{ "cells": [ { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "MonTGYfCIDu_" }, "source": [ "# Powtórka podstawowych rachunków wektorowych i macierzowych w Pythonie\n", "Autor: Jarosław Żygierewicz\n", "## Działania na tablicach `numpy`\n", "Do działań na wektorach i macierzach użyjemy modułu `numpy`. Zaimportujmy go:" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "colab": {}, "colab_type": "code", "id": "P2y_kbTMIDvD" }, "outputs": [], "source": [ "import numpy as np" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "9ETUL_EPIDvN" }, "source": [ "Natywnym typem zmiennych w `numpy` są tablice, czyli `array`.\n", "\n", "Można je zadeklarować zarówno przez podanie listy własnych liczb, albo użyć metod generujących tablice z samymi zerami, jedynkami lub liczbami losowymi ze ustandardyzowanego rozkładu normalnego N(0,1).\n", "Użyj dokumentacji pakietu numpy by stworzyć następujące tablice i wektory:\n", "\n", "$$\n", "\\begin{array}{lcr}\n", "\\vec{v} = [0, 1,2,3,4,5,6,7,8,9] \\\\\n", "\\vec{v}_{0} = [0,0,...] \\\\\n", "\\vec{v}_{1} = [1,1,...] \\\\\n", "\\vec{v}_{rand} = [\\mbox{losowa},\\mbox{losowa}, ...]\n", "\\end{array}\n", "$$\n", "Wektory $\\vec{v}_{0}, \\vec{v}_{1}$ i $\\vec{v}_{rand}$ stwórz używając dedykowanych funkcji. Wymiar wektora zakoduj jako zmienną." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Vector of natural numbers: [0 1 2 3 4 5 6 7 8 9]\n", "Vector of zeros: [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", "Vector of ones: [1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]\n", "Vector of randoms: [-0.33620134 -1.47338168 0.99016139 0.36752493 -0.25271117 1.5958063\n", " -0.36225101 -0.74846547 -0.16474308 1.23843253]\n" ] } ], "source": [ "v = np.array([0,1,2,3,4,5,6,7,8,9])\n", "\n", "vec_dim = 10\n", "\n", "v0 = np.zeros(vec_dim) \n", "v1 = np.ones(vec_dim)\n", "vrand = np.random.randn(vec_dim)\n", "\n", "print(\"Vector of natural numbers: {}\".format(v))\n", "print(\"Vector of zeros: {}\".format(v0))\n", "print(\"Vector of ones: {}\".format(v1))\n", "print(\"Vector of randoms: {}\".format(vrand))" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "3aTrIrsIPzE-" }, "source": [ "Konkretny kształt (wymiarowość) możemy im nadać zarówno w momencie deklaracji, jak i po. Kształt jest przechowywany w polu `shape`, do zmiany kształtu służy metoda `reshape`. Liczbę elementów można sprawdzić metodą `size` lub funkcją `len`.\n", "\n", "
    \n", "
  1. korzystając z pola \"shape\" wektora utworzonego poprzednio oraz dedykowanej funkcji pakietu numpy stwórz macierz $A$ - jednostkową macierz, (ang. identity matrix) o wymiarze NxN, gdzie N to długość wektora z poprzedniej komórki
  2. \n", "
  3. wypisz na ekran kształt uzyskanej macierzy
  4. \n", "
  5. używając funkcji `reshape` spłaszcz (ang. flatten) macierz do jednowymiarowego wektora $\\vec{v}_{100}$
  6. \n", "
  7. utwórz nowy wektor, $\\vec{v}_{10}$ wybierając pierwsze 10 elementów spłąszczonej macierzy
  8. \n", "
  9. pomnóż nowy wektor przez macierz jednostkową: $\\vec{v}_{10a} = A \\times \\vec{v}_{10}$
  10. \n", "
\n", "\n", "**Uwagi:** \n", " " ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Macierz jednostkowa: \n", "[[1. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", " [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]\n", " [0. 0. 1. 0. 0. 0. 0. 0. 0. 0.]\n", " [0. 0. 0. 1. 0. 0. 0. 0. 0. 0.]\n", " [0. 0. 0. 0. 1. 0. 0. 0. 0. 0.]\n", " [0. 0. 0. 0. 0. 1. 0. 0. 0. 0.]\n", " [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]\n", " [0. 0. 0. 0. 0. 0. 0. 1. 0. 0.]\n", " [0. 0. 0. 0. 0. 0. 0. 0. 1. 0.]\n", " [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]] \n", " wymiary macierzy: (10, 10)\n", "Wektor jedynek i zer: [1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1. 0.\n", " 0. 0. 0. 0. 0. 0. 0. 0. 0. 1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 0. 0. 1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 0. 0. 1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1. 0. 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0. 1.]\n", "Wektor jedynek i zer (pierwsze 10 elementów): \n", "[1. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", "Wektor jedynek i zer pomnożony przez macież jednostkową: \n", "[1. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n" ] } ], "source": [ "A = np.identity(vrand.shape[0])\n", "print(\"Macierz jednostkowa: \\n{} \\n wymiary macierzy: {}\".format(A, A.shape))\n", "v100 = np.reshape(A, (-1))\n", "print(\"Wektor jedynek i zer: {}\".format(v100)) \n", "v10 = v100[:10]\n", "print(\"Wektor jedynek i zer (pierwsze 10 elementów): \\n{}\".format(v10)) \n", "v10a = A @ v10\n", "print(\"Wektor jedynek i zer pomnożony przez macież jednostkową: \\n{}\".format(v10a)) " ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "8usedF-_U2JD" }, "source": [ "Transpozycja macierzy w `numpy` jest fantastycznie prosta (jak wszystko w Pythonie): transponowana_tablica = tablica.T\n", "\n", "
    \n", "
  1. utwórz jeszcze raz wektor $\\vec{v} = [0,1,2,3,4,5,6,7,8,9]$ tym razem korzystając z dedykowanej funkcji pakietu numpy - `arange` \n", "
  2. wypisz na ekran wektor i jego kształt uzyskany z transpozycji $\\vec{v}$
  3. \n", "
  4. zmień kształt wektora $\\vec{v}$ na (1,-1)
  5. \n", "
  6. wypisz ponownie na ekran wektor i jego kształt
  7. \n", "
  8. wypisz ponownie na ekran wektor i jego kształt uzyskany z transpozycji $\\vec{v}$
  9. \n", "
" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Wektor oryginalny: [0 1 2 3 4 5 6 7 8 9]\n", "Wektor transponowany: [0 1 2 3 4 5 6 7 8 9] kształt: (10,)\n", "Wektor oryginalny, przeformatowany do kształtu (1,-1): [[0 1 2 3 4 5 6 7 8 9]], kształt: (1, 10)\n", "Wektor transponowany: [[0]\n", " [1]\n", " [2]\n", " [3]\n", " [4]\n", " [5]\n", " [6]\n", " [7]\n", " [8]\n", " [9]] kształt: (10, 1)\n" ] } ], "source": [ "v = np.arange(0,10)\n", "print(\"Wektor oryginalny: {}\".format(v))\n", "print(\"Wektor transponowany: {} kształt: {}\".format(np.transpose(v), np.transpose(v).shape))\n", "v = np.reshape(v, (1,-1))\n", "print(\"Wektor oryginalny, przeformatowany do kształtu (1,-1): {}, kształt: {}\".format(v, v.shape))\n", "print(\"Wektor transponowany: {} kształt: {}\".format(np.transpose(v), np.transpose(v).shape))" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "K37yUvAPIDv1" }, "source": [ "Pomyśl jaki jest efekt następujących poleceń a następnie sprawdź swoje przewidywania uruchamiając je w komórkach poniżej:\n", "\n", "
    \n", "
  1. \n", "\n", "x = np.full_like(shape=(4), np.sqrt(2)).reshape(4,1)\n", " \n", "
  2. \n", "
  3. \n", " \n", "print(np.dot(x.T,x))\n", " \n", "
  4. \n", "
  5. \n", " \n", "print(np.dot(x,x.T)) \n", " \n", "
  6. \n", "
  7. \n", " \n", "B = np.dot(x,x.T)\n", "print(np.linalg.inv(B)) \n", " \n", "
  8. \n", "
  9. \n", " \n", "B = np.dot(x,x.T)\n", "B += np.identity(B.shape[0]) \n", "print(np.linalg.inv(B)) \n", " \n", "
  10. \n", "
" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 85 }, "colab_type": "code", "executionInfo": { "elapsed": 1495, "status": "ok", "timestamp": 1570726269844, "user": { "displayName": "Anna Dawid", "photoUrl": "https://lh3.googleusercontent.com/a-/AAuE7mBMAlqIzrWbyBbGSDvCFuCvvSN7Xx3h3HRKaToc0r4=s64", "userId": "02862484648310443813" }, "user_tz": -120 }, "id": "uTZXoJDMIDv2", "outputId": "20c531f7-34f6-4a50-d6ab-10ba0cd3c22c" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "x = [[1.41421356]\n", " [1.41421356]\n", " [1.41421356]\n", " [1.41421356]]\n", "np.dot(x.T,x) = [[8.]]\n", "np.dot(x,x.T) = [[2. 2. 2. 2.]\n", " [2. 2. 2. 2.]\n", " [2. 2. 2. 2.]\n", " [2. 2. 2. 2.]]\n", "[[ 0.77777778 -0.22222222 -0.22222222 -0.22222222]\n", " [-0.22222222 0.77777778 -0.22222222 -0.22222222]\n", " [-0.22222222 -0.22222222 0.77777778 -0.22222222]\n", " [-0.22222222 -0.22222222 -0.22222222 0.77777778]]\n" ] } ], "source": [ "x = np.full(shape=(4), fill_value = np.sqrt(2)).reshape(4,1)\n", "print(\"x = {}\".format(x))\n", "print(\"np.dot(x.T,x) = {}\".format(np.dot(x.T,x)))\n", "print(\"np.dot(x,x.T) = {}\".format(np.dot(x,x.T)))\n", "B = np.dot(x,x.T)\n", "#print(np.linalg.inv(B)) #macierz B jest osobliwa -> ma liniowo zależne wiersze/kolumny\n", "B += np.identity(B.shape[0])\n", "B\n", "print(np.linalg.inv(B))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Przechowywanie danych z użyciem pakietu pandas\n", "Do przechowywania i elementarnych operacjach na danych użyjemy modułu `pandas`. Zaimportujmy go, oraz pakiet obsługi rysunków `matplotlib.pyplot` " ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import matplotlib.pyplot as plt" ] }, { "attachments": { "6dde2f07-23ef-4e87-9cbe-371a0f63484e.png": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAVsAAAFtCAIAAAAmjl4KAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAg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\nTkSuQmCC\n" } }, "cell_type": "markdown", "metadata": {}, "source": [ "Załadujmy jakieś ciekawe dane. Dane często są dostępne w postaci plików CVS - coma separated vector. Dane należy pobrać stąd:\n", "https://dane.gov.pl/pl/dataset/2476/resource/33116,raport-o-liczbie-mieszkancow-zaszczepionych-pierwsza-dawka-oraz-w-peni-zaszczepionych-w-miastach-powiatach-i-gminach-w-dniu-2021-09-12?page=1&per_page=20&q=&sort=\n", "\n", "W środowisku Colab plik z danymi trzeba załować do bieżącej sesji do katalogu \"dane\" (który trzeba wczesnej utworzyć):\n", "Menu z lewej -> ikona pliku -> ikona załadowania:\n", "\n", "![Screenshot_20210913_154726.png](attachment:6dde2f07-23ef-4e87-9cbe-371a0f63484e.png)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " wojewodztwo_teryt wojewodztwo_nazwa powiat_teryt powiat_nazwa \\\n", "0 14 mazowieckie 1405 grodziski \n", "1 30 wielkopolskie 3024 szamotulski \n", "2 14 mazowieckie 1465 Warszawa \n", "3 32 zachodniopomorskie 3208 kołobrzeski \n", "4 14 mazowieckie 1421 pruszkowski \n", "... ... ... ... ... \n", "2472 18 podkarpackie 1818 stalowowolski \n", "2473 18 podkarpackie 1806 kolbuszowski \n", "2474 18 podkarpackie 1812 niżański \n", "2475 12 małopolskie 1217 tatrzański \n", "2476 12 małopolskie 1211 nowotarski \n", "\n", " gmina_teryt gmina_nazwa kategoria liczba_ludnosci \\\n", "0 1405021 Podkowa Leśna Warszawski 3801 \n", "1 3024083 gm.m-w. Wronki Pilski 19081 \n", "2 1465011 M. St. Warszawa NaN 1794166 \n", "3 3208072 gm.w Ustronie Morskie Koszaliński 3617 \n", "4 1421062 gm.w Raszyn Warszawski 21971 \n", "... ... ... ... ... \n", "2472 1818022 gm.w Bojanów Tarnobrzeski 7621 \n", "2473 1806062 gm.w Dzikowiec Rzeszowski 6480 \n", "2474 1812032 gm.w Jeżowe Tarnobrzeski 10100 \n", "2475 1217022 gm.w Biały Dunajec Nowosą", "decki 7166 \n", "2476 1211032 gm.w Czarny Dunajec Nowosą", "decki 22592 \n", "\n", " w1_zaszczepieni_pacjenci w3_zaszczepieni_pelna_dawka %_zaszczepionych \\\n", "0 2688 2591 70,7182 \n", "1 13306 12777 69,7343 \n", "2 1229525 1192320 68,5291 \n", "3 2470 2395 68,2886 \n", "4 15009 14494 68,3128 \n", "... ... ... ... \n", "2472 1793 1709 23,5271 \n", "2473 1522 1449 23,4877 \n", "2474 2334 2219 23,1089 \n", "2475 1628 1571 22,7184 \n", "2476 4818 4655 21,3261 \n", "\n", " %_zaszczepionych_pe³n¹_dawk¹ \n", "0 68,1663 \n", "1 66,9619 \n", "2 66,4554 \n", "3 66,2151 \n", "4 65,9688 \n", "... ... \n", "2472 22,4249 \n", "2473 22,3611 \n", "2474 21,9703 \n", "2475 21,923 \n", "2476 20,6046 \n", "\n", "[2477 rows x 12 columns]\n" ] } ], "source": [ "df = pd.read_csv(\"dane/poziom_wyszczepienia_mieszkańców_gmin_w_dniu_20210912_wskaźniki.csv\", encoding='latin-1', sep=\";\")\n", "print(df)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Wypiszmy nazwy kolumn, dodajemy kolumnę z procentem zaszczepionych (tak, ta kolumna już jest, ale robimy to w ramach ćwiczenia).\n", "\n", "potem wybieramy tylko te które są interesujące:\n", "* liczba lidności powiatu\n", "* liczba zaszczepionych jedną dawką\n", "* liczba zaszczepionych dwiema dawkami\n", "* ułamek w pełni zaszczepionych" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Nazwy kolumn: Index(['wojewodztwo_teryt', 'wojewodztwo_nazwa', 'powiat_teryt',\n", " 'powiat_nazwa', 'gmina_teryt', 'gmina_nazwa', 'kategoria',\n", " 'liczba_ludnosci', 'w1_zaszczepieni_pacjenci',\n", " 'w3_zaszczepieni_pelna_dawka', '%_zaszczepionych',\n", " '%_zaszczepionych_pe³n¹_dawk¹'],\n", " dtype='object')\n" ] } ], "source": [ "print(\"Nazwy kolumn:\",df.columns)\n", "col1 = df[\"w1_zaszczepieni_pacjenci\"]\n", "col2 = df[\"liczba_ludnosci\"]\n", "df[\"ulamek_zaszczepionych\"] = col1/col2\n", "df_filtered = df[[\"liczba_ludnosci\",\"w1_zaszczepieni_pacjenci\", \"w3_zaszczepieni_pelna_dawka\",\"ulamek_zaszczepionych\"]]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Narysujmy różne histogramy:\n", "* liczby ludności\n", "* liczby ludności z ograniczeniem do 100 000\n", "* histogramy w skali logarytmicznej" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, axes = plt.subplots(2,2, figsize=(10,10))\n", "\n", "label_setter = np.vectorize(lambda ax: [ax.set_xlabel('Liczba ludności'), \n", " ax.set_ylabel('Ułamek zaszczepionych')])\n", "\n", "df_sub100k = df_filtered[df_filtered[\"liczba_ludnosci\"]<0.1E6]\n", "\n", "df_filtered[\"liczba_ludnosci\"].plot.hist(bins=20, ax = axes[0,0])\n", "df_sub100k[\"liczba_ludnosci\"].plot.hist(bins=20, ax=axes[0,1])\n", "\n", "df_filtered[\"liczba_ludnosci\"].plot.hist(bins=20, ax = axes[1,0], logy=True)\n", "df_sub100k[\"liczba_ludnosci\"].plot.hist(bins=20, ax=axes[1,1], logy=True)\n", "\n", "label_setter(axes);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Narysujmy dwuwymiarowy rozkład ułamka zaszczepionych względem liczby ludności:" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, axes = plt.subplots(2,2, figsize=(10,10))\n", "\n", "df_filtered.plot(x=\"liczba_ludnosci\", y=\"ulamek_zaszczepionych\", ax=axes[0,0], kind = \"scatter\")\n", "df_filtered.plot.hexbin(x=\"liczba_ludnosci\", y=\"ulamek_zaszczepionych\", ax=axes[0,1], gridsize = 30)\n", "\n", "df_sub100k.plot(x=\"liczba_ludnosci\", y=\"ulamek_zaszczepionych\", ax=axes[1,0], kind = \"scatter\")\n", "df_sub100k.plot.hexbin(x=\"liczba_ludnosci\", y=\"ulamek_zaszczepionych\", ax=axes[1,1], gridsize = 30)\n", "\n", "label_setter(axes);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Załadujmy dodatkowe moduły by usyskać jeszcze ładniejsze rysunki" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import seaborn as sns\n", "\n", "x = sns.jointplot(x=\"liczba_ludnosci\", y=\"ulamek_zaszczepionych\", data=df_sub100k, kind='hist')\n", "x.set_axis_labels('Liczba ludności', 'Ułamek zaszczepionych', fontsize=16);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Na koniec uczyńmy rysunki interaktywnymi z użyciem biblioteki `plotly`:" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "coloraxis": "coloraxis", "hovertemplate": "Liczba ludności=%{x}
Ułamek zaszczepionych=%{y}
count=%{z}", "name": "", "type": "histogram2d", "x": [ 3801, 19081, 3617, 21971, 18361, 24621, 86217, 9575, 29767, 23716, 18512, 5499, 27705, 32015, 22559, 1290, 28908, 62623, 21610, 2385, 10464, 15125, 10560, 52206, 35286, 53529, 26812, 27780, 22154, 23690, 3852, 12122, 14353, 19326, 15347, 29328, 10909, 30188, 19605, 10534, 19943, 20096, 43332, 16478, 26151, 19951, 20741, 13162, 14841, 12268, 31474, 3939, 18229, 8877, 6739, 17486, 12673, 28691, 15930, 31578, 10165, 13564, 18764, 10553, 13786, 33767, 15199, 3541, 16942, 32874, 25061, 27065, 13961, 27896, 4931, 35144, 30909, 3306, 24142, 55673, 5030, 11139, 41003, 31039, 14423, 8641, 71674, 47655, 3411, 37569, 8840, 18165, 27044, 44317, 11363, 40916, 9086, 8461, 5534, 4328, 15363, 12058, 12252, 3468, 4487, 56008, 15293, 9044, 46198, 16777, 23206, 12387, 21145, 38546, 67570, 27715, 26032, 15999, 11950, 17638, 12505, 49948, 4318, 13479, 19012, 16419, 46321, 18629, 11531, 2396, 66270, 7623, 9357, 5087, 28701, 11406, 43751, 34185, 41390, 9343, 18335, 89780, 11594, 48206, 6228, 33206, 38101, 36979, 22984, 9215, 6685, 72539, 7617, 16903, 15633, 25607, 14909, 40948, 61756, 33087, 5806, 48703, 6398, 72527, 12837, 49536, 32184, 43883, 30299, 13574, 20145, 54702, 37801, 7661, 63945, 2480, 3103, 8129, 26441, 19205, 20287, 11542, 47425, 5514, 4666, 16053, 59430, 22997, 4907, 6356, 35891, 21529, 4881, 16020, 25882, 15489, 2853, 13091, 3487, 62854, 4521, 78335, 25265, 56222, 45490, 5054, 31137, 10624, 7946, 46965, 9269, 12352, 45801, 10144, 24657, 7443, 33981, 6893, 61233, 27194, 9231, 19494, 13400, 16809, 13330, 71560, 10955, 36816, 21924, 5609, 4656, 17589, 6935, 72250, 24375, 6948, 74559, 10709, 3480, 21103, 11701, 4348, 66120, 17055, 16438, 15761, 6239, 10964, 93564, 9678, 30517, 67579, 3887, 30733, 9192, 31626, 3201, 4809, 12490, 4409, 10236, 32104, 10728, 5672, 18585, 9018, 5986, 24442, 20723, 3318, 7728, 3602, 24949, 29837, 15887, 9233, 22813, 14189, 18309, 5278, 8600, 28964, 5540, 8949, 37052, 16357, 15273, 4168, 5094, 12831, 5203, 22130, 9971, 14675, 10041, 8020, 20389, 4360, 6735, 4003, 5159, 13382, 13512, 16443, 12155, 2320, 29596, 23296, 38191, 29554, 4762, 12412, 6586, 4557, 10287, 4244, 25149, 5152, 24109, 4390, 26540, 5105, 9976, 11204, 9318, 14682, 45353, 3622, 6783, 23778, 5296, 3501, 8769, 7377, 9084, 23293, 14362, 5470, 39827, 9226, 17704, 16974, 10822, 33633, 52823, 1630, 12138, 15371, 2579, 42211, 6363, 6863, 14307, 13782, 20213, 14184, 22136, 5170, 7883, 20379, 39647, 44260, 1771, 20095, 71710, 12681, 10759, 5733, 3995, 99106, 3116, 12274, 26707, 90368, 3212, 11496, 14283, 6663, 12643, 10036, 12961, 6462, 18355, 3022, 9927, 31552, 6452, 3622, 15581, 22026, 5056, 29638, 6377, 32685, 9558, 11948, 61338, 3180, 3737, 6802, 21247, 4867, 17548, 51726, 7529, 56573, 9908, 6528, 6777, 16204, 36139, 13191, 22614, 10302, 17794, 5352, 4192, 18814, 31129, 4179, 9697, 4971, 2977, 19375, 4873, 39550, 5238, 49099, 17788, 29810, 14217, 6034, 9175, 9179, 4691, 6871, 7538, 17495, 26788, 4533, 34857, 3341, 4902, 4301, 4836, 15851, 18372, 7431, 42364, 6621, 33851, 11958, 6179, 4882, 3407, 12077, 5562, 26421, 12915, 4833, 5845, 10280, 24050, 12357, 32714, 8494, 9381, 15338, 10374, 10592, 9575, 4328, 8235, 41117, 32005, 14315, 9017, 6365, 3024, 6989, 5750, 8710, 11695, 10309, 6072, 47638, 3568, 3560, 8271, 23647, 14720, 23923, 8273, 12641, 16731, 18182, 33990, 5206, 11845, 10836, 16528, 16097, 17193, 3346, 15989, 3759, 2373, 24917, 10311, 13557, 4665, 98436, 8736, 31261, 4281, 6440, 8152, 11926, 6177, 9832, 3161, 46360, 4197, 14704, 20151, 8984, 3723, 6699, 12452, 6403, 7495, 3142, 2591, 13220, 4708, 7163, 3979, 7264, 8997, 2485, 37585, 24224, 17008, 6204, 7161, 5499, 9836, 30269, 18437, 3897, 17615, 3626, 4993, 5457, 8878, 12081, 24515, 5988, 35101, 14637, 2931, 7727, 15995, 9853, 7686, 10872, 19205, 3343, 6956, 38486, 3797, 9840, 1624, 7039, 5131, 12019, 19167, 13815, 3727, 2618, 8045, 13140, 2760, 19943, 25499, 16093, 5807, 5132, 19132, 14267, 4723, 4516, 25464, 17489, 3827, 8185, 11628, 3492, 7199, 9676, 7438, 17232, 4516, 8474, 5215, 19889, 8719, 3554, 2851, 4132, 4202, 10213, 4320, 28200, 7418, 9850, 18783, 67404, 4789, 4151, 3737, 4934, 12453, 4235, 27530, 4265, 8415, 24619, 4026, 24681, 20022, 4436, 7919, 4187, 41288, 11416, 10807, 8223, 5710, 12872, 60021, 3572, 13236, 21405, 5467, 32869, 11532, 4185, 6604, 3515, 17675, 18142, 2070, 38763, 4375, 5263, 22462, 9772, 23551, 13630, 8548, 9856, 7513, 6082, 40269, 1834, 14051, 6182, 13923, 11242, 4738, 5133, 12015, 7074, 3603, 22642, 7233, 26210, 7615, 5511, 21643, 33777, 47272, 16819, 8093, 4278, 6935, 11495, 4307, 7287, 6886, 41909, 7020, 5640, 4706, 3892, 18299, 5937, 16912, 7160, 5450, 7835, 8203, 13256, 2130, 62844, 15061, 3534, 7626, 19128, 5181, 6739, 7518, 4498, 5210, 4287, 19227, 4509, 4809, 11226, 13309, 6084, 10384, 5909, 12365, 6962, 10140, 10919, 8021, 4422, 5640, 3875, 5267, 14998, 5595, 3800, 3469, 8441, 5839, 6796, 7778, 5261, 4770, 3148, 14608, 3496, 10969, 4788, 21302, 4232, 6743, 5532, 6358, 6761, 3843, 9313, 13374, 8753, 6653, 5376, 3101, 3177, 17902, 13616, 17186, 9039, 35724, 5472, 4782, 7330, 6986, 4034, 8857, 23950, 10846, 7641, 2781, 13422, 12346, 3801, 38329, 4489, 5815, 2985, 4486, 4256, 3634, 4473, 3279, 5371, 4289, 4446, 3262, 47576, 5892, 13835, 3721, 29187, 5055, 3107, 6136, 5854, 8883, 5676, 6522, 3496, 7388, 49108, 6847, 9210, 11352, 2650, 6437, 4740, 9713, 13845, 5035, 6706, 3052, 6411, 3723, 5165, 8285, 2487, 16385, 18913, 5849, 3206, 3640, 14351, 7317, 2718, 7109, 5130, 5284, 11524, 6994, 10521, 39708, 10299, 5250, 10810, 16521, 22337, 13204, 4546, 7253, 21385, 34037, 88038, 3230, 3613, 4638, 3115, 3819, 3819, 9314, 18254, 15164, 12469, 3398, 18383, 5588, 19567, 7910, 3931, 51656, 15901, 17607, 9873, 5812, 11440, 12232, 5014, 5137, 5970, 2767, 56419, 12889, 3646, 5626, 11830, 23973, 8295, 12638, 14571, 7390, 5347, 5835, 12429, 61135, 8881, 12162, 4199, 11471, 4279, 3228, 6769, 9193, 3673, 3131, 6181, 8639, 4141, 15335, 6379, 9010, 2501, 4300, 4141, 13211, 4771, 4560, 13355, 6239, 17665, 5986, 5171, 7671, 15040, 5997, 3690, 4653, 5304, 21290, 6848, 6096, 12540, 27882, 12281, 6834, 4000, 5611, 5032, 3409, 8709, 12310, 4725, 3666, 3329, 7708, 5851, 5174, 44519, 5391, 18388, 9283, 14222, 5881, 18528, 13177, 10682, 4902, 8376, 3197, 6253, 5157, 8658, 24518, 8650, 5244, 5913, 5093, 3965, 22633, 4456, 3953, 2285, 8239, 3039, 8987, 7558, 8214, 3347, 2218, 7464, 7079, 12335, 8534, 20888, 4411, 2912, 17009, 7444, 11683, 12497, 7272, 6702, 5376, 25372, 7885, 9811, 62785, 11415, 12338, 8532, 7257, 5117, 11535, 5990, 11337, 59779, 19315, 7064, 1734, 4214, 43285, 7365, 7269, 3736, 6273, 5844, 3301, 9822, 10556, 3373, 4101, 3920, 4923, 5165, 11491, 8079, 8120, 8236, 6111, 8082, 4692, 7216, 19220, 12504, 10630, 54259, 6204, 7802, 14250, 3085, 6260, 15031, 22318, 7952, 8644, 6474, 18455, 4012, 4388, 7836, 2831, 4425, 9932, 4559, 8906, 16021, 4312, 3282, 27069, 5420, 5908, 5913, 10343, 10684, 18984, 1921, 2787, 5163, 6924, 8841, 10178, 14124, 4608, 10104, 7451, 8532, 16212, 6225, 16308, 6077, 3328, 3577, 17861, 5848, 6822, 27704, 3888, 5559, 7684, 12917, 5400, 9026, 9336, 7710, 15286, 3253, 12706, 8629, 16596, 12644, 5752, 8699, 8535, 13142, 56942, 8461, 3274, 15952, 8088, 5116, 6135, 3241, 2494, 7650, 4234, 7345, 13734, 10959, 4382, 4871, 4075, 4643, 5045, 19498, 6036, 15673, 2558, 5788, 3379, 5490, 9053, 4657, 9070, 15154, 4483, 8054, 5231, 9517, 3469, 4717, 4400, 7041, 5019, 4067, 20214, 8959, 4344, 4907, 6080, 5007, 3458, 6318, 12639, 6783, 4936, 4857, 7052, 7580, 8721, 13117, 16019, 4021, 8451, 3889, 4137, 8093, 8673, 4828, 4805, 5256, 19720, 9561, 13136, 5845, 11143, 6916, 4922, 20104, 23413, 6797, 4550, 10722, 6992, 10650, 8854, 13068, 7122, 2623, 6919, 5275, 10787, 3484, 8662, 3695, 10222, 17400, 5045, 4871, 21604, 5329, 7169, 15625, 4245, 3848, 4889, 5794, 7770, 8055, 14348, 3443, 9341, 8003, 5427, 3801, 10801, 10312, 26788, 83558, 7190, 19162, 4248, 7524, 5304, 7764, 3349, 10108, 11810, 4609, 3859, 4767, 22216, 8311, 11722, 2505, 4564, 3845, 10103, 16003, 14373, 3382, 4367, 9170, 4293, 16768, 6063, 13804, 7357, 5159, 2969, 5265, 12917, 35226, 8272, 26846, 8049, 7145, 23845, 4029, 9831, 5195, 4741, 21636, 4213, 6630, 3680, 3364, 4456, 26800, 7437, 5765, 9352, 7116, 2037, 10526, 10610, 5652, 3339, 9495, 9468, 5199, 5958, 9731, 10040, 11440, 3558, 16660, 9853, 29523, 20955, 7576, 15067, 4711, 3950, 7548, 4835, 6005, 3791, 18607, 10559, 6381, 8252, 2558, 4336, 6198, 6327, 3345, 4904, 15105, 2481, 18156, 5007, 5447, 16986, 6512, 11148, 4139, 3145, 14329, 7159, 6067, 26973, 5964, 15781, 5446, 5540, 2568, 37073, 9135, 5392, 15218, 6247, 3880, 4954, 6749, 6153, 5749, 4858, 4886, 4802, 10881, 8471, 5498, 7987, 5033, 12767, 6537, 3895, 4607, 6011, 13167, 6901, 7700, 5723, 4468, 7051, 4794, 6008, 3093, 2763, 3633, 3611, 7899, 8505, 8462, 4071, 16196, 20018, 27177, 14147, 13786, 11981, 3977, 7520, 6734, 11251, 5359, 4037, 3842, 4328, 4935, 2554, 7441, 3432, 6337, 5972, 3772, 9221, 6343, 15346, 9079, 3706, 5646, 2973, 6472, 14008, 8830, 12664, 2632, 7131, 9948, 5437, 3614, 4332, 7044, 4862, 7635, 7388, 2609, 8197, 6521, 10311, 3405, 8282, 77813, 20367, 3358, 8212, 7505, 7533, 5396, 3147, 3664, 2857, 4406, 3573, 4569, 5356, 3709, 12634, 8902, 4903, 2425, 6164, 8579, 29441, 36264, 2465, 4195, 4098, 11170, 7608, 8613, 7715, 9568, 4874, 5604, 4921, 9926, 5958, 2529, 2346, 9361, 4590, 6030, 3449, 5333, 4463, 3267, 3842, 6513, 3817, 20042, 8211, 9754, 3890, 2310, 7050, 25184, 8579, 5372, 6201, 4510, 6845, 4766, 7204, 8225, 60075, 4375, 3364, 6446, 16475, 3354, 11981, 22029, 4022, 15828, 4357, 7593, 7608, 5701, 16667, 21370, 5957, 7185, 7057, 11881, 14958, 8743, 8188, 5115, 6251, 4745, 8574, 2126, 12778, 1629, 5546, 2210, 2958, 6298, 45944, 12510, 5243, 4618, 11816, 6096, 14674, 11532, 11546, 7601, 7913, 10467, 5095, 2880, 8941, 16094, 6826, 4274, 3737, 7415, 4535, 8282, 18620, 5933, 5100, 7793, 7470, 5417, 3703, 3259, 7706, 3883, 4609, 6840, 34542, 6340, 12844, 9121, 10260, 3828, 11893, 5173, 5938, 15723, 13852, 3837, 4591, 3904, 4262, 21957, 6386, 4636, 5487, 10963, 5972, 5091, 16980, 69639, 5829, 5723, 7484, 62573, 5915, 9319, 5789, 3919, 2935, 9361, 33917, 5924, 6494, 3154, 2665, 7433, 20152, 12628, 16433, 11957, 4791, 4015, 26224, 6569, 9872, 6856, 5951, 9881, 3598, 36999, 7645, 8860, 11239, 4933, 6594, 3830, 4022, 6080, 11809, 13073, 7969, 45189, 4353, 5665, 8154, 3788, 13371, 3765, 8845, 4283, 6013, 7325, 14133, 6712, 17873, 6821, 4923, 4750, 33257, 5642, 15428, 11185, 5257, 2590, 9619, 11740, 5411, 5387, 4549, 12746, 10022, 5019, 3956, 3649, 2924, 6463, 11147, 6034, 5373, 13210, 5676, 9517, 6157, 4774, 4826, 6805, 7154, 11215, 4143, 3252, 26114, 9523, 6987, 9938, 6464, 12721, 18067, 2846, 7777, 15516, 7995, 16932, 6718, 7123, 7284, 11373, 15643, 4279, 7004, 13585, 3996, 7965, 4558, 29946, 7855, 4255, 2836, 8110, 3586, 4410, 3694, 5294, 2263, 3544, 5196, 6023, 9632, 20386, 5901, 16865, 7622, 8639, 3333, 6599, 6631, 4327, 5103, 4246, 4871, 5616, 7621, 3988, 8457, 8494, 5799, 4633, 14627, 18505, 20265, 3407, 4070, 4880, 2812, 7119, 3767, 4071, 10945, 5566, 8968, 1897, 3089, 4725, 8551, 8997, 9540, 10760, 5391, 5941, 13232, 13329, 3535, 3982, 9111, 4434, 12998, 1819, 2791, 4537, 7446, 5946, 5544, 2852, 4540, 5144, 8227, 4421, 12882, 3640, 2977, 2731, 11169, 12246, 4656, 7811, 23128, 3307, 6177, 2887, 5419, 4232, 6030, 6766, 19449, 3573, 15025, 6218, 7022, 2392, 5757, 7456, 4341, 7288, 25044, 7522, 16987, 23212, 21921, 3991, 7872, 3959, 8218, 4312, 6873, 4880, 5413, 8028, 4598, 4156, 6557, 5317, 5187, 6717, 8483, 61903, 14863, 6516, 6524, 11211, 7664, 10793, 9674, 5436, 4839, 9093, 12918, 3199, 4878, 10765, 10152, 5953, 6176, 7871, 11430, 11240, 5294, 7073, 8209, 6616, 16855, 4238, 4639, 3716, 5609, 4820, 6729, 8768, 6037, 6128, 4937, 59623, 2942, 11830, 9608, 8205, 16299, 20916, 11435, 6426, 5817, 4602, 22633, 4584, 5115, 6961, 9318, 10739, 5161, 3136, 5252, 1593, 6063, 7903, 7141, 11007, 11426, 6547, 3854, 5853, 6812, 3717, 7418, 7768, 3197, 3835, 11930, 2192, 10789, 10717, 4862, 8127, 4054, 6895, 4302, 4597, 14326, 5277, 14876, 9048, 3300, 8357, 2711, 4478, 6364, 5716, 6471, 8015, 8497, 10029, 6563, 14210, 4406, 8193, 5214, 2685, 4471, 5144, 5020, 7832, 7826, 3302, 4191, 2888, 11641, 9932, 4996, 6152, 10964, 27517, 3828, 9013, 6765, 5220, 8833, 6283, 11838, 3717, 9814, 7548, 5360, 5080, 7543, 3404, 14649, 6914, 5504, 4924, 7912, 3574, 6466, 8793, 8173, 3193, 5054, 4801, 4980, 22026, 6296, 5379, 3566, 8833, 3950, 6959, 10143, 5900, 5150, 4029, 13340, 5823, 9407, 7895, 3417, 4002, 8267, 8924, 1937, 15229, 4837, 7236, 15187, 10662, 5427, 4194, 4378, 13138, 6118, 3327, 21653, 8107, 4576, 8429, 12285, 5158, 5751, 5942, 10080, 2722, 5151, 6102, 9660, 5863, 12102, 8023, 4060, 4212, 14546, 4455, 2501, 5667, 3426, 3022, 7037, 5236, 2943, 4874, 2933, 6706, 4162, 8760, 4652, 2633, 17271, 11770, 4164, 8460, 11206, 13445, 6888, 8894, 12940, 3885, 4099, 10005, 5865, 7224, 2914, 28959, 11237, 6059, 13308, 2330, 5067, 9805, 2161, 4922, 4415, 5086, 11777, 18862, 6719, 9386, 3906, 6190, 2780, 8299, 3417, 5000, 17640, 7384, 2780, 3064, 6418, 14623, 2573, 8453, 3172, 5202, 7060, 11083, 15877, 13050, 6146, 3768, 3204, 4353, 6295, 7108, 11534, 7277, 2967, 7797, 14821, 7016, 3752, 4466, 10709, 5490, 3863, 5000, 2311, 23793, 3756, 5953, 6512, 6501, 4118, 9025, 12273, 5582, 9029, 7153, 14542, 6536, 4401, 5419, 5511, 5510, 4897, 10075, 11292, 5821, 2298, 9604, 4474, 6768, 4696, 2333, 4475, 6390, 4025, 7341, 8717, 1851, 6608, 9932, 6239, 5358, 4401, 6432, 9341, 8387, 13228, 13103, 4480, 6559, 16579, 3933, 12518, 11959, 7125, 8880, 6836, 6670, 15099, 5314, 4418, 26553, 7888, 9243, 25618, 6459, 8873, 10485, 2942, 5733, 3777, 17890, 4713, 5393, 5524, 3227, 3880, 3156, 9139, 5860, 9355, 10037, 16227, 5553, 2958, 13705, 3399, 8733, 17074, 6460, 19945, 3816, 11262, 4561, 7555, 6456, 11254, 9070, 5310, 8784, 17809, 3946, 15335, 7290, 5601, 4265, 4825, 6321, 1433, 7331, 4576, 4120, 12184, 3530, 7022, 17618, 4759, 2722, 12014, 3697, 6968, 12880, 21709, 6002, 5532, 5465, 14751, 25880, 5566, 4382, 7744, 6491, 5172, 2408, 4466, 8517, 6404, 4801, 11165, 3884, 8490, 22186, 2726, 7388, 10835, 3340, 11902, 3924, 4134, 9168, 2300, 3316, 4133, 18671, 10544, 15432, 11623, 3995, 3150, 16742, 5417, 6750, 25797, 9240, 9737, 6049, 13072, 4214, 5115, 3859, 6615, 21187, 5704, 7023, 5994, 2887, 6470, 10010, 7879, 5374, 14851, 9686, 14476, 7252, 1927, 5792, 7966, 5026, 5700, 6082, 9151, 6480, 2688, 2620, 7883, 8503, 8920, 11910, 14277, 3120, 2170, 3723, 4451, 5226, 3688, 10396, 8020, 20521, 6903, 12536, 3372, 6880, 14795, 13391, 7967, 6501, 11743, 5679, 3817, 4692, 3794, 4210, 11024, 5497, 7073, 14272, 9360, 9114, 5271, 10787, 7738, 13451, 3091, 5455, 2638, 5961, 23865, 6167, 4801, 5310, 13158, 11143, 3863, 8254, 7320, 6252, 20361, 6800, 7914, 7988, 13381, 6161, 4193, 10412, 8844, 18113, 4169, 1702, 5840, 5962, 5234, 4041, 4489, 10520, 3609, 4313, 3960, 2907, 7346, 4882, 6139, 5280, 21489, 7211, 6893, 24131, 2472, 3269, 2378, 6115, 6742, 8788, 10666, 9780, 2586, 3777, 8081, 14789, 8867, 10133, 10076, 11868, 10537, 3057, 24638, 7928, 8214, 11307, 8952, 7036, 6311, 6803, 6815, 10426, 11394, 3556, 5749, 3699, 4626, 4228, 4216, 18233, 8195, 7735, 3914, 5655, 10053, 20256, 7215, 2686, 27533, 7373, 4238, 7379, 2059, 8498, 6069, 8933, 8498, 9654, 7453, 3876, 7853, 13455, 18293, 1976, 5368, 6026, 3148, 1848, 10338, 6828, 5774, 5536, 11335, 6523, 8340, 7886, 17268, 12944, 11715, 5463, 18721, 8094, 6066, 6055, 9811, 6999, 4646, 4923, 6012, 5772, 5357, 5113, 6848, 11115, 8045, 7621, 6480, 10100, 7166, 22592 ], "xaxis": "x", "xbingroup": "x", "y": [ 0.7071823204419889, 0.6973429065562602, 0.6828863699198231, 0.6831277593191024, 0.6591144273187735, 0.6553348767312457, 0.6479928552373662, 0.6412532637075719, 0.6458158363288206, 0.6376707707876539, 0.6401793431287813, 0.6359338061465721, 0.6360584731997835, 0.6335780103076682, 0.6342923001906113, 0.6232558139534884, 0.6273695862736959, 0.626031969084841, 0.6225358630263766, 0.6251572327044025, 0.6217507645259939, 0.6193719008264463, 0.6203598484848485, 0.6176110025667548, 0.6171569460976024, 0.6155728670440322, 0.6187155005221543, 0.6123470122390209, 0.6142005958291956, 0.6097509497678345, 0.6092938733125649, 0.6085629434086784, 0.6129032258064516, 0.610214219186588, 0.5994005343063791, 0.6037575013638844, 0.6044550371253093, 0.6013979064528951, 0.6017342514664626, 0.5933168786785646, 0.6022163165020308, 0.5972332802547771, 0.5971799132280994, 0.5973419104260226, 0.5995946617720164, 0.5943561726229262, 0.5982835928836604, 0.5942865825862331, 0.5998248096489455, 0.5975709162047603, 0.5957298087310161, 0.5912668189895912, 0.5955345877448023, 0.5932184296496564, 0.5914824157886927, 0.5941324488161959, 0.6069596780557089, 0.5943327175769405, 0.5983050847457627, 0.5921210969662423, 0.5930152484013773, 0.5851518726039516, 0.5913984225111917, 0.5840993082535771, 0.5847961700275642, 0.5837059851334143, 0.5866833344298967, 0.5806269415419373, 0.5869436902372801, 0.5858733345501004, 0.5813814293124776, 0.5810086828006651, 0.6006016760977008, 0.5807642672784629, 0.57980125735145, 0.581493284771227, 0.581837005402957, 0.5843920145190563, 0.5827603346864386, 0.5821134122465109, 0.5801192842942345, 0.577879522398779, 0.575226202960759, 0.578594671220078, 0.5756777369479303, 0.577363731049647, 0.5731087981694897, 0.5747350750183612, 0.5766637349750806, 0.5721738667518432, 0.5764705882352941, 0.5801266171208368, 0.5743233249519302, 0.5763476769636934, 0.5779283639883833, 0.5779157297878581, 0.5729694034778781, 0.5720364023165111, 0.5728225514998193, 0.5676987060998152, 0.5733255223589143, 0.5682534416984575, 0.5681521384263793, 0.5715109573241061, 0.5685313126810787, 0.5717754606484788, 0.56967239913686, 0.5661211853162318, 0.5664530932074981, 0.5630923287834535, 0.5655433939498405, 0.5664002583353516, 0.565854812012296, 0.5683598816997872, 0.5658280301909131, 0.5636298033555837, 0.5679548248309773, 0.5612850803175199, 0.5625941422594142, 0.5629323052500284, 0.5593762495001999, 0.5631456714983583, 0.5613710050949514, 0.5623562578826322, 0.5618030717441616, 0.5652597600341068, 0.5577168023142851, 0.5660529282301787, 0.5618766802532305, 0.5563439065108514, 0.5578391429002565, 0.5630329266692903, 0.5633215774286631, 0.5618242579123255, 0.5586216508135605, 0.5592670524285464, 0.5599872002925648, 0.5589878601725903, 0.5561246677941531, 0.5760462378251097, 0.5596400327242977, 0.5567275562486077, 0.5579610143177506, 0.5577936356470149, 0.5555555555555556, 0.55450822140577, 0.5591191832235375, 0.5548013737526705, 0.5570396797772363, 0.5548562126966902, 0.5552729992520569, 0.5559354278388178, 0.5616384403308389, 0.5533928888363012, 0.5531248001023475, 0.5581286367009021, 0.5545643570997384, 0.5599785093289049, 0.5520435261351124, 0.5565025538731224, 0.55545986910093, 0.5537851877707739, 0.5597061581744295, 0.5571718118769562, 0.5500506348835398, 0.5567869832041343, 0.5533184190902312, 0.5588952441720029, 0.5513053236080399, 0.55407396493296, 0.5531397369074212, 0.551515483894556, 0.5491653659956086, 0.5560631771309229, 0.5523496755023849, 0.5504032258064516, 0.5517241379310345, 0.5511132980686432, 0.5533073635641618, 0.5505337151783389, 0.5522748558189974, 0.5529370992895513, 0.5515445440168687, 0.5460645629307218, 0.5499357051007286, 0.5498660686476048, 0.5491839138482248, 0.5472018089315998, 0.5512533115956797, 0.5500314663310258, 0.5529241313978435, 0.5458683636025826, 0.550501946322475, 0.5523096129837702, 0.5528939030986786, 0.5510362192523727, 0.5401331931300386, 0.5446489954930869, 0.5466016633209062, 0.5478569383014605, 0.5405883654058836, 0.5482096125614349, 0.5448248565208786, 0.5474369463910924, 0.5467575291272807, 0.5478828650573803, 0.5463596364453865, 0.5458396084337349, 0.5488295997986409, 0.546598530820824, 0.5460135936994283, 0.5453367875647669, 0.5468439553721535, 0.5430796529968455, 0.5498235795108894, 0.5427918849926106, 0.5424796209646567, 0.5504134629334108, 0.5452942041056293, 0.5514451717290578, 0.5469613259668509, 0.5482712629527033, 0.5454477611940298, 0.5396513772383842, 0.5441110277569392, 0.5420206819452208, 0.5416704701049749, 0.5454965232507606, 0.544471811713191, 0.5439472276698164, 0.5414518900343642, 0.5427824208312013, 0.5480894015861572, 0.5441107266435986, 0.5393230769230769, 0.5424582613701785, 0.5396933971753913, 0.54132038472313, 0.5344827586206896, 0.5405392598208786, 0.5447397658319801, 0.5416283348666053, 0.5404567453115547, 0.5394312518323072, 0.539968365981263, 0.5355624643106401, 0.5366244590479243, 0.5396753009850419, 0.5402932751913129, 0.5433973961562306, 0.5392076547498116, 0.539427928794448, 0.5526112683303319, 0.5416327725897244, 0.5413402959094865, 0.540567887181433, 0.542642924086223, 0.5385735080058224, 0.5353082465972778, 0.5348151508278521, 0.5413247362250879, 0.536257164216297, 0.5378448918717376, 0.534379407616361, 0.535593220338983, 0.5379241516966068, 0.5414300033411293, 0.5381310858358563, 0.5352024320802973, 0.5385774562989752, 0.5376552795031055, 0.5374791782343142, 0.5364944486752976, 0.5377551362402386, 0.5367281425064518, 0.5403444167659482, 0.5378512251786263, 0.534921417999859, 0.5315964826041837, 0.5371352785145889, 0.531860465116279, 0.535423284076785, 0.5402527075812275, 0.5351435914627333, 0.53354744683148, 0.543437060585682, 0.5307405224906698, 0.5376679462571977, 0.5300353356890459, 0.5347985347985348, 0.5331539496444359, 0.5301852688657931, 0.5391635743656604, 0.5354003407155026, 0.5368987152674036, 0.5345386533665836, 0.5326891951542498, 0.5293577981651376, 0.53184855233853, 0.533349987509368, 0.5342120566001163, 0.5328799880436407, 0.5358940201302546, 0.5321413367390379, 0.5308926367749898, 0.528448275862069, 0.5303757264495202, 0.5335679945054945, 0.5330837108219214, 0.531501657981999, 0.5365392692146157, 0.5332742507251047, 0.5308229577892499, 0.543998244459074, 0.5300865169631573, 0.5424128180961357, 0.5343751242594139, 0.532608695652174, 0.5354431954871625, 0.528246013667426, 0.5336096458176338, 0.5375122428991185, 0.5325781876503609, 0.5354337736522671, 0.5309079201545396, 0.5354856286609454, 0.5349150001102463, 0.5281612368856985, 0.5311808934099955, 0.5304903692488855, 0.528512084592145, 0.5307055127106541, 0.5324438362413046, 0.5363969093127288, 0.5270805812417437, 0.5271111492723136, 0.5275031332683471, 0.53345521023766, 0.5306450397971225, 0.5328419683503143, 0.5360935381834614, 0.5286909390833039, 0.5292921825910183, 0.528974519073529, 0.5287469473524791, 0.5239263803680981, 0.5243862250782666, 0.5289831500878277, 0.5261729352462194, 0.5249579493496955, 0.5231808895175232, 0.5305260090339502, 0.528692248549661, 0.5303294151792193, 0.5286696680354227, 0.5228426395939086, 0.5240784242862305, 0.5263056092843327, 0.5301281238107319, 0.5279454340252221, 0.5250334199308901, 0.527745142340714, 0.5217391304347826, 0.5346603632744463, 0.526537442476642, 0.5354467313303367, 0.528487777674505, 0.5281702424559568, 0.5241551939924907, 0.5273747300869776, 0.5256739409499358, 0.5272119928303731, 0.5285131239001011, 0.5238580028328612, 0.5594645080946451, 0.5247912317327766, 0.5307008331583001, 0.5255890739906949, 0.5262200427113818, 0.5223196492626544, 0.5217190031633362, 0.525224388734138, 0.5235085807681831, 0.5215089344804765, 0.5289614183539841, 0.5234533468559838, 0.5244885306881587, 0.5223633351739371, 0.521532635902702, 0.5272405339144647, 0.5282832278481012, 0.5243943585936973, 0.5265798965030578, 0.525929325378614, 0.5257376020087885, 0.528205557415467, 0.5226939254621931, 0.5238993710691824, 0.5351886540005352, 0.523228462216995, 0.5234621358309408, 0.5253749743168277, 0.5291201276498746, 0.5255964118625063, 0.5206534732368177, 0.5215915719512841, 0.5240209931368591, 0.5268075980392157, 0.5182234026855541, 0.5234509997531474, 0.5266886189435236, 0.5236903949662649, 0.5284337136287256, 0.5203843913803144, 0.5250084298078004, 0.522982062780269, 0.5174141221374046, 0.5206760922717125, 0.5303414822191526, 0.5314668581000239, 0.5238733628957409, 0.5149869241601287, 0.5189788377561303, 0.5201548387096774, 0.5224707572337369, 0.5291529709228824, 0.5215731195112638, 0.5204790321595144, 0.5236114234315269, 0.518919825561892, 0.527256101849898, 0.5235333112363275, 0.5183651226158038, 0.5300141627628282, 0.5195054359411639, 0.5221947314801338, 0.5177765985672592, 0.5214061160331523, 0.5224354188442586, 0.5254798146922568, 0.5182603207390194, 0.5190062855432506, 0.525499796001632, 0.5175540571960009, 0.5363937138130687, 0.5189577944609173, 0.5224798606575223, 0.5237518503566142, 0.5200878104050609, 0.5248451895484065, 0.5219639006233199, 0.5168924569325974, 0.5127043210875546, 0.5192544039328144, 0.5095391840328735, 0.51825784549143, 0.5142035239122618, 0.5166723439688127, 0.5164537359659311, 0.521415270018622, 0.5153122326775021, 0.514396887159533, 0.5231600831600831, 0.5218095006878692, 0.5224674451305251, 0.5244878737932658, 0.5161496642149025, 0.5237971052288434, 0.5198573356468094, 0.5168051359516617, 0.5218798955613577, 0.5219500924214417, 0.5247115968427444, 0.5185689617433179, 0.5180128104983597, 0.5130282920013971, 0.5263391371853167, 0.5220738413197172, 0.513558201058201, 0.5196737730719703, 0.516695652173913, 0.5144661308840414, 0.5245831551945276, 0.5173149675041226, 0.5212450592885376, 0.5160166253830976, 0.5176569506726457, 0.5126404494382022, 0.5122717930117278, 0.518120691842517, 0.5118885869565217, 0.5166158090540484, 0.5173455820137798, 0.5121430266592832, 0.5135975135975136, 0.5141348586514135, 0.5140335392762577, 0.5117172493276988, 0.5138877163360067, 0.5191029900332226, 0.5170014520813165, 0.5178604708951978, 0.5200372244518118, 0.5083682008368201, 0.5134780161360936, 0.5147645650438947, 0.5094816687737042, 0.5143075009029979, 0.5144990786538648, 0.5145681197905141, 0.5189710610932476, 0.5129728960949246, 0.5139652014652014, 0.5135472313745562, 0.5204391497313712, 0.5145962732919255, 0.5107948969578018, 0.5087204427301694, 0.5120608709729643, 0.5069161920260374, 0.5150268902246125, 0.512618636755824, 0.5067905646890636, 0.5159140369967355, 0.5082129919110714, 0.5133570792520036, 0.5170561375235025, 0.5111210628452008, 0.5127690330870542, 0.5085116351710136, 0.5152768512341561, 0.5155951623169955, 0.5113855654187572, 0.5079425113464447, 0.5097706032285472, 0.509842244869468, 0.5116863533551144, 0.5156938325991189, 0.5071690563521174, 0.5134808853118712, 0.5081548490089132, 0.5118064729194187, 0.5099365004703669, 0.5107994842037396, 0.5042591816785366, 0.5175486452082196, 0.5084383895892639, 0.5042122303346658, 0.5057221890763139, 0.5034642032332564, 0.5112688049957422, 0.5300606729178158, 0.5055077107951131, 0.5043063954553784, 0.5045055192610949, 0.5072427779157355, 0.5088721191107485, 0.5115230460921844, 0.5069371242984531, 0.5104188016670083, 0.5069941999317639, 0.5058884431215219, 0.506720850265708, 0.5088805439967523, 0.5150923757481135, 0.5080022075055187, 0.5079927102317104, 0.5022434938677834, 0.5053191489361702, 0.5060541495608792, 0.5101395838820121, 0.5026422764227643, 0.5123152709359606, 0.5030544111379457, 0.5141297992594036, 0.5039520758798569, 0.5071737882819429, 0.5098805646036917, 0.5097933995170378, 0.49809014514896865, 0.5026724673710379, 0.5031963470319635, 0.5072463768115942, 0.5002256430827859, 0.5008039530961998, 0.5020195115888896, 0.5071465472705355, 0.5019485580670304, 0.506585824796153, 0.5039601878460783, 0.5053991107347026, 0.4991142604074402, 0.5038878416588124, 0.5060895419978272, 0.5105827018552391, 0.508613317043372, 0.5127278981768146, 0.4959908361970218, 0.5029865259063759, 0.5013435303844563, 0.5077977951062114, 0.5038300835654597, 0.5062001771479185, 0.4961057351899929, 0.5073825503355704, 0.5043994167630348, 0.5077417134992545, 0.49774901519414744, 0.5113995089442301, 0.4975798644724105, 0.5014278914802475, 0.4998531283658083, 0.4997685185185185, 0.49939716312056737, 0.4993259638716635, 0.5040609137055837, 0.5019964861843156, 0.5006824520799953, 0.5024013363959073, 0.5136111780293905, 0.5030773347605031, 0.49473044183218484, 0.5024492090259375, 0.5067296340023613, 0.49752996730839083, 0.49871043376318874, 0.494949494949495, 0.5028636419025956, 0.4940387481371088, 0.5025323123050119, 0.4963540105883528, 0.5090171325518486, 0.5001894178557899, 0.5025077621208502, 0.49983045921333075, 0.4979852838121934, 0.49708522254094567, 0.5006688556487899, 0.4998248686514886, 0.5018645121193288, 0.4983255860448843, 0.5013997760358343, 0.4938047748564521, 0.49922915206727403, 0.5019206145966709, 0.49736834098999055, 0.4969649670482137, 0.4946236559139785, 0.49348879466989704, 0.4961593172119488, 0.49833097595473835, 0.49862198214088854, 0.4966183574879227, 0.4982070531176638, 0.5001142857142857, 0.5261257837735132, 0.49639390971418396, 0.4968276708964388, 0.49862001613519596, 0.4972120322817315, 0.49976602714085167, 0.49259334415584416, 0.49700519100226276, 0.49654718842486023, 0.4958404728202836, 0.5043620501635769, 0.49647711906625863, 0.4990294403105791, 0.5031243266537384, 0.49902152641878667, 0.5004221190375686, 0.5012663159945451, 0.49812734082397003, 0.4964659315804354, 0.4976408548431862, 0.49726172599593677, 0.4914973040232269, 0.49427699351392596, 0.5004596191726854, 0.4901106877154781, 0.49355449799011225, 0.49989637919294194, 0.5000211541716026, 0.49408407158570666, 0.4996910910663536, 0.49789621318373073, 0.4983417447728911, 0.4991735537190083, 0.49965172974228, 0.500617538081515, 0.496514667441185, 0.4905628862535494, 0.5002849002849002, 0.4929078014184397, 0.4936251593710157, 0.5025693730729702, 0.49450789660637195, 0.4982314300151592, 0.497457426679281, 0.49120111731843574, 0.49743119266055047, 0.4912571793235482, 0.4927465561379983, 0.4894387447193724, 0.5032863849765258, 0.49229838966329326, 0.4912024433968528, 0.4946236559139785, 0.4959349593495935, 0.4942492680886658, 0.5047288168307277, 0.4971063956076569, 0.49561053471668, 0.49844375277901287, 0.4928982725527831, 0.49871705155120133, 0.4963332813231393, 0.49212685739631845, 0.49012268662923686, 0.49563513272759663, 0.48688857164324895, 0.4911242603550296, 0.4938366718027735, 0.499238449822305, 0.48968863728265266, 0.49109451307095664, 0.49615384615384617, 0.4908874439051195, 0.4912105722478494, 0.494572591587517, 0.49663120567375885, 0.49006451612903223, 0.4983861780899943, 0.494732631017469, 0.49079535299374444, 0.4992105263157895, 0.49120784087633323, 0.4892785215021917, 0.4875834903236856, 0.4949970570924073, 0.4913859604011314, 0.49154153202813156, 0.489727463312369, 0.48856416772554, 0.4887732749178532, 0.4871281464530893, 0.4978575986872094, 0.49415204678362573, 0.4961505961881513, 0.4938563327032136, 0.49191754411982797, 0.48752711496746204, 0.49103491664045296, 0.4919390622688951, 0.4977881863127765, 0.4925373134328358, 0.49125168236877526, 0.48943219467611104, 0.4937622125356982, 0.49051339285714285, 0.4888745565946469, 0.48441926345609065, 0.48860462518154396, 0.4895710928319624, 0.4894681717677179, 0.49264299148135854, 0.49067853543836076, 0.4904970760233918, 0.5, 0.4926330150068213, 0.48897795591182364, 0.4885969261279127, 0.48808851755673477, 0.4891440501043841, 0.4870920154895814, 0.4876325088339223, 0.49262855088097807, 0.48666368648487557, 0.48452940223554186, 0.487503288608261, 0.4880638680894362, 0.4878592114056583, 0.4897678417884781, 0.48710217755443885, 0.4859563085153812, 0.48754699248120303, 0.49587231700605394, 0.4869215291750503, 0.4867337602927722, 0.48761869298082294, 0.48915831196083004, 0.4964012595591543, 0.4981606376456162, 0.48377333109130655, 0.5032247114731839, 0.48644741597397906, 0.48535339962375706, 0.48596978106691335, 0.4892185954500495, 0.4908271644673318, 0.48989569752281614, 0.4914588315681585, 0.4830575256107171, 0.48784355179704014, 0.48221404477154245, 0.482837528604119, 0.49106659447753115, 0.4864584181803372, 0.4873667299547247, 0.48979370249728554, 0.4847603946441156, 0.4935849056603774, 0.48966910051266116, 0.4835443037974684, 0.48769690106043445, 0.48515709642470206, 0.48500496524329695, 0.49075454816582165, 0.49344692005242463, 0.48947122133832477, 0.4802578565672844, 0.4925459825750242, 0.48569704284852144, 0.49215922798552475, 0.4819652120842234, 0.49019193147570456, 0.48230466746452383, 0.4909544603867748, 0.4824175824175824, 0.48421712772629083, 0.4818914855815225, 0.49705665930831494, 0.4817836545224363, 0.48460038986354775, 0.4823996971990916, 0.49166955918084, 0.48169859879897053, 0.49149320406805436, 0.4854689231389141, 0.4891737061850665, 0.4887619047619048, 0.4845513413506013, 0.4818110283881121, 0.47875721896405066, 0.48485307482581036, 0.4898812142542895, 0.4829725630773473, 0.47907411737198974, 0.482798131445192, 0.4803153183852427, 0.4873065015479876, 0.48989759202878497, 0.48921949115998276, 0.48346709470304977, 0.4878240377062058, 0.4818015187221786, 0.48174790637749626, 0.4798400350608086, 0.48516222632550776, 0.4840805196888283, 0.4820482636845203, 0.4881140183865528, 0.48783106657122405, 0.48208718761179536, 0.48596713021491783, 0.48537267870770795, 0.483061019049094, 0.48462360857807685, 0.4848639745555745, 0.48384482933252304, 0.48726772195457674, 0.486013986013986, 0.4843034663178548, 0.4782608695652174, 0.4835507105314386, 0.4812395309882747, 0.4857246114925913, 0.47868625817543736, 0.48180619132593683, 0.4832693362589139, 0.4845360824742268, 0.4846153846153846, 0.4798731906728403, 0.4872814948764316, 0.4880519069473018, 0.4822592821357491, 0.4817320703653586, 0.47634187394800825, 0.4875749785775493, 0.48587979724837077, 0.48103377770507894, 0.4791127125323725, 0.4826508797895083, 0.48368659204572517, 0.4847877255688257, 0.48305678896938536, 0.47552664188351923, 0.48116413059536123, 0.4768845860981181, 0.4789000816771032, 0.4825934206323858, 0.48584371460928655, 0.47922213219122584, 0.4808017387104564, 0.47903488751222695, 0.48001254115065056, 0.4794672586015538, 0.485405837664934, 0.4755813953488372, 0.4774209128229896, 0.4776322761335251, 0.4864808216306854, 0.47960526315789476, 0.48109322351179334, 0.4810065715659561, 0.47449759411265213, 0.4771132642833278, 0.4912009282537227, 0.48025029331247554, 0.48277925531914895, 0.47907286976821745, 0.4802168021680217, 0.47560713518160325, 0.471342383107089, 0.4743541568811649, 0.47692757009345793, 0.47851049868766404, 0.4711323763955343, 0.48343017000215194, 0.474065629834704, 0.4771729587357331, 0.47475, 0.4758510069506327, 0.4793322734499205, 0.48430624816661777, 0.47479618785164773, 0.4742485783915516, 0.48444444444444446, 0.4735406437534097, 0.4821267647942325, 0.47989102231447844, 0.47803794223209706, 0.47661383842288363, 0.4778858464925088, 0.47653496568354664, 0.4760169675875571, 0.4804481309921362, 0.4782730980171565, 0.47985036558408434, 0.47716968911917096, 0.4739318509524171, 0.47313237221494103, 0.47939616483068137, 0.4795845272206304, 0.47794807632155145, 0.4751319366703982, 0.4812875702928059, 0.47401247401247404, 0.4828697283628355, 0.47526011560693643, 0.4820747520976354, 0.4728564180618975, 0.4769291183978009, 0.4791929382093317, 0.47209826359740203, 0.47710951526032314, 0.4748292436124462, 0.47702407002188185, 0.47372253914309986, 0.47877591312931883, 0.4765772782908646, 0.4764487959777719, 0.47285122960798637, 0.4738571855392889, 0.46753832281334534, 0.4740085744908896, 0.4793049865800254, 0.47385488447507096, 0.47140848371221, 0.47807353504404443, 0.4763092269326683, 0.4732142857142857, 0.4746310776647657, 0.47313272434175174, 0.4752204057177095, 0.4744338641273906, 0.4682343234323432, 0.47373918233363177, 0.4767485119047619, 0.47564244048557464, 0.47609384908053265, 0.4711038630109061, 0.47511348251971014, 0.46938239159001316, 0.4807910520343654, 0.473511486169714, 0.4805015846768637, 0.49208520617549345, 0.47108799306458604, 0.4702838063439065, 0.4767575196260034, 0.4735609494973151, 0.4730520320994046, 0.4694224235560589, 0.4746251441753172, 0.48149027052681537, 0.4735358669284972, 0.47087576374745416, 0.4773696519466226, 0.4753747323340471, 0.4718635421648334, 0.4765571526351814, 0.48046046652529534, 0.4877825290164936, 0.4730011367942402, 0.4755410613697006, 0.4725676664228237, 0.48341836734693877, 0.4724761324395694, 0.4666021297192643, 0.46949786789661474, 0.47555390518628543, 0.4693349753694581, 0.47474502185526957, 0.475863197512682, 0.47129423410047017, 0.47058823529411764, 0.4715909090909091, 0.47237252861602497, 0.4703294945617402, 0.4725305738476011, 0.46889916880148913, 0.47437137330754353, 0.4723147910792105, 0.47143859649122805, 0.47649918962722854, 0.4742811501597444, 0.4726897744661034, 0.47302625683304955, 0.47170523138833, 0.477325312355391, 0.47914735866543096, 0.47049580059604446, 0.4715852442671984, 0.47333637192342753, 0.47447677386421644, 0.46555987283645356, 0.4705084745762712, 0.4702980265807491, 0.4619434086422461, 0.4711430496294633, 0.47793521003682665, 0.46915584415584416, 0.47227300426569163, 0.4730134101739998, 0.4841328413284133, 0.47088693297224105, 0.47099611026551663, 0.466305714009475, 0.47463496817671286, 0.47998314369995787, 0.4752732951587715, 0.4703982777179763, 0.4718187100522952, 0.4714038128249567, 0.4709874448591788, 0.4670858714875221, 0.46799773435287456, 0.4815538194444444, 0.4674386381631037, 0.4705408669977184, 0.46882325363338023, 0.4713792252652356, 0.46650602409638553, 0.473448614177091, 0.46865229554056276, 0.46664663461538464, 0.4763768521107073, 0.46833883881081684, 0.466484268125855, 0.4665787159190853, 0.46632255269997114, 0.4755658436213992, 0.47202734304731064, 0.4653826132222801, 0.4656654021831695, 0.4672222222222222, 0.4665411034788389, 0.4671165381319623, 0.47042801556420233, 0.47160800732696584, 0.4838610513372272, 0.4722965528096962, 0.4677251129910766, 0.4664376958303206, 0.47042075292628915, 0.4727051460361613, 0.4741924359121738, 0.46795547744581134, 0.46514990108050525, 0.4673703066277967, 0.4631840208013237, 0.47831398900427613, 0.47116349047141426, 0.4697082096933729, 0.4698983580922596, 0.46960065199674, 0.4662141314409133, 0.4699278267842823, 0.4725490196078431, 0.47661785545583374, 0.4648059904697073, 0.46373962429008303, 0.47011588648599323, 0.47466910086718395, 0.46335454732087866, 0.4687116564417178, 0.4830928279129873, 0.47234886025768086, 0.46230382603343934, 0.4670311464546057, 0.4688955528616091, 0.4652071931196247, 0.47062888735314445, 0.46611423498076354, 0.46029143897996355, 0.46923671711035014, 0.46510629160403694, 0.4652701212789416, 0.4627161145572126, 0.4639750167298684, 0.4658554755401043, 0.4714203785127127, 0.4700010507512872, 0.46756990487172095, 0.4621581513673945, 0.47, 0.4635705155517682, 0.46343893205817893, 0.469633636587165, 0.4680914217868804, 0.46288648286639134, 0.46984346224677714, 0.46606888119013656, 0.47730263157894737, 0.47094068304373876, 0.4632735685367264, 0.47198480531813863, 0.4678376453833373, 0.4716202270381837, 0.4649513776337115, 0.46757257566399013, 0.4649744753261486, 0.47401055408970977, 0.47104689829148033, 0.46214835709384766, 0.4651975778762719, 0.4660532205918926, 0.4626671399834339, 0.4679866289534585, 0.4621706550640561, 0.4648461633510441, 0.4630462354433299, 0.45940347970173984, 0.4711758584807492, 0.4604261796042618, 0.4614604462474645, 0.4629222884635498, 0.4639159561510353, 0.4588537211291702, 0.4628017589518083, 0.459224985540775, 0.46038195855343356, 0.4674691603660963, 0.4639302951351813, 0.4652052376048257, 0.4624175824175824, 0.4612945346017534, 0.4632437070938215, 0.4631924882629108, 0.4676982154958211, 0.46464646464646464, 0.4700926705981466, 0.4582539077392299, 0.4601821072409308, 0.4633175355450237, 0.4625938629832205, 0.47043628013777267, 0.4612098822442854, 0.46765899864682003, 0.46174916846018393, 0.4602873563218391, 0.4551040634291378, 0.46869226031615685, 0.45787817070912795, 0.4565584537436667, 0.4660343144092621, 0.4592, 0.4751472320376914, 0.46855509355509356, 0.46185313970137043, 0.4651363479461512, 0.4592020592020592, 0.45884543761638735, 0.459018678561472, 0.46122567528318326, 0.46311958034471684, 0.4599525178058228, 0.4582642343836374, 0.4617205998421468, 0.4589389871308212, 0.46130721489526766, 0.45811557413767356, 0.45793341152253525, 0.4605006954102921, 0.45939881014507883, 0.4578625235404896, 0.45986177565124936, 0.4683257918552036, 0.4577537351880474, 0.4631233203941475, 0.46755045508508114, 0.4585944115156647, 0.4601865914515079, 0.46462814200570096, 0.4627648416194672, 0.47069679510262874, 0.4580676212248827, 0.4580276403344139, 0.4606786427145709, 0.47699386503067487, 0.4553966189856957, 0.4635256854399683, 0.45772667624820346, 0.46371669101788077, 0.4689532820816085, 0.4513395923975269, 0.4544165757906216, 0.4558583740973678, 0.45998330152671757, 0.45439551377206006, 0.4649376992176181, 0.45942639662906076, 0.45551463461911224, 0.46210845402492423, 0.455650522317189, 0.46140744754974067, 0.46085277919718387, 0.4574468085106383, 0.4558220964016986, 0.4614237793514722, 0.45444366689993004, 0.46542252044453764, 0.45222139488706875, 0.4588546434747228, 0.45620789220404234, 0.45686564016030373, 0.45914217045664635, 0.4595300261096606, 0.4597285067873303, 0.45163043478260867, 0.45630202140309156, 0.4528725314183124, 0.4533208955223881, 0.45166061583972034, 0.46279271465741545, 0.4588323353293413, 0.45615514333895446, 0.45606283750613646, 0.46370891126733804, 0.4614514608859566, 0.4575371549893843, 0.4603174603174603, 0.45339652448657186, 0.4584917617237009, 0.4522023466051164, 0.4538435716683451, 0.45277977597369234, 0.4541832669322709, 0.4565559440559441, 0.4612141652613828, 0.452280912364946, 0.45569877194763014, 0.4556108796531518, 0.4554044380816034, 0.4643611404435058, 0.4527775934160749, 0.4585013797495224, 0.45164556962025315, 0.45310015898251194, 0.4655635987590486, 0.45545378850957535, 0.45634397256660514, 0.4518192078250121, 0.4565773273984279, 0.4591756777934493, 0.4544352884149297, 0.4483971853010164, 0.459640221402214, 0.45563084866085835, 0.4572467204046151, 0.45052316890881916, 0.45615823817292006, 0.4530950016550811, 0.4607013301088271, 0.4498237497246089, 0.45556221290193727, 0.4613548742427024, 0.4523136700812434, 0.45254914004914004, 0.45496950125583063, 0.46605460256100506, 0.4578696343402226, 0.4524391094982204, 0.45900265400195556, 0.44931597164990933, 0.44978311644978314, 0.4523809523809524, 0.45199923959191435, 0.4583180315828131, 0.4545126353790614, 0.4517133956386293, 0.45526393871550724, 0.45429666119321294, 0.45252225519287836, 0.4541989748981469, 0.456859292460381, 0.4559278350515464, 0.456398869600323, 0.44836272040302266, 0.45636274987810826, 0.45955818403200555, 0.45636064223960476, 0.4559967253376995, 0.4493960849645981, 0.45041816009557945, 0.4471727068823043, 0.448890505638414, 0.4544885438838112, 0.466123584343334, 0.45453121328424845, 0.46030289123451124, 0.4585365853658537, 0.4653787714347732, 0.4545000831808351, 0.4502923976608187, 0.44776119402985076, 0.4553246753246753, 0.45710291804997377, 0.45232766338406444, 0.4522762728690966, 0.4470171047142261, 0.44940079893475365, 0.4536049143226641, 0.4502352515381831, 0.4541701073492981, 0.4533370257546386, 0.4467654133434612, 0.45185185185185184, 0.45627511226660367, 0.4576271186440678, 0.45251914052852554, 0.45299230692376863, 0.4498656952570188, 0.4521806743479183, 0.4512548962715799, 0.4566396794925298, 0.45914005531807894, 0.45398936170212767, 0.46495396495396496, 0.45142653986312326, 0.45120358275797723, 0.45305920237800346, 0.4521082769390942, 0.45771719038817005, 0.44761904761904764, 0.44596711041503523, 0.44402634054562556, 0.4493006993006993, 0.447530377150071, 0.4450770261219022, 0.4583775185577943, 0.45038499078191085, 0.4458458142834621, 0.44604457187540725, 0.4489481220398722, 0.44792228818132757, 0.4436769394261424, 0.4433232425159771, 0.4457663782447466, 0.4469588806396345, 0.44847112117780297, 0.45120025268477576, 0.44680851063829785, 0.4512691067171505, 0.44410936871733014, 0.44877689902519774, 0.44576646375207524, 0.44967682363804246, 0.44775695627484385, 0.44590703414232824, 0.4445317616240995, 0.44680563075257174, 0.4426983518589498, 0.45053068195681345, 0.44609722435209326, 0.4455435942197653, 0.4522760646108664, 0.4471142236174837, 0.4476244329353707, 0.44994353611233856, 0.4502680166765932, 0.4459327812956649, 0.4518321119253831, 0.4452409398645958, 0.4468124536693847, 0.4458214172227518, 0.44950873362445415, 0.44382219110955545, 0.4418974126191557, 0.4531206269241534, 0.4473626614138761, 0.45220313666915607, 0.4467511458614182, 0.45385467785341144, 0.4421478319478769, 0.4478890475219254, 0.44742268041237115, 0.44759896171317326, 0.4516843454948129, 0.4450596107469176, 0.44302889918376354, 0.44908722109533467, 0.4514898688915375, 0.46290873596876525, 0.45013428827215757, 0.45386435331230285, 0.4447927551375827, 0.44432922877511344, 0.44418896321070234, 0.4472712351251539, 0.4421841541755889, 0.4444218654744971, 0.44428772919605075, 0.4452836522322927, 0.43811783313562674, 0.4518329070758738, 0.4495246234376669, 0.4507625272331155, 0.4505804311774461, 0.4523050159466512, 0.45602850178136134, 0.4461124803943536, 0.438322620140802, 0.45549193128578863, 0.4487947182557961, 0.43804034582132567, 0.4453647340584772, 0.4478139081719644, 0.4549928234570433, 0.43753213367609256, 0.44415584415584414, 0.46, 0.4425825921219822, 0.4425923767338851, 0.4434102755026061, 0.4446057087566522, 0.4379157427937916, 0.44558071585098613, 0.44313890054553084, 0.442670738478623, 0.4419452887537994, 0.4446774864752393, 0.4416, 0.4509512485136742, 0.4443065466956252, 0.4469195751138088, 0.4460345855694693, 0.4444537183874468, 0.44214444595760133, 0.43983092988562905, 0.44812989638615114, 0.4363093871930227, 0.44422494402739365, 0.44242902208201895, 0.4415014909664971, 0.43919121617567647, 0.4377632194665419, 0.44250461641765987, 0.4407794015309673, 0.44594020121864814, 0.44280784445753724, 0.4409680438561305, 0.4419535628502802, 0.4526135808500244, 0.4381231671554252, 0.44280915053591424, 0.44488935721812434, 0.4443666899930021, 0.44402634054562556, 0.4422444827046486, 0.43646408839779005, 0.4419401370357014, 0.4416289592760181, 0.43779580797836376, 0.4445855827246745, 0.4385773985721748, 0.4394884092725819, 0.4390616059507915, 0.4480294499783456, 0.4471056194989844, 0.43618766404199477, 0.437849257189587, 0.4375650364203954, 0.44309717651134595, 0.44283646888567296, 0.4375078983950461, 0.4454953663896054, 0.442198233562316, 0.4388888888888889, 0.4356335980315401, 0.4412824655150988, 0.43905654849106357, 0.4384651380439869, 0.44072785656944075, 0.44369521240728255, 0.43351708930540245, 0.4335909200676165, 0.4396348012889366, 0.4385639642676555, 0.4364705882352941, 0.44308995252149364, 0.44109772423025434, 0.4365885176296843, 0.43100189035916825, 0.43479594967781526, 0.44004671684401764, 0.44347154262168426, 0.43675417661097854, 0.4365497076023392, 0.43312489143651206, 0.4400630914826498, 0.43600124571784493, 0.43745203376822717, 0.43927875243664716, 0.44644723092998956, 0.435466240645758, 0.4326309684902378, 0.4336476928258673, 0.4394835591172168, 0.436687842910771, 0.4430544696377378, 0.4428229143977347, 0.4415983606557377, 0.4366494603472548, 0.43553308739809626, 0.4400250548073912, 0.4430543572044866, 0.4377619828685985, 0.43637690413208063, 0.4370395177494977, 0.4346886662738165, 0.43439340400471144, 0.4339665991757492, 0.4386687253388231, 0.43386335837847284, 0.43786745056119725, 0.4325507806881562, 0.4378698224852071, 0.4365275244124906, 0.43634479184660563, 0.43174279152845113, 0.4293015332197615, 0.4342484777267386, 0.4368605713948757, 0.44277515192437544, 0.43594086849399444, 0.43722257450856056, 0.4450281425891182, 0.4389882954392574, 0.4323640333465661, 0.4279379157427938, 0.433578774417331, 0.4349753282595969, 0.4289292423293676, 0.42839352428393523, 0.43223764490543015, 0.43233368853706805, 0.43790518638573744, 0.4426779463243874, 0.43354058141488827, 0.43467260398745067, 0.43079488604780436, 0.4300927052082489, 0.43518639633747547, 0.4317155756207675, 0.4398078120829255, 0.4317859314818569, 0.42659993933879287, 0.4386422976501306, 0.43858776727996024, 0.4307565789473684, 0.43111186383267, 0.43325938958158033, 0.43029238298406325, 0.43107835977782205, 0.4364805881001608, 0.4266548984995587, 0.43340691685062543, 0.4305702217529039, 0.4327275446862613, 0.4273572377158035, 0.4342566421707179, 0.4249357926686902, 0.4325627806419425, 0.4298976109215017, 0.42977428712941346, 0.4313170441001192, 0.4371957701561014, 0.43468699604163613, 0.43205362583790374, 0.43557894736842107, 0.4267071593950146, 0.4296348812477845, 0.42682136375421315, 0.4242288779615557, 0.42666920296747196, 0.42934362934362935, 0.4272793429670444, 0.42853492333901194, 0.42986508963223063, 0.43493595693335807, 0.4231699274565839, 0.42758512474501803, 0.42945519856316106, 0.4261805140466228, 0.42037411526794743, 0.43628391340093176, 0.4319425444596443, 0.428593532415287, 0.4257647797613708, 0.428239973483593, 0.4325330355481109, 0.4323996971990916, 0.42212825933756165, 0.4232426184722076, 0.42390774727951924, 0.4312945119396732, 0.4336924989639453, 0.4263041880969875, 0.4324853228962818, 0.42692822113241197, 0.4284335022930244, 0.4289667896678967, 0.4248295933215899, 0.4216108369211383, 0.43251753256046943, 0.4244314751459046, 0.43363242574257427, 0.42614574325917776, 0.4275751369900924, 0.42515811665495434, 0.4301144400154301, 0.4263341067285383, 0.42426516572858036, 0.42528939286558, 0.4297409943435546, 0.4317001263512565, 0.4242174629324547, 0.4202936780093203, 0.42421530396982676, 0.4318766066838046, 0.4304683038263849, 0.4229665071770335, 0.42767767767767767, 0.42598870056497173, 0.42562527424308905, 0.42453082214653043, 0.42329726288987907, 0.4209165687426557, 0.41960507757404797, 0.4252774352651048, 0.42693809258226434, 0.4231292517006803, 0.42365998917162967, 0.4319984888553079, 0.4206805125939019, 0.42409706546275394, 0.43071593533487296, 0.423211024406442, 0.41850083056478404, 0.42695967821053665, 0.41484494153533297, 0.42436999703528017, 0.42679086853844134, 0.4190299803217965, 0.42604260426042606, 0.42142748901348687, 0.419092142964862, 0.4247746706725214, 0.422888496962571, 0.42039566650965615, 0.4235269965099569, 0.42111823361823364, 0.4227791628395224, 0.4262788365095286, 0.4234362066926806, 0.4227690134212385, 0.42455595792378, 0.42197280379883445, 0.42093388938264853, 0.42388543636854903, 0.41855415741426105, 0.4247138244790138, 0.4353808353808354, 0.4155737704918033, 0.42105263157894735, 0.41803624104509063, 0.41757366604725243, 0.41562269712601324, 0.42466879853814526, 0.4270571325907294, 0.41592328278322926, 0.41960991038481815, 0.4153447717707996, 0.4292063492063492, 0.41714419366156, 0.42125152828720686, 0.41729559748427675, 0.42397769516728623, 0.42366907809311816, 0.42080457835381246, 0.4198911729141475, 0.42126191012078923, 0.4183875530410184, 0.4249121044701155, 0.41620019756338494, 0.43256653134866935, 0.422680412371134, 0.4161627267729522, 0.41956288068792547, 0.4315627066343399, 0.4145850120870266, 0.41456441305079045, 0.42514430014430016, 0.4126928471248247, 0.41541850220264315, 0.41174183514774493, 0.4219034885134314, 0.4229812259669758, 0.41662785281788545, 0.4184065934065934, 0.42089351696338595, 0.42878066642255586, 0.41830065359477125, 0.4163808590560183, 0.42332474226804123, 0.4233772884393804, 0.41482186094776896, 0.4179014212276988, 0.41427877610490527, 0.4218912365777624, 0.4224026573168481, 0.4128071833648393, 0.4132669983416252, 0.4142772686964233, 0.4158054398683737, 0.42233417296389586, 0.4123793677204659, 0.4170151174010936, 0.4174024494446027, 0.41095317725752506, 0.4243529616119507, 0.4142972103004292, 0.41626353374798436, 0.41753567508232714, 0.414151094074429, 0.41199149162456794, 0.41207982574910224, 0.4134499396863691, 0.41530952055106973, 0.4229516411926835, 0.4094258130081301, 0.41500378883556455, 0.4126308104161597, 0.41280148423005564, 0.4165575440128037, 0.40614754098360656, 0.4128948826898208, 0.413677130044843, 0.4140930839495433, 0.41000962463907603, 0.4120786945249352, 0.41132217415836, 0.4139194139194139, 0.41789489355366977, 0.4114110574089355, 0.4106909196646366, 0.4105496871425688, 0.4145181092694905, 0.411250766400981, 0.4084381411114084, 0.40631524008350733, 0.4118410080607801, 0.40893115567500515, 0.4177704194260486, 0.41227526348419097, 0.41515451446167384, 0.41043505186561385, 0.42106908408877775, 0.41266912669126693, 0.41012540640966094, 0.4108550039401103, 0.40937342516378294, 0.4166126943005181, 0.40960487866853007, 0.4069116360454943, 0.4117437722419929, 0.40989799773328295, 0.4117064894669871, 0.4050432452186624, 0.405683192261185, 0.40919608424799764, 0.41599811231713074, 0.4084932097434792, 0.40769644779332614, 0.4105901230165805, 0.41473029045643156, 0.4159607668301382, 0.41480383211678834, 0.4068245817459003, 0.4066579634464752, 0.4075349402471136, 0.4075440685641447, 0.4109449354180829, 0.4139475908706678, 0.4074729392173189, 0.40548446069469835, 0.40542364562243083, 0.40466628418435646, 0.40717096633143857, 0.40102707749766575, 0.40708268867113634, 0.4069969578444155, 0.4063093712720364, 0.4040139616055846, 0.4064516129032258, 0.4045395776468898, 0.4092079845460399, 0.4057174783499395, 0.4078666925014532, 0.4005102040816326, 0.4087966488956588, 0.4011299435028249, 0.40029688273132114, 0.3990889535619385, 0.4010642767119451, 0.40019987280821295, 0.4052161736390688, 0.4053765083244234, 0.4110015568240789, 0.40116179736887064, 0.40869054609512623, 0.3979015334947538, 0.4046912914532219, 0.40859938208032953, 0.4050672505473882, 0.4132985658409387, 0.40243084660519696, 0.40191605839416056, 0.40059319677449257, 0.4021647849211533, 0.40621143562320033, 0.39891718961486405, 0.4037987173162309, 0.40290065264684555, 0.398419339841934, 0.4187513595823363, 0.39864581879100935, 0.39909039226833426, 0.4007125571390159, 0.40705128205128205, 0.3987878787878788, 0.4020581548402537, 0.40132792327554406, 0.4084412684234033, 0.40194846008799495, 0.39730580825752276, 0.39762015144490803, 0.4029943855271366, 0.39778745439566904, 0.39545318576129224, 0.3966174005790035, 0.40140745953553836, 0.39559691330004537, 0.3994873672647382, 0.4014192558496356, 0.39776536312849164, 0.3970029076269291, 0.3989113530326594, 0.4101593625498008, 0.4046220633299285, 0.3959877331970355, 0.3982434887946699, 0.3953710331663088, 0.39993074792243766, 0.39412421613263465, 0.4015304067660089, 0.3989191353082466, 0.3993823146944083, 0.3980299160890186, 0.39800850383399355, 0.3986415882967607, 0.39542882503051147, 0.4010347376201035, 0.39425287356321836, 0.3991848749009397, 0.40028648734680883, 0.3941544179760095, 0.39655636265805755, 0.3925005094762584, 0.3952040275569687, 0.403544776119403, 0.40295275590551183, 0.3932122497679968, 0.39336075205640425, 0.396067990989146, 0.393115417992479, 0.39280523255813954, 0.3954102355808286, 0.394464105156724, 0.3939563514269726, 0.3971543458088463, 0.3988399863527806, 0.39557078184265265, 0.3999373629815221, 0.3953304313415117, 0.3905436367423453, 0.3897590361445783, 0.39062925633342416, 0.3972363405336722, 0.40174753671686186, 0.3920358945597308, 0.39329786029661495, 0.3951898734177215, 0.3925851415433252, 0.39574090505767523, 0.40559322033898304, 0.3858252427184466, 0.39637627202779846, 0.3901799100449775, 0.38880302249699467, 0.39077282874455194, 0.3882203926535782, 0.3974246414983904, 0.39205397301349326, 0.38671827748881094, 0.39757956073509637, 0.38822922044398556, 0.3896513231334953, 0.39011784163737856, 0.3908236594803759, 0.39191413709093303, 0.3911086100168824, 0.38971807628524047, 0.39461134954697186, 0.3883051621745089, 0.3890242045973512, 0.39163125204315136, 0.39705440336639614, 0.39283240197663144, 0.3880597014925373, 0.39117132867132864, 0.39221734488076876, 0.39145299145299145, 0.390849166343544, 0.3933229003651539, 0.38774823291820937, 0.3846230158730159, 0.4019103600293902, 0.38691516210444576, 0.38511963290724355, 0.38995859213250517, 0.37983967252259937, 0.38663030903982815, 0.39012838090489843, 0.3876847290640394, 0.38342830009496676, 0.3891104083596865, 0.3898989898989899, 0.3822471011595362, 0.39332980412916885, 0.38908347927612374, 0.38352084712111184, 0.38425465397186304, 0.39228418640183343, 0.3876996262317363, 0.3861304883052934, 0.3801568360040914, 0.3880107366537429, 0.38034598750600673, 0.39200913242009133, 0.38671539122957865, 0.38928978351690086, 0.3831856869897516, 0.3860662701784197, 0.38232468780019213, 0.3904255319148936, 0.3782794931286811, 0.38809966530308665, 0.3848722415795586, 0.3873397796267146, 0.3829211746522411, 0.38223938223938225, 0.3818004391314955, 0.3805097451274363, 0.3890878090366581, 0.37832225913621265, 0.3822923816060398, 0.3816775441140923, 0.38141852807688886, 0.3794355504208615, 0.38458070333633904, 0.3824034334763948, 0.3885928557331754, 0.3826619071902091, 0.3896344285053216, 0.38338073953677365, 0.3827859569648924, 0.3849783720015729, 0.3817610596926212, 0.38177287668327853, 0.38264622711713053, 0.3782228851480929, 0.38402457757296465, 0.38449111470113084, 0.39784172661870504, 0.3779973490782022, 0.38162130523851334, 0.3804, 0.3761337868480726, 0.3833965330444204, 0.3859712230215827, 0.3838120104438642, 0.377843564973512, 0.3783765301237776, 0.38282160901671203, 0.37726251035135455, 0.37578814627994955, 0.3806228373702422, 0.3820113314447592, 0.3806731029504647, 0.37450399949612645, 0.37754789272030653, 0.3763423364790107, 0.3856157112526539, 0.3801498127340824, 0.3779002986446129, 0.37934868943606037, 0.3788688801350591, 0.3842552453615398, 0.37378040401264256, 0.3751263902932255, 0.3782223932281647, 0.37925915930099185, 0.37785062713797035, 0.3702025586353945, 0.3755038065382893, 0.3736109814174993, 0.3808743169398907, 0.37250841315040123, 0.3698, 0.37559498052791, 0.3720842264531585, 0.3777955271565495, 0.379304552326558, 0.3779176904176904, 0.37517305029995385, 0.38028169014084506, 0.38858725761772855, 0.37570276216084086, 0.3711931207452526, 0.37534610698859233, 0.3803998322382217, 0.37092559482877185, 0.37484700122399023, 0.3767325607816405, 0.37220889463000556, 0.37579386681183086, 0.3689655172413793, 0.36838880947518887, 0.3791563275434243, 0.374512929507616, 0.37691118364542175, 0.3711923411662315, 0.3726572261557684, 0.37036209208761733, 0.37189716312056736, 0.3752129471890971, 0.37419631375910845, 0.37206703910614525, 0.37198748043818464, 0.3791304347826087, 0.36575398447078056, 0.3683606745439945, 0.3765532144786602, 0.37167070217917675, 0.3730366492146597, 0.3728161564353262, 0.3714072415080254, 0.37423312883435583, 0.36691542288557216, 0.3705170752596082, 0.3761774174317396, 0.37035077109162384, 0.36831260016790046, 0.38638392857142856, 0.368196371398079, 0.36956390614632967, 0.3663869819476227, 0.3637162486020131, 0.3664185968726482, 0.3639298245614035, 0.36565315315315317, 0.3611761263897016, 0.3640179910044978, 0.3642625339426452, 0.36112156567557396, 0.3630602082390222, 0.3625579030618009, 0.36105476673427994, 0.36395109812831333, 0.3620891560621438, 0.363059297104815, 0.36920996280852025, 0.36337625178826893, 0.3619986403806934, 0.3612419326705041, 0.36351601800370664, 0.35997764114030184, 0.3602800763844685, 0.367698868904135, 0.36730629978276613, 0.3684536721413077, 0.361340206185567, 0.35868187579214195, 0.35933909618120147, 0.3674061433447099, 0.35510422234099415, 0.36016738069144166, 0.35638133974240466, 0.3558436880965244, 0.3539553752535497, 0.3605983217803721, 0.3595175051485731, 0.35738005267376616, 0.36294951388075436, 0.37105263157894736, 0.35983955878666335, 0.360062893081761, 0.3624578227668265, 0.36329752247314184, 0.3609530112508273, 0.3722118959107807, 0.35809489959125645, 0.3644983461962514, 0.3583804143126177, 0.36259107468123863, 0.35869504183278117, 0.3611251900658895, 0.3561786762308445, 0.3728395061728395, 0.3560078557400464, 0.353810082063306, 0.35689119170984457, 0.3551653219427306, 0.3614794138171668, 0.3547947074069022, 0.35861013986013984, 0.3599514563106796, 0.3557124097176625, 0.3611898016997167, 0.3561663343776702, 0.3528209785446702, 0.361840722840933, 0.35819250551065396, 0.35566838688197105, 0.3505545036516094, 0.35017221584385766, 0.359472049689441, 0.35561287945091896, 0.35771409530156617, 0.3553868402024584, 0.3533394327538884, 0.35231509728154026, 0.351661514683153, 0.3555515630614445, 0.35896850753080783, 0.3518853305785124, 0.3512555846556771, 0.3509280742459397, 0.3488372093023256, 0.34617107030900135, 0.34930139720558884, 0.3504059962523423, 0.34555300978962716, 0.34545454545454546, 0.3455200823892894, 0.3528857479387515, 0.3502208600018029, 0.35143066764490094, 0.3459664320519762, 0.3461928934010152, 0.34790419161676644, 0.34674844563938834, 0.3476044852191641, 0.34760522496371554, 0.3507853403141361, 0.3456521739130435, 0.3422798552472859, 0.34575368981369464, 0.34631246317819075, 0.3455045523520486, 0.3452566096423017, 0.3442312655940807, 0.34893617021276596, 0.3450793650793651, 0.34547843746266876, 0.3477939819088056, 0.3419259259259259, 0.34162887157421407, 0.34155844155844156, 0.3432268665913526, 0.34650355430649693, 0.3406517747858017, 0.3372093023255814, 0.3464320625610948, 0.34283493132935994, 0.3427059712773998, 0.343748525038939, 0.34151472650771386, 0.3497081019507333, 0.34601267934601265, 0.34430204364392103, 0.34775888717156106, 0.34655344655344655, 0.3447137961670263, 0.33848157796799405, 0.33842838866069624, 0.34038818913896346, 0.33773141751865154, 0.3382515168229454, 0.34094447327452, 0.33667127071823205, 0.3425809691187547, 0.33883804218066055, 0.3387719298245614, 0.3490628082867478, 0.33559173860780245, 0.3419753086419753, 0.33630952380952384, 0.34541984732824427, 0.3369275656475961, 0.33929201458308833, 0.33475336322869953, 0.33921074727120065, 0.339076836870491, 0.3407051282051282, 0.3313364055299539, 0.33387053451517595, 0.33363289148505954, 0.34443168771526983, 0.34137744034707157, 0.3386879569065025, 0.33266832917705735, 0.333706934359924, 0.3375344053310155, 0.3370293554562859, 0.3398576512455516, 0.33066860465116277, 0.33396417708685366, 0.33425434993652453, 0.3329986193046316, 0.3370250730656822, 0.33347526185812826, 0.3328050713153724, 0.3306261461881058, 0.3320545609548167, 0.33921982076963625, 0.3394299287410926, 0.33227503628447025, 0.3321811897398581, 0.33239078184645837, 0.33541199551569506, 0.3267094017094017, 0.326091727013386, 0.3293492695883134, 0.3276165755075554, 0.3331610235202895, 0.32718756969742024, 0.33322549336784213, 0.32832263978001835, 0.3271417740712661, 0.32427445059553767, 0.3252880787764509, 0.3246311010215664, 0.32430743595084355, 0.3288135593220339, 0.32748138014895883, 0.3252265996589787, 0.34092674087496766, 0.3284468136661013, 0.3280054644808743, 0.3253358925143954, 0.3255734001276951, 0.32132352941176473, 0.3291635077078595, 0.31810215322984475, 0.3202301771168074, 0.3202402207433858, 0.3167183400906272, 0.32299270072992703, 0.3185210312075984, 0.31910782311047314, 0.3207004077716479, 0.3172737955346651, 0.32808219178082193, 0.3151626970815163, 0.3204050439434467, 0.31328878990348924, 0.31588327021608376, 0.314828897338403, 0.314768633970629, 0.3192673313239045, 0.3323232323232323, 0.31682146542827655, 0.30914783555676556, 0.3146251536255633, 0.3160123798664278, 0.32083333333333336, 0.3107171110800875, 0.3188184717792262, 0.30973451327433627, 0.3105548879035266, 0.3272653721682848, 0.31049250535331907, 0.30950378469301937, 0.3177432542927228, 0.31162859685553246, 0.31144742831133365, 0.3139883742733921, 0.31206543967280165, 0.30935808197989173, 0.3179772306063013, 0.3091201583962381, 0.3094867807153966, 0.3094620502988609, 0.30918780223033654, 0.3111353711790393, 0.3107516009437142, 0.31033500996488567, 0.30912659470068693, 0.3059501582920692, 0.3053733602421796, 0.30825420014609206, 0.30635889272132305, 0.30674709562109026, 0.3065662308129619, 0.3132625574393915, 0.30677642216669115, 0.30300807043286865, 0.3031843468252446, 0.3050728453572055, 0.3107424071991001, 0.31327187336928164, 0.3160313598269803, 0.30544747081712065, 0.30179754020813626, 0.3085863377609108, 0.30362529479515166, 0.3029896278218426, 0.30148674854557206, 0.30173735309146654, 0.29849690539345713, 0.2978215458072217, 0.29635663507109006, 0.3049203049203049, 0.3015636634400596, 0.29546362546762067, 0.29580903295809036, 0.293534686172723, 0.2947553869087952, 0.29917435648373, 0.29983525535420097, 0.29378810347668477, 0.2896003582223217, 0.28900917863026593, 0.2940749948207997, 0.2872668724003757, 0.28586171310629516, 0.2851139691837514, 0.2846525455221107, 0.2843710709014377, 0.2874493927125506, 0.2816691505216095, 0.2844341188184534, 0.29129606099110544, 0.2840909090909091, 0.2788740568775392, 0.28719976567076744, 0.2795289227571874, 0.2758309248554913, 0.2802823114247905, 0.2733404875057489, 0.27745803357314147, 0.2737763124524474, 0.2739749826268242, 0.2764987639060569, 0.26888604353393086, 0.276038806516566, 0.2674536616633727, 0.26748208549542873, 0.27002967359050445, 0.27299752270850536, 0.2668433391091632, 0.26918131161594516, 0.2686181661644425, 0.2652853950842982, 0.25449101796407186, 0.25693000693000695, 0.24771327235392943, 0.25757872090749073, 0.2421144859813084, 0.23391812865497075, 0.2362958359229335, 0.23527096181603463, 0.23487654320987655, 0.2310891089108911, 0.2271839240859615, 0.2132613314447592 ], "yaxis": "y", "ybingroup": "y" }, { "alignmentgroup": "True", "bingroup": "x", "hovertemplate": "Liczba ludności=%{x}
count=%{y}", "legendgroup": "", "marker": { "color": "#0d0887" }, "name": "", "offsetgroup": "", "opacity": 0.5, "showlegend": false, "type": "histogram", "x": [ 3801, 19081, 3617, 21971, 18361, 24621, 86217, 9575, 29767, 23716, 18512, 5499, 27705, 32015, 22559, 1290, 28908, 62623, 21610, 2385, 10464, 15125, 10560, 52206, 35286, 53529, 26812, 27780, 22154, 23690, 3852, 12122, 14353, 19326, 15347, 29328, 10909, 30188, 19605, 10534, 19943, 20096, 43332, 16478, 26151, 19951, 20741, 13162, 14841, 12268, 31474, 3939, 18229, 8877, 6739, 17486, 12673, 28691, 15930, 31578, 10165, 13564, 18764, 10553, 13786, 33767, 15199, 3541, 16942, 32874, 25061, 27065, 13961, 27896, 4931, 35144, 30909, 3306, 24142, 55673, 5030, 11139, 41003, 31039, 14423, 8641, 71674, 47655, 3411, 37569, 8840, 18165, 27044, 44317, 11363, 40916, 9086, 8461, 5534, 4328, 15363, 12058, 12252, 3468, 4487, 56008, 15293, 9044, 46198, 16777, 23206, 12387, 21145, 38546, 67570, 27715, 26032, 15999, 11950, 17638, 12505, 49948, 4318, 13479, 19012, 16419, 46321, 18629, 11531, 2396, 66270, 7623, 9357, 5087, 28701, 11406, 43751, 34185, 41390, 9343, 18335, 89780, 11594, 48206, 6228, 33206, 38101, 36979, 22984, 9215, 6685, 72539, 7617, 16903, 15633, 25607, 14909, 40948, 61756, 33087, 5806, 48703, 6398, 72527, 12837, 49536, 32184, 43883, 30299, 13574, 20145, 54702, 37801, 7661, 63945, 2480, 3103, 8129, 26441, 19205, 20287, 11542, 47425, 5514, 4666, 16053, 59430, 22997, 4907, 6356, 35891, 21529, 4881, 16020, 25882, 15489, 2853, 13091, 3487, 62854, 4521, 78335, 25265, 56222, 45490, 5054, 31137, 10624, 7946, 46965, 9269, 12352, 45801, 10144, 24657, 7443, 33981, 6893, 61233, 27194, 9231, 19494, 13400, 16809, 13330, 71560, 10955, 36816, 21924, 5609, 4656, 17589, 6935, 72250, 24375, 6948, 74559, 10709, 3480, 21103, 11701, 4348, 66120, 17055, 16438, 15761, 6239, 10964, 93564, 9678, 30517, 67579, 3887, 30733, 9192, 31626, 3201, 4809, 12490, 4409, 10236, 32104, 10728, 5672, 18585, 9018, 5986, 24442, 20723, 3318, 7728, 3602, 24949, 29837, 15887, 9233, 22813, 14189, 18309, 5278, 8600, 28964, 5540, 8949, 37052, 16357, 15273, 4168, 5094, 12831, 5203, 22130, 9971, 14675, 10041, 8020, 20389, 4360, 6735, 4003, 5159, 13382, 13512, 16443, 12155, 2320, 29596, 23296, 38191, 29554, 4762, 12412, 6586, 4557, 10287, 4244, 25149, 5152, 24109, 4390, 26540, 5105, 9976, 11204, 9318, 14682, 45353, 3622, 6783, 23778, 5296, 3501, 8769, 7377, 9084, 23293, 14362, 5470, 39827, 9226, 17704, 16974, 10822, 33633, 52823, 1630, 12138, 15371, 2579, 42211, 6363, 6863, 14307, 13782, 20213, 14184, 22136, 5170, 7883, 20379, 39647, 44260, 1771, 20095, 71710, 12681, 10759, 5733, 3995, 99106, 3116, 12274, 26707, 90368, 3212, 11496, 14283, 6663, 12643, 10036, 12961, 6462, 18355, 3022, 9927, 31552, 6452, 3622, 15581, 22026, 5056, 29638, 6377, 32685, 9558, 11948, 61338, 3180, 3737, 6802, 21247, 4867, 17548, 51726, 7529, 56573, 9908, 6528, 6777, 16204, 36139, 13191, 22614, 10302, 17794, 5352, 4192, 18814, 31129, 4179, 9697, 4971, 2977, 19375, 4873, 39550, 5238, 49099, 17788, 29810, 14217, 6034, 9175, 9179, 4691, 6871, 7538, 17495, 26788, 4533, 34857, 3341, 4902, 4301, 4836, 15851, 18372, 7431, 42364, 6621, 33851, 11958, 6179, 4882, 3407, 12077, 5562, 26421, 12915, 4833, 5845, 10280, 24050, 12357, 32714, 8494, 9381, 15338, 10374, 10592, 9575, 4328, 8235, 41117, 32005, 14315, 9017, 6365, 3024, 6989, 5750, 8710, 11695, 10309, 6072, 47638, 3568, 3560, 8271, 23647, 14720, 23923, 8273, 12641, 16731, 18182, 33990, 5206, 11845, 10836, 16528, 16097, 17193, 3346, 15989, 3759, 2373, 24917, 10311, 13557, 4665, 98436, 8736, 31261, 4281, 6440, 8152, 11926, 6177, 9832, 3161, 46360, 4197, 14704, 20151, 8984, 3723, 6699, 12452, 6403, 7495, 3142, 2591, 13220, 4708, 7163, 3979, 7264, 8997, 2485, 37585, 24224, 17008, 6204, 7161, 5499, 9836, 30269, 18437, 3897, 17615, 3626, 4993, 5457, 8878, 12081, 24515, 5988, 35101, 14637, 2931, 7727, 15995, 9853, 7686, 10872, 19205, 3343, 6956, 38486, 3797, 9840, 1624, 7039, 5131, 12019, 19167, 13815, 3727, 2618, 8045, 13140, 2760, 19943, 25499, 16093, 5807, 5132, 19132, 14267, 4723, 4516, 25464, 17489, 3827, 8185, 11628, 3492, 7199, 9676, 7438, 17232, 4516, 8474, 5215, 19889, 8719, 3554, 2851, 4132, 4202, 10213, 4320, 28200, 7418, 9850, 18783, 67404, 4789, 4151, 3737, 4934, 12453, 4235, 27530, 4265, 8415, 24619, 4026, 24681, 20022, 4436, 7919, 4187, 41288, 11416, 10807, 8223, 5710, 12872, 60021, 3572, 13236, 21405, 5467, 32869, 11532, 4185, 6604, 3515, 17675, 18142, 2070, 38763, 4375, 5263, 22462, 9772, 23551, 13630, 8548, 9856, 7513, 6082, 40269, 1834, 14051, 6182, 13923, 11242, 4738, 5133, 12015, 7074, 3603, 22642, 7233, 26210, 7615, 5511, 21643, 33777, 47272, 16819, 8093, 4278, 6935, 11495, 4307, 7287, 6886, 41909, 7020, 5640, 4706, 3892, 18299, 5937, 16912, 7160, 5450, 7835, 8203, 13256, 2130, 62844, 15061, 3534, 7626, 19128, 5181, 6739, 7518, 4498, 5210, 4287, 19227, 4509, 4809, 11226, 13309, 6084, 10384, 5909, 12365, 6962, 10140, 10919, 8021, 4422, 5640, 3875, 5267, 14998, 5595, 3800, 3469, 8441, 5839, 6796, 7778, 5261, 4770, 3148, 14608, 3496, 10969, 4788, 21302, 4232, 6743, 5532, 6358, 6761, 3843, 9313, 13374, 8753, 6653, 5376, 3101, 3177, 17902, 13616, 17186, 9039, 35724, 5472, 4782, 7330, 6986, 4034, 8857, 23950, 10846, 7641, 2781, 13422, 12346, 3801, 38329, 4489, 5815, 2985, 4486, 4256, 3634, 4473, 3279, 5371, 4289, 4446, 3262, 47576, 5892, 13835, 3721, 29187, 5055, 3107, 6136, 5854, 8883, 5676, 6522, 3496, 7388, 49108, 6847, 9210, 11352, 2650, 6437, 4740, 9713, 13845, 5035, 6706, 3052, 6411, 3723, 5165, 8285, 2487, 16385, 18913, 5849, 3206, 3640, 14351, 7317, 2718, 7109, 5130, 5284, 11524, 6994, 10521, 39708, 10299, 5250, 10810, 16521, 22337, 13204, 4546, 7253, 21385, 34037, 88038, 3230, 3613, 4638, 3115, 3819, 3819, 9314, 18254, 15164, 12469, 3398, 18383, 5588, 19567, 7910, 3931, 51656, 15901, 17607, 9873, 5812, 11440, 12232, 5014, 5137, 5970, 2767, 56419, 12889, 3646, 5626, 11830, 23973, 8295, 12638, 14571, 7390, 5347, 5835, 12429, 61135, 8881, 12162, 4199, 11471, 4279, 3228, 6769, 9193, 3673, 3131, 6181, 8639, 4141, 15335, 6379, 9010, 2501, 4300, 4141, 13211, 4771, 4560, 13355, 6239, 17665, 5986, 5171, 7671, 15040, 5997, 3690, 4653, 5304, 21290, 6848, 6096, 12540, 27882, 12281, 6834, 4000, 5611, 5032, 3409, 8709, 12310, 4725, 3666, 3329, 7708, 5851, 5174, 44519, 5391, 18388, 9283, 14222, 5881, 18528, 13177, 10682, 4902, 8376, 3197, 6253, 5157, 8658, 24518, 8650, 5244, 5913, 5093, 3965, 22633, 4456, 3953, 2285, 8239, 3039, 8987, 7558, 8214, 3347, 2218, 7464, 7079, 12335, 8534, 20888, 4411, 2912, 17009, 7444, 11683, 12497, 7272, 6702, 5376, 25372, 7885, 9811, 62785, 11415, 12338, 8532, 7257, 5117, 11535, 5990, 11337, 59779, 19315, 7064, 1734, 4214, 43285, 7365, 7269, 3736, 6273, 5844, 3301, 9822, 10556, 3373, 4101, 3920, 4923, 5165, 11491, 8079, 8120, 8236, 6111, 8082, 4692, 7216, 19220, 12504, 10630, 54259, 6204, 7802, 14250, 3085, 6260, 15031, 22318, 7952, 8644, 6474, 18455, 4012, 4388, 7836, 2831, 4425, 9932, 4559, 8906, 16021, 4312, 3282, 27069, 5420, 5908, 5913, 10343, 10684, 18984, 1921, 2787, 5163, 6924, 8841, 10178, 14124, 4608, 10104, 7451, 8532, 16212, 6225, 16308, 6077, 3328, 3577, 17861, 5848, 6822, 27704, 3888, 5559, 7684, 12917, 5400, 9026, 9336, 7710, 15286, 3253, 12706, 8629, 16596, 12644, 5752, 8699, 8535, 13142, 56942, 8461, 3274, 15952, 8088, 5116, 6135, 3241, 2494, 7650, 4234, 7345, 13734, 10959, 4382, 4871, 4075, 4643, 5045, 19498, 6036, 15673, 2558, 5788, 3379, 5490, 9053, 4657, 9070, 15154, 4483, 8054, 5231, 9517, 3469, 4717, 4400, 7041, 5019, 4067, 20214, 8959, 4344, 4907, 6080, 5007, 3458, 6318, 12639, 6783, 4936, 4857, 7052, 7580, 8721, 13117, 16019, 4021, 8451, 3889, 4137, 8093, 8673, 4828, 4805, 5256, 19720, 9561, 13136, 5845, 11143, 6916, 4922, 20104, 23413, 6797, 4550, 10722, 6992, 10650, 8854, 13068, 7122, 2623, 6919, 5275, 10787, 3484, 8662, 3695, 10222, 17400, 5045, 4871, 21604, 5329, 7169, 15625, 4245, 3848, 4889, 5794, 7770, 8055, 14348, 3443, 9341, 8003, 5427, 3801, 10801, 10312, 26788, 83558, 7190, 19162, 4248, 7524, 5304, 7764, 3349, 10108, 11810, 4609, 3859, 4767, 22216, 8311, 11722, 2505, 4564, 3845, 10103, 16003, 14373, 3382, 4367, 9170, 4293, 16768, 6063, 13804, 7357, 5159, 2969, 5265, 12917, 35226, 8272, 26846, 8049, 7145, 23845, 4029, 9831, 5195, 4741, 21636, 4213, 6630, 3680, 3364, 4456, 26800, 7437, 5765, 9352, 7116, 2037, 10526, 10610, 5652, 3339, 9495, 9468, 5199, 5958, 9731, 10040, 11440, 3558, 16660, 9853, 29523, 20955, 7576, 15067, 4711, 3950, 7548, 4835, 6005, 3791, 18607, 10559, 6381, 8252, 2558, 4336, 6198, 6327, 3345, 4904, 15105, 2481, 18156, 5007, 5447, 16986, 6512, 11148, 4139, 3145, 14329, 7159, 6067, 26973, 5964, 15781, 5446, 5540, 2568, 37073, 9135, 5392, 15218, 6247, 3880, 4954, 6749, 6153, 5749, 4858, 4886, 4802, 10881, 8471, 5498, 7987, 5033, 12767, 6537, 3895, 4607, 6011, 13167, 6901, 7700, 5723, 4468, 7051, 4794, 6008, 3093, 2763, 3633, 3611, 7899, 8505, 8462, 4071, 16196, 20018, 27177, 14147, 13786, 11981, 3977, 7520, 6734, 11251, 5359, 4037, 3842, 4328, 4935, 2554, 7441, 3432, 6337, 5972, 3772, 9221, 6343, 15346, 9079, 3706, 5646, 2973, 6472, 14008, 8830, 12664, 2632, 7131, 9948, 5437, 3614, 4332, 7044, 4862, 7635, 7388, 2609, 8197, 6521, 10311, 3405, 8282, 77813, 20367, 3358, 8212, 7505, 7533, 5396, 3147, 3664, 2857, 4406, 3573, 4569, 5356, 3709, 12634, 8902, 4903, 2425, 6164, 8579, 29441, 36264, 2465, 4195, 4098, 11170, 7608, 8613, 7715, 9568, 4874, 5604, 4921, 9926, 5958, 2529, 2346, 9361, 4590, 6030, 3449, 5333, 4463, 3267, 3842, 6513, 3817, 20042, 8211, 9754, 3890, 2310, 7050, 25184, 8579, 5372, 6201, 4510, 6845, 4766, 7204, 8225, 60075, 4375, 3364, 6446, 16475, 3354, 11981, 22029, 4022, 15828, 4357, 7593, 7608, 5701, 16667, 21370, 5957, 7185, 7057, 11881, 14958, 8743, 8188, 5115, 6251, 4745, 8574, 2126, 12778, 1629, 5546, 2210, 2958, 6298, 45944, 12510, 5243, 4618, 11816, 6096, 14674, 11532, 11546, 7601, 7913, 10467, 5095, 2880, 8941, 16094, 6826, 4274, 3737, 7415, 4535, 8282, 18620, 5933, 5100, 7793, 7470, 5417, 3703, 3259, 7706, 3883, 4609, 6840, 34542, 6340, 12844, 9121, 10260, 3828, 11893, 5173, 5938, 15723, 13852, 3837, 4591, 3904, 4262, 21957, 6386, 4636, 5487, 10963, 5972, 5091, 16980, 69639, 5829, 5723, 7484, 62573, 5915, 9319, 5789, 3919, 2935, 9361, 33917, 5924, 6494, 3154, 2665, 7433, 20152, 12628, 16433, 11957, 4791, 4015, 26224, 6569, 9872, 6856, 5951, 9881, 3598, 36999, 7645, 8860, 11239, 4933, 6594, 3830, 4022, 6080, 11809, 13073, 7969, 45189, 4353, 5665, 8154, 3788, 13371, 3765, 8845, 4283, 6013, 7325, 14133, 6712, 17873, 6821, 4923, 4750, 33257, 5642, 15428, 11185, 5257, 2590, 9619, 11740, 5411, 5387, 4549, 12746, 10022, 5019, 3956, 3649, 2924, 6463, 11147, 6034, 5373, 13210, 5676, 9517, 6157, 4774, 4826, 6805, 7154, 11215, 4143, 3252, 26114, 9523, 6987, 9938, 6464, 12721, 18067, 2846, 7777, 15516, 7995, 16932, 6718, 7123, 7284, 11373, 15643, 4279, 7004, 13585, 3996, 7965, 4558, 29946, 7855, 4255, 2836, 8110, 3586, 4410, 3694, 5294, 2263, 3544, 5196, 6023, 9632, 20386, 5901, 16865, 7622, 8639, 3333, 6599, 6631, 4327, 5103, 4246, 4871, 5616, 7621, 3988, 8457, 8494, 5799, 4633, 14627, 18505, 20265, 3407, 4070, 4880, 2812, 7119, 3767, 4071, 10945, 5566, 8968, 1897, 3089, 4725, 8551, 8997, 9540, 10760, 5391, 5941, 13232, 13329, 3535, 3982, 9111, 4434, 12998, 1819, 2791, 4537, 7446, 5946, 5544, 2852, 4540, 5144, 8227, 4421, 12882, 3640, 2977, 2731, 11169, 12246, 4656, 7811, 23128, 3307, 6177, 2887, 5419, 4232, 6030, 6766, 19449, 3573, 15025, 6218, 7022, 2392, 5757, 7456, 4341, 7288, 25044, 7522, 16987, 23212, 21921, 3991, 7872, 3959, 8218, 4312, 6873, 4880, 5413, 8028, 4598, 4156, 6557, 5317, 5187, 6717, 8483, 61903, 14863, 6516, 6524, 11211, 7664, 10793, 9674, 5436, 4839, 9093, 12918, 3199, 4878, 10765, 10152, 5953, 6176, 7871, 11430, 11240, 5294, 7073, 8209, 6616, 16855, 4238, 4639, 3716, 5609, 4820, 6729, 8768, 6037, 6128, 4937, 59623, 2942, 11830, 9608, 8205, 16299, 20916, 11435, 6426, 5817, 4602, 22633, 4584, 5115, 6961, 9318, 10739, 5161, 3136, 5252, 1593, 6063, 7903, 7141, 11007, 11426, 6547, 3854, 5853, 6812, 3717, 7418, 7768, 3197, 3835, 11930, 2192, 10789, 10717, 4862, 8127, 4054, 6895, 4302, 4597, 14326, 5277, 14876, 9048, 3300, 8357, 2711, 4478, 6364, 5716, 6471, 8015, 8497, 10029, 6563, 14210, 4406, 8193, 5214, 2685, 4471, 5144, 5020, 7832, 7826, 3302, 4191, 2888, 11641, 9932, 4996, 6152, 10964, 27517, 3828, 9013, 6765, 5220, 8833, 6283, 11838, 3717, 9814, 7548, 5360, 5080, 7543, 3404, 14649, 6914, 5504, 4924, 7912, 3574, 6466, 8793, 8173, 3193, 5054, 4801, 4980, 22026, 6296, 5379, 3566, 8833, 3950, 6959, 10143, 5900, 5150, 4029, 13340, 5823, 9407, 7895, 3417, 4002, 8267, 8924, 1937, 15229, 4837, 7236, 15187, 10662, 5427, 4194, 4378, 13138, 6118, 3327, 21653, 8107, 4576, 8429, 12285, 5158, 5751, 5942, 10080, 2722, 5151, 6102, 9660, 5863, 12102, 8023, 4060, 4212, 14546, 4455, 2501, 5667, 3426, 3022, 7037, 5236, 2943, 4874, 2933, 6706, 4162, 8760, 4652, 2633, 17271, 11770, 4164, 8460, 11206, 13445, 6888, 8894, 12940, 3885, 4099, 10005, 5865, 7224, 2914, 28959, 11237, 6059, 13308, 2330, 5067, 9805, 2161, 4922, 4415, 5086, 11777, 18862, 6719, 9386, 3906, 6190, 2780, 8299, 3417, 5000, 17640, 7384, 2780, 3064, 6418, 14623, 2573, 8453, 3172, 5202, 7060, 11083, 15877, 13050, 6146, 3768, 3204, 4353, 6295, 7108, 11534, 7277, 2967, 7797, 14821, 7016, 3752, 4466, 10709, 5490, 3863, 5000, 2311, 23793, 3756, 5953, 6512, 6501, 4118, 9025, 12273, 5582, 9029, 7153, 14542, 6536, 4401, 5419, 5511, 5510, 4897, 10075, 11292, 5821, 2298, 9604, 4474, 6768, 4696, 2333, 4475, 6390, 4025, 7341, 8717, 1851, 6608, 9932, 6239, 5358, 4401, 6432, 9341, 8387, 13228, 13103, 4480, 6559, 16579, 3933, 12518, 11959, 7125, 8880, 6836, 6670, 15099, 5314, 4418, 26553, 7888, 9243, 25618, 6459, 8873, 10485, 2942, 5733, 3777, 17890, 4713, 5393, 5524, 3227, 3880, 3156, 9139, 5860, 9355, 10037, 16227, 5553, 2958, 13705, 3399, 8733, 17074, 6460, 19945, 3816, 11262, 4561, 7555, 6456, 11254, 9070, 5310, 8784, 17809, 3946, 15335, 7290, 5601, 4265, 4825, 6321, 1433, 7331, 4576, 4120, 12184, 3530, 7022, 17618, 4759, 2722, 12014, 3697, 6968, 12880, 21709, 6002, 5532, 5465, 14751, 25880, 5566, 4382, 7744, 6491, 5172, 2408, 4466, 8517, 6404, 4801, 11165, 3884, 8490, 22186, 2726, 7388, 10835, 3340, 11902, 3924, 4134, 9168, 2300, 3316, 4133, 18671, 10544, 15432, 11623, 3995, 3150, 16742, 5417, 6750, 25797, 9240, 9737, 6049, 13072, 4214, 5115, 3859, 6615, 21187, 5704, 7023, 5994, 2887, 6470, 10010, 7879, 5374, 14851, 9686, 14476, 7252, 1927, 5792, 7966, 5026, 5700, 6082, 9151, 6480, 2688, 2620, 7883, 8503, 8920, 11910, 14277, 3120, 2170, 3723, 4451, 5226, 3688, 10396, 8020, 20521, 6903, 12536, 3372, 6880, 14795, 13391, 7967, 6501, 11743, 5679, 3817, 4692, 3794, 4210, 11024, 5497, 7073, 14272, 9360, 9114, 5271, 10787, 7738, 13451, 3091, 5455, 2638, 5961, 23865, 6167, 4801, 5310, 13158, 11143, 3863, 8254, 7320, 6252, 20361, 6800, 7914, 7988, 13381, 6161, 4193, 10412, 8844, 18113, 4169, 1702, 5840, 5962, 5234, 4041, 4489, 10520, 3609, 4313, 3960, 2907, 7346, 4882, 6139, 5280, 21489, 7211, 6893, 24131, 2472, 3269, 2378, 6115, 6742, 8788, 10666, 9780, 2586, 3777, 8081, 14789, 8867, 10133, 10076, 11868, 10537, 3057, 24638, 7928, 8214, 11307, 8952, 7036, 6311, 6803, 6815, 10426, 11394, 3556, 5749, 3699, 4626, 4228, 4216, 18233, 8195, 7735, 3914, 5655, 10053, 20256, 7215, 2686, 27533, 7373, 4238, 7379, 2059, 8498, 6069, 8933, 8498, 9654, 7453, 3876, 7853, 13455, 18293, 1976, 5368, 6026, 3148, 1848, 10338, 6828, 5774, 5536, 11335, 6523, 8340, 7886, 17268, 12944, 11715, 5463, 18721, 8094, 6066, 6055, 9811, 6999, 4646, 4923, 6012, 5772, 5357, 5113, 6848, 11115, 8045, 7621, 6480, 10100, 7166, 22592 ], "xaxis": "x3", "yaxis": "y3" }, { "alignmentgroup": "True", "bingroup": "y", "hovertemplate": "Ułamek zaszczepionych=%{y}
count=%{x}", "legendgroup": "", "marker": { "color": "#0d0887" }, "name": "", "offsetgroup": "", "opacity": 0.5, "showlegend": false, "type": "histogram", "xaxis": "x2", "y": [ 0.7071823204419889, 0.6973429065562602, 0.6828863699198231, 0.6831277593191024, 0.6591144273187735, 0.6553348767312457, 0.6479928552373662, 0.6412532637075719, 0.6458158363288206, 0.6376707707876539, 0.6401793431287813, 0.6359338061465721, 0.6360584731997835, 0.6335780103076682, 0.6342923001906113, 0.6232558139534884, 0.6273695862736959, 0.626031969084841, 0.6225358630263766, 0.6251572327044025, 0.6217507645259939, 0.6193719008264463, 0.6203598484848485, 0.6176110025667548, 0.6171569460976024, 0.6155728670440322, 0.6187155005221543, 0.6123470122390209, 0.6142005958291956, 0.6097509497678345, 0.6092938733125649, 0.6085629434086784, 0.6129032258064516, 0.610214219186588, 0.5994005343063791, 0.6037575013638844, 0.6044550371253093, 0.6013979064528951, 0.6017342514664626, 0.5933168786785646, 0.6022163165020308, 0.5972332802547771, 0.5971799132280994, 0.5973419104260226, 0.5995946617720164, 0.5943561726229262, 0.5982835928836604, 0.5942865825862331, 0.5998248096489455, 0.5975709162047603, 0.5957298087310161, 0.5912668189895912, 0.5955345877448023, 0.5932184296496564, 0.5914824157886927, 0.5941324488161959, 0.6069596780557089, 0.5943327175769405, 0.5983050847457627, 0.5921210969662423, 0.5930152484013773, 0.5851518726039516, 0.5913984225111917, 0.5840993082535771, 0.5847961700275642, 0.5837059851334143, 0.5866833344298967, 0.5806269415419373, 0.5869436902372801, 0.5858733345501004, 0.5813814293124776, 0.5810086828006651, 0.6006016760977008, 0.5807642672784629, 0.57980125735145, 0.581493284771227, 0.581837005402957, 0.5843920145190563, 0.5827603346864386, 0.5821134122465109, 0.5801192842942345, 0.577879522398779, 0.575226202960759, 0.578594671220078, 0.5756777369479303, 0.577363731049647, 0.5731087981694897, 0.5747350750183612, 0.5766637349750806, 0.5721738667518432, 0.5764705882352941, 0.5801266171208368, 0.5743233249519302, 0.5763476769636934, 0.5779283639883833, 0.5779157297878581, 0.5729694034778781, 0.5720364023165111, 0.5728225514998193, 0.5676987060998152, 0.5733255223589143, 0.5682534416984575, 0.5681521384263793, 0.5715109573241061, 0.5685313126810787, 0.5717754606484788, 0.56967239913686, 0.5661211853162318, 0.5664530932074981, 0.5630923287834535, 0.5655433939498405, 0.5664002583353516, 0.565854812012296, 0.5683598816997872, 0.5658280301909131, 0.5636298033555837, 0.5679548248309773, 0.5612850803175199, 0.5625941422594142, 0.5629323052500284, 0.5593762495001999, 0.5631456714983583, 0.5613710050949514, 0.5623562578826322, 0.5618030717441616, 0.5652597600341068, 0.5577168023142851, 0.5660529282301787, 0.5618766802532305, 0.5563439065108514, 0.5578391429002565, 0.5630329266692903, 0.5633215774286631, 0.5618242579123255, 0.5586216508135605, 0.5592670524285464, 0.5599872002925648, 0.5589878601725903, 0.5561246677941531, 0.5760462378251097, 0.5596400327242977, 0.5567275562486077, 0.5579610143177506, 0.5577936356470149, 0.5555555555555556, 0.55450822140577, 0.5591191832235375, 0.5548013737526705, 0.5570396797772363, 0.5548562126966902, 0.5552729992520569, 0.5559354278388178, 0.5616384403308389, 0.5533928888363012, 0.5531248001023475, 0.5581286367009021, 0.5545643570997384, 0.5599785093289049, 0.5520435261351124, 0.5565025538731224, 0.55545986910093, 0.5537851877707739, 0.5597061581744295, 0.5571718118769562, 0.5500506348835398, 0.5567869832041343, 0.5533184190902312, 0.5588952441720029, 0.5513053236080399, 0.55407396493296, 0.5531397369074212, 0.551515483894556, 0.5491653659956086, 0.5560631771309229, 0.5523496755023849, 0.5504032258064516, 0.5517241379310345, 0.5511132980686432, 0.5533073635641618, 0.5505337151783389, 0.5522748558189974, 0.5529370992895513, 0.5515445440168687, 0.5460645629307218, 0.5499357051007286, 0.5498660686476048, 0.5491839138482248, 0.5472018089315998, 0.5512533115956797, 0.5500314663310258, 0.5529241313978435, 0.5458683636025826, 0.550501946322475, 0.5523096129837702, 0.5528939030986786, 0.5510362192523727, 0.5401331931300386, 0.5446489954930869, 0.5466016633209062, 0.5478569383014605, 0.5405883654058836, 0.5482096125614349, 0.5448248565208786, 0.5474369463910924, 0.5467575291272807, 0.5478828650573803, 0.5463596364453865, 0.5458396084337349, 0.5488295997986409, 0.546598530820824, 0.5460135936994283, 0.5453367875647669, 0.5468439553721535, 0.5430796529968455, 0.5498235795108894, 0.5427918849926106, 0.5424796209646567, 0.5504134629334108, 0.5452942041056293, 0.5514451717290578, 0.5469613259668509, 0.5482712629527033, 0.5454477611940298, 0.5396513772383842, 0.5441110277569392, 0.5420206819452208, 0.5416704701049749, 0.5454965232507606, 0.544471811713191, 0.5439472276698164, 0.5414518900343642, 0.5427824208312013, 0.5480894015861572, 0.5441107266435986, 0.5393230769230769, 0.5424582613701785, 0.5396933971753913, 0.54132038472313, 0.5344827586206896, 0.5405392598208786, 0.5447397658319801, 0.5416283348666053, 0.5404567453115547, 0.5394312518323072, 0.539968365981263, 0.5355624643106401, 0.5366244590479243, 0.5396753009850419, 0.5402932751913129, 0.5433973961562306, 0.5392076547498116, 0.539427928794448, 0.5526112683303319, 0.5416327725897244, 0.5413402959094865, 0.540567887181433, 0.542642924086223, 0.5385735080058224, 0.5353082465972778, 0.5348151508278521, 0.5413247362250879, 0.536257164216297, 0.5378448918717376, 0.534379407616361, 0.535593220338983, 0.5379241516966068, 0.5414300033411293, 0.5381310858358563, 0.5352024320802973, 0.5385774562989752, 0.5376552795031055, 0.5374791782343142, 0.5364944486752976, 0.5377551362402386, 0.5367281425064518, 0.5403444167659482, 0.5378512251786263, 0.534921417999859, 0.5315964826041837, 0.5371352785145889, 0.531860465116279, 0.535423284076785, 0.5402527075812275, 0.5351435914627333, 0.53354744683148, 0.543437060585682, 0.5307405224906698, 0.5376679462571977, 0.5300353356890459, 0.5347985347985348, 0.5331539496444359, 0.5301852688657931, 0.5391635743656604, 0.5354003407155026, 0.5368987152674036, 0.5345386533665836, 0.5326891951542498, 0.5293577981651376, 0.53184855233853, 0.533349987509368, 0.5342120566001163, 0.5328799880436407, 0.5358940201302546, 0.5321413367390379, 0.5308926367749898, 0.528448275862069, 0.5303757264495202, 0.5335679945054945, 0.5330837108219214, 0.531501657981999, 0.5365392692146157, 0.5332742507251047, 0.5308229577892499, 0.543998244459074, 0.5300865169631573, 0.5424128180961357, 0.5343751242594139, 0.532608695652174, 0.5354431954871625, 0.528246013667426, 0.5336096458176338, 0.5375122428991185, 0.5325781876503609, 0.5354337736522671, 0.5309079201545396, 0.5354856286609454, 0.5349150001102463, 0.5281612368856985, 0.5311808934099955, 0.5304903692488855, 0.528512084592145, 0.5307055127106541, 0.5324438362413046, 0.5363969093127288, 0.5270805812417437, 0.5271111492723136, 0.5275031332683471, 0.53345521023766, 0.5306450397971225, 0.5328419683503143, 0.5360935381834614, 0.5286909390833039, 0.5292921825910183, 0.528974519073529, 0.5287469473524791, 0.5239263803680981, 0.5243862250782666, 0.5289831500878277, 0.5261729352462194, 0.5249579493496955, 0.5231808895175232, 0.5305260090339502, 0.528692248549661, 0.5303294151792193, 0.5286696680354227, 0.5228426395939086, 0.5240784242862305, 0.5263056092843327, 0.5301281238107319, 0.5279454340252221, 0.5250334199308901, 0.527745142340714, 0.5217391304347826, 0.5346603632744463, 0.526537442476642, 0.5354467313303367, 0.528487777674505, 0.5281702424559568, 0.5241551939924907, 0.5273747300869776, 0.5256739409499358, 0.5272119928303731, 0.5285131239001011, 0.5238580028328612, 0.5594645080946451, 0.5247912317327766, 0.5307008331583001, 0.5255890739906949, 0.5262200427113818, 0.5223196492626544, 0.5217190031633362, 0.525224388734138, 0.5235085807681831, 0.5215089344804765, 0.5289614183539841, 0.5234533468559838, 0.5244885306881587, 0.5223633351739371, 0.521532635902702, 0.5272405339144647, 0.5282832278481012, 0.5243943585936973, 0.5265798965030578, 0.525929325378614, 0.5257376020087885, 0.528205557415467, 0.5226939254621931, 0.5238993710691824, 0.5351886540005352, 0.523228462216995, 0.5234621358309408, 0.5253749743168277, 0.5291201276498746, 0.5255964118625063, 0.5206534732368177, 0.5215915719512841, 0.5240209931368591, 0.5268075980392157, 0.5182234026855541, 0.5234509997531474, 0.5266886189435236, 0.5236903949662649, 0.5284337136287256, 0.5203843913803144, 0.5250084298078004, 0.522982062780269, 0.5174141221374046, 0.5206760922717125, 0.5303414822191526, 0.5314668581000239, 0.5238733628957409, 0.5149869241601287, 0.5189788377561303, 0.5201548387096774, 0.5224707572337369, 0.5291529709228824, 0.5215731195112638, 0.5204790321595144, 0.5236114234315269, 0.518919825561892, 0.527256101849898, 0.5235333112363275, 0.5183651226158038, 0.5300141627628282, 0.5195054359411639, 0.5221947314801338, 0.5177765985672592, 0.5214061160331523, 0.5224354188442586, 0.5254798146922568, 0.5182603207390194, 0.5190062855432506, 0.525499796001632, 0.5175540571960009, 0.5363937138130687, 0.5189577944609173, 0.5224798606575223, 0.5237518503566142, 0.5200878104050609, 0.5248451895484065, 0.5219639006233199, 0.5168924569325974, 0.5127043210875546, 0.5192544039328144, 0.5095391840328735, 0.51825784549143, 0.5142035239122618, 0.5166723439688127, 0.5164537359659311, 0.521415270018622, 0.5153122326775021, 0.514396887159533, 0.5231600831600831, 0.5218095006878692, 0.5224674451305251, 0.5244878737932658, 0.5161496642149025, 0.5237971052288434, 0.5198573356468094, 0.5168051359516617, 0.5218798955613577, 0.5219500924214417, 0.5247115968427444, 0.5185689617433179, 0.5180128104983597, 0.5130282920013971, 0.5263391371853167, 0.5220738413197172, 0.513558201058201, 0.5196737730719703, 0.516695652173913, 0.5144661308840414, 0.5245831551945276, 0.5173149675041226, 0.5212450592885376, 0.5160166253830976, 0.5176569506726457, 0.5126404494382022, 0.5122717930117278, 0.518120691842517, 0.5118885869565217, 0.5166158090540484, 0.5173455820137798, 0.5121430266592832, 0.5135975135975136, 0.5141348586514135, 0.5140335392762577, 0.5117172493276988, 0.5138877163360067, 0.5191029900332226, 0.5170014520813165, 0.5178604708951978, 0.5200372244518118, 0.5083682008368201, 0.5134780161360936, 0.5147645650438947, 0.5094816687737042, 0.5143075009029979, 0.5144990786538648, 0.5145681197905141, 0.5189710610932476, 0.5129728960949246, 0.5139652014652014, 0.5135472313745562, 0.5204391497313712, 0.5145962732919255, 0.5107948969578018, 0.5087204427301694, 0.5120608709729643, 0.5069161920260374, 0.5150268902246125, 0.512618636755824, 0.5067905646890636, 0.5159140369967355, 0.5082129919110714, 0.5133570792520036, 0.5170561375235025, 0.5111210628452008, 0.5127690330870542, 0.5085116351710136, 0.5152768512341561, 0.5155951623169955, 0.5113855654187572, 0.5079425113464447, 0.5097706032285472, 0.509842244869468, 0.5116863533551144, 0.5156938325991189, 0.5071690563521174, 0.5134808853118712, 0.5081548490089132, 0.5118064729194187, 0.5099365004703669, 0.5107994842037396, 0.5042591816785366, 0.5175486452082196, 0.5084383895892639, 0.5042122303346658, 0.5057221890763139, 0.5034642032332564, 0.5112688049957422, 0.5300606729178158, 0.5055077107951131, 0.5043063954553784, 0.5045055192610949, 0.5072427779157355, 0.5088721191107485, 0.5115230460921844, 0.5069371242984531, 0.5104188016670083, 0.5069941999317639, 0.5058884431215219, 0.506720850265708, 0.5088805439967523, 0.5150923757481135, 0.5080022075055187, 0.5079927102317104, 0.5022434938677834, 0.5053191489361702, 0.5060541495608792, 0.5101395838820121, 0.5026422764227643, 0.5123152709359606, 0.5030544111379457, 0.5141297992594036, 0.5039520758798569, 0.5071737882819429, 0.5098805646036917, 0.5097933995170378, 0.49809014514896865, 0.5026724673710379, 0.5031963470319635, 0.5072463768115942, 0.5002256430827859, 0.5008039530961998, 0.5020195115888896, 0.5071465472705355, 0.5019485580670304, 0.506585824796153, 0.5039601878460783, 0.5053991107347026, 0.4991142604074402, 0.5038878416588124, 0.5060895419978272, 0.5105827018552391, 0.508613317043372, 0.5127278981768146, 0.4959908361970218, 0.5029865259063759, 0.5013435303844563, 0.5077977951062114, 0.5038300835654597, 0.5062001771479185, 0.4961057351899929, 0.5073825503355704, 0.5043994167630348, 0.5077417134992545, 0.49774901519414744, 0.5113995089442301, 0.4975798644724105, 0.5014278914802475, 0.4998531283658083, 0.4997685185185185, 0.49939716312056737, 0.4993259638716635, 0.5040609137055837, 0.5019964861843156, 0.5006824520799953, 0.5024013363959073, 0.5136111780293905, 0.5030773347605031, 0.49473044183218484, 0.5024492090259375, 0.5067296340023613, 0.49752996730839083, 0.49871043376318874, 0.494949494949495, 0.5028636419025956, 0.4940387481371088, 0.5025323123050119, 0.4963540105883528, 0.5090171325518486, 0.5001894178557899, 0.5025077621208502, 0.49983045921333075, 0.4979852838121934, 0.49708522254094567, 0.5006688556487899, 0.4998248686514886, 0.5018645121193288, 0.4983255860448843, 0.5013997760358343, 0.4938047748564521, 0.49922915206727403, 0.5019206145966709, 0.49736834098999055, 0.4969649670482137, 0.4946236559139785, 0.49348879466989704, 0.4961593172119488, 0.49833097595473835, 0.49862198214088854, 0.4966183574879227, 0.4982070531176638, 0.5001142857142857, 0.5261257837735132, 0.49639390971418396, 0.4968276708964388, 0.49862001613519596, 0.4972120322817315, 0.49976602714085167, 0.49259334415584416, 0.49700519100226276, 0.49654718842486023, 0.4958404728202836, 0.5043620501635769, 0.49647711906625863, 0.4990294403105791, 0.5031243266537384, 0.49902152641878667, 0.5004221190375686, 0.5012663159945451, 0.49812734082397003, 0.4964659315804354, 0.4976408548431862, 0.49726172599593677, 0.4914973040232269, 0.49427699351392596, 0.5004596191726854, 0.4901106877154781, 0.49355449799011225, 0.49989637919294194, 0.5000211541716026, 0.49408407158570666, 0.4996910910663536, 0.49789621318373073, 0.4983417447728911, 0.4991735537190083, 0.49965172974228, 0.500617538081515, 0.496514667441185, 0.4905628862535494, 0.5002849002849002, 0.4929078014184397, 0.4936251593710157, 0.5025693730729702, 0.49450789660637195, 0.4982314300151592, 0.497457426679281, 0.49120111731843574, 0.49743119266055047, 0.4912571793235482, 0.4927465561379983, 0.4894387447193724, 0.5032863849765258, 0.49229838966329326, 0.4912024433968528, 0.4946236559139785, 0.4959349593495935, 0.4942492680886658, 0.5047288168307277, 0.4971063956076569, 0.49561053471668, 0.49844375277901287, 0.4928982725527831, 0.49871705155120133, 0.4963332813231393, 0.49212685739631845, 0.49012268662923686, 0.49563513272759663, 0.48688857164324895, 0.4911242603550296, 0.4938366718027735, 0.499238449822305, 0.48968863728265266, 0.49109451307095664, 0.49615384615384617, 0.4908874439051195, 0.4912105722478494, 0.494572591587517, 0.49663120567375885, 0.49006451612903223, 0.4983861780899943, 0.494732631017469, 0.49079535299374444, 0.4992105263157895, 0.49120784087633323, 0.4892785215021917, 0.4875834903236856, 0.4949970570924073, 0.4913859604011314, 0.49154153202813156, 0.489727463312369, 0.48856416772554, 0.4887732749178532, 0.4871281464530893, 0.4978575986872094, 0.49415204678362573, 0.4961505961881513, 0.4938563327032136, 0.49191754411982797, 0.48752711496746204, 0.49103491664045296, 0.4919390622688951, 0.4977881863127765, 0.4925373134328358, 0.49125168236877526, 0.48943219467611104, 0.4937622125356982, 0.49051339285714285, 0.4888745565946469, 0.48441926345609065, 0.48860462518154396, 0.4895710928319624, 0.4894681717677179, 0.49264299148135854, 0.49067853543836076, 0.4904970760233918, 0.5, 0.4926330150068213, 0.48897795591182364, 0.4885969261279127, 0.48808851755673477, 0.4891440501043841, 0.4870920154895814, 0.4876325088339223, 0.49262855088097807, 0.48666368648487557, 0.48452940223554186, 0.487503288608261, 0.4880638680894362, 0.4878592114056583, 0.4897678417884781, 0.48710217755443885, 0.4859563085153812, 0.48754699248120303, 0.49587231700605394, 0.4869215291750503, 0.4867337602927722, 0.48761869298082294, 0.48915831196083004, 0.4964012595591543, 0.4981606376456162, 0.48377333109130655, 0.5032247114731839, 0.48644741597397906, 0.48535339962375706, 0.48596978106691335, 0.4892185954500495, 0.4908271644673318, 0.48989569752281614, 0.4914588315681585, 0.4830575256107171, 0.48784355179704014, 0.48221404477154245, 0.482837528604119, 0.49106659447753115, 0.4864584181803372, 0.4873667299547247, 0.48979370249728554, 0.4847603946441156, 0.4935849056603774, 0.48966910051266116, 0.4835443037974684, 0.48769690106043445, 0.48515709642470206, 0.48500496524329695, 0.49075454816582165, 0.49344692005242463, 0.48947122133832477, 0.4802578565672844, 0.4925459825750242, 0.48569704284852144, 0.49215922798552475, 0.4819652120842234, 0.49019193147570456, 0.48230466746452383, 0.4909544603867748, 0.4824175824175824, 0.48421712772629083, 0.4818914855815225, 0.49705665930831494, 0.4817836545224363, 0.48460038986354775, 0.4823996971990916, 0.49166955918084, 0.48169859879897053, 0.49149320406805436, 0.4854689231389141, 0.4891737061850665, 0.4887619047619048, 0.4845513413506013, 0.4818110283881121, 0.47875721896405066, 0.48485307482581036, 0.4898812142542895, 0.4829725630773473, 0.47907411737198974, 0.482798131445192, 0.4803153183852427, 0.4873065015479876, 0.48989759202878497, 0.48921949115998276, 0.48346709470304977, 0.4878240377062058, 0.4818015187221786, 0.48174790637749626, 0.4798400350608086, 0.48516222632550776, 0.4840805196888283, 0.4820482636845203, 0.4881140183865528, 0.48783106657122405, 0.48208718761179536, 0.48596713021491783, 0.48537267870770795, 0.483061019049094, 0.48462360857807685, 0.4848639745555745, 0.48384482933252304, 0.48726772195457674, 0.486013986013986, 0.4843034663178548, 0.4782608695652174, 0.4835507105314386, 0.4812395309882747, 0.4857246114925913, 0.47868625817543736, 0.48180619132593683, 0.4832693362589139, 0.4845360824742268, 0.4846153846153846, 0.4798731906728403, 0.4872814948764316, 0.4880519069473018, 0.4822592821357491, 0.4817320703653586, 0.47634187394800825, 0.4875749785775493, 0.48587979724837077, 0.48103377770507894, 0.4791127125323725, 0.4826508797895083, 0.48368659204572517, 0.4847877255688257, 0.48305678896938536, 0.47552664188351923, 0.48116413059536123, 0.4768845860981181, 0.4789000816771032, 0.4825934206323858, 0.48584371460928655, 0.47922213219122584, 0.4808017387104564, 0.47903488751222695, 0.48001254115065056, 0.4794672586015538, 0.485405837664934, 0.4755813953488372, 0.4774209128229896, 0.4776322761335251, 0.4864808216306854, 0.47960526315789476, 0.48109322351179334, 0.4810065715659561, 0.47449759411265213, 0.4771132642833278, 0.4912009282537227, 0.48025029331247554, 0.48277925531914895, 0.47907286976821745, 0.4802168021680217, 0.47560713518160325, 0.471342383107089, 0.4743541568811649, 0.47692757009345793, 0.47851049868766404, 0.4711323763955343, 0.48343017000215194, 0.474065629834704, 0.4771729587357331, 0.47475, 0.4758510069506327, 0.4793322734499205, 0.48430624816661777, 0.47479618785164773, 0.4742485783915516, 0.48444444444444446, 0.4735406437534097, 0.4821267647942325, 0.47989102231447844, 0.47803794223209706, 0.47661383842288363, 0.4778858464925088, 0.47653496568354664, 0.4760169675875571, 0.4804481309921362, 0.4782730980171565, 0.47985036558408434, 0.47716968911917096, 0.4739318509524171, 0.47313237221494103, 0.47939616483068137, 0.4795845272206304, 0.47794807632155145, 0.4751319366703982, 0.4812875702928059, 0.47401247401247404, 0.4828697283628355, 0.47526011560693643, 0.4820747520976354, 0.4728564180618975, 0.4769291183978009, 0.4791929382093317, 0.47209826359740203, 0.47710951526032314, 0.4748292436124462, 0.47702407002188185, 0.47372253914309986, 0.47877591312931883, 0.4765772782908646, 0.4764487959777719, 0.47285122960798637, 0.4738571855392889, 0.46753832281334534, 0.4740085744908896, 0.4793049865800254, 0.47385488447507096, 0.47140848371221, 0.47807353504404443, 0.4763092269326683, 0.4732142857142857, 0.4746310776647657, 0.47313272434175174, 0.4752204057177095, 0.4744338641273906, 0.4682343234323432, 0.47373918233363177, 0.4767485119047619, 0.47564244048557464, 0.47609384908053265, 0.4711038630109061, 0.47511348251971014, 0.46938239159001316, 0.4807910520343654, 0.473511486169714, 0.4805015846768637, 0.49208520617549345, 0.47108799306458604, 0.4702838063439065, 0.4767575196260034, 0.4735609494973151, 0.4730520320994046, 0.4694224235560589, 0.4746251441753172, 0.48149027052681537, 0.4735358669284972, 0.47087576374745416, 0.4773696519466226, 0.4753747323340471, 0.4718635421648334, 0.4765571526351814, 0.48046046652529534, 0.4877825290164936, 0.4730011367942402, 0.4755410613697006, 0.4725676664228237, 0.48341836734693877, 0.4724761324395694, 0.4666021297192643, 0.46949786789661474, 0.47555390518628543, 0.4693349753694581, 0.47474502185526957, 0.475863197512682, 0.47129423410047017, 0.47058823529411764, 0.4715909090909091, 0.47237252861602497, 0.4703294945617402, 0.4725305738476011, 0.46889916880148913, 0.47437137330754353, 0.4723147910792105, 0.47143859649122805, 0.47649918962722854, 0.4742811501597444, 0.4726897744661034, 0.47302625683304955, 0.47170523138833, 0.477325312355391, 0.47914735866543096, 0.47049580059604446, 0.4715852442671984, 0.47333637192342753, 0.47447677386421644, 0.46555987283645356, 0.4705084745762712, 0.4702980265807491, 0.4619434086422461, 0.4711430496294633, 0.47793521003682665, 0.46915584415584416, 0.47227300426569163, 0.4730134101739998, 0.4841328413284133, 0.47088693297224105, 0.47099611026551663, 0.466305714009475, 0.47463496817671286, 0.47998314369995787, 0.4752732951587715, 0.4703982777179763, 0.4718187100522952, 0.4714038128249567, 0.4709874448591788, 0.4670858714875221, 0.46799773435287456, 0.4815538194444444, 0.4674386381631037, 0.4705408669977184, 0.46882325363338023, 0.4713792252652356, 0.46650602409638553, 0.473448614177091, 0.46865229554056276, 0.46664663461538464, 0.4763768521107073, 0.46833883881081684, 0.466484268125855, 0.4665787159190853, 0.46632255269997114, 0.4755658436213992, 0.47202734304731064, 0.4653826132222801, 0.4656654021831695, 0.4672222222222222, 0.4665411034788389, 0.4671165381319623, 0.47042801556420233, 0.47160800732696584, 0.4838610513372272, 0.4722965528096962, 0.4677251129910766, 0.4664376958303206, 0.47042075292628915, 0.4727051460361613, 0.4741924359121738, 0.46795547744581134, 0.46514990108050525, 0.4673703066277967, 0.4631840208013237, 0.47831398900427613, 0.47116349047141426, 0.4697082096933729, 0.4698983580922596, 0.46960065199674, 0.4662141314409133, 0.4699278267842823, 0.4725490196078431, 0.47661785545583374, 0.4648059904697073, 0.46373962429008303, 0.47011588648599323, 0.47466910086718395, 0.46335454732087866, 0.4687116564417178, 0.4830928279129873, 0.47234886025768086, 0.46230382603343934, 0.4670311464546057, 0.4688955528616091, 0.4652071931196247, 0.47062888735314445, 0.46611423498076354, 0.46029143897996355, 0.46923671711035014, 0.46510629160403694, 0.4652701212789416, 0.4627161145572126, 0.4639750167298684, 0.4658554755401043, 0.4714203785127127, 0.4700010507512872, 0.46756990487172095, 0.4621581513673945, 0.47, 0.4635705155517682, 0.46343893205817893, 0.469633636587165, 0.4680914217868804, 0.46288648286639134, 0.46984346224677714, 0.46606888119013656, 0.47730263157894737, 0.47094068304373876, 0.4632735685367264, 0.47198480531813863, 0.4678376453833373, 0.4716202270381837, 0.4649513776337115, 0.46757257566399013, 0.4649744753261486, 0.47401055408970977, 0.47104689829148033, 0.46214835709384766, 0.4651975778762719, 0.4660532205918926, 0.4626671399834339, 0.4679866289534585, 0.4621706550640561, 0.4648461633510441, 0.4630462354433299, 0.45940347970173984, 0.4711758584807492, 0.4604261796042618, 0.4614604462474645, 0.4629222884635498, 0.4639159561510353, 0.4588537211291702, 0.4628017589518083, 0.459224985540775, 0.46038195855343356, 0.4674691603660963, 0.4639302951351813, 0.4652052376048257, 0.4624175824175824, 0.4612945346017534, 0.4632437070938215, 0.4631924882629108, 0.4676982154958211, 0.46464646464646464, 0.4700926705981466, 0.4582539077392299, 0.4601821072409308, 0.4633175355450237, 0.4625938629832205, 0.47043628013777267, 0.4612098822442854, 0.46765899864682003, 0.46174916846018393, 0.4602873563218391, 0.4551040634291378, 0.46869226031615685, 0.45787817070912795, 0.4565584537436667, 0.4660343144092621, 0.4592, 0.4751472320376914, 0.46855509355509356, 0.46185313970137043, 0.4651363479461512, 0.4592020592020592, 0.45884543761638735, 0.459018678561472, 0.46122567528318326, 0.46311958034471684, 0.4599525178058228, 0.4582642343836374, 0.4617205998421468, 0.4589389871308212, 0.46130721489526766, 0.45811557413767356, 0.45793341152253525, 0.4605006954102921, 0.45939881014507883, 0.4578625235404896, 0.45986177565124936, 0.4683257918552036, 0.4577537351880474, 0.4631233203941475, 0.46755045508508114, 0.4585944115156647, 0.4601865914515079, 0.46462814200570096, 0.4627648416194672, 0.47069679510262874, 0.4580676212248827, 0.4580276403344139, 0.4606786427145709, 0.47699386503067487, 0.4553966189856957, 0.4635256854399683, 0.45772667624820346, 0.46371669101788077, 0.4689532820816085, 0.4513395923975269, 0.4544165757906216, 0.4558583740973678, 0.45998330152671757, 0.45439551377206006, 0.4649376992176181, 0.45942639662906076, 0.45551463461911224, 0.46210845402492423, 0.455650522317189, 0.46140744754974067, 0.46085277919718387, 0.4574468085106383, 0.4558220964016986, 0.4614237793514722, 0.45444366689993004, 0.46542252044453764, 0.45222139488706875, 0.4588546434747228, 0.45620789220404234, 0.45686564016030373, 0.45914217045664635, 0.4595300261096606, 0.4597285067873303, 0.45163043478260867, 0.45630202140309156, 0.4528725314183124, 0.4533208955223881, 0.45166061583972034, 0.46279271465741545, 0.4588323353293413, 0.45615514333895446, 0.45606283750613646, 0.46370891126733804, 0.4614514608859566, 0.4575371549893843, 0.4603174603174603, 0.45339652448657186, 0.4584917617237009, 0.4522023466051164, 0.4538435716683451, 0.45277977597369234, 0.4541832669322709, 0.4565559440559441, 0.4612141652613828, 0.452280912364946, 0.45569877194763014, 0.4556108796531518, 0.4554044380816034, 0.4643611404435058, 0.4527775934160749, 0.4585013797495224, 0.45164556962025315, 0.45310015898251194, 0.4655635987590486, 0.45545378850957535, 0.45634397256660514, 0.4518192078250121, 0.4565773273984279, 0.4591756777934493, 0.4544352884149297, 0.4483971853010164, 0.459640221402214, 0.45563084866085835, 0.4572467204046151, 0.45052316890881916, 0.45615823817292006, 0.4530950016550811, 0.4607013301088271, 0.4498237497246089, 0.45556221290193727, 0.4613548742427024, 0.4523136700812434, 0.45254914004914004, 0.45496950125583063, 0.46605460256100506, 0.4578696343402226, 0.4524391094982204, 0.45900265400195556, 0.44931597164990933, 0.44978311644978314, 0.4523809523809524, 0.45199923959191435, 0.4583180315828131, 0.4545126353790614, 0.4517133956386293, 0.45526393871550724, 0.45429666119321294, 0.45252225519287836, 0.4541989748981469, 0.456859292460381, 0.4559278350515464, 0.456398869600323, 0.44836272040302266, 0.45636274987810826, 0.45955818403200555, 0.45636064223960476, 0.4559967253376995, 0.4493960849645981, 0.45041816009557945, 0.4471727068823043, 0.448890505638414, 0.4544885438838112, 0.466123584343334, 0.45453121328424845, 0.46030289123451124, 0.4585365853658537, 0.4653787714347732, 0.4545000831808351, 0.4502923976608187, 0.44776119402985076, 0.4553246753246753, 0.45710291804997377, 0.45232766338406444, 0.4522762728690966, 0.4470171047142261, 0.44940079893475365, 0.4536049143226641, 0.4502352515381831, 0.4541701073492981, 0.4533370257546386, 0.4467654133434612, 0.45185185185185184, 0.45627511226660367, 0.4576271186440678, 0.45251914052852554, 0.45299230692376863, 0.4498656952570188, 0.4521806743479183, 0.4512548962715799, 0.4566396794925298, 0.45914005531807894, 0.45398936170212767, 0.46495396495396496, 0.45142653986312326, 0.45120358275797723, 0.45305920237800346, 0.4521082769390942, 0.45771719038817005, 0.44761904761904764, 0.44596711041503523, 0.44402634054562556, 0.4493006993006993, 0.447530377150071, 0.4450770261219022, 0.4583775185577943, 0.45038499078191085, 0.4458458142834621, 0.44604457187540725, 0.4489481220398722, 0.44792228818132757, 0.4436769394261424, 0.4433232425159771, 0.4457663782447466, 0.4469588806396345, 0.44847112117780297, 0.45120025268477576, 0.44680851063829785, 0.4512691067171505, 0.44410936871733014, 0.44877689902519774, 0.44576646375207524, 0.44967682363804246, 0.44775695627484385, 0.44590703414232824, 0.4445317616240995, 0.44680563075257174, 0.4426983518589498, 0.45053068195681345, 0.44609722435209326, 0.4455435942197653, 0.4522760646108664, 0.4471142236174837, 0.4476244329353707, 0.44994353611233856, 0.4502680166765932, 0.4459327812956649, 0.4518321119253831, 0.4452409398645958, 0.4468124536693847, 0.4458214172227518, 0.44950873362445415, 0.44382219110955545, 0.4418974126191557, 0.4531206269241534, 0.4473626614138761, 0.45220313666915607, 0.4467511458614182, 0.45385467785341144, 0.4421478319478769, 0.4478890475219254, 0.44742268041237115, 0.44759896171317326, 0.4516843454948129, 0.4450596107469176, 0.44302889918376354, 0.44908722109533467, 0.4514898688915375, 0.46290873596876525, 0.45013428827215757, 0.45386435331230285, 0.4447927551375827, 0.44432922877511344, 0.44418896321070234, 0.4472712351251539, 0.4421841541755889, 0.4444218654744971, 0.44428772919605075, 0.4452836522322927, 0.43811783313562674, 0.4518329070758738, 0.4495246234376669, 0.4507625272331155, 0.4505804311774461, 0.4523050159466512, 0.45602850178136134, 0.4461124803943536, 0.438322620140802, 0.45549193128578863, 0.4487947182557961, 0.43804034582132567, 0.4453647340584772, 0.4478139081719644, 0.4549928234570433, 0.43753213367609256, 0.44415584415584414, 0.46, 0.4425825921219822, 0.4425923767338851, 0.4434102755026061, 0.4446057087566522, 0.4379157427937916, 0.44558071585098613, 0.44313890054553084, 0.442670738478623, 0.4419452887537994, 0.4446774864752393, 0.4416, 0.4509512485136742, 0.4443065466956252, 0.4469195751138088, 0.4460345855694693, 0.4444537183874468, 0.44214444595760133, 0.43983092988562905, 0.44812989638615114, 0.4363093871930227, 0.44422494402739365, 0.44242902208201895, 0.4415014909664971, 0.43919121617567647, 0.4377632194665419, 0.44250461641765987, 0.4407794015309673, 0.44594020121864814, 0.44280784445753724, 0.4409680438561305, 0.4419535628502802, 0.4526135808500244, 0.4381231671554252, 0.44280915053591424, 0.44488935721812434, 0.4443666899930021, 0.44402634054562556, 0.4422444827046486, 0.43646408839779005, 0.4419401370357014, 0.4416289592760181, 0.43779580797836376, 0.4445855827246745, 0.4385773985721748, 0.4394884092725819, 0.4390616059507915, 0.4480294499783456, 0.4471056194989844, 0.43618766404199477, 0.437849257189587, 0.4375650364203954, 0.44309717651134595, 0.44283646888567296, 0.4375078983950461, 0.4454953663896054, 0.442198233562316, 0.4388888888888889, 0.4356335980315401, 0.4412824655150988, 0.43905654849106357, 0.4384651380439869, 0.44072785656944075, 0.44369521240728255, 0.43351708930540245, 0.4335909200676165, 0.4396348012889366, 0.4385639642676555, 0.4364705882352941, 0.44308995252149364, 0.44109772423025434, 0.4365885176296843, 0.43100189035916825, 0.43479594967781526, 0.44004671684401764, 0.44347154262168426, 0.43675417661097854, 0.4365497076023392, 0.43312489143651206, 0.4400630914826498, 0.43600124571784493, 0.43745203376822717, 0.43927875243664716, 0.44644723092998956, 0.435466240645758, 0.4326309684902378, 0.4336476928258673, 0.4394835591172168, 0.436687842910771, 0.4430544696377378, 0.4428229143977347, 0.4415983606557377, 0.4366494603472548, 0.43553308739809626, 0.4400250548073912, 0.4430543572044866, 0.4377619828685985, 0.43637690413208063, 0.4370395177494977, 0.4346886662738165, 0.43439340400471144, 0.4339665991757492, 0.4386687253388231, 0.43386335837847284, 0.43786745056119725, 0.4325507806881562, 0.4378698224852071, 0.4365275244124906, 0.43634479184660563, 0.43174279152845113, 0.4293015332197615, 0.4342484777267386, 0.4368605713948757, 0.44277515192437544, 0.43594086849399444, 0.43722257450856056, 0.4450281425891182, 0.4389882954392574, 0.4323640333465661, 0.4279379157427938, 0.433578774417331, 0.4349753282595969, 0.4289292423293676, 0.42839352428393523, 0.43223764490543015, 0.43233368853706805, 0.43790518638573744, 0.4426779463243874, 0.43354058141488827, 0.43467260398745067, 0.43079488604780436, 0.4300927052082489, 0.43518639633747547, 0.4317155756207675, 0.4398078120829255, 0.4317859314818569, 0.42659993933879287, 0.4386422976501306, 0.43858776727996024, 0.4307565789473684, 0.43111186383267, 0.43325938958158033, 0.43029238298406325, 0.43107835977782205, 0.4364805881001608, 0.4266548984995587, 0.43340691685062543, 0.4305702217529039, 0.4327275446862613, 0.4273572377158035, 0.4342566421707179, 0.4249357926686902, 0.4325627806419425, 0.4298976109215017, 0.42977428712941346, 0.4313170441001192, 0.4371957701561014, 0.43468699604163613, 0.43205362583790374, 0.43557894736842107, 0.4267071593950146, 0.4296348812477845, 0.42682136375421315, 0.4242288779615557, 0.42666920296747196, 0.42934362934362935, 0.4272793429670444, 0.42853492333901194, 0.42986508963223063, 0.43493595693335807, 0.4231699274565839, 0.42758512474501803, 0.42945519856316106, 0.4261805140466228, 0.42037411526794743, 0.43628391340093176, 0.4319425444596443, 0.428593532415287, 0.4257647797613708, 0.428239973483593, 0.4325330355481109, 0.4323996971990916, 0.42212825933756165, 0.4232426184722076, 0.42390774727951924, 0.4312945119396732, 0.4336924989639453, 0.4263041880969875, 0.4324853228962818, 0.42692822113241197, 0.4284335022930244, 0.4289667896678967, 0.4248295933215899, 0.4216108369211383, 0.43251753256046943, 0.4244314751459046, 0.43363242574257427, 0.42614574325917776, 0.4275751369900924, 0.42515811665495434, 0.4301144400154301, 0.4263341067285383, 0.42426516572858036, 0.42528939286558, 0.4297409943435546, 0.4317001263512565, 0.4242174629324547, 0.4202936780093203, 0.42421530396982676, 0.4318766066838046, 0.4304683038263849, 0.4229665071770335, 0.42767767767767767, 0.42598870056497173, 0.42562527424308905, 0.42453082214653043, 0.42329726288987907, 0.4209165687426557, 0.41960507757404797, 0.4252774352651048, 0.42693809258226434, 0.4231292517006803, 0.42365998917162967, 0.4319984888553079, 0.4206805125939019, 0.42409706546275394, 0.43071593533487296, 0.423211024406442, 0.41850083056478404, 0.42695967821053665, 0.41484494153533297, 0.42436999703528017, 0.42679086853844134, 0.4190299803217965, 0.42604260426042606, 0.42142748901348687, 0.419092142964862, 0.4247746706725214, 0.422888496962571, 0.42039566650965615, 0.4235269965099569, 0.42111823361823364, 0.4227791628395224, 0.4262788365095286, 0.4234362066926806, 0.4227690134212385, 0.42455595792378, 0.42197280379883445, 0.42093388938264853, 0.42388543636854903, 0.41855415741426105, 0.4247138244790138, 0.4353808353808354, 0.4155737704918033, 0.42105263157894735, 0.41803624104509063, 0.41757366604725243, 0.41562269712601324, 0.42466879853814526, 0.4270571325907294, 0.41592328278322926, 0.41960991038481815, 0.4153447717707996, 0.4292063492063492, 0.41714419366156, 0.42125152828720686, 0.41729559748427675, 0.42397769516728623, 0.42366907809311816, 0.42080457835381246, 0.4198911729141475, 0.42126191012078923, 0.4183875530410184, 0.4249121044701155, 0.41620019756338494, 0.43256653134866935, 0.422680412371134, 0.4161627267729522, 0.41956288068792547, 0.4315627066343399, 0.4145850120870266, 0.41456441305079045, 0.42514430014430016, 0.4126928471248247, 0.41541850220264315, 0.41174183514774493, 0.4219034885134314, 0.4229812259669758, 0.41662785281788545, 0.4184065934065934, 0.42089351696338595, 0.42878066642255586, 0.41830065359477125, 0.4163808590560183, 0.42332474226804123, 0.4233772884393804, 0.41482186094776896, 0.4179014212276988, 0.41427877610490527, 0.4218912365777624, 0.4224026573168481, 0.4128071833648393, 0.4132669983416252, 0.4142772686964233, 0.4158054398683737, 0.42233417296389586, 0.4123793677204659, 0.4170151174010936, 0.4174024494446027, 0.41095317725752506, 0.4243529616119507, 0.4142972103004292, 0.41626353374798436, 0.41753567508232714, 0.414151094074429, 0.41199149162456794, 0.41207982574910224, 0.4134499396863691, 0.41530952055106973, 0.4229516411926835, 0.4094258130081301, 0.41500378883556455, 0.4126308104161597, 0.41280148423005564, 0.4165575440128037, 0.40614754098360656, 0.4128948826898208, 0.413677130044843, 0.4140930839495433, 0.41000962463907603, 0.4120786945249352, 0.41132217415836, 0.4139194139194139, 0.41789489355366977, 0.4114110574089355, 0.4106909196646366, 0.4105496871425688, 0.4145181092694905, 0.411250766400981, 0.4084381411114084, 0.40631524008350733, 0.4118410080607801, 0.40893115567500515, 0.4177704194260486, 0.41227526348419097, 0.41515451446167384, 0.41043505186561385, 0.42106908408877775, 0.41266912669126693, 0.41012540640966094, 0.4108550039401103, 0.40937342516378294, 0.4166126943005181, 0.40960487866853007, 0.4069116360454943, 0.4117437722419929, 0.40989799773328295, 0.4117064894669871, 0.4050432452186624, 0.405683192261185, 0.40919608424799764, 0.41599811231713074, 0.4084932097434792, 0.40769644779332614, 0.4105901230165805, 0.41473029045643156, 0.4159607668301382, 0.41480383211678834, 0.4068245817459003, 0.4066579634464752, 0.4075349402471136, 0.4075440685641447, 0.4109449354180829, 0.4139475908706678, 0.4074729392173189, 0.40548446069469835, 0.40542364562243083, 0.40466628418435646, 0.40717096633143857, 0.40102707749766575, 0.40708268867113634, 0.4069969578444155, 0.4063093712720364, 0.4040139616055846, 0.4064516129032258, 0.4045395776468898, 0.4092079845460399, 0.4057174783499395, 0.4078666925014532, 0.4005102040816326, 0.4087966488956588, 0.4011299435028249, 0.40029688273132114, 0.3990889535619385, 0.4010642767119451, 0.40019987280821295, 0.4052161736390688, 0.4053765083244234, 0.4110015568240789, 0.40116179736887064, 0.40869054609512623, 0.3979015334947538, 0.4046912914532219, 0.40859938208032953, 0.4050672505473882, 0.4132985658409387, 0.40243084660519696, 0.40191605839416056, 0.40059319677449257, 0.4021647849211533, 0.40621143562320033, 0.39891718961486405, 0.4037987173162309, 0.40290065264684555, 0.398419339841934, 0.4187513595823363, 0.39864581879100935, 0.39909039226833426, 0.4007125571390159, 0.40705128205128205, 0.3987878787878788, 0.4020581548402537, 0.40132792327554406, 0.4084412684234033, 0.40194846008799495, 0.39730580825752276, 0.39762015144490803, 0.4029943855271366, 0.39778745439566904, 0.39545318576129224, 0.3966174005790035, 0.40140745953553836, 0.39559691330004537, 0.3994873672647382, 0.4014192558496356, 0.39776536312849164, 0.3970029076269291, 0.3989113530326594, 0.4101593625498008, 0.4046220633299285, 0.3959877331970355, 0.3982434887946699, 0.3953710331663088, 0.39993074792243766, 0.39412421613263465, 0.4015304067660089, 0.3989191353082466, 0.3993823146944083, 0.3980299160890186, 0.39800850383399355, 0.3986415882967607, 0.39542882503051147, 0.4010347376201035, 0.39425287356321836, 0.3991848749009397, 0.40028648734680883, 0.3941544179760095, 0.39655636265805755, 0.3925005094762584, 0.3952040275569687, 0.403544776119403, 0.40295275590551183, 0.3932122497679968, 0.39336075205640425, 0.396067990989146, 0.393115417992479, 0.39280523255813954, 0.3954102355808286, 0.394464105156724, 0.3939563514269726, 0.3971543458088463, 0.3988399863527806, 0.39557078184265265, 0.3999373629815221, 0.3953304313415117, 0.3905436367423453, 0.3897590361445783, 0.39062925633342416, 0.3972363405336722, 0.40174753671686186, 0.3920358945597308, 0.39329786029661495, 0.3951898734177215, 0.3925851415433252, 0.39574090505767523, 0.40559322033898304, 0.3858252427184466, 0.39637627202779846, 0.3901799100449775, 0.38880302249699467, 0.39077282874455194, 0.3882203926535782, 0.3974246414983904, 0.39205397301349326, 0.38671827748881094, 0.39757956073509637, 0.38822922044398556, 0.3896513231334953, 0.39011784163737856, 0.3908236594803759, 0.39191413709093303, 0.3911086100168824, 0.38971807628524047, 0.39461134954697186, 0.3883051621745089, 0.3890242045973512, 0.39163125204315136, 0.39705440336639614, 0.39283240197663144, 0.3880597014925373, 0.39117132867132864, 0.39221734488076876, 0.39145299145299145, 0.390849166343544, 0.3933229003651539, 0.38774823291820937, 0.3846230158730159, 0.4019103600293902, 0.38691516210444576, 0.38511963290724355, 0.38995859213250517, 0.37983967252259937, 0.38663030903982815, 0.39012838090489843, 0.3876847290640394, 0.38342830009496676, 0.3891104083596865, 0.3898989898989899, 0.3822471011595362, 0.39332980412916885, 0.38908347927612374, 0.38352084712111184, 0.38425465397186304, 0.39228418640183343, 0.3876996262317363, 0.3861304883052934, 0.3801568360040914, 0.3880107366537429, 0.38034598750600673, 0.39200913242009133, 0.38671539122957865, 0.38928978351690086, 0.3831856869897516, 0.3860662701784197, 0.38232468780019213, 0.3904255319148936, 0.3782794931286811, 0.38809966530308665, 0.3848722415795586, 0.3873397796267146, 0.3829211746522411, 0.38223938223938225, 0.3818004391314955, 0.3805097451274363, 0.3890878090366581, 0.37832225913621265, 0.3822923816060398, 0.3816775441140923, 0.38141852807688886, 0.3794355504208615, 0.38458070333633904, 0.3824034334763948, 0.3885928557331754, 0.3826619071902091, 0.3896344285053216, 0.38338073953677365, 0.3827859569648924, 0.3849783720015729, 0.3817610596926212, 0.38177287668327853, 0.38264622711713053, 0.3782228851480929, 0.38402457757296465, 0.38449111470113084, 0.39784172661870504, 0.3779973490782022, 0.38162130523851334, 0.3804, 0.3761337868480726, 0.3833965330444204, 0.3859712230215827, 0.3838120104438642, 0.377843564973512, 0.3783765301237776, 0.38282160901671203, 0.37726251035135455, 0.37578814627994955, 0.3806228373702422, 0.3820113314447592, 0.3806731029504647, 0.37450399949612645, 0.37754789272030653, 0.3763423364790107, 0.3856157112526539, 0.3801498127340824, 0.3779002986446129, 0.37934868943606037, 0.3788688801350591, 0.3842552453615398, 0.37378040401264256, 0.3751263902932255, 0.3782223932281647, 0.37925915930099185, 0.37785062713797035, 0.3702025586353945, 0.3755038065382893, 0.3736109814174993, 0.3808743169398907, 0.37250841315040123, 0.3698, 0.37559498052791, 0.3720842264531585, 0.3777955271565495, 0.379304552326558, 0.3779176904176904, 0.37517305029995385, 0.38028169014084506, 0.38858725761772855, 0.37570276216084086, 0.3711931207452526, 0.37534610698859233, 0.3803998322382217, 0.37092559482877185, 0.37484700122399023, 0.3767325607816405, 0.37220889463000556, 0.37579386681183086, 0.3689655172413793, 0.36838880947518887, 0.3791563275434243, 0.374512929507616, 0.37691118364542175, 0.3711923411662315, 0.3726572261557684, 0.37036209208761733, 0.37189716312056736, 0.3752129471890971, 0.37419631375910845, 0.37206703910614525, 0.37198748043818464, 0.3791304347826087, 0.36575398447078056, 0.3683606745439945, 0.3765532144786602, 0.37167070217917675, 0.3730366492146597, 0.3728161564353262, 0.3714072415080254, 0.37423312883435583, 0.36691542288557216, 0.3705170752596082, 0.3761774174317396, 0.37035077109162384, 0.36831260016790046, 0.38638392857142856, 0.368196371398079, 0.36956390614632967, 0.3663869819476227, 0.3637162486020131, 0.3664185968726482, 0.3639298245614035, 0.36565315315315317, 0.3611761263897016, 0.3640179910044978, 0.3642625339426452, 0.36112156567557396, 0.3630602082390222, 0.3625579030618009, 0.36105476673427994, 0.36395109812831333, 0.3620891560621438, 0.363059297104815, 0.36920996280852025, 0.36337625178826893, 0.3619986403806934, 0.3612419326705041, 0.36351601800370664, 0.35997764114030184, 0.3602800763844685, 0.367698868904135, 0.36730629978276613, 0.3684536721413077, 0.361340206185567, 0.35868187579214195, 0.35933909618120147, 0.3674061433447099, 0.35510422234099415, 0.36016738069144166, 0.35638133974240466, 0.3558436880965244, 0.3539553752535497, 0.3605983217803721, 0.3595175051485731, 0.35738005267376616, 0.36294951388075436, 0.37105263157894736, 0.35983955878666335, 0.360062893081761, 0.3624578227668265, 0.36329752247314184, 0.3609530112508273, 0.3722118959107807, 0.35809489959125645, 0.3644983461962514, 0.3583804143126177, 0.36259107468123863, 0.35869504183278117, 0.3611251900658895, 0.3561786762308445, 0.3728395061728395, 0.3560078557400464, 0.353810082063306, 0.35689119170984457, 0.3551653219427306, 0.3614794138171668, 0.3547947074069022, 0.35861013986013984, 0.3599514563106796, 0.3557124097176625, 0.3611898016997167, 0.3561663343776702, 0.3528209785446702, 0.361840722840933, 0.35819250551065396, 0.35566838688197105, 0.3505545036516094, 0.35017221584385766, 0.359472049689441, 0.35561287945091896, 0.35771409530156617, 0.3553868402024584, 0.3533394327538884, 0.35231509728154026, 0.351661514683153, 0.3555515630614445, 0.35896850753080783, 0.3518853305785124, 0.3512555846556771, 0.3509280742459397, 0.3488372093023256, 0.34617107030900135, 0.34930139720558884, 0.3504059962523423, 0.34555300978962716, 0.34545454545454546, 0.3455200823892894, 0.3528857479387515, 0.3502208600018029, 0.35143066764490094, 0.3459664320519762, 0.3461928934010152, 0.34790419161676644, 0.34674844563938834, 0.3476044852191641, 0.34760522496371554, 0.3507853403141361, 0.3456521739130435, 0.3422798552472859, 0.34575368981369464, 0.34631246317819075, 0.3455045523520486, 0.3452566096423017, 0.3442312655940807, 0.34893617021276596, 0.3450793650793651, 0.34547843746266876, 0.3477939819088056, 0.3419259259259259, 0.34162887157421407, 0.34155844155844156, 0.3432268665913526, 0.34650355430649693, 0.3406517747858017, 0.3372093023255814, 0.3464320625610948, 0.34283493132935994, 0.3427059712773998, 0.343748525038939, 0.34151472650771386, 0.3497081019507333, 0.34601267934601265, 0.34430204364392103, 0.34775888717156106, 0.34655344655344655, 0.3447137961670263, 0.33848157796799405, 0.33842838866069624, 0.34038818913896346, 0.33773141751865154, 0.3382515168229454, 0.34094447327452, 0.33667127071823205, 0.3425809691187547, 0.33883804218066055, 0.3387719298245614, 0.3490628082867478, 0.33559173860780245, 0.3419753086419753, 0.33630952380952384, 0.34541984732824427, 0.3369275656475961, 0.33929201458308833, 0.33475336322869953, 0.33921074727120065, 0.339076836870491, 0.3407051282051282, 0.3313364055299539, 0.33387053451517595, 0.33363289148505954, 0.34443168771526983, 0.34137744034707157, 0.3386879569065025, 0.33266832917705735, 0.333706934359924, 0.3375344053310155, 0.3370293554562859, 0.3398576512455516, 0.33066860465116277, 0.33396417708685366, 0.33425434993652453, 0.3329986193046316, 0.3370250730656822, 0.33347526185812826, 0.3328050713153724, 0.3306261461881058, 0.3320545609548167, 0.33921982076963625, 0.3394299287410926, 0.33227503628447025, 0.3321811897398581, 0.33239078184645837, 0.33541199551569506, 0.3267094017094017, 0.326091727013386, 0.3293492695883134, 0.3276165755075554, 0.3331610235202895, 0.32718756969742024, 0.33322549336784213, 0.32832263978001835, 0.3271417740712661, 0.32427445059553767, 0.3252880787764509, 0.3246311010215664, 0.32430743595084355, 0.3288135593220339, 0.32748138014895883, 0.3252265996589787, 0.34092674087496766, 0.3284468136661013, 0.3280054644808743, 0.3253358925143954, 0.3255734001276951, 0.32132352941176473, 0.3291635077078595, 0.31810215322984475, 0.3202301771168074, 0.3202402207433858, 0.3167183400906272, 0.32299270072992703, 0.3185210312075984, 0.31910782311047314, 0.3207004077716479, 0.3172737955346651, 0.32808219178082193, 0.3151626970815163, 0.3204050439434467, 0.31328878990348924, 0.31588327021608376, 0.314828897338403, 0.314768633970629, 0.3192673313239045, 0.3323232323232323, 0.31682146542827655, 0.30914783555676556, 0.3146251536255633, 0.3160123798664278, 0.32083333333333336, 0.3107171110800875, 0.3188184717792262, 0.30973451327433627, 0.3105548879035266, 0.3272653721682848, 0.31049250535331907, 0.30950378469301937, 0.3177432542927228, 0.31162859685553246, 0.31144742831133365, 0.3139883742733921, 0.31206543967280165, 0.30935808197989173, 0.3179772306063013, 0.3091201583962381, 0.3094867807153966, 0.3094620502988609, 0.30918780223033654, 0.3111353711790393, 0.3107516009437142, 0.31033500996488567, 0.30912659470068693, 0.3059501582920692, 0.3053733602421796, 0.30825420014609206, 0.30635889272132305, 0.30674709562109026, 0.3065662308129619, 0.3132625574393915, 0.30677642216669115, 0.30300807043286865, 0.3031843468252446, 0.3050728453572055, 0.3107424071991001, 0.31327187336928164, 0.3160313598269803, 0.30544747081712065, 0.30179754020813626, 0.3085863377609108, 0.30362529479515166, 0.3029896278218426, 0.30148674854557206, 0.30173735309146654, 0.29849690539345713, 0.2978215458072217, 0.29635663507109006, 0.3049203049203049, 0.3015636634400596, 0.29546362546762067, 0.29580903295809036, 0.293534686172723, 0.2947553869087952, 0.29917435648373, 0.29983525535420097, 0.29378810347668477, 0.2896003582223217, 0.28900917863026593, 0.2940749948207997, 0.2872668724003757, 0.28586171310629516, 0.2851139691837514, 0.2846525455221107, 0.2843710709014377, 0.2874493927125506, 0.2816691505216095, 0.2844341188184534, 0.29129606099110544, 0.2840909090909091, 0.2788740568775392, 0.28719976567076744, 0.2795289227571874, 0.2758309248554913, 0.2802823114247905, 0.2733404875057489, 0.27745803357314147, 0.2737763124524474, 0.2739749826268242, 0.2764987639060569, 0.26888604353393086, 0.276038806516566, 0.2674536616633727, 0.26748208549542873, 0.27002967359050445, 0.27299752270850536, 0.2668433391091632, 0.26918131161594516, 0.2686181661644425, 0.2652853950842982, 0.25449101796407186, 0.25693000693000695, 0.24771327235392943, 0.25757872090749073, 0.2421144859813084, 0.23391812865497075, 0.2362958359229335, 0.23527096181603463, 0.23487654320987655, 0.2310891089108911, 0.2271839240859615, 0.2132613314447592 ], "yaxis": "y2" } ], "layout": { "barmode": "overlay", "coloraxis": { "colorbar": { "title": { "text": "count" } }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "legend": { "tracegroupgap": 0 }, "margin": { "t": 60 }, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "xaxis": { "anchor": "y", "domain": [ 0, 0.7363 ], "title": { "text": "Liczba ludności" } }, "xaxis2": { "anchor": "y2", "domain": [ 0.7413, 1 ], "matches": "x2", "showgrid": true, "showline": false, "showticklabels": false, "ticks": "" }, "xaxis3": { "anchor": "y3", "domain": [ 0, 0.7363 ], "matches": "x", "showgrid": true, "showticklabels": false }, "xaxis4": { "anchor": "y4", "domain": [ 0.7413, 1 ], "matches": "x2", "showgrid": true, "showline": false, "showticklabels": false, "ticks": "" }, "yaxis": { "anchor": "x", "domain": [ 0, 0.7326 ], "title": { "text": "Ułamek zaszczepionych" } }, "yaxis2": { "anchor": "x2", "domain": [ 0, 0.7326 ], "matches": "y", "showgrid": true, "showticklabels": false }, "yaxis3": { "anchor": "x3", "domain": [ 0.7426, 1 ], "matches": "y3", "showgrid": true, "showline": false, "showticklabels": false, "ticks": "" }, "yaxis4": { "anchor": "x4", "domain": [ 0.7426, 1 ], "matches": "y3", "showgrid": true, "showline": false, "showticklabels": false, "ticks": "" } } }, "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import plotly.express as px\n", "\n", "\n", "fig = px.density_heatmap(df_sub100k, x=\"liczba_ludnosci\", y=\"ulamek_zaszczepionych\", marginal_x=\"histogram\", marginal_y=\"histogram\", labels={\n", " \"liczba_ludnosci\": \"Liczba ludności\",\n", " \"ulamek_zaszczepionych\": \"Ułamek zaszczepionych\"\n", " })\n", "fig.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Dane są bardzo rozmyte. Narysujmy medianę liczby zaszczepionych grupując gminy co 1k w liczbie mieszkańców.\n", "Jak niepewność narysujmy odchylenie standardowe z próby, ale w wariancie ob" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, axes = plt.subplots(2,2, figsize=(10,10))\n", "\n", "df_mean1k = df_filtered.groupby((df_filtered[\"liczba_ludnosci\"]/1000).round(0)).median()\n", "error = df_filtered.groupby((df_filtered[\"liczba_ludnosci\"]/1000).round(0)).std(ddof=0)\n", "\n", "df_mean1k.plot(x=\"liczba_ludnosci\", y=\"ulamek_zaszczepionych\", ax=axes[0,0], kind = \"scatter\")\n", "df_mean1k.plot.hexbin(x=\"liczba_ludnosci\", y=\"ulamek_zaszczepionych\", ax=axes[0,1], gridsize = 30)\n", "\n", "df_mean1k = df_mean1k[df_mean1k[\"liczba_ludnosci\"]<60000]\n", "df_mean1k.plot(x=\"liczba_ludnosci\", y=\"ulamek_zaszczepionych\", yerr=error, ax=axes[1,0], kind = \"scatter\")\n", "df_mean1k.plot.hexbin(x=\"liczba_ludnosci\", y=\"ulamek_zaszczepionych\", ax=axes[1,1], gridsize = 30)\n", "\n", "label_setter(axes);" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "colab": { "collapsed_sections": [], "name": "01a_Powtórka_numpy.ipynb", "provenance": [ { "file_id": "0BzwQ_Lscn8yDWnZVeHU1MjluWFU", "timestamp": 1546856440599 } ] }, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.6" } }, "nbformat": 4, "nbformat_minor": 4 }