From 4fd7dde71930757df5c0ed09d4c70b37313936ec Mon Sep 17 00:00:00 2001 From: Jacob Tindan Date: Fri, 14 Jun 2024 18:10:38 +0000 Subject: [PATCH] almost final additions --- SOM_notebook.ipynb | 368 ++++++----------------------------------- box_plots.png | Bin 210503 -> 182984 bytes data_exploration.ipynb | 180 ++++++++++++++++++-- feature_patterns.png | Bin 107308 -> 119604 bytes 4 files changed, 222 insertions(+), 326 deletions(-) diff --git a/SOM_notebook.ipynb b/SOM_notebook.ipynb index 31f799c..6ccf8f0 100644 --- a/SOM_notebook.ipynb +++ b/SOM_notebook.ipynb @@ -1,29 +1,16 @@ { "cells": [ - { - "cell_type": "markdown", - "id": "eeea17f5-a63e-40bb-b6a1-92613d4f5944", - "metadata": {}, - "source": [ - "## Key packages\n", - "| package | Use |\n", - "| --- | --- |\n", - "| [minisom package](https://github.com/JustGlowing/minisom/blob/master/Readme.md) | Self-organizing maps (SOM) |\n", - "| [scikit-learn packages](https://scikit-learn.org/stable/index.html) | Machine learning |\n", - "| [matplotlib](https://matplotlib.org/3.1.1/index.html) | for plotting |" - ] - }, { "cell_type": "markdown", "id": "47e54908-4bfb-4b41-a160-2daf0b8ba013", "metadata": {}, "source": [ - "## Load python packages" + "# Self-organizing Maps (SOM)" ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 7, "id": "07b67856-a1f1-439f-a3ea-8c791bda122a", "metadata": {}, "outputs": [ @@ -31,7 +18,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "Requirement already satisfied: minisom in /srv/conda/envs/notebook/lib/python3.11/site-packages (2.3.2)\n" + "Collecting minisom\n", + " Using cached MiniSom-2.3.2-py3-none-any.whl\n", + "Installing collected packages: minisom\n", + "Successfully installed minisom-2.3.2\n" ] } ], @@ -64,16 +54,15 @@ }, { "cell_type": "markdown", - "id": "2d888b0a-7c84-42b1-985b-183371a052e2", + "id": "e3fdb20f-3e27-49a1-9162-1d65e2a1483f", "metadata": {}, "source": [ - "### Global figure settings\n", - "This piece of code sets the font size, line widths, figure title size, and resolution for all figures generated in this cookbook." + "## Global figure settings" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 8, "id": "f5cea0ee-b21b-4f69-9634-d0d757cb7a10", "metadata": {}, "outputs": [], @@ -92,7 +81,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 9, "id": "0a40e38e-f1e6-466b-82b4-b105ddd3a729", "metadata": {}, "outputs": [], @@ -112,7 +101,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 10, "id": "0ab63d5c-c924-4646-b641-e3baa0eca610", "metadata": {}, "outputs": [ @@ -148,106 +137,24 @@ "\n", "# print first 5 rows of data\n", "print(dust_df.head())\n", - "feature_names = dust_df.columns\n", - "pm_df = dust_df['PM10'].values" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "a27e6f83-8ada-4791-b138-3b4d53a5cfd4", - "metadata": {}, - "outputs": [], - "source": [ - "dust_df_new =dust_df.reset_index()\n", - "dust_df_new['time'] = pd.to_datetime(dust_df_new['time'])\n", - "dust_df_final = dust_df_new.set_index('time')\n", - "dust_df_nc = dust_df_final.to_xarray()\n", - "\n", - "dust_deseas = dust_df_nc.groupby('time.dayofyear').apply(remove_time_mean).to_dataframe()" - ] - }, - { - "cell_type": "markdown", - "id": "de70e7bc-ab6d-4a21-91e0-248e290fa260", - "metadata": {}, - "source": [ - "# Variables exploration" - ] - }, - { - "cell_type": "markdown", - "id": "c7324180-72a8-4c4e-9ece-db073445f01a", - "metadata": {}, - "source": [ - "Some machine learning models do not perform well when there are outliers in the data. This section explores the data for any potential outliers. The boxplots show there are outliers in the data, hence we need to use a scaling method which is robust on outliers. " - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "75d9d6a1-5f1a-43ed-bf51-37f29e23a712", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots(3,4, figsize=(25,12))\n", - "ax = ax.flatten()\n", - "for ind, col in enumerate(feature_names):\n", - " ax[ind].boxplot(dust_df[col].dropna(axis=0), \n", - " notch=True, whis=1.5, \n", - " showmeans=True)\n", - " ax[ind].grid(which='minor', axis='both')\n", - " ax[ind].set_xticklabels([''])\n", - " ax[ind].set_ylabel(col)\n", - " #ax[ind].set_title(col)\n", - " ax[ind].set_facecolor('white')\n", - " ax[ind].spines['bottom'].set_color('0.1')\n", - " ax[ind].spines['top'].set_color('0.1')\n", - " ax[ind].spines['right'].set_color('0.1')\n", - " ax[ind].spines['left'].set_color('0.1')\n", - " ax[ind].grid(True)\n", - " ax[10].set_axis_off()\n", - " ax[11].set_axis_off()\n", - "fig.tight_layout()\n", - "plt.savefig('box_plots.png')" + "feature_names = dust_df.columns" ] }, { "cell_type": "markdown", - "id": "7ed7e564-a818-4b01-bc29-7265085e1434", + "id": "1c0b471c-1b1d-4a53-91d4-853a508d0309", "metadata": {}, "source": [ - "# Scaling the variables" - ] - }, - { - "cell_type": "markdown", - "id": "53922952-e823-455c-91a9-48d286eab831", - "metadata": {}, - "source": [ - "As you can see, there is a large range of values among variables. SOM is scale variant, so To not influence the results as it is the case in many unsupervised machine learning models, it is important to scale them. Many scaling methods exist but we will use the robust scaling method since this takes care of outliers." + "## Scaling the variables using the robust scaling method " ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 11, "id": "6ff19e0f-85db-42d2-b452-0ccbf4e869ed", "metadata": {}, "outputs": [], "source": [ - "# testing between standardization and normalization scaling \n", - "\n", "# normalization by minmax scaling \n", "minmax_sc = preprocessing.MinMaxScaler(feature_range = (0, 1))\n", "minmax_sc.fit(dust_df)\n", @@ -280,7 +187,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 12, "id": "226538c5-64b6-4194-bd32-22fc9590b445", "metadata": {}, "outputs": [ @@ -347,25 +254,25 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 13, "id": "15b0961f-476d-4bff-8bd5-a88932f346d5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 16, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] }, "metadata": {}, @@ -376,48 +283,28 @@ "from pylab import bone, pcolor, colorbar, plot, show\n", "bone()\n", "pcolor(som.distance_map().T, cmap='bone')\n", - "colorbar()\n", - "\n", - "markers = ['o', 's']\n", - "colors = ['r', 'g']\n", - "\n", - "# for i, x in enumerate(minmax_scaled_df):\n", - "# #print(i)\n", - "# w = som.winner(x)\n", - "# plot(w[0]+0.5,\n", - "# w[1]+0.5,\n", - "# markers[pm_loc[i]],\n", - "# markeredgecolor = colors[pm_loc[i]],\n", - "# markerfacecolor = 'None',\n", - "# markersize=10,\n", - "# markeredgewidth=2)" + "colorbar()" ] }, - { - "cell_type": "code", - "execution_count": null, - "id": "dc7b9a2c-4bc5-4afd-a68f-630243325869", - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "id": "bff2066e-c5b6-4ada-b00e-da6652e20d74", "metadata": {}, "source": [ - "## Feature plane\n" + "## Feature plane\n", + "\n", + "This is a map for each variable used, and it shows the magnitude of the weights associated to it for each neuron." ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 15, "id": "e174184e-7175-490c-8bd3-c155198f9965", "metadata": {}, "outputs": [ { "data": { - "image/png": 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kJSUlNrepWbOmjBgxQl544QVJTEx0uo6CggJZsWKFrFy5UlavXi379u1zuH1sbKzcfffd8p///EfatGnjdH0i1seUrnjuuefkgw8+qNQ+POXo0aPSpEkTXdtGRERIXFycJCUlSfv27aVr165y1113SXx8vIdbCQDwBhKlvCwnJ0dycnLk1KlTsnXrVpkyZYrEx8fLyy+/LM8884wEB/OWAAB8S0ZGhnz88ceadW+++aYhbQE87Y8//pBZs2bJkiVLdA0MNWrUSG688UZ54IEHpGfPnhIQEOCFVgJA1VdUVCRPP/20TJ061eimADDY22+/Ldu3b5dt27ZJamqqV+tetGiRjBgxQjIzMx1ul5WVJZMnT5bZs2dLcnKy3HHHHd5pIAAA8ClpaWlyzz33yK+//qpr2w8++ED+97//ycyZM+X222/XXc/DDz8s33zzjeTk5Oguk5mZKdOnT5f//e9/8uSTT8r7778vERERustDKz8/X/Lz8+X06dPy119/ycyZM+Xpp5+WYcOGyYQJEyQ2NtboJgIAKoGsHB+Qnp4uzz//vCxZskR+/PFHiY6ONrpJAACYZWRkyFtvvaVZR6IU/M3u3bvl2WeflVWrVjlV7tixYzJt2jSZNm2aNG3aVN58800ZPHiwBAZyh2s4h6RUVDePPfaYzJgxw+hmAPABb7zxhiH1zpkzR4YOHSpKKav/hYeHi1JKCgsLNeszMzNl4MCBMnv2bBk8eLC3mgoAAHzAkSNH5Prrr5fDhw/b/H9MTIwUFRVJQUGBZn16eroMGDBAZsyYIcOHD9dV1w8//OAwSSo4OFhiYmIkMzPT6hZ/SimZPHmybN68WX799VeJiYnRVScqlp+fL1OnTpWffvpJlixZIu3atTO6SQAAF5Eo5WYtWrSQZ5991ub/SktLJSsrSw4cOCBr166VI0eOaP6/YcMGue2222T16tXMRgAAAOAFSimZOHGivPLKK3anShcRCQgIkLi4OCkpKZGcnBybJ9QOHz4sQ4cOlc8++0y2bNniyWbDD5GUiupky5YtVklSzZo1kzvvvFMaNGggISEh5vV6b4sAAM7Yvn27jBw5UhPTRUREyDPPPCOjRo0y37b0yJEj8uWXX8onn3xiPulpMpnkwQcflJYtW0rHjh2NaD4AAPCy/Px8GTBggFWSVNu2beXVV1+Vvn37midBOHbsmHz33Xfy3nvvmWetVErJqFGjpHnz5tKjRw+n6y87Xrrmmmukc+fOUrNmTQkICBCTySR//fWXfPPNN/L5559Lbm6uucz27dvljjvukF9//dXlc46jR4+WSy+91KkyV155pUt1GcXec8zJyZETJ07ImjVr5O+//9b879ixY3LLLbfIli1bpEGDBt5qKgDAjUiUcrO6devKo48+WuF2SilZtGiRPPLII3L+/Hnz+rVr10pycrKMGDHCk80EAACo9kwmkzz00EMyc+ZMq//VrVtXBgwYIDfffLN07NhREhMTJSgoSERECgsLZf/+/bJhwwZZtGiRrF69WnP13t69e732HACgKvryyy81y71795YVK1ZIWFiYQS0C4CtCQ0PliiuukI4dO0qnTp2kdu3a0r9/f7fX88QTT0hRUZF5OTY2VpYtW2Z14rJp06YyYcIE6devn/Tv3998srOoqEiefPJJkuN9XHJysiQnJxvdDACAH3jllVfkr7/+0qwbOnSozJgxwzxeVKZRo0YyduxYue+++6RPnz5y8OBBEREpKSmRRx55RHbt2mVVxpaAgAC588475fHHH5drr73WZrJTYGCgXHXVVXLVVVfJyJEjpX///nLgwAHz/9esWSMzZ86UBx980JWnLbfddpv07t3bpbJVhZ7nuHLlShkxYoScOnXKvO7UqVPy1FNPyeLFiz3bwGqE2A2AN3FPEIOUBTg///yzBAdr89WmTp1qUKsAAACqjyeffNIqSSoqKkrGjRsnBw8elE8//VT69esnl1xyiWYAKywsTNq0aSOPPfaYrFy5Uvbt2ycjRoxgRlD4hN69e4tSyvxYu3at0U2CFx09elTz/pfNiOJr1q9fr1l+6aWXSJICqrERI0bIZ599Jlu3bpWsrCzZsWOHfPHFF/LQQw/JFVdc4fb6Fi1aJL///rtm3f/93/85nN2hZ8+eVrfI3bp1KyfGAACoBs6ePWt13q5Lly4yc+ZMhwlPDRo0kOXLl0t4eLh53Z49e2TWrFkV1nnzzTfLjh07ZP78+dKnTx9dY04tW7aUn376SaKiojTr33vvvQrLwrEbb7xRNm/eLImJiZr1S5YskZ07dxrUKgBAZZAoZbD27dvLvffeq1m3bds2SU9PN6hFAAAA/m/GjBkyZcoUzbpLLrlEfvvtN3n55ZclIiJC976aNWsmM2bMkE2bNknTpk3d3VQA8CtFRUVy6NAhzboOHToY1BoAvmDGjBny+OOPy9VXX+2VpMnx48drlrt06SJDhw6tsNzw4cOlc+fODvcFAAD8z6xZsyQ/P1+z7uOPP5bAwIpPsV566aXy1FNPada9++67FZabOXOmXHXVVc41VC6OUT399NOadYcOHZKUlBSn9wWthg0byvvvv2+1ftGiRQa0BgBQWSRK+YAbbrhBs6yUkpMnTxrUGgAAAP926tQpGT16tGZdXFycbNiwQa688kqX99ulSxfZuXOn3HjjjZVsIQD4r7LbVpUXHx9vQEsAVEcnTpyQbdu2adY9+uijuss/8sgjmuXff/9d/v33X7e0DQAA+KZffvlFs9yqVSur5GlHHnroIc3ykSNHZMeOHW5pmy133XWX1TpmPXKPBx54QCIjIzXr1qxZY1BrAACVEVzxJvC02rVrW63LyspyeX+HDh2SP//8U86ePSvp6ekSGxsrtWrVktatW0vr1q0r01Sfc+DAAfn999/l5MmTYjKZJDExUS699FLp2rWrhISEuKWO1NRU2bRpk5w6dUoyMzMlLi5OLr30UunWrZvUqFHDLXWUUUrJoUOHZN++fXL8+HHJysoSk8kk8fHxkpiYKB06dJAmTZq4tU7L+v/++2/ZtWuXnD59WgoLCyU+Pl769evns7ft8KS8vDzZu3ev7Nu3T86dOyfZ2dkSEREh8fHxUr9+fencubPExMQY3cxKOXbsmPzxxx9y7tw5SUtLk8jISElKSpJWrVpJ27ZtPXIbKaM+ZxkZGfLbb7/Jv//+KxcuXJCoqChp3ry5dO/eXeLi4jxWb3p6umzZskXOnDkj586dk4CAAKlVq5Y0adJEunTpIqGhoR6pd8+ePbJjxw45ffq0KKWkbt26ctlll0nHjh19+vZg+fn5snHjRtm7d69kZmZKdHS0XHLJJdK9e3epX7++0c2Dn3jnnXesYq1PPvlEmjdvXul9x8TEyLffflvp/QCAv8rLy7Nap+dKbABwB8tb5QUHB8vAgQN1l7/77rtl1KhRUlpaqtnnk08+Wal2nThxQrZs2SLHjx+XgoICiY+Pl7Zt20rXrl0d3tKnzOHDh83jY8XFxZKUlCTt2rVjxj4PKC4uli1btsju3bslPT1dIiIiJCkpSTp37uyW44kyf/zxh+zZs0dOnTolSim55JJL5KqrrpJ27dq5rY7KSk1Nlb/++kuOHj0qmZmZUlRUJBERERITEyMNGzaUZs2aufU1ycnJkY0bN8r+/fslKytL4uPjpV69etKjRw+pWbOm2+oRufjctm3bJmfPnpVz585JWFiY1KpVS1q0aCEdO3bU9b10xt69eyUlJUXOnTsnFy5ckJiYGKlVq5ZcddVVcumll7qtHqPGxoCqbsuWLZrlXr16OVX+0ksvlaSkJDl79qx53cKFCz32O22r701NTfVIXd6wa9cu+eOPPyQ1NVUCAwPN5zs7duzo9WPJ0NBQ6dixo+Z28seOHauw3OnTp2Xv3r1y6NAhyczMlIKCAomNjZX4+Hhp3bq1tG3bluNiDyF2+/+I3dyH2M1PKFTKsGHDlIiYH9dcc43T+1i0aJFmHyKi/v77b6f2kZ2drd555x3VvHlzq32VfzRo0EA9//zzKi0tzan9X3PNNZr9rFmzxqnyR44c0ZRv1KhRhWUaNWpkt8758+erdu3a2X2e0dHR6oUXXlAZGRlOtbO8TZs2qWuvvVYFBgbarCM8PFyNHDlSnTx50m6bjxw5UmE9Fy5cUNOnT1cDBgxQNWvWdPj+iYiqV6+eev3119W5c+ecfk6W+yprX35+vho/fryqX7++zTpnzpypMjMzVVRUlGb9qlWrnG5DmW7dumn29dprr7m8L1tmzpyp2f+wYcN0lfv777/V66+/rrp27apCQkIcvheBgYGqW7duat68eaq0tLTCffvKa5ienq5ef/11demllzp8frVr11Zjxoxxur+ozOfME/bs2aNuu+02u+9ncHCwuuuuu9TevXvNZSrb55WUlKj//e9/qkuXLiooKMjuaxwVFaXuuecetWfPHqf2b9m+8q/drFmzVMuWLR3+DkyYMEEVFRVVWE9F/ZGjh6330/J7Wf43MzU1VT366KMqMjLS7j47d+6sfv31V6deK8DS+fPnVVhYmOaz1atXL6ObpYqLi9WGDRvUnDlz1IcffqjGjx+vpk+frpYuXep0P+ys/fv3qzlz5qj3339fjR8/Xk2bNk2tW7dOVz/hq06fPq1++OEHNX36dDV+/Hj14Ycfqq+++kpt2bJFlZSUuL2+o0ePqkWLFqlp06ap8ePHqwkTJqjPP/9crVixQv3777+69mEZL4tUr0O1goICtW7dOjVnzhz10UcfmT+Ly5cvr1RM7ymFhYVq/fr16ssvv1Tjx49X48aNU9OmTVO5ubkOy5lMJnXgwAG1bNky9fnnn6sJEyao9957T02ZMkV9//336vDhw156BvplZGSo5cuXq48//li9++67avLkyWrBggUuHY8o5f7Pem5urtqxY4f6+uuv1SeffKLeffddNWnSJDVjxgy1cuVKlZmZ6fK+16xZYzd2saeycSQALVt9RmW+V7fffrtmXx07dnR6H+3bt9fs44477nC4veXY4RtvvGH+3y+//KK6d+9u9xioXr16atq0aXb3vXjxYtWxY0e75Rs3bqy+/fZbp5+jM0aNGqWp88MPP9RVrnfv3lbt/fHHH3WVrVOnjqbc/v37bW5n+dpXNO5g2e+XH7/MyspSL774ooqLi7P7el9++eXq+++/1/UcbCkpKVGTJk1SjRs3tltHo0aN1OTJk80xrSu/VZVRXFyspkyZojp06KBrbCAhIUHdfvvt6quvvnI4dubotT9+/LgaOnSoCg0NtVlHcHCwuuWWW9SuXbsq9dzy8vLUpEmTVLt27VRAQIDD5zRq1Ch1/PjxStV36tQp9fTTT6sGDRo4fA2bNGmi3n33XZWTk+NyXUaMjQH+oqCgwOo788EHHzi9H8vfe1diEL3S09NdbrOj83KeYNnOsnMJpaWl6ssvv1TNmjWz2z8mJiaqCRMmqPz8fN31uSO2HDRokKZ8RESE1TaFhYXqhx9+UA8++KBq0qRJhb+XMTExavjw4SolJcWptriC2I3YjdjNNcRu/qd6jb57gDsSpd544w2rD7czP+xLly5Vl1xyia4OruwRGxurkpOTddfhK4lS+fn56r777tP9PFu0aKErWak8k8mknn32WYedavlHXFyc+uWXX2y2uaK6//rrL7s/FHrew6VLlzr13Cz3ceTIEXXgwAF12WWXOayrLBh5/PHHNesHDBjgVP3ln3f5/QQFBakTJ064tC97XEmUeuGFF1x6L0REde/eXZ0+fbrCOox+DadOnari4+Od/qw5EyxW9nPmTh988IHu71hYWJiaM2eOUqpyfd5vv/1WYRKa5SMoKEi99NJLymQy6arDVqJUXl6euuOOO3TX2aZNmwr7KFe/D/beT3uJUr/++qtKSEjQve93331X9/sBWPrkk0+sPlOePnnkyO7du9W9996rYmJi7H7mAwMDVefOndXXX3+tu58o463E88svv1xT9qOPPnLylfj//vOf/2j2dfPNN+sq5+2D49OnT6sxY8aopk2bVthvXXrppWrs2LE2B4Lc3dfqHXCZMGGCZrt27dq5/Frs3LnT6net/MUEjqxevVr169fPYaJsUFCQ6tWrl/rpp59cbqMzHA32nDp1Sj322GNWye9lD1u/rd68MMLZ4xHLY9HyMfOhQ4fUfffdZ3dQJiAgQN1www1qx44dFbbL1c+4vRjekxc3lEeiFGA8dydKtWjRQrOvJ5980ul9PPHEE1a/847YSpQymUxqzJgxuvvDIUOGaPqwoqIiNWTIEN3lR48e7fTz1GvevHmauvTEbrm5uVYXL+ht5+7du+3+Tlty18m2P//80+o31tHj0Ucfdfo359ixY+rKK6/UXUevXr1UWlqaV0+2HT16VLVp08bl3/X09HS7+7b32q9YscLhsVL5R3BwsBo/frxLz23RokWqbt26Tj2f8PBw9X//939O12UymdRbb72lIiIinKqvdu3aav369U7XZ8TYGOBPTp06ZfVdcZTEbM8tt9yi2UeNGjWcHuPRa9u2bVZtnjt3rq6yvpAolZaWpvr06aO7f+zSpYvuiwzdEVvefffdmvKRkZFW2zh7zrbsERgYqN5++22PfTaUInaz9SB2I3ZzhNjNf5EoVUmVTZQqLCy0yia+/vrrdZf/4osv7M5WEhAQoOLj4+3OiCQi6q233tJVjy8kSq1atUrdfPPNNjuB+Ph4uyfEWrZsqTvxzGQyWWVTW9Zlq4MPDw9XmzdvdvrExObNm+3WFRISomrWrGn3JEzZe+zMyV3L8hs2bLA5u09ERISKjo42L5cFI3v27NFsFxQUpHuWhPIeeeQRzX4quvrSFa4kSlm2q/wjMjJS1axZ02YwWPZo2LBhhSe0jHoNS0pK1JNPPmm37UFBQSo+Pt7u8wsICNAdQFT2c+Yu7777rsPvl60rCQIDA9XChQtd7vNmz55tN4AJCAhQMTExDr/T99xzj66A3LJ9M2bMULfddpvuPqvs0ahRI3X06FG79dgrp+ehN1Hq119/tfm5i4uLU+Hh4U7tH9Djuuuu03yWEhISVGFhodfbUVxcrJ588kmHcZqtR/v27dWhQ4d01+OtxPP//ve/mjJt27Z16XUpLCy0SiTRk6zrzYPj0tJS9frrrzvso+w94uLirPbn7r5W74DL6dOnVXBwsGZbPQkvtljGGP369auwzMmTJ9X111/v9HO+5ZZbPD7DlL3BnmXLllU42GP5XfH2hRHuSpT6+uuvdQ8ABQcHq1mzZjmsx9XPuK0Y3hsXN5QhUQownjsTpQoKCqzG0PReQV/eBx98oNlHUFCQw3jSVqLUc889Z/W8wsPDVWxsrN0+7JVXXlFKXRy7snWRTGRkpMPfqc8//9yl160iaWlpmpg2MjKywvj6p59+stnGK664osL6PvroI02Zhx56yO627jjZ9vfff9u84CwmJkbVqFHD7utdfuawihw/ftxh8n1sbKzNeKJLly5Wr6WnTralpaU5vHo+MjJSJSYmOnxNnD3ZtnHjRrvjBZZxrKuvvVJKjR8/3u64cmBgoIqLi3OY1D9mzBjddeXm5qqBAwfa3VdwcLCqWbOm3fgxLCxMLViwQHd9RoyNAf7m/PnzVt+TTz/91On92Er8cfYif71eeuklq7rKzzriiK1xpNOnT6uff/5ZzZkzR82cOVMtWbJEbdq0qVKzpZSxbOeuXbusZu8UuXguwdHMQL1799aVXOSO2LJnz56a8g0bNrTaxt55lqCgIBUbG6vi4uIcjgk+9thjTrXJGcRuxG5l7zuxW8WI3fwbiVKVVJlEqYKCApsnqVasWKGr/OrVq61+SAMCAtTQoUPVb7/9poqLi5VSFxMkduzYoZ566imbHVFZpqEjvpAoVf42Y82bN1dffvmlZgad/Px8tXz5ctWpUyer5/j666/rauf//d//WZVNSEhQEydO1CQTZGdnq/nz56vOnTubt2vSpIlVlrjeRKmIiAjVr18/9emnn6qNGzdanfzJzc1VmzZtUs8995xVkkVUVJQ6ePCgrudn+dxat25t/rtdu3Zqzpw5mkSfrKwsNX/+fLV582bzOssTWnpf2zK2bj+3cuVKp/ahR2USpRo0aKAeeeQR9d1336k9e/aYv0tlTp48qebPn291FYiIvux7I15DW1eqNm/eXH300Udqz549moOI48ePq88//9zqOxgYGKjrtmfu+JxV1tKlS63aERERoV599VX1zz//mJ9vfn6++vHHH1Xfvn01QZvl7Fd6+rylS5daBWfx8fFq7NixavPmzZqDjYyMDLVgwQKr2yeKiHrzzTcrrMuyTy7fF0VHR6t3331Xk0iRlZWlvvvuO3XVVVdZ1dexY0e7t6GaMmWKmjJlis3grOx/9h62Dr4tv5ctW7Y0J0QEBQWpBx98UK1bt07zWh06dEi99tprVgkJcXFx6sKFCxW+VkB5xcXFVp+lW2+91evtyMnJUTfddJPV96rsERoa6vAkWVJSktq2bZuuuryVeJ6ammoVZ+ptY3mWV7UlJiZWOFjjzYPjzMxMm6+fZWwWGxtrs02xsbFW+3S0r4oelUmUUkqpW2+9VbPtE088ofu1KFNQUGA1K+DChQsdltmxY4eqV6+e3ecVGRnp8PN4xRVXqNTUVKfbqpetwZ5Vq1bZnLkoJiZG069Yxv/evjDCHYlSX331ldVrHxgYqOLj4x0mhK9evdpuPa5+xm3F8N64uKEMiVKA8dyZKGV5NbuIqPnz5zu9H8t4RUQc3k7dcuzw6quvNv9dt25d9emnn2rGt9LT09W0adNUrVq1NOWCg4PVvn371Ntvv21e17JlS5WcnKzOnj1rLn/mzBk1ceJEq9+X2NhYdf78eaefrx6Wt/Ko6D169tln7fbTp06dcljWcizG0e9kZU+2JSUlqebNm5uXBwwYoFasWKG51e7JkyfVpEmTrE5ahISEqH379jmsT6mL47blPxNlj27duqmFCxdqTkIfPnxYTZgwQVNXly5dnP6tcsWjjz5q9ds/dOhQtXLlSquTaEVFRSolJUV98803avjw4ebPsjMn25KSkjS3senTp49atmyZ+ZiktLRU7d69Wz3//PM2Y7TFixfrel6ffvqpVdm6deuqd955R/3xxx+a8ZKzZ8+q2bNnqyuuuMKqjN47N1jOQiIi6qqrrlLTpk2zuiDmwIED6v3337fqCyIjI3XdmsmIsTHAH5WWllodHzl7Ul8ppdq2bWv1nfTErMl5eXlWF5K1aNFCd3nLY0pHsyIHBwerTp06qUmTJqmsrCyX2mvr9698/zh37lxNnJOdna2+++47m3d0mDFjRoX1VTa2LCwstBpj6tmzp9V2YWFhKjAwUHXp0kW98847auXKlVYX7RQXF6vdu3er//73vzZv3ebJGfCJ3YjdyiN2s4/Yzb+RKFVJziRKlZSUqPT0dLV9+3Y1ceJEm/fWffrpp3XVm5mZaXVyITw8vMLAasuWLVadf3R0dIW3HvGFRKmyx7BhwxyeMCssLNR0DmUddFFRUYVttMycbdu2rcOTMKWlper555+3GyBUdGJi7969atKkSU5dFf/vv/9aZdQ/+OCDusraa+czzzyje1rJxYsXa8rWqVPHKpHIkcmTJ2vKt2jRwiPTiLqSKJWcnKx+/PFHp9qzcOFCq5PuFU2l6O3XcMmSJVbv+ZgxYyo88ZydnW01S1HdunUrnKHNHZ+zysjIyLA6GGzQoIHd+16XsZUoqbfPO3r0qNVVCjfccIOuk7jvvPOOplxgYKD6448/HJax7JPLHk2bNnU4Q1RxcbF66KGHrMpNmDDBYX22DiBdYfm9LHskJiaqDRs2OCy7evVqqySMTz75xKV2oPratWuX1edP7+ya7jR8+HCrdtSsWdNmYra9pMo6deroOtHvzcTz22+/XbP9448/7vRrY5mE9Mwzzzjc3psHx6WlpVYxpsjFg93Ro0ertWvXqry8PPP2JSUlKiUlRc2cOVPdfvvtKiwszGailLuTUp1J7Fi0aJFm2/j4eFVQUFDha1Hed999p9lHrVq1HMbdx44dsxpoDQ4OVvfff79asWKFJi4uLCxU69atU/fff7/VBSLXXXedx+IKy9ewZs2amgsi7rjjDvXTTz9p3u/Tp0+rTz/91Op76e0LIyqbKNWhQwdzklF4eLgaPXq0+v333zXfpd27d9ucEa9p06YVJl87+1m3lXzlrYsblCJRCvAF7kyUWr9+vdW+Nm7c6PR+NmzYYLUfR8czlmOHZY9rr71WZWZm2i23d+9eqxmi+vbta05afeCBBxz+5q5du9ZqBq2PP/7Y6eerx4svvqip5+WXX3a4fflbgFj+ds2ePdtuuaKiIs3YXUBAgMOYuLIn28rHexUlgv/9999W75ee29FYzswqIuqll15yOM5z6tQpzUVpzv5WOauwsNDqQg5nTt4WFhaqr7/+WhM7WbL32ouIeueddxzuf8eOHVZjMrVr13Z4ck+pi7emskwCHzx4cIUn+4uLi60StyMjIys8UWw57hQYGKgmTZpU4TjkmTNnrE6qtm/f3mEZI8bGAH/WsGFDzfehf//+TpXPy8uzOYmB3tvhOeOVV16xqseZGTSduV1Z+UdsbKyaMmWK0+21t7+XX37ZYf+YkZFhdVHwVVddVWF9lY0tp0+fblXe1njZiy++6NSM8Pn5+VbjhS1atPDYuAexG7FbReWJ3YjdqgMSpSrJ3mCHs4+aNWuqyZMn607QmDRpktU+9NyWRKmLA0OWg9oVnYTylUSpm2++WddrdPLkSauriCuaCefxxx/XbJ+YmKjOnDmj6/ndf//9Nt9XT02deubMGc2V+2FhYbpmVrHVxrvuusupuktLS62y2/V+9pRSVsHApEmTnKpfL1cSpVxlGRwPGjTI4fbefA1LS0s1GfQiop5//nnddeXn51sl5lV0wOOOz1llWAaqYWFhDq/uLc/WtMR6+rwRI0Zotu/Zs6dTJ5ot+5977rnH4fa2EqUiIiLUgQMHKqyrtLTU5q3HHCXAeTJRKjg4WP3222+6yj/11FNWrzPgjIULF1p9BhctWuTVNsyfP9+qDZ06dXI4SGAymWwOdN1+++0V1ufNxHPLxNy4uDjdtz9W6mIyuOXJvF27dtnd3tsHx5YJJSIXE89Onjyp6/mdOXNGjR8/3u7/3dXXOpPYUVxcbDUjqrNXLFrOjvbss886rK/8LIgiF5Nrtm/fXmE9P/74o9VFDZ5KmLU32BMSEqK++eYbp/bl7QsjKpsoVfZo0qSJ+ueffxyWnT17tlW5JUuWVNjGyn7WvXVxg1IkSgG+wJ2JUrZuGbJz506n97Njxw6r/TiaHd7W2GHz5s1VdnZ2hXVZXlhT/lhIz4kzy2PVHj16OPVc9frll1+s4lt7UlNTNTNzTJgwQdWpU8e8PGTIELtl161bp6mnohMO7jrZpvf333K8tkGDBg63z8/Pt0ogHzp0qK66Tp8+bTWrp97fKmf9888/ut9fV9l77UeNGqWr/Nq1a61mfPnvf//rsMy1116r2f6ee+7RHV+YTCar2VlfeOEFu9tnZmZanbD87LPPdNWl1MVbf1nePsfRBdNGjI0B/mzw4MGa70NUVJRTMyjZGgsSEfXFF1+4tZ2bNm2ySshq2rSpU2MzriZKlT0GDRpU4aQF5dnaxyOPPKKrrK2YrKLkpMrElseOHVOJiYlW5Su66Fkvk8mkevXqpdn3jz/+6JZ9WyJ2u4jYzXXEbo4Ru1UNJEpVUmUTpcLCwtTTTz/t1MC5yWSySrJwNoP94Ycf1pSPjo52GNj5QqJUcHCww5lSLFneM9TRjCnZ2dlWmcPTpk3TXdeZM2dUdHS01fvrqUQppZTVTFbLli2rsIxl+0JCQio8KWiLZYd97bXX6iq3du1aTbmIiAiP3TrLm4lSpaWlmpOMiYmJFZbx1mtoOctD8+bNK5xJytKvv/6q2Ue7du0cbu+uz5krTCaT1Wx9r7zyiu7y+fn5Nqe5ddTnnThxQjNVaNntEJyRnp6u6YOCgoIc3hLBVqKUM1M+79271yphdtasWXa392SilN7AWamLV3mUL1ujRg2vzFIG//HZZ59ZfQb1nCh3J8up1hs0aKD7t9DWjHB//vmnwzLeTDwvLi5WtWvX1mz/9ddf63puSik1btw4TdmKDuK9eXB85swZFRERodm+a9euTg02VsSIRCmllHruuec0299444266zpx4oTV78nu3bvtbj9r1izNtrVq1XIqXra81VGDBg2cGoDVy95gz6effur2uuxx9cIIdyRKRUdHV3jFWpn+/ftryjoaIC3jrs+6s5y9uEEpEqUAX+DORKnvv//eal8VJYXasmfPHqv9OLqFn62xw4qucC9z+PBhm79JehO8LI/nPXUMVVBQoImVAgMDVVpams1t58yZo2nTH3/8oYYMGWJerlOnjt16Xn31VU3ZsWPHOmyXO0623XDDDRU+/zIXLlywOkHtaKZpy9goNjZW9+1hlbo4Y6Nlez1xsm3jxo2aOu677z6312HrtY+Pj3dq3NAykaFp06Z2jw+2bt1qVZezt6bcv3+/JhZOSEiw+/16//33NfX16tXLqbqUUup///ufZh/2LpwxYmwM8HdfffWV1Xfi/fff11W2tLTUamaRsscHH3zgtjampqZanZQPCAiocAIBS40aNVJBQUGqZ8+eaty4cWrFihXq2LFjKjs7WxUVFanU1FS1ceNGNW7cONWkSRObz2vEiBG667PV9+tJJi9jeQu5ii7+cjW2XLlypdVdfkQuzjjtTsuXL9fsf8yYMW7dfxlit4uI3VxH7FYxYjffFygwVGFhoXzyySdy2WWXyQcffCAlJSUVltmzZ48cPXpUs+7pp592qt7Ro0drlrOzs2XDhg1O7cPbbrnlFmnUqJHu7bt166ZZ3rt3r91t165dK1lZWebl2NhYeeCBB3TXlZSUJPfcc4/u7d2hS5cumuUtW7Y4vY/+/ftLnTp1nC43cuRIiYiIMC+vWbNG/vnnnwrLff7555rle++9V+Lj452u39cEBgbK1VdfbV4+f/68HDp0yGEZb72Gc+fO1Sw/+uijEhoaWmE95fXp00dq165tXt61a5dcuHBBd3lXP2euSElJ0bz2gYGB8thjj+kuHx4eLg899JBTdX7//fdSXFxsXu7bt69ceumlTu0jLi5O+vbta14uLS2V3377TXf5oKAgeeSRR3Rv37JlS7nuuus063744Qfd5d3JmffniiuukJiYGPNybm6unDhxwhPNgp/Kzs62WhcbG+u1+tesWSO7du3SrPv44491/xZ+8MEHkpSUZFXeGcHBwTJlyhQJCAiocNu6devKrbfeqlm3bds2h/seOnSoZt3MmTN1ty05OVmz/OCDD9rd9vfff5c1a9aYl+Pj4+Wzzz7T9bxERAICAuTDDz+UwMD/fzg0bdo0MZlMNrf/6KOPJD8/37wcGRkpX3/9tYSHh+uqz5eNHDlSs/zLL7/o7ltnzZqlec06d+4srVu3trmtUkref/99zbr3339fGjdurLutd999t/Ts2dO8fOLECVm+fLnu8pXRpk0befzxx71Sl8jF44vy701hYaFs2rTJK3W/+OKL0qJFC13bPvzww5plR32E0UaMGCGXXHKJeXn16tUGtgaAEcr/lpcJCwtzej+2ytjatz21atWS22+/Xde2TZo0kZo1a2rWdezYUa688kpd5Tt16qRZ9tQxVFhYmOY32mQy2e1nV61aZf47MTFRrrzySrnhhhvM606fPi27d++usKyIaMp5ijPHrPHx8XL55Zdr1jkaj7Q8Dr/33nslMTFRd33Dhg3THCN7SlxcnGZ5586dduNmd7rvvvucGje0jNUOHz4sKSkpNre1HC8bPHiw1XetIi1atJCOHTualy9cuGB1vGevvv/85z9O1SVyMRYODg42L69fv16UUlbbGTE2Bvi7QYMGSb169TTr3nzzTdm5c2eFZcePH2/33I0z8YMjBQUFcuedd1r9xo8dO1b69Onj1L6ef/55OXr0qKxfv15efvlluemmm6Rhw4YSFRUlISEhcskll0i3bt3k5ZdflgMHDsjEiRMlJCREs4+ZM2dajfHoNWTIEImKitK9vTPnAe354YcfZOrUqVaPSZMmyTPPPCNt27aVG2+8UU6ePKkpV7duXfm///s/p+tzxB3n/fQgdruI2M29iN20iN18H4lSbtaiRQuZMmWK3ceHH34or7/+ugwcOFDTeaampsrzzz8vPXr0kLS0NId1bNy4UbMcHx/vdLBz2WWXSZs2bRzu19f07t3bqe2bNm2qWc7IyLC77ebNmzXLffv2dfrE15133unU9o6cOnVKVq9eLQsXLpRZs2bJF198YRWkWSa2uTLQde2117rUvoSEBBk8eLBm3dSpUx2WOXPmjCxatEizzpsnm1xVUlIie/bskR9//FG+++47mT59us2g+dy5c5pyFb0f3ngNTSaTVbJN+WQcZ1x11VXmv5VSsnXrVt1lXf2cucLyu9ypUyerg9iKOPtdXrdunWbZ1de4Q4cOmmXL5+LI1Vdf7XQymuXAvKcOuhyJi4uTdu3aOVWmSZMmmmVHfTtgqbCw0GpdjRo1vFb/jz/+qFlu2LCh3HHHHbrLx8bGyogRIxzusyKeTDwXsU5u+vXXX+X48eMV1vPbb7/JgQMHzMsRERFy33332d3e2wfH8+fP1ywPGTLEqQQfX3b55ZdrBuJMJpPMmjVLV1lnktv+/PNP2bNnj3k5ISHBqQsTylh+LtauXev0PlwxatQo3Yl47uKtAdLyAgMDrZKfHLHsI/bv3++VwTdXuHJxAwD/Ymucp6ioyOn92IopnRlD6t69uyZZuyINGzbULJc/qVWR6OhoqxMlnjqGuv766zXLlifGyvzyyy+aMgEBAbrKZmZmyvbt283L4eHh0qNHj8o0WZdrrrnGqe2dGY+0/G135thA5GLM7OoYhDNatmypOem1d+9eeeSRR2xeiOJOehMKy3Tr1k1q1aqlWWcvfvLmWM6FCxfk77//Ni8HBATITTfd5HRd0dHRmmT29PR0m8dnRoyNAf4uNDRU3nzzTc26/Px8ue6662ThwoU2y+Tl5cnYsWPl1VdftbtfZxKC7DGZTDJ48GCrC2v69u0r48aNc3p/TzzxhNSvX1/XtkFBQTJmzBj57rvvrGKb119/XQoKCpyu35PnAe356KOP5LHHHrN6jBkzRj755BNNH16mYcOG8uOPP0qDBg1015OZmSmbNm2SJUuWyJw5c2ye95s3b56mjCcvEiZ2u4jYzX2I3bSI3XxfcMWbwBl169aVRx99VNe2RUVFkpycLM8//7x5NqOtW7fKjTfeKJs2bbJ7VZvlj3KHDh1cGrTv2LGjZl/2Tgz5CmdPRkVHR2uWy88YZemvv/7SLFt2lHq4Uqa8lStXyty5c2X58uUVJsvZkp6e7nQZy2Q5Zzz11FMyffp08/KsWbNk/PjxEhkZaXP7adOmaWbd6dSpk+bkpC/JysqSOXPmyHfffSdbtmxxaeBUz/vh6ddw//79Vu1YvXq1UzMVlTl//rxm+fTp07rLVuZz5ix3fJdbtmwpNWrUkNzcXF3bWwZue/furTDpzRbLPtiZ17h9+/ZO12dZ5uTJk5KWluZ0okFlNGzY0KkTBCLO9e2AJVuxld7vujtYJqUPGDDA6e/AoEGDNLPynD17Vg4ePCjNmzfXVd7TA04tW7aUbt26mQfoTCaTJCcny+uvv+6w3IwZMzTLAwcOdDjblzsPjn///Xfz8ubNm61maPj333/l4MGDmnWuJPj4sgcffFDze5acnCyvvPKKw2OMdevWaV6XyMhIuffeex1uX16fPn2srjrVozKJxZXh7sTvU6dOyd69eyUjI0Oys7OloKDA6qqy/fv3a5a9MYviFVdc4dTVkAkJCRIbGyuZmZkicvE7n52d7dXZ+kQuXtywf/9+OXr0qGRnZ0t2drbN2ZptXdzQrFkzbzUTgMFsnYx0ZSYHWyf9nDnR6ez4lmVivzNJ7yIX21Y+hvPUMZTlDAG2Tpj9888/mtkYysrUqVNHWrdubb6CfNWqVVaz4a9evVpKS0vNyz169PD47J4xMTGSkJDgVBm9x6znz5+3mpnC1fFIy5Oq7lY2i/WECRPM66ZPny7ff/+9DBw4UPr16yc9e/a0OtFVWeUv2nOmzMqVK83LluNEIheTFyzH17dt2+ZSrHXkyBHNsq2xnN9//10T50VFRcmcOXOcrkvEOlHz9OnTVjNhGDE2BlQHDz30kKxZs0a+/vpr87r09HQZOHCgtG7dWvr27Sv169eXoqIi2bdvnyxdulRz/NGrVy/Ztm2bJvawTGZ2xaOPPmqVrNWtWzdZsGCBBAUFVXr/egwYMED+85//aGY9P3HihCxdulTuvvtup/blyfOA7hARESHDhg2TCRMm6DruTUlJkeTkZFm4cKEcPnzY6fpcOe+nF7HbRcRu7kPsZo3YzbeRKGWg0NBQefjhh6VNmzbSu3dvczLGH3/8Ie+88468++67NstZJtFYzq6hl+WAsCvJOd7kbNBoGQSW/0G2ZPncXZkhICkpSSIiIpweZDt48KA8/PDDmtvHuMKVTODKJES0bdtWevbsaU66yczMlLlz58qoUaOsti0tLZUvv/xSs86ZaQO96euvv5Znn31Wzpw5U6n96Hk/PP0apqamWq1zZXpIW5zpL7yZeOOO73JgYKA0bNhQ160QTSaT1Qm3Tz/91Ok6bXHmNXZ2oNxeGW8nSrkyGOBM3w5YsnUCq+zkvjdYHtBZ3gpFjzZt2khYWJjmIGvXrl26E6W8MeA0cuRIzZWMycnJ8tprr9lNusnJyZHvv/9es87RzETePjjesWOHZjk0NNSl986X3XvvvTJ69GjzwfShQ4dk3bp1DhPrLJPb7rrrLofTh1smFmdlZbmUWHz27FnNsjOJxa4KDg62GsRwhREXRjjLldgpOjpa05dmZWV5JVHKWxc3APAf7kqUysvL07Vve5y93YblMVBly3vqGKpdu3aSlJRk/q0+cuSIHDp0SDP+6Oj2KzfccIP5ZNu6deukqKhIQkNDdZX1FE8es1rGApGRkS6drPLWLKevv/66rF+/XhPnZ2ZmyowZM8xx4aWXXirdu3eXnj17Sp8+fVwaqyjj6uthWaetmOvs2bNWM2C+9dZbTtdli636LMfnsrOz3TYuaqs+b4+NAdXJjBkzJCAgwGqW65SUFLu3ixIRad26tcyZM8dqlsjKJkqNHTtWpk2bpll31VVXyfLly+1ejO0pr7zyinz66aeaC1Z+/vlnpxOlPHke0FkRERESFxcnSUlJ0r59e+natavcddddum4tlpOTI88995xMnz69UrMue3IGIGK3i4jdiN0sEbtVHyRK+YCuXbvKyJEjZcqUKeZ1kydPlhdeeMHq5JSI9WCuq4PQluUuXLjg0n68xZO3urB8TV29R2xsbKxTg2y7d++W66+/vtJJOSLiUrBV2aldn3rqKc3sRFOmTLGZ5LNs2TLNycuEhASHMw4YZeLEiTJ27Fi37Evv++HJ19CTyY+2BobtcccUwnq587ustz5P3V7GmdfYledp6zl6+2Sht29hBNi6RaW34p+ioiLJycnRrHMl2T0kJEQaNGigmcnHmf7eGwNOgwYNkqefftr8fI8cOSJr1661OyPPvHnzNFe7NGnSxGGCjrcPji0TYhs0aGB35teqKjo6Wu666y7NLfdmzpxp933Izs6WBQsWaNY5Sm4TsR5kWLlypeaKMVd542KP2NjYSl2Ja+SFEc6qKknM3ry4AYD/sHVSy5WEW1tl9JwwK1PZ4yBfPY4KCAiQPn36yLfffmtet2rVKrsn2y677DLN7WpuuOEG80wUeXl5smnTJk0sYsTJtqoyFukNERER8uuvv8pLL70kn3/+uc0E5f3798v+/ftl5syZIiJy9dVXy6hRo2TYsGFOzyTqrtfD1jiHt8fLvF1fVftsAVVJWFiYzJkzR3r27Clvv/22nDp1yuH2AQEB8thjj8nEiROtZqIREd23uLNl3LhxMnHiRM26Vq1aycqVK90yU5WzEhMTpVu3brJ+/XrzuvIzeOtlRJyzZs0ap2dgdyQrK0v69u3rlhmwLWeedidiN+dUtd9XYjd9iN2qN+fu9QGPGTRokGY5KytLVq9ebXNbyx9Gd3X8vjrQYgRXXwtngpbi4mK59957rQb327VrJ2+99Zb8+OOPkpKSImlpaZKXlyelpaWilDI/KnuixR0GDBigCeZ37txp8/6xn3/+uWZ5+PDhEhER4fH2OWPTpk3ywgsvaNaFhITIwIED5bPPPpMNGzbIkSNHJDMz03xrlPKPYcOGuVSvJ19DV66q18uTAbo7efq77CuvsSvPs6q8h4A72bq9krduPWzrIM+IZHdvxHtRUVFWVwxazj7k6H8PPvigw3YafXBsxICjN1gmOs2fP99uEsl3332nSW5r3ry59OrVy+H+PfW+OZNY7KrKJH3v3r1bevTo4ZbY3VPJ2eVVhWPCiRMnyuDBgw272ARA1dW8eXOr2x4fP37c6f1YlgkKCtI9u6e/c3QLl5KSEs2teC23veaaa+zOQnDs2DHNhQKJiYlWt0uu6rwxFllZ4eHh8tFHH8mhQ4dk3Lhx0qlTJ4fJ5L///ruMGjVKWrdubTVLa0U8+Xp4eyzH6LGjqvDZAqqaRx55RA4dOiRz586VYcOGSatWrSQxMVFCQkKkbt260rlzZ3n99ddl37598tlnn0lkZKTVjFNhYWHStm1bl+r/5JNP5NVXX9Wsa9asmfzyyy9O3Urd3Vq1aqVZdscxW1X0/PPPWyVJ1alTR0aPHi3z5s2TP/74Q1JTUyUnJ0dKSkqszjV5E7Gb66rC7yuxm2v1E7tVH8wo5SPatGljtW7Hjh1y++23W623vL9qRkaGS3Va3mrGmavfnOXrA9CWz93V2/A4c//juXPnaoLj4OBgmTlzpjzwwAO6ylvOSmGE4OBgefTRRzVB+eeffy5dunQxLx88eFATIJVdReFrXn75Zc2PSOvWrWXJkiU2T6rb4ur74cnX0PIWapdcconN2/H5E29/l23dpu6ff/6Ryy67zKV6XeXK87T1HD35OwD4glatWlndtm7btm1eqdvWgYo/J7uPHDnSfDWSiMiCBQvks88+s7oiZv/+/bJx40bzcmBgYIXJx1X1YNXX9erVS1q0aCEHDhwQkYsJSN9++63NmS4tk9tGjBhR4eviyffNVzm6MOLOO++UTp06SaNGjaR27doSEREhYWFhmhP4jmZiq67sXdxw2223SZ8+faRdu3ZSr149SUhIkLCwMKvZ34YPH66ZOQ1A9RIeHi5NmjSRQ4cOmdcdPnzY6f1Y3rq3adOmfjfbpKssT6CtXr1aSktLJSgoSLZs2aJJwrbctkaNGtK1a1fzCblVq1bJuHHjzH+Xd91111X5mMyIsUh3qV+/vrz88svy8ssvS3Z2tmzZskU2b94sGzdulA0bNlglsh84cED69OkjGzZssDkGbou7Xg9b4xyWYzkBAQGSk5PjsdtUWdbXuXNnmxdJuktV/mwBVUl4eLjcf//9cv/99+va3jJxpl27dpokE72mT58uo0eP1qxr2LCh/PrrrzZnUvcmy3OX1fFW54cPH7a6HeJTTz0lkyZN0jVDj7fP+xG76VeVf1+J3ZxD7FZ9MKOUj7A1jZrlbT7KWH5Bjx496lKdloNBtk74l6ns7RRcTebyFne8pmfPnnXqtnsLFy7ULL/44ou6k6RE7H8+vO3hhx/WDAjOmzdPM2PA1KlTNScdb7jhBp+70vLcuXOa298FBgbKwoULdSdJle3DVZ56DS3vB3zmzBm/v72IO77LJpNJc5tDR0JDQ6367/JXSnjLsWPH3FLG0e8A4A9CQkKkW7dumnUbN270SgKH5WCRSNVIdndV9+7dpWXLlubl/Px8zVTeZconU4lc/I0rP423LbYOjnNzc62uwHPlkZycbFWf5dWY/jzQN2LECM2y5fsjIrJv3z7NAG9QUJCumTUt37cpU6a45T3z5aulbF0Y8dVXX8mff/4pr7/+utx8883SqlUrSUhIkIiICKtZTnzhwghfY+vihn/++Ufmz58vjz/+uHTv3l0aN24sMTExNpMWeE0BWM504MqAt2WZyy+/vFJt8icNGjSQSy+91LyckZEh27dvFxHtCbPg4GCbt7gpfwJux44d5plTjbh1i6dZxkZ5eXkujS25Oi7sLtHR0XLDDTfI66+/Lj///LNcuHBBli5dKjfddJNmu6ysLHnyySd17zcvL0/Onz/vdHssxzpsjXNYjpcppVxKmtTLsj5Pjxt5e2wMgD7lb0kncnHcxFnffPONPPLII5pjotq1a8uvv/4qjRo1qnQbK8tynKs63gZq8eLFmvenZ8+e8sknn+i+jZm3z/sRu+lH7OYYsZvriN2MQ6KUj7CV5Wfvh9Mye3PHjh0unSAo+7Er065dO7vbRkdHa5adTbYwuuOviOVzd3ZKQVfK/Pnnn5rloUOHOlXelfs7e0KtWrU0t44sLCw0zzJQUFBgdYLNF2eT+vvvvzWznnXp0kUTHFaktLRUdu7c6XL9nnoNL7/8cgkPD9esKz9Vqj9yx3d53759Tp1Eu+qqqzTLa9eudbrOyvrjjz8qXaZevXokSqFauO222zTLFy5ckEWLFnm83tDQUKvbd7kSHxUXF1sd9Pjqd9cy6cZyFqLS0lKZPXu2Zt3IkSMr3K/RB8cnTpzQzErmT4YNG6a5QGLz5s2yd+9ezTaW7+NNN90k9erVq3Df3h5k8AX+cmGErzD64gYA/uG6667TLO/cuVNzO9mK5ObmWo3nWO6zurN3C5fyJ8y6dOliNdZoWdZkMsnq1atFKSWrV6/WbHf99de7s8mGSExMtIqhvDEe6WlhYWFy6623yooVK2TChAma/61fv96p2126MtZhOT5na7w7Pj7eKqHAk2M5luNGaWlpsnv3bo/VZ8TYGADH9u/fb5VoPXz4cKf2sXjxYhk6dKjmPEZiYqL88ssvPnNhetkM1WWSkpIMaolxLOPEIUOGODWTkhHn/Yjd9CF2qxixm2uI3YxDopSP2LVrl9W62rVr29zWMtP8woULTncI+/bts6rTcoaF8uLi4jTLzp6MMiJxwBldu3bVLK9YsUIKCgqc2ofliZCKnD17VrPsTMZ/aWmp/Pjjj07V50lPPfWUZrlsBqRvv/3WnEEucjE7vX///t5uXoUq816IiKxZs6bSMzV54jUMDw+XHj16aNZ99913lWqnr7P8Lm/btk1Onjzp1D6c/S5bHkgsWLBASkpKnNpHZf3+++9O31ZxyZIlmuXyt3u0FBxsfadeZ2cWBHzF4MGDraY2//zzz71St2Wyu2XSuh67d++2StJxlOxupGHDhmn6j61bt8qePXvMyytWrJBTp06Zl2vWrGnzttOWvH1w3LFjR81yUVGR127Z6G1169aVvn37ataVT4wqLS2Vr776SvP/Bx98UNe+fSGx2Nv85cIIX2H0xQ0A/MMdd9yhWS4pKXHqGHD+/PlWx3uW+6zubJ1sy8rK0sRP9mYV6Nixo2a21FWrVskff/yhuTq9RYsWPjFrhjtYHocvXrzYqfL5+fmyYsUKN7bIvcaOHWt1G6i//vpLd3nLcYuKbNq0ySop2t5Yh+Vn0JPjZY0bN7ZKYvBkfUaMjQFwzHLcqXPnztK2bVvd5X/++We55557NDFIXFycrFy5Ulq3bu22dlZGdna25sIWEd8dr/Kkyp5rWrp0qTubowuxm37Ebo4Ru7mG2M04JEr5CFu3IunUqZPNbVu1aiVNmjTRrPvkk0+cqu/jjz/WLMfExEjPnj3tbm85jfjGjRt115WdnW11QsXX9O7dW5MNnZmZKXPmzNFd/ty5c053kpYnaZ25/c7XX3/tVBavp3Xq1Ek6d+5sXj58+LD8/PPPMmXKFM12Dz/8sNVtHH1BZd4LEbHKsnaFp17D8jNViVycnrf8SWp/07p1a2natKl52WQyWb2GjhQUFMj06dOdqnPgwIGaW+UcPXpU/ve//zm1j8oqLS2VL774Qvf2+/btk19//VWzzlECnq2rRVy9TzJgtFq1alndJmz9+vVWMxtVRvkT+eVZJrsvWrTI6VlB582bp1lOSkpyajYVb6pdu7bcfPPNmnXlk24sZyaylcRmjzcPjuvWrSstWrTQrHMmTtTLV5JSLROfvvrqK/Ng7I8//iinT582/y8xMVF3Arfle7Zjxw6/n1XKny6M8AW+cHEDgKqvUaNG0r59e826qVOn6i5vedzVsWNHadiwoVva5i+uvfZaqxkqly5dqjm5e+ONN9osGxgYKH369DEvr1q1Sn755RfNNv5w65YylrPdfvvtt5KWlqa7/OzZs23epcBXBAQEWP1eOzOD2zfffOPUba8tExGaNm1qN4HAcrxsw4YN8vPPP+uuy1mW9X3yyScem+nSiLExAPbt3r1bPvvsM8260aNH6y6/fv16GTBggBQVFZnXRUdHy4oVK6wuSDLSBx98YDX5gOWYUHVQmXNNR44csRr38wZiN/2I3RwjdnMNsZtxSJTyARs2bLC6tVZcXJzN+72KXOyoLO8LumTJEt2Zqxs3bpQvv/xSs27kyJFWt4Mp7+qrr9YsL1++XHc24+jRo51OPPG2qKgoGTJkiGbdyy+/bDUYb88zzzzj9KB7/fr1Nct6M8WPHz8uzzzzjFN1eYPlZ/LZZ5/VXAUfEhIiDz30kLebpYvle/Hbb7/p/sx++umnVgknrvLEazh8+HBp3Lixebm0tFTuvvvuSn0nXbnVp7cEBATIo48+qln3wQcfyD///KOr/Ntvv+30rbAuu+wyuffeezXrxowZU6kZC1x5jd9//31dJ5xNJpM88cQTmkSOhIQEueeee+yWiYmJkcjISM26lJQUp9sI+Io33njDKgHw6aefdkvSRlZWltx33302/9evXz/N8tGjR5260iYrK8sqZrTcp6+xTLqZM2eOlJSUyPnz52XZsmUOt3XE6IPjr776So4dO+bWOnwlKbV///6a2+SlpqbKTz/9JCJi9fkbMmSI7uS2zp07W51Ifu211yrZWt/mTxdG+AJfuLgBgH948cUXNcubNm3SlQT91VdfyebNmx3uCxePH8uPIxYXF8tbb71lXo6NjbV7caiI9mTakSNHrC5E8odbt5QZNGiQJCQkmJczMzPl2Wef1VU2NTVVXnnlFU81TcPVWbOLi4utjrHs3UHBlvT0dHnhhRd0bbtu3Tr5+uuvNeseeeQRu7c7uuGGG6zurjBixIhKxV+OxnKeffZZTbyfnZ0tgwYN0iQ+uKs+I8bGANh2/vx5ue+++zT96E033eRwHLa87du3S//+/SU/P9+8LjIyUpYtW6a56NodKjPmv3btWqvjrYSEBKukkurA1fN+xcXFMnjwYCkuLvZEsxwidtOP2M0xYjfX6iN2Mw6JUgYqKiqSL774Qm655RarH7/XX39dQkJC7JZ96KGHrO6FOnjwYKtMXUvbt2+X2267TXOCPCYmpsIM9p49e2o6w8LCQhkxYoTVrV/KM5lM8sILL3h9ZhVXPffcc5pEgHPnzsmNN97oMFnKZDLJ2LFjrTpzPcpnWYuIvPLKK3Lo0CGHZfbs2SO9evXS3IrNVwwaNEguueQS87JlB37nnXc69YPqTe3bt9fcXjInJ0ceffTRCmdx+PTTT+Xpp592Wzs88RqGhITIBx98oFm3Z88e6dGjh9P31N21a5eMGjVK3njjDafKeduoUaOs+qu+fftWmADx6aefyvjx412q85133pHY2Fjzck5Ojlx33XWyYMECp/Zz+vRpeeutt1y6RWV+fr707dvX4Yn7kpISeeSRR6yS+8aMGSPh4eF2ywUEBFhdofTZZ5/5dNIc4Ei9evVk0qRJmnUZGRnSo0cPp6YTtrRlyxZp37693YSd3r17W02t/swzz+g+2T927Fg5c+aMZp07f4c84dZbb9X8tp05c0aWL18uc+bM0RxYdujQwakp2b19cPz0009r4sS8vDy57777nL5VsyO+kpQaEhJidQHBjBkz5Ny5c5VKbgsODpZXX31Vs+7bb7+VadOmud5YH+dvF0YYzVcubgBQ9d11113SoUMHzbqnnnpKNm3aZLfMxo0b5amnntKs69ixowwcONAjbazqLGcOOHDggPnvPn36OJwp21HZoKAgufbaa93USuOFh4fL2LFjNetmz54tr7zyisPYNDU1VW644QanZjCojM8//1xuvvlmWbFihd3Zc2156aWXNLfeiYqKcnii1ZZp06bJuHHjHG6zc+dOufPOOzWv2SWXXCKjRo1yWG7SpEma8ffTp09L9+7dZf369U618fDhw/Lcc885rK9mzZry5ptvatatXbtWrrvuOqePYTZt2iT33HOP1YXQ5RkxNgZUB/PmzdOdgLBr1y659tprNWPwUVFRuu8KkJKSIn379tXMPhMWFiaLFy+WXr16OddwHdavXy99+/aVdevWOVVu7ty50r9/f6vkgVdffVUzXl5dWJ73+/rrr+WHH35wWCYzM1P69etnlZDvTcRu+hC7VYzYzRqxmw9TqJRhw4YpETE/WrRooaZMmWL38dFHH6k33nhD3XXXXapmzZqasmWP6667ThUXF1dY9+rVq1VgYKCmbEBAgBoxYoTauHGjeR+lpaVq586d6umnn1bBwcFW9c2ZM0fXc3377betyrZv314tXbpU5eXlmbdLTU1Vs2fPVm3btjVv1717d025Ro0aVVhfo0aNNGXWrFmjq51l1qxZoyl/zTXXVFjmo48+snqOCQkJ6oMPPlDHjh0zb5eTk6MWLFigOnfubN6uSZMmKikpSVP2yJEjduv6+++/rd6/uLg4NXHiRE1dxcXFavPmzeqpp55SoaGh5m179+7t9POzfG6O2ueK1157zeZnWkTU2rVr3VpXRWbOnKmpf9iwYQ63f/75563a3LlzZ/XDDz+onJwc83YXLlxQ8+bN03ymw8PDNZ8FEVEzZ850qd2eeg1fffVVq/0FBQWpu+66Sy1YsECdPn1as31JSYk6dOiQWrRokRo7dqxq2bKludxzzz3nsC5Pf870WLx4sVU7IiMj1Wuvvab27dunTCaTUkqpgoICtWLFCtW3b1/N97D889Xb/6xYsUIFBQVZ1dulSxc1ffp0tX//flVaWmre3mQyqdTUVLVq1So1YcIE1b17d3Of0KFDB4d1XXPNNVaf1bK/o6Oj1bhx49Thw4fN22dnZ6t58+apq666yqp9V111la7fnIkTJ1qVbdOmjXr++efVxx9/bPV7t3fvXqt9WH4v9fRbFT13Z38bgPIefvhhq891dHS0eu+99zSxTUUOHTqkHnzwQfN3ODY21u62CxYssNlPnD9/3m4Zk8mkXn/9datyd9xxR4VtMyKesjRmzBjNPm677TZNnCgi6rPPPnN6v5s3b1YhISGa/dSvX1+tW7fOqf0cOnRIPfvss2rkyJEOt7MVC3fv3l2dOnVKVz1nzpxR48ePd7iNZcx8zz33mH+z9HLHe5aSkqLZR0hIiHrhhRc06zp16uT0fouLi1X79u2t4pE33nhDlZSU6N5Pbm6umj59umrTpo3Kzs52uh0VsXwN9Ry72PLEE09o9nPJJZeogwcPOiyTkpJi9b115r20LFtRHPbGG284FTO7o84jR45YPTc9iouLVVxcnNV3pKLPzuTJk62Ou/TG7K58n4hVAOft3bvX7jjau+++a/XdHT16tN3tt23bpqvOrVu3WsURERER6pVXXlFHjx5VJpNJmUwmdeTIEfXSSy+p8PBwq9/GrVu36qrLcuzwjTfecOr1sexXnB1vqGw86Ir169fb7HdFRH3++ecVlm/atKnNsl26dHGqHZavvbP9visxgLN1lpSUqI4dO1o9127duqlFixap3Nxc87ZHjx5V77//vub3sEuXLpWO/SpSfry0Vq1a6qGHHlJz585VKSkpqrCwULNtamqqmjdvnurVq5fN7649lq99UlKSaty4sXm5T58+6scff1QFBQVKqYvHSCkpKer555/XjJeWPRYsWKDruU2fPt3mZ+3GG29Uc+fONfcHZUpLS9WJEyfU8uXL1RtvvKEZZxk4cGCF9T3wwANWdYWFhakHH3xQLV++XKWlpWm2LyoqUv/884/67rvv1FNPPaUaNmxoLjd58mSHdRkxNgb4OxFRtWvXVo888ohatGiR5jyOUkqlp6erpUuXqmHDhlmNEwcFBakffvhBVz0ZGRmqTp06Vt/hO+64w+H5R0ePJUuWOKyzfD/cuHFjNWbMGLV48WJ15MgRzTGXyWRShw8fVjNmzFBXX321zT70lltu0TXeXPaaOnM8acnZ80C2jkfd2b8VFBSoBg0aWL33Tz75pPrrr7/M5wdMJpPat2+fev/991WtWrU0v+OW7fMGYjdiN2I324jd/BuJUpVk2YFW9nHrrbc6dWLuiy++sHliXuRi0lR8fLzd/4uIevPNN3XXVVhYqK644gqHdVkOHIlcPOG/a9cup3+sjDixZzKZ1IgRI+y+XmFhYSo2NtZqfXh4uNq8ebPTJwmee+45u3XVqFFDJSQkqICAAKv/3XTTTWrVqlVOPz/L/bg7geXkyZNWA40iolq3bu3WevRwNkBOT09XzZo1c/j5rlGjhs3/zZo1y+lgyh5PvYYmk0m99NJLNj9PZY/g4GBVs2ZNm8+z/KMqJEoppdSbb75p9zmEhIRYnWgTERUYGKgWLlzo8gmu+fPnq+joaLv1BgYGqvj4eBUbG2v3hF1Zv+mIZftmzJihbrvtNt19VtmjQYMG6tChQ7qe24ULF1T9+vUdfjYq+g6QKAVfU1JSooYMGWLzM1y3bl315JNPquXLl6vU1FTNoFBBQYH6+++/1dSpU9WNN95oFWs5SpRSSqnhw4db1VerVi314YcfWiVmL1q0SPXo0cNq+zp16qhz585V+Bx9IVHqn3/+sfrtLL8cHh6u0tPTnd6vUt49OC4tLVU333yzVV2RkZHq2WefVevXr1f5+fnm7UtKStSePXtUcnKyuuOOO1R4eHiFnw13JKW64z1TSlkNeFq+b1OnTnVpvydOnFC1a9e2ep6NGjVS48ePV9u2bbMatMnMzFSbNm1SU6ZMUbfffruKiIgwl/PlRCkjLozw50Qppbx/cQOJUoB3WB4nVObhTBJScnKy3WPk8PBwm2NcZb+JycnJuuupjolSRUVFdo+NDxw4UGH5Rx55xGbZV1991al2VIWTbUpdPIlmL1Fa5OLxRVhYmNX6Ll26qJ9++sktsZ8jti4sLf+IjIxUiYmJmhjN8tGxY0eHY962XvuNGzfafN7x8fE2x87KHq+88opTz2/y5MkO9xcUFKQSEhJUdHS0w3E1PSfbCgoKbB4Pln+EhoaqxMREFRkZ6XC7ik62KWXM2Bjgz2x9l4KDg1VCQoLN/qp8XLFw4ULd9dg6Zqrso6LfB8t+2PIRFRWlatas6fB8o8jF5IjyiSLOvqZVPVFKKaWWLFlid+w/NDRU1axZ0+akKa1PawAA0pVJREFUFg0aNFD//vuv1XpvIHbTX6dSxG5KEbtZfq+J3aombr3nI1q0aCFz5syRpUuXSkREhO5yDz/8sCxevFiSkpKs/qeUkvT0dJu3D4uNjZXk5GSnbqEVGhoqP/30k7Rq1cpuXZa3H7nuuutk1apVmvt4+rKAgACZPn26PP300zbvg1pYWCiZmZmadXFxcbJ06VLp0qWL0/X997//lZEjR9r8X25urly4cMFqusa7775bFi5cKMHBwU7X52l169aVO++802r9Y489ZkBrnBMXFycrVqyQFi1aWP2v7POdm5urWR8eHi6zZs2SoUOHuq0dnnoNAwIC5L333pMlS5ZIw4YNbW5TUlIiaWlpVs+zvMjISGnZsmWl2uItb7zxhrz//vs2b2NaXFxsdauWsLAwmT17tgwYMMDlOgcOHCi///673f7AZDJJenq6ZGZm2p3yNDAw0KnbT4lcfH+//fZbuf322zXrbfVZZVq3bi1r166Vpk2b6qojPj5eli1bZvM7AlRVQUFBMmvWLBk3bpzVFNKnTp2STz/9VPr16ye1a9eWkJAQqVmzpsTFxUlkZKS0adNGHn30UVm5cqVVrGV5q0pLn376qdx0002adefOnZNnn31WGjVqJOHh4RIXFydRUVEyYMAA2bBhg2bbpKQk+eGHHyQxMbESz957LrvsMunatat52TK2ufPOOzW3wHXGyJEjZfLkyVZ9/cqVK2Xw4MHSuHFj83sXExMjwcHB0qBBA+nXr5+89dZbsnPnTt11BQYGyrfffmv13uXl5cmHH34ovXr1koiICImJiZH4+HgJCQmRVq1ayfDhw2Xx4sW6btM3cuRIq9uL/f333zJx4kR55pln5LHHHtM8PDktu2WMWv59i4iIkHvvvdel/davX19++eUXq9+TY8eOyUsvvSSdOnWSsLAwiY6Olpo1a0pISIjExsZKt27d5LHHHpMlS5ZIfn6+S3V72xVXXGF1i/OMjAx5/vnnpVGjRhIVFSU1a9aU0NBQ6dq1q0yePNl8u4KbbrpJXnnlFSOa7dNefvlladasmWbd1q1b5bbbbpPo6GhJSEiQqKgoSUhIkEGDBsnGjRtF5GKs9MUXX8hll11mRLMB+Khhw4bJvHnzJCYmxup/BQUFNn+7Y2Ji5Pvvv5dhw4Z5o4lVVkhIiFxzzTVW6xs3bizNmzevsLzlLVwqWl/VNWrUSNauXWt1m+4ymZmZUlhYqFnXq1cvWb58uYSHh3u8fbbGSMvLy8uT8+fP243RBg0aJGvWrHFqzFtEpFu3brJkyRKrceX09HQpLi622j44OFjeeecdeffdd52q58knn5R169bZHPMWESktLZULFy5Idna23dvqhISESOvWrSusKywsTGbOnCnTp0+3ezxXVFQk58+fl7y8PLv7iYuLkyZNmlRYnxFjY0B1U1JSIhcuXLDqp8tcddVV8vvvv1f571VOTo6kpaXZPN8ocvFcyX//+19ZtWqVREZGerl1vuW2226TqVOn2ux7i4qKJC0tzeoWjldccYWsW7dO6tWr561mahC7OYfYzTZiN2K3qoZEKS8LCQmRhIQEadq0qdxyyy3yyiuvyIYNG2T//v0yePBgl/Z56623yqFDh+Ttt9+2GjS2VL9+fRkzZowcOnTIpUGd+vXry5YtW+S1115zeEKradOm8uWXX8qqVaskPj7e6XqMFBgYKB9//LH89ttv0rt3bwkMtP01CQ8PlwcffFBSUlLk+uuvd7mu6dOny/fff19hYsTVV18tCxYskHnz5vl0oHnzzTdrlqOiomTIkCEGtcY5zZs3lx07dsiLL77o8PMdHh4uQ4cOlZSUFI88N0++hv3795eDBw/KzJkzpUePHhIaGlphmaSkJLnnnnskOTlZUlNTK7xPsC8ZO3as7Ny5U2699VabgYXIxWBs4MCB8tdff7ncD5d32WWXyebNm+XXX3+VO+64Q9e92CMjI+Wmm26SDz74QI4dOyb/+9//nK43IiJCFi9eLMnJyQ6T2erXry/vvfee7Ny5U3eSVJl27drJ33//LfPmzZOhQ4fKlVdeKYmJiRIWFuZ0ewFfERAQIC+//LLs2LFD+vTpY3c7pZRcuHDBYaJj69atZcGCBbJmzRqHddaoUUOWLVsmTzzxhM04w1GSY/v27WXz5s3SsWNHh3X4mgcffNCl/+nhzYPjmJgYWb58uYwdO9bub2h2drZkZGTYrMteXFnGl5JS7733Xrsx58CBA3X9vtnTunVr2b59uwwZMsTua5KTkyMXLlywGjws74orrrD7++4r/O3CCKP5ysUNAPzHXXfdJXv37pUnnnjC4UV+MTEx8uSTT8q+fftk4MCBXmxh1WXrxJjek2V9+vSxihFq1KihSb73N40bN5YdO3bIxIkTpVGjRna3a9SokUyePFlWr14tCQkJXmnbk08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" ] @@ -444,25 +331,44 @@ "plt.savefig('feature_patterns.png')" ] }, + { + "cell_type": "markdown", + "id": "75555215-914a-4b0f-a512-093fb5a9384a", + "metadata": {}, + "source": [ + "We see a pattern which establishes the relationship between each of the variables under consideration.\n", + "For example, nodes of higher PM10 concentration are associated with nodes of higher 10m wind speed and 925hPa wind speed and vice versa. The horizontal and meridional wind patterns suggest a prevailing northeasterly trade winds, which are known to be associated with dust emissions and transport. Regions of high PM10 concentration correspond to somewhat lower temperatures, which may be expected, but more diurnal scale analysis is need to verify this statement. The analysis also reveals that increased dust concentration may lower relative humidity at the surface, and this could potentially affect tropical cyclone development over the North Atlantic as been speculated in many papers. " + ] + }, { "cell_type": "markdown", "id": "c93e5819-e2d7-4578-9591-ccdecbf2d695", "metadata": {}, "source": [ "## Most relevant feature plane\n", - "\n" + "By associating each neuron to the feature with the maximum weight, we divide the map into distinct regions, where specific features are most important (high values)." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "id": "4c50b1d5-c220-4833-9619-d6b5409cc510", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# cols = np.array(['sandybrown', 'red', 'darkgreen', 'steelblue', 'magenta', 'lighseagreen', 'blue', 'slateblue', 'orange',\n", - "# 'darkorange'])\n", "Z = np.zeros((num, num))\n", + "W = som.get_weights()\n", "plt.figure(figsize=(16, 10))\n", "for i in np.arange(som._weights.shape[0]):\n", " for j in np.arange(som._weights.shape[1]):\n", @@ -476,184 +382,16 @@ "\n", "plt.legend(handles=legend_elements,\n", " loc='center left',\n", - " bbox_to_anchor=(1, .75))\n", - " \n", + " bbox_to_anchor=(1, .7)) \n", "plt.xlim([0, num])\n", "plt.ylim([0, num])\n", - "plt.savefig('feature_importance.png')\n", "plt.show()" ] }, - { - "cell_type": "markdown", - "id": "48f0bca1-2d78-4353-a783-1c151394f100", - "metadata": {}, - "source": [ - "# Random Forest Regression" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "d65a64ee-d11e-4fdb-980d-b38566e8df90", - "metadata": {}, - "outputs": [], - "source": [ - "# Load packages\n", - "from sklearn.ensemble import RandomForestRegressor \n", - "from sklearn.metrics import mean_squared_error,mean_absolute_error\n", - "from sklearn.preprocessing import StandardScaler\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "#Model evaluation\n", - "from sklearn.metrics import mean_squared_error,mean_absolute_error" - ] - }, - { - "cell_type": "markdown", - "id": "c3fd0e87-5771-4ed6-993e-74b7c42576bb", - "metadata": {}, - "source": [ - "# Define a function for error calculations" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "ce4d65f3-7328-4ebe-ad72-eb82a0ae817e", - "metadata": {}, - "outputs": [], - "source": [ - "def regression_stats(model_fit, model_name, features_test, pred, target_test):\n", - " #Calculate and display model error\n", - " score = model_fit.score(features_test,target_test)\n", - " print('\\n'+model_name)\n", - " print(f'Score : {score}')\n", - " print(f'MAE: {mean_absolute_error(pred,target_test)}')\n", - " print(f'RMSE : {np.sqrt(mean_squared_error(pred,target_test))}')" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "6e25ead8-7ebc-4524-a6da-cc6604592b2d", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Random Forest\n", - "Score : 0.9097126757264253\n", - "MAE: 298.1974527094828\n", - "RMSE : 423.72012922539517\n" - ] - } - ], - "source": [ - "target_vars = dust_df['PM10'] # PM10 concentration is the target variable\n", - "features = dust_df.drop(['PM10'], axis=1) # remaining variables should be features\n", - "\n", - "# split the data into 70% training and reserve 30% for testing\n", - "train_features, test_features, train_target, test_target = train_test_split(features, \n", - " target_vars, test_size = 0.3)\n", - "\n", - "# Now train the model using the training sets\n", - "rf = RandomForestRegressor(n_estimators=200,\n", - " random_state=42, n_jobs=-1)\n", - "# Fit Random forest model\n", - "rf.fit(train_features, train_target)\n", - "predictions = rf.predict(test_features)\n", - "\n", - "regression_stats(rf,'Random Forest',test_features, predictions, test_target)" - ] - }, - { - "cell_type": "markdown", - "id": "628598ea-f3df-441e-8a61-ae3583f358f1", - "metadata": {}, - "source": [ - "# Variable importance" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "8e3b5e43-6d3b-4909-a9cd-d04be9412ad2", - "metadata": {}, - "outputs": [], - "source": [ - "# customize figure \n", - "import matplotlib as mpl\n", - "mpl.rcParams['font.size'] = 28\n", - "mpl.rcParams['legend.fontsize'] = 'large'\n", - "mpl.rcParams['figure.titlesize'] = 'large'\n", - "mpl.rcParams['lines.linewidth'] = 2.5\n", - "mpl.rcParams['axes.linewidth'] = 2.5\n", - "mpl.rcParams[\"axes.unicode_minus\"] = True\n", - "mpl.rcParams['figure.dpi'] = 150\n", - "mpl.rcParams['savefig.bbox']='tight'\n", - "mpl.rcParams['hatch.linewidth'] = 2.5" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "05d5a75c-3dde-4b85-b9f3-98210eb8d2de", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0, 0.5, 'Features')" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "col_names = list(features.columns)\n", - "cols = np.array(['red', 'blue', 'green', 'cyan', 'pink', 'olive', 'purple', 'magenta',\n", - " 'indigo'])\n", - "\n", - "fig, ax = plt.subplots(1,1, figsize=(22,14), sharex=False, sharey=False, \n", - " constrained_layout=True) \n", - "\n", - "sorted_idx = rf.feature_importances_.argsort()\n", - "importances = rf.feature_importances_\n", - "x_values = col_names\n", - "\n", - "# Make a bar chart\n", - "ax.barh(features.columns[sorted_idx], \n", - " importances[sorted_idx], color=cols)\n", - "\n", - "ax.set_xlabel('Random Forest Feature Importance') \n", - "ax.set_ylabel('Features')" - ] - }, - { - "cell_type": "markdown", - "id": 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sklearn.ensemble import RandomForestRegressor" ] }, + { + "cell_type": "markdown", + "id": "99005c55-69b9-417b-ac48-becfde251900", + "metadata": {}, + "source": [ + "# Key packages\n", + "| package | Use |\n", + "| --- | --- |\n", + "| [minisom package](https://github.com/JustGlowing/minisom/blob/master/Readme.md) | Self-organizing maps (SOM) |\n", + "| [scikit-learn packages](https://scikit-learn.org/stable/index.html) | Machine learning |\n", + "| [matplotlib](https://matplotlib.org/3.1.1/index.html) | for plotting |" + ] + }, + { + "cell_type": "markdown", + "id": "6a9d2377-803f-4bad-9cc1-065983420397", + "metadata": {}, + "source": [ + "### Global figure settings\n", + "This piece of code sets the font size, line widths, figure title size, and resolution for all figures generated in this cookbook." + ] + }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 3, + "id": "2ac190bf-4ebf-479a-83d6-99b269f3511f", + "metadata": {}, + "outputs": [], + "source": [ + "# customize figure \n", + "import matplotlib as mpl\n", + "mpl.rcParams['font.size'] = 28\n", + "mpl.rcParams['legend.fontsize'] = 'large'\n", + "mpl.rcParams['figure.titlesize'] = 'large'\n", + "mpl.rcParams['lines.linewidth'] = 2.5\n", + "mpl.rcParams['axes.linewidth'] = 2.5\n", + "mpl.rcParams[\"axes.unicode_minus\"] = True\n", + "mpl.rcParams['figure.dpi'] = 150\n", + "mpl.rcParams['savefig.bbox']='tight'\n", + "mpl.rcParams['hatch.linewidth'] = 2.5" + ] + }, + { + "cell_type": "markdown", + "id": "5d50aa12-f580-4fb3-9fd3-7c2658374e93", + "metadata": {}, + "source": [ + "# Import data" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "4d3b22d5-ce76-409e-aa0f-52503b739f62", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Shape of data: (18466, 10)\n", + " PM10 T2 rh2 slp PBLH RAINC \\\n", + "time \n", + "1960-01-01 2000.1490 288.24875 32.923786 1018.89420 484.91812 0.0 \n", + "1960-01-02 4686.5370 288.88450 30.528862 1017.26575 601.58310 0.0 \n", + "1960-01-03 5847.7515 290.97128 26.504536 1015.83514 582.38540 0.0 \n", + "1960-01-04 5252.0586 292.20060 30.678936 1013.92230 555.11860 0.0 \n", + "1960-01-05 3379.3190 293.06076 27.790462 1011.94934 394.95440 0.0 \n", + "\n", + " wind_speed_10m wind_speed_925hPa U10 V10 \n", + "time \n", + "1960-01-01 6.801503 13.483623 -4.671345 -4.943579 \n", + "1960-01-02 8.316340 18.027075 -6.334070 -5.388977 \n", + "1960-01-03 9.148216 17.995173 -6.701636 -6.227193 \n", + "1960-01-04 8.751743 15.806478 -6.387379 -5.982842 \n", + "1960-01-05 6.393228 9.160809 -4.238991 -4.785845 \n" + ] + } + ], + "source": [ + "# Loading and visualizing the data\n", + "dust_df = pd.read_csv('./saharan_dust_met_vars.csv', index_col='time')\n", + "# print out shape of data \n", + "print('Shape of data:', np.shape(dust_df))\n", + "\n", + "# print first 5 rows of data\n", + "print(dust_df.head())" + ] + }, + { + "cell_type": "markdown", + "id": "face51de-4e92-48da-8d3f-0ee0251105c7", + "metadata": {}, + "source": [ + "## What is the data distribution?\n", + "Understand your data first before usage. " + ] + }, + { + "cell_type": "code", + "execution_count": 7, "id": "2b4f0011-baf3-43f1-9501-2bfcb1c0bb17", "metadata": {}, "outputs": [ { "data": { - "image/png": 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8eXLGa7SGora6/vrry3wu9e/fP2PXMs6oiTZu3Jj43e9+l2jWrFmlXt/OPvvsStVhfJFtNIRQqptuuqnUwZ+Xl5fo169f4uKLL05cffXViUsuuSQxYMCAUjcLIiLxi1/8otw1XHbZZZWatKvyDzzLli1LHHLIIZWqb+edd068/PLLGatp/fr1iZNOOqlSNdWvXz/xyCOPZKymrVu3Ji688MJK1ZSfn58YPXp0xmqidjGPbN/zzz9fqRqquiHEPEJ1M4+U7t13303k5eVV6vqp/p100kmJZcuWZez3ZB4BIF3ZsBeyo3z88ceJrl27Vur1cY899ki899571f2jQJXL5oaQ6l4TpJKNe5TUDNbn5ZONY9H6nG/KtjGd7Q0hxjRQVWrTXkhF2D8hF918880Zfz9Tp06dxJVXXpnYvHlzRmq0hqK2mjdvXqJBgwZlPo8y1RBinFETzZ49O9GjR4+MvLZV5vNuxhfZSEMIZbr88sszMnmeccYZia1bt5b7+hdffHGlrltVf+BZuXJl4jvf+U5Gfjf169dPTJgwodI1bdq0KXHUUUdlpKa8vLyMTew//vGPM1JTRCSuu+66jNRE7WIe2b6//vWvlbp+VTeEmEeobuaR0r399tsZG5/f/tetW7fE8uXLM/K7Mo8AUB7VvReyIyxcuDDRrl27jPyczZs3T8yYMaO6fySoUtnaEJINa4Jvy9Y9SmoG6/P0ZetYtD7nm7JtTGdzQ4gxDVS12rAXUhH2T8hVv/3tb6vsfc2wYcMqPc6toajNjjjiiO0+hzLREGKcURO98sor5bqz6Pb+VfTzbsYX2So/oAw33HBD/OEPf4j69etX6Pw6derEVVddFY888kjk59ecp9vw4cNj+vTpKY8dddRR8fTTT8fixYujuLg4Vq1aFZMmTYpLLrkkGjdunPT4TZs2xdChQ+PTTz+tVE2XXnppvPTSSymPHXzwwfHII4/EggULori4OIqKiuLdd9+Nq666Kpo3b570+EQiEeecc05MnTq1UjXdfPPN8eCDD6Y8tu+++8aYMWNi3rx5sXHjxli3bl3MnDkzbrrppmjbtm3Kc6688sp49tlnK1UTZItsnEeykXkESpft88juu+8ep59+eowZMyb+9a9/xfz582P9+vVRVFQUn3zySTz11FNx1llnRUFBQcrzZ82aFUcddVSsX7++UnWYRwAor5q+F1JcXBxDhgyJhQsXJh3Ly8uL0047Lf7+97/H0qVLY/PmzfHll1/GxIkT45xzzol69eolnbNixYo48cQTY/Xq1TuifOAbsnFNkI17lFDVjMX0WJ9DxRnTQFWr6XshFWH/hJqqa9euccEFF8QTTzwR7733XixevDg2bdoUK1asiFmzZsW9994bgwYNKvX8xx57LH76059WqgZrKGqrP/7xj/Hqq6/ukGsZZ9Q0r7/+ehx99NGxZs2alMcPOOCAuO6662LSpEnx8ccfx/r162PdunXx2WefxVtvvRW33XZbnHbaabHTTjtVuhbji6xVjc0o5JB58+YlTj755ER+fn7anWKDBg2q9G0vy/p2oIKCgkTPnj0T559/fuKMM85I+Ziq+Mave++9N+W1GjVqlHjqqafKPPfTTz9N9OzZM+PdvS+//HLKnHXq1EncfvvtZZ775Zdfltod2KlTp8SmTZsqVNOsWbMS9erVS5l35MiRiS1btpR67vr16xPDhw9PeW7z5s0z9m3h1A7mke0r6w4heXl5ic6dOyeGDRuW+NWvfpXRjuntMY+QLcwjpfv2HUKaNGmSuOCCCxJvv/122jkWLlyYGDhwYKm/4yuvvLJcNX2TeQSAyqiuvZCqVtr7+pYtWyZeffXVMs+dMWNGYq+99kp5/vDhw3fMDwDVINUdQq666qpqrSlb1gTflI17lNQs1ufpycaxaH1OKtk2plPdIaSq746dDmMa2JFq6l5IRdg/IZd9+w4hbdu2TVxzzTWJjz/+OO0ckyZNSuy5556ljv2Kfpu5NRS11ZIlSxLNmjUr8Rw5+OCDM/58TiSMM2qeuXPnJnbeeeeUz4GuXbsm3njjjbRzbdy4MfHMM88k+vfvn/jRj35U7lqML7KZhhDKZf78+Ynf//73iRNOOCHRsWPHRJMmTRJ16tRJNG7cONG+ffvE9773vcSoUaMSs2fPzsj1vt4MrlOnTmK//fZL/PjHP07cddddiXfeeafEZPPggw+mnJQyvRm8atWqRIsWLZKuk5+fn/jHP/6Rdo5u3bqlrPeJJ54od01btmxJ7LPPPinz3XvvvWnl2LRpU6m3pBs9enS5a0okEolBgwalzPfrX/86rfO3bdtW6ib/+eefX6GaqJ3MI9v3zYaQ9u3bJ04++eTE6NGjExMnTkysWrXqv4+bP39+ymtW1R/FzCNkC/NI6b5uCGnZsmXit7/9bWL16tUV+pm2bt2a8o/uEZFo0KBBYv78+RXKax4BIBN29F5IVfr4448T9evXT3pda9y4cWL69Olp5Vi4cGGiVatWSTny8vLK1RQKuSTbGkKyaU3wtWzdo6RmsT7fvmwdi9bnpJJtYzobG0KMaaC61KS9kIqwf0Ku+7ohZL/99ks8/vjjZTZrlmXFihWJ7t27p3zN7tatW2Lr1q3lymcNRW126qmnlnhu1K1bN/H++++nfN5U5oPhxhk1TXFxcalNFMOHD69Uw8KXX35ZrscbX2Q7DSFktX/+85+JN998M7Fu3boyH7ejNoNHjRqV8jr/+7//W648M2bMSNStWzflgmnbtm3lyvWnP/0pZU2nnXZaufJ88cUXicLCwqQ8LVq02O7v/9v++c9/pqypX79+5VoQrlu3LuU3DhQUFCQ+++yzctVE7WUe2b5PPvkk8fe//z2xbNmyMh+3IxtCzCNkE/NI6d5///3EVVddlSgqKqrIj1JCcXFxok+fPil/tmuvvbbc+cwjAJDs3HPPTfn6ePfdd5crz4svvpgyzzHHHFNFlUP1yraGkGxaE3wtG/coqXmsz7cvG8ei9TmlybYxnY0NIcY0QPWwf0Kue/TRRxOPPPJIudcTqSxatCjRtGnTlM/lN998s1y5rKGorZ577rmk58Zll12WSCQSKZ9/lWkIMc6oaa677rqUz59TTjmlwg2PFWV8ke00hFAj7IjN4C1btiRat26dctKryIcgR4wYkbLml156qVx5DjrooKQc9erVSyxcuLDcNX37tpFf/7vnnnvKlWfo0KEp80yePLncNT3++OMpc11xxRXlzgVlqc3zSLp2ZEOIeYRcZB6pvEmTJqWsp2fPnuXOZR4BgJK+/PLLlN9uue+++5b72/wSiUSpt5CeM2dOFVQP1SubGkKydU2QjXuU1F61eX2ejWPR+pzKqs0NIcY0wI5n/wSSlfYB2EsvvTTtHNZQ1FZFRUWJtm3blnhOtG/fPrF27dpEIpHZhhDjjJrm888/TzRu3Djpv3fXrl0TGzdu3KG1GF/kgvwA0jJhwoT44osvkuLnn39+NGnSpNz5Lr300pTxsWPHpp1j7ty5MWXKlKT4aaedFm3bti13TRdccEE0atSoUjWtXr06nnvuuaT4oYceGn369Cl3TUOHDo127dolxR999NFIJBLlzgfVKRvnkWxkHoHS1fR5pF+/frH33nsnxd99993YsGFD2nnMIwCQ7M9//nNs2rQpKX7JJZdEfn75twj/53/+J2X80UcfLXcuIH3ZuCbIxj1KqGrGYnqsz6HijGljGqge9k8g2Zlnnpky/tZbb6WdwxqK2uqKK66IRYsWlYjdeeed0bhx44xfyzijpvn9738f69atS4rfeeedUb9+/R1ai/FFLtAQAml6+umnU8ZLW/hsT6dOneLggw9Oij/77LOxefPmaqmpsLAwTjjhhKT4pEmTUr6gpfL888/Hxo0bM1ZTnTp1YtiwYUnxRYsWxb/+9a8K5YTqko3zSDYyj0DpasM8csghh6SM/+c//0k7h3kEAJKleh9Rv379GDp0aIXyDRgwIHbfffek+J///OcK5QPSk41rgmzco4SqZiz6ewFUNWPamAaqh/0TSNa2bduUTZxLlixJO4c1lP2M2mjy5Mnxhz/8oUTs+9//fhx33HFVcj3jzDirSdatWxf33XdfUvy73/1uDBgwYIfXY3wZX7lAQwikacKECUmxTp06RefOnSuc89hjj02KFRUVxeTJk9M6f/z48Umxxo0bxxFHHJHRmhKJRMqfP92aIqJSb2ZT1VTWtSBbZeM8ko3MI1C62jCPtGrVKmW8PA0h5hEAKGnjxo0pv7HvsMMOi6ZNm1YoZ35+fhx99NFJ8blz5yZ94xmQOdm4JsjGPUqoasaivxdAVTOmjWlgx7N/AqVL9fe78vztzhrKfkZts3nz5jj33HNj27Zt/43ttNNOcfvtt1fZNY0z46wmGTduXKxevTopfsEFF1RDNcaX8ZUbNIRAGhYtWhQLFixIih9++OGVylva5Pv6669v99zNmzennPz79esX9erVq5aaIiLefPPNpFinTp1SfutFuvr06RMNGzascE2QDbJxHslW5hFIrbbMI9/cFPumBg0apJ3DPAIAJU2ZMiXlN/nWtPcRUNNl45ogW/cooSoZi/5eAFXNmDamgeph/wRKl+rvd+n+7c4aynivjW644YaYOXNmidi1114bbdq0qZLrGWfGWU2T6m5qDRo0SHkHi6pmfBlfuUJDCKThvffeSxnv2bNnpfIecMABUadOnaT4tGnTtnvu7NmzY9OmTRmvqU2bNik7+9OpadWqVfHJJ59kvKZ69epFjx49KlQTZItsnEeykXkESldb5pGPP/44Zbx169ZpnW8eAYBkVfU+olevXinjXh+hamTjmiAb9yihqhmL/l4AVc2YNqaB6mH/BEqX6n1Aun+7s4Yy3mubuXPnxnXXXVciduCBB8ZPf/rTKrumcWac1SRbt26NV199NSl+2GGHRePGjXd4PcaX8ZUrNIRAGmbMmJEy3q1bt0rlbdSoUbRv3z4p/sEHH1RbTRER++67b1Js1qxZpX5j99dKq7uqalqxYkV8/vnnlc4NO0I2ziPZyDwCpasN88i2bdtS3o59p512ihYtWqSVwzwCAMmq6n1Ex44do6CgICmeq+sRyHbZuCbIxj1KqGrGor8XQFUzpo1poHrYP4HUPvjgg1ixYkVSfM8990zrfGso+xm1SSKRiPPOO6/EB7Xz8/PjnnvuSfnB70wxzoyzmmTatGmxZs2apPhhhx1WDdUYXxHGV67QEAJpSNXpHvHVwr2yUuVYsGDBdifQHV3Tpk2btrvxuqNrKuuakG2ycR7JRuYRKF1tmEf+8Y9/xLJly5LigwcPjvz89JYu5hEASJbqtaphw4aVvj19nTp1okOHDmldD2qa+fPnx6233hqnnHJKdOvWLXbdddcoKCiIXXbZJTp37hx9+/aNc845J8aOHRuffvppRq6ZjWuCbNyjhKpmLPp7AbXHf/7znxgzZkz88Ic/jP333z9at24dBQUF0axZs9h7772jd+/eceaZZ8Z9990Xc+fOzdh1jemyrwlQVeyfQGpjx45NGT/66KPTOt8ayn5GbXLffffFG2+8USJ20UUXlXq3qEwxzoyzmqS0O3IccMABJf7/5s2b45lnnomf/OQn0aNHj9h5552jXr160aJFi+jatWsMGDAgrrrqqnjrrbdiy5YtFa7H+DK+coWGEEhDqj/a1q1bN3bbbbdK5959992TYps3b97uBFraH5IruxlRWk0RX73YlCUba4JskY3zSDYyj0DpasM8Mnr06JTx448/Pu0c5hEASJbq9bF169aRl5dX6dypXh8XLlyYkw3qUB6PPPJI/PKXv4y//OUvMXv27Fi2bFls3rw5VqxYEfPmzYvJkyfHH//4xxg+fHh06NAhDj/88HjxxRcrdc1sXBN4/01tZCx+xd8LqA3+8Y9/xAUXXBCPPfZYfPDBB7FkyZLYvHlzrFq1Kj755JOYMmVKPProo3HeeefFPvvsEwceeGA88cQTsXXr1kpdNxvHTzbWBJBp9k8g2Zdffhn33ntvymPp/v3OGuor3tvUfF988UX87//+b4nY7rvvHqNGjaryaxtnXzHOaoZZs2aljH9954pt27bFvffeG3vuuWecfPLJ8eCDD8aMGTNi9erVsWXLlvjyyy9jzpw58eqrr8Y111wT3/3ud2OvvfaK++67r0KNIcbXV4yv7KchBNKwdOnSpNiuu+6akYV/q1at0r5mOscz8UKT6ZpKy7cjaoJskY3zSDYyj0Dpavo88uSTT8abb76ZFG/RokUMHTo07TzmEQBIluq1KhOvjaXl+fpDcsD/7/XXX49jjjkmDjrooPjoo48qlCMb1wTZuEcJVc1YrFxN1ufUZNOmTYvTTz89unbtGlOmTKlwHmM6vZoAMs3+CSS78sorY/Xq1UnxY445Jtq3b59WDmuo9Goi9/3sZz9Lmtdvv/322Gmnnar82sZZejWRG+bPn58Uq1OnTuyxxx6xfPnyOPLII2PEiBGxePHitHMuWrQozjvvvNh///3jww8/LFc9xld6NVH9NIRAGlasWJEUKywszEju0vKkuub2jjds2DAKCgqyqqay8u2ImiBbZOM8ko3MI1C6mjyPLF26NH7605+mPParX/0qGjVqlHYu8wgAlFRcXBzr1q1LiteU9xGQa6ZOnRoHHnhgPPXUU+U+NxvXBNm4RwlVzViseE1l5dsRNcGOMm/evDj00EPj9ttvr9D5xnR6NQFkkv0TSPbKK6/EPffckxTPz8+Pa665Ju081lDp1URue/bZZ+Mvf/lLidixxx4bJ5988g65vnGWXk3khiVLliTFdtttt1ixYkUcdthh8corr1Q497///e84+OCD49VXX037HOMrvZqofnWruwDIBUVFRUmxJk2aZCR3aV3Aqa6ZizVFZKauitYE2SIbx2w2Mo9A6WrqPLJt27b44Q9/GMuXL0861r179/jZz35WrnzmEQAoqSpfGyO8PlJ7tWjRIvbbb7/o2LFjFBYWRpMmTWLNmjXx5ZdfxgcffBDvv/9+bNu2LeW5RUVFcdppp8Xq1avj3HPPTfua2bgmyMaaoKpl4/M+V2qKsD4ntxQWFka3bt2iS5cu0axZs9hpp51i7dq1sWLFipgzZ05MnTo1Nm/enPLc4uLiuPjii2Pp0qVx3XXXleu6xnR6NQFkkv0TKOk///lP/PCHP4xEIpF07LzzzouePXumnStX3ttUd03krjVr1sRFF11UItaoUaO48847d1gN2ficzsaayA2pPjvStGnT+P73vx///ve/k461aNEiBgwYEHvssUc0atQo/vOf/8T06dNj6tSpKV/HVq5cGccff3y88847se+++263nmx8LmdjTVQ/DSGQhuLi4qRYJrrpIiLq1auXMr5p06YaUVNEZuqqaE2QLbJxzGYj8wiUrqbOI7/61a9iwoQJSfF69erFww8/HHXrlm/JYh4BgJKq8rUxwusjtcthhx0WQ4YMiWOPPTY6depU5mPXrFkTjz32WNx0003x8ccfp3zMBRdcEB07dowjjjgiretn45ogG2uCqpaNz/tcqSnC+pzs17Nnzzj55JPj2GOPjf3337/Mx65fvz6effbZuPHGG2P69OkpHzNq1Kjo0qVLnHnmmWnXYEynVxNAJtk/gf/f5s2bY+jQoSm/ob1Dhw7xu9/9rlz5cuW9TXXXRO4aOXJkLF68uETsqquuig4dOuywGrLxOZ2NNZEbNmzYkBSbM2dOUmyvvfaKm266KU488cTIz89POr5o0aK48sorY+zYsUmNIevWrYtTTjklpkyZEo0bNy6znmx8LmdjTVS/5FEAJEn17T7l/XBiaUqbQEv7RqFcqykiM3VVtCbIFtk4ZrOReQRKVxPnkbFjx8YNN9yQ8tgNN9wQBxxwQLlzmkcAoKSqfG2M8PpI7XDmmWfGv//973j99dfjF7/4xXabQSK++say888/P+bMmROXXXZZ5OXlJT1m69atcdZZZ8W6devSqiMb1wTZWBNUtWx83udKTRHW52SvY445Jt55552YOnVqXHHFFdttBon46lt/Tz/99Jg2bVrcfPPNpT43L7zwwvj888/TrsWYTq8mgEyyfwL/v/PPPz/efPPNpHhBQUE88cQT5f4G8lx5b1PdNZGb/vnPf8aYMWNKxPbbb7+45JJLdmgd2ficzsaayA2lNep+0+GHHx7vv/9+DBkyJGUzSERE27Zt4+GHH45HHnkk6tSpk3T83//+d6mfV/mmbHwuZ2NNVD8NIZCGVC8a27Zty0ju0vKU9kKVazWVlW9H1ATZIhvHbDYyj0Dpato8MmHChDjnnHNSHjv11FPjl7/8ZYXymkcAoKSqfG0sK4/XR2qSs88+O/bZZ58KnVu3bt248cYb449//GPK44sWLYpbbrklrVzZuCbIxpqgqmXj8z5Xaior346oCcpy6qmnxkEHHVTh8y+55JJ4/vnnU34AY+3atfF///d/aecyptOrCSCT7J/AV6655pp44IEHUh679dZbo0+fPuXOmSvvbaq7JnJPcXFxnHvuuSXuPJCXlxf33HNPxj6Yna5sfE5nY03khlRfrvRN++yzT/z9739Pu0HxjDPOiFtvvTXlsTvvvDPWrl1b5vnZ+FzOxpqofv4LQRpS3U5py5YtGcldWp7t3cIpV2oqK9+OqAmyRTaO2WxkHoHS1aR55J133okhQ4ak/GaHww8/PB555JEK5zaPAEBJVfnaWFYer49Q0o9//OMYOXJkymO33357Wt+ulY1rgmysCapaNj7vc6WmsvLtiJqgqg0ePDjuvPPOlMfGjh0bS5cuTSuPMZ1eTQCZZP8EIv7whz/EVVddlfLYFVdcERdccEGF8ubKe5vqroncc/3118fs2bNLxM4999zo16/fDq8lG5/T2VgTuWF7/x0feuihaNiwYblyXnTRRXHYYYclxVeuXBkPP/xwueup7udyNtZE9dMQAmlo0KBBUmzDhg0Zyb1+/fqU8e29aOVKTRGZqauiNUG2yMYxm43MI1C6mjKPzJw5M44++uiU37LQq1ev+Nvf/hb169evcH7zCACUVJWvjRFeH6E8/u///i/atGmTFF+2bFlMnDhxu+dn45ogG2uCqpaNz/tcqSnC+pya77zzzouePXsmxYuLi+OZZ55JK4cxnV5NAJlk/4Ta7k9/+lP89Kc/TXlsxIgRcf3111c4d668t6numsgt//73v+O3v/1tidiuu+4ao0ePrpZ6svE5nY01kRtKe18WEdG/f/8K3a0qLy8vLr/88pTHXn755XLXU93P5WysieqnIQTS0KxZs6TYmjVrMpK7qKgo7Wtu73hpuaqzpojM/K4qWhNki2ycR7KReQRKVxPmkY8++iiOPPLIWLFiRdKxbt26xT/+8Y/YaaedKnUN8wgAlNS0adOUt6fPtfcRUBM0bNgwfvnLX6Y8NmHChO2en41rgmzco4SqZixWvKYI63Nqvry8vLjiiitSHkvn9T7CmE63JoBMsn9CbTZu3Lj40Y9+FIlEIunY6aefHn/4wx8qld8aKr2ayB2JRCLOPffcKC4uLhH//e9/X23/nY2z9GoiNzRv3rzUY2eddVaF8x599NGx6667JsXffPPNlK+BXzO+0quJ6qchBNKwyy67JMW+/PLLjORevnx5ynhZL2yl1bR169ZYtWpVVtUUkZnfVUVrgmyRjfNINjKPQOlyfR5ZuHBhDBw4MJYsWZJ0rGPHjjF+/PhS54DyMI8AQLJUm7S59D4CapJjjz02ZXzq1KnbPTcb1wTZuEcJVc1YrHhNEdbn1A6DBw+OevXqJcXTeb2PMKbTrQkg0+yfUBu9/PLL8YMf/CC2bNmSdOzEE0+MRx55JPLzK/fxQmuo9Goid4wZMyYmTZpUIjZw4MD44Q9/WE0VGWfp1kRuKOtzI/369atw3vz8/Dj44IOT4itXroyPP/64XPUYX2QjDSGQhjZt2iTFVq9enZHbLKX6UGRExB577FHumsrKV1trgmyRjfNINjKPQOlyeR5ZsmRJDBw4MBYuXJh0rG3btjFhwoRo3bp1Rq5lHgGAZKleHzPx2lhanubNm7t1NJRin332SfmHk08++WS752bjmsD7b2ojYzF3a4IdZaeddoru3bsnxRctWhSbN2/e7vnZOH6ysSaATLN/Qm3zxhtvxJAhQ2LTpk1Jx4488sh48sknU945p7ysodKridywfPnyGDlyZIlY/fr14+67766mir5inKVXE7mhtP+O9evXj86dO1cq9/77758yvmzZslLPMb7Sq4nqV/l3bVALdOjQIWV8wYIF0bVr10rlXrBgQVJsl112iZ122qlCNc2fPz/22WefjNdU1jXTqamySqtpzz33rHRu2BGycR7JRuYRKF2uziPLly+PgQMHxkcffZR0rFWrVjFx4sRo3759pa/zNfMIACTr0KFDTJ8+vURs6dKlsX79+mjUqFGlcqd6ffTaCGXbbbfdYsWKFSVi6XyjWDauCbJxjxKqmrFY9jXTqamyrM/JBbvttltSbNu2bbFq1apo2bJlmeca018xpoEdzf4Jtcm//vWvOO6442L9+vVJx7773e/GuHHjon79+hm5ljVU2dckt3z22WexZs2aErEuXbrEk08+mbFrfPrpp3HdddclxVu1ahXnnHNOynOMs7KvSW7Za6+9UsZ33nnnyMvLq1Tu0u5yUdb+vPFV9jXJHhpCIA1dunRJGf/www8rPanPmzcvKZZOJ2NZNR199NEZr6l169bbfaEpq6bKSlVTnTp1Yu+99650btgRsnEeyUbmEShdLs4jK1eujCOPPDJmz56ddGyXXXaJ8ePHR6dOnSp9nW8yjwBAslSvj4lEIubNmxc9evSocN7Vq1en/NakXF2PwI7SrFmzpNjGjRu3e142rgmycY8Sqpqx6O8FkI5Ur/cRlX/NN6YBqo79E2qLadOmxfe+970oKipKOnbQQQfF888/X+kmqG+yhrKfUdPNmDEjZsyYkbF8CxYsiN/85jdJ8R49epTaEGKcGWc1SWkNDU2aNKl07tKeI6tXry71HOPL+MoV+dVdAOSCAw44IGX8298OUV4LFiyIVatWpX29HVFTcXFxyg9tplNT586do3HjxhmvKeKrBem3denSxS1UyRnZOI9kI/MIlC7X5pGioqL43ve+l7K+wsLCePnll2O//far1DVSMY8AQLKqeh+R6rWxrOsBX1m5cmVSLJ33lNm4JsjGPUqoasaivxdAOlK93kdU72u+MQ1QNvsn1AazZs2KwYMHp1x77L///vHSSy9F06ZNM3pNayjjnapnnBlnNUnPnj1TxteuXVvp3KmaISO++gxLaYwv4ytXaAiBNPTo0SPlrRAnT55cqbxvv/12ynjv3r23e+5uu+0W7dq1y3hN7777bhQXF1eopvz8/JQvyFOnTo0tW7ZUuKYvvvgiPv300wrVBNkiG+eRbGQegdLl0jyyfv36OOaYY+Kdd95JOtakSZN48cUX48ADD6xw/rKYRwAgWWmvV9n4PgJqg//85z9JsdJuVf9N2bgmyMY9SqhqxqK/F0A6Ur3e5+fnl/khk68Z08Y0UD3sn1DTffjhhzFo0KBYvnx50rF99tknxo8fX+pdzirDGsp4p+oZZ8ZZTdKhQ4fYbbfdkuKrVq2KRCJRqdwrVqxIGW/RokWp5xhfxleu0BACaWjQoEH07ds3Kf7mm2/Gpk2bKpx3/PjxKeMDBw5M6/wBAwYkxebMmROLFi3KeE2DBg2qcE1r166t1ItNZWuCbJCt80g2Mo9Aarkyj2zcuDFOOOGEeOutt5KONWzYMJ577rmUP0cmmUcAoKQ999wz9txzz6R4aa9v6Up1fqNGjar8tR5y2Zw5c1L+0alDhw7bPTdb1wTZuEcJVclY9PcC2J6ioqL44IMPkuJt2rSJevXqpZXDmDamgR3P/gk12fz582PgwIGxZMmSpGN77713TJw4MXbdddcqubY1lPc2VD3jzDiraVL999y0aVN8+OGHlco7Y8aMlPFUDShfM76Mr1yhIQTSdMwxxyTF1q1bF3//+98rlG/z5s3x7LPPJsX333//2GOPPSpcU0TE008/XaGaSju3efPm0adPn0rV9Oc//zmjNdWpUycGDx5c4ZxQHbJxHslG5hEoXbbPI5s3b45TTjklJk6cmHSsoKAg/vrXv8bhhx9ekVLLxTwCAMmOPvropNjHH38c06ZNq1C+pUuXxhtvvJEUHzRoUBQUFFQoJ9QGL7zwQsp4qm/cTiUb1wTZuEcJVc1Y9PcCKMvLL78cmzdvToqn+3ofYUwb00B1sX9CTbR48eIYOHBgfPbZZ0nH2rVrFxMnTozdd9+9SmuwhrKfUVN85zvfiUQikbF/qfTv3z/lY6dPn15mbcaZcVaTHH/88SnjkyZNqnDObdu2pfxCg1atWqVsCv4m48v4ygUaQiBNP/jBDyIvLy8pPmbMmArle+qpp1J+G+CwYcPSznHcccfFTjvtlBS/9957K3R7rEmTJqX8xqJTTz016tatm1aOgw46KDp16pQUHzt2bKxbt67cNS1cuDBefPHFpPiRRx4ZLVu2LHc+qE7ZOI9kI/MIlC6b55GtW7fGsGHDUn7ArW7duvHUU0/FUUcdVaE6y8s8AgDJSnt9r+j7iPvuuy+2bt2a9nWAr+6md8stt6Q8lurbvFLJxjVBNu5RQlUzFv29AMoyevTolPF0X+8jjGljGqgu9k+oaZYuXRoDBw6M+fPnJx1r3bp1TJw4Mdq3b1/ldVhD2c+g6hlnxllNcsIJJ0TTpk2T4o888kiFc7744ouxdOnSpHg6a3Xjy/jKBRpCIE1t27aN733ve0nxl19+Od5+++1y5dqyZUtcf/31SfGCgoIYPnx42nkaNmwYZ5xxRlJ8zpw58cQTT5SrpoiIa665JmX83HPPLVeec845Jym2cuXKuP3228td06hRo2LLli2VrgmyQTbOI9nKPAKpZes8kkgk4ic/+Ump3+j36KOPxoknnliunJVlHgGAkvr16xf77rtvUvzhhx+OBQsWlCvX6tWr47bbbkuK77rrrjv8NR9yybXXXhuLFy9Oijdr1iztb8HOxjVBtu5RQlUyFtNnfU5tc99998XUqVOT4nXr1o1TTjkl7TzGNED1sH9CTbJy5co48sgjY+7cuUnHWrZsGRMmTIiOHTvukFqsoaDqGWfUJA0bNoyzzjorKf7666+nvMvH9iQSibjxxhtTHjvuuOO2e77xRU5IQA3w4IMPJiIi6d+DDz6Y0eu8+uqrKa+z3377JdavX592nmuvvTZlnnPOOafcNX300UeJOnXqJOVq3bp1YunSpWnnGTt2bMqaBg0aVO6aVq1alSgsLEzK1bhx48ScOXPSzvP6668n8vPzk/J07tw5sXXr1nLXBWWpzfNIuubPn5/ymmeddVbGr2UeIRfV5nnkggsuSJkrLy8v8dBDD5U7XyaYRwAgWWnvV4488sjEtm3b0s5z9tlnp8xz3XXXVWH1sOPNnz+/XGOjLA8//HDKcRMRiV//+tflypWNa4Js3KOk9qrN6/NsHIvW51RWVY/pRYsWJYqLizOSa8KECYl69eqlrPeHP/xhufMZ0wDVw/4JNcGaNWsSBx10UMrnYLNmzRLTp0/f4TVZQ0GyVM+b/v37VzifcUZN8umnn6ZcY3ft2rVcz+dEIpG44447Uj5/9tprr8TmzZvTymF8ke00hFAj7Kg/8CQSicSxxx6b8lonnXRSYtOmTds9//HHH085CTdu3Djx2WefVaimiy66KGVNBx98cGL16tXbPf/VV19NNGrUKOn8/Pz8xLvvvluhmn73u9+lrKljx46JxYsXb/f8mTNnJlq2bJkyx7hx4ypUE5Slts8j6diRDSGJhHmE3FNb55HLL788ZS0RkRgzZkxFf8SMMI8AQElbtmxJ9OjRI+Vr20UXXZTWhxpuvPHGlOe3adMmsXbt2h3wU8COc/HFFyf23XffxKOPPpr2H4W+bcuWLYkrrrgikZeXl3LstGrVKrFq1apy582mNcHXsnGPktqptq7Pv5aNY9H6nMqo6jF9yy23JNq1a5e48847y/2Bkm+67bbbEgUFBSlrbdSoUWL+/PkVymtMA+x49k/IdevXr0/0798/5XOwadOmiXfeeafaarOGgpJSPfcq0xCSSBhn1Cz/+7//m/K5c/jhhyeKiorSyjF27NiUz+mISNx///3lqsf4IpvlJRKJREAWGzt2bHz66adlPmbatGnxzDPPJMW///3vxwEHHFDmue3bt48zzzwz7Xrmz58f3/nOd2LNmjVJxw466KC4++67o2fPnknHVq5cGddcc03cdtttkWrY3XrrrXHxxRenXce3c/fo0SMWLVqUdKxTp05x9913x8CBA5OObdiwIW655Za4+uqrY/PmzUnHf/GLX8Qtt9xSoZo2b94cffr0iWnTpiUda9WqVdxxxx1x8sknR15eXoljW7ZsiT/+8Y9x2WWXRVFRUdK5J510Uvz1r3+tUE3UXuaR7XvjjTfijTfeKPMxq1atiptvvjkpfsABB8T3v//97V7jyiuvLFdN5hGyiXkktYceeih+/OMfpzzWrVu3+MEPfpB2ru057LDD4rDDDivXOeYRAEg2efLk+O53vxtbtmxJOnbUUUfFHXfcEZ06dUo69vnnn8fll18ef/rTn1Lm/etf/xonnXRSpsuFavWLX/wibrvttoiIaNGiRQwZMiROOeWU6Nu3b+y0005lnrtmzZp44okn4uabb44PP/ww5WPy8/Pj+eefj6OPPrrctWXLmuDbubNtj5Kax/p8+7JxLFqfU5psGNO33npr/PKXv4yIiJ122imOP/74GDp0aBx22GHRvHnzMs/dsGFD/O1vf4sbb7wx3nvvvVIfd88998R5551XZq7SGNMA1cP+CbnsRz/6UTz88MMpjx133HHRp0+fjF3rzDPPjPbt26f9eGsoKOnb75kjIvr37x+vvfZahXMaZ9Qk69evj549e8a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"text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -51,11 +149,9 @@ } ], "source": [ - "# Loading and visualizing the data\n", - "dust_df = pd.read_csv('./saharan_dust_met_vars.csv', index_col='time')\n", - "\n", - "plt.rcParams['figure.figsize'] = [20, 10]\n", - "dust_df.hist(bins=25);" + "plt.rcParams['figure.figsize'] = [22, 16]\n", + "dust_df.hist(bins=25);\n", + "plt.tight_layout()" ] }, { @@ -265,15 +361,77 @@ "\n", "dust_df['WIND_DIR'] = dust_df.apply(cat_wind_dir, axis=1)\n", "dust_df = dust_df.drop(columns=['U10','V10'])\n", - "\n", "dust_df.head()" ] }, { "cell_type": "markdown", - "id": "7b61744a-7e8d-4d0b-9249-4387f870e99d", + "id": "df61593f-fa97-4a6a-b252-d32abe993df0", + "metadata": {}, + "source": [ + "## NB: This dataframe of dust_df is saved on disk for future use." + ] + }, + { + "cell_type": "markdown", + "id": "114c49f1-a2af-41b4-8822-6b961dc5780f", + "metadata": {}, + "source": [ + "## Are there any outliers?\n", + "Some machine learning models do not perform well when there are outliers in the data. This section explores the data for any potential outliers. The boxplots show there are outliers in the data, hence we need to use a scaling method which is robust on outliers." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "3f2f841d-cc90-45a2-a3cc-0dcf87c86a9b", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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Dhw529e7YsaN+/PFH/ec//1H58uUtjv/+++/66quv7M4OAAAAAPgbA7cAAAAAAMBmy5cv1xNPPKGcnJy8QVpbXT94u3z5crVu3Vp79+51XdgSyMfHx2o9MDDQpvPXr19vUQsLC1ODBg3sztS3b1+LWkpKirZv327T+evWrbOoBQYGqnv37k7NZDKZrL5+AAAAAChJLly4oKNHj0r6e9i2Z8+eVm+GZIvKlStr48aNeuSRR/L6Scr7fL527Vr16dNHV69eddprKG2ys7M1a9Ysi3qlSpUUHR1dqF7NmjXTY489ZlE/cOCA1c/PAAAAAEqOjz/+2OyxyWRSpUqVFBMTY/Vmsvbo37+/YmJiVLFiRYu1rH1uAQAAAAAUHgO3AAAAAADAJmfOnNGYMWMkyWLQ1mQy3fTnerkX9R47dkz/+Mc/9OOPPxbZayju8tuhtUaNGgWee/LkScXHx1vUu3Xr5lCm/AZjY2JiCjw3MzPT6mBux44d5e3t7ZZMAAAAAFCcWbsx1QMPPOBQTy8vL3322WeaNGmS2Wf03M/nv/zyi3r16qXk5GSH1imt1q9fb/Xz+pgxY1SuXLlC9xs/frzV+qJFiwrdCwAAAEDxcO7cOf32229536Hm3vDo008/VYsWLZy6VosWLfTJJ5/kfb7LXXPHjh06d+6cU9cCAAAAgLKIgVsAAAAAAGCT5557TomJiVaHbXv16qWFCxfq2LFjSktL09WrV/X7779r5syZatu2rdWhW4PBoNTUVPXv319LliwpypdSbG3cuNFqvVOnTgWeu3v3bqv11q1bO5SpZcuW8vT0tKjv2bOnwHMPHjyojIwMp2eqXr26qlSpYlcmAAAAACjOLl26ZFGz5TOhLV599VWLHY9yh25/++03de/eXRcvXnTKWqXJ8uXLrdaHDh1qV7+wsDCrOxavWrVKmZmZdvUEAAAA4F67du3K+z40d9g2IiJCAwYMcMl6AwcOVI8ePSy+g925c6dL1gMAAACAsoSBWwAAAAAAUKA///xT33zzjdmwrclkUvny5bV69Wr99NNPGjJkiOrUqSM/Pz8FBASoWbNmeuqpp7R9+3atW7dOTZs2tTp4m5mZqaFDh2ru3LlF/bKKlZMnT+o///mPRb1Xr16qXLlygefv27fPar1p06YO5QoICFDt2rUt6vv373dbJklq0qSJRe3AgQPKyclxuDcAAAAAuEtiYqJFrWrVqk7rP3bsWC1cuNDsxkq5Q7d79+5Vt27d2BHpBuvXr7eohYWFqUGDBnb37Nu3r0UtJSVF27dvt7snAAAAAPc5fvy4Rc3em/TYylr/+Ph4l64JAAAAAGWBywZuPT09i+XPq6++6qqXDAAAAABAqTVnzhxlZWXlPTaZTAoMDNSmTZvUr1+/As/v0aOHdu/erejoaHl4mP9xhMFgUHZ2tsaMGaP33nvP6dlLgvT0dA0fPlxpaWlmdYPBoOjoaJt6HDt2zGq9fv36Duez1iM+Pr7A4daizpSRkaHTp0873BsAAAAA3OXq1asWtcDAQKeu8fDDD2vZsmXy8fHJq+XeYOvgwYPq0qWL/vzzT6euWVKdPHnS6gXr3bp1c6hv9+7drdZjYmIc6gsAAADAPax9lmvfvr1L1+zQoYNNOQAAAAAAheOygVuTyVRsfwAAAAAAQOGsWbMm73eTySSDwaAPP/xQd9xxh809vLy8NHnyZK1du1a33HKL2bHc3XQmTJigyZMnOyt2iXDw4EFFRETo559/tjg2fvx4denSxaY+J06csKh5eXnZtDtuQapVq2ZRy8zMLHC41VomSapevbpLMkncuRsAAABAyVauXDmL2sWLF52+zoABA7Rq1Sr5+/vn1XKHbuPi4tSlSxerOzSVNbt377Zab926tUN9W7ZsabbLcK49e/Y41BcAAACAe1z/2SpXjRo1XLqmte/b/Pz8XLomAAAAAJQFLhu4lf76Qq44/gAAAAAAANulpaVp3759Zp+pGzVqpBEjRtjVr3v37vrtt990++23m90YK3fo9vXXX9fzzz/vaOxiyWg06uLFi9q1a5fmzp2rPn36qHnz5tq+fbvFcx9//HFNmzbN5t7nz5+3qN16661O+bOQKlWq2LymLcedMQRsbyYAAAAAKM4qVKhgUTt37pxL1oqMjNQPP/xgNuSb+516fHy8unTposOHD7tk7ZJi3759VutNmzZ1qG9AQIBq165tUd+/f79DfQEAAAC4R6VKlSxqWVlZLl0zOzvbphwAAAAAgMJx6cCtJHaWBQAAAACghNu9e3feF7a5u9s++uijDvWsVauWfv31V0VGRub9mUFub5PJpHfffVdPPfWUw9nd5dChQ1ZvAubr66tbbrlF4eHhGjVqlH788UeLL8MrVqyo+fPn69NPPy3UsGxiYqJFLTg42OHXcrM+1tYs6Li/v798fHzclgkAAAAAijNrOyAdOXLEZet16dJFa9eutfiMZTAYdOrUKXXt2lWxsbEuW78wjh8/rvfff1/333+/mjZtqltvvVU+Pj6qWLGiGjRooA4dOmjkyJFatGiRTpw44ZQ1jx07ZrVev359h3tb6xEfH6+cnByHewMAAAAoWo0bN7aonTp1yqVrWuvfpEkTl64JAAAAAGWBV1EuxtAtAAAAAAAlz9mzZy1qXbt2dbhvYGCgvvvuOw0dOlRLly7NG7bN/evs2bOVlpamzz77zCm7tBZ34eHheuihhzRq1Ciz3YVslZKSYlGzp4815cuXt3nN4p7Jmht3Jsrv4uatW7cqNDS00P0B4Hq5O9TFxcVp48aNbk5jv9TUVEkq0a8hPT1dkrRz506lpaW5OQ2A0oCbv8AZrO2cGhMTo6ioKJet2a5dO23YsEG9e/fWpUuX8uoGg0Hnz59X9+7d9eOPP7psfVstXLhQCxcutKgnJiYqMTFRcXFx2r59uz777DNJf/3ZxcSJE9WnTx+717Q2uOvl5aXKlSvb3TNXtWrVLGqZmZk6ffq01cFrAAAAAMVX8+bNFRISoqSkpLzapk2brA7iOsvPP/9s9rhChQpq0aKFy9YDAAAAgLLC5QO3118s26BBA1WpUsXVS97UiRMnFB8f79YMAAAAAACUJJcvX7ao1alTxym9vby8tHjxYgUHB+ft6Hr90O2CBQuUnp6uL7/8Up6enk5Zszjy9vZWaGiofHx87N7Jxmg0WtScsZOs9Fc+azIyMkpcJgAAAAAozipWrKjKlSvr/PnzeZ+NN23a5PJ1W7ZsqZ9//lm9evXKu0GI9Nf3/ZcuXVLPnj3VpUsXl+dwppiYGMXExCg8PFxff/21XbvSnj9/3qJ26623OuXGYPldO3H+/HkGbgEAAIASxtPTUwMGDNDnn39u9j3nE0884bI1FyxYIEl5360OHDhQHh4eLlsPAAAAAMoKlw3c1q9fX0ePHjWrRUVFafLkya5a0iZTpkzRK6+84tYMAAAAAACUJNffiTlXSEiI0/obDAbNmTNH5cuX17vvvmsxdLts2TJdu3ZNy5Yty3fIsqTLzMzU2rVrtXbtWkVHR2v8+PF68cUX5eVl+x/dZGZmWtQKc/7N5Pe+W1uzuGey5sCBA2aPz5w5o/DwcIvnderUSVWrVi10fwC43rx58yRJYWFhioiIcHMa++XubFuSX4O/v7+kv3aZb9++vZvTACgNzpw54+4IKCXatWun1atX5w11/vHHH4qPj3faza/y07RpU23atEk9evTQ6dOn8+oGg0HJycn67rvvXLq+q+zcuVOtWrXSvHnz9MADDxTqXGs7VwcHBzslV3592C0bAAAAKJn++c9/auHChXk3192xY4fmzZunkSNHOn2tuXPn6rfffsv7PtXT01Pjx493+joAAAAAUBa5bOC2TZs2+t///md2Z9edO3e6ajkAAAAAAOAivr6+FrWkpCRVrFjRqeu88847KleunF5//fW8P0/I/ZJ49erV6t+/v/7zn/9YzVPc3HLLLXrjjTcs6levXlVSUpKOHTumHTt2WB1mTk5O1quvvqrvvvtO3377rW699Vab1vTw8FB2drZZzd7dcm+UX5+C7pJt7bi7MwEAAABAcdejRw+tXr3arLZ48WK99NJLLl+7QYMG+uWXX9SjRw+dOHEir577+dydKlWqpNtvv13169dXcHCwypUrpytXrujSpUvav3+/fv/993w/K6akpGjQoEFKTk7W448/bvOaKSkpFrVy5crZ/RquV758eZvXvJmmTZuaPc7vPdi6datCQ0ML1RsAyrrcm00BQFnBzV8c07hxYz377LOaPn163meo5557TvXq1VP37t2dts7PP/+s5557zuwmxs8++6waN27stDUAAAAAoCxz6cDt119/LenvL98YuIU94uLiFBsbq9OnT+vq1avy9fVVaGioGjVqpObNm8vPz6/IMyUkJGjfvn1KSEhQSkqKvL29VaFCBTVo0EB33HGH075kLYyzZ8/q999/1/Hjx5WSkiKDwaDg4GDVr19fLVq04MtTAAAAAHarUKGCRe38+fNOH7iVpNdee02BgYF6/vnnLYZuf/rpJ91111369ttvFRAQ4PS1nalixYqKjo6+6XNMJpN+/vlnzZo1S//5z38sjv/222/q0aOHYmJibPpM5+Pjo/T0dLNaVlZW4YLnI78+Pj4+BWaytVdRZQIAAACA4q5Hjx55v+d+Jv7000/14osvmt3w2lVuu+02bd68WT169NCRI0csPp8XpS5dumjgwIHq27evwsLCbvrcK1euaPHixZo+fbqOHj1q9TlPPPGE6tevb/PF7kaj0aLmrM+d3t7eVusZGRlO6Q8AAACg6E2dOlW///671q1bJ4PBoKtXr+quu+7SjBkzNHr0aIc/082ePVvPPfec2WeVyMhITZ061dHoAAAAAID/z6UDtze6dOmSTpw4odq1a7tqWRRg0aJFZncidpYKFSroqaeeclq/hIQEzZo1S0uXLlVCQkK+zwsICFBkZKTGjh2rXr16OW19ay5cuKA5c+boq6++0uHDh/N9no+Pj7p27arRo0drwIAB8vT0dFmmlJQUzZ8/X1988YX27t2b7/M8PDzUoUMHPfbYYxo8eHCJ2A0KAAAAQPFhbYfVhIQEl90l+Z///KcCAgL09NNP59VyL+rdtGmTIiMj9cMPPygoKMgl6xcVg8GgiIgIRURE6Pvvv9fw4cN16dIls+fExsZq9OjR+ve//11gPz8/P4uB2xsf2ystLc1q3d/fv8BMN3J3JgAAAAAo7po0aaLatWubfU968uRJLV++XFFRUUWSoXr16vrll1/Uq1cv7d+/v8iHbYcOHao5c+aoUaNGNp8TFBSkMWPGaOTIkXrppZc0ffp0i8zZ2dkaPny4/vjjDwUGBhbYMzMz06Lm5eWcyyzyG7i1tubNHDhwwOzxmTNnFB4ebvG8Tp06qWrVqoXqDQBlXUREhLsjAECROnPmjLsjlHheXl5atWqVhg4dqm+++UYGg0EZGRl68sknNWfOHEVHR6tfv36F2mgmIyNDq1ev1tSpU7Vv3z6zzzn333+/Fi5c6NLrVAEAAACgrHHZwG3Lli3l6empnJwcs/qOHTsYuHWjzz77TDExMU7vW7t2bacM3BqNRr3xxhuaNm2a1bsF3ygtLU0rV67UypUrFRERoU8//VT16tVzOMf1TCaTZs6cqVdeeUUpKSkFPt9oNGrdunVat26dWrVqpblz56pVq1ZOzSRJixcv1rPPPqvz588X+NycnBxt3bpVW7du1ZQpUzRnzhz17NnT6ZkAAAAAlE5NmjSxqG3evFm9e/d22Zpjx46Vn5+fRo0alfelce7Fvdu2bVPPnj31008/uWz9ota3b1+tW7dO3bt3V3Jystmx5cuXa82aNerTp89Ne4SEhOjy5ctmtStXrjglX36fh0NCQgrMZGuvosoEAAAAACXBAw88oHfeeUcGgyFvB6QpU6YU2cCt9NcNuGJiYhQZGamdO3cWye66uR577DG7z/Xy8tK0adPUuHFjPfrooxbHT548qRkzZig6OrrAXh4eHsrOzjar3XgNhL3y6+Ph4eGU/gAAAACKXu6Nk6ZPn64GDRronXfeUXZ2tkwmk/bt26dBgwapXLly6tmzp+644w41a9ZMlStXVlBQkAICApSWlqYrV67o/Pnz2rdvn/bu3av169fr6tWrZoO23t7emjBhgh5//HGbriHNT61atRx+zQAAAABQ2rhs4DYgIEBNmjTJu9ttrh07duj+++931bIowS5evKgBAwZo69atdp2/ceNGhYeHa9myZU7b7TY9PV2DBw/WypUr7Tp/9+7d6tixo+bOnauhQ4c6JVNOTo6efvppffzxx3adf/ToUfXu3VtTp07VxIkTnZIJAAAAQOlWq1YtlS9fXlevXs2rbdq0yeXrPvroo/L399fw4cPzLm7NHbrdtWuXunXrpm7durk8R1Fp2bKlpk2bptGjR1sce/fddwscuK1YsaKOHTtmVrtxx1x7Xbx40Wo9NDS0wEw3ys7OVlJSkipUqOCWTAAAAABQEgwaNEjvvPOO2QXV+/fv11dffaWHH364yHJUqFBBGzduVL9+/fTLL78U2brO8Mgjj+jIkSN6++23LY7NnDlTEydOzHeX2Vw+Pj5KT083q2VlZTklX359fHx8nNIfAAAAQNGrU6eO1ZsV5X7HaTKZlJKSkrfRjC2u/1yY2zsrK0tvvfWW3nrrLbuzGgwGp32+AQAAAIDSxGUDt5LUpk0b7d+/36y2c+dOVy6JEiopKUm9evXS3r17He5z99136/vvv1ePHj0c6mU0GjVw4ECHd0zKyMjQ8OHDJckpQ7cjR47U559/7lCPnJwcvfDCC8rKytLLL7/scCYAAAAApV/Lli31yy+/5H0ZvHPnTiUnJys4ONil6z700EPy9fXV4MGDlZmZKenvL6T379+v2NhYl65f1EaOHKm3335bx48fN6tv3LixwCHV6tWra8eOHWa15ORkpaeny9/f36FcZ8+etVqvUaPGTc+rXr16vv0cHbi1NxMAAAAAlAStWrXSu+++K6PRaFZ3x+6n5cqV048//qgxY8boxIkTRb6+I1599VUtWrRIp06dMqtfuHBBGzZs0J133nnT8/38/CwGbm98bK+0tDSrdUc/wwMAAABwr+sHZK93/SBufs9x5nkAAAAAAPu49Nu4Nm3a5P1+/Q40wI2GDRuW77Bt7969tXz5cp06dUpGo1FJSUnaunWrnnvuOQUGBlo8PyMjQ1FRUQ5/2Tt+/Ph8h23bt2+vhQsXKj4+XkajUSkpKdq1a5dee+01qzvpmEwmjRw50uGB83fffTffYdsmTZpozpw5iouL07Vr15SamqrY2FhNnz5dNWvWtHpOdHS0Vq1a5VAmAAAAAGVDRESE2ePMzEx98803RbL2vffeqxUrVsjX1zevlvvFcmn7UtnDw0P33HOPRd1kMunXX3+96bl16tSxWo+Pj3c4l7UeFStWVPny5e3KdONAsbMy3WxNAAAAAChpnn32WU2cONHs56GHHnJLFj8/P33xxRf6+eefzX6KO39/fz377LNWj61fv77A80NCQixqV65ccTiXJKWkpNi8JgAAAICSw2AwmP3kyt3h1tpzbvZz47mFPT+/ngAAAAAA64ps4DZXSkqKDh8+7MplbVLaLsh1xGuvvZb3YdzeH0cu3p07d66+/fZbi3pAQICWLVumH3/8Uffdd5+qVasmb29vBQcHq2PHjnr33Xd18OBBtW7d2uLcy5cv5+0qa49169Zp1qxZFnVPT0/NnDlT27Zt09ChQ1W7dm15e3urXLlyatWqlSZNmqS4uDj17t3b4lyj0ajBgwdb3IXaVgcPHtSLL75o9dgLL7ygffv2afTo0apfv758fX0VEBCgpk2bavz48Tp8+LCGDRtm9dxHH31Uly5dsisTAAAAgLKjR48eZo9NJpM++eSTIlv/rrvu0nfffaeAgIC8Wmn9Qrhly5ZW6wkJCTc9r2HDhlbrR44ccThTXFycRa1BgwYFnlfUmapWrVrgEDAAAAAAoGzp27ev1botN0uuWLGiRc1Z361evHjRat3aDZ4BAAAAlFzOGHZlYBYAAAAAio5LB26bNWumSpUqKSgoSEFBQQoODlZQUJBiY2NduexNPf300zp+/Hjez7Fjx9yWBVJycrJeeukli7qHh4dWrFihqKiom55fq1YtbdiwQU2bNrU4FhMTo6VLlxY6U3Z2tp555hmrx2bPnq2nn376pueHhoZq9erV6t69u8WxuLg4zZgxo9CZJGncuHHKzMy0qL/88st666235Onpme+5/v7++uKLLzRkyBCLY4mJiYqOjrYrEwAAAICyo127dgoODpb09+6yO3fu1H//+98iyxAREaGffvpJQUFBebXSeEOtypUrW60nJibe9Lz8BnX37t3rUJ74+HglJSXZvF5RZDIajTp48KBdmQAAAAAAZUujRo2sDrHacq1A9erVLWrJyclKT093ONfZs2et1mvUqOFwbwAAAADu4+gGOEXxAwAAAADIn5crm3t7e+v8+fOuXKLQcod/UTx89NFHVu/cO2HCBKu7xFoTHBysr7/+Wq1atVJWVpbZsTfeeEMPPPBAoe7otXTpUh06dMiiPmjQID3++OM29fDx8dHixYvVqFEjJScnmx2bPn26nn76abNdmQqybds2rV+/3qLesWNHTZ482aYeBoNBn3zyibZu3arjx4+bHZs/f76io6OtfmEMAAAAAJLk5eWlAQMGaMGCBWZ3Tn7zzTf17bffFlmOjh07asOGDerdu7cSExNlMBhK3ZfC165ds1r38rr5H+O0aNFCvr6+ysjIMKtv377doTzbtm2zWm/btm2B51auXFm1atWy2J3X0Uy7du2S0Wi0KxMAAAAAoOypXLmyxY2sbNmptk6dOlbr8fHxaty4sUOZ4uPjLWoVK1ZU+fLlHeoLACWdyWRSWlqau2NIklJTUx3uERAQwE6EAFCG3HhtJgAAAACg5HHpwC1wM9nZ2Zo1a5ZFvVKlSoXecbVZs2Z67LHH9Mknn5jVDxw4oHXr1ikyMtLmXu+//75FzdvbW++8806hMlWpUkUvvPCCXnzxRbP6xYsX9eWXX2rUqFE298pvV9z33ntPHh62b1QdEBCgqVOn6qGHHjKrG41GffTRR5o6darNvQAAAACUPYMGDdKCBQsk/b2z7A8//KDt27erffv2RZajVatW2rRpkyIjI3X27NlSd7HSuXPnrNat7cZzPT8/P3Xo0EGbNm0yq2/evFkZGRny9fW1K8+6deus1nv06GHT+REREfriiy/MaocOHdLJkydVs2ZNp2bq2bOnXf0AAAAAAKVbSEiIRS2/G15dr2HDhlbrR44ccXjgNi4uzqLWoEEDh3oCQGmQlpamcuXKuTuGJDklx9WrVxUYGOiENACAkqB27drujgAAAAAAcJDtk3qAk61fv15nzpyxqI8ZM8auP7AeP3681fqiRYts7nH48GHt2LHDoj5o0CC7LgJ+4oknrO5kW5hMycnJVneL6ty5s9q1a1foTFFRUapVq5ZF/csvvyx1u0IBAAAAcK6ePXuqX79+ioyMVO/evdW7d29FRkbmO/zoSk2bNtUvv/yimjVrymQylarPM1u2bLFaDwsLK/Dcu+66y6KWmpqqH374wa4smZmZWrVqlUW9efPmqlGjhk09rGWSpOXLl9uVKb9zQ0ND7fqcDAAAAAAo/S5fvmxR8/f3L/C8li1bWq3v3bvXoTzx8fFKSkqyeT0AAAAAAAAAAAAUDXa4hdvkd2Ht0KFD7eoXFham9u3ba/v27Wb1VatWKTMzU97e3kWeKTg4WPfcc4+WLFliVt+6davOnDmjqlWrFtjju+++s3p3ZXszeXp6avDgwXr77bfN6idPntR///vfIt2VCgAAAEDJ4uXlpdWrV7s7Rp569eopPj7e3TGcKi0tzepwrJeXl1q3bl3g+Q8++KAmTpxoMYA8Z84cDRw4sNB5li1bpsTERIv64MGDbe7Rr18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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "feature_names = dust_df.columns\n", + "\n", + "fig, ax = plt.subplots(3,4, figsize=(26,12))\n", + "ax = ax.flatten()\n", + "for ind, col in enumerate(feature_names):\n", + " ax[ind].boxplot(dust_df[col].dropna(axis=0), \n", + " notch=True, whis=1.5, \n", + " showmeans=True)\n", + " ax[ind].grid(which='minor', axis='both')\n", + " ax[ind].set_xticklabels([''])\n", + " ax[ind].set_ylabel(col)\n", + " #ax[ind].set_title(col)\n", + " ax[ind].set_facecolor('white')\n", + " ax[ind].spines['bottom'].set_color('0.1')\n", + " ax[ind].spines['top'].set_color('0.1')\n", + " ax[ind].spines['right'].set_color('0.1')\n", + " ax[ind].spines['left'].set_color('0.1')\n", + " ax[ind].grid(True)\n", + " ax[10].set_axis_off()\n", + " ax[11].set_axis_off()\n", + "fig.tight_layout()\n", + "#plt.savefig('box_plots.png')" + ] + }, + { + "cell_type": "markdown", + "id": "31c6dedb-b271-4f1a-bf82-7f2f95f879a2", "metadata": {}, "source": [ + "## Scaling the variables\n", + "\n", + "As you can see, there is a large range of values among variables. SOM and PCA are scale variant, so to not influence the results as it is the case in many unsupervised machine learning models, it is important to scale them. Many scaling methods exist, but we will use the robust scaling method since this takes care of outliers.\n", + "\n", "This concludes the primary exploration of our data. We now do a deeper dive into our exploration by using statistical analysis through Principal Component Analysis." ] } diff --git a/feature_patterns.png b/feature_patterns.png index 58b825670c90f232474e7f21b4b664c8a764242a..1ab00f25f32ba60cae24de727f87b43c8b395dc2 100644 GIT binary patch literal 119604 zcmdqJhg;Lz)-4S7vaxInDgs-vOHt`aIf{acD4-%86_pwg>7j&eZ-7`p1qA866FS%s z73n2HC@NATASLu9cP!6+-}`+3!sqjNwg+R9-&%9cIp!E+uDd!XGzFGySi;B0Cvf!0 zAw536#mD&g<|iy#fS<&;6wvS=Md!l?&ZitMJG-5~dWlc_yz>=12WLC$3;(!Yy6R-@ zU@tAHASomMkCn6Y6(=PrDa!x8K+@r=rIhGaF&Dha;wwiCo%r|!|0cirEyL^d`1tww zjvhL2+CB7Fo72+dLHH8?@7F)K%AVW*zyC}ABqP5h=Ku4P_sai2`$5Fb9pd5*+rzygx4(2h z=+@>EEaLu+zj$_}VtTk-R9jwvZ^a=OmmK{RqnO-ws@6&6;TwY`GxjQDHR>-EonpHy zL*nY{^y;irM8{ceZSAlMXI7K;so3MSXU>|&L`O%be^|&TQ#H{+OT%w-r=F@t`3|qB z&!0b2gZ%;m7~gM;rtVHF(zE#RAdsp3Vi_ObHL(taPi=I}7<(?CubMpd5TDHR@=jeJ zpOTT$Q8p{Bv_Gp_wLZ+PJ%P)aVGR}zHO1>jZ73cPH22bVYjxC&VmR1bn#D7*f4^JK zDjX`QuZz(-V`9=8J#h1Frg+=c3W)+%YT-{dRmjA(K34mMl1t)C&q2k?=hB)pL#4DE 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