45tk1uHl4uHq5QgghLlLZ2dlomnbGv9u0adMZxysqKs44/lXzDBUJcOKCcTo1HnzwbZYu3YeX10SUMhIdPYaj1Xr8L4MuPUROgtJOSMuD7TaNEWP6qDX2kBlQga/+BBHUEIuVROcuLm/fQtDqLlqfhNePw3ENTD7e3PzKq0RfdZWrlyuEEEIMGQlw4oLo67Mzb946XnihFg+PLIxGP5RKoa5Hh0cqeASCzgItCqJzYJ/mJGJCHy1erWT6lxHBCYKpI1k7Tpb9XRL3l+P+/2DPO/BuN3QBqdOmcd0LL+BhNLp6uUIIIcSQkgAnhlxLSw833PAC77/fi5vbOIYPD6G5OQ79cEV/IEQnQF0ImILAEQeN3g78LD14GOtI9z5KjKogkjpGOz8hu+sjgv/cSccqWH8CjjjB0+DJTWueI+nGG129VCGEEOKCkAAnhlRlZRtTpz7P4cPeQCojR0Zz/EQ4gamKU26QOhEO6SFyJFSHaASH22mL7CbO/wQRHkeJoBqLdoJsx9skHTqCx3/CgTfh3S5oA+Kys7nhn//EOzjY1UsVQgghLhgJcGLI7NlTx9Spz9PcHIHTGYHFkkjp4WBCs6DeBuMmw65uSBgNR00aYcn9tAe3MTbgCNGqnDBqGKft4crutwn9Sztdf4ANZXDQCXp3d2auWsWY+fNRSrl6qUIIIcQFJQFODIl33jnODTe8iMORTH9/MBZLKqVHTYROgvpuGD8TPmkGSxaUemqEjunBHniKTNNBoqlghKpkovMDMo/uwOu3Dg6/Ae92QDMQlZ5OwSuv4Bse7uplCiGEEC4hB/mK8+655/YxZcoLaNpYenpCiItLp/SYiWFXQJMN0q6HT1rAMglKjU6CM7owhp4gy3cbSeoQ49nD9X0vcOWzW9FmO3h9LazrgHY3N6Y+/ji379wp4U0IIcR3VlVVRW5uLhaLhZSUFFasWAFAc3Mz+fn5xMfHk5+fT0tLCwBNTU3k5uZiNBpZsGDB5+aaMmUKY8aMISUlhbvuuguHwzGktUuAE+eNpmk89tgWfvzjDXh6ZtHXF0RERAYn6g34Z0GvHmKnDpzxFpcLpUYHfhltRIYcJMNrB4kc5krtAwoq/0byggpOLITnDkCJE4YlJXH3kSNMuP9+eWQqhBDivNDr9SxbtozS0lK2bdvGypUrOXToEEVFReTl5VFWVkZeXh5FRUUAGAwGFi1axNKlS78014svvsjevXs5cOAAp06d+tzhv0NS+5DOLn4wHA4nDzzwFk88UYrBMBE3N3/8/UfRbB84JsQQCO5joKIfIiZBRYAN/6RmUgP2E6eOkkA5mfaPuGzdTpz/o/HWbiixg0MprvrNb7j8kUfQubm5eplCCCEuIWazGbPZDIDJZMJisVBTU8P69evZvHkzAPPmzSMnJ4clS5bg4+NDdnY25eXlX5rL19cXGHihfX9//5A3GyTAie+st9fOj370Mi+91IBePwFf32F0dSVg91f0B0FMHLREQrcBDMkapyL6CRxZS7ppD7GUM4pSrmp+i9hHa6l5Dt5sACsQHBnJjW+8QeioUa5eohBCiKF07H7o3HN+5zSmQezZv5e0oqKCkpISMjMzqa+vPx3szGYzDQ0NZzXH5MmT2bFjB1OnTuXGIT7aSh6hiu+kubmHa65Zw0svtaPUWCIiImluScAnTtHqD6PGQ+1wUKHQnaLhSOkhPPEI2b5bGKP2MokPuXXH34i+qZb3/wB/bYA64PL77uOuY8ckvAkhhBhynZ2dFBQUsHz58tOdtHPx1ltvYbVa6evr49133z2PFX6ZdODEOTt+vIWpU5+nvDwQiCYxMY7Dh0MJy4JaO2RdDTtsEJIIdWFOfEe3EzfsACnuB0niCNn9H3DZn3ZRtxQ2VEIt4B8UxI/feIPwCRNcvTwhhBAXyrfolJ1vNpuNgoIC5s6dy6xZswAIDQ3FarViNpuxWq2EhISc9XwGg4EZM2awfv168vPzh6ps6cCJc/PJJzVkZT3NiRMROJ3RpKSM4vCRUMKvHAhvE6+DbTYYNg7qYu0EjD9FxvAtZOm3M0H7hFtrnmfivF28+2/wbOXAI9Osn/6Ue6qrJbwJIYS4IDRNY/78+VgsFhYuXHh6fMaMGRQXFwNQXFzMzJkzv3aezs5OrFYrMPAduDfeeIOkpKShKxzpwIlzsH79YW6+eT0wGpvNn+TkNA4e9iIsF2q6IG0mbO2EoCyNhph+zAnVZJp2EK/KyHDu4Lq33qTpAQd/PgKngODgIAo2vs3wsWNdvTQhhBA/IFu2bGHNmjWkpqaSlpYGwOLFiyksLGTOnDmsXr2aqKioz+0ojYmJob29nf7+ftatW8fGjRsJCgpixowZ9PX14XA4uOqqq7jrrruGtHYJcOJbeeKJ7dx773t4eY3HZjMRFzeWQ8fcCc2BU7aBY0L22MF4mUZ7Yg+W6IOMNewhXitjSs/rpD18iE1/hN09A/Pl3H03VzzxhOwwFUIIccFlZ2ejadoZ/27Tpk1nHK+oqDjj+CeffHK+yjorEuDEWXE6NX75y408/vh+DIaJ6HRGzOY0Tp5yI2AidLmDfxZUGkGX7ITRbWSF7iBJf5g0bS+zDr1Ex03tPHlw4B2m5gA/Cj7cQlBKiquXJoQQQnzvSIAT36i3186Pf/xP/vGPWjw8sjAa/YAUmhw63FLALQR6R0BXNNji7QSNruPygI8ZoY6T59jEpCXvsPE/obQP3IEpP7+HCSuekAN5hRBCiHMkAU58rebmHmbO/DsffdSLm1sGoaHDaGmNR2dWdPtB5CioDgRDqkZPYh+xljLGe39CgnaEOY0v0Jdzkj8dhB4gLsSfmZ/sxRgV5eplCSGEEN9rEuDEV6qoaGXq1OcpK/NBqdHExUVwvCIKH4ui1QOiroBKH/BM0yC1g4zoEsa47yXTuZ3JT65l0wM2TtrAR8Hshx8keVGRq5ckhBBCXBIkwIkzKimxMnXqX2ltjcDhiCAlJY6DR0LwS1e0usPwK6AyAHSpTozp9aQP+4RUtY/J3a/hPno7a46BHRg93Mi0AxV4BgW5eklCCCHEJUMCnPiSjRuPMWvWWjTNQl/fMJKTUzhY7ocxA7p8wTQWmqKBlH4i0k4w3riDcexkStHTbHmkkyYnBOlg5n/9ksiH/sfVyxFCCCEuOXKQr/ic4uI9TJv2Akql0d0dysiR6Ryq9sNjLBANzrFgG62hXdFFWuYuJpveZGbT30gK+z2v/qqTdidMivXhZ53dEt6EEEJc1KqqqsjNzcVisZCSksKKFSsAaG5uJj8/n/j4ePLz82lpaQGgqamJ3NxcjEYjCxYsOOOcM2bMYNQFeA2kBDgBDJxGXVT0EbffvgFv7yy6u4cROjyDil4DJIJpDHQmgPsVTvSTmshJ2sQU9zeYteA/qQ/ZwL46iHaHu//0b+SWd6Lz8nL1koQQQoivpdfrWbZsGaWlpWzbto2VK1dy6NAhioqKyMvLo6ysjLy8PIqKBr7DbTAYWLRoEUuXLj3jfC+//DJGo/HC1H5B/hVxUXM4nDzwwFs88cRBfHwuo78/CG9jMi3+OpwBEDgRmkJAN9FO0OgKrvT7gKydr+Jz1Tq2d4I3cP0YT8ZsawDDub8EWAghhLiQzGYzZrMZAJPJhMVioaamhvXr17N582YA5s2bR05ODkuWLMHHx4fs7GzKy8u/NFdnZye/+93veOqpp5gzZ86Q1y4B7geur2/gjLe1a+vw8MjCzS2MXucIiFX0+4NxArTGaujG9zI6qYTLde9zWe5jHH+/lTYgzQcm//EnGH602tVLEUII8X216X5o2HN+5wxJg7zlZ/3xiooKSkpKyMzMpL6+/nSwM5vNNDQ0fOP1//Ef/8EvfvELvL29z7nkb0MC3A9YW1sv11//Aps321EqHV/feBp7QvAYBYSDfhT0jnFiyGhmUuT75K1+Ct3PNlLmgFAdXJfnTsTL5WCUc92EEEJ8f3V2dlJQUMDy5cvx9f32T5L27NlDeXk5jz/++Fe+aut8kwD3A1Vb28GUKc9z4IA/kEhw8ChOaUZUMnilQls86MbZiRxfztXNaxk/4r+pq+rBAFwTAuP/OBP9DetcvQwhhBCXgm/RKTvfbDYbBQUFzJ07l1mzZgEQGhqK1WrFbDZjtVoJCQn52jm2bt3Krl27iImJwW6309DQQE5OzunHsEPhnDcxKKUilVLvKaVKlVIHlVL3DY4HKqXeVkqVDf4Z8JlrHlJKlSuljiilJn9mfJxSav/g3/1eDb5jSSnlqZR6YXB8u1Iq5tyXKj61f389mZl/4dChMDQtAT//cTT5+EA8+GVD2zgNt7weMiduYsG/3siI2F9TX9WDxR3uvlWRtX+7hDchhBDfe5qmMX/+fCwWCwsXLjw9PmPGDIqLiwEoLi5m5syZXzvP3XffTW1tLRUVFXz00UckJCQMaXiD79aBswO/0DRtt1LKBOxSSr0N3A5s0jStSClVCBQCDyqlkoGbgRQgDHhHKZWgaZoDeBK4E9gGvAFMATYA84EWTdPilFI3A0uAm75DzT94b7xRxuzZr9HfPwpNC8fTJ4nuCB3OEPDKgrYUDf+sOm76cBFx2X+iq99JiIIpSRD16DjcZmwDN2ncCiGE+P7bsmULa9asITU1lbS0NAAWL15MYWEhc+bMYfXq1URFRbF27drT18TExNDe3k5/fz/r1q1j48aNJCcnX/Daz/l/Yk3TrIB18OcOpVQpEA7MBHIGP1YMbAYeHBz/u6ZpfcAJpVQ5MEEpVQH4apq2FUAp9SxwPQMBbibw28G5/gH8QSmlNE3TzrXuHypN03jiiR3cf/92lErHwyOGXhWFM0nhjAGVBn3pdsaZX+emq39C14lmnEC+P0y4A3QPrEcXNsPVyxBCCCHOm+zsbL4qUmzatOmM49/0HbeYmBgOHDjwXUv7RuellTL4aHMssB0IHQx3aJpmVUp9+uA4nIEO26eqB8dsgz9/cfzTa6oG57IrpdqAIKDxfNT9Q2G3O7nvvg2sWmUFxmEyJdGuC8ItCdQocKRoeE1o5J7fz8b3hffpAUbp4ZpJYPi3ZPT5JeDm4eplCCGEEGLQdw5wSikj8BJwv6Zp7YNfXzvjR88wpn3N+Ndd88Ua7mTgESxRUbIj8rPa2nq58cZ/8M477sAYfP1G0W7ygjhwSwdbmoM861Lych+mv99BqIJroiHqX8F5+9Poh/+Lq5cghBBCiC/4TgFOKeXOQHh7XtO0lweH65VS5sHumxn49PCUaiDyM5dHALWD4xFnGP/sNdVKKT3gBzR/sQ5N054CngLIyMiQx6uDjh1rZtq0tRw9GgFE4O2XQmeYG8QOPDIdFrmTf334OpxV9bgDeb6QMQNs/xKFmnQAvd7k6iUIIYQQ4gy+yy5UBawGSjVN+91n/uoVYN7gz/OA9Z8Zv3lwZ+kIIB7YMfi4tUMplTU4521fuObTuW4E3pXvv52dd945ztixf6W8PA43t3jc/EfTE6eHdIX7xA5+umUad/7reFRVPWPd4WeXQcZjYFu2DM+rTqIkvAkhhBAXre/Sgbsc+DGwXyn16fHJvwKKgBeVUvOBSmA2gKZpB5VSLwKHGNjBes/gDlSAu4FnAC8GNi9sGBxfDawZ3PDQzMAuVvE1NE3j97/fzsKFJTido/H2iaPbFAax4DEeMtpWcu1v78dmsxOhYEoUmG+EnpuiYOw+PPV+rl6CEEIIIb7Bd9mF+hFn/o4aQN5XXPMo8OgZxncCo84w3stgABTfrK/Pzl13vc4zz7QB4zD6WegMNsEICEsq5ad/m4Kqr8QDmOwH6VeD80bombIUb/9fuLp8IYQQQpylc36EKi4udXWdTJr0LM884wDS8PRPpzPKiG60jTua53DXH5Jxq68kzR3uyYL0h6DjP8NhTpOENyGEED9IVVVV5ObmYrFYSElJYcWKFQA0NzeTn59PfHw8+fn5tLS0ANDU1ERubi5Go5EFCxZ8bq6cnBwSExNJS0sjLS3trN6f+l3IiayXgJ07a7nuupepr48HElBBMfQlQKbf37nhtdvptfUzTMG1IyDyWrBNU7RdsRh/n0JXly6EEEK4jF6vZ9myZaSnp9PR0cG4cePIz8/nmWeeIS8vj8LCQoqKiigqKmLJkiUYDAYWLVrEgQMHznjW2/PPP09GRsaFqf2C/CtiyDz//D5+8pMPsNnGoNMn4zQH4T3yFP9WeiU0lKIB+X6QeTXoJkPj5Fj8Inbgrwt0delCCCGES5nNZsxmMwAmkwmLxUJNTQ3r168//SqsefPmkZOTw5IlS/Dx8SE7O5vy8nIXVj1AAtz3lMPhpLBwE0uX1gCXofdKxj7Ck9kUkv7BY/RpGnF6mD4efCdDzxQ97WlFhHrK41IhhBAXmafvh4o93/y5byMmDX6y/Kw/XlFRQUlJCZmZmdTX158Odmaz+awfh/7Lv/wLbm5uFBQU8Mgjj/A1Z+N+ZxLgvodaW3uZPftl3nnHC8hC559AWPRe7jtyFR29rbgDMyIheQY4c6AqJ5FhQZsJVcNdXLkQQghx8ens7KSgoIDly5fj6+t7TnM8//zzhIeH09HRQUFBAWvWrOG22247z5X+Hwlw3zOHDzcyZco6Tp6MBpUM5jB+oc3Ef++rdAJp3jB1KrhfBW1XedEWv5hIt/tQX7lhWAghhHCxb9EpO99sNhsFBQXMnTuXWbNmARAaGorVasVsNmO1WgkJCfmGWSA8fOAtoCaTiVtvvZUdO3YMaYCTXajfI6+9dpT09PWcPJmCm3cmadGlrGzwwsf6KkYFt6fDzAdBLVAcnjcRz6QKotzul/AmhBBCnIGmacyfPx+LxcLChQtPj8+YMYPi4mIAiouLmTlz5tfOY7fbaWwceE27zWbjtddeY9SoL52Odl5JB+57wOFw8utfv8/ixXVABh7B8Sx2Xo2tYiuNQIY/TPkRqCug9ooAeocvx6KGLvULIYQQl4ItW7awZs0aUlNTSUtLA2Dx4sUUFhYyZ84cVq9eTVRUFGvXrj19TUxMDO3t7fT397Nu3To2btxIdHQ0kydPxmaz4XA4uPrqq/npT386pLVLgLvINTV1U1Cwnvff9wVdJlOGfcycxnFUOhyYFNwyCaJuhp7L3dmfdDVj3J/FQLCryxZCCCEuetnZ2XzVGzo3bdp0xvGKioozju/atet8lXVWJMBdxHbvtnLttW9QV5eA0TuGP+qvxlp/lEpgdCBc93NQV8KRjGiU8TEy1RxXlyyEEEKIC0AC3EXq6ad3c+ed+3A4JnBr0AdMb72So90aBgW3TIW4+dCUZWJP6PVMNjKXNQAAF65JREFUcvsDnpzbrhkhhBBCfP9IgLvI9Pba+dnPNvCXv9jwdxvH8/4zKWs6wREgLhBu+DVwtRvb40cR5PE78rnK1SULIYQQ4gKTAHcROXmylWnTXuXQoSgeCHiX3I4CdrcObBW+bhqMfgiqRpspMc5mpu4x9Hi6umQhhBBCuIAEuIvEW2+VM2vWVkx9UWwLvondjfXsBsy+ULAUtOk+bBw2gRi3IgqY4OpyhRBCCOFCEuBczOnUePjhDykqauWBoCNc57iNdxvBBlw5Gcat0HF4ZBL73eZyu+5BdLi5umQhhBBCuJgc5OtCLS09XH75P/nTYz3sDL+LlKZH+bAPfLzh9mKIeDmMl+MLMOjX8xPdryS8CSGEEOdRVVUVubm5WCwWUlJSWLFiBQDNzc3k5+cTHx9Pfn4+LS0tADQ1NZGbm4vRaGTBggWfm6u/v58777yThIQEkpKSeOmll4a0dglwLvLxx9XExLzOxJNbedUwhXdqrFQD43NgdpkPh390OS8b/h8/0v2dVBXn6nKFEEKIS45er2fZsmWUlpaybds2Vq5cyaFDhygqKiIvL4+ysjLy8vIoKioCwGAwsGjRIpYuXfqluR599FFCQkL+f3t3Hx9Vdedx/PNLCAYCiOUxECFIUwxITEFBJbUghVIfQA2iLGLWYnV3pYayWtmuSpVKiS/sgkLZqiARu1GQCqgo0Ag+IAhqECVRgxgkEBIMTwbEJHL2j5nE8CiBTCZz5/t+veaVmTMz9/X7ZU5ufnPOuffy2WefkZuby89//vPAxh7QrcsxfFOm7zBrahHvxI/l/c+L+aeD5o1h6NORlN3YjayI/lzi/pvfR3QIdrgiIiKeFRsbS2xsLOC7hmliYiLbt29n8eLFrFq1CoC0tDT69+9PRkYGMTExpKSksHnz5mO2NWfOHD755BMAIiIiaN06sCfVVwFXj3buLGPIkGVcVLKelTEZvLoZDgA9L4HzX+nAhy0vYsPh2/iTXU0j0/VLRUQkTDwwDnI31O02uyfDQ9NO+eUFBQXk5OTQt29fiouLqwu72NhYSkpKTvrevXv3AnD//fezatUqunbtyowZM2jXrt3px/8DNIVaT15+OZ8fn7eEZ0hnSHEGL+2Dw5Hwy7lNafZOCpkt/42Obg5TGl1DI118XkREpN6UlZWRmprKtGnTaNGi9ifGr6yspLCwkH79+vHBBx9w6aWXcvfddwcg0u9pBC7AKiq+4847V1L66krebzGZ5R/CbqDzT6DrW+fzfptL2FhxGzOiLiEqQgcpiIhIGKrFSFldq6ioIDU1lVGjRnH99dcD0K5dO4qKioiNjaWoqIi2bduedButWrWiadOmXHfddQDccMMNzJ49O6BxawQugLZu3csFPZ7nzk9v5Tc7J7OwGPYZ9H74bKLzruapVr+ja+U0/ta4H1Gm4k1ERKQ+OecYM2YMiYmJjB8/vrp96NChZGZmApCZmcmwYcNOuh0z45prrqleN5ednU337t0DFjdoBC5gXnghjyfveZbsiMksexMKgR+1MeLe7MW6boP44tDNPBWdyFmRqqFFRESCYfXq1cybN4+ePXuSnJwMwOTJk5kwYQIjRoxg9uzZdOrUiQULFlS/Jz4+nv3791NeXs6iRYtYvnw53bt3JyMjg9GjRzNu3DjatGnD008/HdDYVcDVsfLy77jjjn9y267f8qfifJ77xnegQpdft6Rs1jU8SSr3VA7moSZNgh2qiIhIWEtJScE5d9znsrOzj9teUFBw3PbOnTvz5ptv1lVoP0gFXB364os9pI+awdzyB1j1AWxy0Pgs6PhiX9755QhKvx7OohZxNDaNuomIiMjpUwFXR+bP30SrV27gfz7JY/4eKAbOubApe15L48nm/8Lk8osZeLYuPi8iIiJnTgXcGSov/4777n6KB/L/nQ/+6VhYCYeAmAcuZNV9dxO175e83bQ1UTqvm4iIiNQRFXBnoKBgLzmPX8k9S9bw0lbIBxqf3YjdL91GVo+xPPtdN3q31q9YRERE6paqi9O0ZHE2/V8dQpdnK/n7AdgHRA7uzLLMqcS7weSe0xzTqJuIiIgEgAq4WiovryR7diq/mL2EZTnw8WGIiDKKnriVFYPv55WzO3F+Ex2kICIiIoGjSqMWtm7Np+zRs+k2cQlz3oeNhyEiqR0vbnqJqCtm8HmHeBVvIiIiIWLbtm0MGDCAxMREevTowfTp0wHYvXs3gwYNIiEhgUGDBrFnzx4ASktLGTBgAM2aNWPs2LHV2/n6669JTk6uvrVu3Zpx48YFNHZVG6foreyHaD/uJ7z3x4Nk7YK9BoWTRvHUPzay6NwrebyTzusmIiISSho1asSjjz5KXl4ea9euZebMmeTm5jJlyhQGDhxIfn4+AwcOZMqUKQBER0czadIkpk6desR2mjdvzoYNG6pvnTt3rr4sV6CogPsBh779hi3PdSbhjolkLoY15RDZvjnz1yyl/c1P80XXtsRFa62biIhIqImNjaVXr16ArwhLTExk+/btLF68mLS0NADS0tJYtGgRADExMaSkpBAdHX3Cbebn51NSUsLPfvazgMauNXAnsbngJc6dNZSimfDWASgHisdczWt3ZbLu/HNo3ViFm4iIyJnaMm4cBzZsqNNtxiQnc960aaf8+oKCAnJycujbty/FxcXExsYCviKvpKTklLeTlZXFjTfeGPADGVXAHcdhd5hP3r2C2PFvsGAtfO7grKZRLPx7Fr9OHsZf4/VrExER8YqysjJSU1OZNm0aLVq0OKNtPffcc8ybN6+OIjsxVSJHOXBoK5VZ3ai451vmlEIZsH9AH5b98RXeu6wV0Y006iYiIlKXajNSVtcqKipITU1l1KhR1evW2rVrR1FREbGxsRQVFdG2bdtT2taHH35IZWUlvXv3DmTIgNbAHSF/231wSzzZv/mWJaXwbaSxbOos+sxdw8eXt1bxJiIi4iHOOcaMGUNiYiLjx4+vbh86dCiZmZkAZGZmMmzYsFPaXlZWFiNHjgxIrEfTCBzwnfuWHSvPw27dwZwvYTfgftyJVzPe5q1rzyVSZa6IiIjnrF69mnnz5tGzZ0+Sk5MBmDx5MhMmTGDEiBHMnj2bTp06sWDBgur3xMfHs3//fsrLy1m0aBHLly+ne/fuAMyfP5+lS5fWS+xhX8BtP/gS50wcyqbH4f1vwRms/Y/7uOe/HuSPHVW5iYiIeFVKSgrOueM+l52dfdz2goKCE25vy5YtdRHWKQnrAi7v0wGcPWIV8zbCTuCsH7XgzUfWsvTXiegqWCIiItJQheUQ09eHv2DvrGi+6r2KzI1QDGy58mYGf1TK0jEq3kRERKRhC7sRuI/2TKD99Rm8/AZ86aBpkyg+nriKZ39/mQo3ERERCQlhU8AdcmXsevXHHLy5mDl74BCw76IBjFy0lHs6nviMyiIiIiINTVhMoX5WsZCDo5qz6ppiXtsDEVHGrvtf5i/rX+cnKt5EREQkxHh6BO6wO8xHOSkcvmoNi3fCQSAyIZGbVq3j3A7Ngh2eiIiIyGnx7AhcidvMrt+exUd91rBkJ7gIKP/tk9z3Wa6KNxEREWHbtm0MGDCAxMREevTowfTp0wHYvXs3gwYNIiEhgUGDBrFnzx4ASktLGTBgAM2aNWPs2LFHbCsrK4uePXuSlJTEkCFD+OqrrwIauycLuLc/H8vWTgnMnVnJ599By84d+dft+3n4sduCHZp4hJkdcYuKigKgQ4cOxzwncrTIyMhj+of6jVQ5Xl+IiYk5pl395Mw1atSIRx99lLy8PNauXcvMmTPJzc1lypQpDBw4kPz8fAYOHMiUKVMAiI6OZtKkSUydOvWI7VRWVpKens7KlSvZuHEjSUlJzJgxI6Cxe66A+3Z7Dp93m8nSQmgUAY3HPk56QSFt2zcPdmjSwM2dO5f09PRTfv3gwYOrTwBZWVkJ+HaykZGROOcYPXo0AE2aNKn7YKXBqG2/WbduHYcPHz7ucxdffDHOuROeWFRCU236yFVXXQX4rsXpnCMpKQmAAwcOVPeNd999F4A2bdoEJuAwEhsbS69evQBo3rw5iYmJbN++ncWLF5OWlgZAWloaixYtAnz7+JSUFKKjj1w/X/XZVH1O+/fvp0OHDgGN3XNr4PbsPMxWoFPnllz3XiEtW8cEOyRpQL7e1/GYtiZNmnDo0CHANzJSNYR+MjX/wQ4ePJjly5cDkJ+fX93+zDPPMG/evOptS+iqq34D0Ldv3zqNTRqGuuojVZdh2rlzJ+C7OPrRqvpQSUnJacfb0Lw2bhw7N2yo0222T05myLRpp/z6goICcnJy6Nu3L8XFxcTGxgK+Iu+HftdRUVHMmjWLnj17EhMTQ0JCAjNnzjyj+H+I50bgIoBWdzzArQV7VLzJMUY9vZBRTy8kPT29egqiagc7evTo6pG0401VnGjKoqp4O1rr1q0BGDFiRICykfpSV/2mc+fOANUjKEdbv369psZCVF3vWzRNWr/KyspITU1l2rRptGjRotbvr6ioYNasWeTk5LBjxw6SkpL485//HIBIvxcSI3BmNgSYDkQCTznnppzotW179+bO/32w3mKT0PTYY48Bvm/IBw8ePOb5U53Cqtq59uvX74j222+/ndLSUgCef/75MwlVGpAz7TdffvklAH369DnmuS5durBlyxYuvPBCNm7ciJlpKjUE1dW+5a677mLNmjWsX7+eZs2aUVZWBvimY4Hqi6d7RW1GyupaRUUFqampjBo1iuuvvx7wTWEXFRURGxtLUVERbdu2Pek2NvhHD7t27Qr4vrhXrZsLlAY/AmdmkcBM4FdAd2CkmXmr50rQfPPNN5jZMX+cp/ItuerAhZiYGN5+++3q9oULF/Lkk08Cp76zltByJv2m6nVH36+6CPbxpswk9JxpH5k+fTrr1q0DfOvfqtx6660AbNq0KcAZhAfnHGPGjCExMZHx48dXtw8dOpTMzEwAMjMzGTZs2Em307FjR3Jzc9m1axcAK1asIDExMXCBEwIFHNAH2Oyc2+KcKweeA07+mxT5AVULTqtGznbt2oWZVU97Vj1/vBtA+/btq6dEqr4Zg+/Q8+HDh1dvQ7zlTPvN0Y+r2tLT07nlllsAanVAhDQ8Z9pHqhbHL1++nHvvvRf4/sui1L3Vq1czb948Xn/9dZKTk0lOTmbp0qVMmDCBFStWkJCQwIoVK5gwYUL1e+Lj4xk/fjxz584lLi6O3NxcOnTowMSJE7n88stJSkpiw4YN/OEPfwho7NbQ/8mY2XBgiHPuNv/j0UBf59zYGq+5HbgdoFOnTr23bt0alFgltEVERNC+fXt27Njxg6893roU59wJ16s09L8zOX216Tc1VfUV5xznnHMOe/fuPeJ59RnvqG0fOXo/UtUX7r33Xh555BGuvfZaXnzxxTqPs77l5eUFfJSqoTlezmb2vnPuotpuKxTWwB3vP+IRezbn3BPAEwAXXXSR9npyWk50aofjOdE/V/3TDT+16Tc11ewrVScJFW+qbR850X4kIyODjIyMughJPCAUplALgXNrPI4DavdVV0RERMRDQqGAWw8kmFkXM2sM3AQsCXJMIiIiIkHT4KdQnXOVZjYWWIbvNCJznHM6/EZERCTEnWztsNfU9RKbBl/AATjnlgJLgx2HiIiI1I3o6GhKS0tp1aqV54s45xylpaXHXILrTIREASciIiLeEhcXR2FhYfW507wuOjqauLi4OtueCjgRERGpd1FRUXTp0iXYYYSsUDiIQURERERqUAEnIiIiEmJUwImIiIiEmAZ/Ka3aMrOvgU+DHUcQtAa+CnYQQaC8w4vyDi/KO7yEa97dnHPNa/smLx7E8OnpXFMs1JnZe8o7fCjv8KK8w4vyDi9m9t7pvE9TqCIiIiIhRgWciIiISIjxYgH3RLADCBLlHV6Ud3hR3uFFeYeX08rbcwcxiIiIiHidF0fgRERERDzNUwWcmQ0xs0/NbLOZTQh2PIFiZnPMrMTMPq7R9iMzW2Fm+f6f5wQzxkAws3PNbKWZ5ZnZJjNL97d7OnczizazdWb2oT/vB/3tns67iplFmlmOmb3sf+z5vM2swMw+MrMNVUeohUneLc3sBTP7xP93fqnX8zazbv7Pueq238zGeT1vADP7nX+f9rGZZfn3deGQd7o/501mNs7fVuu8PVPAmVkkMBP4FdAdGGlm3YMbVcDMBYYc1TYByHbOJQDZ/sdeUwn8p3MuEbgEuNP/GXs992+BK5xzFwLJwBAzuwTv510lHcir8Thc8h7gnEuucVqFcMh7OvCac+584EJ8n7un83bOfer/nJOB3sBB4EU8nreZdQTuAi5yzl0ARAI34f28LwB+A/TB18evNrMETiNvzxRw+H4Zm51zW5xz5cBzwLAgxxQQzrk3gd1HNQ8DMv33M4Fr6zWoeuCcK3LOfeC//zW+nXtHPJ678ynzP4zy3xwezxvAzOKAq4CnajR7Pu8T8HTeZtYCuByYDeCcK3fO7cXjeR9lIPC5c24r4ZF3I6CJmTUCmgI78H7eicBa59xB51wl8AZwHaeRt5cKuI7AthqPC/1t4aKdc64IfIUO0DbI8QSUmcUDPwXeJQxy908jbgBKgBXOubDIG5gG/B44XKMtHPJ2wHIze9/Mbve3eT3v84BdwNP+KfOnzCwG7+dd001Alv++p/N2zm0HpgJfAkXAPufccjyeN/AxcLmZtTKzpsCVwLmcRt5eKuDsOG06xNaDzKwZsBAY55zbH+x46oNz7jv/FEsc0Mc/DO9pZnY1UOKcez/YsQRBP+dcL3xLQu40s8uDHVA9aAT0AmY5534KHMBj02cnY2aNgaHAgmDHUh/8a7yGAV2ADkCMmd0c3KgCzzmXB2QAK4DXgA/xLQ+qNS8VcIX4qtgqcfiGY8NFsZnFAvh/lgQ5noAwsyh8xdvfnXP/8DeHRe4A/imlVfjWQHo9737AUDMrwLck4gozexbv541zbof/Zwm+9VB98H7ehUChf3QZ4AV8BZ3X867yK+AD51yx/7HX8/4F8IVzbpdzrgL4B3AZ3s8b59xs51wv59zl+JZD5XMaeXupgFsPJJhZF/83mZuAJUGOqT4tAdL899OAxUGMJSDMzPCtj8lzzv2lxlOezt3M2phZS//9Jvh2fJ/g8bydc//lnItzzsXj+3t+3Tl3Mx7P28xizKx51X1gML5pF0/n7ZzbCWwzs27+poFALh7Pu4aRfD99Ct7P+0vgEjNr6t+3D8S3rtnreWNmbf0/OwHX4/vca523p07ka2ZX4lszEwnMcc49HOSQAsLMsoD+QGugGJgILALmA53w/WHc4Jw7+kCHkGZmKcBbwEd8vybqD/jWwXk2dzNLwreoNRLfl675zrmHzKwVHs67JjPrD9ztnLva63mb2Xn4Rt3AN634f865h72eN4CZJeM7YKUxsAW4FX+fx9t5N8W3hvs859w+f1s4fN4PAjfim0LMAW4DmuH9vN8CWgEVwHjnXPbpfN6eKuBEREREwoGXplBFREREwoIKOBEREZEQowJOREREJMSogBMREREJMSrgREREREKMCjgRET8zu87MnJmdH+xYRERORgWciMj3RgJv4ztxsIhIg6UCTkSE6mvs9gPG4C/gzCzCzP5qZpvM7GUzW2pmw/3P9TazN/wXnF9WdRkcEZH6oAJORMTnWuA159xnwG4z64XvMjfxQE98Z4m/FKqvyfs4MNw51xuYA3jyyi8i0jA1CnYAIiINxEh8l+IDeM7/OApY4Jw7DOw0s5X+57sBFwArfJdxJBIoqt9wRSScqYATkbDnvw7hFcAFZubwFWSO769JesxbgE3OuUvrKUQRkSNoClVEBIYDzzjnOjvn4p1z5wJfAF8Bqf61cO2A/v7Xfwq0MbPqKVUz6xGMwEUkPKmAExHxTZcePdq2EOgAFAIfA38D3gX2OefK8RV9GWb2IbABuKz+whWRcGfOuWDHICLSYJlZM+dcmX+adR3Qzzm3M9hxiUh40xo4EZGTe9nMWgKNgUkq3kSkIdAInIiIiEiI0Ro4ERERkRCjAk5EREQkxKiAExEREQkxKuBEREREQowKOBEREZEQowJOREREJMT8P/Vw6scYVlomAAAAAElFTkSuQmCC\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "constituency_age_profile('foyle')" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### North Antrim: 40 is the new 30" ] }, { "cell_type": "code", "execution_count": 112, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:31.648149Z", "start_time": "2018-10-15T11:20:31.067458Z" } }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "constituency_age_profile('north antrim')" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Growing Up in the (Lagan) Valley" ] }, { "cell_type": "code", "execution_count": 113, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:32.227393Z", "start_time": "2018-10-15T11:20:31.649954Z" } }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "constituency_age_profile('lagan valley')" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Fast times at Belfast Unis/Colleges" ] }, { "cell_type": "code", "execution_count": 163, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:32.544974Z", "start_time": "2018-10-15T11:20:32.229450Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "execution_count": 163, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df = cons_pop[(cons_pop.Gender == 'All persons') \\\n", " & (cons_pop.Mid_Year_Ending == 2018)]\\\n", ".groupby(['Age','constituency'])['Population_Estimate'].sum().unstack()\n", "df.iplot()" ] }, { "cell_type": "code", "execution_count": 115, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:32.780401Z", "start_time": "2018-10-15T11:20:32.547947Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 115, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f,ax = plt.subplots(figsize=graph_figsize)\n", "sns.heatmap(df.T, ax=ax)" ] }, { "cell_type": "code", "execution_count": 164, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:33.125412Z", "start_time": "2018-10-15T11:20:32.782550Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "execution_count": 164, "metadata": {}, "output_type": "execute_result" } ], "source": [ "def colnorm(df):\n", " return (df-df.min())/(df.max()-df.min())\n", "colnorm(df).iplot()" ] }, { "cell_type": "code", "execution_count": 117, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:33.402848Z", "start_time": "2018-10-15T11:20:33.127477Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 117, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f,ax = plt.subplots(figsize=graph_figsize)\n", "sns.heatmap(colnorm(df).T, ax=ax)" ] }, { "cell_type": "code", "execution_count": 118, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:33.432777Z", "start_time": "2018-10-15T11:20:33.410242Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "def year_age_profile(yr=2016):\n", " constituencies = list(cons_pop.groupby(\"constituency\")['Population_Estimate'].sum().sort_values(ascending=True).keys())\n", " label = f\"Population profile for NI in {yr}\"\n", " f,ax = plt.subplots(figsize=graph_figsize)\n", " colors = plt.cm.jet(np.linspace(0,1,len(constituencies)))\n", " for constituency,c in zip(constituencies,colors):\n", " pop_cumsum = cons_pop[(cons_pop.Gender == 'All persons') \\\n", " & (cons_pop.constituency==constituency)\\\n", " & (cons_pop.Mid_Year_Ending == yr)]\\\n", " .groupby('Age')['Population_Estimate'].sum().cumsum()\n", " pop_cumsum.plot(ax=ax, label=constituency, c=c)\n", " age_quartiles = [idxquantile(pop_cumsum, q) for q in [0.25,0.5,0.75]]\n", " ax.vlines(age_quartiles, ymin=pop_cumsum.min(), ymax = pop_cumsum[age_quartiles],color=c,alpha=0.2)\n", " ax.legend()\n", " ax.set_title(label)" ] }, { "cell_type": "code", "execution_count": 119, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:34.200468Z", "start_time": "2018-10-15T11:20:33.440303Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "year_age_profile()" ] }, { "cell_type": "code", "execution_count": 120, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:34.265560Z", "start_time": "2018-10-15T11:20:34.202369Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "cons_pop_qilted=pd.DataFrame.from_dict(\n", " {\n", " qtile:cons_pop[(cons_pop.Gender == 'All persons') \\\n", " & (cons_pop.Mid_Year_Ending == 2018) \\\n", " & (lotile" ] }, "execution_count": 124, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f,ax = plt.subplots(figsize=graph_figsize)\n", "cons_stats.plot(column='age_2018_avg', legend=True, ax=ax)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Top Quartile\n", "\n", "Who rules the roost" ] }, { "cell_type": "code", "execution_count": 125, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:35.290961Z", "start_time": "2018-10-15T11:20:35.178542Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 125, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f,ax = plt.subplots(figsize=graph_figsize)\n", "cons_stats.plot(column='topqt_2018', legend=True, ax=ax)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Mars and Venus" ] }, { "cell_type": "code", "execution_count": 127, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:35.629165Z", "start_time": "2018-10-15T11:20:35.293246Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 127, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f,ax = plt.subplots(figsize=graph_figsize)\n", "cons_stats.plot(column='pop_2018_m_per_f', legend=True, ax=ax)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Enroled Pupils per Capita\n", "Lagan Valley and South Antrim popping up again!" ] }, { "cell_type": "code", "execution_count": 128, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:35.753380Z", "start_time": "2018-10-15T11:20:35.631470Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 128, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f,ax = plt.subplots(figsize=graph_figsize)\n", "cons_stats.plot(column='en_2018_pc', legend=True, ax=ax)" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-06-08T13:57:52.123407Z", "start_time": "2018-06-08T13:57:52.120114Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "### Available Places per Capita" ] }, { "cell_type": "code", "execution_count": 129, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:36.081054Z", "start_time": "2018-10-15T11:20:35.758414Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 129, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f,ax = plt.subplots(figsize=graph_figsize)\n", "cons_stats.plot(column='av_2018_pc', legend=True, ax=ax)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Free School Meals" ] }, { "cell_type": "code", "execution_count": 130, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:36.165621Z", "start_time": "2018-10-15T11:20:36.084473Z" } }, "outputs": [], "source": [ "fsm_df= pd.DataFrame.from_dict({\n", " con:\n", " fsm[:,reference.major_axis[(reference.minor_xs('parliamentary constituency')==con).any(axis=1)],'fsme'].sum()\n", " for con in cons\n", "}).T.drop(np.nan)\n", "\n", "for c in fsm_df:\n", " cons_stats[f\"fsm_{c}\"] = fsm_df[c]\n", " cons_stats[f\"fsm_{c}_rat\"] = (fsm_df[c]/en_df[c])" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### FSM / Enrolled" ] }, { "cell_type": "code", "execution_count": 131, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:36.318580Z", "start_time": "2018-10-15T11:20:36.167695Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 131, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f,ax = plt.subplots(figsize=graph_figsize)\n", "cons_stats.plot(column='fsm_2018_rat', legend=True, ax=ax)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### FSM is (loosly) a young persons problem" ] }, { "cell_type": "code", "execution_count": 132, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:37.510166Z", "start_time": "2018-10-15T11:20:36.323812Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 132, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "unyearify = lambda c:'_'.join([c.split('_')[0]]+c.split('_')[2:])\n", "cons_stats_2018 = cons_stats[[c for c in cons_stats.columns if '2016' in c]].rename(columns=unyearify)\n", "\n", "sns.pairplot(data=cons_stats_2018, hue='topqt',\n", " vars=['age_avg','fsm_rat','pop_m_per_f'])" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### \"I'm bored, make a GIF!\"" ] }, { "cell_type": "code", "execution_count": 134, "metadata": { "ExecuteTime": { "end_time": "2018-10-16T15:41:34.483577Z", "start_time": "2018-10-16T15:41:34.466500Z" } }, "outputs": [ { "data": { "text/plain": [ "constituency\n", "west tyrone 3.758358\n", "fermanagh and south tyrone 3.877875\n", "east londonderry 5.060893\n", "north antrim 6.599166\n", "mid ulster 6.663019\n", "south antrim 7.245589\n", "south down 8.580430\n", "east antrim 10.731139\n", "strangford 10.986957\n", "newry and armagh 11.292432\n", "lagan valley 12.121635\n", "upper bann 21.269880\n", "foyle 51.251716\n", "north down 51.455008\n", "belfast east 145.575392\n", "belfast west 171.879339\n", "belfast north 191.678771\n", "belfast south 205.419188\n", "Name: en_2018_pk, dtype: float64" ] }, "execution_count": 134, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cons_stats['en_2018_pk'].sort_values()" ] }, { "cell_type": "code", "execution_count": 147, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:20:37.763985Z", "start_time": "2018-10-15T11:20:37.511947Z" }, "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "import matplotlib.animation as animation\n", "\n", "unyearify = lambda c:'_'.join([c.split('_')[0]]+c.split('_')[2:])\n", "years = list(range(2009,2019))\n", "explanations={\n", " 'age_avg': \"Average Age\",\n", " 'av_pc': \"Available School Places per capita\",\n", " 'av_rat': \"Ratio of Available Places to Actualised Enrolment\",\n", " 'av': \"Available School Places\",\n", " 'en_pc': \"Enrolled Pupils per capita\",\n", " 'en_pk': \"Enrolled Pupils per $km^2$\",\n", " 'en': \"Enrolled Pupils\",\n", " 'fsm_rat': \"Ratio of FSM pupils to total pupils\",\n", " 'fsm': \"FSM pupils\",\n", " 'pop': \"Population\",\n", " 'pop_females': \"Population (F)\",\n", " 'pop_males': \"Population (M)\",\n", " 'pop_m_per_f': \"Ratio of Males to Females\",\n", " 'topqt': \"Most populous age quartile (Age or younger)\"\n", "}" ] }, { "cell_type": "code", "execution_count": 148, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:21:17.619413Z", "start_time": "2018-10-15T11:20:37.767557Z" }, "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "geometry:2009 failed\n", "geometry:2010 failed\n", "geometry:2011 failed\n", "geometry:2012 failed\n", "geometry:2013 failed\n", "geometry:2014 failed\n", "geometry:2015 failed\n", "geometry:2016 failed\n", "geometry:2017 failed\n", "geometry:2018 failed\n", "av_pc:2009 failed\n", "av_rat:2009 failed\n", "av:2009 failed\n" ] } ], "source": [ "for metric in set(map(unyearify, cons_stats.columns)):\n", " for year in years:\n", " try:\n", " f, ax = plt.subplots(figsize=graph_figsize)\n", " if metric in explanations:\n", " ax.set_title(f\"{explanations[metric]}:({year})\")\n", " else:\n", " ax.set_title(f\"{metric}:({year})\")\n", " \n", " cons_stats[[c for c in cons_stats.columns if str(year) in c]+['geometry']]\\\n", " .rename(columns=unyearify).plot(column=metric, legend=True, ax=ax)\n", " ax.axis('off')\n", " f.tight_layout()\n", " p = Path(f\"outputs/{metric}/{year}.png\")\n", " p.parent.mkdir(parents=True, exist_ok=True)\n", " f.savefig(p)\n", " plt.close(f)\n", " fps = 12\n", " except:\n", " print(f\"{metric}:{year} failed\")\n", " finally:\n", " if f:\n", " plt.close(f)" ] }, { "cell_type": "code", "execution_count": 149, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T11:21:35.446973Z", "start_time": "2018-10-15T11:21:17.621419Z" }, "code_folding": [], "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/av_pc.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " 92%|█████████▏| 12/13 [00:00<00:00, 21.65it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/grampct.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " 80%|████████ | 4/5 [00:00<00:00, 15.46it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/pop.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 14/14 [00:00<00:00, 21.37it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/pop_males.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 14/14 [00:00<00:00, 23.06it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/av.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n", " 92%|█████████▏| 12/13 [00:00<00:00, 22.79it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/en_pk.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 14/14 [00:00<00:00, 26.26it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/en_pc.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 14/14 [00:00<00:00, 22.28it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/age_avg.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 14/14 [00:00<00:00, 20.47it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/pairplot.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " 92%|█████████▏| 11/12 [00:00<00:00, 13.84it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/fsm.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 14/14 [00:00<00:00, 19.28it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/pop_females.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 14/14 [00:00<00:00, 20.01it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/fsm_rat.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 14/14 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[ "import moviepy.editor as mpy\n", "import moviepy.video as mpyv\n", "clips = {}\n", "for p in Path('outputs/').iterdir():\n", " if not p.is_dir():\n", " continue\n", " metric = p.parts[-1]\n", " file_list = [str(_p) for _p in sorted(filter(lambda s:s.suffix=='.png', p.iterdir()))]\n", " clip = mpy.ImageSequenceClip(file_list, fps=1.5)\n", " clip = mpyv.fx.all.freeze(clip, t='end', freeze_duration=2)\n", " clip.write_gif(f\"outputs/{metric}.gif\")\n", " clips[metric]=clip\n", " " ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### We're getting older, or at least living longer\n", "![](outputs/age_avg.gif)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### But younger people are taking over the west\n", "![](outputs/topqt.gif)" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-06-08T17:32:52.044695Z", "start_time": "2018-06-08T17:32:51.907125Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "### 💕 Go West for Men, or West Belfast for Women 💕 \n", "10% fewer men than women in West Belfast, ~2% more men than women out west\n", "![](outputs/pop_m_per_f.gif)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Free School Meals are rising with population\n", "![](outputs/fsm.gif)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### But the divide is getting wider per capita\n", "![](outputs/fsm_rat.gif)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### There aren't necessarily fewer available school places either...\n", "There just aren't any where people want to send their kids...\n", "\n", "Could *possibly* indicate over-provisioning in yellow areas...\n", "![](outputs/av_pc.gif)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "### Population distribution isn't really changing at all\n", "![](outputs/pop.gif)" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-06-08T18:00:05.675285Z", "start_time": "2018-06-08T18:00:05.537181Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "### And as such, noones sending their kids anywhere differently despite closures...\n", "\n", "![](outputs/en_pc.gif)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## Population Distribution Shifts" ] }, { "cell_type": "code", "execution_count": 150, "metadata": { "ExecuteTime": { "end_time": "2018-10-15T14:36:59.112557Z", "start_time": "2018-10-15T14:36:24.227491Z" }, "slideshow": { "slide_type": "-" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/av_pc.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " 92%|█████████▏| 12/13 [00:00<00:00, 23.21it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/grampct.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n", " 80%|████████ | 4/5 [00:00<00:00, 15.65it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/pop.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 14/14 [00:00<00:00, 23.14it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/pop_males.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 14/14 [00:00<00:00, 23.98it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/av.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n", " 92%|█████████▏| 12/13 [00:00<00:00, 22.89it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/en_pk.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 14/14 [00:00<00:00, 23.46it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/en_pc.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 14/14 [00:00<00:00, 20.55it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/age_avg.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 14/14 [00:00<00:00, 19.87it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/pairplot.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " 92%|█████████▏| 11/12 [00:00<00:00, 13.56it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/fsm.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 14/14 [00:00<00:00, 22.23it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/pop_females.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 14/14 [00:00<00:00, 21.60it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/fsm_rat.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n", "100%|██████████| 14/14 [00:00<00:00, 24.76it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/pop_m_per_f.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 14/14 [00:00<00:00, 21.88it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/gram_pct.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " 80%|████████ | 4/5 [00:00<00:00, 15.57it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/av_rat.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " 92%|█████████▏| 12/13 [00:00<00:00, 21.79it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/en.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 14/14 [00:00<00:00, 21.56it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/topqt.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 14/14 [00:00<00:00, 20.91it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/gram_rat.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ " 80%|████████ | 4/5 [00:00<00:00, 14.44it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/Population Distribution.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 14/14 [00:00<00:00, 22.45it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "[MoviePy] Building file outputs/Population Distribution _normed_.gif with imageio\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n", "100%|██████████| 14/14 [00:00<00:00, 21.59it/s]\n" ] } ], "source": [ "metric='Population Distribution'\n", "for year in years:\n", " try:\n", " f, ax = plt.subplots(figsize=graph_figsize)\n", " if metric in explanations:\n", " ax.set_title(f\"{explanations[metric]}:({year})\")\n", " else:\n", " ax.set_title(f\"{metric}:({year})\")\n", "\n", " df = cons_pop[(cons_pop.Gender == 'All persons') \\\n", " & (cons_pop.Mid_Year_Ending == year)]\\\n", " .groupby(['Age','constituency'])['Population_Estimate']\\\n", " .sum().unstack()\n", " sns.heatmap(df.T, ax=ax)\n", " f.tight_layout()\n", " p = Path(f\"outputs/{metric}/{year}.png\")\n", " p.parent.mkdir(parents=True, exist_ok=True)\n", " f.savefig(p)\n", " plt.close(f)\n", "\n", " fps = 12\n", " except:\n", " print(f\"{metric}:{year} failed\")\n", " finally:\n", " if f:\n", " plt.close(f)\n", " \n", "metric='Population Distribution _normed_'\n", "for year in years:\n", " try:\n", " f, ax = plt.subplots(figsize=graph_figsize)\n", " if metric in explanations:\n", " ax.set_title(f\"{explanations[metric]}:({year})\")\n", " else:\n", " ax.set_title(f\"{metric}:({year})\")\n", "\n", " df = cons_pop[(cons_pop.Gender == 'All persons') \\\n", " & (cons_pop.Mid_Year_Ending == year)]\\\n", " .groupby(['Age','constituency'])['Population_Estimate']\\\n", " .sum().unstack()\n", " sns.heatmap(colnorm(df.T), ax=ax)\n", " f.tight_layout()\n", " p = Path(f\"outputs/{metric}/{year}.png\")\n", " p.parent.mkdir(parents=True, exist_ok=True)\n", " f.savefig(p)\n", " plt.close(f)\n", "\n", " fps = 12\n", " except:\n", " print(f\"{metric}:{year} failed\")\n", " finally:\n", " if f:\n", " plt.close(f)\n", "\n", "clips = {}\n", "for p in Path('outputs/').iterdir():\n", " if not p.is_dir():\n", " continue\n", " metric = p.parts[-1]\n", " file_list = [str(_p) for _p in sorted(filter(lambda s:s.suffix=='.png', p.iterdir()))]\n", " clip = mpy.ImageSequenceClip(file_list, fps=1.5)\n", " clip = mpyv.fx.all.freeze(clip, t='end', freeze_duration=2)\n", " clip.write_gif(f\"outputs/{metric}.gif\")\n", " clips[metric]=clip\n", " " ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-10-15T14:32:25.679087Z", "start_time": "2018-10-15T14:32:25.389873Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-10-15T14:35:50.683731Z", "start_time": "2018-10-15T14:35:50.528212Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-06-08T15:29:57.337119Z", "start_time": "2018-06-08T15:29:43.951Z" }, "slideshow": { "slide_type": "slide" } }, "source": [ "# Conclusions\n", "## Hypotheses / conjectures\n", "* East Antrim Constituency is literally 'little britain'\n", "* None wants to go to school in West Belfast for some reason\n", "* Everyone wants to go to school in North Down\n", "* The 'places' scandal is either over blown, or more related to 'preference'\n", "* There is a demographic wave of <11's that is gonna hit education system in 2 years. Good luck.\n", "* South Belfast steals all-the-18-year-olds, keeps em for a decade or so and then the go home\n", "* Foyle has been experiencing a sustained brain drain of < 35's that is now impacting services" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## Final Comments\n", "* Data is hard\n", "* Open Data is hard without a budget\n", "* 80/20 rule is more like 90/10" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-06-08T18:08:16.298279Z", "start_time": "2018-06-08T18:08:16.287156Z" }, "slideshow": { "slide_type": "slide" } }, "source": [ "# Idiots Guide to (Open) Data Science\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", "* Machine Learning Team Lead at [WhiteHatSec](https://www.whitehatsec.com) \n", " * **We're hiring** (Placements also available)\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)" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2018-06-05T17:32:52.359231Z", "start_time": "2018-06-05T17:32:52.356493Z" }, "slideshow": { "slide_type": "subslide" } }, "source": [ "### NOTES FOR LATER\n", "\n", "#### Fucked Notes:\n", "##### DoE\n", "* inconsistent file names\n", "* inconsistent extensions\n", "* inconsistent cases in extentions 🤦‍\n", "* changing schema almost every year\n", "* recent years don't have headers for de ref/school name\n", "* multi row headers\n", "* Changing \"All People\" to \"All persons\" silently...\n", "\n", "\n", "#### Housing Stock Data\n", "https://www.opendatani.gov.uk/dataset/ni-housing-stock\n", "\n", "\n", "#### SEN scaling is complex AF\n", "https://www.education-ni.gov.uk/sites/default/files/publications/de/the-code-of-practice.pdf\n", "\n", "~ hundred page doc to work out that 5 is 'confirmed and fully stated special educational needs. Everthing less is 'suspected and in need of advice and support'\n", "\n", "\"Controlled and Maintained schools have [a budget] for this\"\n", "\"Grant maintained integrated schools also receive this through their annual budget\"" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "celltoolbar": "Slideshow", "kernelspec": { "display_name": "Python [conda env:uumagee]", "language": "python", "name": "conda-env-uumagee-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": "3.6.7" }, "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": true, "toc_window_display": false } }, "nbformat": 4, "nbformat_minor": 2 }