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jaircastruita/ECOBICI_analysis_consensus_cluster_corrected

Created May 6, 2016 22:33
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ECOBICI_analysis_consensus_cluster_corrected
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{
"metadata": {
"name": "",
"signature": "sha256:bc9e1652c8a802dca603f12cdc6f292033e9bc0ca0c93fb1c07808754617a29a"
},
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"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"An\u00e1lisis de frecuencia de rango con uso de consensus clustering"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Un aspecto que ha llamado la atenci\u00f3n desde hace unos a\u00f1os en \u00e1rea de predicci\u00f3n en los sistemas de bike sharing ha sido el de poder encontrar similitudes entre las estaciones que forman parte del sistema. Al encontrar estas similitudes quiz\u00e1 estos nos traigan un atisbo que nos sea de ayuda en la planeaci\u00f3n del sistema en la agregaci\u00f3n, eliminaci\u00f3n o un cambio que se realice en las estaciones.\n",
"\n",
"En un experimento anterior hemos obtenido la diversidad de rango perteneciente a las estaciones de Ecobici en los periodos de la primera y tercera fase. Para este experimento utilizaremos un conjunto ligeramente diferente para obtener otro enfoque en la interpretabilidad que \u00e9stas nos puede arrojar sobre el comportamiento del sistema."
]
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Frecuencia de uso en el rango por estaci\u00f3n."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Diversidad de rango puede verse como una medida en frecuencia de uso en el sistema, el siguiente enfoque que se presentar\u00e1 a continuaci\u00f3n puede interpretarse como una medida de comportamiento en las estaciones mismas\n",
"\n",
"Primero que nada, se deben de obtener y tratar los datos para que obtengan la forma necesaria para realizar el an\u00e1lisis sobre ellos: Lo primero que se desea hacer es ordenar los conteos por estaci\u00f3n $e_1$,$e_2$,...$e_n$ a lo largo de los d\u00edas de manera que $e_1$ sea la estaci\u00f3n con m\u00e1s conteos, seguido de $e_2$, hasta llegar a $e_n$, obteniendo una matriz de D x E donde D son los d\u00edas transcurridos y E el conjunto de estaciones ordenados de mayor a menor:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"import pandas as pd\n",
"import numpy as np\n",
"import seaborn as sns; sns.set()\n",
"from sklearn import preprocessing"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def get_dr(phase):\n",
" data = dict([(r[0], list(phase.columns[np.argsort(list(r)[1: ])[::-1]])) \\\n",
" for r in list(phase.to_records())])\n",
" \n",
" dr = pd.DataFrame.from_dict(data, orient='index', dtype=None)\n",
" dr = dr.sort_index()\n",
"\n",
" return dr"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def normalizeColumns(data):\n",
" \n",
" #returns scaled column values of a pandas dataset\n",
" x = data.values #returns a numpy array\n",
" min_max_scaler = preprocessing.MinMaxScaler()\n",
" x_scaled = min_max_scaler.fit_transform(x)\n",
" dt_norm = pd.DataFrame(x_scaled)\n",
" dt_norm.index = data.index\n",
" \n",
" return dt_norm"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 3
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def plot_freqHeatmap(data):\n",
" norm_data = normalizeColumns(data)\n",
" \n",
" fig, ax = plt.subplots(1, 2, figsize=(16, 6), sharey=True)\n",
" ax[0].set_title('Station over rank frequency')\n",
" ax[1].set_title('Normalized Station over rank frequency')\n",
" \n",
" yticks = data.index\n",
" keptticks = yticks[::int(len(yticks)/10)]\n",
" yticks = ['' for y in yticks]\n",
" yticks[::int(len(yticks)/10)] = keptticks\n",
" \n",
" xticks = data.columns\n",
" keptticks = xticks[::int(len(xticks)/10)]\n",
" xticks = ['' for y in xticks]\n",
" xticks[::int(len(xticks)/10)] = keptticks\n",
"\n",
" sns.heatmap(data, ax=ax[0], yticklabels=yticks, xticklabels=xticks)\n",
" sns.heatmap(norm_data, ax=ax[1], yticklabels=yticks, xticklabels=xticks)\n",
" \n",
" #This sets the yticks \"upright\" with 0, as opposed to sideways with 90.\n",
" plt.yticks(rotation=0) \n",
"\n",
" plt.show()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 4
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def plot_freqHeatmap2(data):\n",
" \n",
" fig, ax = plt.subplots(1, 1, figsize=(16, 10), sharey=True)\n",
" ax.set_title('Normalized Station over rank frequency')\n",
" \n",
" yticks = data.index\n",
" keptticks = yticks[::int(len(yticks)/10)]\n",
" yticks = ['' for y in yticks]\n",
" yticks[::int(len(yticks)/10)] = keptticks\n",
" \n",
" xticks = data.columns\n",
" keptticks = xticks[::int(len(xticks)/10)]\n",
" xticks = ['' for y in xticks]\n",
" xticks[::int(len(xticks)/10)] = keptticks\n",
"\n",
" sns.heatmap(data, ax=ax, yticklabels=yticks, xticklabels=xticks)\n",
" \n",
" #This sets the yticks \"upright\" with 0, as opposed to sideways with 90.\n",
" plt.yticks(rotation=0) \n",
"\n",
" plt.show()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 5
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def frequencyRank(column):\n",
" return column.value_counts()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 6
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def load_daytrips():\n",
" path = r'D:\\ownCloud\\Documentos posgrado\\Posgrado 2do semestre\\Seminario investigacion\\Experimental Data\\Cd Mex\\Movilidad\\Hist Ecobici\\ecobici.csv'\n",
" trips = pd.read_csv(path,\n",
" parse_dates=['date_removed', 'date_arrived'],\n",
" infer_datetime_format=True)\n",
" \n",
" trips = trips.loc[trips['action'] != 'C ']\n",
"\n",
" # Find the start date\n",
" ind = pd.DatetimeIndex(trips.date_arrived)\n",
" trips['date'] = ind.date.astype('datetime64')\n",
" trips['hour'] = ind.hour\n",
"\n",
" # Count trips by date\n",
" by_date = trips.pivot_table('bike',aggfunc='count',\n",
" index='date',\n",
" columns='station_arrived', )\n",
"\n",
" # add a flag indicating weekend\n",
" by_date['weekend'] = (by_date.index.dayofweek >= 5)\n",
" \n",
" by_date_weekday = by_date[by_date['weekend'] == False]\n",
"\n",
" mavg_wd = by_date_weekday.sum(axis=1).rolling(window=20,center=False).mean()\n",
" mstd_wd = by_date_weekday.sum(axis=1).rolling(window=20,center=False).std()\n",
"\n",
" black_list = by_date_weekday.sum(axis=1)[by_date_weekday.sum(axis=1) <= mavg_wd-2*mstd_wd].index\n",
"\n",
" by_date_weekend = by_date[by_date['weekend'] == True]\n",
"\n",
" mavg_we = by_date_weekend.sum(axis=1).rolling(window=20,center=False).mean()\n",
" mstd_we = by_date_weekend.sum(axis=1).rolling(window=20,center=False).std()\n",
"\n",
" black_list = black_list.union(by_date_weekend.sum(axis=1)[by_date_weekend.sum(axis=1) <= mavg_we-2*mstd_we].index)\n",
" \n",
" # remove those values on the blacklist\n",
" by_date = by_date.fillna(0)\n",
" by_date = by_date.loc[~by_date.index.isin(black_list)]\n",
" \n",
" return by_date"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 7
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"station_phase_path = r'C:\\Users\\ghost\\Google Drive\\JairCastruitaGastelum\\Progress Reports\\Clustering_ECOBICI\\DATA\\ecobiciFases.csv'\n",
"\n",
"station_phase = pd.read_csv(station_phase_path,header=None)\n",
"station_phase.columns = ['station','phase']"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 8
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Como se ha estado realizando en repetidas ocasiones, es de particular inter\u00e9s realizar este an\u00e1lisis sobre las diferentes fases por las que ha pasado Ecobici a lo largo de todo este periodo, es por eso que este an\u00e1lisis se realizar\u00e1 por fases como se ha estado realizando en los experimentos anteriores.\n",
"\n",
"Se carga el archivo que mantiene el registro de actividad en las estaciones y se realiza una transformaci\u00f3n para que quede a modo de conteos. Antes de realizar dicho an\u00e1lisis que de nueva cuenta se realizar\u00e1 la limpieza de los datos, deshaci\u00e9ndose de los d\u00edas con una actividad sospechosamente baja, despu\u00e9s se eliminan las estaciones que no hayan formado parte en el periodo que comprende de la primera fase. Finalmente, recortamos los periodos posteriores a la apertura de la segunda y tercer fase. M\u00e1s adelante se realizar\u00e1 un an\u00e1lisis sobre estos periodos por separado."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"by_date = load_daytrips()\n",
"by_date.drop([col for col in list(by_date.columns.values) if col >= 91], axis=1, inplace=True)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stderr",
"text": [
"C:\\Users\\ghost\\AppData\\Local\\Enthought\\Canopy\\App\\appdata\\canopy-1.5.2.2785.win-x86_64\\lib\\site-packages\\IPython\\core\\interactiveshell.py:2827: DtypeWarning: Columns (0,1) have mixed types. Specify dtype option on import or set low_memory=False.\n",
" if self.run_code(code):\n"
]
}
],
"prompt_number": 9
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"phase_1 = by_date['2010-02-20':'2012-10-29']\n",
"dr = get_dr(phase_1)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 10
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"a1 = dr.apply(frequencyRank, axis=0).fillna(0)\n",
"a1.index = phase_1.columns\n",
"plot_freqHeatmap(a1)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
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N3R469yVmK+3jvvUFJC0mVl1b/xyqb3PH02d7eKv6rCuGlrFrwwFEwuej7V6v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RNUiXorK83OL1Rly9UnVZOYNYsep7NEldaa2XtXyEPvP1f1mKj97Q/pmJvj+mXS6XTCFVdc0a8d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\nDm8XT+kfRD/PH/4sK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"text": [
"<matplotlib.figure.Figure at 0x759a1f98>"
]
}
],
"prompt_number": 11
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Una vez con la matriz de datos construida, donde cada fila representa una estaci\u00f3n, cada columna un lugar en el rango y las celdas el n\u00famero de veces que esa estaci\u00f3n fue situada en ese rango (para la imagen derecha las columnas fueron normalizadas entre los valores de sus columnas y los valores oscilan entre 0 y 1). Se realizar\u00e1 una serie de pasos adicionales en esta ocasi\u00f3n: una vez obtenida la matriz con las frecuencias de aparici\u00f3n en los rangos se agregan un conjunto de caracter\u00edsticas extra para aportar un poco m\u00e1s de informaci\u00f3n a cada estaci\u00f3n observada. Este nuevo vector que ser\u00e1 concatenado a cada estaci\u00f3n consta de un vector de 18 puntos los cuales representan lo siguiente:\n",
"- Cementerio\n",
"- Centro comercial\n",
"- Centro de asistencia m\u00e9dica\n",
"- Edificaci\u00f3n\n",
"- Escuela Estaci\u00f3n del metro\n",
"- Faro/Radiofaro/Vor\n",
"- Instalaci\u00f3n deportiva o recreativa\n",
"- Instalaci\u00f3n diversa\n",
"- Instalaci\u00f3n de comunicaci\u00f3n\n",
"- Mercado\n",
"- Palacio de gobierno\n",
"- Plaza\n",
"- Pozo\n",
"- Rasgo arqueol\u00f3gico\n",
"- Tanque\n",
"- Tanque de agua\n",
"- Templo\n",
"\n",
"El valor de cada una de las caracter\u00edsticas representa la distancia m\u00e1s cercana que existe entre una estaci\u00f3n de Ecobici y dicho punto. Esta informaci\u00f3n fue obtenida a partir de archivos AGEB que ofrece INEGI desde su p\u00e1gina oficial, informaci\u00f3n actualizada hasta el a\u00f1o 2015.\n",
"\n",
"Despu\u00e9s de unir cada vector con su respectiva estaci\u00f3n se procede a realizar una normalizaci\u00f3n sobre las columnas de cada caracter\u00edstica. Esto debido a que se utilizar\u00e1 m\u00e1s adelante."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"points = pd.read_csv(r'C:\\Users\\ghost\\Desktop\\pruebas\\ECOBICI_data\\distancias_estacion_punto.csv')\n",
"#a = points.groupby(['estacion','punto']).min()\n",
"#b = a.unstack()[:90]"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 33
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#b.head()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 13
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#res = pd.concat([a1,b],axis=1)\n",
"norm_res = normalizeColumns(a1)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 14
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"norm_res.head()"
],
"language": "python",
"metadata": {},
"outputs": [
{
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" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>0</th>\n",
" <th>1</th>\n",
" <th>2</th>\n",
" <th>3</th>\n",
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" <th>station_arrived</th>\n",
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" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
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" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
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" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0.248344</td>\n",
" <td>0.536364</td>\n",
" <td>0.759804</td>\n",
" <td>1.000000</td>\n",
" <td>0.688172</td>\n",
" <td>0.938776</td>\n",
" <td>0.556818</td>\n",
" <td>0.278351</td>\n",
" <td>0.232558</td>\n",
" <td>0.178082</td>\n",
" <td>...</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.049057</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.014706</td>\n",
" <td>0.005587</td>\n",
" <td>0.000000</td>\n",
" <td>0.040816</td>\n",
" <td>0.022727</td>\n",
" <td>0.030928</td>\n",
" <td>0.058140</td>\n",
" <td>0.054795</td>\n",
" <td>...</td>\n",
" <td>0.037736</td>\n",
" <td>0.017857</td>\n",
" <td>0.016393</td>\n",
" <td>0.03125</td>\n",
" <td>0.028986</td>\n",
" <td>0.000000</td>\n",
" <td>0.013699</td>\n",
" <td>0.030864</td>\n",
" <td>0.010949</td>\n",
" <td>0.026415</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.004902</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.011628</td>\n",
" <td>0.013699</td>\n",
" <td>...</td>\n",
" <td>0.509434</td>\n",
" <td>0.357143</td>\n",
" <td>0.475410</td>\n",
" <td>0.40625</td>\n",
" <td>0.507246</td>\n",
" <td>0.206612</td>\n",
" <td>0.082192</td>\n",
" <td>0.117284</td>\n",
" <td>0.047445</td>\n",
" <td>0.018868</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.027397</td>\n",
" <td>...</td>\n",
" <td>0.018868</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <tr>\n",
" <th>5</th>\n",
" <td>0.003311</td>\n",
" <td>0.009091</td>\n",
" <td>0.004902</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010204</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.013699</td>\n",
" <td>...</td>\n",
" <td>0.471698</td>\n",
" <td>0.321429</td>\n",
" <td>0.229508</td>\n",
" <td>0.06250</td>\n",
" <td>0.130435</td>\n",
" <td>0.074380</td>\n",
" <td>0.054795</td>\n",
" <td>0.043210</td>\n",
" <td>0.025547</td>\n",
" <td>0.015094</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows \u00d7 90 columns</p>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 15,
"text": [
" 0 1 2 3 4 5 \\\n",
"station_arrived \n",
"1 0.248344 0.536364 0.759804 1.000000 0.688172 0.938776 \n",
"2 0.000000 0.000000 0.014706 0.005587 0.000000 0.040816 \n",
"3 0.000000 0.000000 0.004902 0.000000 0.000000 0.000000 \n",
"4 0.000000 0.000000 0.000000 0.005587 0.000000 0.010204 \n",
"5 0.003311 0.009091 0.004902 0.000000 0.000000 0.010204 \n",
"\n",
" 6 7 8 9 ... 80 \\\n",
"station_arrived ... \n",
"1 0.556818 0.278351 0.232558 0.178082 ... 0.000000 \n",
"2 0.022727 0.030928 0.058140 0.054795 ... 0.037736 \n",
"3 0.000000 0.000000 0.011628 0.013699 ... 0.509434 \n",
"4 0.011364 0.000000 0.000000 0.027397 ... 0.018868 \n",
"5 0.000000 0.000000 0.000000 0.013699 ... 0.471698 \n",
"\n",
" 81 82 83 84 85 86 \\\n",
"station_arrived \n",
"1 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 \n",
"2 0.017857 0.016393 0.03125 0.028986 0.000000 0.013699 \n",
"3 0.357143 0.475410 0.40625 0.507246 0.206612 0.082192 \n",
"4 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 \n",
"5 0.321429 0.229508 0.06250 0.130435 0.074380 0.054795 \n",
"\n",
" 87 88 89 \n",
"station_arrived \n",
"1 0.000000 0.000000 0.049057 \n",
"2 0.030864 0.010949 0.026415 \n",
"3 0.117284 0.047445 0.018868 \n",
"4 0.000000 0.000000 0.000000 \n",
"5 0.043210 0.025547 0.015094 \n",
"\n",
"[5 rows x 90 columns]"
]
}
],
"prompt_number": 15
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Dejando al final un conjunto de 108 caracter\u00edsticas para cada estaci\u00f3n observada. Los siguiente que se propone en este experimento es el plantear un m\u00e9todo para encontrar similitudes entre los conjuntos de datos de las estaciones mediante t\u00e9cnicas de clustering."
]
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Consensus clustering"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Una de las ramas del aprendizaje automatizado es el aprendizaje no supervisado, \u00e9ste consiste en buscar una relaci\u00f3n entre las observaciones que se tienen estableciendo una medida similitud entre sus caracter\u00edsticas representativas para dicho conjunto.\n",
"El problema impl\u00edcito que se tiene cuando se est\u00e1 trabajando con este tipo de t\u00e9cnicas es que, a diferencia de las que tienen un objetivo o un resultado esperado, estas no disponen de una etiqueta para catalogar y/o evaluar la calidad del clustering realizado. Diferentes t\u00e9cnicas de clustering se han desarrollado para abordar este problema, tales como medir la compacidad de los clusters minimizando la distancia de los elementos agrupados un mismo cluster maximizando la distancia entre las agrupaciones.\n",
"Otro problema que se sucita al realizar esta t\u00e9cnica es el determinar el n\u00famero de clusters ideal, evitando un n\u00famero de clusters mayor que puedan aportar una estructura espuria para el modelo.\n",
"\n",
"En este problema en particular tenemos que trabajar con una dificultad extra: Se dispone de un conjunto de datos un alto grado de dimensionalidad (108) caracter\u00edsticas y un bajo n\u00famero de observaciones (90), dicha descripci\u00f3n del problema pone en riesgo a la mayor\u00eda de m\u00e9todos de clustering convencionales de ofrecer descripciones espurias sobre los datos.\n",
"\n",
"El m\u00e9todo de clustering por el que se ha optado aqu\u00ed es llamado Consensus Clustering (Monti et al.). Consensus clustering es un m\u00e9todo de clusterizaci\u00f3n que ha ganado popularidad en el campo de gen\u00e9tica debido a la robustez que ha mostrado en agrupaciones con alta dimensionalidad. Este m\u00e9todo consiste en el submuestreo de tanto las observaciones como las caracter\u00edsticas, sobre la hip\u00f3tesis de que los elementos que comparten una similitud entre ellos no deben encontrar una radical diferencia si se reemplazan unas caracter\u00edsticas por otras. Este m\u00e9todo cuenta con una m\u00e9trica de medici\u00f3n de calidad de clustering y decisi\u00f3n del n\u00famero ideal de clusters a partir de una matriz generada durante la iteraci\u00f3n de submuestreo llamada \"Matriz de consenso\", \u00e9sta genera visualizaciones que ilustran el nivel de consenso que existe cuando un elemento es agrupado con un conjunto en particular, donde el consenso es una divisi\u00f3n de la suma del n\u00famero de veces que dos elementos fueron agrupados juntos entre el n\u00famero de veces en que ambos elementos se encontraban presentes en el mismo submuestreo.\n",
"El resultado es un heatmap donde en el caso ideal los valores solo se representar\u00edan entre 0's (nunca agrupados juntos) y 1's (siempre agrupados juntos). Para m\u00e1s informaci\u00f3n consultar el art\u00edculo relacionado."
]
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"Especificaciones sobre el clustering:"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"El siguiente consensus clustering fue realizado con las siguientes especificaciones:\n",
"- Iteraci\u00f3n de 2 a 20 clusters.\n",
"- 1000 iteraciones de submuestreo.\n",
"- 80% de las observaciones seleccionadas (sin reemplazo, esto para asegurar que no se generen agrupaciones sesgadas).\n",
"- 80% de las caracteristicas submuestreadas.\n",
"- Clustering jer\u00e1rquico como m\u00e9todo de clustering (Average linkage).\n",
"- Distancia Euclideana como medida de disimilaridad.\n",
"\n",
"A diferencia de otras t\u00e9cnicas de clustering que existen, clustering jer\u00e1rquico es afectado en gran parte por la diferencia en las medidas de sus caracter\u00edsticas, es en parte por eso que se opt\u00f3 en la normalizaci\u00f3n de cada caracter\u00edstica del conjunto de datos, as\u00ed las medidas de similitud est\u00e1n representadas a una escala mejor distribuida.\n",
"\n",
"Consensus clustering tiene tiene ciertos criterios para determinar el n\u00famero ideal de clusters a utilizar, tales como CDF (Cumulative Density Function) y el aumento de \u00e1rea relativo obtenido por las diferencias de las CDF de los clusters k al k+1. En este caso en particular a continuaci\u00f3n se ofrecen las ilustraci\u00f3nes:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from IPython.display import Image\n",
"Image(filename=r'C:\\Users\\ghost\\Desktop\\pruebas\\ECOBICI_data\\consensus cluster datos limpios\\phase1\\consensus014.png') "
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
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"prompt_number": 16,
"text": [
"<IPython.core.display.Image at 0x379f6588>"
]
}
],
"prompt_number": 16
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"Image(filename=r'C:\\Users\\ghost\\Desktop\\pruebas\\ECOBICI_data\\consensus cluster datos limpios\\phase1\\consensus015.png') "
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"png": 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"text": [
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"prompt_number": 17
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"Image(filename=r'C:\\Users\\ghost\\Desktop\\pruebas\\ECOBICI_data\\consensus cluster datos limpios\\phase1\\consensus016.png') "
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
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"prompt_number": 18,
"text": [
"<IPython.core.display.Image at 0x379f6240>"
]
}
],
"prompt_number": 18
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Tracking plot es una graficaci\u00f3n que muestra los puntos en el muestreo contra los n\u00fameros diferentes de cluster que se realizaron en las iteraciones. Sirve como un apoyo visual para llevar un historial de cuantas veces un punto en particular pas\u00f3 de formar parte de un cluster a otro. Un punto con diferentes colores de longitudes similares muestra que esa caracter\u00edstica en particular muestra una pertenencia muy d\u00e9bil a un cluster en particular. Una gr\u00e1fica que contenga n\u00famerosas columnas con diferentes colores muestra un clustering demasiado inestable."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Bajo los criterios mencionados en el art\u00edculo, el n\u00famero de clusters ideal para seleccionar es aquel donde el CDF alcance una estabilidad y el incremento relativo en el \u00e1rea sea cercano a 0. Los datos una agrupaci\u00f3n que ofrecen un aumento gradual en su CDF a medida de que va aumentando el n\u00famero de clusters hacen notar la debilidad de pertenencia que existe en los puntos con respecto a un grupo en particular.\n",
"\n",
"Bajo los criterios recomendados se ha decidido hacer un an\u00e1lisis sobre K = 3 y K = 6, ya que K = 3 ofrece el aumento m\u00e1s alto en el \u00e1rea debajo de la CDF y K = 6 es el segundo aumento de mayor proporci\u00f3n m\u00e1s acercado a 0 y alcanza una estabilidad en su comportamiento en la CDF."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"Image(filename=r'C:\\Users\\ghost\\Desktop\\pruebas\\ECOBICI_data\\consensus cluster datos limpios\\phase1\\consensus003.png') "
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"png": 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"prompt_number": 19,
"text": [
"<IPython.core.display.Image at 0x379f6550>"
]
}
],
"prompt_number": 19
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"palette_3 = ['#B2DF8A','#1F78B4','#A6CEE3']\n",
"palette_6 = ['#FB9A99','#1F78B4','#E31A1C','#A6CEE3','#33A02C','#B2DF8A']"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 20
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"k_3 = pd.read_csv(r'C:\\Users\\ghost\\Desktop\\pruebas\\ECOBICI_data\\consensus cluster datos limpios\\clases_3_phase1.csv')\n",
"k_6 = pd.read_csv(r'C:\\Users\\ghost\\Desktop\\pruebas\\ECOBICI_data\\consensus cluster datos limpios\\clases_6_phase1.csv')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 21
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"coors = pd.read_csv('C:\\Users\\ghost\\Google Drive\\JairCastruitaGastelum\\Progress Reports\\Clustering_ECOBICI\\DATA\\estacion_coordenadas.csv')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 22
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#create empty map zoomed in on Mexico City\n",
"CDMX_COORDINATES = (19.4186, -99.1686) "
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 23
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import folium \n",
"\n",
"map = folium.Map(location=CDMX_COORDINATES, tiles='Stamen Toner', zoom_start=14)\n",
"\n",
"for i in coors.iterrows():\n",
" if 'X'+str(int(i[1][0])) in k_3.transpose():\n",
" folium.RegularPolygonMarker(\n",
" [i[1][2], i[1][1]],\n",
" popup=str(int(i[1][0])),\n",
" fill_color=palette_3[k_3.transpose()['X'+str(int(i[1][0]))][0] - 1],\n",
" number_of_sides=6,\n",
" radius=10\n",
" ).add_to(map)\n",
" \n",
"map"
],
"language": "python",
"metadata": {},
"outputs": [
{
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            <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
        
            
        
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            <script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.1/jquery.min.js"></script>
        
        
        
            
        
            <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
        
        
        
            
        
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            <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/0.4.0/leaflet.markercluster-src.js"></script>
        
        
        
            
        
            <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/0.4.0/leaflet.markercluster.js"></script>
        
        
        
            
        
            <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet/0.7.3/leaflet.css" />
        
        
        
            
        
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            <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css" />
        
        
        
            
        
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            <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/0.4.0/MarkerCluster.Default.css" />
        
        
        
            
        
            <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/0.4.0/MarkerCluster.css" />
        
        
        
            
        
            <link rel="stylesheet" href="https://raw.githubusercontent.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css" />
        
        
        
            
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                height: 100%;
                margin: 0;
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                left: 0.0%;
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                                           center:[19.4186,-99.1686],
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                                           maxBounds: bounds,
                                           layers: [],
                                           crs: L.CRS.EPSG3857
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                    maxZoom: 18,
                    minZoom: 1,
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                    color: 'black',
                    opacity: 1,
                    weight: 2,
                    fillColor: '#B2DF8A',
                    fillOpacity: 1,
                    numberOfSides: 6,
                    rotation: 0,
                    radius: 10
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                popup_307c00f1dcd2470da483a9d0f72c1e64.setContent(html_957e5b59bf574d7ba640a192789db88b);
            

            regular_polygon_marker_70702b8937354e5b9c303be9ee599eb1.bindPopup(popup_307c00f1dcd2470da483a9d0f72c1e64);

            
        
        
            
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                new L.LatLng(19.43159,-99.17151),
                {
                    icon : new L.Icon.Default(),
                    color: 'black',
                    opacity: 1,
                    weight: 2,
                    fillColor: '#1F78B4',
                    fillOpacity: 1,
                    numberOfSides: 6,
                    rotation: 0,
                    radius: 10
                    }
                )
                .addTo(map_f090b6c9722b4d78b4b9536ddcf70db5);
            
        
            
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                var html_dcaec2e1554a4fe7ba6adee5a4a9c3ae = $('         <div id="html_dcaec2e1554a4fe7ba6adee5a4a9c3ae"                 style="width: 100.0%; height: 100.0%;">                 2</div>                 ')[0];
                popup_5a670c34ccf4435fb9c67c2d0325605f.setContent(html_dcaec2e1554a4fe7ba6adee5a4a9c3ae);
            

            regular_polygon_marker_c2f049353de7427d97a27c69d1539e2b.bindPopup(popup_5a670c34ccf4435fb9c67c2d0325605f);

            
        
        
            
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                {
                    icon : new L.Icon.Default(),
                    color: 'black',
                    opacity: 1,
                    weight: 2,
                    fillColor: '#A6CEE3',
                    fillOpacity: 1,
                    numberOfSides: 6,
                    rotation: 0,
                    radius: 10
                    }
                )
                .addTo(map_f090b6c9722b4d78b4b9536ddcf70db5);
            
        
            
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                popup_f9976c91d14e43ae827501bc47ed5992.setContent(html_c418635961bb421bab64542ec22538dc);
            

            regular_polygon_marker_a5e8bd02654a46a28e2bdfa7bb2420d5.bindPopup(popup_f9976c91d14e43ae827501bc47ed5992);

            
        
        
            
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                new L.LatLng(19.42849,-99.17169),
                {
                    icon : new L.Icon.Default(),
                    color: 'black',
                    opacity: 1,
                    weight: 2,
                    fillColor: '#1F78B4',
                    fillOpacity: 1,
                    numberOfSides: 6,
                    rotation: 0,
                    radius: 10
                    }
                )
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],
"metadata": {},
"output_type": "pyout",
"prompt_number": 24,
"text": [
"<folium.folium.Map at 0x379f1ba8>"
]
}
],
"prompt_number": 24
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"norm_res['cluster'] = k_3.values\n",
"temp_res = norm_res.sort_values(['cluster'])\n",
"#sns.heatmap(temp_res[temp_res.columns.difference(['cluster'])])\n",
"plot_freqHeatmap2(temp_res[temp_res.columns.difference(['cluster'])])"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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TT4f5uNP662ZWF/78vDUDPx/GlpcFc5XOvTUwz5s8FubRgA/mwdY2mDuPaN46lrAX7+CW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\nzHXk4WtWz/5+mLuUY8+Rh4/dwy8bN2GWz8RNiF2bjsC8ZBY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TERERERF9ksCbqyeeeEJW\nrVol99xzz4f+fffu3SLyx6ILIiIiIiKisdBKoyY6eHM1hiLBzEuxRUV7DUmloUZt3LPhh3/REdxM\nFbcbNwjF/LjpMObH6+ZuqIF5sBO3go0ex3X7rhIvzDWxgNZehNuJ4iHcLLX/1YMwz3Hj1rS8SjfM\no0G9wQfaa7z8kQ7c/ORUGuUGBnAzldYW6PTi/I0tx2H+j9cvh3nwJdxmuGABbj3buxsfm22DuM3v\nn/7vmzD/l7PPhXn3gB/mPSM433PM+OuuyxbVw2kjSkvlrj29MHfZcdPi9LIymDdOw59asClNjpfF\ncRvgYaXxrbEqH+Z5oLFNRGTWnFKYtx/F517z6Q0wLyjtMcz8w3jM61daOE+YgvfN/H+YBnOTBX/N\nuk1pklz62Zkwt3nwmJnXgpsWtetlUmlJrZlej+evNeop1xSzcu7YC4wb9+x5eN5Rn9JiqbT7xnz4\n/YJ3WjPMg124pEz7mJO2fsk4vl6abXjb2rz4vNek2hytrR+kvZdWbjRSWjZ9LOD5cumll4qISFVV\nlVx00UUfyh555JHMrRUREREREU06k/zBFb65+u///m8ZHR2Vxx9/XNrb2z/493g8Lr///e/li1/8\nYsZXkIiIiIiIaCKAnxGoq6v7u/9ut9vlBz/4QUZWiIiIiIiIJieTyZTV/7INPrlatmyZLFu2TM45\n5xxpamr6UBZSvotERERERET0STKmKvaDBw/KNddcI4FAQJLJpCQSCQmHw7Ju3bpMrx8REREREU0S\nn+jvXP3ZD3/4Q/n+978vv/zlL+Wqq66St99+W3JzcetPusQjuF0p1NUFc4sTN9gkolqDDd5EoZ4B\nmIsZH0GoA8bixK1XCaU5KR7B7UTa9PY8F55e2Xb2fNwcFRlOrb1Haz+qPIob5Zz5OTCPKm2G5afi\n5qzR1naYR0aMG/28VbiJMTKK181ms8C8qLEQ5gmlke6SC2fBXDPllFqYD7T2w7yiFI8/y790DswX\n/wY3aU6dXQLzKQHcMqo15jk9xuPScJcPTpvnxmOaL4DP+0+dh8+bBx56D+a97Xj9Sqpwy2eb8vqO\n9eOmR614a3ZOMcyfevEwzD+9ogXmrz2+A+bVoGW0tNa4TU5EZKADbxtN945OmOdV4n1TNb8a5vEg\nPu4dxXjbt730Lszd1QUwD/XjRr3cerz+wR7cROksxvtHEw8Zj8uBDtziaffi61F4AI+JVg+ePqG8\nl9LE/Hjbayem1YuvaYHj+HqpNTfHw/j1WXPw9okF8PsRs9X4vaDFha9HyQS+nmptgCYTbvmk8WdM\ne8zr9crJJ58sc+fOFZ/PJ1dffbW8/PLLmV43IiIiIiKiCWNMN1dOp1NaW1ulqalJNm7cKJFIRPr6\n8FMBIiIiIiKiT5Ix3Vx94xvfkLvuukuWLVsm69evl8WLF8vy5fhHQomIiIiIiD5JxvSdq4KCAvnP\n//xPERH57W9/K8PDw9La2prRFSMiIiIioklmkjdawJurzZs3SyKRkBtuuEFuu+02Sf7pC4uxWExu\nvvlmefHFF7OykkREREREROMdvLlat26dbNy4UXp6euTuu++WZDIpJpNJrFarrFq1KisraHHgxrzc\nuno8A61aSpGI4uYteyFuR0rGcbtSImqcaw0yWhNhMobb/CxOO8xjAdzO07e3G+aecty+Y8vFrWeB\nTqWJUfnLx5HtPTBvmFcG8yGlucvfuwXm/Z24XcmVa7z9164/AqddMK0c5oXFuOnx8Hu4mSkQwMdO\nfgE+L6OhNphvfx+3fDrsuO1w0yHcihaNJWD+xs6jMC8swtvva794COZfPGEZzIeDxs1WF56J2+p2\nHcetYysWNcD8jZdwW16xG7dqvbMNHzst/biJMhDBx9YlK2bAvKNtBOZ1c/G5IVuOwTivHDfqLSrE\nx0bfMeP16zmGmxBnrJwG86FDeEyzOvCHUQpm1uP578bnhXbNifrwvslvroB5ZBCPmTmluM0v5sPT\nx4JKg24EX6+1Rr5Qr/E1K29aI5xWW3eLC4+58SC+XsdG8fXMUVgEc7NdaV5W2ggDx/A1IacWNz3G\nfMr6F+CmSRNo+xMRMdvw+6Fkwvi9JGoS/OPClfdyn0Afxw/7ZhP8ztXVV18tDz30kHzlK1+RZcuW\nyc9//nOxWq2ya9cuqayszNY6EhERERERjXtjKrR44403ZNasWfLSSy+J0+mUp59+Wn72s59let2I\niIiIiGgSMZmy+1+2jenmKpFIyMKFC2Xt2rVy9tlnS0VFhcTj+EfRiIiIiIiIPknGdHPlcrnkF7/4\nhWzYsEGWLVsmv/rVryQ3F/8iNRERERER0V8zmU1Z/S/bxnRz9R//8R8SCATk7rvvlry8POnr65Mf\n/ehHmV43IiIiIiKiCWNMv3NVVlYmq1ev/uB/X3vttRlbob+htf1pH6ZM9cOWpjHdf35kqIEnOjQI\np7Xm4OaieAi3B9m8uBXLZMWNbaV23IATGcZtgfYCN8yDXfj1+1pxW+GoHzdDaaJh/NHXbVtx492S\nFU3K/I1b05adUg+nHRlU9q0D77s3N+LGNJsFT18yhI+95mbcGKe1AR7qHIJ5bRFuDTumND2eNLUK\n5nZl+31uzhkwb6rEzVWRqPGx1aWs+8yaEphraivxeV8Vx+dl3VT82mwuPC68/xhu2dy/vx/mTU14\n+fEQbiOsUY4db2MpzI+8cQDmFS3GrWuOfHze9O/FY0phM143sw1f0lGbnYhIDIxJIiJWZd8mwnjM\ntebi1z+0H7eAeutwY532+iIjuNGuZCEeF8KD+JqEjB7GY24CjAkiItZc3Bao/XUetd2JiMT8+Hqt\nMSnHntYGaLbitj6LC7d0Bjvx+wGrB3/aSmtbtIM2Qm3d9DZBvO+0JkYREfHitkfKrszeORARERER\nEX1C8OaKiIiIiIgoDcb0sUAiIiIiIqJUTfLfEOaTKyIiIiIionTgkysiIiIiIsoK0yR/dMUnV0RE\nRERERGkw/p9caXe3SlV7MoHrTU1mXLlssuD7z3gY13emcneejCdgHhnEddWJSBTmFheudh3cfRzm\n2ra3u/H8/W24ctlVhiuT+3Z1wNxmw/v2xaf3wryiGFe3PrdzN8yL8nE9695jxq+/xIsri7uH/TAf\n2YKrW3d24317St0UmHcM4Lrw2TllMH9y03aYl+R6Ye4O4ErmXDuu9e3z4WPDopz3cxpxHfrmA7hS\nu67Y+Ni2K8etVmM/MBCEudOJh/36abjSt+fYMMw1fqVW+ISTcB12VKlatyivb84sXGd+fN0hmEeU\nn2jwNhjPPxYcQ6UyYHXh496So9V142Mnbxo+74d27od51DcKc3shrtGvOGMezNFPl4joldWuSjwu\nafN3luLp7fn5hpnNg69nmkQUX8+jI/j9gKMIj1kxP9532rZJldmGa/5F8DXRM3Vq+lbm70DvJbXz\nKlWZ3vYfh0n+4IpProiIiIiIiNJh/D+5IiIiIiKiSYHfuSIiIiIiIiIVb66IiIiIiIjSgDdXRERE\nREREaTDpv3NlsqT2Ek0m3AJjdeFGuVS4KnFrliY2OgJzqxs3suVU1+D5K+1CybjS6qVsu0QYt565\nKnDrlysftwGeOh2/vrjS7HXm6qUw9x3GbYaLSxYYZmYbPm5DvbixLepXWsmUjzsnorgRzaw02uWU\n41aw1b2nwLx6ejHMt76N2w4rKtwwN5nxBsgvxc1UkQBu7tLaAvM8xu1Pwz6876Y24m370oZWmDdX\n4DbAV9/fAvOE0hJ6xqxamK89vBnmlc/jcalzBDdVvnZoE8z/ZfkFMG/txq1r8YTSkuowPjeee/0g\nnPa0OdUw37mpEy/bhv9eOusUPP9X1/wB5ouX4H3bdRRfc+rn4DF7tC8A8wN7+mDePBM34nnK8Lig\nNfTGwvialgTHRvEsvO3NDtxw6juMxxRNPLoP5q4ivG1c5XjcsObiMdNkwdeM0dYemDuKC/Hyc/Dy\nNdERfOzavMbjktmG9x06LsYiGcfXm4lokn/lik+uiIiIiIiI0oE3V0RERERE9ImUTCbl3/7t3+TS\nSy+VK664Qo4f//ufjrnpppvkxz/+sTo/3lwREREREVFWmEymrP6neeWVVyQSicjjjz8u1157rdx+\n++1/8/95/PHHZf9+/EPqf8abKyIiIiIi+kTavHmzLFmyRERE5s6dKzt37vxQ/v7778uOHTvk0ksv\nHdP8MlpoEYvF5F//9V+lvb1dotGoXHXVVVJfXy833HCDmEwmqa+vl9tuuy2Tq0BEREREROPFOHu0\nMzo6Kh6P54P/bbVaJZFIiNlslt7eXrnnnnvk3nvvleeff35M88vozdWzzz4rBQUFcscdd8jw8LBc\neOGFMn/+fLnqqqvk9NNPl29961vy+uuvy9KlSzO3EkqzVaYrS5IJ3LqWiBq3wFgcTjhtPByCucWF\n23OCXbjNTmvfifpwW2AijFvPfEf2wDw0jNsC8+pwe5FfaZ5qexK3lm3a2Q3zT62cCvPXXzkM86pS\n43amiiqPYSYi0n4cNxs9vWk3zBsKcRuf12XcZici8uK+HTD/6umLYf74hq0wn76pAubP7H4H5v95\n+Rdg/trmozCf21AG8yktuLlq0bRKmHu9xu1SuTk2OK3NgYftL35uHsztubjZav4QbinVGtVsLrz+\nd+Z8HuZF5bhF1JWPx8WvmU+FeVK5JvzDyWfDfPQIbuyzOI1f/+plzXBa7XoUHsBNidq+cRTiceW8\ny/CYj16biEhRCz5vcuvweTH0u40wX776dJjHA/iaGB7E1yx3PR53fIfaYT7aZTwum+1428V8+Hpl\n8+DjXvvoU7Afv/Z4GDfS+dtwm9/g4X6YV57cBHON78AxmFtceFzLrcXjmsn60d8Oa22AZm3eyr5L\nWsbZncgk5Ha7xe/3f/C//3xjJSLywgsvyNDQkHz1q1+V3t5eCYfD0tjYKBdeeKHh/DJ6c3XOOefI\nypUrP1hRi8UidrtdhoaGJJlMit/vF2sKBzQREREREU0cY/keVDbNnz9f1q5dKytXrpStW7dKc/Nf\n/hB2+eWXy+WXXy4iIk899ZS0trbCGyuRDN9cuVwuEfnj47avf/3r8s1vflPq6+vly1/+stx3333i\n8Xhk0aJFmVwFIiIiIiKiv2vFihXyzjvvfPCdqttvv13WrFkjwWBQLrnkkv/x/DL+2Kizs1NWr14t\nl112mZx77rly3nnnyaOPPipNTU3yyCOPyA9+8AO56aabMr0aREREREREH2IymeSWW2750L81NDT8\nzf/voosuGtP8MvpBzr6+Prnyyivl29/+9gcrFAwGxe3+43dNysrKZET5VWwiIiIiIqKJIKNPru6/\n/34ZGRmRe++9V37yk5+IyWSSm266Sa6++mpxOBxit9vl1ltvzeQqEBERERHRODHOvnKVdqakVp30\nMYuM4AYaVaovT2txUdoAU6E1P5nMeN3iEdzWZ7bidh1NQpm/KOunLT/qG4Z5MhaDueVP3/kzEhka\ngrmzFDdfaV/IHG09AvNExHj97QVeOG14AG8bV0UpzGM+3DpmduC2QNRyKSJideFmK38bbmKMB/H8\nI3587O3fiFu9ipVGuuJG3AaYU5oH8x1rcFvjlJOqDTNHPm5sa9/SBvPcArztQ74IzIuacAvnwfW4\ntWvLbrxv68rxttOaGLW2wHgUj5uvvnwQ5rkO3Oo2exY+t9ZvMj72ygvxcdfehxvdir14TBscxW15\ntWW4LbC7HzfWvX4Ab7vLlpwAc7sNf1jm7hfehvl3Lj4T5gP9uGF295E+mB8fxNcEj9Lge9b8esNs\ny158Xpy2sAbmkRC+3sWU47640ridVkSkoC4f5v5eP8wjATxml07H11NnKV5+qEfZN1Pw9tPajV0V\nuCkStTcn43jfmCyZL26ze/G4Pd5sufPBrC5v/jVXZHV57HckIiIiIiJKA/agExERERFRVoy3KvZ0\n45MrIiIiIiKiNOCTKyIiIiIiyopJ/uCKT66IiIiIiIjSYfK3BWoy3CaoiYeN251QO81YfNwNNlqj\nnDp9GDc/mR24OSs6gtuFtH1ntuLto70+mwc3/kV9xr/xZnXjVi/t2BjahdvqEmG87rl1lTDXjh2z\nDTeuodc+FoG2HpibrPjvRqNtgzC3uvD6a22B4SHcrJVbXWwcKmNSqBc3RYaHcePbcAduijy4F4+5\nJ65ohPlvH3of5mYz3jceF24RXbL8b3/Y8a/9/OH3YN5cDra9iISjeNxsqsGtZnf+4XXDLBjDLZcn\n17TA/PXWbTBfUDkN5vNr8Xn9s3dfg3mlBzclHh7ATZI/uvRSmL+5/TjMAxE8bu3rwy2hZ02dAfPz\nLsDb784H3oL5+Sc2G2aJBD6v5yyth/n+9XjbzPqU8bJFRLp3dsJ8oBuPWdOXT4G52WqBub0QXw/t\neXhMDbR3wTwexOdW3oypMI8qv7lqzy8wDk14TNOuh+kw0doCt979cFaXN++fL8vq8vjkioiIiIiI\nKA14c0VERERERJQGvLkiIiIiIiJKA7YFEhERERFRVpjMk7sukE+uiIiIiIiI0oBProiIiIiIKCsm\n++9csYp9Aku1al2rEk+1PjTT89dEfbiy2ubB1a+hblxda8nJSWn+I/v2GWauijI4bbALV5EnlDpp\nZymuo475cF23KHXakkjgXDFyCNfuOgpyYb73tYMwr5lRAvN4NA7z1p29MG/rGoV5Q7VxLXFXL65S\n7xnC+YKZ+Nh58g1c039SUzXMQxG8bTQ/W4/rvj8z62SYR2J4+XalEvqt1v0wn1NeB/Mjg30wR3Z2\n42V/esZimJd48HFfW4Z/wkHz1Hv42CjOxfM/fWYtzKctKIf5wW14XMvJwde0wnI3zH0Dxj99IiJS\n0VwI8x3v4Dr0afONX9+wUnVePg2PSTYP/vmNqA+/Nosdb7u4cs1wFeMq9VgoAnOzBV8z7AX42LLl\n4eVbletxZAj/NIuzBP/MQCJq/Posys/CpGwMdyITrYp9+08eyery5nzti1ldHj8WSERERERElAb8\nWCAREREREWWFaZJ/LpBProiIiIiIiNKAT66IiIiIiCgrJvmDKz65IiIiIiIiSocJ/+QqmcDNUSYz\nbo5SG+2sSuNeTGvs++j3r/FgEOZaW6DFiRtstG03evwYzEO9uI3Pno+brbQ/XQS7BmFuceC2wSMb\ncbOT9peTrg7c+Db3dNyMtefddpiXlBlvn2NH38PLXowb3fqO4n0TCuBWsIqmApj7lEY7Twlubjqy\nGzeu9fTh+Q8HwjA/86wmmK97+TDMS4vx+hcqea7bDvOCUuPppy1rhNO+9Mg2mHuL8Hl/y924NSnc\nh4+dbX8wbrkUEZlyAm6Ec9jwmLz0szNgrv34pLcZt/1dsgU39iVjuOnSZMHLtziMrxmhITym23Px\ncWP34n1r8+A8Noob5Zrn4qZJbyVuQLXn4fPCXoinL5xWCXNHUT7MB3bg87ryRHxsaJp9eNyJhY2v\nqfWLG+C0/k7cZidKG2BuFW46HNyP22/3bcJ5fgE+toprcNufRWnx3PPULphPX4SPDX8/PreKp+CG\n3L7NuGG2fMkcwyzVtsBU38fS+MMnV0RERERERGkw4Z9cERERERHRBDHJv3TFJ1dERERERERpwCdX\nRERERESUFdp3Zyc6PrkiIiIiIiJKgwn/5EprUdFaWFJtA9REh3EDkCXHuDEuHlLaAhNJmIe6e/Gy\nXU6YawYO4ca38gW4LXBIaS9q34vnP+O8mTCvmYtby4IDuJFuoA9v/9AIbo5qmIHbiToOGrch1tbh\nVq3XnjsAcxdoLBMRaWzAbYBvvdoK8yQ+9KS63A3ze15+G+afnjUX5m8dOgTzQBi3gE6rLYL5v/z6\nCZg/+M2vwPzepzfA/B/mTzPMhte3wWmjSptdn9JyefSB9TD3+SMwr6rA+9Zbh4/7Ta1439dvwsd+\nv9IkWbm9C+Y1C2tgnojiMb9jGx63vKAFtOPAAJx2ysl43TTBbtz0aLbiv6cWNOF9Z/fiMX30OB6z\nzUrD6/Chbph7Y/h67ipWGuucuI3RZMPjZtkC3PjnmTLFMAt24PZYZwlu+9Oah+0FeHpnKd63ZYta\nYK6dF9Zc3BRpsuD3ajXnLoZ5PITPe4sTL1+jPUkxWT7622Wt2Vmbt9ZqPRFN8q9c8ckVERERERFR\nOvDmioiIiIiIKA0m/McCiYiIiIhogpjknwvkkysiIiIiIqI04M0VERERERFRGpiSSa336+MVGen/\nuFcho1CbodaEqM47xYaaWNAPc7MVNy+F+3FboS0Pt4JZXbiZSmvQMdtwM1VsdATmJpvSLKU81o6H\nQzC3eYxf/+hh3IanNTOJcuzYvF6Yx0Z9MA/34dYzSw5uokwqzVPxEG6s01q/hvZ3wNxVglvFcipK\nYO47jOffdwAf++1HjY+9RZ/DTYnbnt4J85bTamEe6Mfn9cFtPTAfHMbHtdeN981j67bB3GHF5+0t\n150H81d/txvmU5twq9of1uFz76SWSpgj//3WezCfVV4N82d2v/ORly0i8u2zLoD5+0dwE+Irh/D6\nXzzrdJiffVojzH/32h6Yv7Aft3B+bfE5MB8K4GO3shCPC55cfGzabMbj7pS5pXBa7bwrLsVjvqcY\n55EAvl7aXfj9gKcCXzOiQTx/ix1fkzz1ZTDXrnn2AtwAG/PjFlXt/YI117glVX2vpb2XS8NH5Oxe\n/PrHm90P4EbedJvxlVVZXR6/c0VERERERFkxyb9yxY8FEhERERERpQOfXBERERERUVZoP9o80fHJ\nFRERERERURrwyRUREREREWWFVgg20fHm6mOGWmRQk6A2rYjeBqjR2gA1rvKP3qqVDlHfMMxRW99Y\nBDvaYW71GLcLiejrh1hcro88rYhIsB2vu7uxCeZRH25eio0Gca60dml6trfBfKgbN+IVjIRhPnIM\ntyFGleatVPTuVPZNngPm3XtwU2FfD942XmX+e4+k1uC6dOoUmP9841qYv/jkLphvOoqPjbveeA7m\nThtuuuxVmjQ3tO0wzFY2nwSn7RjGY8KssmaY1+XjxjC7DX9YpaW8GOafXXYFzN/efBzmVite/vmn\nToX5win4mlJchMfF/gE87px8fgvM/b1431tAW2DEjxtQC5R1L6zBbX1o2SIiiVgC5qXzcMtosHsI\n5vlTK2CeqnA/Xn4ygV9fMobfTyWTeHqz3Xhc1N6rJRP4emNx4DHHZOKHzCYa7jEiIiIiIqI04JMr\nIiIiIiLKjsn9qUA+uSIiIiIiIkoH3lwRERERERGlAW+uiIiIiIiI0oDfuSIiIiIioqyY7FXspmQy\nmfy4VwKJjKRW+0vGElFcJ2222VKaPhHD1bOJMM7t+QUw14wePgRzkw3/bcGeh6vaY6O40jrQgSux\n3Q1Vhll0eAROG+rFlc0mpfJYG9iCfbhyOJnAw0Z+M65MDg/i+fs78esrXzwL5sP7jsC8/wDeN95K\nXHs8dAzXAms8pcY1/WGlsjm/rjClZQ+24jF1/VvHYL7krAaYr3l2D8w/fTHed394Bk9fkpcD88Ym\nPG5s2IKr7mc04jrzUT8e9/YeM96+LjseU0vz8Wt7dRce0y48aTrMNW1d+Lzc342PnZlVJTD3unHN\n/zObd8Pc48B15d2j+Lw8rRH/DEBtmQfm0Siu6/YFjM/dhDJmLlpkfD0Yy/SH9uOfj5hzEh6Tg8O4\nLrx0RhnMk0rVu2cKfn1a1XpurbJ9InjctObmwlyUunNUl56Mx+C02vVSe681FnYvHrfqeJSdAAAg\nAElEQVTGm/0P/iary2u+4uKsLo9ProiIiIiIKCsm+5MrfueKiIiIiIgoDfjkioiIiIiIsmOSP9rJ\n6M1VIpGQG264QVpbW8VsNsstt9wiZrNZbrjhBjGZTFJfXy+33XZbJleBiIiIiIgoKzJ6c/Xaa6+J\nyWSSxx57TDZu3Cg//vGPxel0ylVXXSWnn366fOtb35LXX39dli5dmsnVICIiIiKicWCyf+cqozdX\ny5cvlzPPPFNERNrb2yXvT+1rQ0NDkkwmxe/3i9U6sT+ZmEzEU5s+btywExvFjXFmp3F7jYhIdBg3\nrmm0NsBwL273GTiIG9lEKaq02C0wtzrwsdO6tRvmwRBu+Hn0na0wX1RXD/OekVGYn9BYbpj1Dwfh\ntJuOtsG8pbQU5sVe3LpVq7Tlbd7bBfOC3H0wv+ft52Gu+erJZ8Nc60Dd09UD80+f1ALz8mrcKrZp\nUyfMC7zGrWnNM3Hj2qF3jsC8pA63XL76Cm6cK/TgcaXvOB6XasvwsdN1cBDmX7x+BcxjQdxq1vZu\nK8w/dR7etw4vfv2jPfi8njLLeP9VnIzb6hIRPOYuGZgJc7MNj5kxP952c834szpnDQVgXjIfv76o\n0rB62qVzYO5prIW51uBqUlrZtIZY/7HjME9Eja8pOdUVeN5H8JjundYM88ptu2DuaaqBuda25yxT\n1v/4UZjblG1rzcFNmRpHER43tfdTJpsd5uj9kFl5H6sUEeoXrEl+IzIZZfzOxmw2y/XXXy8vv/yy\n3H333ZKfny9f/vKX5b777hOPxyOLFi3K9CoQERERERFlXFYeG91+++3yrW99Sy6++GIxm83y6KOP\nSlNTkzzyyCPygx/8QG666aZsrAYREREREVHGZLSv4+mnn5b7779fREQcDoeYzWYJh8OS+6cfcysr\nK5OREfyoloiIiIiIaCLI6JOrlStXyne+8x257LLLJBaLyXe/+11xuVzyz//8z+JwOMRut8utt96a\nyVUgIiIiIqJxgoUWKXA6nXLXXXf9zb+fcsopmVwsERERERFR1pmSSa2m5OMVGelPbQYTuIVFayI0\nmXEzVDKO2/BMlo+3qTEyhFvD1PYgrYInadzEKCKSiODmrGQCT68dOxYHbh1DAm24OSoRw8dG1Idb\nvSIjuI3QlmPcZiciMtiKz8vi6cZNiCIixzfiZim7Ex+bFqUVzerAeetO3GRZUITbFLW/uoWVJspc\nr3EzVSyCj7twEDfKVc/CTZHvvYLb9Coq3DA/egy3kC5cghvdXn8JtxVaLPi8PnFhJcztObgRrr/d\nB/PK5iKY71yPz02HcuwhnT247W6W0iRZWIsb2Z55cifMteN62ZI6mAdG8bHpKcBjYtiPp9+7tw/m\np52PG/X2rsNtf9NOxY16Bze0wzzHY3xe9/fiMbmhpRDm4SAeUwZ78PwPH8fnbWVpLszfP4Dbdy/9\n/DyYi3I5DY/i67GrAI/JriI8btnz8etLRPD29UxtMA6V9yLaeWVKQ2u2Ix+P++PNocefyurymi69\nKKvLm+S/kUxERERERJQdE/tHpoiIiIiIaMIwmcfvp8bSgU+uiIiIiIiI0oBProiIiIiIKDvGcd9B\nOvDJFRERERERURqwLVC5e061sS/mH8XTg5aYZAy311icH72NTkQk6sOtWfEQbpSzOHF7T9SHfyDa\n5vHCPNyLm6FMNvzgtWPdAZjn1xbAvHUjbpZy5+Pt7y7CbYf73+8yzCwWfFze9NQzMF+9ZAXMD3cP\nwXxeE24eWrcXN6bVFOLWsp+9+xLMT6iYDvMVM6fCfMAXgvmerh6YNxTi5q69Pbg5qyYfH1vRuHF1\n1qb2g3DaeRWgtUpEZteUwfxQF27p7BnFY9apU3Gj2t52PGa3VOI2PpfSFKnlxzrxuFNbgced7j7c\n2Df/RNxWWLt0mmHW+z5uaswpwo1mgX68bs48PCabrfjvqb4ufE0oaCyGubuhCubxEG6ES4Rxro35\n9vz8lJavXfNya5S2xHbjcdFZgpseNam8lxARiQdwm6DV7YG52Y4bZM023NKZiOImyExPr0mlXVmd\nVnmfmI6nOHYvHlfHm8NP4vcw6dZ4yaezujw+uSIiIiIiIkoD3lwRERERERGlAQstiIiIiIgoKyZ5\nnwWfXBEREREREaUDn1wREREREVFWmCb5o6uJ3xaY4uonk8atXSIiJhN+uKdNr0EtMlo7jvYL18k4\nbjoU5bVptPaiVNp3RESsObhtT2svSkRwM5RGa47S9k8iHIG5q9K4WSvQhpsKtX0b6sNtgOrAluKv\npwe6cWObPRfvu1gQb7uegwMwzyvHrWsbXj8K87kLKmA+OojbCEMBfGxs3WfcVnj28ilw2oO7lRZN\nZdf1DODjOqy0lM6fVQ7zrbtwk6LVjMedonzcePe9534H8+tW4Faol3fhFtEtHbthfkbDfJhv6zps\nmH311NPhtK/vNZ5WROSSxTNhbrXgbRuO4HGjfxAfG6XFeEwuVHLtvLTn2mH+yK82w/wfPtUC86MH\n8Lix+EuLYP7+r9+HeXWLccuoXxkzihtxQ6l3Km6pNCvXU387bkhVrwlKfGzDMZjXLKiGeW4dHldi\no7jtMBHF41Yyho99VxVuWbV5jBtwtfdi2nuddJhobYFHfvtsVpdX/9kLsro8PrkiIiIiIqLsSPEP\nuOMdv3NFRERERESUBnxyRUREREREWTHZv3PFJ1dERERERERpwJsrIiIiIiKiNODNFRERERERURqM\n+yr28CCu9Q314npRm9sN83gEVz6j+k0RkXjQD/PYKM6tHuP1C/fiymWrxwPzeABXl44ew9tu6Ogg\nzJ15uE7b349rfXvbfTAvUmp7YxFcg9/RhuvAZyzE1bZb3sZ16MWFuDK6cT6ulrXYjb/yONKB1z0S\nwrWzWq1vxIdr6sN+fF5o1bN51fkwH+kYhnlOAd62iQQetqIBvP4Wm/FPIIiIWF02mHtqS2B+6JW9\nMM8rMz624zF8XFechKvatZr+Qy/hqvGcfCfMC6fg166JjOBx4eCGNpjPu+QEmHe8ewjmZqvy8xpx\nvP0Lmophjn5GIB7G5208ivedNqbGlOmrF9bCfLQNj/neOvzaI8P4mmMvUMb0UVxXHujF14yIMm6F\nRnHuLsJV8g4vPjcSoO7bloOvl/EIPja0Kvb2N/GYU9hcCvOhw/j9Rl4dvqYklXHLnoe3rasSr1/U\nh3/6RftZHlcFvh6bbfhnAOBvXCjL1sZk7WdtzE583ImI5JThc3u8Ofr0mqwur+7C87O6PBZaEBER\nERFRdkzuPgt+LJCIiIiIiCgd+OSKiIiIiIiyglXsREREREREpOKTKyIiIiIiygqtFGuiG/dtgZGR\n/swuQHv5yqPLZAK3wGhMZtxahsTDuFnJbMX3zvEgbnayur0w1xpuoj7ceGdx4ka46DBulENNiyKi\n7tv+rQdgXrJwBszDA7hZK9yH1x+J+HAr2IH1uFGtsgm39cWjuNlJa6x78bWDMP/UmbjR7vu/ehXm\n86tw85FFGZgLcvGxpQ17nlzcHHW4awjmv97+BsyRlc0nwfyF/RtgfkbDfJi/0brlf7xO6VSXXw3z\no0P42M5z4gbXq5YshfnWI10wHw7hc+/EOrz+97z9vGH2n5d/AU7rUo67mgVVMB8+OgDz/PoimJuU\nJsXu7R0wn3rxYpiH+/H6hbrxmOpuwI15Fhc+77UGXmcpbsIMD+L1y62pM8yCHe1wWkcxbmJMRKMw\n196LWJy4rU+TiOCGWbMdtyEmYrip0WzFx77ZhhtcP+nsXnxujzfH1xiPk5lQc/65WV0en1wRERER\nEVF28DtXREREREREpOGTKyIiIiIiygq2BRIREREREZGKN1dERERERERpMOnbApPxGMzVtj7l0WUs\n6Ie51oCDGn4SShtgqpIJvOu1bRcP4fYgm9LmF/XhtkH/8W6Y59aUwdzixO1F2r4N9+FmK5s7F+ba\n63MUFxpPO4ybFq25uPmpdzNuQiya0wBzi8sJ84HtuC2wZNFsmB957l2Y5xTg1q+eg3jf2F34E8/F\nU3AzV/v2TpgX1eLGutFePC4kwLnXdgS3TFos+G9iHg8ec7xFeNu+9c5RmLvsuLVrzqxSmD/92j6Y\nn3NqE8xffw+vX1WhB+Yv7N4L89nluJFvSzte/udPMm5r7BrAx8Vzu7fB/J/OXALzn7z2Jsy7fD0w\nr87DbXxnTZkO81gCt4yeegJuWhwZxteU/AJlXOrHTY9uNz52a5Vjt+cwbgssqTduaS2ZjxtUfYdx\nE2NuHV63kQN4ek89nt5egBtmtbZCay6+3qvvxZQ2QO29lCYZx+svJjyuWhzGx5722hIxnGtNiEll\nehERZzE+d8ebtudfyOryqs9dmdXl8ckVERERERFRGrDQgoiIiIiIsmNy91nwyRUREREREVE68MkV\nERERERFlhck8uR9d8ckVERERERFRGkz8tsAMr77W8oLa/kTG0PIC7t61dpxU7/yjPh/M7fkFMI/5\ncRtePISbm0wW/ODUmoMb8UK9vTDXaI14vgPHYO4sU7aPLwBzs9349WttgOEB3ChnzcGvbfhQF8zz\np1bAvHcbbkzLLcGNbY5C3Cy1+bfb8fzd+NyYfu4MmA8dwK/fmY+3v78HnzvBYdz0WVBnfOx07+uD\n0zqVxrPjh4ZgPjCE183lxOdlRQXedzY7bmB95702mB/owa//f336BJh3HMNNm1rb4pb9+Ngoy8Ov\nv7bS+NjvVdrspk41bhAVETlwQGkwteLXFo3hNr/9nfh621JZBHNNNdg2IiLV03GLZ/ch3NZ34BDe\nPoV5eFysbcSNeUE/bpzr7jS+Ji66EI9J7z+HWzTLq/G2qzmpHuaRYXw9GmnH40bxDNxGFwtFYG73\n4jE1FsRNkRYHHvPNVjzuOErwsaW9l7O5jbe/9jZaa362eXD7rLZuIiKOAtyePN60v/RSVpdXdfbZ\nWV0en1wRERERERGlAb9zRUREREREWWFSfmd0ouOTKyIiIiIiojTgzRUREREREVEa8OaKiIiIiIgo\nDSb+d65S/dym0vJituFmLhGcJ2245cVkNm640dr4UNOgiIhZaePT2gCDXR0wtzhdePnKtouHcbuQ\n/yhu6zPZ8OvzH+uBeY7SfGVx4XYiix3nMcHtTIN7Ow2znDLcDBUZwa1j/Udx81PFbNwGOHzQeN1E\nRGwuvG9z60ph7j+K982UE8phPtrrh3n3+/jYiUfxeZk/FS8/NIT37Vvr8PIjb7QaZmcvnwKntSht\nfA4l7xjATYdVRcqxF8YNqHnFeFwo9uL82V24iVIEtwWWK410G7a0K/PH8j0OmO8/atxoV16Ym9Ky\nD3Xhtrx5Tfi8q63DrWSBEG7DKy7E+27Eh8d0rQ3QXY2vSS8+uxfmy85qhLnNqVyvlfcDfZ143Ckt\nN26SDCoNo83KmJdbiffdaDtuSoz48b7JLcUtmIEufE1xlXph7ijGTZiJLtz+a1au9/YCvH1C3fia\nY8vD40YiYtxmaLIpzc7a+0jlfWwyMa5LvenvmPg3V0RERERENDFM8h8R5s0VERERERF9IiWTSbn5\n5ptl3759Yrfb5bbbbpOampoP8jVr1siDDz4oVqtVmpub5eabb4bz43euiIiIiIgoK0wmU1b/07zy\nyisSiUTk8ccfl2uvvVZuv/32D7JwOCx33323PPzww/Loo4+Kz+eTtWvXwvnx5oqIiIiIiD6RNm/e\nLEuWLBERkblz58rOnTs/yOx2uzz++ONi/9P37GOxmDgc+Lu3Gf1YYDKZlO9+97vS2toqFotFbr31\nVgmFQvL9739fLBaL2O12ueOOO6SwEH/RkYiIiIiIJoFx9pWr0dFR8Xj+UmpitVolkUiI2WwWk8n0\nwX3KQw89JMFgUE499VQ4v4zeXL399tsSDAblsccek/Xr18udd94pg4ODctNNN0lLS4s88cQT8tOf\n/lS+853vZHI1iIiIiIiI/obb7Ra//y9toH++sfqzZDIpd9xxhxw9elTuuecedX4ZvblyOBzi8/kk\nmUzKyMiI2Gw2ufPOO6W4+I91rGN5tJZxqVa5a7MHVesaiwvX3mo18ialil3jKq+EeSKKa3u1Knat\n5N5ZgmuFteXnVOL1N9sze+y5Kqtg7m0xrnZNdd1KR3Btrs2bD/OobxhP78G1t5HBfpiXnlYH83gI\nV52nKh7EVfYma2q1v1+cUY1XAIw72nnjO4x/ImHubLzshQWLYW5RxuS+LftgnteMj/vqM2bAfGkr\nzh2FuDLa6sLr7xsKwXza0gaYa9eM0U7jc8eZj8f04TZ83hW68fSFSlV6Txf+eY8FC/BPNIQDuIbf\n5cLnzda3j+PpnfgnIGZMwT+fcWhXH8x/8+5OmGsOD+Jzz2E1ruR2gkxE5DNz58F87b5DMLdZ8HsN\nbfkr5uAa+74hPGZubMX79pSmWphPa8E1/cFRXCXf24/Xr6oSjxtVM/H7jfxm4/cTiQh+L+KqKIN5\nwprae6mJaCzfg8qm+fPny9q1a2XlypWydetWaW5u/lB+4403itPplHvvvXdM88vozdWCBQskHA7L\nypUrZWhoSO6///4Pbqy2bNkijz76qDz88MOZXAUiIiIiIqK/a8WKFfLOO+/IpZdeKiIit99+u6xZ\ns0aCwaDMnDlTfve738mCBQvk8ssvF5PJJFdccYUsX77ccH4Zvbl64IEHZP78+XLNNddId3e3XHHF\nFfL73/9eXnnlFbn//vvlpz/9qRQU4B8NJCIiIiIiygSTySS33HLLh/6toeEvn2LYvXv3/2h+Gb25\nCgQC4nb/8VGsx+ORWCwmzz//vDz55JPy0EMPideLf9GbiIiIiIhoosjozdWVV14p119/vXzhC1+Q\neDwu11xzjdx6661SWVkpX/va18RkMsmiRYtk9erVmVwNIiIiIiIaD8zj6ztX6ZbRmyuv1ys/+clP\nPvRv559/fiYXSURERERE9LHI6M1VNiQTcZibTMrvJKfYWKIuP4W2QG3aZBw3NyUixm10f1oAnj6G\n23msrlw8f0Us6Ie5WWk7TCivX5s+NjoCc6s7tY+tats/HjZuLYsM49YwUY47Wz7+LuPoYdw8ZVYa\n42J+vO+0JiCtTVBryvQdaIW52Y73fW5dDV6+MwfmWlNnbBRvH4vLaZhFBvC+d9fh5qlYALfhxUPK\nuJDAr01rA0yE8LgR6sfnXefObpiXteBjPx7FebPSVHl4/TGYmy143MwvMx4XR7txW58r3/i4EBGZ\n3Ywb1coacQvovkMDMH/qPfy9giVTcaPcnFm4cS3Y5oP54Ag+dn+zdTPMmwpxQ2xQuaadPX0azPes\nx+MOagvMd+K2ulf2HoC5Rble1xfgJsWg0q67RmkB/cfPLoL5no5emM+YXgLzoB/vm+oW/Ppayjww\nz585BeaRwUGY27zG89fa/NTm5mQCx8p7HRp/JvzNFRERERERTQzjrYo93ZTHOkRERERERDQWfHJF\nRERERETZwSdXREREREREpOGTKyIiIiIiyorJ/p0rUzKp1F59zCIjuFWMxq+E0k6k0Rp4NFEfbl2z\nefJgjtr8REQsDtzspbY1omWHgjC3eXErWKbFQwGYmyx432n7VmsTjAfxvrEX4rbEYEcnzLWPLLgb\ncGuatn2QRAS3Zo0eaYO5owgfG9p5Ge7D5423uR7mmtHW4zBPKG1/kRF8buSU49cf6seNdWYr/kBH\n3vQmmEeGhgyzob143zkLcAOrPV/JleNeO7aCXX0w93fiY8OZj1s2vS24qXH0MN4+2rFh8+AxORbE\nr3/L8/thXqO0MY70Gx+buXm4gdWs/O7Pof246XH3UbzvZtThpsmOPtxkWars2zf3HoX520ffh/kF\n0xfD/Nk978C8Og83RbYNd8Bcc9//+yXDrKgaNxV6KvFxkzcdX08sTtyeKyLiLMavf7zpeefNrC6v\ndPHpWV0ePxZIRERERESUBry5IiIiIiIiSgN+54qIiIiIiLJD+RjsRMcnV0RERERERGnAmysiIiIi\nIqI0mPwfC9TKEMdxHWQygZuRtNdmsqS2e2NBP8zNVntK89ca47S2PbMdty9pbYCptPmJiAQ72mHu\nqqyCebi/1zDTtk10xLiRTEQkHsatWBp7Ht52qRo9fAjmlhy9HQnpWb8N5qWnzIV5zI+Pff9x3Ixl\n1s498JGIVM/bUC9uFQsP4tc22o1bw0aO4fnnluLmrM6dXTC3OSwwL5uTWitWsB+/fosNL3//T1/9\nyMsOh/GYXlLhhnnIj5seg0oejuDlFxTh885biNv43nzhIMznzO6G+RBo2xMReXcXbnw748RamOd6\n8TVraARfEwbfx8duUYHx9gsE8L6xWvDfug+04/NuKIi3XbGyby3Kx7S2HMKvfVEjvt6dWI/P2/IS\n3IR56af/N8x723ELqNuL3y/09eCG14ZTjJsuc+vwa9Paf01m5TmHafI9B5nsVeyTb48RERERERF9\nDCb/kysiIiIiIhof+OSKiIiIiIiINHxyRUREREREWWFiFTsRERERERFpTMmkVqf38YqM9H/cq5BR\nqBHQZMatVRNdIorbk7TGvEyLh0Mwtzhwc5bWRojmrzUdauumSSjT27z5MI8MDcLcmotbz2KjI3j+\ng7gN0VVZgacfwtNbHLg5Kh7E28dkxeemzevF8w8ZHxvaX/TiSiuYJScH5tp5dfyFDTAvmlmN5+/E\njWwmpfkq2KWM+cofPK0uvG+T8QSevbJvtf3Tuna/Yda0chacNtSNz6toAI8poSF8bNhz8b7xKU2R\noVE8Zm96vxPmS89qgPn+7T0wLynFjXIDStugzYaPvaFhvH17hnCjXIHb+Jpw9xsvwmlnl02B+fKZ\nON90CDcphmIxmIdjeN/u6TsC89EwPnY0N5xzEcz9Qbx+s2aWwLy/V9l3Spti3cnGbYHWXPxewFla\nDHOzU3kvEdKv9+66ZvX/M570vbcuq8srXnhqVpfHJ1dERERERERpwO9cERERERFRdrAtkIiIiIiI\niDR8ckVERERERFlh4pMrIiIiIiIi0vDmioiIiIiIKA1YxU6UIVHfMMxRlbvZjuukx7tUa/aDXbhW\n2J6Pq+ItTlxHHg/hWl7tZxDiIaXyWamyRwJtx2EeHsDHVd60qTBHP/8wFolIJKXptW0T7GiHudWN\n67i71++EecUZ82E+vPsAXr5Su+zvGDDMPA3lcNroiB/myQSukc+pwvPv2bAH5s58fN7Y83Ae7MU/\nsWCx428iaFXzuRUFMO/bjccNmxOPO8NduE7cU4pf/9Z1bYZZMIyr0Au8+LjKceFtp33MyqrU0CcS\n+K3gNx5+FObLmxbC/L12458oEBHJd3pgXuUtgvm6Y9tgXuEpg7nbjvfttZ893TCrO7EKThtTauTd\nNbiq3V6oX088DdPU/8940r8F/+RHuhXNPymry+OTKyIiIiIiojRgoQUREREREWWF9mPsEx2fXBER\nEREREaUBb66IiIiIiIjSgDdXREREREREacC2QDKkNb5ptEa4VMWCuFnL6sKtYmQsEcGtXeEBfF66\nyithrrX1xYO4jc/icuFcaQscPXwI5okobvbytrTAvH/T1o88f8+UWjjt6GHjRjIREWdJHsx7tx2F\neU6xG+buety6penfdgTmZhtuahzp9MG8oA43aw0eGYS51ppWuaAG5oEu4zbHHW/jJsiyCrztuztx\nm93RLtzW1zaImyYXT8ev7cWt+LyZWopbz3753sswP6MBNznGlX0ztxq3JXYO4e33u11vwVxzUvVs\nw8xmwV9xz3PitsAzT6iD+WNv7YD5rIoKmA8G8Jg7s6YE5r3DeEyfWoubHh0OfN63nNEI89FOfGwX\nTsfXJI27od4wS8Tx9cJstae07LG8l7IrbYrjzcC297K6vMK5uM0y3fjkioiIiIiIKA3YFkhERERE\nRNmh/C7bRMcnV0RERERERGnAmysiIiIiIqI04McCiYiIiIgoK0yT/GOBbAskQ1pbYKbbADMtNoqb\ntaxuL8y1Rj2z3fGRp4+HcHOT2YGbpSxKHg+HYB5sb4e5qxI3TyXjCZhbc3ErWmQQn/fxIF5/eyFu\npho9rDTm1eBmKW3fatsPfd5cO6/MNvw3sUQsDvPh/bixzmzFrV2BXty4VjwbN851v4+3fUEjbpyz\nuHDz1vDBHpj7B3CrmdWOX3/QF4F5w7Jmw2zHM7jRraweNx0e24fPi+JypSEVn5by1gZ8bPjD+LXX\nl+KmyrJi3OJ57eOPw/xzc86A+a+3vwHzk2vmwHxYaTFd3Igb6w709Blmb7RugdOe13IKzJ/btx7m\ny5twG1p1Ad43JXl432hvFXNceNyaPg+3jB5Vju2yKg/MC2rw63PkaQ2zeP29U+oNM+29ksmCxxSz\nHY9pJov+XstZhJsyx5vBHZuzuryC2Quyujw+uSIiIiIiouwwT+4nV/zOFRERERERURrw5oqIiIiI\niCgNeHNFRERERESUBvzOFRERERERZYXJNLmf7bAtkGgCio4Mwdzmxa1jqYorrVoWJ26eyjRt/eJB\n3MZoLyhK5+r8jcjQoGFmSvWLvkrFrdbkGA/gbWf6/9q79+Ao63sN4M/ek2w22VyAhBCSAAUCajCx\nlIpYLzgHbxwQOIrCiKUzrVrHsWgNJCqRhIityvFCB4qDI6LBGamg45GeDOARtRDlGjACIYmYC7dk\nk02y2fv5g9MUT7vfH5rNvhvyfGb4Ax5297fv+3vf3Xff3edVtAmqBDxys5anTW7xNNnlpklzotwa\n5j4nv6Z4HHIbortd0TYotBmqGsnOHG4S88QR8nNrOiI3JQ5RtBEe+Zvccpk6RN6uR03NFnPV3D62\ns1bMDUb5DVkgIL+dOV7bKuY/GSW3jD684S0xl1yVNk7MD7V8I+aLrpku5medXWLe3iM3rO5u2C/m\n12RMFHOvX24pnfuzK8T8jKLFs0W1XSpaUn8+IUPMfT55v5j/b2NCZha73NKpM+EVMqwAABlJSURB\nVMjzNm6E3L6ragcGgNgh8vOLNo6jByL6ePYJkyL6eDxzRUREREREkXGZX+fq8j4vR0REREREFCE8\nc0VERERERBGh45krIiIiIiIiUunXM1eBQADFxcWoq6uDXq9HSUkJfD4fli9fDoPBgKysLJSUlMBk\nkn/kS0REREREFO36tS2wsrISO3fuRFlZGfbu3Ys33ngDZ86cwVNPPYW8vDysXr0adrsdixYtCnkf\nbAukgSrgcYu53mwJmfndcrOT4RLagySq+1edspfGfilcLXIrWmzacDHv77ZCr7NdzJXPPyg3T4kU\nFbWqda8au8kmN8552uR9bsArt/2ZEuVGumBAbvXytslNmOYUucnR26FoG7TJbYOu5hYxV7Udutvk\nVjOJfcJoMXee/FbMLSnyujXb5XXTcaxOzhvktr2UiXJjWVejfHtLsty65uuU96k+t7xuzhyT57bb\nJd++sUlet7b40E2RR06eE2+bmhAr5mlD5GVT3yjP+/2n5CbItIQEMVepb5WXrcvnEfMRicli3tB2\nVsxrWxvE3B4rz/0bR8lthnNunxAy6+6Qn1u2okXTkiQve3OSuv3XOkLed0Sb9mOHI/p4iWOvjOjj\n9evXAqdPn44VK1YAAJqampCQkICWlhbk5eUBAPLz8/Hll1/25xCIiIiIiIgiot9/c6XX67F06VKU\nlpbizjvvRGZmZu8B1c6dO+FSXG+GiIiIiIhoIIhIW2B5eTkef/xxzJs3D3/605/whz/8AX6/HwUF\nBehQfIWDiIiIiIhoIOjXM1fvv/8+1q5dCwCwWCzQ6/XYtWsXXnjhBWzYsAEOhwPXXXddfw6BiIiI\niIiihE6ni+ifSOvXM1czZsxAYWEhFixYAJ/Ph2XLlkGn02HRokWwWCy44oorMGvWrP4cAhERERER\nUUT068FVTEwMVq9e/U//fuONN/bnwxIRERERUTS6zC8iHJHfXEU1VRO9YgKoaol1Bvmblzq94Uff\nt15xfbC+VIEDgPu8XH1qSpDrQQOK6lW9MXRtLQAE3HLZid4iV9d6O+RKZ9W6DSqWf9Av123rLfLz\n05uFXDEvuxrkSuaA1yfm1ky56tzrlCuHVfPa0yb/ltLXLVfB+7v7VnTjOiOv+/jsdDHvOnVavn2W\nfPugT64bd9SEXn+JY0eIt+1ulLfL7rNOMc+Y/lMx97vkdRPwy3Oro0qu2G2ulqvO0yYOE3Njs/z8\nLUk2Me9qkC8DcP4bed3bhvetslpy5m/VYt7dKm8XOp089iFXZYr52aOKdTNJvn3Ao9jvjJBr9J31\nZ8S8/oA8vr76ybVZYm48IM+dLqGSe9Rw+fXSniC/Hp88JV9i4cQZuQo9N03erqbkyzX6n1bJrzlu\nv/x6+YsxY8Q82Sa/nnccled+Xtp4Ma9t+07MJ44cIuZDctNCZrbR8nahM4R+nwcAhli5Zl91+QqK\nPjy4IiIiIiKiyFBcz3Ggu7yfHRERERERUYTw4IqIiIiIiCgM+LVAIiIiIiKKCJ3+8i604JkrIiIi\nIiKiMNAFg6q6PG15OuQGHCKiH8rTJu9XzElyq1lf+Xu6Q4eKH/oG3HKbn6rpMS5DbiNUUbVwetrl\nVjOd6vl55JZRS6q8brwdclvisQ8OiHniMLm5K354opjX7zkVMksfJ4/dFCc3jO77a62YJyXFiHlz\nizw3HE65YXbsqCQx/+veOjGfdqXcqlb7nTy36s/J+ZWZQ8V8f0OzmNss8vLb+91xMb9h1ISQ2fDk\nePm+TzaK+aRMuaF0W/VBMf/WId9/SlyymD8wZaqY/+cnH4v5fVf/QsyTbfKyzxkpb3fHTraJueqd\n7hUT5LbA3FmTQmaW1FT5sRXNw0arPDcupbbcYpfnfrRx1tVE9PFsOXKbZLjxzBUREREREVEY8DdX\nREREREQUGZf5RYR55oqIiIiIiCgMeOaKiIiIiIgiQsczV0RERERERKTCtsA+Cgb8Yq7TG/rtsf2K\n1jCDovkooGiwUQl45GYpZQNOH+9fb7b06+1VvE65FU21/KX1Z7LJzUiqxjZTgv1HPzag/lTJ3Spv\nlyZbgph7nR1ibrbL4zfExIm52MZ3CVTbhmr9qNoIPY7Qc8cYr9huFPscc5Lc+tXd1CTmPqe87GKG\n9a1J0WiziXlPc4uY60zyFy6CXt8PHtPFDHGxch4j5+01J0NmsWnyuvF2dIm5KUFuMmw7GrqpEACS\nxmeIubtNblqE4t2C65x8e3O8vE+MGy4vn6YvToh52jXZYt5cVS/mtnR5bnafk9eP2Rq67fHEfnle\n504dKeZ1X8nbbVy83DTZ3uoS81PN8robO0be7vcelMc3OkPepx+sPSPmo9Lk27d1yq9p3W55nx5n\nMYn5+OzQczM1Xd5nJ2UpXs/M8j7N2Sy/XgLAhF/drfw/0aTzW3lbDrf4kWMi+ng8c0VERERERBQG\n/M0VERERERFFhE7P31wRERERERGRAg+uiIiIiIiIwoAHV0RERERERGHAtsB+pmWbYF/1tU1Qb5Lb\nd6KdqlHP1ym3K1lShvzox+45KzcnGSxyM5Tf7enT7b3OTjGPyxgh5r4u+faqJkdPm9yGaE5StC/F\nyo1uHod8/36XvO6NVrmtUDn3daE/11KNvadFbh2LTU8X8866ejFPGDdOzB2Hj4i5X9HKpTfJ+zyd\nXv7Mz3lKfk1QNeI5jjeLedwQuTEOit8KnK85HTKLHya3ink65e1CNbb2hlYxt2fLjW/njsn7HYvQ\nhgcAMXZ57vq98utha728XRrN8tzQGeTc3SXPTb8/IOZetzz+Dz8/HjKzWeR22m1f7xHzkln/LubP\nvL9VzMen5oj5VcPl7eZ/Tn4j5h6/vGzTbfLc29d0VMznXXm9mKfZ5W1raLK8z57ws+FibrSEriiw\nZcmv9XpFw2lMepqYq5qHAcBiH6r8P9Gk67vaiD6edcToiD4eCy2IiIiIiCgyeBFhIiIiIiIiUuGZ\nKyIiIiIiiggdz1wRERERERGRCs9cERERERFRZAilTpcDHlypqMoUFac2o7kNUEXVeNbXNsH+pmqk\n05vl9qaAoi2wL22AgDy+mCFy84+3Q27V6uvtDTHysvE42sTcbE8Sc1jlZidVY15fGRTNXZZkudlK\nNXc8bXKjnbR8VC2VqiZI1dhUVGOPGSYvG1Oi3OToPntWzFVNjKq2PpXYFHnuuR3dYj702jwxN9tD\nN/p5HHLDqClOXndmu1XMkxRNjO318rr19PjEPGF4gpirxNjldTssV37NOfG3U2I+cqK832ttkdsQ\njUZFU6VT3vbswn7LH5CbCIfFp4r5dy1yA+tPMyaIeYxRfruXliTPrfunThbz7QdDNyUCwFUj5BZT\nk+K90mmnvO38omCkmB/4Wl73e95sEvOF/zEpZOY52ijeVq+YV8MU+7yARZ53wMBrC7zc8eCKiIiI\niIgio48fkkW7y/u8HBERERERUYTw4IqIiIiIiCgMeHBFREREREQUBjy4IiIiIiIiCgMWWhARERER\nUURc7hcR1gWDqq5xbXk65OrYwSzol2tzdYa+HTurqtZVVe3Rrq9V7V5nu5ibbIk/eEyXqud0s5j7\nPXJ1qzUzK5zD+SeqOm9V1brf5erT45uT5LpwFdXcUO42g3Ltcmfdt9Kdi7c1WuVlF5suVx47jn4j\n5kGfPPaYYXLNfleDXHnco6g6bz3VId++W94v5d6aK+Y122vEPGmoXItc+7U8txMSzGIuibXKt7Wl\nyOve5ZTnLeRVi1fe+0LMU62ha+YBwKV4zfj5mEwxP3zqtJhnpcg1/wdOyXXae747LOYzc6eKeYLi\nEhVOd+jlX9d6Tryto0euWh+bMlzMK2urxPz2cT8X81PtrWJ+bU6OmNtt8rLJSJcvgRAIyPu9hGR5\n7mfkjxBzozVGzHV6+YtcJnvo13OTTX5uOoP8XklnkB9bdwnXhDInylX+0cZ1Rr6sQrjFDpX3PeHG\nM1dERERERBQZl/lFhC/vZ0dERERERBQhPHNFREREREQRcbn/5opnroiIiIiIiMKAZ66IiIiIiCgy\nLvPfXLEtcADra1ugv0du7TLEyK1ZKn1tG/R1yq1hxviEHzymi/W1LdB9/qyYW1KG/OjH97QrmggT\n5Ofu7ZCXner2vk6nmKvmltkuN8r1de7199xV8XY4xNx9TtGWGBe6+cqclCzetqelRcxVbYHuVsXY\nLPK8N8RZxTzg7pFzn7zfchw5KebGOLlRT/V1E71Jnru2n8itaK4WudHO4wi97fh75H2iauzebkUb\noOLV3Nstt4h+/t/ysr/2llFiHmNXbLceed23fStvV7EJ8tw80yDvN0dOShPzpiNy02VDvXz/w4VG\nvMQh8rLZ+l9yi+VNP8sWc1WLps0uL7supzw3Wtvk7fp4o9w2mKxoOU1KkNv8Xt/9uZgPtSpec1QN\nrh65obbonptDZgmKdZs4Ut6n2xQtmr5u+fUOAJIm5iv/TzTpOS+/joVbTIq87Yfb5X3oSERERERE\nFCE8uCIiIiIiIgoDHlwRERERERGFAQstiIiIiIgoInR6VrETERERERGRwoBvCwwG/GKu0xvCOZyw\nkxr1VG16fkUrl94on5gMeOV2IJ1BfnwVZRugq0vMjbGKVjJFG6GqUc7XJT9+bNpwMe/PtkB/j9xc\npOJ3y+tW1Raoai3rrKsX8/hRcquYqglSxZyUIuYeR5uYq5avau521jWKuSXZJuYQlq8lRW6W8rvk\nsQd88j5Rtd2YE+W54aw9JeYp10wS8xPvVop5xnW5Ym6Ml/cLKl0N8rozxsutZp72TjGXGgFj0+R1\n6+2Q90mmBPm5G61y3nnyOzF3NMiNb6m5chPlua+bxdyeJT//7rNyS+mJ/XLDWHpWopjHJcqNdHqT\n/Hmzzy23HSaPD/2a0dUkL1tLotw4V739mJinZ8vP3e2Sx95+Xt6vmC3y+wmfV97vGE3ye7F4RZvh\niRr5vWCW4vlX7ZPn5rAUeflPvm1syMySHLolEgAsSfLYTEl2MZ8yeaGYA8Chhk+U/yeauB1yM2e4\nWexDI/p4PHNFREREREQUBvzNFRERERERRYQuyi4iHAwGsXz5cnzzzTcwm80oKytDZuY/rj+2Y8cO\nrFmzBkajEXPmzMG8efPE+4uuZ0dERERERBQhlZWV8Hg8qKiowJIlS1BeXt6b+Xw+PPfcc3jjjTew\nceNGbN68Ga2t8td8eXBFRERERESRodNF9o/CV199hWnTpgEA8vLyUF1d3ZvV1tYiKysL8fHxMJlM\nKCgoQFVVlXh/PLgiIiIiIqJBqbOzEzbbP4qojEYjAoHAv8ysViucTrl8J+p/c2VOkFvBaOAa6Ot2\noI+/L2JS5SZFpZS08AwkhP5eN7ac8f16/9EsPit0a9almPCru8M0kh/HOmK0po+vpYTRchNjH7dq\nDJ3axztQGHNv/95/f5K7Y9XSb7o5LOMYqOQOUrWfhmUU2hhoTYCXItreP8XHx6ProgbpQCAAvV7f\nm3V2/qMltqurCwmKxmWeuSIiIiIiokEpPz8fn3xy4SD2wIEDGDv2Hx8ijh49Gg0NDejo6IDH40FV\nVRUmTZIP96P+OldERERERET94eK2QAAoLy/HkSNH4HK5MG/ePOzatQuvvvoqgsEg5s6di/nz54v3\nx4MrIiIiIiKiMODXAomIiIiIiMKAB1dERERERERhwIMrIiIiIiKiMIj6Kva/u/jHZmazGWVlZcjM\nzNR6WFHB6/WiuLgYDQ0NMJlMKCoqwvjxg7cq+mIHDx7EH//4R2zcuBEnT55EcXExdDodsrOzUVZW\npvXwNOHz+bBs2TI0NjbC6/XiN7/5DT788EOcO3cOwWAQjY2NuPrqq/HCCy9oPVRNBAIBFBcXo66u\nDnq9HiUlJUhOTkZxcTGcTieCwSBWrVqFjIwMrYeqmfPnz2POnDnYsGEDenp68Otf/xrZ2dkAgPnz\n5+PWW2/VdoAauuuuuxAfHw8AGDFiBFauXAkA+OCDD7Bp0yZUVFRoOTxNrVu3Djt27IDP58OCBQtw\n5ZVX4qmnngIAZGVloaysrLf+eLD5y1/+gi1btkCn08HtdqOmpgabN2/GihUrYDAYYDab8fzzzyM5\nOVnroUZcMBhEUVER6urqYDAYsGLFCuTk5AC4UDwwatQo3H23tpd4ILrYgDm4qqyshMfjQUVFBQ4e\nPIjy8nKsWbNG62FFhXfffRcWiwUVFRWoq6vDkiVLsGXLFq2Hpbn169dj69atsFqtAIBXX30VDz74\nIKZNm4bHH38cu3btwg033KDtIDWwbds2JCUl4fnnn0d7eztmzZqFnTt3AgA6Ojpw//33Y9myZRqP\nUjs7duyATqfDO++8g7179+LFF19EYmIiZs6ciRkzZmDPnj04fvz4oD248vl8eOaZZxATEwMAqK6u\nxi9/+UssWrRI24FFAY/HAwB48803v/fvR48exXvvvafFkKLG3r17sX//flRUVKC7uxvr169HZWUl\nlixZgoKCAixduhQ7duzA9OnTtR6qJmbPno3Zs2cDAJ599lnMnTsXZWVlePrppzFu3Dhs3rwZ69at\nQ2FhocYjjbzdu3fD5XLhnXfeweeff46XXnoJy5cvx5NPPomGhgaMGjVK6yESfc+A+Yjoq6++wrRp\n0wAAeXl5qK6u1nhE0ePEiRO4/vrrAQA5OTk4ffr09y54NlhlZWXhtdde6/27xWKBw+FAMBhEV1cX\njMYB89lCWN1666149NFHAVw4S3Pxcnj55ZexYMECpKRE1wX+Imn69OlYsWIFAKCpqQmJiYnYt28f\nWlpa8MADD+DDDz/ElClTNB6ldlatWoX58+dj6NChAIAjR45g165dWLBgAYqKitDd3a3xCLVTU1OD\n7u5uLF68GIsWLcLBgwfhcDiwevVqFBUVaT08Te3evRtjx47FQw89hAcffBA333wzXnnlFRQUFMDj\n8eDs2bOw2WxaD1Nzhw8fxokTJzBv3jy89NJLGDduHIALH2pYLBaNR6cNi8XS+60Bp9MJk8kEl8uF\nRx55BDNnztR6eET/ZMAcXHV2dn5vx2s0GhEIBDQcUfTIzc3Frl27AFy4+FlbW9ugfoPzd7fccgsM\nBkPv3xcuXIjS0lLcfvvtaG1txeTJkzUcnXZiY2MRFxeHzs5OPProo3jssccAAK2trdizZw/uuusu\njUeoPb1ej6VLl6K0tBR33HEHGhsbYbfbsWHDBqSlpWHdunVaD1ETW7ZsQUpKCqZOnYpgMIhgMIi8\nvDz8/ve/x1tvvYXMzEy88sorWg9TMzExMVi8eDFef/11LF++HL/73e9QWFiIwsJCxMbGYjBf+aSt\nrQ3V1dV4+eWXsXz5cixZsgQ6nQ7Nzc2488474XA4+HV2XPjq5G9/+1sAQGpqKgBg3759ePvttwft\n2eGCggK43W7MmDEDTz/9NBYuXIiMjAxcddVVWg+N6F8aMAdX8fHx6Orq6v17IBAYtN/N/v/mzJkD\nq9WK++67D5WVlcjOzobdbtd6WFHniSeewNtvv42PPvoIM2fOxHPPPaf1kDTT3NyM+++/H7Nnz8Zt\nt90GAPj4449xxx13QKfTaTy66FBeXo7t27ejuLgYCQkJuPHGGwEAN910E44cOaLx6LSxZcsWfPbZ\nZ1i4cCFqampQWFiI66+/HhMmTABw4QONmpoajUepnezs7N5P0rOzs9HU1ISTJ0/2HkzU1taivLxc\n41Fqw263Y9q0aTAajcjJyYHFYkFrayvS09Oxfft23H333YN22fyd0+lEfX399z74++ijj1BSUoJ1\n69YhKSlJw9FpZ/369cjPz8f27duxbds2PPnkk71fwSWKRgPm6CQ/Px+ffPIJgAtnZ8aOHavxiKLH\noUOHMGXKFGzatAkzZsxAamoqzGaz1sOKOi6Xq/eH5sOGDUNHR4fGI9LGuXPnsHjxYjzxxBO93/EH\ngC+++KL366WD2fvvv4+1a9cCuPB1FL1ej2uuuab37HBVVRXGjBmj4Qi189Zbb2Hjxo3YuHEjcnNz\nsWrVKjz00EM4dOgQgAtzaOLEiRqPUjtbtmzp/dDm9OnTyMnJwfbt2/Hmm2/ixRdfxJgxY7B06VKN\nR6mNgoICfPrppwAuLBuXy4WioiI0NDQAAKxW66D/wLSqqup7XzneunUrNm3ahI0bNw7a33gCQHd3\nd+9rt81mg8/n4zeXKKoNmB+d3HLLLfjss89wzz33AMCg/4TrYjk5OXjsscewdu1aWCwWlJaWaj2k\nqFRaWopHHnkEFosFZrO593c1g83atWvR0dGBNWvW4LXXXoNOp8Of//xn1NfXs4ETwIwZM1BYWIgF\nCxbA5/OhuLgY48ePR1FRESoqKmCz2QZtk+K/UlJSgpKSEphMJgwZMgTPPvus1kPSzNy5c7Fs2TLc\nd9990Ol0WLlyJc8E/58bbrgBX375JebOnYtgMIhnnnkGVqsVhYWFMJvNiI2NHfSvXXV1db374EAg\ngJUrV2L48OF4+OGHodPpMHny5N6vDA4mixcvxtKlS3HvvffC7/djyZIlvYU6RNFIFxzMXwInIiIi\nIiIKk8F9Dp6IiIiIiChMeHBFREREREQUBjy4IiIiIiIiCgMeXBEREREREYUBD66IiIiIiIjCgAdX\nREREREREYcCDKyIiIiIiojDgwRUREREREVEY/C9jICoPFF8wqwAAAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x37a09e10>"
]
}
],
"prompt_number": 25
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Se muestra evidente viendo el heatmap anterior que lo que realiz\u00f3 el clustering es agrupar las estaciones cuya actividad se concentra en los primeros, medianos y \u00faltimos rangos."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"Image(filename=r'C:\\Users\\ghost\\Desktop\\pruebas\\ECOBICI_data\\consensus cluster datos limpios\\phase1\\consensus006.png') "
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"png": 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"prompt_number": 26,
"text": [
"<IPython.core.display.Image at 0x36f3c860>"
]
}
],
"prompt_number": 26
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"map2 = folium.Map(location=CDMX_COORDINATES, tiles='Stamen Toner', zoom_start=14)\n",
"\n",
"for i in coors.iterrows():\n",
" if 'X'+str(int(i[1][0])) in k_6.transpose():\n",
" folium.RegularPolygonMarker(\n",
" [i[1][2], i[1][1]],\n",
" popup=str(int(i[1][0])),\n",
" fill_color=palette_6[k_6.transpose()['X'+str(int(i[1][0]))][0] - 1],\n",
" number_of_sides=6,\n",
" radius=10\n",
" ).add_to(map2)\n",
" \n",
"map2"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"data:text/html;base64,
        <!DOCTYPE html>
        <head>
            
        
            <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
        
            
        
            <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet/0.7.3/leaflet.js"></script>
        
        
        
            
        
            <script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.1/jquery.min.js"></script>
        
        
        
            
        
            <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
        
        
        
            
        
            <script src="https://rawgithub.com/lvoogdt/Leaflet.awesome-markers/2.0/develop/dist/leaflet.awesome-markers.js"></script>
        
        
        
            
        
            <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/0.4.0/leaflet.markercluster-src.js"></script>
        
        
        
            
        
            <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/0.4.0/leaflet.markercluster.js"></script>
        
        
        
            
        
            <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet/0.7.3/leaflet.css" />
        
        
        
            
        
            <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css" />
        
        
        
            
        
            <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css" />
        
        
        
            
        
            <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.1.0/css/font-awesome.min.css" />
        
        
        
            
        
            <link rel="stylesheet" href="https://rawgit.com/lvoogdt/Leaflet.awesome-markers/2.0/develop/dist/leaflet.awesome-markers.css" />
        
        
        
            
        
            <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/0.4.0/MarkerCluster.Default.css" />
        
        
        
            
        
            <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/0.4.0/MarkerCluster.css" />
        
        
        
            
        
            <link rel="stylesheet" href="https://raw.githubusercontent.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css" />
        
        
        
            
            <style>

            html, body {
                width: 100%;
                height: 100%;
                margin: 0;
                padding: 0;
                }

            #map {
                position:absolute;
                top:0;
                bottom:0;
                right:0;
                left:0;
                }
            </style>
            
        
            
            <style> #map_ed59547a2b2145cc80ce393ff2af5738 {
                position : relative;
                width : 100.0%;
                height: 100.0%;
                left: 0.0%;
                top: 0.0%;
                }
            </style>
        
        
            
        
            <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet-dvf/0.2/leaflet-dvf.markers.min.js"></script>
        
        
        
        
        </head>
        <body>
            
        
            
            <div class="folium-map" id="map_ed59547a2b2145cc80ce393ff2af5738" ></div>
        
        
        
        </body>
        <script>
            
        
            

            var southWest = L.latLng(-90, -180);
            var northEast = L.latLng(90, 180);
            var bounds = L.latLngBounds(southWest, northEast);

            var map_ed59547a2b2145cc80ce393ff2af5738 = L.map('map_ed59547a2b2145cc80ce393ff2af5738', {
                                           center:[19.4186,-99.1686],
                                           zoom: 14,
                                           maxBounds: bounds,
                                           layers: [],
                                           crs: L.CRS.EPSG3857
                                         });
            
        
        
            
            var tile_layer_db4ec9c668e34f9aaecd3ce95984df2d = L.tileLayer(
                'https://stamen-tiles-{s}.a.ssl.fastly.net/toner/{z}/{x}/{y}.png',
                {
                    maxZoom: 18,
                    minZoom: 1,
                    attribution: 'Map tiles by <a href="http://stamen.com">Stamen Design</a>, under <a href="http://creativecommons.org/licenses/by/3.0">CC BY 3.0</a>. Data by <a href="http://openstreetmap.org">OpenStreetMap</a>, under <a href="http://www.openstreetmap.org/copyright">ODbL</a>.',
                    detectRetina: false
                    }
                ).addTo(map_ed59547a2b2145cc80ce393ff2af5738);

        
        
            
            var regular_polygon_marker_7ff01da71f7040f18f8d60e4f2afb1ab = new L.RegularPolygonMarker(
                new L.LatLng(19.43293,-99.16848),
                {
                    icon : new L.Icon.Default(),
                    color: 'black',
                    opacity: 1,
                    weight: 2,
                    fillColor: '#FB9A99',
                    fillOpacity: 1,
                    numberOfSides: 6,
                    rotation: 0,
                    radius: 10
                    }
                )
                .addTo(map_ed59547a2b2145cc80ce393ff2af5738);
            
        
            
            var popup_81557da8ba9f49f4b0cd9c6f66f4cbce = L.popup({maxWidth: '300'});

            
                var html_120e9121e9b944e6a80a55a8fcb5f964 = $('         <div id="html_120e9121e9b944e6a80a55a8fcb5f964"                 style="width: 100.0%; height: 100.0%;">                 1</div>                 ')[0];
                popup_81557da8ba9f49f4b0cd9c6f66f4cbce.setContent(html_120e9121e9b944e6a80a55a8fcb5f964);
            

            regular_polygon_marker_7ff01da71f7040f18f8d60e4f2afb1ab.bindPopup(popup_81557da8ba9f49f4b0cd9c6f66f4cbce);

            
        
        
            
            var regular_polygon_marker_82a2ffe1d2884ffe99075cab4823576b = new L.RegularPolygonMarker(
                new L.LatLng(19.43159,-99.17151),
                {
                    icon : new L.Icon.Default(),
                    color: 'black',
                    opacity: 1,
                    weight: 2,
                    fillColor: '#1F78B4',
                    fillOpacity: 1,
                    numberOfSides: 6,
                    rotation: 0,
                    radius: 10
                    }
                )
                .addTo(map_ed59547a2b2145cc80ce393ff2af5738);
            
        
            
            var popup_ba0eb4970166496ab83af654a50f4ae3 = L.popup({maxWidth: '300'});

            
                var html_7e6621d9de5c4b4a9b57b525ff97f078 = $('         <div id="html_7e6621d9de5c4b4a9b57b525ff97f078"                 style="width: 100.0%; height: 100.0%;">                 2</div>                 ')[0];
                popup_ba0eb4970166496ab83af654a50f4ae3.setContent(html_7e6621d9de5c4b4a9b57b525ff97f078);
            

            regular_polygon_marker_82a2ffe1d2884ffe99075cab4823576b.bindPopup(popup_ba0eb4970166496ab83af654a50f4ae3);

            
        
        
            
            var regular_polygon_marker_9a950e1f1fb344a69fe9792fcb0a23cf = new L.RegularPolygonMarker(
                new L.LatLng(19.43166,-99.15875),
                {
                    icon : new L.Icon.Default(),
                    color: 'black',
                    opacity: 1,
                    weight: 2,
                    fillColor: '#E31A1C',
                    fillOpacity: 1,
                    numberOfSides: 6,
                    rotation: 0,
                    radius: 10
                    }
                )
                .addTo(map_ed59547a2b2145cc80ce393ff2af5738);
            
        
            
            var popup_53ab8eeb67964abf9027bd00df90dd68 = L.popup({maxWidth: '300'});

            
                var html_a1f65b54a92b4426bec4801e76a93d25 = $('         <div id="html_a1f65b54a92b4426bec4801e76a93d25"                 style="width: 100.0%; height: 100.0%;">                 3</div>                 ')[0];
                popup_53ab8eeb67964abf9027bd00df90dd68.setContent(html_a1f65b54a92b4426bec4801e76a93d25);
            

            regular_polygon_marker_9a950e1f1fb344a69fe9792fcb0a23cf.bindPopup(popup_53ab8eeb67964abf9027bd00df90dd68);

            
        
        
            
            var regular_polygon_marker_c7228bcc7e9d4a308d96724e4f50c3db = new L.RegularPolygonMarker(
                new L.LatLng(19.42849,-99.17169),
                {
                    icon : new L.Icon.Default(),
                    color: 'black',
                    opacity: 1,
                    weight: 2,
                    fillColor: '#A6CEE3',
                    fillOpacity: 1,
                    numberOfSides: 6,
                    rotation: 0,
                    radius: 10
                    }
                )
                .addTo(map_ed59547a2b2145cc80ce393ff2af5738);
            
        
            
            var popup_6d0e31827fb44d5ab42f097c2f491ff6 = L.popup({maxWidth: '300'});

            
                var html_e6ad56e806fd4eaa91ae947ed191f165 = $('         <div id="html_e6ad56e806fd4eaa91ae947ed191f165"                 style="width: 100.0%; height: 100.0%;">                 4</div>                 ')[0];
                popup_6d0e31827fb44d5ab42f097c2f491ff6.setContent(html_e6ad56e806fd4eaa91ae947ed191f165);
            

            regular_polygon_marker_c7228bcc7e9d4a308d96724e4f50c3db.bindPopup(popup_6d0e31827fb44d5ab42f097c2f491ff6);

            
        
        
            
            var regular_polygon_marker_723c80fa9f514611bb9ddb6169851c8e = new L.RegularPolygonMarker(
                new L.LatLng(19.4298,-99.16945),
                {
                    icon : new L.Icon.Default(),
                    color: 'black',
                    opacity: 1,
                    weight: 2,
                    fillColor: '#E31A1C',
                    fillOpacity: 1,
                    numberOfSides: 6,
                    rotation: 0,
                    radius: 10
                    }
                )
                .addTo(map_ed59547a2b2145cc80ce393ff2af5738);
            
        
            
            var popup_3a26c149293d4ac7b06987585e7bcf2e = L.popup({maxWidth: '300'});

            
                var html_22b6427e75be4d6b96068571fe28278b = $('         <div id="html_22b6427e75be4d6b96068571fe28278b"                 style="width: 100.0%; height: 100.0%;">                 5</div>                 ')[0];
                popup_3a26c149293d4ac7b06987585e7bcf2e.setContent(html_22b6427e75be4d6b96068571fe28278b);
            

            regular_polygon_marker_723c80fa9f514611bb9ddb6169851c8e.bindPopup(popup_3a26c149293d4ac7b06987585e7bcf2e);

            
        
        
            
            var regular_polygon_marker_68949ce4da98496d9cd0f723987947eb = new L.RegularPolygonMarker(
                new L.LatLng(19.43096,-99.16699),
                {
                    icon : new L.Icon.Default(),
                    color: 'black',
                    opacity: 1,
                    weight: 2,
                    fillColor: '#1F78B4',
                    fillOpacity: 1,
                    numberOfSides: 6,
                    rotation: 0,
                    radius: 10
                    }
                )
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        </script>
        \" style=\"position:absolute;width:100%;height:100%;left:0;top:0;\"></iframe></div></div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 27,
"text": [
"<folium.folium.Map at 0x37a09908>"
]
}
],
"prompt_number": 27
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"norm_res['cluster'] = k_6.values\n",
"temp_res = norm_res.sort_values(['cluster'])\n",
"#sns.heatmap(temp_res[temp_res.columns.difference(['cluster'])])\n",
"plot_freqHeatmap2(temp_res[temp_res.columns.difference(['cluster'])])"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
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YLYfDIR7V83SIiIiIiIhOAzG5V/nggw/KL37xC7niiivE7//nrdn29nZJSMAP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\nQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x37770390>"
]
}
],
"prompt_number": 28
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Este clustering realiz\u00f3 agrupaciones m\u00e1s ponderadas en las diferentes concentraciones de las frecuencias. Puede verse que cada uno de los 6 clusters ahora representa una concentraci\u00f3n importante en las frecuencias de las estaciones y los rangos, por otro lado las caracter\u00edsticas asociadas con las distancias entre estaciones y puntos de la ciudad no representan un patr\u00f3n visible."
]
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"Consensus clustering sobre la fase 3"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Una vez realizado el an\u00e1lisis en el periodo de la primera estaci\u00f3n, realizamos los mismo pasos para la tercer fase. es importante hacer destacar que el n\u00famero de rangos aumenta debido a la apertura de nuevas estaciones en el sistema, pasando de 90 estaciones a 266 aunque la idea fundamental debe prevalecer: las caracter\u00edsticas para cada estaci\u00f3n a lo largo de los rangos son una descripci\u00f3n clara de la importancia que estas tienen en el sistema a lo largo de los d\u00edas."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"phase_3 = load_daytrips()\n",
"phase_3.drop([col for col in list(phase_3.columns.values) if col not in station_phase[station_phase['phase'] <= 3]['station'].values], \n",
" axis=1, inplace=True)\n",
"phase_3 = phase_3['2012-11-29':]"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 29
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"dr3 = get_dr(phase_3)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 30
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"a3 = dr3.apply(frequencyRank, axis=0).fillna(0)\n",
"plot_freqHeatmap(a3)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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CXkklNz88jOeeXMuCRVMA+N9aRch26tdcs7ZtWXOIK8d00ITaoXc/A6Dr7PEU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EVb9edwavYOanZzrPPV30e1lcloYjDjQSyV3lOF3+1URGXGA7Wau742j4MhfOqppzTHBgcH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E6euxV4+xtDCXvn2dXPaJbwLwym++A0DAO0Z23Rx2/UlEVNhsJnjhKPOWFrGnWZCr/Fcd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\nUwsb9WLlWTwPy4XzMJ9vRHReho/bLc/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7637WE/6WSafJCL7LfcUWx4HCdvkSZGr1FZW9\nkLLMSrk/GisqaUZLsVXKf6yrqUNIEJedcBha0GXv9ClJodCECUkL65qhjo2kbf1dRgHA43ZDHqYG\n7+6iNQdJYXpS+gEQCtOTWoXmc5eoO2vD7v3QD0mEQhPmkwm0Yv12xGfFwtpiRcqYPACChbDTYEHs\niO4EiubzwnmTmoMKrXcONgf0mWkwn7sE/ZBkn3aGsnI4O+xwWYXs06QOYcvhs1DqVNQl2Xb5EqyX\nmxE/ugDVm3cBAHTxOrRUG5D+k0y47Q54vKUr4kcX4OL2EgwuvNfnXpA6hG6rDaaz3a6KmrhwtF80\nIjpTeGc0g2LRWl4Dm9GOyNRIxAzP8p5zE8ISYqjlGAA6m9uEUhYyOS2BAQjWbFtTBxLuyIWtron2\na73cBJlSAW3KIPBeGUqeO3GmU6D7PRa/c60HjyDujpFwGg1wGIxQxwrfG6QshaPNCNtlwWU74e7b\nYSgrhzomAnyXB6YzwrWIzkuDTKmEuaYeF48In33670rcm5cBTZgCIyZkQjNIcD/987Id2HG6DHsO\nfyQ8O/9FstntdmPKlCnYunUr1Go15s6di+LiYsTExPQ4XlCfrvLychw4cAByuRxr1qzB1KlTAXQX\nrP9BkUqS0cPiPmhiEb+EEmSx558in+Nk8LiEl5g8jADAe3if5B7ilPykf1rjTARdMItT2JP+vPEQ\nZBHqn+reP+2/ZKHuYNckiLISUCJA9LM/1H1Rqn8/AmIkeQ84LvjxxKTf2yJeerA+Knik3ZW0DfaZ\nVB/iz4K445J7SOv/edv6/C7VV29jif7370tSmSNte4sVDdamh7lfyfjBPvNxMeW47t/7OK++PEc+\nxweZj7gf8Zz8x+ZkcsgUXleV1hYownWCIPTw8DgFtySZSg2ZMnSus/7uyQNNWVkZ7rnnHgDAiBEj\nUFlZGdLxGNcOUsqF93RBrg7zeYbpxof3u5zE/NsuX4KrwwJ1rLDI6nI6oUtLD+ibuHi1HCiDNkVY\nnCp0Qh/qmDiqPHByGXRp6aj9Yg+ib0nqXgwahBghdWwETn4muAHGpkfC4/JAqVWiuboNuQ+NBgAh\n5m50Hk1aYTwnLCKzHppAXQjJAjvipkRYLrUgemgm3GYzmvZXAQAMte3ImjwUHocTJzcfAAAMuiUO\nMSOy4WwzoW5/NTImCbGVtrpGaFMSYam5DFWU95ziYmCra4LH5YYyXEM3hOyN9ZAplbBcqINusNcN\nsPIcTbxycXsJEu4QYgHrvz+N1HHDYW+sR1tFjXAvvO6ZHlcXovPSaVIZTVLPSmPdN3upgsPzPGyN\nJoQl1AcUZe9saQbf5cb+9f8BANy1aJxPLKC/sikV+0biCsXHqWPjfRQ8ALA3GahSSvoVxx6Sfm2X\nL8F8vpHOk7jqms83IjJbcMdXxwuLeZKsLCw+AR6Hg7bVD0n06YOQ/cBIdHU6EJnd/R0tleyHlJ0A\nIFmAnijSYsXbvx/LhfPQJCZjcKFvrJ/4+omVpqhcQbkX1yEEQN15g7l0kmeNth/t+/fBqWkBmwRS\nmx7i/okyCADalATEFuTDYWih9w/ouRamf9wu2dQRb8DE3TGSfsbzvM/fXB0mqKKifJ4p8fXVZwmK\nrdtuhUKjgzYlFdHDhA2pJ9//CAunj4Sh0Qqn1QHTIeFdGn5TPMrrQ1QfGNdWNp87dw7p6ekI9ybb\nKSgoQGlpKe6///4e+wy6UvnLX/6Czz//HB6PB8888wycTiemT5+OIAbF0CK1eO7BahM0dslPOfRv\nR5UXjqPFqsVj+UxBpGj1JVEMmb/YKsTJuxU08SKU9OFjHQmi+PnUeePR3ZbjpJUz+D6oYmuJj6Ip\nhZSFSdSH1ILZZ95+SkePC/jeFL6eNgTE8XRXYhWUUuh6sv5JWUBDjb8VUTw/8nmw9j1xrSy3PXE9\nxAh759fTLr4qKhqvzXwLALD6mzUhGT9UWCwWn6zSCoUCHo8HMtn1l1Kb0TNCUWcAUKLL0SnEU3uR\nh2l92tKFl4SViCzqnSYhNkgVFU2TQkTlZdKfxdY+stBzdZhgqTmH9J+OpW0AYcFHEpbkexd/jrZW\nOFoMCEuIQ0x+F13UamKFhXv7iZOILciHbrCgFBBlS/yuOtpaER0ZgbD4BBgu1iMqR1gEp00ZA6fJ\nCFNlNW6ZeQcA4R1vPXgE+uzBuKVoErVKOYxWxOQnwFJzmS7GHYYW2BpN6HJ2ISzKBafpCACgvqIe\nibmDoM9KoXMw1poQlZuOzpZm6JK6k+gk33WzMK+ycmgThWumSUrwm7+gEDpaDFDHx3qtT7XCtbQ6\nMbjwXoQNSkLKxO7Fur2xHikT76aF0YmFUKx0iIuCiyHHxBbko7OpAdrUNKrYcBwHl9kqqTCRWDVS\nvy8yJyVAGQR8LYQEbWoatKlpNDMrOf+kcQl0/v5j+mdMbajcT38WJ6vRJCbDcuF8UGsniZELG5TU\no0WUZHxVxwj3j1j8AN9rRrBcOA+HoZ2ev1Tf5LqIj+tsavDJ0knGDjY3qb8RK3Kw2NmAhELeTQLx\nfSLvohin0QCP0wlOoei3Vd3fC0AqqYwUCo2OfjcRz4TDx7fSv4u9iHIATHTNwm3DZgAAKmpL+jXn\nAK6hbPb/m06ng9ls7rXPoC6jjzzyCD7++GM68KOPPooXX3wR69at++EthAwGg8H4wVm9ejXy8/Mx\nadIkAMDYsWOxZ8+eazspBoPBYDBuYHqSzadPn8bbb79NK0KsWrUKBQUFmDhxYo99Bt3mTUlJwapV\nq2Cz2RAeHo61a9fijTfeQE1NzQCdDoPBYDB+zIwcORIlJcLOaXl5OXJycq7xjBgMBoPBuLHpSTZn\nZmaitrYWHR0dcDqdKC0tRX5+oCu0P0EthG63G9u2bcPkyZNpZtHW1la89957WLJkyUCcD4PBYDB+\nxPA8j2XLluH06dMAhJ3GIUOG9HIUg8FgMBiMUCElm6uqqmC32zFr1izs2bMHa9euBc/zmDlzJubO\nndtrn0EVQgaDwWAwGAwGg8Fg/HfDMgMwGAwGg8FgMBgMxg0KUwgZDAaDwWAwGAwG4waFKYQMBoPB\nYDAYDAaDcYMSkorJ4mBHlUqFlStXIi0teA2XgcDtduOVV15BXV0dXC4XFi1ahPz8fCxduhRmsxk8\nz2PNmjVISUnpvbOrZMaMGbQQZGpqKubPn48333wTcrkcKpUKb731FmJiYkIy9j//+U9s3boVHMfB\n4XDg1KlT+Oijj7BmzRpwHIeMjAysXLlywMc9duwY/vCHP2Djxo24ePEiFi9eDJlMhuzsbLz++uu0\nHc/z+OUvf4kJEyZg9mzpGkf9Hb+6uhqvvfYaACA9PR0rV66ETCbD5s2b8dlnn0GpVGLRokUYO3Zs\nSMY/efIknnjiCWRkZAAA5s6di8mTJ6OkpATr1q0Dx3EYOnQoli5dGpLxa2pqsHTp0oD7/cEHH2DH\njh3gOA5jxozBU0891e9xpd63rKwsyfu/adMmbNmyBTKZDE888QQmTJjQS+9XPnZ6ejpeffVVAL73\nHhj4Z+9KvmtC+ewxGFcKk81MNjPZzGQzk81MNkvCh4BvvvmGX7x4Mc/zPF9eXs4/+eSToRjGhy1b\ntvC/+93veJ7neZPJxI8dO5ZfvHgx/+WXX/I8z/MHDhzgd+/eHbLxHQ4HP336dJ/P5s2bx586dYrn\neZ7/9NNP+VWrVoVsfDHLly/nN2/ezD/77LP8d999x/M8zz///PMDfv7r16/nCwsL+dmzZ/M8z/OL\nFi3iS0tLeZ7n+ddee43fuXMnbfvOO+/ws2fP5j/99NOQjf+rX/2KP3z4MM/zPL948WJ+586dfEtL\nC19YWMi7XC7ebDbzhYWFvNPpDMn4mzdv5jds2ODTxmKx8IWFhbzRaOR5nueLi4t5g8EQkvGl7vfF\nixf5Bx98kB4zZ84c/vTp0/0eW/y+tbe382PHjpW8/1arlR8/fjzvdrv59vZ2fty4cSEZ+6mnngq4\n94SBfvb6+l0TymePwbgamGwWYLKZyWYmm5lsZrLZl5C4jJaVleGee+4BAIwYMQKVlZWhGMaHyZMn\n45lnngEAeDweyOVyHDlyBI2NjXjsscewfft2jB49OmTjnzp1CjabDQsXLsSCBQtw7Ngx/PGPf8TN\nN98MQNi5UKvVIRufcPz4cVRXV2PWrFlQq9UwmUzgeR5WqxUKxcAahNPT0/Huu+/S36uqqnDbbbcB\nAMaMGYP9+/cDAL7++mvIZDLcfffdIR1/7dq1KCgogNPpREtLC/R6PSoqKlBQUACFQoHw8HBkZGTQ\nNL0DPX5VVRX27NmDefPmYenSpbBarTh69ChycnKwevVqPPLII4iPjx+wnWj/8aXud3JyMt5//33a\nZqCeQ/H71tXVBblcjhMnTgTcf47jwHEcrFYrbDYb3RkcyLEVCoXkvQdC8+z19bsmlM8eg3E1MNnM\nZDOTzUw2M9nMZLMUIVEILRYLvekAoFAo4PF4QjEURaPRQKvVwmKx4JlnngYxs4cAAAVNSURBVMGz\nzz6Luro6REVFYcOGDUhMTERxcXHIxg8LC8PChQvx17/+FcuWLcMLL7xAv1yOHDmCTZs2YcGCBSEb\nn1BcXIynn34aAFBUVIQVK1Zg6tSpaGtrw6hRowZ0rPvuuw9yuZz+zosqmOh0OpjNZpw9exbbt2/H\nb37zmwEdW2p8juPQ0NCABx54ACaTCbfcckvAs6jVamE2m0My/ogRI/DSSy/hb3/7G1JTU7F27VoY\njUYcPHgQL730EtavX48PP/wQtbW1IRlf6n7L5XJERUUBANasWYO8vDykp6f3e2yp903q/ms0Gkyd\nOhVTpkzBgw8+iKKiopCMDSDg3p85cyYkz15fv2tC+ewxGFcDk81MNjPZzGQzk81MNksREoUwPDwc\nVquV/u7xeAZk96E3Ghoa8Oijj2L69OmYOnUqoqKiMG7cOADA+PHjUVVVFbKxMzIyMG3aNPpzVFQU\nWlpasGPHDixfvhzFxcWIjo4O2fgAYDabceHCBdx+++0AgBdffBGbNm3Cjh07MG3aNKxevTqk44vv\nsdVqRUREBL744gs0Nzdj/vz52Lp1KzZs2IC9e/eGbA5JSUn4+uuvMXv2bKxatQp6vR4WiyVgXqFg\nwoQJyMvLAyAIhFOnTiE6OhrDhg1DTEwMtFotbrvtNpw8eTIk4we7306nE88//zzsdjuWLVs2YOP5\nv29S9//o0aM4evQodu/ejd27d2PXrl04fvz4gI49ZcoUAIH3ftu2bSF79nr7rqmsrPxBnz0Goy8w\n2cxkM5PNTDYz2cxksxQhkQQjR45ESUkJAKC8vBw5OTmhGMaH1tZWLFy4EC+++CKmT58OACgoKKDz\nKC0tRVZWVsjG37p1K33Jm5qaYLVacfDgQXz88cfYuHFjSAPmCaWlpT6uN3a7nQbSDxo0CB0dHSEd\nPy8vD6WlpQCA7777DgUFBXjhhRfw2WefYePGjZgxYwYee+yxAXdPISxatIju8Ol0OshkMgwbNgxl\nZWVwOp0wm82oqalBdnZ2SMb/+c9/Tr9Q9+/fj1tvvRV5eXk4e/YsTCYT3G43jh07FrLnMNj9fvLJ\nJ5Gbm4tly5aB47gBGUvqfcvNzQ24/zabDRqNBkqlEiqVCnq9vt87cVJjS937UD17ffmuyc7O/kGf\nPQajLzDZzGQzk81MNjPZzGSzFCHJMnrfffdh3759mDNnDgBg1apVoRjGh/feew8dHR1Yt24d3n33\nXXAchzVr1mDJkiX45JNPoNfr8fbbb4ds/JkzZ+KVV17BI488Ao7jsHLlSixatAjJycl46qmnwHEc\nRo0ahV//+tchm8P58+d9MsatXLkSTz/9NNRqNVQqFd58882QjQ0AL7/8Ml599VW4XC5kZmZi0qRJ\nIR3PnyeeeAKLFy+GSqWCRqPBihUrEBcXh6KiIjz88MPgeR7PPfccVCpVSMZfvnw5li9fDqVSifj4\neLzxxhvQ6XR47rnn8Pjjj4PjOEyZMiVkQmfFihUB93vXrl04fPgwXC4XSkpKwHEcnn/+eYwYMaJf\nY0m9b0uWLMGKFSt87j/Hcdi3bx9mzZoFuVyOgoIC3HXXXQM+9rPPPhtw70NFX79r9Hr9D/bsMRh9\ngclmJpuZbGaymclmJpul4HixczGDwWAwGAwGg8FgMG4YWGF6BoPBYDAYDAaDwbhBYQohg8FgMBgM\nBoPBYNygMIWQwWAwGAwGg8FgMG5QmELIYDAYDAaDwWAwGDcoTCFkMBgMBoPBYDAYjBsUphAyGAwG\ng8FgMBgMxg0KUwgZDAaDwWAwGAwG4waFKYQMBoPBYDAYDAaDcYPy/wwNiPj2dykFAAAAAElFTkSu\nQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x37649278>"
]
}
],
"prompt_number": 31
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#distEP = points.groupby(['estacion','punto']).min()\n",
"#distEP = distEP.unstack()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 34
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#res3 = pd.concat([a3,distEP[:268]],axis=1)\n",
"#norm_res3 = normalizeColumns(res3)\n",
"res3 = a3\n",
"norm_res3 = normalizeColumns(res3)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 35
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"palette3_3 = ['#A6CEE3','#1F78B4','#B2DF8A']\n",
"palette3_6 = ['#1F78B4','#FB9A99','#A6CEE3','#E31A1C','#33A02C','#B2DF8A']"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 36
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"k3_3 = pd.read_csv(r'C:\\Users\\ghost\\Desktop\\pruebas\\ECOBICI_data\\consensus cluster datos limpios\\clases_3_phase3.csv')\n",
"k3_6 = pd.read_csv(r'C:\\Users\\ghost\\Desktop\\pruebas\\ECOBICI_data\\consensus cluster datos limpios\\clases_6_phase3.csv')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 37
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"Image(filename=r'C:\\Users\\ghost\\Desktop\\pruebas\\ECOBICI_data\\consensus cluster datos limpios\\phase3\\consensus014.png') "
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"png": 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"prompt_number": 38,
"text": [
"<IPython.core.display.Image at 0x2f1f5c50>"
]
}
],
"prompt_number": 38
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"Image(filename=r'C:\\Users\\ghost\\Desktop\\pruebas\\ECOBICI_data\\consensus cluster datos limpios\\phase3\\consensus015.png') "
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"png": 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gcRAsDoLFQbA4CBYHweIgWJyaBb9899o+EBgEi1O54JdH22aV+FQueOm3RyQodQv+q7zf\nugU//v138QK6csHfn1byWbhywfoN6coFG3Z6zoSaBVcBgsVBsDgIFgfB4iBYHASLg2BxECwOgsVB\nsDgIFgfB4iBYHASLg2BxECwOgsX5P5VYMXS6fRI1AAAAAElFTkSuQmCC\n",
"prompt_number": 39,
"text": [
"<IPython.core.display.Image at 0x2f1f53c8>"
]
}
],
"prompt_number": 39
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Una vez m\u00e1s para realizar el an\u00e1lisis se tomaron K = 3 y K = 6 por motivos similares a los anteriormente planteados."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"Image(filename=r'C:\\Users\\ghost\\Desktop\\pruebas\\ECOBICI_data\\consensus cluster datos limpios\\phase3\\consensus016.png') "
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"png": "iVBORw0KGgoAAAANSUhEUgAAAeAAAAHgCAMAAABKCk6nAAAAtFBMVEUAAAAAADoAAGYAOjoAOmYA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\nZO8AAAAASUVORK5CYII=\n",
"prompt_number": 40,
"text": [
"<IPython.core.display.Image at 0x2f1f5cf8>"
]
}
],
"prompt_number": 40
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Cabe se\u00f1alar que el tracking plot en este caso muestra algunos puntos que cambiaron gradualmente de cluster, exponiendo su inestabilidad y falta estructura para las medidas del cluster utilizadas."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"map4 = folium.Map(location=CDMX_COORDINATES, tiles='Stamen Toner', zoom_start=14)\n",
"\n",
"for i in coors.iterrows():\n",
" if 'X'+str(int(i[1][0])) in k3_3.transpose():\n",
" folium.RegularPolygonMarker(\n",
" [i[1][2], i[1][1]],\n",
" popup=str(int(i[1][0])),\n",
" fill_color=palette3_3[k3_3.transpose()['X'+str(int(i[1][0]))][0] - 1],\n",
" number_of_sides=6,\n",
" radius=10\n",
" ).add_to(map4)\n",
" \n",
"map4"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
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