{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "Internet use and religion in Europe, part three\n", "-----------------------------------------\n", "\n", "This notebook presents explorations of the association between Internet use and religion in Europe, using data from the European Social Survey (http://www.europeansocialsurvey.org).\n", "\n", "Copyright 2015 Allen Downey\n", "\n", "MIT License: http://opensource.org/licenses/MIT" ] }, { "cell_type": "code", "execution_count": 100, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from __future__ import print_function, division\n", "\n", "import string\n", "import random\n", "\n", "import numpy as np\n", "import pandas as pd\n", "import statsmodels.formula.api as smf\n", "\n", "import thinkstats2\n", "import thinkplot\n", "import matplotlib.pyplot as plt\n", "\n", "import ess\n", "\n", "%matplotlib inline" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Read all data" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 13.9 s, sys: 1.58 s, total: 15.4 s\n", "Wall time: 15.4 s\n" ] } ], "source": [ "%time cycles = ess.read_all_cycles()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Clean the data" ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 12 ms, sys: 0 ns, total: 12 ms\n", "Wall time: 11.2 ms\n", "CPU times: user 8 ms, sys: 0 ns, total: 8 ms\n", "Wall time: 9.02 ms\n", "CPU times: user 4 ms, sys: 4 ms, total: 8 ms\n", "Wall time: 8.55 ms\n", "CPU times: user 8 ms, sys: 4 ms, total: 12 ms\n", "Wall time: 9.56 ms\n", "CPU times: user 8 ms, sys: 0 ns, total: 8 ms\n", "Wall time: 9.35 ms\n" ] } ], "source": [ "for cycle in cycles:\n", " %time ess.clean_cycle(cycle)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Resample" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 336 ms, sys: 52 ms, total: 388 ms\n", "Wall time: 388 ms\n", "22 countries\n", "25 countries\n", "23 countries\n", "29 countries\n", "27 countries\n" ] } ], "source": [ "%time cycle_maps = [ess.resample(cycle) for cycle in cycles]\n", "for cycle_map in cycle_maps:\n", " print(len(cycle_map), 'countries')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Remove a few countries from a few cycles where they are missing data." ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 0 ns, sys: 0 ns, total: 0 ns\n", "Wall time: 574 µs\n" ] } ], "source": [ "%time ess.remove_missing(cycle_maps)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Replace income and education with ranks" ] }, { "cell_type": "code", "execution_count": 35, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 148 ms, sys: 0 ns, total: 148 ms\n", "Wall time: 147 ms\n", "CPU times: user 160 ms, sys: 0 ns, total: 160 ms\n", "Wall time: 162 ms\n", "CPU times: user 160 ms, sys: 0 ns, total: 160 ms\n", "Wall time: 160 ms\n", "CPU times: user 248 ms, sys: 0 ns, total: 248 ms\n", "Wall time: 248 ms\n", "CPU times: user 200 ms, sys: 0 ns, total: 200 ms\n", "Wall time: 201 ms\n" ] } ], "source": [ "for cycle_map in cycle_maps:\n", " %time ess.replace_with_ranks(cycle_map)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Fill missing values" ] }, { "cell_type": "code", "execution_count": 36, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 280 ms, sys: 84 ms, total: 364 ms\n", "Wall time: 365 ms\n", "CPU times: user 296 ms, sys: 100 ms, total: 396 ms\n", "Wall time: 396 ms\n", "CPU times: user 284 ms, sys: 116 ms, total: 400 ms\n", "Wall time: 402 ms\n", "CPU times: user 384 ms, sys: 116 ms, total: 500 ms\n", "Wall time: 502 ms\n", "CPU times: user 356 ms, sys: 120 ms, total: 476 ms\n", "Wall time: 478 ms\n" ] } ], "source": [ "for cycle_map in cycle_maps:\n", " %time ess.fill_vars_by_country(cycle_map)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Contatenate the countries within each cycle" ] }, { "cell_type": "code", "execution_count": 38, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 72 ms, sys: 16 ms, total: 88 ms\n", "Wall time: 88.2 ms\n", "37937\n", "43709\n", "43000\n", "56752\n", "52458\n" ] } ], "source": [ "%time dfs = [ess.concat_groups(cycle_map) for cycle_map in cycle_maps]\n", "for df in dfs:\n", " print(len(df))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Contatenate the cycles" ] }, { "cell_type": "code", "execution_count": 39, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 16 ms, sys: 12 ms, total: 28 ms\n", "Wall time: 24.9 ms\n", "(233856, 32)\n" ] } ], "source": [ "%time df = pd.concat(dfs, ignore_index=True)\n", "print(df.shape)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Group by country" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "34" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "grouped = df.groupby('cntry')\n", "len(grouped)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The previous steps are now in two functions. The first reads and cleans the data:" ] }, { "cell_type": "code", "execution_count": 40, "metadata": { "collapsed": false }, "outputs": [], "source": [ "%time cycles = ess.read_and_clean()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The second resamples and fills" ] }, { "cell_type": "code", "execution_count": 44, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "resampling\n", "removing\n", "replacing\n", "Round 1\n", "HU hinctnta\n", "IE hinctnta\n", "Round 2\n", "EE hinctnta\n", "UA hinctnta\n", "Round 3\n", "HU hinctnta\n", "EE hinctnta\n", "UA hinctnta\n", "Round 4\n", "BG hinctnta\n", "CY hinctnta\n", "SK hinctnta\n", "Round 5\n", "PT hinctnta\n", "filling\n", "concating\n", "CPU times: user 3 s, sys: 628 ms, total: 3.62 s\n", "Wall time: 3.64 s\n" ] } ], "source": [ "%time df = ess.resample_and_fill(cycles)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "I run the resampling process a few hundred times and store the results in HDF" ] }, { "cell_type": "code", "execution_count": 45, "metadata": { "collapsed": false }, "outputs": [], "source": [ "store = pd.HDFStore('ess.resamples.h5')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It's pretty fast, considering the size of these DataFrames.\n" ] }, { "cell_type": "code", "execution_count": 46, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 124 ms, sys: 56 ms, total: 180 ms\n", "Wall time: 182 ms\n" ] } ], "source": [ "%time store.put('df', df)" ] }, { "cell_type": "code", "execution_count": 48, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 32 ms, sys: 24 ms, total: 56 ms\n", "Wall time: 54.5 ms\n" ] } ], "source": [ "%time df = store.get('df')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "I store the dataframe using random keys." ] }, { "cell_type": "code", "execution_count": 91, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "'KzFWeo'" ] }, "execution_count": 91, "metadata": {}, "output_type": "execute_result" } ], "source": [ "def random_name():\n", " t = [random.choice(string.ascii_letters) for i in range(6)]\n", " return ''.join(t)\n", "\n", "random_name()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Add dataframes to the store" ] }, { "cell_type": "code", "execution_count": 378, "metadata": { "collapsed": false }, "outputs": [], "source": [ "def add_frames(n):\n", " for i in range(n):\n", " name = random_name()\n", " print(name)\n", " df = ess.resample_and_fill(cycles)\n", " store.put(name, df)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "How many dataframes in the store?" ] }, { "cell_type": "code", "execution_count": 379, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "204" ] }, "execution_count": 379, "metadata": {}, "output_type": "execute_result" } ], "source": [ "keys = store.keys()\n", "len(keys)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Pick one at random" ] }, { "cell_type": "code", "execution_count": 199, "metadata": { "collapsed": false }, "outputs": [], "source": [ "key = random.choice(keys)\n", "df = store.get(key)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And run the logit model" ] }, { "cell_type": "code", "execution_count": 201, "metadata": { "collapsed": false }, "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", "
Logit Regression Results
Dep. Variable: hasrelig_f No. Observations: 233856
Model: Logit Df Residuals: 233847
Method: MLE Df Model: 8
Date: Wed, 18 Nov 2015 Pseudo R-squ.: 0.03130
Time: 13:25:33 Log-Likelihood: -1.4810e+05
converged: True LL-Null: -1.5289e+05
LLR p-value: 0.000
\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", "
coef std err z P>|z| [95.0% Conf. Int.]
Intercept 1.1474 0.017 68.390 0.000 1.114 1.180
inwyr07_f 0.0511 0.002 32.995 0.000 0.048 0.054
yrbrn60_f -0.0084 0.000 -30.239 0.000 -0.009 -0.008
edurank_f -0.0107 0.017 -0.631 0.528 -0.044 0.023
hincrank_f 0.0810 0.016 5.093 0.000 0.050 0.112
tvtot_f -0.0200 0.002 -8.940 0.000 -0.024 -0.016
rdtot_f -0.0158 0.002 -9.419 0.000 -0.019 -0.013
nwsptot_f -0.0317 0.004 -8.825 0.000 -0.039 -0.025
netuse_f -0.1130 0.002 -64.205 0.000 -0.116 -0.110
" ], "text/plain": [ "\n", "\"\"\"\n", " Logit Regression Results \n", "==============================================================================\n", "Dep. Variable: hasrelig_f No. Observations: 233856\n", "Model: Logit Df Residuals: 233847\n", "Method: MLE Df Model: 8\n", "Date: Wed, 18 Nov 2015 Pseudo R-squ.: 0.03130\n", "Time: 13:25:33 Log-Likelihood: -1.4810e+05\n", "converged: True LL-Null: -1.5289e+05\n", " LLR p-value: 0.000\n", "==============================================================================\n", " coef std err z P>|z| [95.0% Conf. Int.]\n", "------------------------------------------------------------------------------\n", "Intercept 1.1474 0.017 68.390 0.000 1.114 1.180\n", "inwyr07_f 0.0511 0.002 32.995 0.000 0.048 0.054\n", "yrbrn60_f -0.0084 0.000 -30.239 0.000 -0.009 -0.008\n", "edurank_f -0.0107 0.017 -0.631 0.528 -0.044 0.023\n", "hincrank_f 0.0810 0.016 5.093 0.000 0.050 0.112\n", "tvtot_f -0.0200 0.002 -8.940 0.000 -0.024 -0.016\n", "rdtot_f -0.0158 0.002 -9.419 0.000 -0.019 -0.013\n", "nwsptot_f -0.0317 0.004 -8.825 0.000 -0.039 -0.025\n", "netuse_f -0.1130 0.002 -64.205 0.000 -0.116 -0.110\n", "==============================================================================\n", "\"\"\"" ] }, "execution_count": 201, "metadata": {}, "output_type": "execute_result" } ], "source": [ "formula = ('hasrelig_f ~ inwyr07_f + yrbrn60_f + edurank_f + hincrank_f +'\n", " 'tvtot_f + rdtot_f + nwsptot_f + netuse_f')\n", "res = ess.run_model(df, formula)\n", "res.summary()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "I use Country objects to collect data associated with each country." ] }, { "cell_type": "code", "execution_count": 318, "metadata": { "collapsed": false }, "outputs": [], "source": [ "class Country:\n", " def __init__(self, code, nobs):\n", " self.code = code\n", " self.name = ess.country_name(code)\n", " self.nobs = nobs\n", " self.mean_map = {}\n", " self.param_map = {}\n", "\n", " def add_mean(self, means):\n", " self.mean_seq.append(means)\n", " \n", " def add_params(self, params):\n", " self.param_seq.append(params)\n", " \n", " def add_params2(self, params):\n", " self.param2_seq.append(params)\n", " \n", " def get_means(self, varname):\n", " t = [mean[varname] for mean in self.mean_seq]\n", " return np.array(t)\n", "\n", " def get_params(self, varname):\n", " t = [params[varname] for params in self.param_seq]\n", " return np.array(t)\n", "\n", " def get_params2(self, varname):\n", " t = [params[varname] for params in self.param2_seq]\n", " return np.array(t)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Make the country objects" ] }, { "cell_type": "code", "execution_count": 290, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Austria\n", "Belgium\n", "Bulgaria\n", "Switzerland\n", "Cyprus\n", "Czech Republic\n", "Germany\n", "Denmark\n", "Estonia\n", "Spain\n", "Finland\n", "France\n", "United Kingdom\n", "Greece\n", "Croatia\n", "Hungary\n", "Ireland\n", "Israel\n", "Iceland\n", "Italy\n", "Lithuania\n", "Luxembourg\n", "Latvia\n", "Netherlands\n", "Norway\n", "Poland\n", "Portugal\n", "Romania\n", "Russia\n", "Sweden\n", "Slovenia\n", "Slovakia\n", "Turkey\n", "Ukraine\n" ] } ], "source": [ "keys = store.keys()\n", "key = random.choice(keys)\n", "df = store.get(key)\n", "\n", "grouped = df.groupby('cntry')\n", "country_map = {}\n", "\n", "for code, group in grouped:\n", " country_map[code] = Country(code, len(group))\n", " print(country_map[code].name)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For each resampled frame, run both models and store the results in the Country objects" ] }, { "cell_type": "code", "execution_count": 291, "metadata": { "collapsed": false }, "outputs": [], "source": [ "formula1 = ('hasrelig_f ~ inwyr07_f + yrbrn60_f + '\n", " 'edurank_f + hincrank_f +'\n", " 'tvtot_f + rdtot_f + nwsptot_f + netuse_f')\n", "\n", "formula2 = ('rlgdgr_f ~ inwyr07_f + yrbrn60_f + '\n", " 'edurank_f + hincrank_f +'\n", " 'tvtot_f + rdtot_f + nwsptot_f + netuse_f')\n", "\n", "def process_frame(df):\n", " grouped = df.groupby('cntry')\n", " for code, group in grouped:\n", " country = country_map[code]\n", " country.add_mean(group.mean())\n", " \n", " model = smf.logit(formula1, data=group) \n", " results = model.fit(disp=False)\n", " country.add_params(results.params)\n", " \n", " model = smf.ols(formula2, data=group) \n", " results = model.fit(disp=False)\n", " country.add_params2(results.params)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Process the dataframes in the store" ] }, { "cell_type": "code", "execution_count": 292, "metadata": { "collapsed": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/AAVZWa\n", "/ADbUvD\n", "/AJEDdF\n", "/AOacJP\n", "/AsSyrK\n", "/BIXejR\n", "/Blwttj\n", "/BytXnJ\n", "/CuiQgF\n", "/CxkVBv\n", "/DOKcxz\n", "/DSSzPM\n", "/DdpHTg\n", "/EBHNWn\n", "/EHuhuk\n", "/EIaigX\n", "/EOOBpB\n", "/EdeAYH\n", "/EiftYh\n", "/EoHBcy\n", "/Evkitq\n", "/FJboqX\n", "/FWawby\n", "/GIKXkG\n", "/GPBBMj\n", "/GYhuaT\n", "/GdTLTY\n", "/GeUlsB\n", "/GeolrR\n", "/GkMwBV\n", "/GownbC\n", "/GrCTmE\n", "/HGSBFA\n", "/HemGKU\n", "/HujYDN\n", "/IKLjEu\n", "/IORbkE\n", "/IXYMov\n", "/InEXbB\n", "/JKBolS\n", "/JVSJPq\n", "/JofMZK\n", "/JomohW\n", "/JznRlw\n", "/KEthFz\n", "/KFwczR\n", "/KUVnJc\n", "/KnKXTR\n", "/KuGUhG\n", "/KudtCP\n", "/LaUmLC\n", "/LissvE\n", "/LmraEV\n", "/MCmopN\n", "/MIdmWa\n", "/MgSdJx\n", "/NJjQrX\n", "/NfzPAX\n", "/OJZEtt\n", "/Oaksmf\n", "/OdhAjf\n", "/PJETsk\n", "/PXxSpS\n", "/PiWfGA\n", "/PptHII\n", "/PvfGpy\n", "/QTTYTa\n", "/QbhbQt\n", "/QoHLXF\n", "/QskeUe\n", "/QtkeEX\n", "/RHVBHl\n", "/RRpxwc\n", "/RYtpJo\n", "/RuCVox\n", "/RwJMYt\n", "/SHnJcB\n", "/ScbnLb\n", "/TOcaLi\n", "/TRVSRU\n", "/TaHTXL\n", "/UKzbGY\n", "/UVvNeb\n", "/UfXGIO\n", "/VHIVpS\n", "/VcRwRL\n", "/VgqgVe\n", "/VlUfcv\n", "/VzZAXk\n", "/WczOWP\n", "/WkLtrX\n", "/WkfCQW\n", "/WlHtRg\n", "/WwTDDj\n", "/WxWlWp\n", "/XGmIIH\n", "/XOxJQN\n", "/XhgvtL\n", "/YMsFSK\n", "/YeASVz\n", "/YoxGxL\n", "/YvdfEk\n", "/ZEEBve\n", "/ZXovwc\n", "/ZgSZAY\n", "/ZjGafB\n", "/ZxNahg\n", "/bJIOjl\n", "/bNKOFy\n", "/bOZZkd\n", "/blIIdK\n", "/btCIZx\n", "/bvntaM\n", "/cEzhky\n", "/cYiUkH\n", "/cgKsnt\n", "/czQkEF\n", "/dcjEvm\n", "/dqGBQR\n", "/dyuBXv\n", "/dzpDVu\n", "/eDVvJf\n", "/ewfhTI\n", "/fBFUGB\n", "/fEkGRW\n", "/ggYbXH\n", "/gnJSCF\n", "/hIQegI\n", "/hOQHWV\n", "/hTfXDB\n", "/hlJZff\n", "/hmmXxf\n", "/iABzcU\n", "/iGVZEK\n", "/iWltCV\n", "/iaTUMA\n", "/iiSwHC\n", "/ilWxnR\n", "/jNqZpZ\n", "/kVTeXb\n", "/kfAnDn\n", "/kuZzaN\n", "/lHDxRr\n", "/lfUmXq\n", "/lsXAWo\n", "/mbTfIj\n", "/mtyzJg\n", "/nOsmSf\n", "/ncvQcP\n", "/neEVfl\n", "/nnERGx\n", "/nnUXHn\n", "/nvZcGU\n", "/olGyuX\n", "/pezcXZ\n", "/qRQqmc\n", "/qWZfql\n", "/qchGUz\n", "/qfZVHF\n", "/qqYojL\n", "/rCrtjG\n", "/rSravW\n", "/rUWSeP\n", "/rYeOLP\n", "/rnYDRv\n", "/sPKzmv\n", "/shBLMW\n", "/siHRLd\n", "/ssTuqu\n", "/tIBOEC\n", "/tJaytt\n", "/taosRR\n", "/tazMjo\n", "/teuTPZ\n", "/tiUoXr\n", "/tjiIAT\n", "/tjjdLV\n", "/tuLFXm\n", "/uHhvHu\n", "/uOAidw\n", "/uWhsWV\n", "/uZGRbW\n", "/vPnlcH\n", "/vktdCG\n", "/vqFufP\n", "/vqxuWx\n", "/wGQrTR\n", "/wahSMf\n", "/wsvHYt\n", "/xfKUcU\n", "/xgAfWd\n", "/xjbtHM\n", "/xtqhXa\n", "/xwCakd\n", "/xxGtEc\n", "/yImumW\n", "/yKuLlN\n", "/ybmXrn\n", "/yfOjqX\n", "/ylSawW\n", "/zBUKWF\n", "/zYbdcJ\n", "/zvRkow\n", "/zyIeFR\n" ] } ], "source": [ "for key in store.keys():\n", " print(key)\n", " df = store.get(key)\n", " process_frame(df)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Check a country" ] }, { "cell_type": "code", "execution_count": 294, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "204" ] }, "execution_count": 294, "metadata": {}, "output_type": "execute_result" } ], "source": [ "varname = 'netuse_f'\n", "country = country_map['BE']\n", "params = country.get_params2(varname)\n", "len(params)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Extract the given parameters for each country" ] }, { "cell_type": "code", "execution_count": 380, "metadata": { "collapsed": false }, "outputs": [], "source": [ "def extract_params(country_map, param_func, varname):\n", " \"\"\"Extracts parameters.\n", " \n", " country_map: map from country code to Country\n", " param_func: function that takes country and returns param list\n", " varname: name of variable to get the mean of\n", " \n", " returns: list of (code, name, param, low, high, mean) tuple\n", " \"\"\"\n", " t = []\n", " for code, country in sorted(country_map.items()):\n", " name = country.name\n", "\n", " params = param_func(country)\n", " param = np.median(params)\n", " low = np.percentile(params, 2.5)\n", " high = np.percentile(params, 97.5)\n", " \n", " means = country.get_means(varname)\n", " mean = np.median(means)\n", " \n", " t.append((code, name, param, low, high, mean))\n", " \n", " t.sort(key=lambda x: x[2])\n", " return t" ] }, { "cell_type": "code", "execution_count": 384, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def extract_vars(country_map, exp_var, dep_var):\n", " def param_func(country):\n", " return country.get_params(exp_var)\n", "\n", " t = extract_params(country_map, param_func, dep_var)\n", " return t\n", "\n", "\n", "def extract_vars2(country_map, exp_var, dep_var):\n", " def param_func(country):\n", " return country.get_params2(exp_var)\n", "\n", " t = extract_params(country_map, param_func, dep_var)\n", " return t" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Plot confidence intervals for estimated parameters" ] }, { "cell_type": "code", "execution_count": 320, "metadata": { "collapsed": false }, "outputs": [], "source": [ "def plot_cis(t):\n", " plt.figure(figsize=(8,8))\n", "\n", " n = len(t)\n", " ys = n - np.arange(n)\n", " codes, names, params, lows, highs, means = zip(*t)\n", " plt.hlines(ys, lows, highs, color='blue', linewidth=2, alpha=0.5)\n", " plt.plot(params, ys, 'ws', markeredgewidth=0, markersize=15)\n", "\n", " for param, y, code in zip(params, ys, codes):\n", " plt.text(param, y, code, fontsize=10, color='blue', \n", " horizontalalignment='center',\n", " verticalalignment='center')\n", "\n", " plt.vlines(0, 0, n+1, color='gray', alpha=0.5)\n", " plt.yticks(ys, names)" ] }, { "cell_type": "code", "execution_count": 469, "metadata": { "collapsed": true }, "outputs": [], "source": [ "plot_counter = 1\n", "\n", "def save_plot(flag=False):\n", " global plot_counter\n", " if flag:\n", " root = 'ess3.%2.2d' % plot_counter\n", " thinkplot.Save(root=root, formats=['png'])\n", " plot_counter += 1" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Make a plot showing confidence interval for the given parameters" ] }, { "cell_type": "code", "execution_count": 470, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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XXoHnn4c992zZudZ2/J2XV70HJ+tJuhVYmyzZ3wu5Y/lFY/4MHEoWnHwDKLUm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\nZ1bSsMEJ0Au4StKjkqYAG5IS9gEQES8DPwFGAZOBCRFxR97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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "t = extract_vars(country_map, 'inwyr07_f', 'hasrelig_f')\n", "plot_cis(t)\n", "thinkplot.Config(title='Interview year',\n", " xlabel='log odds ratio interview year')\n", "save_plot()" ] }, { "cell_type": "code", "execution_count": 471, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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yAiPpEElXpuOr0v2PSZotaaik0ZKeKtSxyvaf/2R7r5iZWeWq9hGV7pKmkm11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\nYBRwqqQXgQdJuXweLRyUtCpwFrAZ8CEwStJewK2kVWtPylX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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "t = extract_vars(country_map, 'yrbrn60_f', 'hasrelig_f') \n", "plot_cis(t)\n", "thinkplot.Config(title='Year born',\n", " xlabel='log odds ratio year born')\n", "save_plot()" ] }, { "cell_type": "code", "execution_count": 472, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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PTsF/J5wAf/oTTJgAjzySvpt1RfU6crID8ElZSOBk4DBJe5baJF0naQ9JgyUN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\nZmYGtC8RoNU3J/7rRk78Z2ZmjcSJ/8zMzKwuODgxMzOzquL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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "t = extract_vars(country_map, 'edurank_f', 'hasrelig_f') \n", "plot_cis(t)\n", "thinkplot.Config(title='Education rank',\n", " xlabel='log odds ratio education rank')\n", "save_plot()" ] }, { "cell_type": "code", "execution_count": 473, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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zs5rg4MTMzMyqioMTMzMzqyoOTszMzKyq1OzbOpKWAx7Mu18A5gBvkd7K2SQi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\nNAv4dO66a6YkgHtV8ZGYWRlrrQWXXAIjR7YuP/dcuP32bMX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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "t = extract_vars(country_map, 'hincrank_f', 'hasrelig_f') \n", "plot_cis(t)\n", "thinkplot.Config(title='Income rank',\n", " xlabel='log odds ratio income rank')\n", "save_plot()" ] }, { "cell_type": "code", "execution_count": 474, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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qCFLMrLp1pEBlaUmvFb5OAOqAmyWNBaZSH1wMA/aRNEHSNrntRlJ15BsbXjgi\npgNXAJOAe4DH2/ajmLWPjz6ClVeu/zr/fNhlF3jzTTjwwHKPzsw6gg6z9FMJvPRjVh5e+jErDy/9\nmJmZWU1zoGJmZmYVy4GKmZmZVSwHKmZmZlaxqjJQaVhgUNJhkv5UrvGY1bpicUKAq66C445L24cd\nBkOHLri/mdniqspAhflzlJTtVRpJHT27r3UADbPPFvelBR83M2uJag1UGvr812KxUGDen5m/D5A0\nUtLNkp6VdE2hzzdy21hJF0oalts3l/RoLk74iKS1c/thku6U9ABwv6QhkvYqXO9aSXu2w+c2K4uG\nb9n7rXszayvVOhvQTdKEwn5v4I68vaDZlk2ArwBvAo9I2hoYD1wKbBcRr0i6rnDOs7l9rqSdgd8B\n++dj/YANI2K6pO2BE4A7JC0DbAV8rzU+qNmiau1CenV1MGsW9OtX3zZtGuy1V5OntNpYXBTQzKo1\nUJkVEZ//2pR0KLBZM84bExFv5HMmAqsBHwEvR8Qruc/1wFF5+wvA1ZLWJAUvxZ/X8JyRloh4SNIl\nkpYjBTK3RMRnjQ3ARQmtGnXrBhMKfxoMGQJjx6btxpZ5vPRj1jG1RVHCag1UGir+WvyUvKQlqROp\nKnLJ7ML2XNLnbzgDU7zW6cADEbGPpFVJ1ZNLPmpw3tWkWZQDmbdu0Dzq/CeitbH2+CdWXOpZdll4\n//36/WnTYLnl2m8sZlY5Gv4BPnjw4KY7N1OtPKNSNAXon7f3BLosoG8AzwOr50AEUqBR+jVcLFp4\n+ELuexXwUyAi4rlFG7JZ9RowAG68EebMSftXXZWqK5uZtYZqnVFp7DmUUtsVpGdFJpIKBM5cwHlE\nxMeSjgHukfQhqUpyqd8fgSGSTgXuLrRHw2tFxDuSngFuW+xPZVahGnurp9T2zW/CuHHQvz907gxr\nrgmXXtr+YzSz2uSihICk7hHxYd6+GPhPRFywiNdYGngS6BcRM5ro46KEZmXgooRm5eGihK3nSEkT\nJD1NWu65bFFOzm8EPQNc2FSQYmZmZouuWpd+WlVEnA+c34Lz7wf6ttqAzMzMDPCMipmZmVWwBQYq\nkvpKeqpBW52kExdyXn9JF+TtHSRttagDkzRFUu8Ftef7vCxpE0l7SPrFot6niXsPKGWnNbPGvf02\nHHwwrLEGbLYZbL013H47jBwJyyyTEsRtvDHssgtMnVru0ZpZtVqcGZWFPg0aEeMi4vi8OxDYuhXv\nEwCSNgKwNbiPAAAgAElEQVRuBg6IiIkRMSwi/rAY9zGzRRQBe++dXk1+6aWU/O2GG+D119PbQNtv\nnxLEPfEEfPWrcPHF5R6xmVWrxV36KQULIyWdKelxSc9L2ja3D5A0LOcm+SFwQn5YdRtJfSTdImlM\n/to6n7OspOGSJkm6gnkTrzW0Puk14O9GxNh8/ucVlHO9nwtyfZ6XSrV/JHXKGWSfzfe6u3Ds67l9\nHLBP6UaSeku6XdITkkZL2jC31+UaPw/lWZ59JZ0t6UlJ/3SxQqtlDz4ISy4JRx1V37bKKnDssfMm\ng4uADz6A3vPNjZqZNU9Ln1EJoHNEbEFKdjZonoMpLf2lwLkR0S8iHgEuAM6LiM1J6eb/krsPAh6K\niA1IQcgqTdxTwO3AjyPi0QZjKVoxIrYBdgfOzG37AqtGxHqkLLJbASFpKeByYPeI6A+sWLjeYGBc\nRGwM/JqUgbZkNdKM0Z7ANcB9EbERMAv4ZhPjN6t6Tz8Nm27a9PFRo9LSz6qrpqDm8IWlSzQza8LC\n/upf4PJLdmv+Pp6m33wpzo7sDKyn+gxSPSV1B7Yjz2RExD8kvU/jAriP9Erx8CZq6gQpmCEinpW0\nQm7fFrgpt78taURuXxeYHBEv5f1rqK/3sw0pwCEiRuSZn575Hv/MBQsnAZ0i4t58zlML+FmYVYSW\npLdfdtl59489Fh5+GLp2hbPOgu22g2H5Ka8//hFOPhn+/OfFv69T8Zt1XAsLVN4DvtigbVng5cJ+\nqX5OqXbOwgjYIiI+macxBS7NTQpzLCnXySXA0U30KV6/dN1o4h4LqvezoHF9AhARn0maU2j/jCZ+\nFi5KaLVg/fVh6ND6/YsugvfeSw/VNrTHHrD//vO3m1ntafeihBExU9Kbkgbm2YTewNeA8xbhHjNI\nSdRKhgM/Ac4GkLRxRDwBPAQcDPxW0m7MHyAVfZb73itpcEQMonlBziPAoZKGAMsDA4BrgeeAvpJW\nj4iXgYMK54wCvgOcIWkAMDUiZkiLVx/WRQmtUrT0n+Kvf51S5R+d/1T48MPG+z38cEqr31r3NbPK\n1RZFCZszA3IIcLGkc/N+XURMbqJvNLI9DLhF0l6kmZCf5Os9ke//L+AY0rMg10s6CHgUeGVB94iI\n2ZL2BP4l6W3gwybuX9weCuxEyiL7Gmm56n/5WkcBd0v6iBScdC99XuBvebwfAocWrtnU/RrbN6sp\nt98OJ5yQlnb69IHu3dM21D+jEgFf+AL85S8LvpaZWVM6XK2fUl0fScsCjwNbR8Q77XRv1/oxKwPX\n+jErj9ao9dMRX6G9S9IXgK7Aae0VpJiZmdmi63CBSkQMLPcYzMzMrHlc68fMzMwqlgMVMzMzq1g1\nE6hIOiWn338ip+vfvBWvPbO1rmVWS377W9hgg1R8sF8/GDMm1f9Zd920368fHHBAuUdpZtWsJp5R\nydWZvwn0i4g5Od/Lkq14C7+qY9bA6NFw992p+GCXLjBtGsyenYoSXnfdglPsm5k1V63MqKwIvBsR\ncwAiYhrwZUlDASTtJekjSUtIWkrSS7l9jVxAcGwuLrhObl8tFyB8UtIZxRtJ+nkupviEpLrc1jcX\nNLw8z+rcm+sHmdWst96C5ZZLQQqkwoMrrZS2/Ra+mbWWmphRIWW7/T9JzwP3AzeSksZtko9vR6q/\nsznQBXgst18O/DAiXpS0BSkl/06kwokXR8Q1ko4p3UTSrsCaEbG5pE7AHZK2IyWPWxM4MCKOknQj\nsB8p661ZRWjNjLB1dbDrrnDaabDOOrDzznDggbD99ilI+c53oFu31HfXXeEPf2j9cTjDrVnHUBOB\nSk7g1p8UkAwkBSq/BF6StC7wVeBcYHugMzAqF0LcGri5kA2/a/6+NblAIqlAYenX7K7ArpIm5P3u\npADlNVJRwydz+ziaKEroWj9WK7p3h3HjUhbaESNSoHLmmV76MevI2qLWT01mppW0HynV/ePALOAb\nwLeBIaTlrpNIwcVzEfGlRs5/F1ghV0buBfw3InpKOhv4T0Rc3qB/X2BYRGyY908EekTE4Ab9nJnW\natbQoTBkCMyYAeecU1mBijPTmpVHa2SmrYlnVCStLWmtQlM/YArwMPBT4NGIeJdU+XntiHg6Ij4A\nJkvaP19DkjbK5z9CCmwgFSQsuRf4fp6NQdKXJfVpq89lVsn+8x944YX6/QkTYNVV07bjcTNrLTWx\n9AP0AP6UU+N/CrwAHEWaTVmeVJkZ4AlghcJ53wH+LOlU0rMr1wNPAscD10n6BXAH9YUQ75O0HjA6\nLxfNAL7L/AUKaWTfrKbMnAnHHQfTp8MSS8Baa8Fll8H++8/7jEqfPjB8eHnHambVqyaXfiqVl37M\nysNLP2bl4aUfMzMzq2kOVMzMzKxiOVAxMzOziuVAxczMzCpWrbz18zlJc0lv7pRcHxF/bKLvXqS8\nKM8u5r36A4dExPGLc75ZLejcGTbaqH7/oIPg5JNTccK33qp/+2etteCmm8oyRDOrYjUXqAAfRUS/\nZvbdBxgGLFagEhHjSFlozTqspZdOOVQacoZaM2sNHWbpR9KZkp7OxQTPyhWX9wDOkjRB0uqSNpH0\nWO5za87LgqSR+fzHJT0vadvcPkDSsLy9uaRHJY2X9Iiktcv3ac0qg9/GN7OWqsUZlW6FWjwAvwMe\nBPaOiHUBJPWKiA8k3UlKfX9rbn8S+HFEjJI0GBgEnEBK3tY5IraQtFtu36XBfZ8Ftstp93fO992/\nDT+ndWCVUpCvrg5mzYJ+hTnMX/8avvWt9itOuLDxmVl1q8VAZVbDpR9JnYGPJf0VuCt/fX4491kG\nWCYiRuX2IcDNhX635u/jabzg4BeAqyWtSQpsujQ2OBcltFrTrZuXfswsaYuihLUYqMwnz3JsDuxE\nmuU4Nm9D06nuG2bSm52/z6Xxn9vpwAMRsY+kVYGRjV20zn/iWSuohX9GtfAZzGxeDf8AHzx4cNOd\nm6lDBCq5iGD3iPinpEeBl/KhGUAvgIj4n6T3JW0bEQ8D36OJYKMJvYA38vbhrTNys+rmZ1TMrKVq\nMVBp+IzKP4ELgTskLUWaKTkhH7sBuELSccC3gEOBSyUtTQpmmgo4opHtPwJDcoHDu3FRQusgGj6j\nsttu8LvfpW0XJzSzlnJRwnbkooRm5eGihGbl4aKEZmZmVtMcqJiZmVnFcqBiZmZmFcuBipmZmVWs\nmglUJH0m6ezC/kmSBpVzTGYdRadOcNJJ9ftnnw3F9AmXXw7rrZe+ttgCHnmk/cdoZtWpZgIV4BNg\nH0nL5v1Fer0mZ681s8XQtSvcdhu8917aV+EZ/7vuSoHKI4/As8/CpZfCwQfD22+XZ6xmVl1qKVCZ\nA1xOfY6Uz0nqK+nBXGzwfkkr5/arJF0q6THgj5KelNRLyXuSvpf7XS1pZ0mrSnpI0rj8tVU+PkTS\nXoX7XStpz3b51GYVoEsXOOooOO+8+Y/94Q9phqV377Tfrx8ceihcfHH7jtHMqlOtJXy7BHhS0h8b\ntP8JuDIi/i7pcFICuH3ysS8BW0VESPozsC3wKinh27bA34EtgR/m/rtExGxJawHXAV8F/koKkO7I\nNYO2ImW2NatYrZ3C/phjYKON4OST035pVuWZZ6B//3n7brYZDBnSNuNoyKn6zapbTQUqETFD0tXA\nT4BZhUNbAnvn7WtIWWQhLQ/dXMjCNgrYHngF+DNwlKQvAe9HxKwchFwkaWNSzZ+1830fknSJpOVI\ntYRuiYjPGhujixJarerZEw45BC68MGWjXVBuQ+c9NKtNbVGUsGYy00qaERE9JX2RVOH4StLnGyxp\nKrBSRHwqqQvwRkT0kXQlcFdEDM3X+H/ATcAU4BTgAuB+YOWI+LmkOmDpiDi5VJE5Irrkc08mLT8d\nCBwWEc81MkZnprWa1LMnzJgB77+fqiUffngKRgYNgu22g9NOg4ED6/v/3/+lGZdWqFfWLM5Ma1Ye\nzkzbiIh4nxRsHEH9A7WPAt/O298BHmri3NeB5YA1I2Iy8DBwUqF/L+CtvH0IUHwA9yrgp+ky8wcp\nZh3BF78IBxwAf/1r/dLPySfDL34B06al/YkT07LPMceUb5xmVj1qaemnOFVxDnBsYf844EpJPwfe\nYd5igw2nOB6jPoB7GPhd/g7pGZihkg4B7gFmfn6RiHckPQPc1sLPYVZ1im/5nHgiXHRR/f4ee8B/\n/wtbb5369eoF114LK6zQ/uM0s+pTM0s/5ZYrLj8J9IuIGU308dKPWRl46cesPLz0UyEk7Qw8A1zY\nVJBiZmZmi66Wln7KJiLuB/qWexxmZma1xjMqZmZmVrEcqJiZmVnFqtlARdLMhfeap39fSU+10r0H\nSBrWGtcyq3Y9eqTvU6akRHD9+tV/XXNNWYdmZlWglp9Rme/1GklLRMSn5RiMWUdVfHV5zTVhwoTy\njcXMqk/NzqiU5NmNUZLuACZJ6iTpLEljcpHCoxo5p28TxQcHSBop6WZJz0q6pnDO13PbOOrrCJmZ\nmVkL1PKMSlE/YP2IeCUHJtMjYnNJSwIPSxreoP/bNF58EGAT4CvAm8AjkrYmpey/HBgYES9JupFG\nZnTMKkW5CgG+9FJa8im56CLYZpvmndsSTqFiVr06SqAyJiJeydu7AhtK2j/v9wLWBF4s9O/KvMUH\n12pwrTcAJE0EVgM+AiZHxEu5zzXAfDM14KKE1rGtsYaXfsxqWVsUJewogcqHDfaPjYj7ig2S+hZ2\nTwDejIjvlYoPFo7NLmzPJf0MG86eNJmFr841560CVPI/w7YYWyv/3jSzJjT8A3xwK1QerflnVBpx\nL3CMpCUAJK2d098XLaj4YEMBPAf0lbR6bjuoFcdrZmbWYdVyoBJNbP+FlO5+fH4d+c/UByKlfpcA\nh+alnXUoFB+kkWdPImI2aann7vww7duN9TPriIpv/ZSeUSl9FYsXmpk1xkUJ25GLEpqVh4sSmpWH\nixKamZlZTXOgYmZmZhXLgYqZmZlVrJoOVCTNlTRB0lOSbpLUbQF9D5P0p1a6b52kE1vjWma1rHPn\n9FDthhvCAQfArFmpvVQfyMyspgMV4KOI6BcRGwKfAEcvoG9rPuXqJ2bNmmHppVMCuKeegq5d4dJL\nU7ta9OidmdWSWg9Uih4G1pT0RUm35zo/oyVt2LCjpD0kPSZpvKT7JC2f2+sk/U3SCEkvSTqucM4p\nkp6XNIr0SrOZLYJtt02vL5uZFXWIzLQ5udvXgX8CpwHjImJvSQOBq0m1gIp/w42KiC3zuT8ATgZO\nysfWBgaSksI9L+kSUv2fA4GNgS6k2j9j2/pzmUFlZ5ltSsMxf/op/POf8I1vLPq5zVVp2Wmr8b+b\nWTnUeqDSTVKpsshDwN+Ax4F9ASJihKRlJfVscN7Kkm4CViTV/Xk5twdwd0TMAd6T9E7usx1wa0R8\nDHws6U6aSKPvWj9m9WbNqi9SuP32cMQR5R2PmbVMW9T6qemEb5JmRETPBm3jgf0iYnLef5VUDXl/\noH9EHCdpJHB2RNwlaQegLiIGShoEzIyIc/K5TwG7A3sDvSNiUG4/F/hvqV/h3k74ZlbQsyfMmNH8\n9sXlhG9m5eGEb4tnFPAdAEkDgKkRMbNBn17AG3n7sEJ7Yz/sIM3W7C1pqTw7szt+oNbMzKzFaj1Q\naSxYqAP6S3oC+B1waKFvFPrcLGksMLXQXuxTf5OICcCNwBPAP4AxrTN8s9rW1Ns9H30EK69c/3X+\n+e07LjOrHDW99FNpvPRjVh5e+jErDy/9mJmZWU1zoGJmZmYVy4GKmZmZVSwHKmZmZlaxqjpQKRQd\nnChpnKStmnFOw1eRG+tzhaT1WmeUZtaUUlHCTTaB/v1h9OjUPmUKdOuWjpW+rrmmrEM1szKp9sy0\nH0VEPwBJuwK/BwYs5JyFvnYTEUe2fGhmtjClooQAw4fDr35Vn+p+zTXrj5lZx1XVMyoNLANMK+1I\n+rmkMbn4YF3DzpI6SbpE0rOShku6W9J++dhISZvm7ZmFc/aXdGXeviqfPzoXKBwgaYikZ0p9zKz5\n/vc/6N273KMws0pT7TMqpVo+SwErkYoFlmZX1oyIzSV1Au6UtF1EjCqcuy+wakSsJ2kF4Fngr/lY\ncdalqW2AL0TEVpL2BO4EtgKeAf4taeOIeKKVPqdZWbVFAb26uvpaPx9/DG++CQ8+WH/8pZfq6wAB\nXHQRbLPN4o+nYfkRFwU0qw7VHqjMKiz9bAn8HdgA2BXYtVCQsDuwJil9fsm2wE0AEfG2pBGLeO8A\nhuXtScBbEfF0HsvTQF9Sptp5uCihWb1u3eqXdx57DA45BCZNSvtrrOGlH7Nq0xZFCas9UPlcRDwm\naTlJfXLT7yPi8gWdQhMVjhvpV9KtwbFP8vfPgNmF9s9o4mdb5z/jrAq1xz/bLbeEd99NXwuzqOMZ\nORL8N4FZ22v4B/jgwYNbfM2aeUZF0rqkz/MucC/wfUnd87EvFwKYkkeA/ZSsQNMP4b4tad28hLQP\nLjZo1iaeew7mzoVlly33SMysklT7jEq3wvKOgENzMZ378uvFo5Wqns0kVUwuFhgcCuxEeqbkNWA8\n8L9G7vFL4K587ljSMlLJgp5fcUBjthClZ1QAIuDqq+sLFTZ8RuWII+DYY9t/jGZWXh26KKGk7hHx\noaRlgceBrSPinTa8n4sSmpWBixKalUdrFCWs9hmVlrpL0heArsBpbRmkmJmZ2aLr0IFKRAws9xjM\nzMysaTXzMK2ZmZnVHgcqZmZmVrEWa+lH0orA+cBmwHTgbeCnEfFCSweU093PiIhzFtJvCvABKWfJ\nu8AhEfFGS+/fyD02jYhpDdo/H6OkwcBDEfFAa97brKN46y346U9h7Fj4whdghRXga1+DKwuFKD79\nFJ5+Gp59FtZZp3xjNbP2t8iBitL7vrcBV0bEt3PbRsAKQIsDFZr/Wm8AAyJiWg4cfgUc1wr3b3iP\nxp5W/nyMETGole9p1mFEwD77wOGHww03pLYnn4QPPoCf/KS+369/nV5VdpBi1vEsztLPQOCTYtbX\niHgyIh6WNFjShPz1X0l/A5D0XUmP5/ZLc/I0JH1d0jhJEyXdV7jHVySNyMX+mhN8PAaska/ZR9It\nuSDhGElb5/Y6SX+X9Kik/0j6QW4fIKmUCh9JF0k6tHDtkyU9mce/RsMb5+KEpWKGX5X0SP48j0vq\n0cyfqVmHNGIEdO0KRx1V37bRRrDttvX7Dz0EN98Ml1zS/uMzs/JbnKWfDYBxjR3IswuDJC1Dqqvz\np5x47QBSjpK5ki4BviPpHuByYLuIeCW/JgxpBmNdUqbYXsDzki6JiLmN3LI02/F1Ur0dgAuA8yLi\nEUmrAPcAXymMfUugBzBB0t2NfQzmndWZHhEbSfoeablrj8b6S+oK3AAcEBHjcpAyq7Gfk1mla4+U\n+XV1qa5P//5N95k+Pc22XHMN9CiE/a1RlLAlXAnDrP0sTqCywKWZvDR0LXBOREyQdCzQHxibs8Qu\nBbwFbEF6tuMVgIiYXrj+XRExB3hP0jukZaXGnj8ZIak38CkpCAHYGVhP+nzFpmdOpR/AHRExG5id\nixBuTnrGZkGuz99vAM5r6mMD6wBvRsS4/HlmNtbRRQnN6mkhaaCOPjoVKtxqq/YZj5m1TKUUJXwa\n2H8Bx+uAVyNiSKFtSET8uthJ0u4LuMYnhe25ND3OAaS099cCR5ICCQFbRETxGqjx34ifkYKc4hJY\nw8KDRS1Ome+ihFYN2uuf6frrwy23NH5syBB47TW47rr5j7kooVllqoiihBHxILCkpCNLbZI2krSt\npD1I9XOOL5zyALB/qSigpN55SeYxYHtJfUvti/MB8pLQT4ET83LLcODzx/AkbVLaBPaStGROmT8A\n+DfwKumZmK55+WnHwuUFHJi3DwQeLbQXI58AngdWkrRZvm9PSZ0X5zOZdRQ77gizZ8MVV9S3Pfkk\n/OtfcMopacmnk5MomHVoi5uZdh/gfEm/AD4GJgMnAKcBXwLG5BmMOyKiTtKpwPD8EO0c4JiIGCPp\nKODW3P428LV8/ebMThTfvHlL0q3Aj0lBysWSnsif71/AMbn/k8AIYDlSyvy3ACTdRHrGZTKpOGHx\nHl/M1/oYOKjQPs8YI2KOpANJz+V0Az4CdgE+bMZnMeuwbrstvZ78hz/AUktB377w8cepYOG++87b\n96KLYJttyjJMMyuTDlOUUNIgYObC8rO08RhclNCsDFyU0Kw8WqMoYUebVHWUYGZmVkU6TFHCiGj5\nEz1mZmbWrjrajIqZmZlVEQcqZmZmVrFqeulH0lzSmz4le0XEq+Uaj5k1rnPnlDq/5PbbYfJk2Gsv\nWH319ArzvvvCGWeUb4xmVh41HagAH0VEv8YO5Ay6+DUcs/JbemmYMGHetsmTYfvtYdiw9Lpyv36p\ngOGCUu6bWe3pUEs/kvpKel7SEOApYGVJl0j6t6RJuQpzqe+UXMhwXC5KuE5u7yHpytz2hKR9c/uu\nueDhOEk35bT9ZtYKlloKNtkEXn653CMxs/ZW6zMq3SSV/k57GfgZsCbwvYgYAyDplIh4P2eRvV/S\nBhExifQq89SI6C/pR8BJpDT9vwHej4iN8vlfkLQccAqwU0TMyonwfgac3o6f1azNtGVK/bq6lNyt\nX577XH11GDp03j7TpsGYMXDqqYs/ruaUH3GFC7PKU+uByqzi0k9O1/9KKUjJDszlAJYAViJVWi5V\nYr41fx8PlHJk7kR9Wn0iYnquW/QV4NG8otSV+nT783BRQrP5des2/9IPwKhRaSblhRdSgcL112//\nsZlZ87VFUcKazkwraUZE9Czs9wWGRcSGeX81Um2gzSLif5KuBEZExNWSJgP9I2Jart9zVkQMlDQW\n+HZEvFi47u7AwRFx8ELG40dizBrRsyfMmDFv28iRcM456RmVKVNg4EB46CFYeeVFv74z05qVhzPT\ntlwvUi2eDyStAOzWjHPuI9UUAtLSD6nA4jaS1sht3SWt1QbjNeuQ+vaF44+H072Yatbh1Hqg0tj0\nRbGY4RPABOA54Frg4QVcp3TeGaRChU9JmggMiIh3gcOA63MBw0eBdVrlE5h1AGrk7y1p3vajj4Z7\n7oHXX2+/cZlZ+dX00k+l8dKPWXl46cesPLz0Y2ZmZjXNgYqZmZlVLAcqZmZmVrGqJlCRNFfShJxB\ndqKkn5XS4FcCSTPLPQazatS5c0r2tsEGKWfKuedC6VGukSNhjz3q+556Kuy2G3zySVmGamZlUE0J\n3z6v2yOpD3Ad6fXiunIOCkBSJxp/w8jMFqJY52fqVDj4YPjgg/mzxJ5xBoweDf/4B3Tt2u7DNLMy\nqZoZlaKImAocBRwLIKmzpLMkjcn1d47K7QMkjZR0s6RnJV1Tukau5fO7PEszVtKmkoZLelHSD3Of\nHpLuL9T72TO3f14zSNJTwP8rXHe5XPOnOTlZzKygTx+4/HK46KJ52885B+69NyV/W3LJ8ozNzMqj\nmmZU5hERk3OAsjywNzA9IjaXtCTwsKThuesmpPT2bwKPSNo6Ih4lzYC8EhH9JJ0LXAVsBXQjpdC/\nDJgF7BMRM3I9n9HAnfm6DWsGkcdyJ3BKRDzQ5j8Es3bWHrVwVlsN5s5NsysADz8Mzz8P48en2ZfF\nHc/iZPV27R+z8qvaQKWBXYENJe2f93uRAok5wJiIeAMgJ2jrS30dnlLQ8RTQPSI+BD6UNFtSL1Kg\n8ntJ2wGfAV/KwQjMXzOoK/AAcExEjGpqoK71Y7Zo1loLpk+H4cNh330X3t/Myqctav1UbaAiaXVg\nbkS8k5+pPTYi7mvQZwAwu9A0l3k/c+nYZ0Dx8bzPgC6kQoTLAZtGxNxc/2ep3OfDBkOaA4wFvg40\nK1AxqzZt8c/3nHPm3X/55fSAbZ8+aX+FFeDaa2GnnaB3byjG9s0dz8iR855nZm2j4R/ggwcP/v/t\n3Xm8VVX9//HXW0SFcMh5SMUxJxDEFFML02wSFa2sTMH8OnxzHspfWYlpkw2amjlUgpY5gfM3cwIV\nBwiZRS1RzJwyRQPFCT+/P9Y63n0P517ufM499/18PM7j7L32WnuvfQ6X+7lr770+7d5nt7xHJd9M\nezFwQS76K/BNScvn7VtK6ttU+0q7bKJ8FeDfOUjZA9i4mX0E8A1gK0nfbsWxzSx7+eU0Vf5xxzUu\n32ILGD8evv51mDmzOn0zs+roTiMqfSRNJ410vAdcAZybt/2OdElnWn5k+d/ACBrn6GlOeb3S+p+A\nWyTNIo2WPFZWp9E+IiIkfRW4WdJ/I+LiVpyfWY+0eHF6PPndd2H55eHQQ+Hkk9O2Yr6fHXeEyy+H\nffdNIySbbFK1LptZF3Kuny7kXD9m1eFcP2bV4Vw/ZmZmVtccqJiZmVnNcqBiZmZmNcuBipmZmdWs\nqgYqkk7PSQZn5qnsd2pBmzMlfSovnyipTwf1ZbSkUzpoX2MkHdgR+zLrKV58Eb7yFdh88/SEzxe+\nAP/4BwwY0Lje6NFLz71iZvWrao8nS9oF+AIwOCLelbQ6sMwsHhFxRmH1BOBK0gyy7enL8nRsUsGW\nPhZtZqRsySNGwGGHwdVXp7LZs+Gll5auWzs5082sK1RzRGVd4D8R8S5ARLwKbCBpHICk/SS9KWl5\nSStJmpfLx0g6UNJxwPrABEn3SBqeR2Wm54SBT+X6Q3JiwqmSbpe0bi6fKOlcSX8Dji92TNIROcHh\nDEnXl0Zt8rF/LekBSfNKoyZKLpT0uKQ7gbVpehI5MyszYULKiHzkkQ1lAwbARz6ydF0/4W/Ws1Rz\nwrc7gB9IegK4C7iGlINnUN6+OykHz06kSd4ezuVBmlztAkknA8NykANwC4Cka4CJeaTkAmB4RLwi\n6SDgR8DheT+9I+JjuU1xpGZcRFyWy8/K9Uv5XNeNiF0lbU3KFTSONLnclsDWpABsLvD7DviMzGpW\nR02nP3o0zJkDQ4ZU3j5vXpoQruTFF+Fb32p9H5aVfsTZLcxqU9UClYh4Q9IQUkCyBylQ+X/APElb\nAb+9QvEAACAASURBVB8DfgV8AuhFM/lzivL09W9GxG8lbQdsC9yV8wH1Ap4vVL+mid0MkHQ2sCrQ\nD7i91G3gxtz/xyStk8s/AVyVZ3N7QdI9TfXPSQnNltbc5ZzNNoPp0xvWzzzToypmtarukhJGxPvA\nvcC9kmYDI/P650lJ/u4GxpIuUZ26rP1J2gs4kBQ4QLr88mhEfLyJJuWJBUv//Y0B9o2I2ZJGAsMK\ndYrJC1Vo16JLPU5KaPWiI/8pb7stXH995/XBSQnNukZdJSXMiQO3KBQNBuYDk4ATgQcj4j/AGsCW\nEfFohd0sJCUORNLGwG+AL0dEKSvyE8BakobmOr0lbdNct/J7P+BFSb2Br7PsG2PvAw6StJyk9Ugj\nRGbWQp/6FLz9Nlx2WUPZrFnw7LPV65OZ1YZqjqj0Ay6QtBopyeA/gCNJT/CsTfrlDzATWKfiHuBS\n4HZJzwMTgdWBG/NlnuciYh9JXwTOl7Qq6XzPJd1DUkkpIPk+MBl4Ob/3q1Dng+WIuCE/Mj0X+Cfp\nXhsza4UbboATT4Sf/QxWWiklHTz33MqXhfzkj1nP4aSEXchJCc2qw0kJzarDSQnNzMysrjlQMTMz\ns5rlQMXMzMxqlgMVMzMzq1l1G6hIWlfS1ZKezNPn31b2OLSZdSOVkhZusEHjfEDHHAM//Wn1+mhm\nHa+qE751FqXnk28ALo+Ir+SygaTHnP/Rjn3ix3bMul6lpIWzZsHNN8Opp8KVV8K0aTBpUno3s/pR\nryMqewDvRMSlpYKImAUcIWm/UpmkP0naV9IoSTdJmiDp75J+kLf3zwkOxwKzgA0lLSq0/6Kky/Py\nlyTNzokM7+2qEzXrCSolLRw4EE4/PeUCmjABjj0WfvMb6NWrev00s45XlyMqwHbAIxXKfw+cBNyU\nJ4DbBTgEOJSUW2hb0oRzf5N0G/AKsDlwSERMgTQXSmF/QeNJ4vaOiBckrdLxp9R2nrXfurvVV6+c\ntFCC3/4W9tgD9t8fdttt6Tqlf/8dnH7EbCn+v7Zz1GugUvHyTETcJ+kiSWsCXwSuj4j381WdOyJi\nAYCk8cBupASEz5SClCaUJrJ5ABgr6VpgfFOVnZTQrPWam4l2++1hwAD45je7rj9mVlndJSXsRI+S\nApFKriCNohwEjGqijoD383JTiQsB+nxQGPG/knYCvgA8ImlIRLxavuNqJCV0lG/d3T33NJ+0cLnl\n0quS0aOdlNCsq9RVUsLOFBH3ACtKOqJUJmmgpN1ImZFPTNXi8UKzT0v6sKQ+wH6kEZJKf8e9JGkr\nScsBIwr73ywipkTEGaQcQR/p8BMz66GaSlo4aVL1+mRmXaMuA5VsBLBXfjx5DvAj4IWI+DcpeeDl\nhboBTAHGkZIgXh8R0wrbiv4fcCspkHm+sP0cSbMkzQYeyDfvmlkHueEGuOuu9HjydtulG2nXW6/a\nvTKzztbjkhJK6kt6gmdwRCzMZaOAIRFxXCcf2083m1WBkxKaVYeTEraSpL1Ioynnl4KUrPj0jpmZ\nmdWIer2ZtqKIuAvoX6F8LDC2yztkZmZmzepRIypmZmbWvThQMTMzs5rVrS/9SFpCujF2eeAxYGRE\nLG5h2+2B9SPiL53Qr9HAwoj4ZUfv26wn69UrTZ3/3nuw9dZw3nkpOSGkpIW9esFaa6UJ4iZPht69\nq9tfM2u/7j6i8mZEDI6IAcA7wNEtaSRpeWAw8PlO6pdvzDXrBH37wvTpMHt2yv1zzTVpffp0OPpo\nOPnktDxtmoMUs3rRrUdUykwCBkj6MGmOlE2AN4EjI2J2HuXYLJf/E9gV6JMngfsJsA2FUZA898rn\nI+Kfkr4PHEyayO1Z4JGI+GWeUO4IYAXgSVJOoBaN6JhZ++y2WwpYivz0v1n9qYtAJY+QfBb4C/BD\nUiCxv6Q9SFPmD85VtwJ2i4i3JY0kzZ1yfN7HGWW7jVz+MeAAYCApIJkGTM11xkXEZbneWcDhwIWd\nc5Zmtasr0jQUj/Hee/CXv8DnWzgmOnFi5ycldKoKs87R3QOVPpKm5+X7gD8Ak0mBBRExQdIaklYm\nBR43R8Tbub6oPEV+kUgjLzdGxDvAO5JuKbQbIOlsYFWgH3D7sjrspIRmbbd4MQzOf3Z84hNw+OHV\n7Y+ZNeakhEtbHBGDiwU5E3JTAcibheXyQeL3aHzPzkqFesX9qdB2DLBvvrQ0Ehi2rA5XIymhWWfr\nqn/Wffqke1Baa9gwJyU06wpOStgy95PuJ0HSMODlPAttefCyEFi5sD4f2CG324F0L0uQcvoMl7Si\npH6k7Mgl/YAXJfUGvk5DANOu6YLNzMws6e6BSqVb50YDQyTNBH4MjCzULdafAGwjabqkL5ESEq6e\nb6I9BngCICKmAjeTHoP+P2A28Hrex/dJl5omkR6PLvbLt/WZdTAt40+AZW03s+6nxyUlbAtJH4qI\nN3JCw3uBIyJiRhv246SEZlXgpIRm1dERSQm7+z0qXeVSSduQ7lsZ05YgxczMzFrPgUoLRMTB1e6D\nmZlZT9Td71ExMzOzOtZlgYqkRV11rFrug5m1T79+jdfnz4cBAxqXjR4Nv3SmLbO60JUjKrVwF2mH\n9yHPimtmXaQlT/b46R+z+lHVSz+SJkoakpfXlPR0Xj5J0u/z8gBJsyWtJGkzSX+RNFXSfZI+muuM\nkXSRpIckzZM0TNJYSXMlXV52zF9JmiPpLklr5rJBkh6WNFPSeEmrLaN/oyTdLOlu4E5JfSRdK+nR\n3P7hUjszMzNru2rfo9LUfCPnAZtLGkGaFv/IiHgLuBQ4LiJ2BL4FXFRos1pE7AKcRJr35BxgW9I0\n9wNznQ8Bf4uI7UiPGZfy+1wBfCsitifNk1Iqb24+lMHAgRGxB2nelVciYlvS3CpDmmlnZmZmLVST\nly0iIiSNIgUNv42Ih/KssLsA16lhXHeFUhPglrw8B3gxIh4FkPQo0J80Ydv7wDW53h+B8ZJWAVaN\niPtz+VjguhZ0886IeC0v70oKroiIRyXNat0Zm1VHd8ro0FRfm7rMUyzviqSE7dGdvgezrlbtQKWY\nX2elsm1bkqa53yCvLwe8Vp7bp+Cd/P4+8Hah/H0qn2cxZ095eUv690Yz7ZrkpIRmHWuNNWDBgsZl\nr7wCm25anf6Y9WT1mJRwPrAjMBX4YqlQ0qrAr4Hdgd9IOjAixkl6WtIXI+J6pWGVARHRmtGL5YAv\nkUZVvgbcHxH/lbRA0m4RMQk4BJjYXP8qeAD4MjAxTww3oKmKTkpotaQe/jn26wfrrQcTJsAee8Cr\nr8Jf/wonndRQx0kJzbpGZyQl7MpApa+kZwvrvwR+AVwr6UjgNhpGOH4FXBgRT0o6HJgg6V5SssHf\nSvoe0Bv4M+mSDjQeHWnq/pA3gJ1y+5eAg3L5SODiPEX+POCwXN5U/8rvXbkIGJsvMz0OPEpDPiAz\n60BvvgkbbtiwfsopcMUVcMwxcPLJqWz0aNhkk6p0z8w6mHP9dABJywG9I+JtSZsBdwJbRsR7ZfWc\n68esCpzrx6w6nOundnwIuEdSb9K9Kv9bHqSYmZlZ63lEpQt5RMXMzHqSjhhRqfY8KmZmZmZNcqBi\nZmZmNavuAxVJSyRNlzQrT2/fb9mtWrzvyyRt3VH7M7OO06sXDB4MAwfCAQfAopySdOJEGD68cd1R\no2DcuK7uoZm1RN0HKsCbETE4IgYC/wWO6qgdR8QREfFYR+3PzDpO374wfTrMmgWrrAKXXNJ0XcmJ\nDM1qVU8IVIoeBjaDZhMObitpch6FmZkTIX5I0m2SZuQEiV8q7GOHvHyRpL/lhIejq3N6ZlbJLrvA\nvHnN1/F97ma1qcc8niypF/Bp4O5c1FTCwaOBX0fEVZKWJ31GXwCei4gv5H2tUthHyekRsSAf5y5J\nAyJidmeci1k96MxZcYv7XrIE7rgD9tyz9W074vhm1j49IVDpI2k6KWfQfODiZdR/EDhd0keA8Xl2\n3FnALyT9FLg1T7Vf7iBJR5A+0/WAbUhJFRtxrh+zrrF4cbpH5bnnoH9/OProVN6SJIZm1jadkeun\n7udRkbQwIlaW1Af4K3BuRNwg6U7gOxExNQcl90fEJrnNJsA+wHHAURExQdJqpJGVI4C7I+IsSROA\nU4AFwB3AjhHxuqTLgYkRMbasL55HxayLrLwyLFyYApbPfCbl/hkxAubMSUHLpMKfG/vtB6eeCrvv\nXr3+mtUjz6PSChGxGDge+FFOaDiflHAQGidE3DQino6IC4CbgIGS1gPeiog/kfL/lGdwXoWUR+i/\nktYBPkfT+YbMrAv16QPnnw+nn57uQ9liC3j+eXj88bT9mWdg5kwYNKi6/TSzynrCpZ8PAoaImCHp\nSVKm46YSDn5Z0teBd4EXgB8BOwE/l/R+Lj+60QEiZubLS48DzwKVLg2ZWRcqXsoZNAg23xyuvRYO\nOgj++Ec47DB46y3o3Rt+//s0AmNmtafuL/3UEl/6MTOznsSXfszMzKyuOVAxMzOzmuVAxczMzGqW\nAxUzq3sdPa+DmXWdugxUJK0r6WpJT0qamqe/36Kd+9xY0lcL60Mk/br9vTWzrtKvLCXpmDFw3HFp\nefRo+MhH0iRxAwbA+PFd3Tszq6TuApU8R8oNwD0RsXlE7Ah8B1inUKctj2VvAnyttBIRj0TECe3t\nr5l1nfLZZ4vrEpx8ckpkeMMNcOSRXds3M6us7gIVYA/gnYi4tFQQEbOAXpLul3QTMEfSipIulzRL\n0jRJwwAk9Zd0n6RH8muXvJufArvnZIUnShom6ZbcZidJD+b9PCBpy649ZTNri/LZAkrrm2+e5ld5\n+eWu75OZNVaPE75tBzxSoVykGWW3jYhnJJ0CLImIgZI+CtyRA4yXgE9HxNv5ctFVwMeA04BTI2I4\nQCmwyR4Ddo+IJZL2An5MYbZbs+6inpPpDRvWkP+n5NVX0/T55R55BHr1gjXXTOvd4XPpDn00a4t6\nDFSam1FtSkQ8k5d3Bc4HiIgnJD0DbEGaWfZCSdsDS3IZpECnKasBV0jaPB+/d1MVnZTQrHr69EmX\ndkrGjoWpU9NyBJx7Llx+eZpef/x4Jyo0a63OSEpYj4HKozQ9mvFG2Xr5f0MCTgJeiIhDJPUC3mrB\nMc8iJSocIWljYGJTFUf7zx6rYfX6z7Op/zeLl35K96icfDLccguccQYMH57K6/VzMeto5X+An3nm\nme3eZ93doxIR9wArSjqiVCZpIFCeF/V+4OC8fUtgI+AJUoLBF3OdQ4FeeXkh0FQ2kFWA5/PyYe08\nBTOrgoiGwGX4cNhoI/jzn6vbJzOrw0AlGwHslR9PnkNKLPgCjS8LXQQsJ2kWcDUwMiLeyeUjJc0A\nPgosyvVnAkskzZB0Yt5XaX/nAD+RNI0U2Dihj1kNqvTUT6msuAzwgx/Aj37UdX0zs8qclLALOSmh\nWXVMnDjR94OZVYGTEpqZmVldc6BiZmZmNcuBipmZmdUsBypmZmZWs7p1oCJpSZ7SfkbZdPfNtZko\naUgHHd+JCc1sKb16pRlwBw2CIUPgoYcatk2ZkmbJ3XLLtG2ffWDOnKp11azmdfcJ396MiMEAkvYG\nfgIMW0ab4mPFbSZp+Yh4hMrT9ZtZD9a3b8MMuHfcAd/5Tpp07qWX4KCD0vwsQ4em7Q88APPmwXbb\nVa27ZjWtW4+olFkVeBVSHp5SwsC8fqGkkeUNJB0u6QlJkyVdJumCXD5c0sM5yeCdktbO5aMlXSlp\nEmnK/E86MaGZNef112H11dPyhRfCqFENQQrArrtWzjdkZkl3H1HpI2k6sBKwHilzciVLjaJIWh/4\nHilR4SLgHmBG3nx/RAzN9f4H+DZwat62FbBbTlo4rLBLJyY0qwFNTXffwelHmj1+KfnhW2/BCy/A\nhAlp29y5KVBprm1Xc3oAq3XdPVBZXLj0MxS4kpQ9eVkE7ATcGxGv5fbXAaVRkA0lXQusC6wAPJXL\nA7g5It6usM8WJSZ0UkKz+ldMfvjww3DIIQ33oRTnfNx5Z1i4EPbeG847r+v7adbRnJSwGRHxsKQ1\nJa0JvEfjy1p9KjUpWy/OnHcB8IuIuFXSJ4HRhW1vNtGFFiUmdFJCs85V6Uds4sR0A2s1DB0K//kP\nvPwybLstTJsG++6btk2eDOPGwa23pnX/92DdnZMSNkPSVqQ8O68AzwDbSFpB0mrAp8qqB/A34JOS\nVpO0PHAgDcFLMcngqOJhmumCExOa2VIefxyWLIE114RjjoExYxo/BfTGG0vnIDKzBt19RKV0jwqk\nIOLQnEzn2XzpZg7wNDCtvGFEPC/px8AU0k24jwOv582jgeskLSDdu7JxqRmNR2LKExOOlfQ94Dac\nmNCsxyrdowLpUs8VV6RgZJ114Jpr4LTT4LnnYO21Ya21UgJEM6usRycllPShiHgjj6iMB34fETd1\n4vGclNCsCpyU0Kw6nJSw/UbnEZnZwFOdGaSYmZlZ63X3Sz/tEhHfqnYfzMzMrGk9fUTFzMzMaljd\nBSqSFrWx3WhJp3RQH8ZIOrAj9mVmPUu/fun9/ffh+ONhwAAYOBB22gnmz69q18yqoh4v/bT1btWO\nvMu1Q/IJmVnPU3pU+Zpr0qy2s2en9eefTzmEzHqauhtRKZJ0mqRZObvyT3LZZpL+ImmqpPskfbRC\nuyMkTcntrpfUJ5ePkfTrnMtnXmnURMmFkh6XdCewNs3PuWJm1qwXX4T11mtYX399WG216vXHrFrq\nNlCR9DlgX2CniBgE/CxvuhQ4LiJ2BL4FXFSh+biIKLV7DDi8sG3diNgV2Af4aS4bQZp+f2vgUODj\neETFzNrhy1+GW25J87GceirMmLHsNmb1qB4v/ZTsBfwhIt4CiIjXJPUDdiFN5laqt0KFtgMknU3K\nyNwPuD2XB3Bj3t9jktbJ5Z8ArsqTpLwg6Z7OOCGzzlbPU7h3VVLCtqj0uW+wATzxBNxzT3rtuSdc\ndx186lPLbmtdz99D56nnQCVY+vLLcsBrpUSGTbQBGAPsGxGzJY0EhhXqvFNYVqFdiy71OCmhmbXU\nCivAZz+bXuusAzfeuHSgYlZLOiMpYd3NTCtpYUSsLOkzwA+AvSJisaQPR8QCSQ8A50bE9UrDKgMi\nYpakM4BFEfFLSS8D2wCvAf8HPBsR35B0OXBrRIwrO9YI4Cjg88A6wKPA/0TE+LK+eWZasyroTjPT\nrrxyyqg8fXoKTtZfPz0BNGoUDBoEJ59c7R6atZxnpq0sACLir8DNwNQ8+2zp0eODgcMlzSDlAtq3\nvC3wfWAyMIl0j8pS+y871g3AP4C5wFjgwY46GTPrWUpXpf/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H/LVSx52U0Mys/RYvTveo\nPPcc9O8PRx/dsM3zalZPZyQl7K6ByuKIGJxHPv4K7EfDqEpJ+Ux4b+f39wvLpfXlczLCPYGhEfGW\npAnASrnOu+X1C+ulH4kxwL4RMVvSSGBYpY6PruWw1cy6jP8raJ9f/jLdo7J4MXzmM3DTTTBiBGyz\nDdx3X+O6Tz2VRlL65ccu/Nl3nvI/wM8888x277Nb36MSEYuB40mXYRYCCyTtljcfAkxs4a5ESj64\nIAcpWwFDW9iuFBD1A16U1Bv4eguPa2Zm7dCnD5x/Ppx+ehpJ+drXYNIkuDv/6bp4MRx/PJx2WnX7\naW3XXQOVYjLAGcCTwJeBkcDPJc0EBgI/bKJt+cBgALeTRlbmAj8h3aS71PHK2heXvw9MBiYBj1U4\nhpmZdZBicsJBg2DzzeHaa1PgctNN6ZHkrbZKjy/vvDMcc0z1+mrt46SEXchJCc2qw0kJzarDSQnN\nzMysrjlQMTMzs5rlQMXMzMxqlgMVMzMzq1kOVKxDdPQEP7XG59e9zZgxo9pd6FT1/P3V87lB/Z9f\nR3CgYh2i3n/YfH7dmwOV7quezw3q//w6ggMVMzMzq1kOVMzMzKxmecK3LiTJH7aZmfUo7Z3wzYGK\nmZmZ1Sxf+jEzM7Oa5UDFzMzMapYDFTMzM6tZDlQ6kKTVJd0p6e+S7pC0WoU6G0qaIOlRSXMkHd+a\n9tXU0v5J+oOklyTNLisfLelfkqbn12e7puct0wHnVy/f32clPS7pH5JOK5TX3PfXVF/L6pyft8+U\nNLg1bautnec3X9Ks/F1N6bpet9yyzk/SVpIekvSWpFNa07YWtPP86uH7Ozj/u5wl6QFJA1vatpGI\n8KuDXsA5wLfz8mnATyvUWRcYlJf7AU8AW7W0fa2fX962OzAYmF1WfgZwcrXPoxPPr9t/f0Av4Emg\nP9AbmAFsXYvfX3N9LdT5PPB/eXln4OGWtq32qz3nl9efBlav9nm08/zWAnYEzgZOaU3bar/ac351\n9P3tAqyalz/b1p8/j6h0rH2BsXl5LLB/eYWIeDEiZuTlRcBjwAYtbV9lLepfRNwPLGhiH+16TK2T\ntff86uH72wl4MiLmR8S7wNXAfoXttfT9LauvUDjniJgMrCZp3Ra2rba2nt86he219H2VW+b5RcTL\nETEVeLe1bWtAe86vpLt/fw9FxOt5dTLwkZa2LXKg0rHWiYiX8vJLwDrNVZbUn/SX+eS2tK+Cjujf\ncXko8Pe1dmmE9p9fPXx/GwDPFtb/RUMgDbX1/S2rr83VWb8FbautPecHEMBdkqZKOqLTetl2LTm/\nzmjbVdrbx3r7/g4H/q8tbZdvYwd7LEl3ki7flDu9uBIRoWYmeJPUD7geOCGPrDSyrPadpaPOrwm/\nBX6Yl88Cfkn6x9tlOvn8Oqx9W3XA+TXX56p/f2Va+vnW8l+lzWnv+e0WEc9LWgu4U9LjeTSwVrTn\n56M7TADW3j7uGhEv1MP3J2kP4BvArq1tCw5UWi0iPt3UtnyD5boR8aKk9YB/N1GvNzAO+GNE3FjY\n1KL2nakjzq+ZfX9QX9LvgFva3tO26czzoz6+v+eADQvrG5L+2qmJ769Mk31tps5Hcp3eLWhbbW09\nv+cAIuL5/P6ypBtIw+219IuuJefXGW27Srv6GBEv5Pdu/f3lG2gvAz4bEQta07bEl3461s3AyLw8\nErixvIIkAb8H5kbEea1tX2Xt6l/+5VgyApjdVN0qae/nXw/f31RgC0n9Ja0AHJTb1eL312RfC24G\nDgWQNBR4LV/+aknbamvz+UnqK2nlXP4hYG+q/32Va813UD5qVC/fX0mj86uX70/SRsB44OsR8WRr\n2jZS7TuH6+kFrA7cBfwduANYLZevD9yWl3cD3ifd5Tw9vz7bXPtaebXk/PL6n4HngbdJ1yEPy+VX\nALOAmaRfkutU+5w6+Pzq5fv7HOlptCeB7xTKa+77q9RX4CjgqEKdC/P2mcAOyzrPWnq19fyATfP/\nMTOAOd31/EiXMZ8FXifdwP5PoF+9fH9NnV8dfX+/A16h4XfdlObaNvVyrh8zMzOrWb70Y2ZmZjXL\ngYqZmZnVLAcqZmZmVrMcqJiZmVnNcqBiZmZmNcuBipmZmdUsBypmPZSkpVI3dOKx+kuqOGGVpImS\nhnTw8baX9LnC+vBlppJv3P6TknZpQb1Rki5oYx+PknRIM9tb1WezeuUp9M16rlqZRCloQ18k9YqI\nJU1sHgwMAf4CEBG30Lop//cAFgIPLaNee/JBXbKM7a3ts1ld8oiKWQ+n5OeSZkuaJenLuXw5SRdJ\nekzSHZJuk3RghfaDJD2csyqPL2VVljQkl80Avlmo30fS1ZLmShoP9Ckcb0yhHydWONYYSRdLehj4\nmaSPSXpQ0jRJD0jaMk/J/UPgIEnTJX25OPKRR3fuyX27S9KGZcfoT5pd86TcfldJa0m6XtKU/Pp4\nhb4tVSef09OSVi3U+7uktSWNlnRKLjte0qO5T1flsmX2OX8ev87nPq/S92PW3XlExcwOALYHBgJr\nAX+TdB8p3cPGEbG1pHWAx0h5qspdARwTEfdLOhM4AzgJuBz4ZkRMknROof7/AosiYhtJA4BpuXww\nsH5EDAAo/nIvCNKU/7tEROR8KLtHxBJJewE/jogvSvo+MCQijs/7GlnYxwXA5RFxpaTDgPNJuYvS\nASLmS7oYWBgRv8rtrwLOjYgHcv6S24FtaJyj5dfldfI53pT3P0bSzsD8iPi3Uvbq0ojMaUD/iHhX\n0iqFc21Jn9eNiF0lbU3KlzKuwudm1m05UDGz3YCrIuXT+Leke4GPkVKyXwsQKdHdhPKGOZhYNRrS\nz48FriuUT8rlV5JyewDsTvqlTkTMljQrl88DNpV0PnAbKR9RJddFQ+6P1YArJG1O+sVe+j9NLJ3I\nrmQosH9e/iNwThP1iu33AraWPihaWSlZHMuo0xe4BvgBMAb4Sl4vNwu4StKNVE4W2VSfo1Q/Ih7L\nAaVZXfGlHzMLmv6l3lR5U1q6n6XqRcRrpJGdicDRpIRmlbxZWD4LuDuPwgwnX0ZqRz+bq79zRAzO\nrw0j4g0aj3pUqvMm8DCwuaQ1gf1I2WTL+/EF4DfADqQRrV4V+thUn99px3mZ1TwHKmZ2P+l+juUk\nrQV8ApgMPAAcmO9hWQcYVt4wIl4HFkjaLRcdAkzM5a9J2jWXH1xodh/wNQBJ25EuOSFpDaBXRIwH\nvk/6pb0sq5AyWQMcVij/L7ByYb34C/xB0shGqV/3VdjvwrL2dwDHf7AzaVCF/Vask0d/bgDOBeZG\nxILigZSGYDaKiInA/wNWJWXQLWpJn83qkgMVs54rACLiBtKlh5nA3cC3IuLfpHsd/gXMJV26mUZK\nR19uJPBzSTNJQccPc/lhwG8kTS8eD/gt0E/SXOBMYGou3wCYkOtfSfql3WS/s3OAn0iaBvQqbJsA\nbFO6mZbGTxYdBxyW+3swcEKFY9wCjCjdTEsKQHbMN7M+ChxZ6Etpv03VgXS552CWvuwTud9X5ktg\n04Bf50CvpX2OJpbN6oIaLvWamTUm6UMR8UYe7ZgMfDwHMWZmXcI305pZc25Vetx4BeCHDlLMrKt5\nRMXMzMxqlu9RMTMzs5rlQMXMzMxqlgMVMzMzq1kOVMzMzKxmOVAxMzOzmvX/AaPNlJSavfE/AAAA\nAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "t = extract_vars(country_map, 'tvtot_f', 'hasrelig_f') \n", "plot_cis(t)\n", "thinkplot.Config(title='Television',\n", " xlabel='log odds ratio television')\n", "save_plot()" ] }, { "cell_type": "code", "execution_count": 475, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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6EfgDcC9wbc5gewzwleb76FaJljfV/cYbpyy1s2en/TFjlkz+du+9qU9T7uG0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\nr51tDxkCTz1V61aaWa018j0qRwM3pZ9NHTj+EOBG4OHyHZJ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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "t = extract_vars(country_map, 'rdtot_f', 'hasrelig_f') \n", "plot_cis(t)\n", "thinkplot.Config(title='Radio',\n", " xlabel='log odds ratio radio')\n", "save_plot()" ] }, { "cell_type": "code", "execution_count": 476, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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zHsDDNARt95OKB96f1y8EbpB0EPA3YO4nF4n4r6THgZsW8TnM2qz4ds4xx8AF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\nAf1IicrJkvbP2/UD1gMmAp9GxL25fRKwR4mYNpV0LrAiacba+0sF7to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ggtKDMnOp/yXc\n3BNH0Wi5sD6M9B5NI40UHJXbR5Mud8wkJYrPN3Gscs9zDvDrfLllCdJIyZD82jhgt4j4RNIjpHt6\nCsnGYOB0SQtyX4/M7R8CW+f3/U3gkNx+Vo53dv7euyiWV0kJ3gqk8vafSrqKdOlpstIb+hZwAC2/\nn2btQvWXiM2sq5C0XER8mEcPngC2z/el1LR8j8W8iLiw0rFUI0lzI6Kle2OKt78GuDuPiplVDY+c\nmHVN9yg9Grw0afSg5hOTIv6Lqml+b6wmeOTEzMzMqopviDUzM7Oq4uTEzMzMqoqTEzMzM6sqTk7M\nzMysqjg5MTMzs6ry/wGtjwdWNnUf8AAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "t = extract_vars(country_map, 'nwsptot_f', 'hasrelig_f') \n", "plot_cis(t)\n", "thinkplot.Config(title='Hours of newspaper per week',\n", " xlabel='log odds ratio per hour newspaper')\n", "save_plot()" ] }, { "cell_type": "code", "execution_count": 477, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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zcJqk7wHfonEOo0aclNDMzGpVWyQl9Mq0maS5EdErJyo8qdCjUg+sGBGnSOoK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\nmNzEfgr1LgA+I2mOpJnA0Ij4JzAcuFHSLLLLPl9sl3dgZlV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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "t = extract_vars(country_map, 'netuse_f', 'hasrelig_f') \n", "plot_cis(t)\n", "thinkplot.Config(title='Internet',\n", " xlabel='log odds ratio Internet', \n", " xlim=[-0.15, 0.1])\n", "save_plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Make a scatter plot of fraction who have religion versus odds ratio of netuse." ] }, { "cell_type": "code", "execution_count": 478, "metadata": { "collapsed": false }, "outputs": [], "source": [ "def plot_scatter(t):\n", " plt.figure(figsize=(8,8))\n", "\n", " codes, names, params, lows, highs, means = zip(*t)\n", "\n", " for param, mean, code in zip(params, means, codes):\n", " plt.text(param, mean, code, fontsize=10, color='blue', \n", " horizontalalignment='center',\n", " verticalalignment='center')\n", " \n", " corr = np.corrcoef(params, means)[0][1]\n", " print(corr)" ] }, { "cell_type": "code", "execution_count": 479, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "-0.38248029366\n" ] }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "t = extract_vars(country_map, 'netuse_f', 'hasrelig_f')\n", "plot_scatter(t)\n", "thinkplot.Config(title='',\n", " xlabel='log odds ratio Internet',\n", " ylabel='fraction with affiliation',\n", " xlim=[-0.15, 0.05])\n", "save_plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Make similar figures for the second model, with degree of religiosity as the dependent variable." ] }, { "cell_type": "code", "execution_count": 480, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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fC/xNkPQvSb8DkPT1XBxwgqSrJS2V278saZykiZKGFe6xuaThuWhfWwKOx4EN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\nnXpKFi1KA2PPP7+izTMrq61y61TjY50DgGsjYsOI2CgivgT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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "t = extract_vars2(country_map, 'inwyr07_f', 'rlgdgr_f')\n", "plot_cis(t)\n", "thinkplot.Config(title='Interview year',\n", " xlabel='linear coefficient interview year')\n", "save_plot()" ] }, { "cell_type": "code", "execution_count": 481, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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Aw4C/AlOAfhHx73w9ETG40fOcmbbGde+egpKiAQPSKMqVV8LFF8NWW1Wmb9Zx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\nBcZExJy8e19gkKTT8vvlgU/l8n45XD7ASqQEhXsBv4+IBQB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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "t = extract_vars2(country_map, 'yrbrn60_f', 'rlgdgr_f')\n", "plot_cis(t)\n", "thinkplot.Config(title='Year born',\n", " xlabel='linear coefficient year born')\n", "save_plot()" ] }, { "cell_type": "code", "execution_count": 482, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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BNgHGNnPsKGBmRGwlaWngCUkPpmP9gE0i4o2Uon4zsoRt7wGvA1en634AnAD8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\nSLqMND3/ncAsYNOIeDHvT0ScVnY+zxBr1oI8Q2x9GTgwBSJFhx2Weks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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "t = extract_vars2(country_map, 'edurank_f', 'rlgdgr_f')\n", "plot_cis(t)\n", "thinkplot.Config(title='Education rank',\n", " xlabel='linear coefficient educational rank')\n", "save_plot()" ] }, { "cell_type": "code", "execution_count": 483, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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8FhGXpyJ/90n6K/CIpB6S/piK/U2StDuApC6Szk+F/KZKOrxwLUmnpGKCUyT9NrWtI+kv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\nrCrpYeD7wP2Fc0WOKg4HPinpeJZ/K+gi4GhJc4AtgBavHpt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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "t = extract_vars2(country_map, 'hincrank_f', 'rlgdgr_f')\n", "plot_cis(t)\n", "thinkplot.Config(title='Income rank',\n", " xlabel='linear coefficient income rank')\n", "save_plot()" ] }, { "cell_type": "code", "execution_count": 484, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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+CvxU0jhJa9K80szJr4DHgYdJb/d48tmsjf76V9hnn6Zt++2XlnbAAYpZZ+DC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\nm0eA/XKRv5WAAbn9eaC3pDX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4GSAi3s61dOZHAMPy9iRgSkQ8k8fyDNAbmCM4ceE/s45j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\nZp2pqSkLaf/hh/DZz8KvfpUlB4QsaWBTE6yxRhbQbfJkWH7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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "t = extract_vars2(country_map, 'tvtot_f', 'rlgdgr_f')\n", "plot_cis(t)\n", "thinkplot.Config(title='Television',\n", " xlabel='linear coefficient television')\n", "save_plot()" ] }, { "cell_type": "code", "execution_count": 485, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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BevWa/7yBA2Hw4LJ00czaUNleT861dr4J9I2ITyWtCiy/qOsi4pzC7veBPwNz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\nMltdVTuiAtwNfE/Sk8A9wE0pgSAAkjYBRpIteb8IuFvSocB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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "t = extract_vars2(country_map, 'rdtot_f', 'rlgdgr_f')\n", "plot_cis(t)\n", "thinkplot.Config(title='Radio',\n", " xlabel='linear coefficient radio')\n", "save_plot()" ] }, { "cell_type": "code", "execution_count": 486, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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AD4ED8/ENwA2SZgH3A2vm7eXF/ZpbNltk5XNOdt89zTv55S/h6KPTsE/v3jByZNWaaGbW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\nmFmDmj8fjj8e3nwTVlwxBSkXXwwHHpieOemTx07XWgvuvbe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qq+q0rbvyCrEdswrwYt4+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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "t = extract_vars2(country_map, 'nwsptot_f', 'rlgdgr_f')\n", "plot_cis(t)\n", "thinkplot.Config(title='Newspaper',\n", " xlabel='linear coefficient newspaper')\n", "save_plot()" ] }, { "cell_type": "code", "execution_count": 487, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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b8MYbaVHtjTfCZZfB2LEwdy4MHAgPPZRS69uSnJm2djgzbTMi4kFgdUnDiprX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\nmPy5TgfujYgRktYEJuSOvVdU7gqyUZQDgcPLVdRBCc2sp6j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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "t = extract_vars2(country_map, 'netuse_f', 'rlgdgr_f')\n", "plot_cis(t)\n", "thinkplot.Config(title='Internet',\n", " xlabel='linear coefficient Internet')\n", "save_plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here's the scatter plot of effect size on rlgdgr versus mean value of rlgdgr\n", "\n", "rlgdgr is on a 0 to 10 scale, so it is mildly astonishing that national means vary as much as they do, from 2.5 to 7. " ] }, { "cell_type": "code", "execution_count": 488, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "-0.156647270319\n" ] }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "t = extract_vars2(country_map, 'netuse_f', 'rlgdgr_f')\n", "plot_scatter(t)\n", "thinkplot.Config(title='',\n", " xlabel='log odds ratio Internet',\n", " ylabel='degree of religosity',\n", " xlim=[-0.35, 0.1], ylim=[1, 8])\n", "save_plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The correlation is dragged down by the outliers; without them, it is more like we saw above." ] }, { "cell_type": "code", "execution_count": 489, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "-0.361069845352\n" ] } ], "source": [ "codes, names, params, lows, highs, means = zip(*t[2:])\n", "corr = np.corrcoef(params, means)[0][1]\n", "print(corr)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The following is preliminary work on the next step, showing effect sizes in terms of probability of religious affiliation." ] }, { "cell_type": "code", "execution_count": 490, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
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cntryinwyrtvtottvpolrdtotrdpolnwsptotnwsppolnetuserlgblg...hasrelig_frlgdgr_fyrbrn60_fedurank_fhincrank_ftvtot_frdtot_fnwsptot_fnetuse_finwyr07_f
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2BE200242722262...0550.4798710.6919974726-5.449223
3BE200250101072...02240.4079440.3813055117-5.010420
4BE200222222261...1660.8679550.9112312226-5.010001
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5 rows × 32 columns

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" ], "text/plain": [ " cntry inwyr tvtot tvpol rdtot rdpol nwsptot nwsppol netuse rlgblg \\\n", "0 BE 2002 7 2 6 0 4 4 0 2 \n", "1 BE 2002 6 3 1 1 4 1 1 2 \n", "2 BE 2002 4 2 7 2 2 2 6 2 \n", "3 BE 2002 5 0 1 0 1 0 7 2 \n", "4 BE 2002 2 2 2 2 2 2 6 1 \n", "\n", " ... hasrelig_f rlgdgr_f yrbrn60_f edurank_f hincrank_f tvtot_f \\\n", "0 ... 0 0 -27 0.311326 0.486886 7 \n", "1 ... 0 0 -12 0.575953 0.167451 6 \n", "2 ... 0 5 5 0.479871 0.691997 4 \n", "3 ... 0 2 24 0.407944 0.381305 5 \n", "4 ... 1 6 6 0.867955 0.911231 2 \n", "\n", " rdtot_f nwsptot_f netuse_f inwyr07_f \n", "0 6 4 0 -4.587777 \n", "1 1 4 1 -4.644231 \n", "2 7 2 6 -5.449223 \n", "3 1 1 7 -5.010420 \n", "4 2 2 6 -5.010001 \n", "\n", "[5 rows x 32 columns]" ] }, "execution_count": 490, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head()" ] }, { "cell_type": "code", "execution_count": 491, "metadata": { "collapsed": false }, "outputs": [], "source": [ "grouped = df.groupby('cntry')\n", "group = grouped.get_group('NL')" ] }, { "cell_type": "code", "execution_count": 492, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0.427779488759\n", "2.0 7.0\n", "0.424357421451\n", "0.468580999574\n", "0.391422353132\n" ] } ], "source": [ "formula1 = ('hasrelig_f ~ inwyr07_f + yrbrn60_f + '\n", " 'edurank_f + hincrank_f +'\n", " 'tvtot_f + rdtot_f + nwsptot_f + netuse_f')\n", "\n", "model = smf.logit(formula1, data=group) \n", "results = model.fit(disp=False)\n", "\n", "mean = group.mean()\n", "low_net = np.percentile(group['netuse_f'], 25)\n", "high_net = np.percentile(group['netuse_f'], 75)\n", "\n", "def prob_hasrelig(results, df):\n", " return results.predict(mean)[0]\n", "\n", "print(mean['hasrelig_f'])\n", "print(low_net, high_net)\n", "print(prob_hasrelig(results, mean)) \n", "mean.netuse_f = low_net\n", "print(prob_hasrelig(results, mean)) \n", "mean.netuse_f = high_net\n", "print(prob_hasrelig(results, mean)) " ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.10" } }, "nbformat": 4, "nbformat_minor": 0 }