{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# UBC ECON 323 Project \n",
    "# Zihao Wang\n",
    "## U.S.-China Trade War Analysis \n",
    "### Data Visualization & Prediction based on Political Variable Score\n",
    "### Gravity Model, Machine Learning, Lasso, Ridge, Neural Networks\n",
    "###  ***This project is a purely experiment, it does not have any intention to express any of my political idea or bias, nor create any of the reader's political interest"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Given the time constraint, I was not able to get the precise Tariff Data. It was extremely exhausting to download the country-paired tariff data in a time-series manner, and it was even harder to merge in a short period of time. I then took a detour to examine and predictions based on some political indicators that may bring some new interests. The content can be more fruitful if I make the gravity model computable, such as CES, or other functions with homothetic features that can predict the trade flow by each commodity. I'll continue to enhance the flavor/richness of this project in the very near future."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Abstract "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This project includes several visualizations on international trade flow, U.S. and China partner trade share in aggregated and disaggregated level by commodity code and state. Three detailed the tariff war timelines are also presented. Some simple regression and machine learning method are applied to answer the question how will he bilateral trade flow change if the country was assigned some different political scores. The dataset is extracted mainly from CEPII database and the USITC dynamic gravity model database. The merged data frame contains 194884 pairs of trade flows from 2005 to 2013. A precise U.S.-China bilateral trade flow and tariff data from 1992 to 2013 was also examined.\n",
    "\n",
    "For the simple tariff analysis, the prediction is based on the current aggregate tariff level 21% for both countries, for which scenario, China's export decreased more than the U.S.'s, a valid reason from the given data is that China has never been levied high tariff by the U.S. for the past decade. Though, Similarly, for policy variables, China's export is also hurt more compared to the U.S. if higher hostility scores and trade sanction being assigned. By the end, I also present the USITC GME package designed for international trade analysis which I discovered by the end of finishing this project.\n",
    "\n",
    "The detailed summary table is presented in the Conclusion Section."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Content\n",
    "###  1. U.S. and China Top Trade Partners by Pie Chart  \n",
    "###  2.The Relative Trade Deficit Position, 45 Degree Line Plot\n",
    "###  3.Trade War in Detail\n",
    "    \n",
    "    3.1 5-digit End Use Code Goods Trade Value during the Trade War\n",
    "    3.2 Timeline and Lag\n",
    "    3.3 Visuliaztion on Tariff Trend and Adjustment Lag\n",
    "### 4. Exports to China from the U.S. by States\n",
    "    4.1 Exports Value by States in 2018\n",
    "    4.2 Goods Exports (non-service) Relative Change in 2019 by State\n",
    "### 5.  Global Trade Network Visulization\n",
    "### 6. Small Dataset with Precise Aggregate Tariff Data\n",
    "    6.1 Data Cleaning\n",
    "    6.2 Small Dataset Regression \n",
    "### 7. Large Dataset Gravity, Lasso, Neural Networks and Classification\n",
    "    7.1 Cleaning Data\n",
    "    7.2 Gravity Model Linear regression\n",
    "    7.3 Variance Inflation Factor (VIF)\n",
    "    7.4 Ridge Model\n",
    "    7.5 Lasso Regression\n",
    "            Lasso Path\n",
    "    7.7 Gravity Linear V.S. Regularization (Ridge V.S. Lasso)\n",
    "    7.8 Test and Train\n",
    "    7.9 Neural Networks\n",
    "            Visualization\n",
    "            Data vs Test_n_Train vs Neural Networks vs Gravity Multilinear vs Lasso vs Simple Linear\n",
    "    7.10 Political Score\n",
    "    7.11 Hostility Level\n",
    "    7.12 Classfication\n",
    "### 8. Model Estimation by USITC GME Package\n",
    "### 9. Prediction Summary\n",
    "### 10. Conclusion\n",
    "### 11. Reference\n",
    "\n",
    "# Figure\n",
    "#### matplotlib and Bokeh Pie Charts,\n",
    "#### 5-Digit End Use line Plot\n",
    "#### Trade Balance Position Plot\n",
    "#### Bokeh U.S. Exports Heat Map\n",
    "#### Networkx Trade Network Plot\n",
    "#### Trade War Timeline and Tariff line Plots\n",
    "#### Model Selection Contractions Plots\n",
    "#### Classification Plots\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Install some pip. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Uncomment following line to install on colab.\n",
    "#! pip install qeds fiona geopandas xgboost gensim folium pyLDAvis descartes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# uncomment to install jupyterlab-manager. \n",
    "#!jupyter labextension install @jupyter-widgets/jupyterlab-manager"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 483,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Building jupyterlab assets (build:prod:minimize)\n"
     ]
    }
   ],
   "source": [
    "#install  jupyter_bokeh extension\n",
    "#!jupyter labextension install @bokeh/jupyter_bokeh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting gme\n",
      "  Downloading gme-1.2.tar.gz (21 kB)\n",
      "Requirement already satisfied: pandas in ./opt/anaconda3/lib/python3.7/site-packages (from gme) (1.0.1)\n",
      "Requirement already satisfied: statsmodels in ./opt/anaconda3/lib/python3.7/site-packages (from gme) (0.11.0)\n",
      "Requirement already satisfied: scipy in ./opt/anaconda3/lib/python3.7/site-packages (from gme) (1.4.1)\n",
      "Requirement already satisfied: patsy in ./opt/anaconda3/lib/python3.7/site-packages (from gme) (0.5.1)\n",
      "Requirement already satisfied: python-dateutil>=2.6.1 in ./opt/anaconda3/lib/python3.7/site-packages (from pandas->gme) (2.8.1)\n",
      "Requirement already satisfied: pytz>=2017.2 in ./opt/anaconda3/lib/python3.7/site-packages (from pandas->gme) (2019.3)\n",
      "Requirement already satisfied: numpy>=1.13.3 in ./opt/anaconda3/lib/python3.7/site-packages (from pandas->gme) (1.18.1)\n",
      "Requirement already satisfied: six in ./opt/anaconda3/lib/python3.7/site-packages (from patsy->gme) (1.14.0)\n",
      "Building wheels for collected packages: gme\n",
      "  Building wheel for gme (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25h  Created wheel for gme: filename=gme-1.2-py3-none-any.whl size=27290 sha256=7a1c230c9ee1836a9d82824b93cba8d57d4d32fe19ec4275c97a47a529ce4ca9\n",
      "  Stored in directory: /Users/zihao/Library/Caches/pip/wheels/2e/dd/b4/f7f3d707ebd7a89d1c4a15751c0878251365296ceadbe5952b\n",
      "Successfully built gme\n",
      "Installing collected packages: gme\n",
      "Successfully installed gme-1.2\n"
     ]
    }
   ],
   "source": [
    "#!pip install gme"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 404,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Requirement already satisfied: geopandas in ./opt/anaconda3/lib/python3.7/site-packages (0.7.0)',\n",
       " 'Requirement already satisfied: pyproj>=2.2.0 in ./opt/anaconda3/lib/python3.7/site-packages (from geopandas) (2.6.0)',\n",
       " 'Requirement already satisfied: shapely in ./opt/anaconda3/lib/python3.7/site-packages (from geopandas) (1.7.0)',\n",
       " 'Requirement already satisfied: fiona in ./opt/anaconda3/lib/python3.7/site-packages (from geopandas) (1.8.13.post1)',\n",
       " 'Requirement already satisfied: pandas>=0.23.0 in ./opt/anaconda3/lib/python3.7/site-packages (from geopandas) (1.0.1)',\n",
       " 'Requirement already satisfied: click-plugins>=1.0 in ./opt/anaconda3/lib/python3.7/site-packages (from fiona->geopandas) (1.1.1)',\n",
       " 'Requirement already satisfied: cligj>=0.5 in ./opt/anaconda3/lib/python3.7/site-packages (from fiona->geopandas) (0.5.0)',\n",
       " 'Requirement already satisfied: click<8,>=4.0 in ./opt/anaconda3/lib/python3.7/site-packages (from fiona->geopandas) (7.0)',\n",
       " 'Requirement already satisfied: munch in ./opt/anaconda3/lib/python3.7/site-packages (from fiona->geopandas) (2.5.0)',\n",
       " 'Requirement already satisfied: attrs>=17 in ./opt/anaconda3/lib/python3.7/site-packages (from fiona->geopandas) (19.3.0)',\n",
       " 'Requirement already satisfied: six>=1.7 in ./opt/anaconda3/lib/python3.7/site-packages (from fiona->geopandas) (1.14.0)',\n",
       " 'Requirement already satisfied: python-dateutil>=2.6.1 in ./opt/anaconda3/lib/python3.7/site-packages (from pandas>=0.23.0->geopandas) (2.8.1)',\n",
       " 'Requirement already satisfied: numpy>=1.13.3 in ./opt/anaconda3/lib/python3.7/site-packages (from pandas>=0.23.0->geopandas) (1.18.1)',\n",
       " 'Requirement already satisfied: pytz>=2017.2 in ./opt/anaconda3/lib/python3.7/site-packages (from pandas>=0.23.0->geopandas) (2019.3)']"
      ]
     },
     "execution_count": 404,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#!pip install geopandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 481,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn import (\n",
    "    linear_model, metrics, neural_network, pipeline, model_selection\n",
    ")\n",
    "from sklearn.metrics import mean_squared_error, r2_score\n",
    "import gme as gme\n",
    "import qeds\n",
    "qeds.themes.mpl_style();\n",
    "plotly_template = qeds.themes.plotly_template()\n",
    "colors = qeds.themes.COLOR_CYCLE\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "%matplotlib inline\n",
    "# activate plot theme\n",
    "\n",
    "import yaml\n",
    "\n",
    "from bokeh.layouts import column\n",
    "from bokeh.models import ColumnDataSource, Slider\n",
    "from bokeh.plotting import figure\n",
    "from bokeh.themes import Theme\n",
    "from bokeh.io import show, output_notebook\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Imports many datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 356,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_excel (r'/Users/zihao/Desktop/UBC/Econ 323/Project/TRADHIST_BITRADE_BITARIFF_3.xlsx')\n",
    "df_2018_exports = pd.read_excel(r'/Users/zihao/Desktop/UBC/Econ 323/Project/2018_exports_all.xlsx')\n",
    "df_2018_imports = pd.read_excel(r'/Users/zihao/Desktop/UBC/Econ 323/Project/2018_imports_all.xlsx')\n",
    "df_tariff = pd.read_excel(r'/Users/zihao/Desktop/UBC/Econ 323/Project/U.S. China Average Tariff Change.xlsx')\n",
    "df_us_partner = pd.read_excel(r'/Users/zihao/Desktop/UBC/Econ 323/Project/U.S. Trade Partner 2018.xlsx')\n",
    "df_china_partner = pd.read_excel(r'/Users/zihao/Desktop/UBC/Econ 323/Project/China Trade Partner 2018.xlsx')\n",
    "df_us_tariff_time = pd.read_excel(r'/Users/zihao/Desktop/UBC/Econ 323/Project/U.S. tariff on China.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 357,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_us_tariff_time = pd.read_excel(r'/Users/zihao/Desktop/UBC/Econ 323/Project/U.S. tariff on China.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 358,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_china_tariff_time =  pd.read_excel(r'/Users/zihao/Desktop/UBC/Econ 323/Project/China tariif on U.S.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 359,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_gravity_model = pd.read_csv(r'/Users/zihao/Desktop/UBC/Econ 323/Project/gravity dataset/DATASET/2004-2016 gravity.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 360,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_gravity_model2 = pd.read_stata(r'/Users/zihao/Desktop/UBC/Econ 323/Project/gravity dataset/DATASET/gravdata_cepii/gravdata.dta')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "background_1 = tuple(np.array([253, 238, 222]) / 255)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's firstly look at the bilateral trade data of the United States"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Reporter Name</th>\n",
       "      <th>Partner Name</th>\n",
       "      <th>Export Share in Total Products (%)</th>\n",
       "      <th>Import Share in Total Products (%)</th>\n",
       "      <th>Trade Balance (US$ Thousand)</th>\n",
       "      <th>Export (US$ Thousand)</th>\n",
       "      <th>Import (US$ Thousand)</th>\n",
       "      <th>Import Partner Share (%)</th>\n",
       "      <th>Export Partner Share (%)</th>\n",
       "      <th>AHS Simple Average (%)</th>\n",
       "      <th>...</th>\n",
       "      <th>MFN Dutiable Tariff Lines Share (%)</th>\n",
       "      <th>MFN Duty Free Tariff Lines Share (%)</th>\n",
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       "      <th>MFN AVE Tariff Lines Share (%)</th>\n",
       "      <th>MFN MaxRate (%)</th>\n",
       "      <th>MFN MinRate (%)</th>\n",
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       "      <th>MFN Dutiable Imports (US$ Thousand)</th>\n",
       "      <th>MFN Duty Free Imports (US$ Thousand)</th>\n",
       "      <th>No Of Tariff Agreement</th>\n",
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       "      <td>1.41</td>\n",
       "      <td>570308.23</td>\n",
       "      <td>601974.40</td>\n",
       "      <td>31666.17</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.74</td>\n",
       "      <td>...</td>\n",
       "      <td>51.22</td>\n",
       "      <td>46.34</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.44</td>\n",
       "      <td>90.03</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5422.55</td>\n",
       "      <td>4333.60</td>\n",
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       "      <th>1</th>\n",
       "      <td>United States</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>24.22</td>\n",
       "      <td>2.91</td>\n",
       "      <td>1197093.01</td>\n",
       "      <td>1226885.15</td>\n",
       "      <td>29792.15</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.07</td>\n",
       "      <td>1.47</td>\n",
       "      <td>...</td>\n",
       "      <td>56.18</td>\n",
       "      <td>30.19</td>\n",
       "      <td>0.21</td>\n",
       "      <td>13.42</td>\n",
       "      <td>76.52</td>\n",
       "      <td>0</td>\n",
       "      <td>1.06</td>\n",
       "      <td>16866.93</td>\n",
       "      <td>10514.38</td>\n",
       "      <td>2.0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>United States</td>\n",
       "      <td>Angola</td>\n",
       "      <td>18.71</td>\n",
       "      <td>0.40</td>\n",
       "      <td>-2243739.33</td>\n",
       "      <td>525185.65</td>\n",
       "      <td>2768924.98</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.03</td>\n",
       "      <td>1.03</td>\n",
       "      <td>...</td>\n",
       "      <td>37.84</td>\n",
       "      <td>56.76</td>\n",
       "      <td>5.41</td>\n",
       "      <td>0.00</td>\n",
       "      <td>16.50</td>\n",
       "      <td>0</td>\n",
       "      <td>2487662.61</td>\n",
       "      <td>2553366.97</td>\n",
       "      <td>210040.74</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>United States</td>\n",
       "      <td>Anguila</td>\n",
       "      <td>19.99</td>\n",
       "      <td>0.62</td>\n",
       "      <td>110551.09</td>\n",
       "      <td>115705.45</td>\n",
       "      <td>5154.36</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.73</td>\n",
       "      <td>...</td>\n",
       "      <td>42.65</td>\n",
       "      <td>54.41</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.94</td>\n",
       "      <td>16.50</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2396.21</td>\n",
       "      <td>2567.91</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>United States</td>\n",
       "      <td>Albania</td>\n",
       "      <td>6.71</td>\n",
       "      <td>5.19</td>\n",
       "      <td>-11206.99</td>\n",
       "      <td>59200.12</td>\n",
       "      <td>70407.11</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>6.75</td>\n",
       "      <td>...</td>\n",
       "      <td>65.92</td>\n",
       "      <td>24.97</td>\n",
       "      <td>0.12</td>\n",
       "      <td>8.99</td>\n",
       "      <td>350.00</td>\n",
       "      <td>0</td>\n",
       "      <td>38.91</td>\n",
       "      <td>65995.63</td>\n",
       "      <td>2639.05</td>\n",
       "      <td>1.0</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>United States</td>\n",
       "      <td>Yemen</td>\n",
       "      <td>4.39</td>\n",
       "      <td>0.79</td>\n",
       "      <td>189077.98</td>\n",
       "      <td>191307.70</td>\n",
       "      <td>2229.72</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>3.11</td>\n",
       "      <td>...</td>\n",
       "      <td>61.81</td>\n",
       "      <td>20.83</td>\n",
       "      <td>0.00</td>\n",
       "      <td>17.36</td>\n",
       "      <td>37.11</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>341.11</td>\n",
       "      <td>1852.67</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>United States</td>\n",
       "      <td>South Africa</td>\n",
       "      <td>56.83</td>\n",
       "      <td>31.65</td>\n",
       "      <td>-3132357.73</td>\n",
       "      <td>5517377.25</td>\n",
       "      <td>8649734.98</td>\n",
       "      <td>0.33</td>\n",
       "      <td>0.33</td>\n",
       "      <td>0.63</td>\n",
       "      <td>...</td>\n",
       "      <td>54.17</td>\n",
       "      <td>37.57</td>\n",
       "      <td>1.47</td>\n",
       "      <td>6.79</td>\n",
       "      <td>350.00</td>\n",
       "      <td>0</td>\n",
       "      <td>38849.58</td>\n",
       "      <td>3567909.24</td>\n",
       "      <td>4859075.84</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>United States</td>\n",
       "      <td>Congo, Dem. Rep.</td>\n",
       "      <td>9.75</td>\n",
       "      <td>1.41</td>\n",
       "      <td>27678.64</td>\n",
       "      <td>78002.32</td>\n",
       "      <td>50323.68</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.69</td>\n",
       "      <td>...</td>\n",
       "      <td>39.52</td>\n",
       "      <td>60.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.48</td>\n",
       "      <td>19.70</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>20667.85</td>\n",
       "      <td>28685.94</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>United States</td>\n",
       "      <td>Zambia</td>\n",
       "      <td>10.35</td>\n",
       "      <td>1.08</td>\n",
       "      <td>4537.42</td>\n",
       "      <td>195379.27</td>\n",
       "      <td>190841.84</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>2.18</td>\n",
       "      <td>...</td>\n",
       "      <td>59.60</td>\n",
       "      <td>36.36</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.04</td>\n",
       "      <td>350.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>138367.28</td>\n",
       "      <td>51342.50</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>United States</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>5.78</td>\n",
       "      <td>1.70</td>\n",
       "      <td>-45324.59</td>\n",
       "      <td>33737.88</td>\n",
       "      <td>79062.47</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3.85</td>\n",
       "      <td>...</td>\n",
       "      <td>58.82</td>\n",
       "      <td>32.20</td>\n",
       "      <td>0.93</td>\n",
       "      <td>8.05</td>\n",
       "      <td>350.00</td>\n",
       "      <td>0</td>\n",
       "      <td>6198.63</td>\n",
       "      <td>70412.93</td>\n",
       "      <td>8226.68</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>231 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Reporter Name      Partner Name  Export Share in Total Products (%)  \\\n",
       "0    United States             Aruba                               37.99   \n",
       "1    United States       Afghanistan                               24.22   \n",
       "2    United States            Angola                               18.71   \n",
       "3    United States           Anguila                               19.99   \n",
       "4    United States           Albania                                6.71   \n",
       "..             ...               ...                                 ...   \n",
       "226  United States             Yemen                                4.39   \n",
       "227  United States      South Africa                               56.83   \n",
       "228  United States  Congo, Dem. Rep.                                9.75   \n",
       "229  United States            Zambia                               10.35   \n",
       "230  United States          Zimbabwe                                5.78   \n",
       "\n",
       "     Import Share in Total Products (%)  Trade Balance (US$ Thousand)  \\\n",
       "0                                  1.41                     570308.23   \n",
       "1                                  2.91                    1197093.01   \n",
       "2                                  0.40                   -2243739.33   \n",
       "3                                  0.62                     110551.09   \n",
       "4                                  5.19                     -11206.99   \n",
       "..                                  ...                           ...   \n",
       "226                                0.79                     189077.98   \n",
       "227                               31.65                   -3132357.73   \n",
       "228                                1.41                      27678.64   \n",
       "229                                1.08                       4537.42   \n",
       "230                                1.70                     -45324.59   \n",
       "\n",
       "     Export (US$ Thousand)  Import (US$ Thousand)  Import Partner Share (%)  \\\n",
       "0                601974.40               31666.17                      0.00   \n",
       "1               1226885.15               29792.15                      0.00   \n",
       "2                525185.65             2768924.98                      0.11   \n",
       "3                115705.45                5154.36                      0.00   \n",
       "4                 59200.12               70407.11                      0.00   \n",
       "..                     ...                    ...                       ...   \n",
       "226              191307.70                2229.72                      0.00   \n",
       "227             5517377.25             8649734.98                      0.33   \n",
       "228               78002.32               50323.68                      0.00   \n",
       "229              195379.27              190841.84                      0.01   \n",
       "230               33737.88               79062.47                      0.00   \n",
       "\n",
       "     Export Partner Share (%)  AHS Simple Average (%)  ...  \\\n",
       "0                        0.04                    0.74  ...   \n",
       "1                        0.07                    1.47  ...   \n",
       "2                        0.03                    1.03  ...   \n",
       "3                        0.01                    0.73  ...   \n",
       "4                        0.00                    6.75  ...   \n",
       "..                        ...                     ...  ...   \n",
       "226                      0.01                    3.11  ...   \n",
       "227                      0.33                    0.63  ...   \n",
       "228                      0.00                    0.69  ...   \n",
       "229                      0.01                    2.18  ...   \n",
       "230                      0.00                    3.85  ...   \n",
       "\n",
       "     MFN Dutiable Tariff Lines Share (%)  \\\n",
       "0                                  51.22   \n",
       "1                                  56.18   \n",
       "2                                  37.84   \n",
       "3                                  42.65   \n",
       "4                                  65.92   \n",
       "..                                   ...   \n",
       "226                                61.81   \n",
       "227                                54.17   \n",
       "228                                39.52   \n",
       "229                                59.60   \n",
       "230                                58.82   \n",
       "\n",
       "     MFN Duty Free Tariff Lines Share (%)  \\\n",
       "0                                   46.34   \n",
       "1                                   30.19   \n",
       "2                                   56.76   \n",
       "3                                   54.41   \n",
       "4                                   24.97   \n",
       "..                                    ...   \n",
       "226                                 20.83   \n",
       "227                                 37.57   \n",
       "228                                 60.00   \n",
       "229                                 36.36   \n",
       "230                                 32.20   \n",
       "\n",
       "     MFN Specific Tariff Lines Share (%)  MFN AVE Tariff Lines Share (%)  \\\n",
       "0                                   0.00                            2.44   \n",
       "1                                   0.21                           13.42   \n",
       "2                                   5.41                            0.00   \n",
       "3                                   0.00                            2.94   \n",
       "4                                   0.12                            8.99   \n",
       "..                                   ...                             ...   \n",
       "226                                 0.00                           17.36   \n",
       "227                                 1.47                            6.79   \n",
       "228                                 0.00                            0.48   \n",
       "229                                 0.00                            4.04   \n",
       "230                                 0.93                            8.05   \n",
       "\n",
       "     MFN MaxRate (%)  MFN MinRate (%)  \\\n",
       "0              90.03                0   \n",
       "1              76.52                0   \n",
       "2              16.50                0   \n",
       "3              16.50                0   \n",
       "4             350.00                0   \n",
       "..               ...              ...   \n",
       "226            37.11                0   \n",
       "227           350.00                0   \n",
       "228            19.70                0   \n",
       "229           350.00                0   \n",
       "230           350.00                0   \n",
       "\n",
       "     MFN SpecificDuty Imports (US$ Thousand)  \\\n",
       "0                                       0.00   \n",
       "1                                       1.06   \n",
       "2                                 2487662.61   \n",
       "3                                       0.00   \n",
       "4                                      38.91   \n",
       "..                                       ...   \n",
       "226                                     0.00   \n",
       "227                                 38849.58   \n",
       "228                                     0.00   \n",
       "229                                     0.00   \n",
       "230                                  6198.63   \n",
       "\n",
       "     MFN Dutiable Imports (US$ Thousand)  \\\n",
       "0                                5422.55   \n",
       "1                               16866.93   \n",
       "2                             2553366.97   \n",
       "3                                2396.21   \n",
       "4                               65995.63   \n",
       "..                                   ...   \n",
       "226                               341.11   \n",
       "227                           3567909.24   \n",
       "228                             20667.85   \n",
       "229                            138367.28   \n",
       "230                             70412.93   \n",
       "\n",
       "     MFN Duty Free Imports (US$ Thousand)  No Of Tariff Agreement  \n",
       "0                                 4333.60                     1.0  \n",
       "1                                10514.38                     2.0  \n",
       "2                               210040.74                     3.0  \n",
       "3                                 2567.91                     1.0  \n",
       "4                                 2639.05                     1.0  \n",
       "..                                    ...                     ...  \n",
       "226                               1852.67                     2.0  \n",
       "227                            4859075.84                     3.0  \n",
       "228                              28685.94                     2.0  \n",
       "229                              51342.50                     4.0  \n",
       "230                               8226.68                     1.0  \n",
       "\n",
       "[231 rows x 34 columns]"
      ]
     },
     "execution_count": 221,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_us_partner"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The U.S.'s trade balance with the world is "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 362,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-946129553.57"
      ]
     },
     "execution_count": 362,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "us_world_blance = df_us_partner.iloc[223]['Trade Balance (US$ Thousand)']\n",
    "us_world_blance"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. U.S. and China Top Trade Partners by Pie Chart\n",
    "Then look at the U.S.'s and China's top trade partners in pie charts. Also observe the source of the U.S. trade deficit "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 363,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Export Partner Share (%)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Partner Name</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Others</th>\n",
       "      <td>38.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Canada</th>\n",
       "      <td>18.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mexico</th>\n",
       "      <td>15.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>China</th>\n",
       "      <td>7.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>4.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United Kingdom</th>\n",
       "      <td>3.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Germany</th>\n",
       "      <td>3.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Korea, Rep.</th>\n",
       "      <td>3.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Netherlands</th>\n",
       "      <td>2.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>2.38</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Export Partner Share (%)\n",
       "Partner Name                            \n",
       "Others                             38.22\n",
       "Canada                             18.00\n",
       "Mexico                             15.94\n",
       "China                               7.21\n",
       "Japan                               4.52\n",
       "United Kingdom                      3.98\n",
       "Germany                             3.44\n",
       "Korea, Rep.                         3.39\n",
       "Netherlands                         2.92\n",
       "Brazil                              2.38"
      ]
     },
     "execution_count": 363,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#clean \n",
    "\n",
    "#pull out some redudant aggregate regions from the dataset\n",
    "region = [\"World\",\"Latin America & Caribbean\",\"North America\",'East Asia & Pacific',\n",
    "          'Europe & Central Asia','Middle East & North Africa','Sub-Saharan Africa','Other Asia, nes','South Asia']\n",
    "#U.S. top 10 exports destination \n",
    "df_us_top10_destination = df_us_partner.nlargest(16,'Export Partner Share (%)')\n",
    "df_us_top10_destination_1 = df_us_top10_destination[['Partner Name','Export Partner Share (%)']]\n",
    "df_us_top10_destination_1.drop(df_us_top10_destination_1.\n",
    "                               loc[df_us_top10_destination_1['Partner Name'].isin(region)].index, inplace=True)\n",
    "df_us_top10_destination_2 = df_us_top10_destination_1.drop(223).reset_index().drop('index',axis=1)\n",
    "others_us_share = 100 - df_us_top10_destination_2['Export Partner Share (%)'].sum()\n",
    "other_us_row = pd.DataFrame([['Others',others_us_share]], columns=['Partner Name','Export Partner Share (%)'])\n",
    "df_us_top10_destination_3 = pd.concat([other_us_row,df_us_top10_destination_2]).set_index('Partner Name')\n",
    "\n",
    "\n",
    "\n",
    "#U.S. top 10 imports origin\n",
    "df_us_top10_origin = df_us_partner.nlargest(16,'Import Partner Share (%)')\n",
    "df_us_top10_origin_1 = df_us_top10_origin[['Partner Name','Import Partner Share (%)']]\n",
    "df_us_top10_origin_1.drop(df_us_top10_origin_1.\n",
    "                        loc[df_us_top10_origin_1['Partner Name'].isin(region)].index, inplace=True)\n",
    "df_us_top10_origin_2 = df_us_top10_origin_1.drop(223).reset_index().drop('index',axis=1)\n",
    "others_share_imports = 100 - df_us_top10_origin_2['Import Partner Share (%)'].sum()\n",
    "other_row_imports = pd.DataFrame([['Others',others_share_imports]], columns=['Partner Name','Import Partner Share (%)'])\n",
    "df_us_top10_origin_3 = pd.concat([other_row_imports,df_us_top10_origin_2]).set_index('Partner Name')\n",
    "\n",
    "#China top 10 exports destination \n",
    "df_china_top10_destination = df_china_partner.nlargest(16,'Export Partner Share (%)')\n",
    "df_china_top10_destination_1 = df_china_top10_destination[['Partner Name','Export Partner Share (%)']]\n",
    "df_china_top10_destination_1.drop(df_china_top10_destination_1.\n",
    "                               loc[df_china_top10_destination_1['Partner Name'].isin(region)].index, inplace=True)\n",
    "df_china_top10_destination_2 = df_china_top10_destination_1.drop(215).reset_index().drop('index',axis=1)\n",
    "others_china_share = 100 - df_china_top10_destination_2['Export Partner Share (%)'].sum()\n",
    "other_china_row = pd.DataFrame([['Others',others_china_share]], columns=['Partner Name','Export Partner Share (%)'])\n",
    "df_china_top10_destination_3 = pd.concat([other_china_row,df_china_top10_destination_2]).set_index('Partner Name')\n",
    "\n",
    "#China top 10 imports origin\n",
    "df_china_top10_origin = df_china_partner.nlargest(17,'Import Partner Share (%)')\n",
    "df_china_top10_origin_1 = df_china_top10_origin[['Partner Name','Import Partner Share (%)']]\n",
    "df_china_top10_origin_1.drop(df_china_top10_origin_1.\n",
    "                        loc[df_china_top10_origin_1['Partner Name'].isin(region)].index, inplace=True)\n",
    "df_china_top10_origin_2 = df_china_top10_origin_1.drop(215).reset_index().drop('index',axis=1)\n",
    "others_share_china_import = 100 - df_china_top10_origin_2['Import Partner Share (%)'].sum()\n",
    "other_row_china_imports = pd.DataFrame([['Others',others_share_china_import]], columns=['Partner Name','Import Partner Share (%)'])\n",
    "df_china_top10_origin_3 = pd.concat([other_row_china_imports,df_china_top10_origin_2]).set_index('Partner Name')\n",
    "\n",
    "#we also clean the data of u.s. trade balance top 10 list \n",
    "df_us_balance = df_us_partner.nsmallest(12,'Trade Balance (US$ Thousand)')\n",
    "df_deficit = df_us_balance[['Partner Name','Trade Balance (US$ Thousand)']]\n",
    "df_deficit.drop(df_deficit.loc[df_deficit['Partner Name'].isin(region)].index, inplace=True)\n",
    "df_us_balance_1 = df_deficit.drop(223).reset_index().drop('index',axis=1)\n",
    "balance_other_country = us_world_blance - df_us_balance_1['Trade Balance (US$ Thousand)'].sum()\n",
    "other_us_blance = pd.DataFrame([['Deficit From Other Countries',balance_other_country]], columns=['Partner Name','Trade Balance (US$ Thousand)'])\n",
    "df_us_deficit = pd.concat([other_us_blance,df_us_balance_1]).set_index('Partner Name')\n",
    "\n",
    "#for the sake of better plotting in bokeh I put others on the top\n",
    "df_us_top10_destination_3\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 364,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Import Partner Share (%)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Partner Name</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Others</th>\n",
       "      <td>32.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>China</th>\n",
       "      <td>21.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mexico</th>\n",
       "      <td>13.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Canada</th>\n",
       "      <td>12.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>5.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Germany</th>\n",
       "      <td>4.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Korea, Rep.</th>\n",
       "      <td>2.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United Kingdom</th>\n",
       "      <td>2.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ireland</th>\n",
       "      <td>2.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>India</th>\n",
       "      <td>2.16</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Import Partner Share (%)\n",
       "Partner Name                            \n",
       "Others                             32.44\n",
       "China                              21.57\n",
       "Mexico                             13.37\n",
       "Canada                             12.47\n",
       "Japan                               5.59\n",
       "Germany                             4.91\n",
       "Korea, Rep.                         2.92\n",
       "United Kingdom                      2.36\n",
       "Ireland                             2.21\n",
       "India                               2.16"
      ]
     },
     "execution_count": 364,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_us_top10_origin_3\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 477,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Export Partner Share (%)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Partner Name</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Others</th>\n",
       "      <td>38.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>19.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hong Kong, China</th>\n",
       "      <td>12.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>5.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Korea, Rep.</th>\n",
       "      <td>4.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vietnam</th>\n",
       "      <td>3.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Germany</th>\n",
       "      <td>3.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>India</th>\n",
       "      <td>3.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Netherlands</th>\n",
       "      <td>2.93</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Export Partner Share (%)\n",
       "Partner Name                              \n",
       "Others                               38.19\n",
       "United States                        19.23\n",
       "Hong Kong, China                     12.15\n",
       "Japan                                 5.90\n",
       "Korea, Rep.                           4.37\n",
       "Vietnam                               3.37\n",
       "Germany                               3.12\n",
       "India                                 3.08\n",
       "Netherlands                           2.93"
      ]
     },
     "execution_count": 477,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_china_top10_destination_3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 365,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Import Partner Share (%)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Partner Name</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Others</th>\n",
       "      <td>52.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Korea, Rep.</th>\n",
       "      <td>9.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>8.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>7.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Germany</th>\n",
       "      <td>4.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>4.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>3.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vietnam</th>\n",
       "      <td>3.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Malaysia</th>\n",
       "      <td>2.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Russian Federation</th>\n",
       "      <td>2.76</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Import Partner Share (%)\n",
       "Partner Name                                \n",
       "Others                                 52.42\n",
       "Korea, Rep.                             9.58\n",
       "Japan                                   8.45\n",
       "United States                           7.31\n",
       "Germany                                 4.98\n",
       "Australia                               4.92\n",
       "Brazil                                  3.61\n",
       "Vietnam                                 3.00\n",
       "Malaysia                                2.97\n",
       "Russian Federation                      2.76"
      ]
     },
     "execution_count": 365,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_china_top10_origin_3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 366,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Others': 38.21999999999999,\n",
       " 'Canada': 18.0,\n",
       " 'Mexico': 15.94,\n",
       " 'China': 7.21,\n",
       " 'Japan': 4.52,\n",
       " 'United Kingdom': 3.98,\n",
       " 'Germany': 3.44,\n",
       " 'Korea, Rep.': 3.39,\n",
       " 'Netherlands': 2.92,\n",
       " 'Brazil': 2.38}"
      ]
     },
     "execution_count": 366,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#prep for bokeh some dictionaries\n",
    "us_top10_destination = df_us_top10_destination_3['Export Partner Share (%)'].to_dict()\n",
    "us_top10_origin = df_us_top10_origin_3['Import Partner Share (%)'].to_dict()\n",
    "china_top10_destination = df_china_top10_destination_3['Export Partner Share (%)'].to_dict()\n",
    "china_top10_origin = df_china_top10_origin_3['Import Partner Share (%)'].to_dict()\n",
    "us_top10_destination"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 367,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_us_deficit = df_us_deficit.reindex(['Deficit From Other Countries', 'Mexico', 'Germany', 'Japan','Ireland','Vietnam','Italy','China'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 368,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Trade Balance (US$ Thousand)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Partner Name</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Deficit From Other Countries</th>\n",
       "      <td>-1.556063e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mexico</th>\n",
       "      <td>-8.376046e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Germany</th>\n",
       "      <td>-7.101312e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>-7.067617e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ireland</th>\n",
       "      <td>-4.695435e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vietnam</th>\n",
       "      <td>-4.160220e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Italy</th>\n",
       "      <td>-3.346167e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>China</th>\n",
       "      <td>-4.430553e+08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              Trade Balance (US$ Thousand)\n",
       "Partner Name                                              \n",
       "Deficit From Other Countries                 -1.556063e+08\n",
       "Mexico                                       -8.376046e+07\n",
       "Germany                                      -7.101312e+07\n",
       "Japan                                        -7.067617e+07\n",
       "Ireland                                      -4.695435e+07\n",
       "Vietnam                                      -4.160220e+07\n",
       "Italy                                        -3.346167e+07\n",
       "China                                        -4.430553e+08"
      ]
     },
     "execution_count": 368,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#reorder prepare for a better visualization for pie chart\n",
    "df_us_deficit"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The bokeh pie chart below is based on the example given by the bokeh library.\n",
    "\n",
    "reference from the bokeh lib http://docs.bokeh.org/en/latest/docs/gallery/pie_chart.htm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 449,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"b9c65789-e172-4860-b365-bf34073fbddd\" data-root-id=\"9687\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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                     Others\",\"                 Korea, Rep.\",\"                       Japan\",\"               United States\",\"                     Germany\",\"                   Australia\",\"                      Brazil\",\"                     Vietnam\",\"                    Malaysia\",\"          Russian Federation\"],\"index\":[0,1,2,3,4,5,6,7,8,9],\"value\":{\"__ndarray__\":\"9ihcj8I1SkApXI/C9SgjQGZmZmZm5iBAPQrXo3A9HUDsUbgehesTQK5H4XoUrhNA4XoUrkfhDEAAAAAAAAAIQMP1KFyPwgdAFK5H4XoUBkA=\",\"dtype\":\"float64\",\"shape\":[10]}},\"selected\":{\"id\":\"9680\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"9679\",\"type\":\"UnionRenderers\"}},\"id\":\"9640\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"field\":\"angle\",\"include_zero\":true},\"id\":\"9598\",\"type\":\"CumSum\"},{\"attributes\":{\"label\":{\"field\":\"country\"},\"renderers\":[{\"id\":\"9545\",\"type\":\"GlyphRenderer\"}]},\"id\":\"9553\",\"type\":\"LegendItem\"},{\"attributes\":{\"axis_label\":null,\"formatter\":{\"id\":\"9634\",\"type\":\"BasicTickFormatter\"},\"ticker\":{\"id\":\"9613\",\"type\":\"BasicTicker\"},\"visible\":false},\"id\":\"9612\",\"type\":\"LinearAxis\"},{\"attributes\":{\"tools\":[{\"id\":\"9493\",\"type\":\"HoverTool\"},{\"id\":\"9536\",\"type\":\"HoverTool\"},{\"id\":\"9579\",\"type\":\"HoverTool\"},{\"id\":\"9622\",\"type\":\"HoverTool\"}]},\"id\":\"9685\",\"type\":\"ProxyToolbar\"},{\"attributes\":{\"axis_label\":null,\"formatter\":{\"id\":\"9593\",\"type\":\"BasicTickFormatter\"},\"ticker\":{\"id\":\"9575\",\"type\":\"BasicTicker\"},\"visible\":false},\"id\":\"9574\",\"type\":\"LinearAxis\"},{\"attributes\":{\"field\":\"angle\",\"include_zero\":true},\"id\":\"9582\",\"type\":\"CumSum\"},{\"attributes\":{\"text\":\"China Top 10 Imports Country of Origin by Percentage Point in 2018\"},\"id\":\"9602\",\"type\":\"Title\"},{\"attributes\":{\"field\":\"angle\",\"include_zero\":true},\"id\":\"9555\",\"type\":\"CumSum\"},{\"attributes\":{},\"id\":\"9608\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"start\":-0.5},\"id\":\"9604\",\"type\":\"Range1d\"},{\"attributes\":{\"callback\":null,\"data\":{\"angle\":{\"__ndarray__\":\"n1+4FfYLB0D0i9LNBFXzP/xcRozUbeg/4IxIxK251z+uA9jZo5LRP85zpOpnGss/645h+K8XyT9/nUwZVcXIPyoUvlSAkMc/\",\"dtype\":\"float64\",\"shape\":[9]},\"color\":[\"#3182bd\",\"#6baed6\",\"#9ecae1\",\"#c6dbef\",\"#e6550d\",\"#fd8d3c\",\"#fdae6b\",\"#fdd0a2\",\"#31a354\"],\"country\":[\"                      Others\",\"               United States\",\"            Hong Kong, China\",\"                       Japan\",\"                 Korea, Rep.\",\"                     Vietnam\",\"                     Germany\",\"                       India\",\"                 Netherlands\"],\"index\":[0,1,2,3,4,5,6,7,8],\"value\":{\"__ndarray__\":\"zMzMzMzsRkB7FK5H4TozQM3MzMzMTChAmpmZmZmZF0B7FK5H4XoRQPYoXI/C9QpA9ihcj8L1CECkcD0K16MIQHE9CtejcAdA\",\"dtype\":\"float64\",\"shape\":[9]}},\"selected\":{\"id\":\"9670\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"9669\",\"type\":\"UnionRenderers\"}},\"id\":\"9597\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"9565\",\"type\":\"LinearScale\"},{\"attributes\":{\"end_angle\":{\"expr\":{\"id\":\"9626\",\"type\":\"CumSum\"},\"units\":\"rad\"},\"fill_color\":{\"field\":\"color\"},\"line_color\":{\"value\":\"white\"},\"radius\":{\"units\":\"data\",\"value\":0.4},\"start_angle\":{\"expr\":{\"id\":\"9625\",\"type\":\"CumSum\"},\"units\":\"rad\"},\"x\":{\"value\":0},\"y\":{\"value\":1}},\"id\":\"9629\",\"type\":\"Wedge\"},{\"attributes\":{\"callback\":null},\"id\":\"9606\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"9610\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"9570\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null},\"id\":\"9563\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"9618\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"start\":-0.5},\"id\":\"9561\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"9662\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"9613\",\"type\":\"BasicTicker\"},{\"attributes\":{\"grid_line_color\":null,\"ticker\":{\"id\":\"9613\",\"type\":\"BasicTicker\"}},\"id\":\"9616\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"tooltips\":\"@country: @value\"},\"id\":\"9622\",\"type\":\"HoverTool\"},{\"attributes\":{\"end_angle\":{\"expr\":{\"id\":\"9583\",\"type\":\"CumSum\"},\"units\":\"rad\"},\"fill_color\":{\"field\":\"color\"},\"line_color\":{\"value\":\"white\"},\"radius\":{\"units\":\"data\",\"value\":0.4},\"start_angle\":{\"expr\":{\"id\":\"9582\",\"type\":\"CumSum\"},\"units\":\"rad\"},\"x\":{\"value\":0},\"y\":{\"value\":1}},\"id\":\"9586\",\"type\":\"Wedge\"},{\"attributes\":{},\"id\":\"9567\",\"type\":\"LinearScale\"},{\"attributes\":{\"dimension\":1,\"grid_line_color\":null,\"ticker\":{\"id\":\"9618\",\"type\":\"BasicTicker\"}},\"id\":\"9621\",\"type\":\"Grid\"},{\"attributes\":{\"axis_label\":null,\"formatter\":{\"id\":\"9636\",\"type\":\"BasicTickFormatter\"},\"ticker\":{\"id\":\"9618\",\"type\":\"BasicTicker\"},\"visible\":false},\"id\":\"9617\",\"type\":\"LinearAxis\"},{\"attributes\":{\"axis_label\":null,\"formatter\":{\"id\":\"9591\",\"type\":\"BasicTickFormatter\"},\"ticker\":{\"id\":\"9570\",\"type\":\"BasicTicker\"},\"visible\":false},\"id\":\"9569\",\"type\":\"LinearAxis\"},{\"attributes\":{\"field\":\"angle\"},\"id\":\"9626\",\"type\":\"CumSum\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"9622\",\"type\":\"HoverTool\"}]},\"id\":\"9623\",\"type\":\"Toolbar\"},{\"attributes\":{\"grid_line_color\":null,\"ticker\":{\"id\":\"9570\",\"type\":\"BasicTicker\"}},\"id\":\"9573\",\"type\":\"Grid\"}],\"root_ids\":[\"9687\"]},\"title\":\"Bokeh Application\",\"version\":\"1.4.0\"}};\n",
       "  var render_items = [{\"docid\":\"134a225a-05d3-4f6b-8098-9f6e77049493\",\"roots\":{\"9687\":\"b9c65789-e172-4860-b365-bf34073fbddd\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "9687"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#I manually looped over \n",
    "\n",
    "from math import pi\n",
    "\n",
    "from bokeh.io import output_notebook, show\n",
    "from bokeh.palettes import Category20c\n",
    "from bokeh.plotting import figure\n",
    "from bokeh.transform import cumsum\n",
    "from bokeh.models import LabelSet, ColumnDataSource\n",
    "from bokeh.layouts import row\n",
    "from bokeh.layouts import gridplot\n",
    "\n",
    "\n",
    "#1st U.S. destination plot\n",
    "x = us_top10_destination\n",
    "data = pd.Series(x).reset_index(name='value').rename(columns={'index':'country'})\n",
    "data['angle'] = data['value']/data['value'].sum() * 2*pi\n",
    "data['color'] = Category20c[len(x)]\n",
    "\n",
    "s = figure(plot_height=350, title=\"U.S. Top 10 Export Destination by Percentage Point in 2018\", toolbar_location=None,\n",
    "           tools=\"hover\", tooltips=\"@country: @value\", x_range=(-0.5, 1.0))\n",
    "\n",
    "s.wedge(x=0, y=1, radius=0.4,\n",
    "        start_angle=cumsum('angle', include_zero=True), end_angle=cumsum('angle'),\n",
    "        line_color=\"white\", fill_color='color', legend_field='country', source=data)\n",
    "data[\"country\"] = data['country'].astype(str)\n",
    "data[\"country\"] = data[\"country\"].str.pad(28, side = \"left\")\n",
    "source = ColumnDataSource(data)\n",
    "\n",
    "labels = LabelSet(x=0, y=1, text='country',\n",
    "        angle=cumsum('angle', include_zero=True), source=source, render_mode='canvas')\n",
    "\n",
    "s.add_layout(labels)\n",
    "\n",
    "\n",
    "\n",
    "s.axis.axis_label=None\n",
    "s.axis.visible=False\n",
    "s.grid.grid_line_color = None\n",
    "\n",
    "\n",
    "#2nd U.S. origin plot\n",
    "x1 = us_top10_origin\n",
    "data1 = pd.Series(x1).reset_index(name='value').rename(columns={'index':'country'})\n",
    "data1['angle'] = data1['value']/data1['value'].sum() * 2*pi\n",
    "data1['color'] = Category20c[len(x1)]\n",
    "\n",
    "s1 = figure(plot_height=350, title=\"U.S. Top 10 Imports Country of Origin by Percentage Point in 2018\", toolbar_location=None,\n",
    "           tools=\"hover\", tooltips=\"@country: @value\", x_range=(-0.5, 1.0))\n",
    "\n",
    "s1.wedge(x=0, y=1, radius=0.4,\n",
    "        start_angle=cumsum('angle', include_zero=True), end_angle=cumsum('angle'),\n",
    "        line_color=\"white\", fill_color='color', legend_field='country', source=data1)\n",
    "data1[\"country\"] = data1['country'].astype(str)\n",
    "data1[\"country\"] = data1[\"country\"].str.pad(28, side = \"left\")\n",
    "source1 = ColumnDataSource(data1)\n",
    "\n",
    "labels1 = LabelSet(x=0, y=1, text='country',\n",
    "        angle=cumsum('angle', include_zero=True), source=source1, render_mode='canvas')\n",
    "\n",
    "s1.add_layout(labels1)\n",
    "\n",
    "\n",
    "\n",
    "s1.axis.axis_label=None\n",
    "s1.axis.visible=False\n",
    "s1.grid.grid_line_color = None\n",
    "\n",
    "#3rd China Destination Plot\n",
    "x2 = china_top10_destination\n",
    "data2 = pd.Series(x2).reset_index(name='value').rename(columns={'index':'country'})\n",
    "data2['angle'] = data2['value']/data2['value'].sum() * 2*pi\n",
    "data2['color'] = Category20c[len(x2)]\n",
    "\n",
    "s2 = figure(plot_height=350, title=\"China Top 10 Export Destination by Percentage Point in 2018\", toolbar_location=None,\n",
    "           tools=\"hover\", tooltips=\"@country: @value\", x_range=(-0.5, 1.0))\n",
    "\n",
    "s2.wedge(x=0, y=1, radius=0.4,\n",
    "        start_angle=cumsum('angle', include_zero=True), end_angle=cumsum('angle'),\n",
    "        line_color=\"white\", fill_color='color', legend_field='country', source=data2)\n",
    "data2[\"country\"] = data2['country'].astype(str)\n",
    "data2[\"country\"] = data2[\"country\"].str.pad(28, side = \"left\")\n",
    "source2 = ColumnDataSource(data2)\n",
    "\n",
    "labels2 = LabelSet(x=0, y=1, text='country',\n",
    "        angle=cumsum('angle', include_zero=True), source=source2, render_mode='canvas')\n",
    "\n",
    "s2.add_layout(labels2)\n",
    "\n",
    "\n",
    "\n",
    "s2.axis.axis_label=None\n",
    "s2.axis.visible=False\n",
    "s2.grid.grid_line_color = None\n",
    "\n",
    "#4th China Origin Plot\n",
    "\n",
    "x3 = china_top10_origin\n",
    "data3 = pd.Series(x3).reset_index(name='value').rename(columns={'index':'country'})\n",
    "data3['angle'] = data3['value']/data3['value'].sum() * 2*pi\n",
    "data3['color'] = Category20c[len(x3)]\n",
    "\n",
    "s3 = figure(plot_height=350, title=\"China Top 10 Imports Country of Origin by Percentage Point in 2018\", toolbar_location=None,\n",
    "           tools=\"hover\", tooltips=\"@country: @value\", x_range=(-0.5, 1.0))\n",
    "\n",
    "s3.wedge(x=0, y=1, radius=0.4,\n",
    "        start_angle=cumsum('angle', include_zero=True), end_angle=cumsum('angle'),\n",
    "        line_color=\"white\", fill_color='color', legend_field='country', source=data3)\n",
    "data3[\"country\"] = data3['country'].astype(str)\n",
    "data3[\"country\"] = data3[\"country\"].str.pad(28, side = \"left\")\n",
    "source3 = ColumnDataSource(data3)\n",
    "\n",
    "labels3 = LabelSet(x=0, y=1, text='country',\n",
    "        angle=cumsum('angle', include_zero=True), source=source3, render_mode='canvas')\n",
    "\n",
    "s3.add_layout(labels3)\n",
    "\n",
    "\n",
    "\n",
    "s3.axis.axis_label=None\n",
    "s3.axis.visible=False\n",
    "s3.grid.grid_line_color = None\n",
    "##now we use grid to show results\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "#show the result by a 2*2 grid\n",
    "grid = gridplot([s, s1, s2,s3], ncols=2)\n",
    "\n",
    "\n",
    "# show the results\n",
    "#show(row(s, s1))\n",
    "\n",
    "output_notebook()\n",
    "\n",
    "#reference from the bokeh lib http://docs.bokeh.org/en/latest/docs/gallery/pie_chart.html   \n",
    "show(grid)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can also check the bokeh video I attached to see the detail of the plot\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 459,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 459,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "Image(\"/Users/zihao/Desktop/UBC/Econ 323/Project/Pie Share.png\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Top 8 deficit, slice China out."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 381,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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vAvx1Pl92BfeumoTccb0vv5iIvhm+IHo6laHXp2Jl9Hhk/nttZi34EcSK+WL0eKHtfF+mLvy1LjuJirRP4++3dXGxE0Pz98BaMqkj2Hk7STN7PX5kvizwxmiQi5yP4rsT/m9UMBeu32lme08xxmX4E+rPWME9yswsMc57+TwCzLOCe2TNgC9EjxdFw6QDT7fOnB89/XyR9RqA9+fPMH//rLPx3SSvHse+fxM9nmRmO7XMmtnu+KG6YWZ+N1ZGj0MF++3Dt9BMxhP4gmrcf7NGExV5l+J7Anyq8LME/nduhEK4KDPb38zmFXkp95nUABQiJU7d/ETKw1uAA/Gjth1qZj/Fdwnqx/exbwL+xzn3q4L1DsK39vyKnU9SjsefDKzEX+x8L/5b6cX4EbOSwGUF1zWNtK2iohPx7+C7Df0AONnMdrlw3Tl3fsGs1wK/Ay4zs2Pw108cjP9W/m/4Ed4K9/VKfBch2PEN9/OiQhPgLudc/qh278APtvESYH8zy13Yfwz+XjoPA+8a6xhngnPuH2Z2Hb4r4k1Rtnb8+/IwfiS0dMFqn8MXwMcCt0Xr1+HvM3QDxbu4/SewB34Uw+dHXbgewHcLG8QPG/1GdnS9HI8z804kG/BF8ZHAXPygGedGI0nm+zj+3kIvBY6JPtv34E9YF+Hf18uYWqvrx/CtmqcB/zCz7+KLo178e/5Rxj5h/xm+69UPzd/vbCvwJ+fcj6eQq5jL8LcqOB643cy+j78n0en4wQ8uc84VK2Z+B6yIiqBf4U/Gz4rWfbVzrnDQkl045241s0/hWxFvMLPc6JF9wKn4vxGfds4Vaxmbqh/jf9dfG32hcyP+c34ifuCN3lHWLco5t8XMfg0MmdlV0fa3Az+YwjH8D7AP/m/x8Wb2M/z1eLnBVA4HPgjscuPoEZwBvNXMrscPzPEI/kuOk/CfsY9OMqeIzJbZGoNdkyZNU5vw396/C38tzZP4/2gfxN+o8oQR1hmiyD2q8CfLb8F3v/sHfgSqzfiT2GuA5413W6PkzS0/6jTCuml8a8sD+C5Fq/AnxEXvlYNvkRttP7tkxl9E/ml8153N+Nazv+NP7nsm+R4NMP77TF03yjJN+Jacf0a5VuG/EW/Bn2Q+VWSdOvxJ3KroeP6JHyq7baT94Xsn5G4O/Fj0s74PfzL+DsZ57zF23PcpN23Htwr8Pfo8nQO0jLGN5+Ovw3k4yvEAvjvnBcBuI+xvXPeZiuZbdKy/xf/+bMR3ObwC2DNvuZHuM9WCL1pX47usjnq/qBGOccz7TEXL1UQ//9vYcc+nG4DhIss+fS8l/Jch1+AL143ROidO4nP8YnwB82h0rI9Fn5EXT3A7Re8zNcry86P3477oc/9X/N+8ZPT89wXLv3Os7eN/J78dfS6y5N1Tih33mbpwhHXvAh4c4bUV+FFAH4k+r6vxBe17gIFi788I2zkAf03Un6NtbcT/7l4J7D3R906TJk2zP5lzGiRGRESkHJlZN77w/Lpz7gWh84iIVBtdMyUiIiIiIjIJKqZEREREREQmQcWUiIiIiIjIJOiaKRERERERkUlQy5SIiIiIiMgkqJgSERERERGZBBVTIiIiIiIik6BiSkREREREZBJUTImIiIiIiEyCiikREREREZFJUDElIiIiIiIyCSqmREREREREJkHFlIiIiIiIyCSomBIREREREZkEFVMiIiIiIiKToGJKRERERERkElRMiYiIiIiITIKKKRERERERkUlQMSUiIiIiIjIJKqZEREREREQmQcWUiIiIiIjIJKiYEhERERERmQQVUyIiIiIiIpOgYkpERERERGQSVEyJiIiIiIhMgoopERERERGRSVAxJSIiIiIiMgkqpkRERERERCZBxZSIiIiIiMgkJEIHEBERmbKMHQb8D5AtmLYB66PpqVGm9cA64GHgQVa4jbN8BCIiUoZUTImISCXoAA6ftq1lbB3wYJFpTd6/72GFWztt+xQRkbKjYkpERCbMhoYNaALagNbo3wl89/F43pR7/mv3yysfCZN2UpqiafGoS/mi65/AP/Km3PP7WeHczMYUEZGQVEyJiFQ5GxqeC/ThW3da2VEgtY3y7xZ8kTReRwHXT1/qktEE7BNNhTaSsX/jC6u7gFuj6S5WuO2zF1FERGaKiikRkQpnQ8ONwAJgYfS4IO/5ANAQLNwknLS/tQM9gMtNF5xO774DQWMVUwcsj6aT8uZvJGN3An/Om25lhXtq9iOKiMhUqJgSEakANjTcj++SVlg0LQQ6A0abCWcBzwA2R8/d7/9BXwkWUyOpAw6IphxHxv6FL6xuAn4L/JEVblOAfCIiMk4qpkREykh0rdJuwH7A/tHjvkB7yFyzLAE8Gk0A1CWpDxdnWhiwKJpOi+ZtIWM3Ab95elrhHh1hfRERCUDFlIhIibKh4RiwFF8w5YqnfYDmkLlk1tQAh0bT2/CtV39l5+Lq3wHziYhUPRVTIiIlICqc9mBHa9N+wN6U2fVMMqOMHddgvRqAjN0L/Aj4IfB/rHDrgqUTEalCKqZkRGa2HbgdSOJvfHkFcKlzLjvGehcBJwA/wA8RvME59+URlp0PXOacO93M9gHmO+d+UGS5IeA7QO5b2Iedc8dO6sDGycwM+C/gpfiL3O8HznPO3Rm9/i7n3Ieifw8A1znn9pjG/R8EXAx0Rfv/DfAG59yGadzH2cBPnHOrR3j9/cD1zrn/m659yg42NDwIHBtNQ/hR8kQmIg28Kpq2krHfkSuuVrhbgyYTEakCKqZkNBudc/sAmNlc4Gv44ZDfN8Z65wBznHObx1iO6CT+9OjpPvgLsncppiK/ds49d6RtmVnCObdtrH1OwOuAw4C9nXMbzOw44LtmtrtzbhPwLuBD07Gjwuxm1gVcDbzAOXdDVNidhh+GedqKKeBs4A5gl2LKzOLOufdO476qng0NdwPH4IunY/AnwiLTJYkfgv4o4MNkbDXwY3yr1U9Z4R4PGU5EpBKpmJJxcc49ZGavBv5kZufjb8R5If7b9BTwCefcZ8zsu/huSX8wsw8Dy4CnnHMXm9luwKeBOcB24Izo8Tp8l6b3A3VmdjjwYefc18fKZWZfwl+Evi9ws5n9N/AF/AhmG4BXO+duizIvAOYBg8CbgUOA5+BbnJ7nnNtasPl3AEO5liDn3E/M7HfAi8xscZT1z8Cd+BasuJn9L74Aux842Tm30cwWAZ+IjnsD8Crn3F2F2YG35O37dcAVzrkbon074JvRMbePcoxPOecujpa7A8gVnz/Et2w9nQ04EV+8ftXMNuKvy/hrtO3jgMvN7Hh8i9s3zWx/4BKgEXgYONs594CZvQE4F996+Rfn3AvGeNuqhg0NN+F/R3IF1O5BA0m1mQ+8LJq2k7Ff47+k+RYr3JqgyUREKoSKKRk359y/zCwGzMWfjD/hnDvQzFLAb83sJ865k8zsqbwWrfPzNvFV4ELn3LVmVosvyOZG295iZu8FDnDOnTdChCOi4gXgaufcf0f/HgSOdc5tN7OPA7c4504xs6OBL7PjZpqLgGfirze4ATjNOfd2M7sWX1h8O7cjM2sGGpxz/yzIcCOwu3PuzWZ2Xt5xDuCHpV7hnHuVmX0D35L0FeCzwLnOub+b2cHAJ4GjC7MX7GcPfLfKYi4Y5RhHsks259xXzOw84K3OuRuj4wDY5Jw7PHp+fPSYBD6OLxDXmtlZwH8DLwfeCSxwzm02s9YxclQ0GxpO4ovSXPF0EPo7K6Uhji/sh4CPk7HrUWElIjJl+k9eJsqix+OAvcws10WvBX/CXnRkKTNrAnqcc9cCRN3kcifv4zVSN7+r84qRw4mGFXbO/dzMOsysJXrth865rWZ2O/7E4kfR/NvxNy4dD8Nfv1TMv51zuWLvJmDAzBrxrUFX5x1raoTs4zXaMY5kl2yjLFusRXAJvsD7aXQcceCB6LXb8K1b3yavIK0WUQF1LHAm/ksGXfckpS7GroXVN4BrVFiJiEyMiikZNzNbiO+W9xC+qHi9c+7H4119xoLB+jH2kyt+NgM457JmtjXqOgeQpeB3wTn3pJmtN7OFzrl/5b20H/CrEXLkXyO2HX9jzhjweK4Fa4zs+e7Ej+r2nSKvjXSM26L95dSOkW0kxTIZcKdz7tAir50IHAmcBLwnuqZsOq9dKzlRAXUMvoA6BRVQUr5GKqy+oXtaiYiMLTb2IiJgZnPw1ztdHhUhPwZeE3X/wswGzWzEIZydc08C95nZKdHyKTMrvMnmOvwAC1NxPfCiaB9D+FH/npzkti4CLjOzumh7x+Jbhb4Wvb41d/wjifb9bzM7I9qGmdne49j35cBLo26BROu+2My6GfkYV+KLPcxsP/w1YmMZ78/8bmCOmR0abT9pZrtH3T7TzrlfAG8HWvHXVFUcGxpO2NDw8TY0/HngQfx1aC9DhZRUjji+K/SngNVk7CoydhwZ07mCiMgI1DIlo8kNsJAbGv1K/AAEAJ/DdxW7ORppbi3+G/rRDAOfiYbb3oofgCJ/mPVfAO+M9jmuASiKOB/4opndhh+c4aWT2EbOx/EnyrdHw8Q/SDSoRPT6Z4HbzOxm/AAUI3kR8Ckzezf+Z3kVMOqQxc65NWb2AuDiaCTFLL6IuoaRj/FbwEuin9+fgL+N4xi/BHw6bwCKkfJsibp0XhZ1KUwAl0b7+Eo0z4CPOlc5I4bZ0HAC3wJ1Bv7z3RE2kcisSQFnRdMqMvYl4IuscKuCphIRKTG2o6eTiIhEBdTR7OjCpwJqehzlfnnl9dOxoZP2t9fjr9F8uhva8w9k8OyjWDEd25cROeBnwOeBa1kx9u0vREQqnVqmREQAGxrO3fz0lfgh9EVkZ8aOm0w/Rsa+CnyWFe72sLFERMJRMSUiVcuGhmPAs4HXACfgrxkRkbG1AecB55GxXwAfBa5jhbq7iEh1UTElIlXHhobnAq/At0SNZ6AOERnZM6Pp72TsMvy1VSONVCoiUlFUTIlI1bCh4SHgXOBUoCZsGpGKsxg/cM8HyNjngI+zwt0TOJOIyIxSMSUiFc2GhlvxIx6eAywLHEekGrQCbwXeRMauBT7KCve7wJlERGaEiikRqUg2NHwg/lqos4DCe5qJyMyLA6cDp5OxPwD/zQr3vcCZRESmlYopEakoNjT8LODdwJGhs4jI0w4GvkvGbgY+AHxHg1WISCVQMSUiFcGGhp+Hv3nywaGziMiI9gOuBW4lYx8ArlFRJSLlTMWUiJQtGxo24DR8EbVP4DgiMn57A98EbidjHwS+yQqXDZxJRGTCVEyJSNmxoeE4sAL4T2B54DgiMnl7Al8H/hIVVV9XUSUi5SQWOoCIyHjZ0HDShoZfAdwFXIkKKZFKsRz4GnAHGTsldBgRkfFSy5SIlDwbGk4BrwTeDvQFjiMiM2cZcC0Zux54GyvcH0MHEhEZjYopESlZNjRcj7/J7luBeYHjiMjsORL4PRn7OvCfrHArA+cRESlKxZSIlBwbGo4BLwPeD8wPHEdEwjDgBcCpZOxy/H2qHgucSURkJ7pmSkRKig0NHwfcAnwOFVIiAingLcA/yNibyFhN6EAiIjkqpkSkJNjQ8J42NPxj4MfAXqHziEjJaQcuAf5Kxk4PHUZEBNTNT0QCs6HhecAHgbPRFzwiMraFwNVk7CfA61jh/hE6kIhULxVTIhKEDQ3XAG/G33C3MXAcESk/x+Fv+nshcCEr3ObQgUSk+uhbYBGZdTY0/DzgTuDDqJASkcmrBc7HF1XHBs4iIlVILVMiMmtsaHgpcCnw7NBZRKSiLAZ+SsauAt7ECvdg6EAiUh3UMiUiM86GhpttaPgS4DZUSInIzHkBcBcZO4+M6RxHRGac/tCIyIyyoeHjgTuANwHJwHFEpPK1AB8H/kjG9g0dRkQqm7r5iciMsKHhNnyXvpeEziIiVWl/4A9k7IPAh1jhtoUOJCKVRy1TIjLtbGj4ZJy7ExVSIhJWErgAuIGMLQ8dRkQqj1qmRGTa2NBwJ3A5cBZmoeOIiOQcANxExt4DXMIKlw0dSEQqg1qmRGRa2NDwWTj3F+Cs0FlERIqoBS4CfkXGFoUOIyKVQS1TIjIlNjTcDXwSOFWtUSJSBg4HbiVjbwc+xQrnQgcSkfKllikRmTQbGsHaPU4AACAASURBVH5J1Bp1augsIiIT0AB8AvgJGUuHDiMi5UvFlIhMmA0N99rQ8PeBKzBrC51HRGSSjsW3Up0cOoiIlCcVUyIyITY0fHY0Ut8JobOIiEyDNuDbZOyjZEz3whORCVExJSLjYkPD9TY0fAXwRcyaQ+cREZlm/wH8howNBM4hImVExZSIjMmGhpfj3I3ovlEiUtkOAm4hY6eEDiIi5UHFlIiMyo568Utw7kbMloXOIiIyC1qBa8nYpWSsJnQYESltKqZEpCgbGq6zI190BWZXYFYXOo+IyCx7I77b34LQQUSkdKmYEpFd2NDwErLZW4jF1K1PRKrZgcDN6vYnIiNRMSUiO7GjXvxCnLuFWGxJ6CwiIiWgFbiGjJ1PRncmF5GdqZgSEQBsaLjWjnzhFzD7qrr1iYjsxID3Ad8gY/Whw4hI6VAxJSLY0PBuZLffRCz+stBZRERK2On466jSoYOISGlQMSVS5eyoF5+Jy95KLL48dBYRkTKwL/AnMnZY6CAiEp6KKZEqZUPDZke+8GLMvo7F1G1FRGT8uoBfkLGzQwcRkbBUTIlUIRsarmX7tu8Ri78ldBYRkTJVA3yRjF1CxuKhw4hIGCqmRKqMHX7WXLZtvZF44sTQWUREKsCbgOvIWEvoICIy+1RMiVQRO/iUfbHYnSSSu4fOIiJSQY4HfquBKUSqj4opkSphBzz3DFL1vyOe6AydRUSkAu0O3EDG9gwdRERmj4opkSpgB570nzS0XEUsXhs6i4hIBesBfk3GhkIHEZHZoWJKpIJZZ9rs4FOuoKHlQ1hMv+8iIjOvBfgxGTsrdBARmXk6uRKpULbv8bUsPvBX1DW9JHQWEZEqUwN8jYy9NnQQEZlZKqZEKpDtf8I86pruINVwROgsIiJVKgZ8goy9L3QQEZk5KqZEKoztf8J+1DXdTk3totBZRESE88nYx8mYhQ4iItNPxZRIBbH9TziR+pbfkKjpCJ1FRESedh7wVTKWCB1ERKaXiimRCmF7P+sFNLReQzxRFzqLiIjsYgVwlQoqkcqiYkqkzFln2myPodfRMufLxOI1ofOIiMiITgO+TsaSoYOIyPRQMSVSxqwzHWfuwLtp77mUWFz/OYuIlL7nA99QQSVSGVRMiZQp60yn6Ex/hM6+9xKLqduIiEj5OAW4WgWVSPlTMSVShqwzXUdn+nK6FpynQkpEpCydDHyTjKl7tkgZUzElUmasM11PZ98n6VrwMiwWD51HREQm7STgWyqoRMqXiimRMmKd6Qbm9H+GroGXqJASEakIzwWuIWOp0EFEZOJUTImUCetMNzKn/3PMHXghFtPvrohI5TgRX1CphUqkzOiETKQMWGe6ibkDX2TuwFmY6fdWRKTynAB8hYz+xouUE/3CipQ460y30LXgy8zpPw0zC51HRERmzBnA5aFDiMj4qZgSKWHWmW5l7oIr6Ow7WYWUiEhVeA0ZuyB0CBEZHxVTIiXKOtNttPd8mjl9z1MhJSJSVd5Lxl4fOoSIjE3FlEgJss50O81zPkr3otN0jZSISFX6GBlbETqEiIxOJ2kiJcY6053UN19Iz5IzdUNeEZGqZcAVZOz40EFEZGQqpkRKiHWm51BT93769jiLeKIudB4REQkqib+p7yGhg4hIcSqmREqEdabbiCffzcBep5OoaQ6dR0RESkI98H0ytjx0EBHZlYopkRJgnekGLPZmFuz9fGrq5oTOIyIiJaUd+BEZ6wodRER2pmJKJDDrTNcAr6F/zxXUNvaGziMiIiUpDXybjNWGDiIiO6iYEgnIOtNx4Gx6l59NY9ui0HlERKSkHQJ8PnQIEdlBxZRIINaZNuB0uhe9ita5u4fOIyIiZeGFZOzdoUOIiKdiSiSc4+hMv46O3gNCBxERkbLyfjJ2WugQIqJiSiQI60wfQkvXm+laeBhmoeOIiEh5MeDLZGy/0EFEqp2KKZFZZp3p5dQ3v4OewaMwi4fOIyIiZake+C4Zmx86iEg1UzElMousM91PPPk20nscSSyeCp1HRETKWg/wHTKmm7yLBKJiSmSWWGe6C3gr/XseQbKmPXQeERGpCAcAXwodQqRaqZgSmQXWmW4B3sL8wQOob9YQ6CIiMp3OJGNvCh1CpBqpmBKZYdaZrgPeSGv37rTNOzh0HhERqUj/Q8YODR1CpNqomBKZQdaZjgFnU9uwO/MXPxPT0H0iIjIjksA3yFhn6CAi1UTFlMjMOpZY/Bn073kEsbguEBYRkZnUC1xJRl/cicwWFVMiM8Q600uBF9K/554ka+eFziMiIlXheOC/QocQqRYqpkRmgHWmO4Hz6F7US0PrXqHziIhIVbmAjB0dOoRINVAxJTLNrDNdA7yW5s55dPQOhc4jIiJVJwZ8jYypV4TIDFMxJTKNrDNtwAuoqV1Gz9JnYRYPnUlERKpSF5Aho/+HRGaSiimR6XU4Zs+if69DiSeaQocREZGqdhTwgdAhRCqZiimRaWKd6QXAy0jvPkiqvj90HhEREeAdZOzI0CFEKpWKKZFpYJ3pFuANtM1ro6njoNB5REREIjHgCjKm3hIiM0DFlMgUWWc6AbyaRE0b3YuOQbf3EBGR0jIAXBo6hEglUjElMnUnA3vQt8d+uk5KRERK1MvJ2EmhQ4hUGhVTIlNgnen9gZOY099AffOeofOIiIiM4n/J2NzQIUQqiYopkUmyznQ3cA6p+qeY03dC6DwiIiJjmAt8NnQIkUqiYkpkEqLrpF4JbCO9/Fhi8brQmURERMbhZDL2stAhRCqFiimRyTkO2I3uRb3UNg6GDiMiIjIBl5Ix3cJDZBqomBKZIOtM9wFnUNf8FO09zw6dR0REZIKa8cOl6zxQZIr0SyQyAdaZTgHnAOvpXfZcYrGa0JlEREQm4Sjg3NAhRMqdiimRiXkeMJ+eJYOk6tRFQkREytmHyNi80CFEypmKKZFxss70YuC5NLZvorXr6NB5REREpqgF+FjoECLlTMWUyDhYZ7oeOAeLPUnPklOwWDx0JhERkWlwBhnT7T1EJknFlMgYrDNtwBlAG73L9iaZ6g6dSUREZBp9kozVhw4hUo4SoQOIlIE9gKNpbN9Ac+fhocPIDLr7BnjkPkjWwoHP2zH//rvg/rvBYtDeA4v2K76+y8LNP4SaetjzmX7eX38D6x/36y3c189bdRs0tEFnemaPR0RkfPqBC4C3hQ4iUm7UMiUyCutMNwOvAh5m3uITMA0jW9G6FsKeBZfDPfYgPHwfHPBcX2Cll4+8/n13QX3LjudPPeYfD3guPPEQbNsCmzfAk4+okBKRUvMfZGzv0CFEyo1ODEVGEHXveyFQR9fChaTq+kJnkhnW2gXJ1M7zHvgb9O0OucvkamqLr7t5PTy6Grp32zHPYpDdDs75ViszWHkbDOh8RURKTgL4jO49JTIx+oURGdkBwGEkU4/S0XNc6DASyIZ1vlXp5h/Cn38CTz5cfLl/3OS78VnevIYWSDXATT+AOf2wcR3goKl9NpKLiEzUwcBrQocQKScqpkSKsM50G/By4EF6lh5DLK4Lc6uVy/ruefseDwv3g7/+2rc05XvkPt9i1dSx6/q7HQAHnOi7B/77Vt8qtep2+Mv18MDfZ+cYRETG70NkrCt0CJFyoWJKpEDUve9MIE7L3DYaWkcYbUCqQqreX99kBs2dgMHWzTsv88Raf13V76+Fv/wGHn/QDzyR7+F7fbG1fZsfkGL5kbDm3/65iEjpaAY+GDqESLlQMSWyq6XAYWAPpLoWHYWZjbmGVK7ONDy2xv97w5O+parwuqqF+8Khz4dDToXlh0NrNyzLG/gxm/UjAqaX+2uoch+p3LVUIiKl5eVkbK/QIUTKgYopkTzWma4BzgYem99/4H5L2hYv7KFupTm3NXA0mQ1/+TXc8iPY+CTccA088A/oXgSb1sGfvue7+C05zBdDmzfA7T8f33ZX3+1HCownoKHVF1E3XgctcyBRM7PHJCIycTHgI6FDiJQD3WdKZGfHAl3JmoYH2+cuPtosFu9s7Bpo3bZl3eoNa9Y8FtveGzqgzKDlRxSfv6zI7cVS9bsOow6+Vaq14L7Ovct2/Nts5P2IiJSOY8nYc1nhrgsdRKSUqWVKJGKd6bnA84HVvQsPG4rHk08POpFI1DT1Nad7FyfaH0hleSxcShERkVlzERnTF+8io1AxJcLTg06sALY1tsxvbmqZf2Cx5eprm+ctaepr6aV+ZSzrtsxuShERkVm1FDg3dAiRUqZiSgSoi9UclrLEi2JYsqf/oOPNRr5poVks1tE4d2B5fc+W9mzi3tnMKSIiMsvOJ2OtoUOIlCoVU1L1WroHUwmLnZqMxe/r7Fx0TG1966LxrBdP1DSmm3vTg8mOB2uzPDLTOUVERALoAN4TOoRIqVIxJQLPNLOOeDx559z+A5onunJdqql7sKm/LW31q2JZt3nsNURERMrKeWRsXF80ilQbFVNS1Vq6B9uB04AH2tP77B9P1rZNZjtmFmtvmNu/vKF3e0c2cQ/OTW9QERGRcGqAD4UOIVKKVExJtTsVIBZPZhvb+6c8XnU8nqzvbe7tW1IzZ01dloenHk9ERKQknEHG9gwdQqTUqJiSqtXSPbgIOAJ4oL137wNi8WTjdG27NtXYtbipv6PfGlfFs27TdG1XREQkEAPeFzqESKlRMSVVqaV7MA68CHgqFq+JN7T3Fbkr69SYmbU2dPYva+jNdrqkuv6JiEi5ez4Z2zt0CJFSomJKqtWBwCLg4fb03gfE4smGmdpRPJ6s72nq6Vuamru2fjtrZ2o/IiIiM8yA80OHECklKqak6rR0D9YAZwEPxeI1yYa29DNmY7+pmoY5uzX3dw7Emu6JO7dxNvYpIiIyzU4hY/uGDiFSKlRMSTU6CGgD1ren9zloJlulCpmZtdR39C2vT9scl1yFU98/EREpO+eHDiBSKlRMSVWJWqVOB9bGEqmahrb0YSFyxOKJ2vlNPf1LU12PNGR5KEQGERGRSTqJjO0fOoRIKVAxJdXmEKAFWN+R3uegWDxRHzJMqqa+c1FT/9wFsaZ7Elm3IWQWERGRCbggdACRUqBiSqpGS/dgCn+D3rXxZG1NfWtvkFapQmZGc31H37LGdLzL1ajrn4iIlIMTydhBoUOIhKZiSqrJoUAzsKG9d5+DY/FEXehA+WKxRKq7aX7/slTXo43bbU3oPCIiImN4T+gAIqGpmJKqELVKPR9YG0/WperbekqiVaqYmpr6jkUt/V0LY833JrJufeg8IiIiIziRjC0NHUIkJBVTUi0OAxqBDe3pfQ6OxRK1oQONpam+Pb2ssS/Z7VKrcC4bOo+IiEgBA94UOoRISCqmpOK1dA/Wkt8q1dpzaOhM4xWLxWu6mub1L6/tfqIpG3sgdB4REZECLyFjc0KHEAlFxZRUg2fgW6U2dqT3PTQWi5d8q1ShZLKubWFz37yF8Zb7klnWhc4jIiISqQVeGzqESCgqpqSitXQP1gGnAg/FEqmautb5h4TONBVNdW29SxvTtfNcaqU5tz10HhEREeB1ZKzsvqgUmQ4qpqTSPQNoADa2zd99r1gsngodaKpisXhybtO8gWW189Y1Z2OrQ+cREZGqNwcYDh1CJAQVU1Kx8lql1gDUt/VW1P0wksna1gXNffMXxVvvq8m6J0PnERGRqvYmMmahQ4jMNhVTUsmOAOqATU1zFg0kknUVeYFsY11r79LG/vr51K40l1XXPxERCWEZ8JzQIURmm4opqUgt3YP1wCnAQwBNnQsrqlWqkMViiTmN3QPL63qeasnG7g+dR0REqtJbQgcQmW0qpqRSHUzUKlVT39ZcU9+2JHSg2ZBIpFoGmvt6dku03V+T5YnQeUREpKocTcb2Dh1CZDapmJKK09I9GAdOBB4GaJ23/AAzq6rPekNtS8/Spr7GHupWmnPbQucREZGqcU7oACKzqapOMKVqLAE6gPUWi8frmrv2Cx0oBLNYvLOxa2B53fwNrdnYfaHziIhIVXgRGasPHUJktqiYkkp0HLABoHXe8uWxeLIhcJ6gEolUc39zX+/iRPvqVJbHQucREZGK1gycGTqEyGxRMSUVpaV7cC6wN1EXv4b2/ooeeGIi6mub5y9p6mvupW5VLOu2hs4jIiIV61WhA4jMFhVTUmmOALKAq2/rnZdMNfSGDlRKzGLxjsau/mX1PZvbs/F7Q+cREZGKdBgZWx46hMhsUDElFaOle7AWOJboJr0tcwfVKjWCRKKmMd2cTg8mOx6szfJo6DwiIlJx1DolVUHFlFSSfYFaYEsi1ViXauzYI3SgUleXauoebOprTVv9qljWbQmdR0REKsYwGUuFDiEy01RMSUVo6R404ATgcYDWecv3M4slwqYqD2axWHvD3P7lDb1bO7IJdf0TEZHp0AE8P3QIkZmmYkoqxUKgF3gCzOpbew4IHajcxOPJht7m3vSSZOeauiyPhM4jIiJlT139pOKpmJJKcQywGaCle8lgPFHTGjhP2apNNXYtbupv77OGVbGs2xw6j4iIlK0hMrZb6BAiM0nFlJS9lu7BNuBg4CGAhva+fcImKn9mZm0Nc/qXN/Ru78wm7sG50JFERKT8GPCS0CFEZpKKKakEh+D/YGfjybpUTV3L4tCBKkU8nqzvae7tW1Iz56G6rL93l4iIyAScFTqAyExSMSVlraV7MAk8B1gL0Nw1uNQsFg+bqvLUphrnLm7q7+i3xlVx5zaGziMiImVjkIztFzqEyExRMSXlbg+gCdgIUN8yT8OhzxAzs9aGzv5l9WnmZJOrcOr7JyIi46LWKalYKqak3B0PrANI1DTUJWubFgbOU/Hi8UTd/Oae/qWpuQ/XZ+2h0HlERKTkqZiSiqViSspWS/fgHGAx8ChAc9fgMrOYPtOzJFXTMGe3pr65A7Gme+LObQidR0RESlY/GTs0dAiRmaATTylne+U/qWvpVhe/WWZmtNR39C1vSMfmOnX9ExGREb0gdACRmaBiSspSS/egAc8EHgdI1jY1JFNNA0FDVbFYLFE7r6mnf1mq69GGrK0JnUdERErOGWRM551ScfShlnLVBfQATwI0zx1cbmYWNpLU1NR3LGrq61oQa743kXXrQ+cREZGSMQ84MnQIkemmYkrK1d5ANvekrlld/EqFmdFc355e1tiX6HI1K3EuO/ZaIiJSBdTVTyqOiikpO3ld/B4DqKlrbUqkGvrCppJCsVg81d00f2BZbffjjVl7MHQeEREJ7jQypntBSkVRMSXlaD4wF3gKoHnu4t3Vw6901STr2hc193cvjLfcm8y6p0LnERGRYDqBw0KHEJlOKqakHO0LPD1qXG1zl7r4lYGmurb00sa+mm6XWqWufyIiVevE0AFEppOKKSkrURe/o4juLZVq6GhNphp6wqaS8YrF4jVdTfP6l9fOe6IpG3sgdB4REZl1J4QOIDKdVExVGDNzZnZl3vOEma01s+smub2TzOyd05dwytJAB7AeoGnubruHjSOTkUzWti1s7pu3KN56XzLLutB5RERk1uxJxtKhQ4hMFxVTlWc9sIeZ1UXPnwXcP9mNOee+65y7cFqSTY/9yB/Fr2muuviVsca61t6ljenaedSuNJfdHjqPiIjMCnX1k4qhYqoy/ZAdf6hWAJncC2bWYGZfMLM/mdktZnZyNP/NZvaF6N97mtkdZlZvZmeb2eXR/C4zu9bMbo2mw/LWvSOa/mOmDqqlezCGv0fFI+C7+CVq6rtnan8yO2KxeHJuY/fAstr5TzVnY6tD5xERkRmnYkoqhoqpynQV8AIzqwX2Av6Q99p/AT93zh2IH178IjNrAC4FdjOzU4EvAuc45zYUbPcy4FfOub3xLUR3mtn+wMuAg4FDgFeZ2b4zdFz9QCuwEaCxo3+3GdqPBJBM1rYsaO6bv1u89f6arL8Zs4iIVKSjyVht6BAi00HFVAVyzt0GDOBbpX5Q8PJxwDvN7M/AL4FaoM/50dXOBq7EF0y/LbLpo4FPRfvY7px7AjgcuNY5t9459xRwDXDEdB9TZH/g6a5gqcbORTO0Hwmooa61Z2lTX/18aleac9tC5xERkWlXj/9CV6TsJUIHkBnzXeBiYAg/YEOOAac55+4uss5i/L2b5k9gP7Nyg6eW7sE4eV38zGKxmtrmBbOxb5l9ZrHEnMbugbZtm5+8f8ND6x6PbdeIjSIileVE/GUJImVNLVOV6wvA+51ztxfM/zHweovucpvrkmdmLcDH8AVLh5mdXmSbPwNeEy0fN7Nm4HrglOj6qgbgVODXM3A8C4FGYBNAQ0d/r8XiqRnYj5SQRCLV3N+c7lmcaFudyvJ46DwiIjJtdN2UVAQVUxXKOXefc+5jRV76AJAEbjOzO6LnAB8FPumc+xvwCuBCM5tbsO4bgWea2e3ATcDuzrmbgS8Bf8Rfm/U559wt035A/tqvp0fxq2+Zr+ulqkh9bcv8JU19TT3UrTTntobOIyIiUzZAxpaGDiEyVermV2Gcc41F5v0Sf30UzrmNwDlFlnl53r/vBXLFypeiCefcGuDkIuteAlwyxegjim7UewDwWG5eqr5N10tVGbNYvLOxa6B125Z1qzesWfNYbHtv6EwiIjIlQ8BdoUOITIVapqQctANdRDfqTaQa6+M19fPCRpJQEomapr7mdO9gov2BVHZHgS0iImXnqNABRKZKxZSUg5269DV2DCzMXfMl1auutnnekqa+ll7qV8aybkvoPCIiMmEzNfqvyKxRMSXlYF+igScAapvmaBQ/Afyojh2NcweWN/Rsac8m7g2dR0REJqSHjKnbvpQ1FVNS0lq6BxPAPuRdL1VT2zIQLJCUpHi8pjHd3JseTHY8WJv1w+eLiEhZODJ0AJGpUDElpS6NH31wK0BNXWtTPJlqDxtJSlVdqql7sKm/LW31q2JZtzl0HhERGZOum5KypmJKSt2S/CcN7X3q4iejMrNYe8Pc/uUNvds7sol7cC50JBERGZlapqSsqZiSUncg8GTuSW1j50C4KFJO4vFkfW9zb9+Smjlr6rI8HDqPiIgUtYCM6VYXUrZUTEnJaukerAMGyCumknXNapmSCalNNXYtburv6LfGVfGs2zT2GiIiMsvUOiVlS8WUlLL+6NEB1NS3t8QTqdaAeaRMmZm1NnT2L2vozXa6pLr+iYiUFhVTUrZUTEkpGyQqpAAa2noHwkWRShCPJ+t7mnr6lqbmrq3fztrQeUREBND9pqSMqZiSUrYfeV38Ug1tPQGzSAVJ1TTM2a25v3Mg1nRP3LmNofOIiFS5pWSsIXQIkclQMSUlqaV7sB7oA9bl5iVSjd3hEkmlMTNrqe/oW16ftjkuuQqnvn8iIoHEgL1DhxCZDBVTUqoG8F38ohNcs0SyTsWUTLtYPFE7v6mnf2mq65GGLA+FziMiUqX2Cx1AZDJUTEmp2ul6qdrmuR0WiycD5pEKl6qp71zU1D93QazpnkTWbQidR0SkyqiYkrKkYkpK1T7AE7kndY1z1ColM87MaK7v6FvWmI53uRp1/RMRmT0qpqQsqZiSktPSPZgE0sBTuXk19a3zwiWSahOLJVLdTfP7l6W6Hm3cbmtC5xERqQLLyVhN6BAiE6ViSkpRFztdLwWJVJNapmTW1dTUdyxq6e9aGGu+N5F160PnERGpYElgz9AhRCZKxZSUom4KPpuJmnq1TEkwTfXt6WWNfclul1qFc9nQeUREKpS6+knZUTElpWgBsD33pKa+rTkWT9QFzCNCLBav6Wqa17+8tvuJpmzsgdB5REQqkIopKTsqpqQULSbveqm65m61SknJSCbr2hY2981bGG+5L5ndcR80ERGZsn1DBxCZKBVTUlJaugfj+HtMPV1MperbVExJyWmqa+td2piunUftSnNu+9hriIjIGPYiY/HQIUQmQsWUlJpOIE5eN79ErQafkNIUi8WTcxu7B5bVzlvXnI2tDp1HRKTM1QH9oUOITEQidACRArsUThp8Yuat/dcfeOTeWzCM2uY5pPc6iVh8x5+HLRse597brmPblg3Ek7X07XMKNXXNbHrqEe655Vqcy9K75wk0tPXisln+9cevseDAs6iW+ywnk7WtC5J9res3Pn7/PVsfa9oSs+bQmUREytRi4F+hQ4iMl1qmpNT0sdOQ6I118USNTkxn0NZNT/Lwyj8yePgrWHLUOTjneHz1nTsts/qvP6Otd0+WHPlquhYfwYN3/xyAR+65mXlLj2Zg/9NZ+6/fA/Dwqpto692zagqpfA11rT1LG/vr51O70lxWXf9ERCZuMHQAkYlQMSWlZhB4+n4+GnxidjiXJbt9Gy6bJbt9K8naxp1e3/TUWho7FgDQ2DHAE2v+BoBZjGx2G9ntWzGLsX3rJp586G+09ew168dQKiwWS8xp7B5YXtfzVEs2dn/oPCIiZUbFlJQVdfOTktHSPWjAQuDx3LxUQ7uKqRmWrG1mzsJD+evPL8PiSZo6F9A0Z9FOy9Q1d/HEg3cxZ8FBPPHg3WS3bWHblg10DhzAPX/+Di67nd49T+DBv/+art0Ox8wCHU3pSCRSLQPNfS3rNz2x+p4tjzVsidESOpOISBlYHDqAyESomJJS0oa/+HRtbkaytqkrXJzqsG3rRp5cczfLnnke8WQtK2/+Fo/ddzttvTtuRD9/2bHcf8ePePS+W2ls7yNZ24RZjJq6FnY79CUAbF7/KNs2rSPV2ME9f/422WyWeYNHkWrsCHVoJaGhtmX+0lTT9kfWr1252m3odWb6uysiMjK1TElZUTc/KSXd5F0vBRBP/n/27jy+jrO+F//nmTNn0y5ZkiVZmzd5iRPbsZ1Q9sVQKJCWpYC6AG0JvXS7vf1RKHDd8mtuS+lCC5SWJeXC5dJCWQIphOwJWe0kjh3HsR3Hi/ajfTv7OTPz3D+OZEs6c6wjac7MnKPP+/XyC2lmzjxfBS3zPc/zfL+BWodiWTci45fhC9ZA1hKubAAAIABJREFU9ZdDKB5UN+1EdGpg0TXeQCU6D/4qdrzqVjTteB0AwOMNLLom9OLDaNrxWoxffho1LdejqevVGH7pEdu+DjcTQvHUV2zs3B1sidUYysDyryAiWrc68B/C53QQRPliMkVusgnAovVhHtXPpVEF5g1UIzo9CENPQ0qJyPhl+CvqF12jpWKQMpPnjl54HHWtexedj0z0whuohL+8DoaRhhBz+6l0zbavoxioqr+qo6q9dbtaN+Q3MOV0PERELqQA2LrsVUQuweUm5CZdAGLznwjF4xGKWulgPOtCee0m1DTvwvlHb4cQCoLVG7GhfT+GX3wYwZoWVG/sQmSiF6FzDwJCoKKuHZuue/OV10spMXLhMXTc+E4AwIa2G9F38keZcul73uLUl+VqZYGqlh3+Cn0yOtY7ZMRaDEWsv9KHRES5dQE463QQRPlgMkVusg1AeP4TX1ltFQsZ2KOp6zVo6nrN4mM7Xnvl45rmXahp3mX6WiEEtt7861c+D1TWo+tVHypInKVECMWzoWJjR7WWioRiI8OTit7mdExERC7BfVNUNLjMj1yhuqmrHEANgOT8MV+wusa5iIjsoaq+iraqtrYu74bhgIFJp+MhInIB2yr6CSGahBDfEUJcFEKcEULcJYT4sBDiJzmuv10Isduu+Mj9mEyRW9QAWNTk1Ouv4H4pWjeC/sqmrsqOmjZR1qsYMuV0PEREDuq0YxCRWf5yB4CHpZRbpZS7AXwSQM5KwlLKD0kpz9gRHxUHJlPkFtVYUnxC9ZVzZorWFSGEUlfe2LG7vDW9wVD7nY6HiMghrTaN8zoAaSnll+cPSClPAngUQIUQ4vtCiHNCiG/PJV4QQjwshDg493FECPFXQojnhBBHhRAb546/XQhxTAhxQghx//xxKk1MpsgtarC0kp83wJkpWpc8Hm95a1Vr2w5v/UjQwITT8RAR2WyTTePsAXA8x7n9AP4YwG4AWwC8wuSacgBHpZR7ATwC4Na5448BeJmUcj+A7wD4mJVBk7swmSK3qAdgLDzg8bIsOq1vAX/Fxu2VHXXtorxXMWRy+VcQEZWEKvyHcLqa71NSygEppQHgJMyXHqYAzO+tOr7gmlYA9wghngfwpwCuK2yo5CQmU+QWLQASCw8oqp/L/GjdE0KI2vKGjt3lrXq9ofZByuVfRERU/OxY6vcCgAM5zi18A0uHeQXstJRXfikvvOaLAP5ZSnk9gN8FEDB5LZUIJlPkFhux+BcXFI+3yqFYiFzH4/GWbapqbd/paxwNGhh3Oh4iogKzY6nfgwD8Qoj55XkQQhwC8JrcL8lLNYDBuY8/sMZ7kcsxmSK3aMSCmSlfsKZSCMXjYDxEruT3lzdur+zY0CEq+jxSxp2Oh4ioQJoKPcDcrNI7ALxxrjT6CwA+DWBojbf+NIDvCSEeBfjmV6lj015yXHVTlx9AGYCx+WO+YDX3SxHlIIQQNeX17ZV6TXwkOtI7JlLtYIdrIiotBU+mAEBKOQTgPSanvrbgmj9Y8PFrF3xcseDj7wP4/tzHPwbw4wKESy7EmSlygxosKT6hBiq5X4poGR6PGmyp2tSx0984Xm6IseVfQURUNFhOnIoCkylyg2oAi3bVq/5yzkwR5cnvK2/YWtne0KlU9nmkjDkdDxGRBWyZmSJaKyZT5AY1WPK9qHqDnJkiWgEhBKrLNrTvLm9TGqW3F5Jl/4ioqHFmiooCkylyg7qlBzyqn5X8iFZBUdRAc+Wmjl3+jZPlhhhxOh4iJ+kGsP8TwNv+LvO5lMCnvgt0/Qmw66PAF+42f93H/h247k8z1/zRNzOvS6aBN/8NsOdjwL/cd/XaD38NONFT8C9lPWpwOgCifLAABblBM5aURReKx+9QLEQlwecr27DV245wfKq/X5up0xRR7nRMRHb7/M+AXZuA2bm6l9/4OdA/AZz7e0BRgNGZ7Nc8cR54/Dxw6rOZz1/5aeDnZzP3OLAZuOtjwI2fAn7vjcBzvYAhgf2ddn1F6wrfVKWiwJkpcoMmLGnYy2SKaO2EEKgqq2vbVdGubpS+XkhpLP8qotIwMAH89CTwodddPfav9wN//s5MIgUAjSa7cwWARApIaZnZqLQObKwGvB4gngK0BT9FR74H/OWvFvTLWM+YTFFRYDJFbtCApcmU8PgcioWo5CiKx99U2dKxK9A0XWGIYafjIbLDH38L+NtuQFnQNODiKPDdo8DBTwFv+SzwUij7db/QBbzuOqD59zL/fvGGzOzWG68HhmeAm48AH3sbcOfxzExVS619X9M6U+l0AET5YDJFjqpu6lKRKUCRWnhcKApnpogs5vMG67ZWdTRt8VT3ew0ZcToeokL5ybNAYxVwYMvi48k0EPACz/wVcOvrgN/+avZrLwwDZweBgX8GBr8EPPgC8MhZQPUA//4HwInPAL96M/BPPwP+v7cCf/It4N3/lEmuyFJ+/IfgG6vkekymyGkVyJRFX1R5jDNTRIVTGaxt21nR7muSfi79o5L0+HngzmeBzj8C3vfFTEL0G18CWuuAd92UueYdh4BTfdmvveNp4GXbgIpA5t9b9gFHLyy+5l/uAz7wauDJlwCfCnz3j4D/dUfhv651iEv9yPWYTJHTAliSSEEoQiiK15lwiNYHRfH4NlY2d+wONM9UGorJYiei4vWZ92Vmlnq+AHznD4HXXwf8398HfuVgJrECMkUlupqzX9tenzmn6UBay3y8q+Xq+akI8JMTwPtfBcSSmWWEAkAibcuXtt5wqR+5HpMpclrWDJRH9XNWisgmXm+gdktVe/NWT82A10DY6XiICunPbgF+8BRw/ceBT3wHuP3WzPFnLgEfmlvy9+6bga0bM9fs/QSwtx14+4Gr9/jLO4D/+Q5AiMx+qmcuZ6699fX2fz3rAGemyPVYGp2clrU3yuMNcL8Ukc0qgjWtO/2V6fHYWM+wjLVJoXicjonICq/dnfkHADXlwE8/ln3NwS3A7R/OfOxRgK98KPf9/vE3r34c8AH3fsK6WCkLkylyPc5MkdM4M0XkEori8TZWNHXuCrREqg1l0Ol4iGjd4zI/cj0mU+Q0PzLLza9QVB9npogc5PUGqjur2jdt89QM+gzMOh0PEa1bnJki12MyRU7zYWky5fFxZorIBcqDNZt2VraXtSDQI6TUnI6HiNYdzkyR6zGZIqf5seT7UPF4OTNF5BJCKGpDRVPn7mBLrMbwcOkfEdmJe/vJ9ZhMkdMCABb1uVE8Xs5MEbmMqvqrOqraNm1Xa4f8BqadjoeI1gU+p5Lr8ZuUnFYBQF94QPGonJkicqmyQHXLjsr2yk0I9ggp2VmHiApJLH8JkbOYTJHTygAs2oshODNF5GpCKJ76io2du4ObErWGZ8DpeIioZPE5lVyP36TktHIsnZlSODNFVAxU1VfZXtXW2qXWhfwGppyOh4hKDp9TyfX4TUpOC2JJMiUUD2emiIpIMFDVvKOyvboNZb2KwaV/RGQZPqeS6/GblJyWNTNFRMVHCEWpq2js2FW2KVVnqP1Ox0NEJYHPqeR6/CYlpwWwZM8UAOlEIES0dqrqK2+ram27rrztZFDxvWTXuKOziNg1FhHZhgUoyPWYTJHTyrB0ZkpKJlNERU4Vnn3bg82btwY2PqJAzBR6vOOXMaIbi9ssEFHR43MquR6boZHTggBiS44xmSKygzQMIaEDMISELiAlAEOBNISEBKArgBQSEgKGkFIx9HSZkBCKosQUxZMQElIAUgBQhACkVBQIvTJY0yMgpKJW4Rd89T/f5ulLFfJLiaegT0UxWl+JpkKOQ0S2YjJFrsdkipzmQ9aeKeZS5C5SSghIXUgYWJB4CEAXgBSZ2dRM4gEYYi4BmUsyrvxT5r65FYgrCYjIfAwBCGX+YyEgACEgoGSuEQuOCSGEWHBcmT8mMq9UFhxTFny+8H89QgiBzIPKah9WypY53+EDRnbA8+I+hP0vaxvdA+DoKsfKS2gaQ0ymiEoKkylyPSZT5DqS2VRRk1JKkZnZMADoQmZmOnAlyZCGWJh0ZBKPhcdwjcRj/tz8x9mJx1zakUks5jKKzOeKEFeTEYEFCcd88nHtxMMz94+Wo6cTOz3+o7UQN1VKvWGrb2ZMCcSvK/SwPWMYur4NNxZ6HCKyDauDkusxmSKnZSdO62jP1ILEQwekoUhhiPnEQ8KYm/0wSTqkMZ9YXJ31EFJA4upxAeVqEiKuHBNXPr+SeChYlGTMfbw48VCEUOZSF0XJnFXmEhJlLiHxzH28MPHwOvnfl+xlGLpek5gd2u6vafBDea2QMt6FmL/KGw0IT/p6C4caA5B1vzMDGHo7UymiUrJ0GwCR6zCZIqcZyFTrWZhAmSZTc4mHPpdkzCcbBiCMzOwHJLBg1kNCKgIG5HxCASMzowEpriYecm6tk1wwm3FlqdVckoErCYkQUBbMeCxOQCDmEw5lfuZjLuHA1c89C45zxoNKgpRSlsWmxrf6Kmqryhra5o93Ifa0B8ZBVejNUGQIRw5X4bb7Zy0Y8iKANy49ePwyRnUDukfhzxNRiWAyRa7HZIqclpU4dYpgqt1TE1+QiCxMPPg9S+QiamQ8sc1b7qkrb2xYeLxOpp+phP7qSm/smBC4GZB+AAcAPGTBsCGzg4k09MkIRhqq0GLBGETkPCZT5Hp8MCWnSSzpI6EIAdXjDToUDxHlIZCMDm8Vqqe6oqlh6TlDi+mdSrodQqDaG5nf86ACOAhrkqkRZH53KMDicuihaQwxmSIqGUymyPVYJYWcljUzpRv60ia+ROQS3lR8vCsZD93or26q9pVnJVIA0JgaTipCNALS8CvpnfMvRWZmas3uPC7TAPoAVCw91zNmPmtFREWJyRS5HpMpctr8nqmrBwxdz3EtETnEk07ObE5E+w96K+rr/ZXNua4TkZ5EZ7C+DADKPInTQqB+7pQXmZkpq5yDSTJ1uh9DFo5BRM5iMkWux2V+5CgVolZAbJvLpgQAkUyGNzkaFBFdoeipaEs6Nd7qr2pTvEr1ta41UuHk3kClb/7zGl9kasFpL4CtOHK4BrfdP21BaJdgUrjl+GWMajo01cO/b0QlgMkUuR5npshRZVCNIBQRgKIHoCQDUOKK5C9PIscZWrIpHu45KPy+9kBNhyKUa/69MKQu27Rpw+/xXrmuzJPoWHDJfJJl1eyU6QxUWocxGcWIRWMQkbP4PECux3fuyFEeIUYA0Q8gOX/Mp/oSsGhvBRGtjDQMrT4ZHdzsq2z0BWs7831ddXx0oDlYfaUselKfDguBzvm7ZjoNAMj8bN9vQaijyCwTzipCMTSFocYqcIabqPgxmSLX48wUOS2NJd+Hmp5OORQL0bolpZTViXDfAQPxHcHaDp9HzbuipkjNjm8LBFsXHlPEROTqBXLhz7QlM1N3HpcachShuDzKfVNEJYLJFLkekylyWgpLvg+TqVjcoViI1qXyRGRgr6ZNXxeobQ+ovsqVvNYwNL0LSY9HKIsKyWzw64Grn1mfTM05CyArXhahICoZYacDIFoOkylyWtbMVDIV5TtRRDbwJ2PDu1PJ0b2BmtYKb7B2NffYmBwbqPT6F702pUdTDf5AzZUDQqYXnO7EkcN1q4s4y2WYFKE40YMxTQdbLBAVtxl0L/rdQeRKTKbIaVnJVCwZZjJFVEDeVGK8KxkfOuCvaqrxlTeu9j5qYnKoI1DesfR4Wg7HFCGuzlSJrAciK4tQGEsPagbkRATDFo1BRM4YdToAonwwmSKnpbGkz1QyFU1KaWQ9IBHR2njSyZnORLT/oLe8vt5f2bKWe0k9mdipStNS6dW+1OK/LUIunSWyKpkaRabxd9bs1NAUl/oRFTkmU1QUmEyR0+IweRDSDY2zU0QWEXoq1hqP9B5Sg5Utgeq2hZNGq9WanhwPeLzlS49rRkpvDQYXFYUQBUqm7jwudWSW+rEIBVHpYTJFRYHJFDltBplmnovoOpMpojUztOTGeLjnkPB724PL94rKVzA+2tfsL281O5fUR2e9ime5mSkrWx+cg0kRiudZhIKo2DGZoqLAZIqcNgWTZErT00ymiFZJSkOvi4d7D0qPsTVY26kqnqyfsVVLx8I7fN6mXKfL1Ej2QWEsTabaceRwg0UR9cDkb9mJHoyndXDzOlHxGnM6AKJ8MJkip83C5PtQ01NMpohWSEopq+Lhvht1GdsZrO3webx594rKhyF1ucUIx1XF4zM/b8jWMl/WkjsIqZtcbmURCpkdC+REmEUoiIoYZ6aoKDCZIqfFYFaNi8kU0YqUJyKDezVtak+wtj2o+lfUKypfNfGx3jpfMGf1P92YGilTvVmzYAZMC8pYtdRvDIAOFqEgKjVMpqgoMJkip8Vg8q6ypjGZIsqHPxUdmesVtanCG7Sqf1MWJTU7sS0QbL/WNQHPTNLsuCZ1s781VhahuASTIhSXWISCqJgxmaKiwGSKnGaaNKW0BJMpomtQ0/HJ7cn44AFf9ca19IrKhzQ0rUskFUWIa/7NaAigxuy4JnXV5LBVy/yAHEUoTvUxmSIqYkymqCgwmSKnxbCkzxQApNNMpojMeLTkbGci2n9Iraht8FdusmPMxuTYYIXqr73WNZoxO1np9Zr2nUpKzWyP1SYcObzRkgBzFKE41YeJlIaURWMQkb1GnA6AKB9MpshppslUMh1nMkW0gNDTsU3xSO8hT7B8rlfU2ptF5cGbmBzqCJR3LHedKqZmc51LGVogxyk7ilCELBqDiOwTQbccdzoIonwwmSKnJeb+d9GDYTIVZTJFBEAYeqoxHu45JHxqR6ZXVFahhUIx9GR8hypNl+4tVefXshr4ztOlkStmq5KpcQBpAFnLCQdZhIKoGF12OgCifDGZIkf1hE4bAKJY8hAUjk3MOBMRkUvM9Yo6IBVtW6ZXlGk58kJqT09OBjzesuWu04x4tM7nzd03ShhZs0ZzrCpCYSDz8GVWhIIzU0TFh8kUFQ0mU+QGs1jSuDeWmI3phmZaGYyolEkpZVUi0r9fl9G5XlHLJjOFEIyP9jX5y/PakyUwMX6tVYdS5MqlLCuPDgBnYZJMnerlzBRREbrkdABE+WIyRW4wgyXJFACk04kpB2IhckxZIjJ4g6ZN7gnUtAVVf5VTcch0bHaHz9uU7/U1vmTWz+9CwrxpLwA048jhlhUFl1svTPZfPt+PiZQGvjFDVFyYTFHRYDJFbpA1MwUAyXR80oFYiGznT8VGdqUSI/sCNZsqvcENTsZiSF1uM8KJfJcV6kY61eBXr1mVT1GgXeO0lUUoskgAY7Nc6kdUZJhMUdFgMkVuMAWzZCoVZTJFJc2bTkxsS8YGD/iqNtb6KqwqE74mNYmx3lpfMO++VVJOjHqUaxfFEEIa1zht1VK/CeQoQjHEIhRExYbJFBUNJlPkBsMAst4FjyXDXOZHJcmjpWY7EtG+g2p5XaO/ypZeUflQkrPj2/zB9pW8psIbzbkh6gohr1XG3coiFBdh0rz34giTKaIiIpHpHUdUFMy60hPZbRJA1jvX0fg0Z6ZsMB0ewQNPf/PK57PRcRzc9Uu4fttrrxwbGnsJ9xy9HVXlmRVonS034MDONyOejODeo7cjlY7j0O63orPlBgDAPU9+Da/c9x6UB017uK5bQk/HmlPJsbZAVatHLXNsT5QZaWhal5JUFeHP+002Q+pGY8CTu4rfvNwFKABri1CcA7ATmdnuK072Yuh9L7dwFCIqpGF0y7jTQRDli8kUucEUTBpuzkbGOTNlg5rKjXjX6z8GADCkgW//7M+vJEULNW/Ygje//HcXHbs4cBxd7Tdha+uN+NkTX0Znyw3oDZ1GfU0rE6mFDD3VmIwNdfqrWtRgcNkGuE5oTI4NVuTRnHch3Zga9Xs8yxaqENdOpjbiyOFW3Hb/wErGzqHX7OCZQUwlNST8KnI1DyYi9+ASPyoqXOZHbjAJk+/FcHR81pBGripgVABDo+dRVV6PyrK6vK5XhAe6kYZhaBBCwDB0PH/xYezd/oYCR1okpKHXOtwrKh9qYmKoY4WJFAAEPbN5VslbdiVgQYtQACxCQVREmExRUWEyRW4QB5DAkplSCSnTWpKzUza6MPAstrbeaHpuZLIH33/gs/jZE1/G5GzmuXRb2wH0j5zDXU98GQd2vhlnLj+GrraboKquzBlsI6VEZSLcv1+X0V3B2g6/Q72i8mHoyfhOFTWreW1DQNTmc90yM1OAdcnUBIAkTAraDE5y3xRRkXjB6QCIVoLJFDmuJ3RaAggBCC49l0rHmUzZRDc09A6fxpZN+7LO1de04dfe/Gm8+w0fx3VbXoV7j94OAPB5g3jLy38X73zdR1Ff04be4RewedNePPLsd3Dfsa9jZGL9NbEPJqODN2jaxPWBWkd7ReWrPT01GVhFspfWZyYqvGp+X5/I7v+0hFVFKCQyRSiymveyCAVR0TjldABEK8FkitxiCCbJFMuj26d/+Czqa1pRFsh+PvZ5A/CqfgBAe9N1MKSBRDKy6Jrj5+7G/h1vwoX+46ivbcVrbvw1PHXmJ7bE7ga+ZGx0Zyoxst9f7XivqHwF46O9Tf6yVVUT9CpT4XyvFdeu5gdYW4TiLEySqZO9TKaIigSTKSoqTKbILfqB7M3h8WSEM1M2uTBwHNtyLPGLJWYhZWap1uhkL6Q04PeVXzk/ExlFLDGLlvpt0PQUxNyvFl2/Vq/W0qCmE5PbErHBg/6qxjqX9IrKSzo6u8PnbVntyzf49ayEJRexXCoF1OPIYasKc/SbHTw3hOlEGqwQRuRuk+iWg04HQbQSrOZHbjEOk13qsfgMZ6ZsoGkpDI6+iFfvf++VY2cuPwYA2L35lbg0eBJnLz8OIRSoHi/ecOiDEAuekJ8+81Mc2v1WAJl9VPcevR2nL/4cB3a9xd4vxEaKlppt09LTzf6qNsUr8qvY4RKG1OV2I5JQ1eCqliFqejxS6/PW53t9ZmZq2YzqIHJU41uhIeQYbGwWQ20bsNWCMYioMJ53OgCilWIyRW5hWh59OjIy5kAs646q+vCBt31m0bHdm1955eM9W1+NPVtfnfP1h2/6rSsfB/2V+OXX/A/rg3QJoafjzanEaFug2nW9ovJVmxjrrQ2Uda729YqYmBBCrGRmavm5qcxSvx+sNqYFJpEpauMFkF54YnASISZTRK7GJX5UdLjMj9xiEibvJk+HR6Z1XUs4EA/RYoaeboiHew8Jr9IZrO3wCMXjdEirIZKz41v9wfa13KPGl8yqlnfNMUVef2usLEJxAUDl0nMXWISCyO04M0VFh8kUucUsAB0m35OJVIT9Ycg50jDmekWltgdrO1RlrhJHEZJGWtuhJFVFiFX/7teNVLI+4F3R3rA8ClAA1hehKF968EQPkykil+PMFBUdJlPkCnPl0UdhUtEvGp9hMkW2y/SKivTv02V4rldU1sN5sWlMjg9WqP5V9ZSaJzEx6hFiRbNySn4zU3U4cnjLKsNayrQIxUvDmEmkELNoDCKylgRw2ukgiFaKyRS5iWl59HB0nO8mk62CyWjoei09fn2gpq1M9Vc7HY8VvImJoY5A+Zor5lWqK89F8twzBVg3O5WzCMXoLGeniFzqErpl1OkgiFaKyRS5yWUAWc1DJ2aHODNFtvClYmM7k4nh/f7q5ipvWd7V6txOasn4TlWsaUYKAAypG40BT+NKX5fnzBRg0b4pANMAogB8S08MTDKZInKp55wOgGg1mEyRm/TDpKLf1GxoUje0pAPx0DrhSSentiZigwd9VQ11/oomp+OxWps2Nen3qFlvVKyULqdGfB7PiveM5VmAArChCMVLw0ymiFzqKacDIFoNJlPkJjlnoBLJKGenyHKKlgq3JyJ9h9Symo2Bqk1Ox1MIwfhoX5O/zJKvLeiZTa3mdSuYmTLvGr06pkUoTvbk/j1DRI56wukAiFaDyRS5ySSAJDL9YRaJJViEgqwjdC3eHA/3HvIEgq2BmnZlYQfiUpKOzuzweZutul1jYHXNiVeQTNXgyOFtqxnDxAAAY+nBi6OYjaUQsWgMIrJGGsDTTgdBtBpMpsg15ir6XQSQ1Qx0lkUoyAqGnq6Ph3sOClXZnOkVVbKNyw2py61GJKkqnhX1hMolrc+Ml6tq1rK5fCgrq/5n1b6pIeT4Gzc6w9kpIpc5iW7JnpJUlJhMkducg0kyNckiFLQGUhpGTTzce0CKVFewttNbxL2i8lWbGOut9QVXXCwiF58yterZnBXsmQKsq+g3AyACkyIUgyxCQeQ2XOJHRYvJFLmNaX+YyZmhCcPQV7Vfg9YvKSUqEpH+fboxuztY2+H3+Iq+V1Q+lOTs2FZ/sN3Ke27w61lvcuQdj4DtM1NzRSheAotQEBUDJlNUtJhMkdvkfMhJpCKcnaK8BZPR0J50evyGQE1buRpYc1nwYiGNtLZDSfkUISz7/a4Zsdlav2/VpeJXuMzvRhw5bNUetnMwKUJx/DKTKSKXedzpAIhWi8kUuc0EgBSArL0s0TiLUNDyfKnY2I65XlHVvtLpFZWvxuT4ULnqs7TRsIKJqbW83qOsKLGrAtC1lvEWGIBJu4XecURiSYQtGoOI1qYf3XLQ6SCIVovJFLnKXBGKSzBZmjMbHecvW8pJTSentiRiAwd9VQ0bSrBXVD68icnBjkC5pcv7AKDGl8rad5QvQxpZFfXyYNW+qSEAprNco7MsQkHkElziR0WNyRS5kenSnJGJS70OxEIup2jpSFsi0ntQDVY3BapanY7HKVJLxneqqLX6vrqRStYHvBtX+3oDhr6Kl1lV0W927l9WwZH+CS71I3IJJlNU1JhMkRv1weTd5HBsMpxKxycdiIdcSOhaojke7jmk+AJtgZoORSjr+vdZuzY16feoZVbfV8qJUc8a9l8Zwrlk6lpFKM6zCAWRW3C/FBW1df3wQa6V8yEnEpvqsTEOciND1+Z6RYnNwdpOj+Ip2V5R+SqLj/Zu9JdqOmeVAAAgAElEQVRtKsS9K72xNb3egL6aZX77ceSwVX+fzgHISjKfZREKIjeYBHDC6SCI1oLJFLnRBDLd0LMekqfCIz22R0OuMN8r6kYpEuulV1Re0tGZLp+3pRC3NqSuNwY9a+pVJSFXMzNVAWDHWsZdwLQIRf8EotEkZi0ag4hW5wF0y9W84ULkGkymyHV6QqcNABdgsjRnZOJij+0BkeMqEpGBfVqmV1TA41t1v6NSY0hdbjUiKVXxeAtxf92YHPEpnjUlrQZWVYACsG7fVAg5ilCMzHB2ishh9zodANFaMZkitzoJk2SK+6bWl2AyGroulRq7IVDTWu5dP72i8lUXH+ut9QUbCnX/MjWcXus9pHA8mQoDmAEQWHpiYIIV/YgcxmSKih6TKXKrSzBZmgMA4djUZZtjIZt5U/HxHclEaK5XVMGShWKmJGfGtgSCHYUcozEgNqz1HgZWvYTHkvLoc0UoziOzdHCR8yHOTBE56By6ZZ/TQRCtFZMpcqt+AAYAz9ITU7NDl+wPh+zgSSenNyeiAwe9FfUb/BXNTsfjVtJIazuUtE8RwnT5mhXSxvR4maqueUmlhGH6pkge9uHI4ayf/1UyLULx9CUmU0QO4qwUlQQmU0VACLFRCPHvQohLQojjQognhRDvcDquQuoJnU4j825y1dJzg2PnL0kpV/uARi6kaOloWzzSe0gNVjUHqlsLmCOUhI3J8aFy1VddyDF8ynTEivvI1c9MlQPYZUUMAAZhMtMdmkYsksCMRWMQ0cowmaKSwGTK5UTmqfJHAB6RUm6RUh4A8D4AeTUnFUJY9c6uE07AZN9UIhlJJFIRvqNcCgwt0ZTpFeVrC7JXVD68iYnB9kB5e6HHqffrWT97qyGFvpY3PixZ6odMEQrT7y0WoSByRArAw04HQWQFPri43+sBpKSUX54/IKXslVJ+UQjhEUL8nRDiaSHEKSHE7wKAEOK1QoiHhBD/DuB5IUSnEOKcEOJ2IcRpIcS3hRCHhRCPCyFeEkLcNPe6m4QQTwghTsz974654x8UQvxQCHH33PV/O3f8d4QQ/zgflxDiViHE5yz82nPum5qNjHOpXxGThqFtiId7DkkVWzK9ogpSja7USC0R26mK2kKPoxnR2Rqfb837pQBAijWVPbaqeW8YmX42WUUo+ieYTBE54HF0y6jTQRBZgcmU+10H4Nkc534HwIyU8hCAQwBuFUJsnjt3E4BPSSl3z32+DcDnAdwAYCeAXwPwSgAfBfDJuWvOAXi1lHI/gD8H8NcLxtoH4L0ArgfwXiFEG4DvALhFCDH/IPxbAP73Gr7WpfoB6DDZNzU+3X/RwnHIJlJKWZ0I9x0wkNgRrO30etSsh1vKrV2bnvJ71Ky9P1ZTMDll1b0k1rQk16qKfgDwEkxmul9kEQoiJ3CJH5UMJlNFRgjxJSHEc0KIpwG8CcD7hRAnARwDsAHA9rlLn5JSLqx6d1lK+byU0gDwAoAH5vYdPQ+gc+6aagDfE0KcBvCPyCRy8x6QUs5IKRMAzgDokFJGATwI4G1CiJ0AvFLK5636Wuf2TZ0BkFUSe2j8pX7D0FNWjUWFV56IDOzT9OnrArXtAZW9olaqLD7au9FftsmOsWr9KesaIotVF6AAgL0WF6EILj34zCWWRydywN1OB0BkFSZT7vcCgBvnP5FS/j6ANwBoQKYR5R9KKffN/dsspZx/t2fp9HlywcfGgs8NAOrcx7cBeEhKuQfA27F4SczC1+sLXnM7gA/C+lmpec8isxF9EcPQjWh8miXSi0AgGR2+LpUc25vpFVXwJWolKRWd6fL5WuwYSpepRL3f22jV/eTqm/YCmeTnumWvys8gMr/vFhmZQTwcx7RFYxDR8i6jW550OggiqzCZcr8HAQSEEB9ZcGx+mc89AD4yv8xOCNElhMhKPFagGpkHDiCTIC1LSnkMQBsyywb/Yw1j53Ih14nx6YGzBRiPLOJNxce7kvGhG/3VTdW+cvaKWiVD6nKrjKZURbFlX5mU42OKEJb9bZBizYU3rVrqNwSTJcMAi1AQ2eyHTgdAZCUmUy43txTvVwC8RghxWQjxFIBvAvg4MrNCZwA8O7c07yu4OmO0Gn8L4DNCiMeR46Ejh/8E8LiU0rJ9FguEAEQAZC076ht54UUp1/SuNxWAJ52c2ZyI9h/0VtTX+yttmU0pZXWJsb5aX8C2ZLRKjVtcl37NbQysKkIRBTAOk6V+fSxCQWSn7zsdAJGVBNv10FoJIX4C4B+llA8U4v6dzXt+C8DNAIaXnnvF3l/9jYqy2q2FGJdWRtFT0ZZ0arzVX9XGEufWUJIzY/u8qC9kc96FDKnrWyoGdK+i+Ky656ivt7e1OdGxhls8hdvuv9mKWG45IG4FsB/A6MLjb9mHzR85jPdbMQYRXdMggDZ08+GTSgcfeGjVhBA1QojzAOKFSqTmPAfA9OFuYmaQS/2cZmjJpni456Dw+9oD7BVlFcNIp3coaZ9diRQA6MbEiJWJFABg7cv8bsCRw1YtcXwRJuXRn76IEB/tiGzxQyZSVGr40EOrJqWcllJ2SSl/tcBDzZdBz3qo7B85c05yetURUhr6hni496BUjS3B2k6VvaIs1ZQcD5Wrvmo7xyxTI2nLbyrW/PMZALDHilCQ2TeVFc94GIlwHJMWjUFEuf3A6QCIrMZkilyvJ3R6BsB5mJRIj8ano7HEbJ/9Ua1fV3pF6YjtCNZ2+Dxq1h4UWhtvYmKwPVDebueYUhpoDAhLGvUuZsm2xgNW3ASZZMp0pm9khiXSiQpsFMCjTgdBZDUmU1QsHodJw00AmJwdPGNzLOtWeSIysFfT5ntFmf7/QWsjtURspypsLyGvGTNjZapqff8vaxYpWlWEIgZgDCxCQeSEH6FbsmgUlRwmU1QsXpj73+ylfsNnz3KlX2EFUrHh3ank6N5ATWuFN8heUQXUrk1P+z1q2fJXWsunTC/tTWeNte+ZAqwrjw5kZrmz3gg4N8RkiqjAuMSPShKTKSoKPaHTkwB6AFQtPReOTYQTyciA7UGtA950fGJ7Mj50o6+qqcZXblkjVzJXFh/t3egvc6ScfENAZv1sWUEIacXc1PU4ctiqwhjmRSgusQgFUQFNItM3k6jkMJmiYvIoMo2Fs0zODrGqn4U86eRMZyLaf1Ct2NDAXlH2SEVnunw+R/5bp43oTLXPW1eQm1szM+UDcL0VN0KOIhSTESRn45iwaAwiWuwOdEvN6SCICoHJFBWTF3KdGBg9x31TFhB6OrYpHuk9pAYrWwLVbTZW5V7XDKnLbTKaUhXFkYqIHjExXah7WzQzBVi31C+EzN++rLiGp7nUj6hAvuF0AESFwmSKiskYMg3/svY7TIdHphPJSFZTX8qPMPTUxni455DwqR1B9oqyW11irLfGF2hwbHxf2l+oe1uYj1tVhCIOYAQsQkFklwvolo85HQRRofCBiYpGT+i0RGapn2kBhKnZYc5OrZCUhl4XD/cekIq+NdMrytqGrbQsJTkztsUf7HBqfN1Ixjf4vRsLN4JlM1NWlUcHMvumzIpQsDw6kfW+6XQARIXEZIqKzfO5TvSPnDnNqn75kVLKqni470ZdRncGazt8Hi97RTnAMNLpHUrapzi4nlJifKyQ4wvFsmRqD44ctmoG7TyArHs9dREhQ2bvpyKiVTPAZIpKHJMpKjbDyDT+y+qHMxUenoolZntsj6jIlCcig3s1bWpPsLY9qPoLUsGN8tOcHA+Vqz7Toip2qfbGC/p3QFjVaQrwAthr0b1Mi1DMxJCajbEIBZGFHkS37Hc6CKJCYjJFRWVuqd8jyLHUb2Ti0rP2RlQ8/KnYyK5UcmRvoGZThTdYmMptlDdffGKgLVDe7mQMhtS1hkAhl/gBQliWTAHWLfULIZPkZRehmOG+KSILfcPpAIgKjckUFaPnkePd7stDz53VdS1hczyupqbjk9uT8aEDvqqNtb7ygj44U36klojv8IoNTsehGxOj3gJXEFSsq+YHWFeEIoHMLHdWc+TecSZTRBaZBfBDp4MgKjQmU1SMBpBpAJj1IKTpKW0qPHzK/pDcx6MlZzsT0f5DakUte0W5S4c2PeX3qI7vUytXw+lCjyEUS//OWFUeHcjsm8oqQnF2kMkUkUX+E90y7nQQRIXGZIqKztxSv4cBmL6z3zd8+ritAbnMlV5RnmD5XK8oNotykbL4aG+jv8zx5FZKA40Bpb7Q41i8zG83jhy2Kgk1LULx9EUMswgFkSW+4XQARHZgMkXF6inkaLw5NtU3Gk+G1927y8LQU43xcO+CXlEep2OiJVKR6R0+3yanwwAAzZgZDapqeaHHUYSlf2dUWFuEQl96MJxAeiaGcYvGIFqvzqNbPu50EER2YDJFRakndHoUwFkApoUURid7108hiqu9orRtwdoO9opyJyl1Y5uMaR5FUZ2OBQD8numYHeMIa5MpwLqlfiHkeEMmNM2lfkRr9K9OB0BkFyZTVMzuA2D6zvqlwRPPG4Ze8P0gTpJSyqpEpH//1V5RWXvIyD1q42N9Nb5AwZfV5avBL20pyW7xzBRgXRGKJDKzU9lFKMaYTBGtQQTA/3Y6CCK7MJmiYvYCgASArJmYVDqemomMvmB/SPYoS0aHbtC0yT2Bmjb2inI/JTkzuiUQ7HA6jnmaHp6u8nlN2wtYrQAzU1aVRweAF2FWhGKIyRTRGvwfdMsZp4MgsguTKSpaPaHTKQAPAmg0Oz8weq7klvr5krGRXanEyD5/dUulN+h4aW1anmGk0zuUtF9xUSEQjzI1bddYihBW/53ZhSOHrZqFfQkmRSieuYhhw4Bh0RhE64kE8EWngyCykyvW7hOtwZMA3mp2Ymjspf6u9pvH/L6yBptjspyaTkx2Gka80V/liuIFVgqFR/AvT//blc/HohN4x6634he3vf7KsbNj5/GFo19BfXkmfzzYsg+/vPOXMJsM44tHv4pYOo537n47DrRkahN8/skv4/373ofaYI29X4yJ5uR4qNzh5rxL1fnSQZMJ3YIowDI/D4D9AKzY3B4CspOmSBLadAxjdRVgXzailbkP3fKc00EQ2YnJFBW7IQCXkSlEkfVu+9h034nWxp1vsj0qiyhaarZNS0+3+KvahBCmxTaKXXPlRtz2+k8CAAxp4I9/9skrSdFCXRu24X+8/COLjh0beAavaH8Zbm49gH944ks40LIXJ0LPo6OmzRWJlC8+MdDmskRKMxKxOr/XdDa3EBSBQlSVPADrkikgU4RiUTn00DSGmEwRrdgXnA6AyG5c5kdFba7n1D0ATDfTXx48+Zwhjazyx24n9HSsJR7pPeQJlG8KVLevl15RZ0ZfRGN5A+rL8lvB6BEepI0UNEODIgR0Q8e9Fx/EW7a/scCRLk9qidhOr3DdUkyBiXE7lxwqQhQimbKqCEUKwCBMCtn0jl1JtIgoPxcA3OV0EER2YzJFpeAUgDRMZlpjidnY9Ozwc/aHtEpXekV5PZ3Bmg7POusVdWzgGbys1by+wIXJyzjywF/jH574EgZnM/UBXtZ2CM+PnMU/PPEl/MrOX8KDlx/BK9puhl91vjp8hzY97fOoVjWYtUyVN2Hr91SBZqasKo8O5ChCcWaQRSiIVuhL6JZseE3rDpMpKno9odNxAI8iRyGKi4PPPiGly3/BS8OoXdQrSs3aFF/qNEPDieHncWjTjVnnOmva8A9v/kvc9oZP4vCW1+ALR78KACjzBvEnL/89fPp1H0dHTTtODp/GwU378PVnv41/PvY1XJi4ZPeXAQAoj4/2NvrLWhwZ/BoMQ9MaA6ptS/wMacgCzYLtwJHDFRbd6wIA79KDT1/CsM4iFET5igD4utNBEDmByRSVisdg8kAEAJMzQxPh2MSLNseTFyklKhPh/n26DO8K1nb413GvqFPDL6Cjpg3VgexK70FvEAE1AADY27QHmtQRTkYWXfPjc3fh7TvejKP9x9FZ247fufE38P0zd9oS+yKpyHSXz+fKQiG6nBhRFcX056QQpDAKlYwoyBShsMIQluyXAoB4Cvp0FKMWjUFU6r6JbjnrdBBETmAyRaWiB8AwTJbrAEDP0CkrNqtbqiwZGbpB0yauD9S2lal+WxqoutnRgeN4Wav56q3pxAzmJxcvTfZASokK39VtLsORUUwnZrCzfjtSegoKBACBtK7ZEfoVUurGNsQ0j6K4srhPuRqxdf+gIWUhx7Nqqd/w3P9m/T0MTXOpH1EedAD/5HQQRE5x5R98opXqCZ2Wnc177gbwQQDhpedD4xcGtrUd7CsLVDleWc2fjI9uhjDq/DWuWwbmlKSWwguj5/DB/d1Xjj14+VEAwOs3vwrPDJ7Ag5cfhUd44PV48ZFDv42Fq8d+cOZOvGv3LQCAl7UdxBeOfgX3XnwI79j1Nlu/jtr4aF9NsLzT1kHzJKUhN5Z56m0dEwUt/mJVEYr0LQfEAIAKLPnd0TOGoT1tyF53SkQLfRfd8oLTQRA5Rbh9KwlRvjqb95QB+ByASQCprPMte7t2dNzcnfVCm6jpxFSHYcQ2lmCvKAKU5PTofq9ocGvlxbQ+ObK7Jmprqe8E4tGqjr6sSnkWeRG33b/TihvdckB0A3gdsHgm6hVdaP74LfiwFWMQlSgJYA+65RmnAyFyCpf5UcnoCZ2OAbgbMO8N0zP03PlkKjZub1SAoqXCHYlo30G1vIaJVGkyjHR6p6IF3JpIAYDfMxO3e0yjsDNTXThy2HRZ7ypchMlKjeOXMaobKLrWCkQ2uoOJFK13TKao1PwcmXfKTMsxh8YvPGFXIEJPx+d6RQU3Barb7eztQ/ZqTo6HylRfduUMF2kISNv35UnIQlbDE8g077WCaRGKRBr6ZIRFKIiu4X85HQCR05hMUUnpCZ2eAvAIgCaz8xf6nzmlaamsPVWWMvR0Qzzcc1B4lbleUdybWMJ8ifGBtkC543vxriWth6ervN5au8c1ULBqfvOsSqZGkEmmWISCKH93oVuecDoIIqcxmaJSdB8yS3ayZoJ0Q9NHJnuOFWTUq72iUtuDtZ3eddgrar2RWiK2U1U2OB3HclRlctqJcaXQC51MWVaEAkA/gKz9XT1jTKaIcrjN6QCI3IDJFJWcntDpEIBnkWPv1Et9Tz2jG1rSqvEyvaIiC3tFFWrDPbmIlAY6tOlpn0cNOh3Lcup8miP9ywq8zA+wrjw6AJyDSWuFFwaYTBGZeADd8qjTQRC5AZMpKlV3AQiYnUimY8mJ6cHjVgwSTEaHrtfS49cHatgrap2pSIz1NvrLXF/eXjMSsTq/t8GJsaUoeLXYrThyuMaie10Ci1AQ5Yt7pYjmMJmiUnUJwAUAdWYnL/Q/fVTK1Vca86ViYzuSieH9/uqWKm+Zrb17yAVSkekun78oKjMKTIw7VfxEFn7PlAAs6wNlWoQipcGYjGDEojGISsFj6JYPOx0EkVswmaKS1BM6LQH8GCbLdgAgHJsMT8wMrXh2ypNOTm1NxAYO+qoaNvgrTItcUGmTUje2I6Z5lOIoLFLtTZhWtrSDAcOORoZWLfUbAWDA5O/i0BSX+hEt8P87HQCRmzCZolJ2BpkHJNOS1S/2PPmoYejpfG6kaKlweyLSd0gtq9kYqGq1MkgqLnXx0b5qb6AoZiN1I51uCKi2NupdRBR8zxRgXREKDUAfgIql5y6zCAXRvPvQLe93OggiN2EyRSWrJ3RaB/AjAKYloSPxqcj49MBT17qH0LVEczzcc8gTCLYGatgrap1TktOjWwJlHU7HkS+JiRHVwRk0KWyZmbKqPDqQowjF6X4mU0TILIP9uNNBELkNkykqdc8CiAAwrbh2rueJx00r+xl6uj4e7jkoVLE5WNvJXlEk9XR6p6IFRBEl1OVq1I6ZodyEtCOZ2oIjh63qoXUJJg2/T/RgTNOhWTQGUbH6d/aVIsrGZIpKWk/odAqZvVOm1cziyXB8dLL3yfnPpTSMmni474AUqS72iqIFmlLjoTLVZ7pk1I0MacjGgMeRKn7zJGzL5azaNxWCSRGKtA5jIoJhi8YgKkZJAP/T6SCI3IjJFK0HTwCII/fs1JOano5VJCL9+3Rjdnewtt3v8bFXFF3hS4wPtAXK252OYyV0Y2o04PE42gNL2jMzBViXTI0iU4Qia3aKRShonfsXdMsep4MgciMmU1TyekKnYwB+gBxNfFPpeEodu/DQDYGatnI1YFXPGioRUkvEdqpKURScWCjgmYk7HQNgWzJlyb6puSIUPQCy3kzpGUPIijGIitAMgL9yOggit2IyRevF48j8QTCdcXqo98kL4VQ0YW9I5HZSGujQpmd8HtW0AbSbNQTMC6/YShTdMj8gRxGK51mEgtavv0G3nHA6CCK3YjJF60JP6HQSwPewZO+UAII+4Bd8hv6mpwdPnHcmOnKrisRYb6O/rNnpOFYqbcxOVnq91U7HYVMBCgDowJHDVs0eXobJMr+TPRhL68irlQJRCRkA8HmngyByMyZTtJ4cAzCOzLvOXi9woAzibQEIVQXuOjV8+o5wMsKlPJSRikx3+f2bnA5jNbxiatbpGDLsyqUAWFcifQgmgWsG5ESYRSho3fkLdEsXLBkmci8mU7Ru9IROpwF8VwV2l0P8cgCiRgXu90A8KiAiAPDU4LP3OhwmuYCUurEdMa1YS+LX+bUyp2MAAAhbkymrlvqNAdDBIhREzwH4ptNBELkdkylab54NQgyrwHMqxAMKxNTCk8+PnOmZiE1ecCo4coe6xGh/tTdQdEUnAEAz4tE6n7fR6TgAQBRhMnXncakjU4SiYum5S6NMpmjdkAA+gm6pOx0IkdsxmaJ1pSd0Wlch/l6ByNmA89Heo/dJadteD3IZJTk9ssVfVlRl0BcSmBh3TV9he5Mpq5b5AcBZsAgFrW/fQLd8cvnLiIjJFK1HZwC8AMD03fue6b7Rnun+Y/aGRG4g9XR6p6IFhWuykZWr8SW9TscwTwjY+d+xDUcOWzUj1wNkx/5cLybSGlIWjUHkVlMAPu50EETFgskUrTsnQqckgP8EUIYcPwP3XXz4oaSWDNsaGDmuOTU+XKb6qpyOY7V0I51q8Kum/dQcIaTdSalV+6ZMZ6AMCTkeYREKKnmfQrccczoIomLBZIrWpROhUz0AngDQZHY+lo6lng2dutvWoMhRvsT4QGugvM3pONZCyolRj6JkFU5wiijeZCp3EYpJLvWjkvYMgK84HQRRMWEyRevZj5B5WDKt2HZs4PiZidjkRXtDIidILRHbqSpFWXBioQpv1FV7/RxYLGnJvqk7j0sDwEWY7Ju6yCIUVKKkhAHg99Atbeu2TVQKmEzRunUidGoUwN0AcjZlffDyo3fphpGzWAUVPykNdGrTMz6PGnA6lrUwpCEbAx53JYTFOzMF5CpC0cdkikqTELgd3fJpp+MgKjZMpmi9uwtAFEC52cnB2dDkxclLj9kbEtmpIjHW2+Avy5lQFwvdmBrxezxBp+NYSLG3AAUAtODIYav+v+wzO3iqDxMpDUmLxiByi3EAn3A6CKJixGSK1rUToVNRZJoS5ty0f9+lnz8WT8cn7YuK7CJSkakuv3/Tal//pns+i3c8+E9414NfwHse/ues81JK/PWpO/GW+/4O73jw8zgzPQgAuBwew3se+iLe+eDncXKyFwCgGTo+9PjtiGurKxYX8MwkVvt1FIoQ0om/MVaVSDedgZIAxsMIWTQGkVt8At2Sf+eIVoHJFBHwLIBTyFGMIq2n9WMDx++yNyQqNGnoxjbEDI9QTPfM5evrr7gVP3j9H+E/X/sHWeceHXkRfZEJ3HX4o/j0vnfgtud+BAD4Xs8x/PF1b8Y/3vTr+MZLjwIAvnv5GN7eth9B1beqOBoDqF39V1EYNpdGn2fVUr9xAGmY7KkcnGIyRSXlIQD/5nQQRMWKyRSte3Ol0r8NwDv3L8vJ4dMXRyJjZ2wNjAqqLjnaV+0NbCjkGA8Nn8Ut7fshhMDeunaE0wmMJWahKh4k9TTiehqq4sFsKo6Hh8/ilrYbVzVOWp+dqPB6qy0Of82KOZmaK0JxCUDF0nOXRrhvikqDlIgA+B10s1E90WoxmSICcCJ0KoRMdb+WXNfcd/HhuzVDZ8POEqAkp0e2+Ms61nofIQQ+/MTX8Z6Hvojv9TyVdX4kPoOmYM2VzzcGqjESn0X35l/ANy88httO3oFbu16LL7/4AD6843VYba9grzLlyp5oinDkb4xVy/yATBGKrGTqZC+TKSoNQuBj6JaXnY6DqJitaXkLUYm5F8BrAFQDmFl6cjw2ET43dv6hPRt3/aLtkZFlpJ5O71S0oBC+Nc+afOtV/w2NwSpMJCO49fF/w+aKBhys33x1LJPXCCHQXFaDb7zqwwCAvsg4RhNhbK5owJ89812kpY4/3PVGdFY05B3HBr9WDqxueWAhCWeSqSYcObwJt90/aMG9eoHs2bUzA5hMakj4VRR1BUha9x4E8GWngyAqdpyZIppzInQqCeAbAOpg8gAFAA9efvRYJBkZtjMuslZzany4TPVVWXGvxmDmNhv8FXhD83V4fqp/0fmmYDWG49NXPh9JzKAxsLja9ufP3os/3PVGfPvSE3hb2z78/s7D+NdzD+Qdg2bEI7U+b/6Zl40cmpkCrNs3NQST3wUSwPgs901R8eLyPiLrMJkiWuwFAMeQo/eUIQ35UM9jPzakodsbFlnBlxgfaA2Ut1lxr5iWQjSdvPLxE2MvYXvV4qKQr23ahTv7TkBKiecm+1ChBtAQuJrHPT1+CRsDVeioqEdCT0MIAY9QENfTecchMDGx2uWBhVYCydQEgCTMilBMcqkfFS8h8Kfolj1Ox0FUCrjMj2iBE6FTcn/zDd8FsA+AH8juJ3Nxsmf4xfELD+9q6HqD7QHSqkktHt3pVSxrajuRjOC/H/sWAECXBn6pdR9euXEHvnv5GADgvZtvxqs37sCjIy/iLff9PSVyOV4AACAASURBVIKqF7ftf/fVeKTEV158CP9w6NcAAO/uvAl/9sx3oUkDR/b+ct5x1PiSXjcu8QMcW+YHWLRv6s7jUt5yQFwE0AZgauG5CyMYummbFaMQ2UtK3C8EvuJ0HESlQkjO8BJl2d98w2EAvwGgx+y8gBAf2P++D9YEqtttDYxWRUoDncnRUCk0513IMNKpbVUhj0cIj9OxmNFbzkaDXsW0IXaBjeK2+3P2jluJWw6ItwJ4J4BFazh3bULtZ7vxR1aMQWQXKREWAnvQLU2bUhPRynGZH5G5hwEMILN/KouElPdcePAOVvcrDpWJsZ5SS6QAwJATo25NpABHl/k14shhq97oMH3oPDuIqWQacYvGILKFEPgoEykiazGZIjJxInRKQ6YYRRUA04fVUHhk+tTw6bvtjItWTqQiU9v9/lan4yiECm/U1UsLFGH+s2MTq0qkmxahAIBRFqGgIiIl7kG3/KrTcRCVGiZTRDmcCJ26AOAeAJtyXfNI75MnRqPj5+yLilZCGrqxDTHDI5SS2x9qSN1oDHhcWcVvnuLsrJlVRSgmASRg0tB7cIpFKKg4GBKjQuADTsdBVIqYTBFd2x0ARpBjuR8A3HX+vv9K6amofSFRvjYkRvuqvYENTsdRCLqcGvF7PK7uc+RgAQrAomTqzuNSAngJQOXScxeHmUyR+0kJqQi8H91yxOlYiEoRkymiazgROpUA8BVkHqSy3pkGgOnETOzYwPE7bQ2MluVJTo9sDpR1OB1HoQSV2bz26+mGgZt+8p/4lQd/mvOaH/ZehP9b/4LjE6MAgCdGQzjwX9/By+/6Hi7MZvpXT6eSeOv9/4V8ixYZ0pCKszXbrVrmBwAvAsgqpHGil8kUFYXPoVve43QQRKWKyRTRMk6ETvUA+D6usdzv+NBz5wdmhp61LSi6JqmnUjsUrUy4tQGTBRqDojaf67547hR2Vue+NJxO4UvnTuGm+qvF7/7pzEl85zVvxl/uexm+ev40AOCvTz2Dj19/I/L9T2oguxdbQtNx09efxt6vHsN1Xz6Kv/j5pazXfeO5ITR87hHs+9ox7PvaMdx+YhAA8OJEFAdufwp7v3oMTw5kEjzNMHD4/z6LWNq07dsGHDncmVewy+tDplfvIudDmEmkEbNoDCLL6QaeFQKfcDoOolLGZIooP/cgs9QnZ7nln56/9+54Oj5pX0iUS0tqYqRM9WUtyyoVaX1molxVq5a7biAawc8Ge/Fb23blvObTJ5/Cn1y3HwHP1e1NXkVBQtcQ0zV4FQUXwzMYikXx6o0530/IYojsZMrvUfDgb+zHcx++GSdvvQl3X5zA0bnEaKH37t6Ik7fejJO33owP7c+M+ZVnB/E3r9+K77/7evz90V4AwL8eH8RvXt+MMm/OrVlW7ZtiEQoqOoaBiEfBe9At8+8CTkQrxmSKKA9z1f1uR6bRtek+lbiWSP+854k7JJu3OcqXGO/fFChvczqOQvIqU+F8rvvoM4/hMzf+ApQcs0knJ8cwEIvgra2di45/bM8B/N7Rn+Ofzz6Hj+y4Hn9x4hj+Yt9NK4pRSpmVTAkhUOHL1AJJGxJpQyLfuUOvoiCuGYildXgVgelEGv91fhzvv6HpWi+zKpmaQqYIRVZ35MEJLvUjlxL4bXTLi06HQVTqmEwR5elE6NQIgP8DoAU53qU+N/7SwIXJy4/aGhhdIbV4dKdXcXWFOyvU+/WK5a756UAPGgJB3Lih0fS8ISX+9JnH8dkDL886t7euHo++5V24902/gsuRWTSXlUMC+PVH7sEHH7sPI/HlV7YZMAyz47ohse9rx9D4uUfxxs11uHlTddY1Pzg3ihu+egzv/v4p9M8kAAC/f7AVnzvah/921zl88hWd+MtHL+NTr+xcbtmhJfumFhShyPrv/tIIkylyH03Hl5Vfk99zOg6i9YDJFNHKPA7gGQA5G8D+7KX7H56MT2VvBqGCktLAZm0m7FNUV1e4WyvNiIVr/b765a57cjSEnw70oOuH38JvPnovHh4exAcfu+/K+XA6hRemJ/Gme3+Mrh9+C8fGRvCuh+66UoQCAKSU+Mzzz+CT1x/AXz33NI7svQndm3fgS+dOLRunFObJlEcROHnrzRj476/AU0MzOD0aWXT+7dsb0PMHr8CpD9+Mw5vr8IE7zwAA2qsDePj9B/Dkbx1CmdeDoXASOzeU4Td/9ALe+8PncX7CNMGzsgjFWZgUoTjZw2SK3CWt43nVgz92Og6i9YLJFNEKnAidMv5fe3ceHddZ5/n//dSi3bItr/IWO4kTR9njAB1okhhCaGaCmSY0SzM0Tc+ZbobpZpmeMz8YSDcQyGEZaBqYhG1CgJA9TihnsRMnzm47dlm2ZMu7rc0qydp3qZb7/P645USWtVm+Ui36vM6po8qtu3zlSKr63u/zfB/c6lSMEe5Sg9vFLHRw0+MD8cGzJ4PIlJk10FwzP7dgzDFf2cBH64Tm5X3nuhs4fvtnOfzRz/CH997KzYuXct+ff+Ct12fn5NLw8b/j8Ec/w+GPfoZ3LVjE4+v+A2uHVLL+cPwQH1p6AXNz8+hLxPEZg89AXzw+7vUdEiMmU6fNyQty8wVz2XSs9Yzt8wqC5Abct6b/eu1Swo1dZx379ZeOcefNF/HTnfV8+srFfOvGC/nWKyPev5jLHbdcNG6wE1M30sajTXT1R9HSCJIWEg49QT9/yafsYKpjEZkplEyJnKPySEUH8CtgIaP8DnUMdPa9cOzlhxOOM/6nTjl/0e721bm5y1IdxnSYkxM9a97OufjWnjfZWHdi3P364jHuP3aQz196BQBfuuxqPvnyJu4o38HfJ7eNxRp7VjLV3BulY8CdC98fS7DlRBtr5p9Z7Il0v/0ZMHS4mcuGvf5yTTtLZ+WyuqSAvlgCH261qy8+au7mVXUqwuhNKFSdkpSzFmvg45onJTK9AqkOQCRDVQAvADcyyh3rI23HI6WNlc9ct+Tq9dMa2QxjnbhzKf2O3+SN2tItWySc6OD8vOCoHSVHc9Pipdy02O2KN1ojiedv/U9n/HdBIMhzQ7b9+aIl7P7wJyd8zZHmTEV6BvlsqIqEdedsffyyhdy2ej7/8tIxrl9SzPpLFvDTnXWEDrcQ8BlK8gPc9+Gyt4631vKd16p55KNuMvf31y3l00/uJ+5Y7vnQpaOFcj3wyIQDH10H0IvbhOKMNb7qW2m4YD6rPbiGyKQNxPiX/M/aZ1Mdh8hMY9R4TGRyri29qgD4Nu5ivu2j7Xd72YdvWz57qZdzN2SIkv5IzYV5hVm7OO9QcSdSd9nseEZ0KuwwbacWrmgeufvF9NrKnVve58WJ1q81XwRWA2eMTbz9nVz62RuZeKYp4rGeAUJFn7MfSXUcIjORhvmJTFJ5pKIP+Dnu3KlRmx6EDj77bNdg98lpC2wG8Q+2N63KLViR6jimy6xA5qwPa83Yc6am0XXccYtXizcfAAqGbwyf0DA/SZ3eQQ4X5SmZF0kVJVMi56E8UlEN3IvbLn3E36eYE088dWjzI9FETJPUPWQT0egaX6LAjNMbO1s4NuEszPOnQ6VnQixpM+xhNnCxR+eqH2ljdTPdfYP0jPSayFQajNEd9HMLn7L9qY5FZKZSMiVy/t4AngdGHX51qrel65XqNx7Tgr7eWRJtbcoP5MxKdRzTJeG0NeX4/bmpjmOirEmrn3WvFu9tQE0oJE0kHJyufv4y5zN2xHm7IjI9lEyJnKfySIUFHgaOAaO25t536kB1VfOh50d7XSYut7+lbmleYUbMHfJKQaA7Ov5e6cTJxmSqC+gBzkpq61uVTMn0auvhfy34B/tCquMQmemUTIl4oDxSEQXuwV1/qni0/Z4/9tK2pp5T+6ctsGwU7+9Zk5M5w928siDPlKQ6hnORZpUpTxrAhMLWAoeBsyqihxuVTMn0aevhoQX/YH+U6jhERMmUiGfKIxWtuA0pSnDbJ4/oTwefDfVG+5qnLbAsYq3DynhnT9CXOcPdvBBLdLQUBgIZNaTRpldlyssmFAcZoQnF7hNEPDq/yJg6+9hTUsTfpDoOEXEpmRLxUHmk4hDwALCMUeZW9MX6o08ffu7BaCKWOa3Z0sSsgebq+bkFow6lzFY5vo7Ma26QXpWpWcCoC1Gdo3rgrO+ttpWe3kG6PbqGyIi6+qjz+7iJT9lYqmMREZeSKRHvbcFtSrFstB0auhvbXzz+yoMJJxGfvrAyXLS7bXVu7oyaJ3XavNxERlWlADDplEsBHg31Y6wmFJ0a6idTp2eAjuZubiz6nO1KdSwi8jYlUyIeK49UOMDvgEZgwWj7HWw5Ur+jPrxBHf7GZ524cwn91m98/lTHMt3iTl/X3NyceamO41yl2TA/8K4JRTfQyQhNKOrUhEKmyECUgWNNfPCiL9vqVMciImdSMiUyBcojFf2486cCQOFo+715cvcBdfgb37zB5triYF7GJRRe8NHanuoYJiX9KlOeJFPJJhRHUBMKmSbxBIm9tfzN1V+1b6Y6FhE5m5IpkSlSHqmIAHcDC3GTqhE9f+ylbbUd9TunLbAM4x9sb1yVW7Ay1XGkytyc6KjNTNJaes2ZAriWO27x6j3vECM0odh1XMmUeMux2B1H+fq77rCPpjoWERmZkimRKVQeqdgLPAasYJR5FgBPHnzm2ebe1kPTFliGsIlodI3fKTLGq0ZsmSXhRAfm5wUXpTqOSUm/ylQhsMajc9UDzvCNDe309QzQ6dE1RNh1nHve8037/VTHISKjUzIlMvWeBl4CLhhtB8c69rH9occ6B7q0kv0QS6KtTfn+YFGq40gVa1uafcZk5t/p9EumwLt5Uw2M8v55qlMt0sUblbWEvvME/5jqOERkbJn5Ji2SQZINKf4A7AOWjrbfYGIw/lhV6AGtQeXK7W+uW5pXOCO79502K6c/Y0tyxth0jN2reVPdQAeQN/y1WjWhEA8caWTH1x/h9uQcPRFJY0qmRKZBeaQiBvwCOAWMOmyre7Bn4E8Hn71/MD44s1vfxvt71uQEFqY6jFRybCKxKC+T/w3S8jOgV+3RAQ4zUhOKiJIpOT/Hmqj8w6u8LxS2WjpDJAMomRKZJuWRih7g34AYMHe0/U71Nnc9c2TL/bFEfGDagksj1jqsTHT2BH3+s1pPzyQJp60p6PNlZvMJwKTnML9ruOMWr9rrH2SEJhQ71YRCzsPRRg7/8gVu+vYGq0XdRTKEkimRaVQeqWgBfoT7IWzUuUA1HXXNL5545YGZuKjvrIHmmvk5BYtTHUeqFQS6Y6mO4byY0RuupFABUObRuU4yQhOKpk76uwfo8OgaMoMcbeLEz5/j5h9stJm5HILIDKVkSmSalUcqaoCfAPMZYc7FaQeaD9e9Uv3GgzMpoTLR7rbVubnLUh1HqlnrsDDPZPS6Wmk6Zwq8a0IRYZQOnU0dqk7JuTnWRN3PN3PrT561amAikmGUTImkQHmkYj/uHKpSIDjafnub9h+fKQmVdeLOagbwG59Xw7AyVtzpai4IBDK6i6FJz8oUeDRvKhS2PUAbakIh5+n4KRp+/Awf/smz9miqYxGRc6dkSiRFyiMV24E/AsuBUROIvU37j79Ss+3BhONkdUI1b7C5rjiYW5LqONJBjq+jN9UxnK8ZUJmC0ZtQqLogE1LdTOMPN/JX//c5uzfVsYjI5CiZEkmt54GNuGtQjfrhc2/jvuOv1LyRtQlVYLC9cVVuwajrcM008/MSZ31AzzRpXJm6mjtuCXh0rkNA/vCNbx5TZUrGV9tC04+e5uP3bLFvpDoWEZk8JVMiKVQeqbDA48DLwErGSaherXnjoWxLqJxEdPBSv1NkTLp+9p5ecae3a05OTkbPl4K0rkzlAZd7dK6TjNADvqWbga5+1ERARlXfSvOPn+HTP9tsX011LCJyfpRMiaRYclHf3wM7GKdCtadx37FXa7ZlVUK1NNp6Kt8fzOj5QV7ym9a2VMfgBZ9J6/eXqW9C0anqlIysupmmHz7Fp3/yrH0h1bGIyPlL5zc7kfNijOlJdQwTlVzU99fATsZNqCqzJqHK7W+pW5pXuDzVcaSTOTmxUTs8ZpI0HuYHHiVTobDtBVoYYahfbYuSKTnbwQbqvr2Bz/z7Jvt8qmMREW8omRJJE8mE6ldMMKF6rXbbw451EtMVn9dsrL9nTY5/YarjSCcJJ9o/Pze4KNVxeCHNkylPOvoljdiE4lCDkik5055qjn/zMf7u3peUSIlkEyVTktWMMUXGmBeMMbuNMZXGmI8kt680xhw0xvzOGFNhjHnMGFOQfO1fjDE7jTH7jDG/MsnJPMaYl4wx3zfGvGmMOWyMea/X8Q5JqHYxTkJVHqk8+mrNtocyMaGy1mGV09UT9PlzUx1LOrE0t/iyZPJYmg/zu4o7bhl1SYJzdIgR2qO/eZyIPWs2lcxUbxzm4Dcf5/MPbbNbUh2LiHgrnd/sRLwwAPyltfY6YB3wI/P2h9VLgV9Za68CuoAvJLf/3Fr7DmvtFbjDd24bcr6AtfadwJeBf52KgM89odqecQlV8UBz9fyc/MWpjiPdFAcHsiKRAjDpnUzlAld6dK4GwBm+sa2Hwa5+smL+m5yf5yup+F6I/+FYlEiJZKF0frMT8YIB7jLGVABbgKXA6WFUddba15PP7wf+PPl8nTFmhzGmEngfZ3b+2pD8GsbtvjclyiMVUdyEKgysYMyEquLo1hOv/THuxAenKh4vmWh328W5uZonNYxjE4mFeYGsGfaY5pUp8LYJxYjfq5pQzGzWwhM72fmzzfwvYFMorFqlSDZK9zc7kfP1aWABsNZaew3QxNtDcoa/sVljTB5wN/Axa+2VuE0hhg7hOZ2wJACv1qoZUTKh+iWwm3EqVJVNVSeeObzlt9F4NK2bblgn7qxmAL/xjbpI8UyVsK2NQZ8vJ9VxeMVnTLr/P/Zk3lQobPuAZqBg+Gs1akIxYzkW+8fXef23L/M/Q2G7WYmUSPZSMiXZbjZwylobM8asw01KTlthjLkh+fxTwGu8nTi1GGOKgI9NX6hnG5JQhRknoTreXt204cBTv+mL9bVMV3znav5gc11xMLck1XGko0J/d0YN1RyPz5f27y9eVabAnTelJhQCQDxB/NcvsvWR7Xw5FLavpDoeEZla6f5mJzIpxpgAbhXpj8D1xphduFWqg0N2OwB8NjkEsAS4x1rbgVuNqgSexO2sl1LDKlQrxtq3sedU50OVT9zbOdBVNy3BnYPAQHvjytyCC8bfc+ax1mFhni/jF+odymdI98rUFdxxi1cNUA7hzsM6w87jRBx79qK+kr36Bun7fohnni7ni6Gw3ZXqeERk6k3pMCWRFLocOGatbQFuGP6iMWYl4FhrPz/8NWvtN4BvjLD95iHPW5jCOVPDlUcqoteWXvUL4PPAdUANZw9TBKBrsLv/gYrHf3/75R++fWHh/DXTFeNYnER08NKAU5T+I79SI+50NucHAgtSHYeXDCbdb9bl4Dah8OIDb4QRfh/be4l29dE6p5D5HlxD0lxLN613bmDTiWa+GQrbo6mOR0SmR7q/2YmcM2PM54EHGSEhymTJCtUvgB3AKsb4/R1MDMYfrHj8kdrO+rS4M7os2tqc7w8WpTqOdJXr7+hLdQxey4DKFHjbhMIwwjDcRjWhmBGON1Hzld/z6IlmvqZESmRmUTIlWcda+wtrbZm19rkx9qlOtj7PKEO6/G3CrYyNulaOxdoNVU89fbD5yIvTFN6I8vqba5fkFS5LZQzpbn6uPWu+Tabz+9K+MgUeJVOhsO3HbW6TP/y12hYiXlxD0teOo+z75z+yobOfb4XCNu2GWIvI1MqENzsRGaI8UpHArbw9CCxnhAVDh9p09IVXd53c86RjnbPWwplysf6eS3MCi8bfceaKOT2ds3OCWdWUI2ET0/+zNjmedPRLGrEJxQE1ochajsU+sZNt332SjQmH74bCtjHVMYnI9FMyJZKByiMVtjxS8SxuG/fFwJhD6F6r3b731ZptDyacRHRaAsRtqrDS6eoJ+vxeTfLPSgHa2lMdg9ccMmYR6cu545Yxb0acg8OM1ITimJpQZKNonOjdz/HCb1/mCeCuUNi2pjomEUkNJVMiGaw8UrEd+AFQDMwde9/Ko5uOvHDfdK1FVdzfXDM/J3/xdFwrk83NjZ01NCzTZVAyFQSu9uhcDYzQhKKrn1hnH2m7XIGcu54Bur75OJufq+R+4CehsE3r9f1EZGopmRLJcOWRiirgu7iT3xeOte+RtuORh/c/+cupbp1uol1tF+flap7UOBLOYP+83OCY/88ykTUpGFI6eVPfhKJDQ/2yRW0rNV/+PZv21XE38PtQ2MZSHZOIpJaSKZEsUB6pqAG+A3QBS8bat7WvrecPex++r7ajfkrW0HKceGI1g/iNLxO6uaVYS7PPmFEXYs5UNnMqU+DRvKlQ2A7iJlQFw1+raVEylemshVcOsvOL97HlVBffC4XtplDYavimiCiZEskW5ZGKU8BdQC3u4r6jfkiPOwlnw4Gnngk37PlTwnHiXsaxYLC5vjiYm1UNFaZKcXAgK/8GJ7AzsTIFozShqDqpZCqTDcYZ+OULPPt/nmK7Y/lOKGzLUx2TiKSPrHwjF5mpyiMVXcD/AcpxW6eP+Tv+as32PZuObLl3ID7Y6cX1AwPtjStzCy7w4lzZzrGJ+IK8LO10mFnD/Mq44xav5q0dwV0M+Ay7jtGoJhSZqaWbxq8+yMZn9rAT+FYobKtTHZOIpBclUyJZpjxSMQDcA7yAm1Cd9eFuqCNtxyMPVW74VVt/x4nzua6TiA5eGnCKsnDU2pRIOC1NQZ9v1HXCMpmTWZUpP3CNR+casQlFzyDxjl6aPbqGTJN9dez9wr1sOdbEq8D31bFPREaiZEokC5VHKuLAH4D7cOdQzR5r/46Bzr779z7yh+PtNW9M9prLoq3N+f7gmC3a5W2FgZ5Mmld0TiwZVZkC74b6NTJKE4qImlBkjHiC+ONvsvl/P8zegRhPAneHwrYv1XGJSHpSMiWSpZJrUb2I2+kvgLse1agc69jQwWef316367GEkzinDlV5/c11S/IK1b1vgqx17MI83/xUxzFVZmoylWxCcRIoHP6amlBkhu5+Ou56kid+9wo1wI9DYft4KGyz9saHiJw/JVMiWa48UnEE+FegHriAcX7vt9fv2r/x0KZf98f62yZyfhvr7740J5B17b2nUtzpaM4PBM7q+pYtHONk2vwgNaEQqk5S8YV7eXrXCQ4C/xIK272pjklE0p+SKZEZoDxS0Ya7uO+LuPOo8sbav7qjrvmPFY/9qrm39dBY+1nr2Audrr6gz5/rWbAzQK6/M8uHDGXUnCmANdxxy1nVpEk6irsY8Bl2HafJcci0f5cZYTBG//2v8eRXH2RvZz8vAHeFwrYp1XGJSGZQMiUyQ5RHKqLA/cCvcBf3nTvW/j3R3sE/Vjz60N7Gfc8knMSI7dOLB07VzMvJz86OdFNoQa4dcw5bprOZV5nyAdd6dK4GODtp6hsk3t6nJhTppr6V4/98Pw88sp124NfAfaGwHUh1XCKSOQKpDkBEpk95pMICr11betVJ4Iu4zSnGHH609cRrO4+311R/4KKbby/KKXwrcTLRrraLc/OWT23E2SeW6G4vzgmOmchmPJNpuRTgDvV7zYPzDG1CccY/RKSdhnlF6OZDGkg4JF7cz5afb6bOuoud/0xtz0VkMlSZEpmByiMVJ4Bv4g5JWoXbHnpUNR11zb/b89CvT7RX77LW4jjxxCUMGr/xjXmcnC3ga/dkTa90Zsm4yhTAWi9OEgrbKKM0oahWE4q00NZD050buPdnm2mysB/4phIpEZksJVMiM1R5pKIT+DHwNG5jijEXLo0lYolNB5/u33rkuT1z+huPzwrmZnd1ZYqU5MS8WiA2bVljMzGZ8rIJxUFGakJRr2QqlayFXcfZ9vn/x4bd1QSAP+JWpLpTHZuIZC4lUyIzWHI9qkeBnwElwILR9g3gXBrEFte0Hnn6gUNbnqjtaa2arjizRdwZ6CvJDc6AzocZmUxdwh23nJUATdKoTSgSDmqznQJd/bTf/Tx/+PYGDg3EaMetRj2ntucicr6UTInMcMn1qHbitk9vwe32d8bwPYMtzsW5ygfbDMRbBnv6f7Dv6Uefra94PJqI96cg7IxkaG3xGXPWgq5ZJ/MaUIC3TSgiDJsvBTAQI9HeyymPriET4Dg424/y2t//hvs3V2CBzcC3Q2Fbm+rYRCQ7qAGFiABQHqlouLb0qu8C64EPA61AF1hycf7cByd8cEa74Kfr9+wrb62u/tvV712/pGDu6lTEnUmKgwN+yEl1GFPOZmYDCnCH+r3iwXkacZMpH8M6+0XaaZg/i1IPriHjaO6i4ZcvsPHNY2/dHPp+KGxVURcRT6kyJSJvKY9URMsjFY8B38OtTi0NYq8LYI0PwiMd09Df0XNXxcYHXoxUhWJOIjqtAWeQhBOLLcwLzIxObpmdTJ23UNjGcBfJHqkJRcSLa8joYgliz1ey+e9/wx/fPEYBUA58Q4mUiEwFJVMicpbySMUB4A6wlTk4q/ywy4wwbGmoDTW7yn9StfnuU/1d1dMTZWZxbOupgM83Q0YDZOQwP5iGJhT769SEYirVtnD0fz/E3T/bTHXCYQ7wC+CeUNh2pTo2EclOSqZEZETlkYouMD/3wz8at0q1eLxjanpaOu/c++TvtkYObBxMxPqmIcyMURTonTkT3TN3VtjF3HFLsUfnOsYISw7sOqEmFFNhIErfI9vZ8I/3seFQhBKgGrca9UYonJENUUQkQ8yQu6QiMhnlkQoHeHldaVkV8DngctxFfgdHO8YCj9fs3L01UlX11xfd8L5LikuvnxFNF8ZgrWMXFvjnpzqO6WIyd5ifwV1vaqsH5xqxAhWN47T10LSgmCUeXGPGcyx2fx27f7aZFxs7mQvMBn4N3O+NlQAAGeNJREFUvB4KW2ecw0VEzpuSKREZ19ZIVfO60rIfATcBfw1EYeyuZG3R3oGfH9jyzJVzl4U/esH1H1qQV3zBdMSajuJOx6k8v39mzJcCMDaTk+fr8SaZamK0JhQdNCiZOn8N7VT/9iU27ThGL27lfAfwQChs21McmojMIEqmRGRCtkaqEsCL60rLDgD/BbgYOAnExjqusr2+qbK9/r7bll1zxU2L19yaH8jxai2fjJHn7xyYUX9uM7cyBW5l6ryFwja+fq2pBeYAZ8zXOXGKhqtWeHGVmam7n44/hXnuke0cBpbg3tz5EVChIX0iMt1m0Lu7iHhha6Qqsq607HvArcDHgH6gebzjnqrfs++lxgOH/vrCG268fO6yG/zGd9Z8kmy1IM/OTnUM08lkfmXKKweBWxiWTO2ro+EjXl5lhojGib5+mFd/sYVt/VGKgeXA88CTobDtTXF4IjJDGaubOCIySetKy1YAfwtchDusaUJNJ1YXLyr5q5Xv/IuZsDZV3Oluv2x2x9xUxzGdWosP1ZbOJZNrL3O5c0vH+Z5k/VpzPfAF4IwFYoN+fA9/ka8F/LqhORGOxR44yZ57nufF2lYGcatRjcD/C4Xt0RSHJyIznLr5icikbY1U1QLfxW0/XIB7p3jcitORrqa2uyo2PvBETfjBnthAVs9v8Ju2zlTHMN0yvDIFHg31w21CcdYdy1jCbULh0TWyWqSD2h9u5Ndfe4iNta0UA4uAx4F/VSIlIulAd8VE5Lwk51JtW1daVgncBnwQd+jfmA0qAF6I7D/8WtPhY5+88F3vvrbkgvcGfP7gFIc77eblxAsgJ9VhTDNrMrk/Ou5Qvxc8OM8p3OYTZzWhaGinYeFslnpwjazU2k1jaDdbn9jJYWAesBLYBjweCttxhxWLiEwXJVMi4omtkaoe4KF1pWWv4Xb8uxx3LlXPWMcNOrHE746+9uqLhVV7P7nqz269oGj+5dMQ7rRIOP19c3ODC1Idx3QzJrMzKTyaN5VsQlEDlDC8CUUzDdes9OIq2aW9l+Zn9vDSI9uosm61exXumlE/DYXtkdRGJyJyNg3zExFPbY1U1QM/BP4dd8jfBcC4Fae63rauH+575rEHj2/7XWe0b9yqVmZobZ6Ja2z5fEqmhjgAnNXBcl/dyOtQzVRdfbQ9toMnPvcL7nl4G4ctrMBNpn4BfFuJlIikKzWgEJEps660LB+36996II47aXzcPzo+jPmPy6+54t0LV980K5g3b4rDnDJF/mMnSwtyZtxQrq55VY3zi/yLUx3HeZrHnVvazvck69eatbhNKOqGbg/4MI98ia8F/OPfaMhmPQN0vrCPl3//KntjCSzuelEB4GlgUyhsJ9TURkQkVTTMT0SmzNZIVT/wp3WlZduBT+BO7G8DxmzK4GDtxrryymfq9+67bfk1V92w4OIbi4J5JdMQsmcSTiy2oDAwcxbqHSILhvmBW516zoPzjNiEIu5gW7ppXDyH5R5cI+P0DdLz0gFeue9ldg/ESODOiyoGdgKPhsJWDTpEJCMomRKRKbc1UtW0rrTsZ7jzqD6DO5k8AgyOdVzCOvZPtbv3Pl23p/K25ddedcOCi28sDOZmRJtxh9amgM+3LNVxpIIxWTGE3Ktk6hRuMuUHEkNfiHQQmWnJVFcfba8cYtv9r7Gnb5A47nyyYuAo8HPgsBbeFZFMomRKRKbF1kiVBfatKy27A1gH3I7b8i3CsE5nw8Wt4zxZG97zVF15xfoV1139rgUX3VgYyJ0z9VFPXlGg15l5XfxcvuyoTHnSHj0Uton1a80JYAHDKrLHT9Fw7UovrpL+TnVx8vkKXn90BwcdiwXmAHNxm0v8EqhSEiUimUjJlIhMq62RqiiweV1p2U7chOo9QC9u578xxa3jbKjZVb6xrnzv+uXXXvOO+Re+Jx2H/znWsYvy/DOui99pWVSZ8spB4EKGJVOVtTTc/k4Pr5JmrIWaFo5s3M3rz1dSk9xcjDuk7yTwW6AyFLZj3kwREUlnakAhIim1rrTsYuBjwBrcNuotEz3WhzF/seyqsncvXP3nc3IK0qbhQSzR2lg2py9t4plug4urOmbl+tO6cjhBC7lzy3mvabR+rbkW+Cegduh2n8E8+mW+FsyyJhQJh8TBBiof3c4bu6vfuklSBMzHHfb4MLAnFLaJUU8iIpIhVJkSkZTaGqk6uq607PvAatxK1RqgmwkkVQ7WPlO/d/8z9Xv337z4sotvWrzmvQvyZq2Y4pDHlefvHJxAN/is5cuOyhS41alnPTjPiE0oHItt6SZSOoeU/8x6YTDOwN5qwve/zo7qZrqTm08nUa24bc53hcI2nrIgRUQ8pmRKRFIuOZ/q8LrSsu8Bl+ImVatxk6rWiZzjpcYDR19qPHD0XfMvWv7+JWXvXVIwd/XURTy2BXlkQ1Vm0nzGZEsytRZvkqlm3OYTZzWhaGinIdOTqaZO6l8/xK7HdrC/x20qAe58qNm4N0V+A+wIhW0sZUGKiEwRJVMikjaSSdXBdaVld+FWqD4GXAR04bZUH9eOlmN1O1qOPXDl3GWL3lda9s5VRQuuCPj809YJIu50tc0KBtNuHtd08hn8qY7BI57MmwqFrbN+rTkOLGJ4E4omGtau8uIq0ysaZ7DqJBVP7Sb85jFOtzE3uN9jPnCCt+dEaTifiGQtJVMiknaSSdWBdaVl3wHKgI/iJlV9uHf5x53sWdle31TZXr9xVjBv861Lrrzi6pLla0tyi5ZMaeBAwLR3gW9GJ1NZ0oACvG9CcTHDm1DUEfmrP/PwKlOsuYvItiPsemQ7lV39nK40+XGTqCCwF3gGOKLufCIyE6gBhYikvXWlZQZ32N963LWqBnEnsp9TF7Cr5i5ffOPiNdddNGvBVUFfINf7SKEk51jzvNycGdvJD8C3/GA84DPZcrNuMXduOe8FZNevNdcAX2RYEwoDPPplvpYTSN8++rEEsYMNVD5Tzq7XDxMZ8lIObhIF8BrwXChsT05/hCIiqZMtb3YiksWGzKn6EbAC+I/AO4AY0MSweSijqWiva6xor3umMJD7/AeWXHH5NSUrrpufN8uzRVPjTn9vSU5wRidSkFXD/MCtTj3twXlGbEJhgZZuIkvmcoEH1/CM4+DUtXF85zEq/xTmYGcf0SEvF+POiRoEngJeDoXthIbhiohkGyVTIpIxkklVDXD3utKyUuBW4Mbky43AhCa498YHY0/Whvc8WRveUzZn6YKbF69Ze/GsRVfl+AP55xOfobXFGFN4PufIdI51rM+YbFi09zSvkqkW3J/PAHBGN7uGdhrSIZmyFpo6qdt9gso/hdkf6aBvyMt+YCFuNaoB2ACUh8K2NxWxioikCyVTIpKRtkaqIsDv1pWWPQW8H3gfkIvbrKJ9ouep6jjZXNVxclOeP7jlA0uuuOzaeResXZhXPKkPtnNyBoOk72itaWGN40BWVabWenGSIU0olgAdQ1871kTD9Rd6cZXJaevh1N5aKp8up/Jw5Mw5XcAs3CqUA7wOvAyc0HwoERGX5kyJSFZYV1qWD1wJ/AWwCnfo3yk4Y3jShFxavHjeutKy61YXL7om1x8smMgxCScWXT2rwe/3+bIpkThnMRuNFq48kU0ZZYQ7t3jSuGT9WrMed95f/dDtVyyn5K5P8E9eXGOiuvpoqzpJ1XOVVO46zqlhLw+tQjXhtocPh8K2ZzpjFBHJBEqmRCSrJJtVLAXeA9wM5OGuV9XOBLoADpXjC/jfX1p26ZUly69Ykj/n4oDPP+pKvPFEY/1lc2LLJh95dojawf6ildXnNVwyDS3lzi0N53uS9WvN1bhNKOqGbk82ofhqToApaYoC7gLBTZ3UVdVz6OUDHN5TM+Ki2KfnQiWAN4GtwLFQ2J5ToxcRkZlEw/xEJKsk51XVAw+vKy17Erda9UHcttQObrVqcCLnijrxxLMnK6qePVlRVeDPCbx30aUXXzF3WdmywrmXDO8GWBTstTN9iB9Awh3ml22uB0IenGfEhMzithxfWsJKD67xlmicwZoWju6t4fDmCo40ddI/wm6FQAngw+00GAJ2h8K2y8tYRESylZIpEclaWyNVg8AuYNe60rIlwA2486vygR7chYAnVK3qS0TjmxsqD25uqDyY4/P7r5q76D+/e+Ga/pVFiy4I+Hx5C/P8M76LH4AlK5OptXiTTLUyShOKk+00eJFMdfXTfqSRQzuOcvjF/dRE4yMuH5AHzMdNoFqBx4ByoElzoUREzo2SKRGZEbZGqhqAx9eVlm3EXavqA8BluNWqZmBgoueKObGSfe3Hu6s6jm0I+HzmHfMuXH7LkrmXXTxr9iXFOTkzesFeizOhNvUZxpPFe5NNKI4CyxnWJOVYEw3vvOjcz9k7SHd9K9WHIlRvO0L1/npGa1EexE2ggrg3Ep7FvdFQqwRKRGTylEyJyIyyNVIVxb0LX76utGwRbrXqFtzFR3txq1VjVld8xllloMkYSFjHbm85Wru9hVpg8xVz5s27afGSSy6bXXLJovyCFX5jfFP8LaUVJ3srU145iJvEn5FM7a2h4VPvHv/gvkG665LJ0/ajVO+rGzV5ArcCVYLbUCKGu7DuDtx5UNmY9IqITDs1oBCRGW9daVkQKMMdAng5bk+APkZJrHJM9Da/L1HhM9SOdd6SnNzcW5Ysv+jqkvmXrCictaowECyegvDTSpdpb5m/4tT8VMcxBZZz55b68Xcb2/q15irgSwxrQgHw6Jf4/3KD5A3d1jNAZ0M7dYciVO84QnVFHa1jnN7gtjKfnXzeBWwH9uImUOfc2VJERMamypSIzHhbI1Ux3A+ce9eVls0C1gDvxm1e4cMdAtgKJAx2ljG2wIzwYXi4tujg4CPVR6seqT5aBXBJ8Zw575y/aMXq4jkrlhUUrZiTk7Mgu9a3BUvW3qG7nmEtzSdp1K6Ata0cyw2SV9/KycMRTu48zsm6VsZbFNeP24GvEHf+Xy2wCTgAnFQnPhGRqaXKlIgAYIzpsdYWneMx1cD11tqR2ixP+fWn2rrSsgLgUuBdwHVAwG8Sy4Imluv32a3ne/4Fefl5716weMVlc0pWrCictWJBbt6STF+nqt3X0rRoeeuiVMcxBb7LnVu+cb4nWb/WGOBu3KpnbJKnKcKtPvlw25hX4rYyPxwK2wkvWC0iIudPyZSIACMnM8YYv7Wjz63I9mRqqHWlZbnAJQET+3COL77GGOK4lYB23An95y3f7/ffsKB06ZVz561YWVS8YnF+wfJcvz9v/CPTR7uvObJoeVtpquOYApu4c8uHvDjR+rXmn4EVDJs3NYahyZPBrW6V41afjoXCdkKt/kVExHsa5iciZzDG3Az8KxABrgHKjDH/GXex0RzcCexfGJ5kGWOexO1Slgf8u7X2V8ntPcC/A7cB/cBHrLVNxphVwAO4f4c2TcO3dl6SbdYrgcrblq8KABfgzrN6N+4HY3AbWLQzTgOL0fQnEokXG+trX2ysrwX3U/N18xYsvLZkwYoLZ81evjAvf9HsYM78dK5eWeNk2x2647iJy8senvMA7s/OaMlUETAH90fgdPK0DTgE1ITCttvDWERE5DyoMiUiwNuVoWQy9TRwhbX2hDHmMuAHwEettTFjzN3Admvt74dWpowxJdbaNmNMPrATuMla22qMscB6a+1GY8wPgC5r7XeMMSHgseR5/jvw/XSuTI3mtuWrDDAPuAT4M9wPyacnQnUnH551Tgv6fL7LZ5eUXDJ7zsILCmctWpxfuHBebt7ComBwri8NJmC1+htPli7rXJrqOM5VNOEMdg7EWxt7o11t/bEDN10w96fAHu7c0uH1tdavNVcAX8GddxcAinHnPIFbfTpdeToEVCt5EhFJX6pMichI3rTWnkg+fz9ua+idyc/q+cCpEY75ojHmL5PPlwOrcZs2RIGnktvDuOs7AbwHuD35/A/A9738BqbLU3UnLNCSfLxx2/JV+biVqlXA1cDFvD08qw+3w9qku6rFHMfZ097Ssqe9pQWoOr19ViAYvGxOybwLi4rnLSkonL8gL39eSW7evNk5OfNyfP7cSX+D5yidK1OxhBPtGky0tQ3EWlv6om2RnmhrTedA26HWvtaG7sG+5G45wKwfba99OXS4eaq+l9NNKJbj/iwcxq1W1QL1obDtmqLrioiIx5RMichIhnYQM8DvrLVfG23nZDXrFuAGa22fMeYleKvFc8y+XQJPcObfnbT94D1ZT9Wd6MetKBwCNt22fFUQWII7LPBK3MpVHu6/axToxB3+eF6647HYmy1NjW+2NDUOf215YVHRJcVz5i0rKJo7Jye3qDiYU1QUDBYVBoKFBYFAUYE/UJTj0dysVHbzizs23hdLdPfFEj090UR3a3+svbEn2lrbOdB2uK2vtaZzYCJz26JAAe4wu6lq5tAO3In7e9aqjnsiIplLyZSIjOcF4E/GmH+z1p4yxpQAs6y1NUP2mQ20JxOpNbjD3cbzOvBJ4H7g055HnSaeqjsRA2qSj1eSwwIX4lavLsNNsFbgJpYObuWqBw8Tzbrenp663p6eZAwjyvf7/UsLiooW5RcULsjLLyrJyS2a/XbiVVgYCBQV+INFOX5ffsD4An5jgiOOKjTnnxckHJtIWBtPODYetzYWS9hof9zp64slentjib7eaKKvezDR1zkY72vtj/U09gz21HUNdrf2x7xqxGCAUqYomQqFrQWqp+LcIiIyvZRMiciYrLVVxphvAM8ZY3y47Zz/O2d+MN8EfN4YU4Fbkdk+gVN/CXjAGPMl4HGPw05byWGBTcnHToDblq+ajZtQXYw7NHA5bjJlkl97k48pW3S1P5FIHO3u7Dza3dk50WNycmK3FuaY2tk5ufX5/kAg3x8M5uQkfHk1sUDAZ3x+Y3x+n/H5DcbvMz6fMWYw4cQH4+6j/61HIt4XTcT6Yk68N5aIT3NpKx+34UM+b/+b9wDqkCciIuNSAwoRkTRz2/JVubjVq4XAUtwkayXuh34Hdw5WHHd4YB+p+uAfGPig8ccPGV/aV1kCuMnS6cfp8pnBndd3DHfeUgNuF8uuKZwvJSIiWUTJlIhIBkgODywEFuEmWctwq1nLcOf3JHi7lfYgbqIVTT6mZk5OYOBDJhDfbwy1U3L+c+PnzIQJ3k48B4FG3O55dUAz7qK5LaHDzX1nn0pERGRilEyJiGS4ZCVrXvKxADfJWgrMxZ3P5scdwnZ6GNvpyU4x3k64Tj8m/qYQGPgPJhDfY8xb3em8ZnCrSsHkIyf5COAmSqdjPT38NAKcxB2C2oJbdWoDelRpEhGRqaBkSkQkiyUrWnm4QwSLcKtbRbhrG83HTcDm4la3Zg859PSbgxny9fRzB3AIDFxvAvHDxtDG28maHXasDzeZ8w15DL2GHfKcIcedfvTiNuXoBDpwq0qtuOt39Qz5qoRJRESmnZIpEREB3kq8Cng76SrArQKdrg6d/poH5OGPXmiC0RZjsLydMPmHPI8BA7gVr8Hk14Hk9hjuvK+hj9Pbe3HngvWHDjerbbiIiKQtJVMiIiIiIiKT4Bt/FxERERERERlOyZSIiIiIiMgkKJkSERERERGZBCVTIiIiIiIik6BkSkREREREZBKUTImIiIiIiEyCkikREREREZFJUDIlIiIiIiIyCUqmREREREREJkHJlIiIiIiIyCQomRIRGcYY85Ix5oPDtn3ZGHOvMeaxcY5daYz566mNUERERNKBkikRkbM9CHxy2LZPAr+11n5snGNXAkqmREREZgAlUyIiZ3sMuM0YkwtutQlYAtQbY/Ylt/mNMT80xuw0xlQYY/4heez3gPcaY/YYY75ijPlbY8wGY8wmY8wRY8wPTl/EGHOPMWaXMWa/MeZbQ7ZXG2PuMsZsS75+nTFmszHmmDHm89P0b5BxjDE9ya8Tqg4m99s39ZGJiEi2UjIlIjKMtbYVeBP4i+SmTwIPA3bIbv8F6LTWvgN4B/BfjTGrgK8Cr1prr7HW/lty32uATwBXAp8wxixPbv+6tfZ64CrgJmPMVUPOX2etvQF4FbgP+BjwZ8C3Pf1ms9NKVB0UEZFpoGRKRGRkQ4f6fTL530PdCvyNMWYPsAOYB6we5VwvWGs7rbUDQBVwQXL7x40xu4Fy4HKgbMgxoeTXSmCHtbbbWtsMDBhj5pzH9zUTDK8OrjTGvGqM2Z18vHv4AcnXrxny368PS25FRETOomRKRGRkTwLvN8ZcB+Rba3cPe90A/5SsQF1jrV1lrX1ulHMNDnmeAALJKtb/BN5vrb0KeBrIG+EYZ9jxDhCY3Lc0YwyvDp4CPmCtvQ63QvjTEY75DfC3AMaYS4Bca23FNMUrIiIZSsmUiMgIrLU9wEvAvZxdlQLYDPw3Y0wQ3A/gxphCoBuYNYFLFAO9QKcxZhHwIS/ilhEFgV8bYyqBRzmzAnjao7jz5ILA3+EOrRQRERmT7m6KiIzuQWADZ3f2A7eSsRLYbYwxQDPwn4AKIG6M2Yv7gbx9pBNba/caY8qB/cBx4HWvg5e3fAVoAq7GvYk4MHwHa22fMeZ54CPAx4HrpzVCERHJSMZaO/5eIiIiac4Y02OtLTLGrAV+bK29Kbn934B6a+2PjDGfA+611ppkl8anrLVXJPdbC2zEHSL4idR8FyIikkk0zE9ERLLNW9VBY8xXgLuBzxpjtgOX4A6vPIu1Ngx0Ab+dtkhFRCSjqTIlIiICGGOW4M6TW2OtdVIcjoiIZABVpkREZMYzxvwNbov7ryuREhGRiVJlSkREREREZBJUmRIREREREZkEJVMiIiIiIiKToGRKRERERERkEpRMiYiIiIiITIKSKRERERERkUlQMiUiIiIiIjIJ/z+ThqQpwaSIPwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#I chose a better visualization pallette?\n",
    "labels = df_us_deficit.index.tolist()\n",
    "df_normalize_percentage= df_us_deficit['Trade Balance (US$ Thousand)']/us_world_blance\n",
    "sizes = df_normalize_percentage.tolist()\n",
    "colors = ['#003f5c','#2f4b7c','#665191','#a05195','#d45087','#f95d6a','#ff7c43','#ffa600']\n",
    "\n",
    "#split china out\n",
    "explode = (0, 0, 0, 0,0,0,0,0.1)\n",
    "fig, ax = plt.subplots(figsize = (15,10))\n",
    "ax.pie(sizes, labels=labels,explode=explode, colors = colors, autopct='%1.1f%%',\n",
    "        shadow=True, startangle=90)\n",
    "ax.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.\n",
    "ax.set_title('U.S. 2018 Trade Deficit Top 8 Partners',size = 20)\n",
    "\n",
    "import matplotlib as mpl\n",
    "mpl.rcParams['font.size'] = 15\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2.The Relative Trade Deficit Position, 45 Degree Line Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 382,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Reporter Name</th>\n",
       "      <th>Exports</th>\n",
       "      <th>Imports</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>1.769009e+06</td>\n",
       "      <td>1.481318e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Albania</td>\n",
       "      <td>2.875860e+06</td>\n",
       "      <td>5.941287e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Algeria</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>1.294482e+05</td>\n",
       "      <td>1.609394e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Angola</td>\n",
       "      <td>3.768468e+07</td>\n",
       "      <td>1.635306e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>Venezuela</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>Vietnam</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>Yemen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>9.052165e+06</td>\n",
       "      <td>9.461739e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>4.037203e+06</td>\n",
       "      <td>6.258856e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>203 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Reporter Name       Exports       Imports\n",
       "0     Afghanistan  1.769009e+06  1.481318e+07\n",
       "1         Albania  2.875860e+06  5.941287e+06\n",
       "2         Algeria           NaN           NaN\n",
       "3         Andorra  1.294482e+05  1.609394e+06\n",
       "4          Angola  3.768468e+07  1.635306e+07\n",
       "..            ...           ...           ...\n",
       "198     Venezuela           NaN           NaN\n",
       "199       Vietnam           NaN           NaN\n",
       "200         Yemen           NaN           NaN\n",
       "201        Zambia  9.052165e+06  9.461739e+06\n",
       "202      Zimbabwe  4.037203e+06  6.258856e+06\n",
       "\n",
       "[203 rows x 3 columns]"
      ]
     },
     "execution_count": 382,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2018_ex_im = pd.merge(df_2018_exports, df_2018_imports, on=\"Reporter Name\")\n",
    "df_2018_ex_im"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 383,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_2018_ex_im.set_index(\"Reporter Name\",inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 384,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Exports    1.665303e+09\n",
       "Imports    2.611432e+09\n",
       "Name: United States, dtype: float64"
      ]
     },
     "execution_count": 384,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2018_ex_im.loc[\"United States\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 385,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Exports</th>\n",
       "      <th>Imports</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reporter Name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Afghanistan</th>\n",
       "      <td>1.769009e+06</td>\n",
       "      <td>1.481318e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>2.875860e+06</td>\n",
       "      <td>5.941287e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Andorra</th>\n",
       "      <td>1.294482e+05</td>\n",
       "      <td>1.609394e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Angola</th>\n",
       "      <td>3.768468e+07</td>\n",
       "      <td>1.635306e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Antigua and Barbuda</th>\n",
       "      <td>2.584108e+04</td>\n",
       "      <td>5.691552e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>1.665303e+09</td>\n",
       "      <td>2.611432e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Uruguay</th>\n",
       "      <td>7.498005e+06</td>\n",
       "      <td>8.893246e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Uzbekistan</th>\n",
       "      <td>1.091901e+07</td>\n",
       "      <td>1.731395e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zambia</th>\n",
       "      <td>9.052165e+06</td>\n",
       "      <td>9.461739e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zimbabwe</th>\n",
       "      <td>4.037203e+06</td>\n",
       "      <td>6.258856e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>131 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                          Exports       Imports\n",
       "Reporter Name                                  \n",
       "Afghanistan          1.769009e+06  1.481318e+07\n",
       "Albania              2.875860e+06  5.941287e+06\n",
       "Andorra              1.294482e+05  1.609394e+06\n",
       "Angola               3.768468e+07  1.635306e+07\n",
       "Antigua and Barbuda  2.584108e+04  5.691552e+05\n",
       "...                           ...           ...\n",
       "United States        1.665303e+09  2.611432e+09\n",
       "Uruguay              7.498005e+06  8.893246e+06\n",
       "Uzbekistan           1.091901e+07  1.731395e+07\n",
       "Zambia               9.052165e+06  9.461739e+06\n",
       "Zimbabwe             4.037203e+06  6.258856e+06\n",
       "\n",
       "[131 rows x 2 columns]"
      ]
     },
     "execution_count": 385,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2018_clean = df_2018_ex_im.dropna(axis=0)\n",
    "df_2018_clean "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 386,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Exports    0\n",
       "Imports    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 386,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "null_sum_clean = df_2018_clean.isnull().sum()\n",
    "null_sum_clean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 387,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_2018_clean  = df_2018_clean / 1000000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 388,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2494.230194966"
      ]
     },
     "execution_count": 388,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2018_clean.loc[\"China\"][\"Exports\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 389,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "background_1 = tuple(np.array([253, 238, 222]) / 255)\n",
    "def scatterlabels(xvar, yvar, ax):\n",
    "    df_2018_clean.plot(xvar,yvar, kind=\"scatter\", color= \"blue\", alpha=0.8, ax=ax, s=50)\n",
    "    for idx in df_2018_clean.index :\n",
    "        if idx == \"China\" :\n",
    "            \n",
    "            ax.annotate(\"China\", (df_2018_clean.loc[\"China\",xvar], df_2018_clean.loc[\"China\",yvar]), color=\"black\",size=20)\n",
    "        \n",
    "        elif idx == \"United States\" :\n",
    "            \n",
    "            ax.annotate(\"United States\", (df_2018_clean.loc[\"United States\",xvar], df_2018_clean.loc[\"United States\",yvar]), color=\"black\",size=20)\n",
    "       \n",
    "           \n",
    "        \n",
    "    return(ax)\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(20,10))\n",
    "ax = scatterlabels(\"Exports\",\"Imports\",ax)\n",
    "ax.set_xlabel('Exports',size=20)\n",
    "ax.set_ylabel('Imports', size =20)\n",
    "ax.set_title(\"2018 Imports Against Exports by Nations, by Million USD\",size =20)\n",
    "lims = [\n",
    "    np.min([ax.get_xlim(), ax.get_ylim()]),  # min of both axes\n",
    "    np.max([ax.get_xlim(), ax.get_ylim()]),  # max of both axes\n",
    "]\n",
    "# now plot both limits against eachother\n",
    "# a 45 degree line \n",
    "ax.plot(lims, lims, 'k-', alpha=0.5, zorder=0)\n",
    "ax.set_aspect('equal')\n",
    "ax.set_xlim(lims)\n",
    "ax.set_ylim(lims)\n",
    "ax.spines[\"right\"].set_visible(False)\n",
    "ax.spines[\"top\"].set_visible(False)\n",
    "ax.annotate(\n",
    "    \"45 degree line\",\n",
    "    xy=(10, 20), xycoords=\"data\", xytext=(2000,2000),\n",
    "    annotation_clip=False,\n",
    "    horizontalalignment=\"left\",\n",
    "    arrowprops={\"visible\": False},\n",
    "    fontsize=12, fontweight=\"semibold\", color = tuple(np.array([139,0,0]) / 255),size =10)\n",
    "\n",
    "fig.tight_layout()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  3.Trade War in Detail\n",
    "## 3.1  5-digit End Use Code Goods Trade Value during the Trade War"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 628,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "\n",
    "\n",
    "url = 'https://www.census.gov/foreign-trade/statistics/product/enduse/imports/c5700.html?'\n",
    "html = requests.get(url).content\n",
    "df_list = pd.read_html(html)\n",
    "df_end_use = df_list[-1]\n",
    "\n",
    "df_end_use.to_csv('my data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 649,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>End-Use Code</th>\n",
       "      <th>Value 2010</th>\n",
       "      <th>Value 2011</th>\n",
       "      <th>Value 2012</th>\n",
       "      <th>Value 2013</th>\n",
       "      <th>Value 2014</th>\n",
       "      <th>Value 2015</th>\n",
       "      <th>Value 2016</th>\n",
       "      <th>Value 2017</th>\n",
       "      <th>Value 2018</th>\n",
       "      <th>Value 2019</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>TOTAL</td>\n",
       "      <td>364952634</td>\n",
       "      <td>399371233</td>\n",
       "      <td>425619083</td>\n",
       "      <td>440430020</td>\n",
       "      <td>468474895</td>\n",
       "      <td>483201655</td>\n",
       "      <td>462419992</td>\n",
       "      <td>505220233</td>\n",
       "      <td>539675591</td>\n",
       "      <td>452243440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>(41050) Cell phones and other household goods,...</td>\n",
       "      <td>32612041</td>\n",
       "      <td>40437973</td>\n",
       "      <td>52820617</td>\n",
       "      <td>58708992</td>\n",
       "      <td>64102970</td>\n",
       "      <td>64538065</td>\n",
       "      <td>61465082</td>\n",
       "      <td>70339967</td>\n",
       "      <td>71872376</td>\n",
       "      <td>64552117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>(21300) Computers</td>\n",
       "      <td>39343305</td>\n",
       "      <td>47212554</td>\n",
       "      <td>47638124</td>\n",
       "      <td>47154020</td>\n",
       "      <td>46246719</td>\n",
       "      <td>43804679</td>\n",
       "      <td>40407803</td>\n",
       "      <td>45400673</td>\n",
       "      <td>47178858</td>\n",
       "      <td>42379802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>(41120) Toys, games, and sporting goods</td>\n",
       "      <td>27817414</td>\n",
       "      <td>25306178</td>\n",
       "      <td>25115136</td>\n",
       "      <td>24632369</td>\n",
       "      <td>24432816</td>\n",
       "      <td>26355499</td>\n",
       "      <td>25044156</td>\n",
       "      <td>26726633</td>\n",
       "      <td>28222683</td>\n",
       "      <td>26512710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>(40020) Apparel, textiles, nonwool or cotton</td>\n",
       "      <td>17317807</td>\n",
       "      <td>19754755</td>\n",
       "      <td>20619014</td>\n",
       "      <td>21554715</td>\n",
       "      <td>23924860</td>\n",
       "      <td>25645126</td>\n",
       "      <td>24143354</td>\n",
       "      <td>24114281</td>\n",
       "      <td>25140494</td>\n",
       "      <td>24453425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>(41140) Musical instruments</td>\n",
       "      <td>655151</td>\n",
       "      <td>660364</td>\n",
       "      <td>674404</td>\n",
       "      <td>647305</td>\n",
       "      <td>708923</td>\n",
       "      <td>703271</td>\n",
       "      <td>708904</td>\n",
       "      <td>717117</td>\n",
       "      <td>777382</td>\n",
       "      <td>816483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>(41100) Motorcycles and parts</td>\n",
       "      <td>133870</td>\n",
       "      <td>181086</td>\n",
       "      <td>229314</td>\n",
       "      <td>254189</td>\n",
       "      <td>260398</td>\n",
       "      <td>478429</td>\n",
       "      <td>466435</td>\n",
       "      <td>568479</td>\n",
       "      <td>842384</td>\n",
       "      <td>724828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>(21110) Food, tobacco machinery</td>\n",
       "      <td>430348</td>\n",
       "      <td>509068</td>\n",
       "      <td>551661</td>\n",
       "      <td>585582</td>\n",
       "      <td>671607</td>\n",
       "      <td>725335</td>\n",
       "      <td>755540</td>\n",
       "      <td>806258</td>\n",
       "      <td>796777</td>\n",
       "      <td>681196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>(22010) Parts-civilian aircraft</td>\n",
       "      <td>303580</td>\n",
       "      <td>413779</td>\n",
       "      <td>445631</td>\n",
       "      <td>509563</td>\n",
       "      <td>535630</td>\n",
       "      <td>534547</td>\n",
       "      <td>522628</td>\n",
       "      <td>600075</td>\n",
       "      <td>676175</td>\n",
       "      <td>651946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>(00180) Other foods</td>\n",
       "      <td>339091</td>\n",
       "      <td>431406</td>\n",
       "      <td>495041</td>\n",
       "      <td>534875</td>\n",
       "      <td>475411</td>\n",
       "      <td>496359</td>\n",
       "      <td>513580</td>\n",
       "      <td>598441</td>\n",
       "      <td>711488</td>\n",
       "      <td>642395</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>70 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          End-Use Code  Value 2010  \\\n",
       "141                                              TOTAL   364952634   \n",
       "121  (41050) Cell phones and other household goods,...    32612041   \n",
       "84                                   (21300) Computers    39343305   \n",
       "124            (41120) Toys, games, and sporting goods    27817414   \n",
       "108       (40020) Apparel, textiles, nonwool or cotton    17317807   \n",
       "..                                                 ...         ...   \n",
       "126                        (41140) Musical instruments      655151   \n",
       "122                      (41100) Motorcycles and parts      133870   \n",
       "74                     (21110) Food, tobacco machinery      430348   \n",
       "92                     (22010) Parts-civilian aircraft      303580   \n",
       "11                                 (00180) Other foods      339091   \n",
       "\n",
       "     Value 2011  Value 2012  Value 2013  Value 2014  Value 2015  Value 2016  \\\n",
       "141   399371233   425619083   440430020   468474895   483201655   462419992   \n",
       "121    40437973    52820617    58708992    64102970    64538065    61465082   \n",
       "84     47212554    47638124    47154020    46246719    43804679    40407803   \n",
       "124    25306178    25115136    24632369    24432816    26355499    25044156   \n",
       "108    19754755    20619014    21554715    23924860    25645126    24143354   \n",
       "..          ...         ...         ...         ...         ...         ...   \n",
       "126      660364      674404      647305      708923      703271      708904   \n",
       "122      181086      229314      254189      260398      478429      466435   \n",
       "74       509068      551661      585582      671607      725335      755540   \n",
       "92       413779      445631      509563      535630      534547      522628   \n",
       "11       431406      495041      534875      475411      496359      513580   \n",
       "\n",
       "     Value 2017  Value 2018  Value 2019  \n",
       "141   505220233   539675591   452243440  \n",
       "121    70339967    71872376    64552117  \n",
       "84     45400673    47178858    42379802  \n",
       "124    26726633    28222683    26512710  \n",
       "108    24114281    25140494    24453425  \n",
       "..          ...         ...         ...  \n",
       "126      717117      777382      816483  \n",
       "122      568479      842384      724828  \n",
       "74       806258      796777      681196  \n",
       "92       600075      676175      651946  \n",
       "11       598441      711488      642395  \n",
       "\n",
       "[70 rows x 11 columns]"
      ]
     },
     "execution_count": 649,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_end_use = df_end_use[(df_end_use != 0).all(1)]\n",
    "df_end_use_1 =  df_end_use.nlargest(70,'Value 2019')\n",
    "df_end_use_1 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 650,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>End-Use Code</th>\n",
       "      <th>(41050) Cell phones and other household goods, n.e.c.</th>\n",
       "      <th>(21300) Computers</th>\n",
       "      <th>(41120) Toys, games, and sporting goods</th>\n",
       "      <th>(40020) Apparel, textiles, nonwool or cotton</th>\n",
       "      <th>(21400) Telecommunications equipment</th>\n",
       "      <th>(21301) Computer accessories</th>\n",
       "      <th>(41000) Furniture, household goods, etc.</th>\n",
       "      <th>(41030) Household appliances</th>\n",
       "      <th>(30230) Other parts and accessories of vehicles</th>\n",
       "      <th>(20005) Electric apparatus</th>\n",
       "      <th>...</th>\n",
       "      <th>(12070) Tobacco, waxes, etc.</th>\n",
       "      <th>(42110) Gem stones, other</th>\n",
       "      <th>(50040) Other (movies, miscellaneous imports, and special transactions)</th>\n",
       "      <th>(12500) Plastic materials</th>\n",
       "      <th>(13020) Stone, sand, cement, etc.</th>\n",
       "      <th>(41140) Musical instruments</th>\n",
       "      <th>(41100) Motorcycles and parts</th>\n",
       "      <th>(21110) Food, tobacco machinery</th>\n",
       "      <th>(22010) Parts-civilian aircraft</th>\n",
       "      <th>(00180) Other foods</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Value 2010</th>\n",
       "      <td>32612041.0</td>\n",
       "      <td>39343305.0</td>\n",
       "      <td>27817414.0</td>\n",
       "      <td>17317807.0</td>\n",
       "      <td>16619084.0</td>\n",
       "      <td>28195127.0</td>\n",
       "      <td>13561429.0</td>\n",
       "      <td>9390599.0</td>\n",
       "      <td>7361394.0</td>\n",
       "      <td>11044289.0</td>\n",
       "      <td>...</td>\n",
       "      <td>644778.0</td>\n",
       "      <td>1512192.0</td>\n",
       "      <td>161174.0</td>\n",
       "      <td>571061.0</td>\n",
       "      <td>782220.0</td>\n",
       "      <td>655151.0</td>\n",
       "      <td>133870.0</td>\n",
       "      <td>430348.0</td>\n",
       "      <td>303580.0</td>\n",
       "      <td>339091.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Value 2011</th>\n",
       "      <td>40437973.0</td>\n",
       "      <td>47212554.0</td>\n",
       "      <td>25306178.0</td>\n",
       "      <td>19754755.0</td>\n",
       "      <td>17336848.0</td>\n",
       "      <td>27663608.0</td>\n",
       "      <td>13753109.0</td>\n",
       "      <td>10210570.0</td>\n",
       "      <td>9029238.0</td>\n",
       "      <td>12946856.0</td>\n",
       "      <td>...</td>\n",
       "      <td>760624.0</td>\n",
       "      <td>1577880.0</td>\n",
       "      <td>203950.0</td>\n",
       "      <td>808861.0</td>\n",
       "      <td>799358.0</td>\n",
       "      <td>660364.0</td>\n",
       "      <td>181086.0</td>\n",
       "      <td>509068.0</td>\n",
       "      <td>413779.0</td>\n",
       "      <td>431406.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Value 2012</th>\n",
       "      <td>52820617.0</td>\n",
       "      <td>47638124.0</td>\n",
       "      <td>25115136.0</td>\n",
       "      <td>20619014.0</td>\n",
       "      <td>19145602.0</td>\n",
       "      <td>28418685.0</td>\n",
       "      <td>14779785.0</td>\n",
       "      <td>11145330.0</td>\n",
       "      <td>11172211.0</td>\n",
       "      <td>11590260.0</td>\n",
       "      <td>...</td>\n",
       "      <td>899706.0</td>\n",
       "      <td>1661028.0</td>\n",
       "      <td>225795.0</td>\n",
       "      <td>812741.0</td>\n",
       "      <td>853707.0</td>\n",
       "      <td>674404.0</td>\n",
       "      <td>229314.0</td>\n",
       "      <td>551661.0</td>\n",
       "      <td>445631.0</td>\n",
       "      <td>495041.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Value 2013</th>\n",
       "      <td>58708992.0</td>\n",
       "      <td>47154020.0</td>\n",
       "      <td>24632369.0</td>\n",
       "      <td>21554715.0</td>\n",
       "      <td>20951280.0</td>\n",
       "      <td>28979113.0</td>\n",
       "      <td>15179327.0</td>\n",
       "      <td>12482507.0</td>\n",
       "      <td>11681762.0</td>\n",
       "      <td>12696414.0</td>\n",
       "      <td>...</td>\n",
       "      <td>945442.0</td>\n",
       "      <td>1613486.0</td>\n",
       "      <td>199275.0</td>\n",
       "      <td>903012.0</td>\n",
       "      <td>995017.0</td>\n",
       "      <td>647305.0</td>\n",
       "      <td>254189.0</td>\n",
       "      <td>585582.0</td>\n",
       "      <td>509563.0</td>\n",
       "      <td>534875.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Value 2014</th>\n",
       "      <td>64102970.0</td>\n",
       "      <td>46246719.0</td>\n",
       "      <td>24432816.0</td>\n",
       "      <td>23924860.0</td>\n",
       "      <td>22537644.0</td>\n",
       "      <td>31191054.0</td>\n",
       "      <td>16052809.0</td>\n",
       "      <td>13244246.0</td>\n",
       "      <td>13464650.0</td>\n",
       "      <td>13333796.0</td>\n",
       "      <td>...</td>\n",
       "      <td>964357.0</td>\n",
       "      <td>1486404.0</td>\n",
       "      <td>204473.0</td>\n",
       "      <td>1183041.0</td>\n",
       "      <td>1088456.0</td>\n",
       "      <td>708923.0</td>\n",
       "      <td>260398.0</td>\n",
       "      <td>671607.0</td>\n",
       "      <td>535630.0</td>\n",
       "      <td>475411.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Value 2015</th>\n",
       "      <td>64538065.0</td>\n",
       "      <td>43804679.0</td>\n",
       "      <td>26355499.0</td>\n",
       "      <td>25645126.0</td>\n",
       "      <td>27085100.0</td>\n",
       "      <td>30456135.0</td>\n",
       "      <td>17894345.0</td>\n",
       "      <td>14217862.0</td>\n",
       "      <td>14867660.0</td>\n",
       "      <td>13627422.0</td>\n",
       "      <td>...</td>\n",
       "      <td>998928.0</td>\n",
       "      <td>1354299.0</td>\n",
       "      <td>249775.0</td>\n",
       "      <td>1041041.0</td>\n",
       "      <td>1301605.0</td>\n",
       "      <td>703271.0</td>\n",
       "      <td>478429.0</td>\n",
       "      <td>725335.0</td>\n",
       "      <td>534547.0</td>\n",
       "      <td>496359.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Value 2016</th>\n",
       "      <td>61465082.0</td>\n",
       "      <td>40407803.0</td>\n",
       "      <td>25044156.0</td>\n",
       "      <td>24143354.0</td>\n",
       "      <td>29036921.0</td>\n",
       "      <td>28252467.0</td>\n",
       "      <td>18644665.0</td>\n",
       "      <td>13715844.0</td>\n",
       "      <td>14231925.0</td>\n",
       "      <td>13132186.0</td>\n",
       "      <td>...</td>\n",
       "      <td>942742.0</td>\n",
       "      <td>1170479.0</td>\n",
       "      <td>285428.0</td>\n",
       "      <td>972701.0</td>\n",
       "      <td>1469631.0</td>\n",
       "      <td>708904.0</td>\n",
       "      <td>466435.0</td>\n",
       "      <td>755540.0</td>\n",
       "      <td>522628.0</td>\n",
       "      <td>513580.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Value 2017</th>\n",
       "      <td>70339967.0</td>\n",
       "      <td>45400673.0</td>\n",
       "      <td>26726633.0</td>\n",
       "      <td>24114281.0</td>\n",
       "      <td>33441172.0</td>\n",
       "      <td>31650136.0</td>\n",
       "      <td>20669159.0</td>\n",
       "      <td>14147002.0</td>\n",
       "      <td>14387447.0</td>\n",
       "      <td>14171418.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1014030.0</td>\n",
       "      <td>1034977.0</td>\n",
       "      <td>293207.0</td>\n",
       "      <td>1311665.0</td>\n",
       "      <td>1714360.0</td>\n",
       "      <td>717117.0</td>\n",
       "      <td>568479.0</td>\n",
       "      <td>806258.0</td>\n",
       "      <td>600075.0</td>\n",
       "      <td>598441.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Value 2018</th>\n",
       "      <td>71872376.0</td>\n",
       "      <td>47178858.0</td>\n",
       "      <td>28222683.0</td>\n",
       "      <td>25140494.0</td>\n",
       "      <td>33882831.0</td>\n",
       "      <td>32501200.0</td>\n",
       "      <td>22694251.0</td>\n",
       "      <td>16047425.0</td>\n",
       "      <td>16382779.0</td>\n",
       "      <td>16088867.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1152272.0</td>\n",
       "      <td>1073617.0</td>\n",
       "      <td>421308.0</td>\n",
       "      <td>1596564.0</td>\n",
       "      <td>1924222.0</td>\n",
       "      <td>777382.0</td>\n",
       "      <td>842384.0</td>\n",
       "      <td>796777.0</td>\n",
       "      <td>676175.0</td>\n",
       "      <td>711488.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Value 2019</th>\n",
       "      <td>64552117.0</td>\n",
       "      <td>42379802.0</td>\n",
       "      <td>26512710.0</td>\n",
       "      <td>24453425.0</td>\n",
       "      <td>24443054.0</td>\n",
       "      <td>18709286.0</td>\n",
       "      <td>16920257.0</td>\n",
       "      <td>14069356.0</td>\n",
       "      <td>13012552.0</td>\n",
       "      <td>12948998.0</td>\n",
       "      <td>...</td>\n",
       "      <td>967714.0</td>\n",
       "      <td>937668.0</td>\n",
       "      <td>925406.0</td>\n",
       "      <td>877651.0</td>\n",
       "      <td>868285.0</td>\n",
       "      <td>816483.0</td>\n",
       "      <td>724828.0</td>\n",
       "      <td>681196.0</td>\n",
       "      <td>651946.0</td>\n",
       "      <td>642395.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 69 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "End-Use Code  (41050) Cell phones and other household goods, n.e.c.  \\\n",
       "Value 2010                                           32612041.0       \n",
       "Value 2011                                           40437973.0       \n",
       "Value 2012                                           52820617.0       \n",
       "Value 2013                                           58708992.0       \n",
       "Value 2014                                           64102970.0       \n",
       "Value 2015                                           64538065.0       \n",
       "Value 2016                                           61465082.0       \n",
       "Value 2017                                           70339967.0       \n",
       "Value 2018                                           71872376.0       \n",
       "Value 2019                                           64552117.0       \n",
       "\n",
       "End-Use Code  (21300) Computers  (41120) Toys, games, and sporting goods  \\\n",
       "Value 2010           39343305.0                               27817414.0   \n",
       "Value 2011           47212554.0                               25306178.0   \n",
       "Value 2012           47638124.0                               25115136.0   \n",
       "Value 2013           47154020.0                               24632369.0   \n",
       "Value 2014           46246719.0                               24432816.0   \n",
       "Value 2015           43804679.0                               26355499.0   \n",
       "Value 2016           40407803.0                               25044156.0   \n",
       "Value 2017           45400673.0                               26726633.0   \n",
       "Value 2018           47178858.0                               28222683.0   \n",
       "Value 2019           42379802.0                               26512710.0   \n",
       "\n",
       "End-Use Code  (40020) Apparel, textiles, nonwool or cotton  \\\n",
       "Value 2010                                      17317807.0   \n",
       "Value 2011                                      19754755.0   \n",
       "Value 2012                                      20619014.0   \n",
       "Value 2013                                      21554715.0   \n",
       "Value 2014                                      23924860.0   \n",
       "Value 2015                                      25645126.0   \n",
       "Value 2016                                      24143354.0   \n",
       "Value 2017                                      24114281.0   \n",
       "Value 2018                                      25140494.0   \n",
       "Value 2019                                      24453425.0   \n",
       "\n",
       "End-Use Code  (21400) Telecommunications equipment  \\\n",
       "Value 2010                              16619084.0   \n",
       "Value 2011                              17336848.0   \n",
       "Value 2012                              19145602.0   \n",
       "Value 2013                              20951280.0   \n",
       "Value 2014                              22537644.0   \n",
       "Value 2015                              27085100.0   \n",
       "Value 2016                              29036921.0   \n",
       "Value 2017                              33441172.0   \n",
       "Value 2018                              33882831.0   \n",
       "Value 2019                              24443054.0   \n",
       "\n",
       "End-Use Code  (21301) Computer accessories  \\\n",
       "Value 2010                      28195127.0   \n",
       "Value 2011                      27663608.0   \n",
       "Value 2012                      28418685.0   \n",
       "Value 2013                      28979113.0   \n",
       "Value 2014                      31191054.0   \n",
       "Value 2015                      30456135.0   \n",
       "Value 2016                      28252467.0   \n",
       "Value 2017                      31650136.0   \n",
       "Value 2018                      32501200.0   \n",
       "Value 2019                      18709286.0   \n",
       "\n",
       "End-Use Code  (41000) Furniture, household goods, etc.  \\\n",
       "Value 2010                                  13561429.0   \n",
       "Value 2011                                  13753109.0   \n",
       "Value 2012                                  14779785.0   \n",
       "Value 2013                                  15179327.0   \n",
       "Value 2014                                  16052809.0   \n",
       "Value 2015                                  17894345.0   \n",
       "Value 2016                                  18644665.0   \n",
       "Value 2017                                  20669159.0   \n",
       "Value 2018                                  22694251.0   \n",
       "Value 2019                                  16920257.0   \n",
       "\n",
       "End-Use Code  (41030) Household appliances  \\\n",
       "Value 2010                       9390599.0   \n",
       "Value 2011                      10210570.0   \n",
       "Value 2012                      11145330.0   \n",
       "Value 2013                      12482507.0   \n",
       "Value 2014                      13244246.0   \n",
       "Value 2015                      14217862.0   \n",
       "Value 2016                      13715844.0   \n",
       "Value 2017                      14147002.0   \n",
       "Value 2018                      16047425.0   \n",
       "Value 2019                      14069356.0   \n",
       "\n",
       "End-Use Code  (30230) Other parts and accessories of vehicles  \\\n",
       "Value 2010                                          7361394.0   \n",
       "Value 2011                                          9029238.0   \n",
       "Value 2012                                         11172211.0   \n",
       "Value 2013                                         11681762.0   \n",
       "Value 2014                                         13464650.0   \n",
       "Value 2015                                         14867660.0   \n",
       "Value 2016                                         14231925.0   \n",
       "Value 2017                                         14387447.0   \n",
       "Value 2018                                         16382779.0   \n",
       "Value 2019                                         13012552.0   \n",
       "\n",
       "End-Use Code  (20005) Electric apparatus  ...  (12070) Tobacco, waxes, etc.  \\\n",
       "Value 2010                    11044289.0  ...                      644778.0   \n",
       "Value 2011                    12946856.0  ...                      760624.0   \n",
       "Value 2012                    11590260.0  ...                      899706.0   \n",
       "Value 2013                    12696414.0  ...                      945442.0   \n",
       "Value 2014                    13333796.0  ...                      964357.0   \n",
       "Value 2015                    13627422.0  ...                      998928.0   \n",
       "Value 2016                    13132186.0  ...                      942742.0   \n",
       "Value 2017                    14171418.0  ...                     1014030.0   \n",
       "Value 2018                    16088867.0  ...                     1152272.0   \n",
       "Value 2019                    12948998.0  ...                      967714.0   \n",
       "\n",
       "End-Use Code  (42110) Gem stones, other  \\\n",
       "Value 2010                    1512192.0   \n",
       "Value 2011                    1577880.0   \n",
       "Value 2012                    1661028.0   \n",
       "Value 2013                    1613486.0   \n",
       "Value 2014                    1486404.0   \n",
       "Value 2015                    1354299.0   \n",
       "Value 2016                    1170479.0   \n",
       "Value 2017                    1034977.0   \n",
       "Value 2018                    1073617.0   \n",
       "Value 2019                     937668.0   \n",
       "\n",
       "End-Use Code  (50040) Other (movies, miscellaneous imports, and special transactions)  \\\n",
       "Value 2010                                             161174.0                         \n",
       "Value 2011                                             203950.0                         \n",
       "Value 2012                                             225795.0                         \n",
       "Value 2013                                             199275.0                         \n",
       "Value 2014                                             204473.0                         \n",
       "Value 2015                                             249775.0                         \n",
       "Value 2016                                             285428.0                         \n",
       "Value 2017                                             293207.0                         \n",
       "Value 2018                                             421308.0                         \n",
       "Value 2019                                             925406.0                         \n",
       "\n",
       "End-Use Code  (12500) Plastic materials  (13020) Stone, sand, cement, etc.  \\\n",
       "Value 2010                     571061.0                           782220.0   \n",
       "Value 2011                     808861.0                           799358.0   \n",
       "Value 2012                     812741.0                           853707.0   \n",
       "Value 2013                     903012.0                           995017.0   \n",
       "Value 2014                    1183041.0                          1088456.0   \n",
       "Value 2015                    1041041.0                          1301605.0   \n",
       "Value 2016                     972701.0                          1469631.0   \n",
       "Value 2017                    1311665.0                          1714360.0   \n",
       "Value 2018                    1596564.0                          1924222.0   \n",
       "Value 2019                     877651.0                           868285.0   \n",
       "\n",
       "End-Use Code  (41140) Musical instruments  (41100) Motorcycles and parts  \\\n",
       "Value 2010                       655151.0                       133870.0   \n",
       "Value 2011                       660364.0                       181086.0   \n",
       "Value 2012                       674404.0                       229314.0   \n",
       "Value 2013                       647305.0                       254189.0   \n",
       "Value 2014                       708923.0                       260398.0   \n",
       "Value 2015                       703271.0                       478429.0   \n",
       "Value 2016                       708904.0                       466435.0   \n",
       "Value 2017                       717117.0                       568479.0   \n",
       "Value 2018                       777382.0                       842384.0   \n",
       "Value 2019                       816483.0                       724828.0   \n",
       "\n",
       "End-Use Code  (21110) Food, tobacco machinery  \\\n",
       "Value 2010                           430348.0   \n",
       "Value 2011                           509068.0   \n",
       "Value 2012                           551661.0   \n",
       "Value 2013                           585582.0   \n",
       "Value 2014                           671607.0   \n",
       "Value 2015                           725335.0   \n",
       "Value 2016                           755540.0   \n",
       "Value 2017                           806258.0   \n",
       "Value 2018                           796777.0   \n",
       "Value 2019                           681196.0   \n",
       "\n",
       "End-Use Code  (22010) Parts-civilian aircraft  (00180) Other foods  \n",
       "Value 2010                           303580.0             339091.0  \n",
       "Value 2011                           413779.0             431406.0  \n",
       "Value 2012                           445631.0             495041.0  \n",
       "Value 2013                           509563.0             534875.0  \n",
       "Value 2014                           535630.0             475411.0  \n",
       "Value 2015                           534547.0             496359.0  \n",
       "Value 2016                           522628.0             513580.0  \n",
       "Value 2017                           600075.0             598441.0  \n",
       "Value 2018                           676175.0             711488.0  \n",
       "Value 2019                           651946.0             642395.0  \n",
       "\n",
       "[10 rows x 69 columns]"
      ]
     },
     "execution_count": 650,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "df_end_use1 = df_end_use_1.set_index('End-Use Code').T.astype(float).drop(['TOTAL'],axis=1)\n",
    "df_end_use1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 699,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>End-Use Code</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>(41050) Cell phones and other household goods, n.e.c.</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.239971</td>\n",
       "      <td>0.306213</td>\n",
       "      <td>0.111479</td>\n",
       "      <td>0.091877</td>\n",
       "      <td>0.006787</td>\n",
       "      <td>-0.047615</td>\n",
       "      <td>0.144389</td>\n",
       "      <td>0.021786</td>\n",
       "      <td>-0.101851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(21300) Computers</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.200015</td>\n",
       "      <td>0.009014</td>\n",
       "      <td>-0.010162</td>\n",
       "      <td>-0.019241</td>\n",
       "      <td>-0.052805</td>\n",
       "      <td>-0.077546</td>\n",
       "      <td>0.123562</td>\n",
       "      <td>0.039166</td>\n",
       "      <td>-0.101720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(41120) Toys, games, and sporting goods</th>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.090276</td>\n",
       "      <td>-0.007549</td>\n",
       "      <td>-0.019222</td>\n",
       "      <td>-0.008101</td>\n",
       "      <td>0.078693</td>\n",
       "      <td>-0.049756</td>\n",
       "      <td>0.067180</td>\n",
       "      <td>0.055976</td>\n",
       "      <td>-0.060589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(40020) Apparel, textiles, nonwool or cotton</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.140719</td>\n",
       "      <td>0.043749</td>\n",
       "      <td>0.045380</td>\n",
       "      <td>0.109959</td>\n",
       "      <td>0.071903</td>\n",
       "      <td>-0.058560</td>\n",
       "      <td>-0.001204</td>\n",
       "      <td>0.042556</td>\n",
       "      <td>-0.027329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(21400) Telecommunications equipment</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.043189</td>\n",
       "      <td>0.104330</td>\n",
       "      <td>0.094313</td>\n",
       "      <td>0.075717</td>\n",
       "      <td>0.201772</td>\n",
       "      <td>0.072063</td>\n",
       "      <td>0.151678</td>\n",
       "      <td>0.013207</td>\n",
       "      <td>-0.278601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(41140) Musical instruments</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.007957</td>\n",
       "      <td>0.021261</td>\n",
       "      <td>-0.040182</td>\n",
       "      <td>0.095192</td>\n",
       "      <td>-0.007973</td>\n",
       "      <td>0.008010</td>\n",
       "      <td>0.011585</td>\n",
       "      <td>0.084038</td>\n",
       "      <td>0.050298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(41100) Motorcycles and parts</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.352700</td>\n",
       "      <td>0.266326</td>\n",
       "      <td>0.108476</td>\n",
       "      <td>0.024427</td>\n",
       "      <td>0.837299</td>\n",
       "      <td>-0.025070</td>\n",
       "      <td>0.218774</td>\n",
       "      <td>0.481821</td>\n",
       "      <td>-0.139552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(21110) Food, tobacco machinery</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.182922</td>\n",
       "      <td>0.083669</td>\n",
       "      <td>0.061489</td>\n",
       "      <td>0.146905</td>\n",
       "      <td>0.079999</td>\n",
       "      <td>0.041643</td>\n",
       "      <td>0.067128</td>\n",
       "      <td>-0.011759</td>\n",
       "      <td>-0.145061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(22010) Parts-civilian aircraft</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.362998</td>\n",
       "      <td>0.076978</td>\n",
       "      <td>0.143464</td>\n",
       "      <td>0.051156</td>\n",
       "      <td>-0.002022</td>\n",
       "      <td>-0.022297</td>\n",
       "      <td>0.148188</td>\n",
       "      <td>0.126817</td>\n",
       "      <td>-0.035832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(00180) Other foods</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.272243</td>\n",
       "      <td>0.147506</td>\n",
       "      <td>0.080466</td>\n",
       "      <td>-0.111174</td>\n",
       "      <td>0.044063</td>\n",
       "      <td>0.034695</td>\n",
       "      <td>0.165234</td>\n",
       "      <td>0.188902</td>\n",
       "      <td>-0.097111</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>69 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    2010      2011      2012  \\\n",
       "End-Use Code                                                                   \n",
       "(41050) Cell phones and other household goods, ...   NaN  0.239971  0.306213   \n",
       "(21300) Computers                                    NaN  0.200015  0.009014   \n",
       "(41120) Toys, games, and sporting goods              NaN -0.090276 -0.007549   \n",
       "(40020) Apparel, textiles, nonwool or cotton         NaN  0.140719  0.043749   \n",
       "(21400) Telecommunications equipment                 NaN  0.043189  0.104330   \n",
       "...                                                  ...       ...       ...   \n",
       "(41140) Musical instruments                          NaN  0.007957  0.021261   \n",
       "(41100) Motorcycles and parts                        NaN  0.352700  0.266326   \n",
       "(21110) Food, tobacco machinery                      NaN  0.182922  0.083669   \n",
       "(22010) Parts-civilian aircraft                      NaN  0.362998  0.076978   \n",
       "(00180) Other foods                                  NaN  0.272243  0.147506   \n",
       "\n",
       "                                                        2013      2014  \\\n",
       "End-Use Code                                                             \n",
       "(41050) Cell phones and other household goods, ...  0.111479  0.091877   \n",
       "(21300) Computers                                  -0.010162 -0.019241   \n",
       "(41120) Toys, games, and sporting goods            -0.019222 -0.008101   \n",
       "(40020) Apparel, textiles, nonwool or cotton        0.045380  0.109959   \n",
       "(21400) Telecommunications equipment                0.094313  0.075717   \n",
       "...                                                      ...       ...   \n",
       "(41140) Musical instruments                        -0.040182  0.095192   \n",
       "(41100) Motorcycles and parts                       0.108476  0.024427   \n",
       "(21110) Food, tobacco machinery                     0.061489  0.146905   \n",
       "(22010) Parts-civilian aircraft                     0.143464  0.051156   \n",
       "(00180) Other foods                                 0.080466 -0.111174   \n",
       "\n",
       "                                                        2015      2016  \\\n",
       "End-Use Code                                                             \n",
       "(41050) Cell phones and other household goods, ...  0.006787 -0.047615   \n",
       "(21300) Computers                                  -0.052805 -0.077546   \n",
       "(41120) Toys, games, and sporting goods             0.078693 -0.049756   \n",
       "(40020) Apparel, textiles, nonwool or cotton        0.071903 -0.058560   \n",
       "(21400) Telecommunications equipment                0.201772  0.072063   \n",
       "...                                                      ...       ...   \n",
       "(41140) Musical instruments                        -0.007973  0.008010   \n",
       "(41100) Motorcycles and parts                       0.837299 -0.025070   \n",
       "(21110) Food, tobacco machinery                     0.079999  0.041643   \n",
       "(22010) Parts-civilian aircraft                    -0.002022 -0.022297   \n",
       "(00180) Other foods                                 0.044063  0.034695   \n",
       "\n",
       "                                                        2017      2018  \\\n",
       "End-Use Code                                                             \n",
       "(41050) Cell phones and other household goods, ...  0.144389  0.021786   \n",
       "(21300) Computers                                   0.123562  0.039166   \n",
       "(41120) Toys, games, and sporting goods             0.067180  0.055976   \n",
       "(40020) Apparel, textiles, nonwool or cotton       -0.001204  0.042556   \n",
       "(21400) Telecommunications equipment                0.151678  0.013207   \n",
       "...                                                      ...       ...   \n",
       "(41140) Musical instruments                         0.011585  0.084038   \n",
       "(41100) Motorcycles and parts                       0.218774  0.481821   \n",
       "(21110) Food, tobacco machinery                     0.067128 -0.011759   \n",
       "(22010) Parts-civilian aircraft                     0.148188  0.126817   \n",
       "(00180) Other foods                                 0.165234  0.188902   \n",
       "\n",
       "                                                        2019  \n",
       "End-Use Code                                                  \n",
       "(41050) Cell phones and other household goods, ... -0.101851  \n",
       "(21300) Computers                                  -0.101720  \n",
       "(41120) Toys, games, and sporting goods            -0.060589  \n",
       "(40020) Apparel, textiles, nonwool or cotton       -0.027329  \n",
       "(21400) Telecommunications equipment               -0.278601  \n",
       "...                                                      ...  \n",
       "(41140) Musical instruments                         0.050298  \n",
       "(41100) Motorcycles and parts                      -0.139552  \n",
       "(21110) Food, tobacco machinery                    -0.145061  \n",
       "(22010) Parts-civilian aircraft                    -0.035832  \n",
       "(00180) Other foods                                -0.097111  \n",
       "\n",
       "[69 rows x 10 columns]"
      ]
     },
     "execution_count": 699,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#let's apply the shift funciton, see which chinese industry got hurt the most. We can clearly see the last row is negative\n",
    "df_end_use2=((df_end_use1 - df_end_use1.shift()) / df_end_use1.shift())\n",
    "df_end_use_trans= df_end_use2.T\n",
    "df_end_use_trans.columns = ['2010', '2011', '2012','2013','2014','2015','2016','2017','2018','2019']\n",
    "df_china_end_use = df_end_use_trans.T \n",
    "#growth rate\n",
    "df_end_use_trans"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 719,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'(30000) Passenger cars, new and used'"
      ]
     },
     "execution_count": 719,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#There's one outlier that ruins the whole graph \n",
    "df_end_use_trans['2016'].idxmax()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 683,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['(13020) Stone, sand, cement, etc.',\n",
       " '(30220) Automotive tires and tubes',\n",
       " '(21320) Semiconductors',\n",
       " '(12500) Plastic materials',\n",
       " '(21301) Computer accessories',\n",
       " '(12135) Synthetic cloth',\n",
       " '(01000) Fish and shellfish',\n",
       " '(21160) Measuring, testing, control instruments',\n",
       " '(12550) Chemicals-other, n.e.c.',\n",
       " '(15000) Iron and steel products, n.e.c.']"
      ]
     },
     "execution_count": 683,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Let's see what happens to the Chinese Product exports \n",
    "most_china_list = df_end_use_trans.nsmallest(10,'2019').index.tolist()\n",
    "most_china_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 720,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['(41050) Cell phones and other household goods, n.e.c.',\n",
       " '(21300) Computers',\n",
       " '(41120) Toys, games, and sporting goods',\n",
       " '(40020) Apparel, textiles, nonwool or cotton',\n",
       " '(21400) Telecommunications equipment',\n",
       " '(41000) Furniture, household goods, etc.',\n",
       " '(41030) Household appliances',\n",
       " '(30230) Other parts and accessories of vehicles',\n",
       " '(20005) Electric apparatus',\n",
       " '(40040) Footwear',\n",
       " '(40000) Apparel, household goods - cotton',\n",
       " '(21180) Industrial machines, other',\n",
       " '(21190) Photo, service industry machinery',\n",
       " '(41200) Televisions and video equipment',\n",
       " '(41020) Cookware, cutlery, tools',\n",
       " '(16120) Industrial supplies, other',\n",
       " '(20000) Generators, accessories',\n",
       " '(40140) Other consumer nondurables',\n",
       " '(12540) Chemicals-organic',\n",
       " '(21610) Medicinal equipment',\n",
       " '(40050) Camping apparel and gear',\n",
       " '(21100) Industrial engines',\n",
       " '(15200) Finished metal shapes',\n",
       " '(40030) Apparel,household goods-nontextile',\n",
       " '(41210) Stereo equipment, etc',\n",
       " '(50030) Minimum value shipments',\n",
       " '(13120) Nontextile floor tiles',\n",
       " '(15100) Iron and steel, advanced',\n",
       " '(50020) U.S. goods returned, and reimports',\n",
       " '(21170) Materials handling equipment',\n",
       " '(40100) Pharmaceutical preparations',\n",
       " '(13110) Shingles, wallboard',\n",
       " '(41320) Artwork, antiques, stamps, etc.',\n",
       " '(41130) Photo equipment',\n",
       " '(40110) Books, printed matter',\n",
       " '(41310) Jewelry',\n",
       " '(30200) Engines and engine parts (carburetors, pistons, rings, and valves)',\n",
       " '(21030) Excavating machinery',\n",
       " '(40120) Toiletries and cosmetics',\n",
       " '(41010) Glassware, chinaware',\n",
       " '(21500) Business machines and equipment',\n",
       " '(21200) Agricultural machinery, equipment',\n",
       " '(21140) Wood, glass, plastic',\n",
       " '(12530) Chemicals-inorganic',\n",
       " '(12510) Chemicals-fertilizers',\n",
       " '(12150) Finished textile supplies',\n",
       " '(21120) Metalworking machine tools',\n",
       " '(40010) Apparel, household goods - wool',\n",
       " '(12550) Chemicals-other, n.e.c.',\n",
       " '(21600) Laboratory testing instruments',\n",
       " '(13100) Glass-plate, sheet, etc.',\n",
       " '(12070) Tobacco, waxes, etc.',\n",
       " '(42110) Gem stones, other',\n",
       " '(50040) Other (movies, miscellaneous imports, and special transactions)',\n",
       " '(13020) Stone, sand, cement, etc.',\n",
       " '(41140) Musical instruments',\n",
       " '(41100) Motorcycles and parts',\n",
       " '(21110) Food, tobacco machinery',\n",
       " '(22010) Parts-civilian aircraft',\n",
       " '(00180) Other foods']"
      ]
     },
     "execution_count": 720,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "\n",
    "not_bad = list(df_end_use1.columns)\n",
    "\n",
    "for i in not_bad:\n",
    "    if i in most_china_list:\n",
    "        not_bad.remove(i)\n",
    "not_bad.remove(df_end_use_trans['2016'].idxmax())\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 741,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>End-Use Code</th>\n",
       "      <th>Value 2010</th>\n",
       "      <th>Value 2011</th>\n",
       "      <th>Value 2012</th>\n",
       "      <th>Value 2013</th>\n",
       "      <th>Value 2014</th>\n",
       "      <th>Value 2015</th>\n",
       "      <th>Value 2016</th>\n",
       "      <th>Value 2017</th>\n",
       "      <th>Value 2018</th>\n",
       "      <th>Value 2019</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>TOTAL</td>\n",
       "      <td>91911081</td>\n",
       "      <td>104121524</td>\n",
       "      <td>110516616</td>\n",
       "      <td>121746189</td>\n",
       "      <td>123657203</td>\n",
       "      <td>115873365</td>\n",
       "      <td>115594784</td>\n",
       "      <td>129797587</td>\n",
       "      <td>120148141</td>\n",
       "      <td>106626775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>(22090) Civilian aircraft, engines, equipment,...</td>\n",
       "      <td>5754879</td>\n",
       "      <td>6388494</td>\n",
       "      <td>8357556</td>\n",
       "      <td>12586701</td>\n",
       "      <td>13927126</td>\n",
       "      <td>15439704</td>\n",
       "      <td>14577081</td>\n",
       "      <td>16264439</td>\n",
       "      <td>18220787</td>\n",
       "      <td>10458939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>(21320) Semiconductors</td>\n",
       "      <td>6410995</td>\n",
       "      <td>4607132</td>\n",
       "      <td>3892964</td>\n",
       "      <td>4737314</td>\n",
       "      <td>5510760</td>\n",
       "      <td>5976385</td>\n",
       "      <td>5955948</td>\n",
       "      <td>6076755</td>\n",
       "      <td>7117197</td>\n",
       "      <td>9113628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>(00100) Soybeans</td>\n",
       "      <td>10864318</td>\n",
       "      <td>10508369</td>\n",
       "      <td>14879547</td>\n",
       "      <td>13304176</td>\n",
       "      <td>14485397</td>\n",
       "      <td>10494079</td>\n",
       "      <td>14212335</td>\n",
       "      <td>12230585</td>\n",
       "      <td>3129041</td>\n",
       "      <td>7991950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>(30000) Passenger cars, new and used</td>\n",
       "      <td>3441170</td>\n",
       "      <td>5305700</td>\n",
       "      <td>5698113</td>\n",
       "      <td>8522223</td>\n",
       "      <td>11178484</td>\n",
       "      <td>9055568</td>\n",
       "      <td>8842569</td>\n",
       "      <td>10208474</td>\n",
       "      <td>6638100</td>\n",
       "      <td>7231631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>(41030) Household appliances</td>\n",
       "      <td>172171</td>\n",
       "      <td>163815</td>\n",
       "      <td>161100</td>\n",
       "      <td>173186</td>\n",
       "      <td>156649</td>\n",
       "      <td>160376</td>\n",
       "      <td>162870</td>\n",
       "      <td>182692</td>\n",
       "      <td>205756</td>\n",
       "      <td>194372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>(12750) Industrial rubber products</td>\n",
       "      <td>163349</td>\n",
       "      <td>181810</td>\n",
       "      <td>172857</td>\n",
       "      <td>204646</td>\n",
       "      <td>213004</td>\n",
       "      <td>195600</td>\n",
       "      <td>186298</td>\n",
       "      <td>210638</td>\n",
       "      <td>212998</td>\n",
       "      <td>191699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>(00210) Sorghum, barley, oats</td>\n",
       "      <td>3877</td>\n",
       "      <td>241</td>\n",
       "      <td>284</td>\n",
       "      <td>96643</td>\n",
       "      <td>1467583</td>\n",
       "      <td>2116876</td>\n",
       "      <td>1030781</td>\n",
       "      <td>838817</td>\n",
       "      <td>521577</td>\n",
       "      <td>191684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>(12100) Iron and steel mill products</td>\n",
       "      <td>175218</td>\n",
       "      <td>206232</td>\n",
       "      <td>204275</td>\n",
       "      <td>186074</td>\n",
       "      <td>216657</td>\n",
       "      <td>201045</td>\n",
       "      <td>161389</td>\n",
       "      <td>217445</td>\n",
       "      <td>220335</td>\n",
       "      <td>184759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>(21030) Excavating machinery</td>\n",
       "      <td>273877</td>\n",
       "      <td>372710</td>\n",
       "      <td>339271</td>\n",
       "      <td>304497</td>\n",
       "      <td>248859</td>\n",
       "      <td>183482</td>\n",
       "      <td>163866</td>\n",
       "      <td>191132</td>\n",
       "      <td>184523</td>\n",
       "      <td>182237</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>70 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          End-Use Code  Value 2010  \\\n",
       "133                                              TOTAL    91911081   \n",
       "88   (22090) Civilian aircraft, engines, equipment,...     5754879   \n",
       "83                              (21320) Semiconductors     6410995   \n",
       "2                                     (00100) Soybeans    10864318   \n",
       "94                (30000) Passenger cars, new and used     3441170   \n",
       "..                                                 ...         ...   \n",
       "111                       (41030) Household appliances      172171   \n",
       "55                  (12750) Industrial rubber products      163349   \n",
       "5                        (00210) Sorghum, barley, oats        3877   \n",
       "33                (12100) Iron and steel mill products      175218   \n",
       "68                        (21030) Excavating machinery      273877   \n",
       "\n",
       "     Value 2011  Value 2012  Value 2013  Value 2014  Value 2015  Value 2016  \\\n",
       "133   104121524   110516616   121746189   123657203   115873365   115594784   \n",
       "88      6388494     8357556    12586701    13927126    15439704    14577081   \n",
       "83      4607132     3892964     4737314     5510760     5976385     5955948   \n",
       "2      10508369    14879547    13304176    14485397    10494079    14212335   \n",
       "94      5305700     5698113     8522223    11178484     9055568     8842569   \n",
       "..          ...         ...         ...         ...         ...         ...   \n",
       "111      163815      161100      173186      156649      160376      162870   \n",
       "55       181810      172857      204646      213004      195600      186298   \n",
       "5           241         284       96643     1467583     2116876     1030781   \n",
       "33       206232      204275      186074      216657      201045      161389   \n",
       "68       372710      339271      304497      248859      183482      163866   \n",
       "\n",
       "     Value 2017  Value 2018  Value 2019  \n",
       "133   129797587   120148141   106626775  \n",
       "88     16264439    18220787    10458939  \n",
       "83      6076755     7117197     9113628  \n",
       "2      12230585     3129041     7991950  \n",
       "94     10208474     6638100     7231631  \n",
       "..          ...         ...         ...  \n",
       "111      182692      205756      194372  \n",
       "55       210638      212998      191699  \n",
       "5        838817      521577      191684  \n",
       "33       217445      220335      184759  \n",
       "68       191132      184523      182237  \n",
       "\n",
       "[70 rows x 11 columns]"
      ]
     },
     "execution_count": 741,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# now read and clean the U.S. exports file \n",
    "\n",
    "url = 'https://www.census.gov/foreign-trade/statistics/product/enduse/exports/c5700.html'\n",
    "html = requests.get(url).content\n",
    "df_list_us = pd.read_html(html)\n",
    "df_end_use_us= df_list_us[-1]\n",
    "\n",
    "df_end_use_us.to_csv('my data us.csv')\n",
    "df_end_use_us = df_end_use_us[(df_end_use_us != 0).all(1)]\n",
    "df_end_use_1_us =  df_end_use_us.nlargest(70,'Value 2019')\n",
    "df_end_use_1_us"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 775,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'(00210) Sorghum, barley, oats'"
      ]
     },
     "execution_count": 775,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_end_use1_us = df_end_use_1_us.set_index('End-Use Code').T.astype(float).drop(['TOTAL'],axis=1)\n",
    "#let's apply the shift funciton, see which chinese industry got hurt the most. We can clearly see the last row is negative\n",
    "df_end_use2_us=((df_end_use1_us - df_end_use1_us.shift()) / df_end_use1_us.shift())\n",
    "df_end_use_trans_us= df_end_use2_us.T\n",
    "df_end_use_trans_us.columns = ['2010', '2011', '2012','2013','2014','2015','2016','2017','2018','2019']\n",
    "df_china_end_use_us = df_end_use_trans_us.T \n",
    "#growth rate\n",
    "df_end_use_trans_us['2013'].idxmax()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We seclect the top 10 HS2 commodities that were most affected by the tariff escalation "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 745,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
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       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>End-Use Code</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>(13020) Stone, sand, cement, etc.</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.021909</td>\n",
       "      <td>0.067991</td>\n",
       "      <td>0.165525</td>\n",
       "      <td>0.093907</td>\n",
       "      <td>0.195827</td>\n",
       "      <td>0.129091</td>\n",
       "      <td>0.166524</td>\n",
       "      <td>0.122414</td>\n",
       "      <td>-0.548760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(30220) Automotive tires and tubes</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.185733</td>\n",
       "      <td>0.284274</td>\n",
       "      <td>0.272377</td>\n",
       "      <td>0.168855</td>\n",
       "      <td>-0.288444</td>\n",
       "      <td>-0.257422</td>\n",
       "      <td>-0.059118</td>\n",
       "      <td>0.237382</td>\n",
       "      <td>-0.500792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(21320) Semiconductors</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.555661</td>\n",
       "      <td>-0.013246</td>\n",
       "      <td>-0.023967</td>\n",
       "      <td>0.206043</td>\n",
       "      <td>0.144985</td>\n",
       "      <td>0.055277</td>\n",
       "      <td>0.127307</td>\n",
       "      <td>-0.078197</td>\n",
       "      <td>-0.454291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(12500) Plastic materials</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.416418</td>\n",
       "      <td>0.004797</td>\n",
       "      <td>0.111070</td>\n",
       "      <td>0.310106</td>\n",
       "      <td>-0.120030</td>\n",
       "      <td>-0.065646</td>\n",
       "      <td>0.348477</td>\n",
       "      <td>0.217204</td>\n",
       "      <td>-0.450288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(21301) Computer accessories</th>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.018851</td>\n",
       "      <td>0.027295</td>\n",
       "      <td>0.019720</td>\n",
       "      <td>0.076329</td>\n",
       "      <td>-0.023562</td>\n",
       "      <td>-0.072355</td>\n",
       "      <td>0.120261</td>\n",
       "      <td>0.026890</td>\n",
       "      <td>-0.424351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(12135) Synthetic cloth</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.281204</td>\n",
       "      <td>0.093669</td>\n",
       "      <td>0.069574</td>\n",
       "      <td>0.056051</td>\n",
       "      <td>0.062712</td>\n",
       "      <td>-0.058729</td>\n",
       "      <td>0.027167</td>\n",
       "      <td>0.082951</td>\n",
       "      <td>-0.364455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(01000) Fish and shellfish</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.110230</td>\n",
       "      <td>0.002442</td>\n",
       "      <td>0.011203</td>\n",
       "      <td>0.070062</td>\n",
       "      <td>-0.097249</td>\n",
       "      <td>-0.033415</td>\n",
       "      <td>0.076939</td>\n",
       "      <td>0.078985</td>\n",
       "      <td>-0.342140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(21160) Measuring, testing, control instruments</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.139496</td>\n",
       "      <td>0.139968</td>\n",
       "      <td>0.087184</td>\n",
       "      <td>0.061042</td>\n",
       "      <td>0.067711</td>\n",
       "      <td>0.031598</td>\n",
       "      <td>0.096015</td>\n",
       "      <td>0.016002</td>\n",
       "      <td>-0.295595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(12550) Chemicals-other, n.e.c.</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.551198</td>\n",
       "      <td>0.059874</td>\n",
       "      <td>-0.030072</td>\n",
       "      <td>0.038569</td>\n",
       "      <td>-0.051580</td>\n",
       "      <td>-0.052498</td>\n",
       "      <td>0.048094</td>\n",
       "      <td>0.366366</td>\n",
       "      <td>-0.294860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(15000) Iron and steel products, n.e.c.</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.358181</td>\n",
       "      <td>0.116406</td>\n",
       "      <td>-0.090753</td>\n",
       "      <td>0.158544</td>\n",
       "      <td>-0.032102</td>\n",
       "      <td>-0.069929</td>\n",
       "      <td>0.092477</td>\n",
       "      <td>0.153588</td>\n",
       "      <td>-0.286197</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 2010      2011      2012  \\\n",
       "End-Use Code                                                                \n",
       "(13020) Stone, sand, cement, etc.                 NaN  0.021909  0.067991   \n",
       "(30220) Automotive tires and tubes                NaN  0.185733  0.284274   \n",
       "(21320) Semiconductors                            NaN  0.555661 -0.013246   \n",
       "(12500) Plastic materials                         NaN  0.416418  0.004797   \n",
       "(21301) Computer accessories                      NaN -0.018851  0.027295   \n",
       "(12135) Synthetic cloth                           NaN  0.281204  0.093669   \n",
       "(01000) Fish and shellfish                        NaN  0.110230  0.002442   \n",
       "(21160) Measuring, testing, control instruments   NaN  0.139496  0.139968   \n",
       "(12550) Chemicals-other, n.e.c.                   NaN  0.551198  0.059874   \n",
       "(15000) Iron and steel products, n.e.c.           NaN  0.358181  0.116406   \n",
       "\n",
       "                                                     2013      2014      2015  \\\n",
       "End-Use Code                                                                    \n",
       "(13020) Stone, sand, cement, etc.                0.165525  0.093907  0.195827   \n",
       "(30220) Automotive tires and tubes               0.272377  0.168855 -0.288444   \n",
       "(21320) Semiconductors                          -0.023967  0.206043  0.144985   \n",
       "(12500) Plastic materials                        0.111070  0.310106 -0.120030   \n",
       "(21301) Computer accessories                     0.019720  0.076329 -0.023562   \n",
       "(12135) Synthetic cloth                          0.069574  0.056051  0.062712   \n",
       "(01000) Fish and shellfish                       0.011203  0.070062 -0.097249   \n",
       "(21160) Measuring, testing, control instruments  0.087184  0.061042  0.067711   \n",
       "(12550) Chemicals-other, n.e.c.                 -0.030072  0.038569 -0.051580   \n",
       "(15000) Iron and steel products, n.e.c.         -0.090753  0.158544 -0.032102   \n",
       "\n",
       "                                                     2016      2017      2018  \\\n",
       "End-Use Code                                                                    \n",
       "(13020) Stone, sand, cement, etc.                0.129091  0.166524  0.122414   \n",
       "(30220) Automotive tires and tubes              -0.257422 -0.059118  0.237382   \n",
       "(21320) Semiconductors                           0.055277  0.127307 -0.078197   \n",
       "(12500) Plastic materials                       -0.065646  0.348477  0.217204   \n",
       "(21301) Computer accessories                    -0.072355  0.120261  0.026890   \n",
       "(12135) Synthetic cloth                         -0.058729  0.027167  0.082951   \n",
       "(01000) Fish and shellfish                      -0.033415  0.076939  0.078985   \n",
       "(21160) Measuring, testing, control instruments  0.031598  0.096015  0.016002   \n",
       "(12550) Chemicals-other, n.e.c.                 -0.052498  0.048094  0.366366   \n",
       "(15000) Iron and steel products, n.e.c.         -0.069929  0.092477  0.153588   \n",
       "\n",
       "                                                     2019  \n",
       "End-Use Code                                               \n",
       "(13020) Stone, sand, cement, etc.               -0.548760  \n",
       "(30220) Automotive tires and tubes              -0.500792  \n",
       "(21320) Semiconductors                          -0.454291  \n",
       "(12500) Plastic materials                       -0.450288  \n",
       "(21301) Computer accessories                    -0.424351  \n",
       "(12135) Synthetic cloth                         -0.364455  \n",
       "(01000) Fish and shellfish                      -0.342140  \n",
       "(21160) Measuring, testing, control instruments -0.295595  \n",
       "(12550) Chemicals-other, n.e.c.                 -0.294860  \n",
       "(15000) Iron and steel products, n.e.c.         -0.286197  "
      ]
     },
     "execution_count": 745,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#China exports to U.S.\n",
    "df_end_use_trans.nsmallest(10,'2019')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 744,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>End-Use Code</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>(12210) Copper</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.284117</td>\n",
       "      <td>0.017078</td>\n",
       "      <td>-0.117972</td>\n",
       "      <td>-0.136723</td>\n",
       "      <td>-0.419547</td>\n",
       "      <td>-0.033447</td>\n",
       "      <td>0.199860</td>\n",
       "      <td>-0.213935</td>\n",
       "      <td>-0.748894</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(00210) Sorghum, barley, oats</th>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.937839</td>\n",
       "      <td>0.178423</td>\n",
       "      <td>339.292254</td>\n",
       "      <td>14.185611</td>\n",
       "      <td>0.442423</td>\n",
       "      <td>-0.513065</td>\n",
       "      <td>-0.186232</td>\n",
       "      <td>-0.378199</td>\n",
       "      <td>-0.632491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(13100) Logs and lumber</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.662561</td>\n",
       "      <td>-0.151574</td>\n",
       "      <td>0.412149</td>\n",
       "      <td>0.160002</td>\n",
       "      <td>-0.229387</td>\n",
       "      <td>0.247170</td>\n",
       "      <td>0.269094</td>\n",
       "      <td>-0.107772</td>\n",
       "      <td>-0.450961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(11120) Petroleum products, other</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.574671</td>\n",
       "      <td>0.074208</td>\n",
       "      <td>0.376012</td>\n",
       "      <td>-0.270624</td>\n",
       "      <td>-0.105296</td>\n",
       "      <td>-0.036773</td>\n",
       "      <td>0.243342</td>\n",
       "      <td>-0.179879</td>\n",
       "      <td>-0.435605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(22090) Civilian aircraft, engines, equipment, and parts</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.110100</td>\n",
       "      <td>0.308220</td>\n",
       "      <td>0.506027</td>\n",
       "      <td>0.106495</td>\n",
       "      <td>0.108607</td>\n",
       "      <td>-0.055870</td>\n",
       "      <td>0.115754</td>\n",
       "      <td>0.120284</td>\n",
       "      <td>-0.425989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(12700) Synthetic rubber-primary</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.085737</td>\n",
       "      <td>0.080699</td>\n",
       "      <td>-0.140991</td>\n",
       "      <td>-0.100860</td>\n",
       "      <td>-0.293144</td>\n",
       "      <td>-0.103461</td>\n",
       "      <td>0.087465</td>\n",
       "      <td>-0.001362</td>\n",
       "      <td>-0.402623</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(00310) Dairy products and eggs</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.524074</td>\n",
       "      <td>0.027630</td>\n",
       "      <td>1.013803</td>\n",
       "      <td>-0.032044</td>\n",
       "      <td>-0.427603</td>\n",
       "      <td>-0.112393</td>\n",
       "      <td>0.503283</td>\n",
       "      <td>-0.223736</td>\n",
       "      <td>-0.387536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(12200) Aluminum and alumina</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.336770</td>\n",
       "      <td>-0.101715</td>\n",
       "      <td>-0.049950</td>\n",
       "      <td>-0.204781</td>\n",
       "      <td>-0.232125</td>\n",
       "      <td>-0.263336</td>\n",
       "      <td>0.206854</td>\n",
       "      <td>-0.355763</td>\n",
       "      <td>-0.373764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(30230) Other parts and accessories of vehicles</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.153988</td>\n",
       "      <td>0.042625</td>\n",
       "      <td>0.761972</td>\n",
       "      <td>0.270673</td>\n",
       "      <td>-0.110203</td>\n",
       "      <td>0.248302</td>\n",
       "      <td>0.166169</td>\n",
       "      <td>0.052884</td>\n",
       "      <td>-0.322354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(10120) Hides and skins</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.232361</td>\n",
       "      <td>0.127227</td>\n",
       "      <td>0.226956</td>\n",
       "      <td>-0.095561</td>\n",
       "      <td>-0.152762</td>\n",
       "      <td>-0.233429</td>\n",
       "      <td>-0.017189</td>\n",
       "      <td>-0.364362</td>\n",
       "      <td>-0.321571</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    2010      2011      2012  \\\n",
       "End-Use Code                                                                   \n",
       "(12210) Copper                                       NaN  0.284117  0.017078   \n",
       "(00210) Sorghum, barley, oats                        NaN -0.937839  0.178423   \n",
       "(13100) Logs and lumber                              NaN  0.662561 -0.151574   \n",
       "(11120) Petroleum products, other                    NaN  0.574671  0.074208   \n",
       "(22090) Civilian aircraft, engines, equipment, ...   NaN  0.110100  0.308220   \n",
       "(12700) Synthetic rubber-primary                     NaN  0.085737  0.080699   \n",
       "(00310) Dairy products and eggs                      NaN  0.524074  0.027630   \n",
       "(12200) Aluminum and alumina                         NaN  0.336770 -0.101715   \n",
       "(30230) Other parts and accessories of vehicles      NaN  0.153988  0.042625   \n",
       "(10120) Hides and skins                              NaN  0.232361  0.127227   \n",
       "\n",
       "                                                          2013       2014  \\\n",
       "End-Use Code                                                                \n",
       "(12210) Copper                                       -0.117972  -0.136723   \n",
       "(00210) Sorghum, barley, oats                       339.292254  14.185611   \n",
       "(13100) Logs and lumber                               0.412149   0.160002   \n",
       "(11120) Petroleum products, other                     0.376012  -0.270624   \n",
       "(22090) Civilian aircraft, engines, equipment, ...    0.506027   0.106495   \n",
       "(12700) Synthetic rubber-primary                     -0.140991  -0.100860   \n",
       "(00310) Dairy products and eggs                       1.013803  -0.032044   \n",
       "(12200) Aluminum and alumina                         -0.049950  -0.204781   \n",
       "(30230) Other parts and accessories of vehicles       0.761972   0.270673   \n",
       "(10120) Hides and skins                               0.226956  -0.095561   \n",
       "\n",
       "                                                        2015      2016  \\\n",
       "End-Use Code                                                             \n",
       "(12210) Copper                                     -0.419547 -0.033447   \n",
       "(00210) Sorghum, barley, oats                       0.442423 -0.513065   \n",
       "(13100) Logs and lumber                            -0.229387  0.247170   \n",
       "(11120) Petroleum products, other                  -0.105296 -0.036773   \n",
       "(22090) Civilian aircraft, engines, equipment, ...  0.108607 -0.055870   \n",
       "(12700) Synthetic rubber-primary                   -0.293144 -0.103461   \n",
       "(00310) Dairy products and eggs                    -0.427603 -0.112393   \n",
       "(12200) Aluminum and alumina                       -0.232125 -0.263336   \n",
       "(30230) Other parts and accessories of vehicles    -0.110203  0.248302   \n",
       "(10120) Hides and skins                            -0.152762 -0.233429   \n",
       "\n",
       "                                                        2017      2018  \\\n",
       "End-Use Code                                                             \n",
       "(12210) Copper                                      0.199860 -0.213935   \n",
       "(00210) Sorghum, barley, oats                      -0.186232 -0.378199   \n",
       "(13100) Logs and lumber                             0.269094 -0.107772   \n",
       "(11120) Petroleum products, other                   0.243342 -0.179879   \n",
       "(22090) Civilian aircraft, engines, equipment, ...  0.115754  0.120284   \n",
       "(12700) Synthetic rubber-primary                    0.087465 -0.001362   \n",
       "(00310) Dairy products and eggs                     0.503283 -0.223736   \n",
       "(12200) Aluminum and alumina                        0.206854 -0.355763   \n",
       "(30230) Other parts and accessories of vehicles     0.166169  0.052884   \n",
       "(10120) Hides and skins                            -0.017189 -0.364362   \n",
       "\n",
       "                                                        2019  \n",
       "End-Use Code                                                  \n",
       "(12210) Copper                                     -0.748894  \n",
       "(00210) Sorghum, barley, oats                      -0.632491  \n",
       "(13100) Logs and lumber                            -0.450961  \n",
       "(11120) Petroleum products, other                  -0.435605  \n",
       "(22090) Civilian aircraft, engines, equipment, ... -0.425989  \n",
       "(12700) Synthetic rubber-primary                   -0.402623  \n",
       "(00310) Dairy products and eggs                    -0.387536  \n",
       "(12200) Aluminum and alumina                       -0.373764  \n",
       "(30230) Other parts and accessories of vehicles    -0.322354  \n",
       "(10120) Hides and skins                            -0.321571  "
      ]
     },
     "execution_count": 744,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#U.S. exports to China \n",
    "df_end_use_trans_us.nsmallest(10,'2019')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 762,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['(12210) Copper',\n",
       " '(00210) Sorghum, barley, oats',\n",
       " '(13100) Logs and lumber',\n",
       " '(11120) Petroleum products, other',\n",
       " '(22090) Civilian aircraft, engines, equipment, and parts',\n",
       " '(12700) Synthetic rubber-primary',\n",
       " '(00310) Dairy products and eggs',\n",
       " '(12200) Aluminum and alumina',\n",
       " '(30230) Other parts and accessories of vehicles',\n",
       " '(10120) Hides and skins']"
      ]
     },
     "execution_count": 762,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "most_us_list = df_end_use_trans_us.nsmallest(10,'2019').index.tolist()\n",
    "most_us_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 777,
   "metadata": {},
   "outputs": [],
   "source": [
    "not_bad_us = list(df_end_use1_us.columns)\n",
    "\n",
    "for i in not_bad_us:\n",
    "    if i in most_us_list:\n",
    "        not_bad_us.remove(i)\n",
    "most_us_list.remove(df_end_use_trans_us['2013'].idxmax())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 790,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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