diff --git a/content/ch/06/pandas_aggregating.ipynb b/content/ch/06/pandas_aggregating.ipynb
index 705390ebb..31fbcde4b 100644
--- a/content/ch/06/pandas_aggregating.ipynb
+++ b/content/ch/06/pandas_aggregating.ipynb
@@ -1524,9 +1524,12 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "tags": [],
+    "user_expressions": []
+   },
    "source": [
-    "### Example: Using `.value_counts()`"
+    "### Example: Using .value_counts()"
    ]
   },
   {
@@ -3359,7 +3362,7 @@
           1
          ],
          "range": [
-          123.77777777777737,
+          123.77777777777783,
           34228.22222222222
          ],
          "title": {
@@ -3369,7 +3372,7 @@
         }
        }
       },
-      "image/png": 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",
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fill: none; stroke: rgb(31, 119, 180); stroke-opacity: 1; stroke-width: 2px; opacity: 1;\"/></g><g class=\"points\"/><g class=\"text\"/></g></g></g><g class=\"overplot\"/><path class=\"xlines-above crisp\" d=\"M65,192.5H340\" style=\"fill: none; stroke-width: 1px; stroke: rgb(36, 36, 36); stroke-opacity: 1;\"/><path class=\"ylines-above crisp\" d=\"M65.5,10V192\" style=\"fill: none; stroke-width: 1px; stroke: rgb(36, 36, 36); stroke-opacity: 1;\"/><g class=\"overlines-above\"/><g class=\"xaxislayer-above\"><path class=\"xtick ticks crisp\" d=\"M0,193v5\" transform=\"translate(105.14,0)\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; stroke-width: 1px;\"/><path class=\"xtick ticks crisp\" d=\"M0,193v5\" transform=\"translate(203,0)\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; stroke-width: 1px;\"/><path class=\"xtick ticks crisp\" d=\"M0,193v5\" transform=\"translate(300.86,0)\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; stroke-width: 1px;\"/><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"212.4\" transform=\"translate(105.14,0)\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre; opacity: 1;\">1900</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"212.4\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(203,0)\">1950</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"212.4\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(300.86,0)\">2000</text></g></g><g class=\"yaxislayer-above\"><path class=\"ytick ticks crisp\" d=\"M65,0h-5\" transform=\"translate(0,139.3)\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; stroke-width: 1px;\"/><path class=\"ytick ticks crisp\" d=\"M65,0h-5\" transform=\"translate(0,85.93)\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; stroke-width: 1px;\"/><path class=\"ytick ticks crisp\" d=\"M65,0h-5\" transform=\"translate(0,32.56)\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; stroke-width: 1px;\"/><g class=\"ytick\"><text text-anchor=\"end\" x=\"57.6\" y=\"4.199999999999999\" transform=\"translate(0,139.3)\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre; opacity: 1;\">10k</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"57.6\" y=\"4.199999999999999\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(0,85.93)\">20k</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"57.6\" y=\"4.199999999999999\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(0,32.56)\">30k</text></g></g><g class=\"overaxes-above\"/></g></g><g class=\"polarlayer\"/><g class=\"smithlayer\"/><g class=\"ternarylayer\"/><g class=\"geolayer\"/><g class=\"funnelarealayer\"/><g class=\"pielayer\"/><g class=\"iciclelayer\"/><g class=\"treemaplayer\"/><g class=\"sunburstlayer\"/><g class=\"glimages\"/><defs id=\"topdefs-fa1ecf\"><g class=\"clips\"/></defs><g class=\"layer-above\"><g class=\"imagelayer\"/><g class=\"shapelayer\"/></g><g class=\"infolayer\"><g class=\"g-gtitle\"/><g class=\"g-xtitle\"><text class=\"xtitle\" x=\"203\" y=\"239.20625\" text-anchor=\"middle\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(36, 36, 36); opacity: 1; font-weight: normal; white-space: pre;\">Year</text></g><g class=\"g-ytitle\" transform=\"translate(3.0654296875,0)\"><text class=\"ytitle\" transform=\"rotate(-90,10.934375000000003,101)\" x=\"10.934375000000003\" y=\"101\" text-anchor=\"middle\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(36, 36, 36); opacity: 1; font-weight: normal; white-space: pre;\"># unique names</text></g></g></svg>"
       ]
diff --git a/content/ch/07/sql_subsetting.ipynb b/content/ch/07/sql_subsetting.ipynb
index 2dba89e2f..8d2bc0b89 100644
--- a/content/ch/07/sql_subsetting.ipynb
+++ b/content/ch/07/sql_subsetting.ipynb
@@ -39,7 +39,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -48,7 +47,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -60,7 +58,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -73,7 +70,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -85,15 +81,16 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "tags": [],
+    "user_expressions": []
+   },
    "source": [
     "## SQL Basics: SELECT and FROM"
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -113,7 +110,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -132,7 +128,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -147,7 +142,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -272,7 +266,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -286,7 +279,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -294,7 +286,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -302,7 +293,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -327,7 +317,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -528,7 +517,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -627,7 +615,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -636,7 +623,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -644,7 +630,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -767,7 +752,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -799,7 +783,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -927,7 +910,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -1054,7 +1036,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -1062,7 +1043,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -1193,7 +1173,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -2418,7 +2397,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -2432,7 +2410,7 @@
    "hash": "301397dfac98ba5645188aec337edeb5e3836fad86b22b9be8631e97bb683640"
   },
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -2446,7 +2424,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.4"
+   "version": "3.10.12"
   },
   "toc": {
    "nav_menu": {},
diff --git a/content/ch/10/eda_example.ipynb b/content/ch/10/eda_example.ipynb
index b8a6a2022..5a24a07fc 100644
--- a/content/ch/10/eda_example.ipynb
+++ b/content/ch/10/eda_example.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 61,
    "metadata": {
     "tags": [
      "remove-cell"
@@ -19,7 +19,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 62,
    "metadata": {
     "tags": [
      "remove-cell"
@@ -27,15 +27,15 @@
    },
    "outputs": [],
    "source": [
-    "sfh_df = pd.read_csv('data/sfhousing.csv', on_bad_lines='skip',\n",
-    "                     usecols=['city','zip','street', 'price', 'br', 'lsqft', 'bsqft', 'date'])\n",
+    "sfh_df = pd.read_csv('data/sfhousing.csv', on_bad_lines='skip')\n",
+    "sfh_df = sfh_df[['city','zip','street', 'price', 'br', 'lsqft', 'bsqft', 'date']]\n",
     "sfh_df[\"price\"] = pd.to_numeric(sfh_df[\"price\"], errors='coerce')\n",
     "sfh_df = sfh_df.dropna(subset=['price'])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 63,
    "metadata": {
     "tags": [
      "remove-cell"
@@ -55,7 +55,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "(sec:eda_example)=\n",
     "# Example: Sale Prices for Houses"
@@ -63,7 +65,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "In this final section, we carry out an exploratory analysis using the questions in the previous\n",
     "section to direct our investigations. Although EDA typically begins in the data\n",
@@ -75,7 +79,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Our data were scraped from the [_San Francisco Chronicle_](https://www.sfchronicle.com/realestate/) (SFChron) website.\n",
     "The data comprise a complete list of homes sold in the area from April 2003 to December 2008. \n",
@@ -84,7 +90,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "As for granularity, each record represents a sale of a home in the SF Bay Area\n",
     "during the specified time period.  This means that if a home was sold\n",
@@ -95,14 +103,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "The data are in the data frame `sfh_df`:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 64,
    "metadata": {},
    "outputs": [
     {
@@ -140,34 +150,34 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Alameda</td>\n",
-       "      <td>94501.0</td>\n",
+       "      <td>94501.00</td>\n",
        "      <td>1001 Post Street</td>\n",
-       "      <td>689000.0</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>4484.0</td>\n",
-       "      <td>1982.0</td>\n",
+       "      <td>689000.00</td>\n",
+       "      <td>4.00</td>\n",
+       "      <td>4484.00</td>\n",
+       "      <td>1982.00</td>\n",
        "      <td>2004-08-29</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>Alameda</td>\n",
-       "      <td>94501.0</td>\n",
+       "      <td>94501.00</td>\n",
        "      <td>1001 Santa Clara Avenue</td>\n",
-       "      <td>880000.0</td>\n",
-       "      <td>7.0</td>\n",
-       "      <td>5914.0</td>\n",
-       "      <td>3866.0</td>\n",
+       "      <td>880000.00</td>\n",
+       "      <td>7.00</td>\n",
+       "      <td>5914.00</td>\n",
+       "      <td>3866.00</td>\n",
        "      <td>2005-11-06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>Alameda</td>\n",
-       "      <td>94501.0</td>\n",
+       "      <td>94501.00</td>\n",
        "      <td>1001 Shoreline Drive \\#102</td>\n",
-       "      <td>393000.0</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>39353.0</td>\n",
-       "      <td>1360.0</td>\n",
+       "      <td>393000.00</td>\n",
+       "      <td>2.00</td>\n",
+       "      <td>39353.00</td>\n",
+       "      <td>1360.00</td>\n",
        "      <td>2003-09-21</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -182,36 +192,36 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>521490</th>\n",
+       "      <th>521488</th>\n",
        "      <td>Windsor</td>\n",
-       "      <td>95492.0</td>\n",
+       "      <td>95492.00</td>\n",
        "      <td>9998 Blasi Drive</td>\n",
-       "      <td>392500.0</td>\n",
+       "      <td>392500.00</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>3111.0</td>\n",
+       "      <td>3111.00</td>\n",
        "      <td>NaN</td>\n",
        "      <td>2008-02-17</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>521491</th>\n",
+       "      <th>521489</th>\n",
        "      <td>Windsor</td>\n",
-       "      <td>95492.0</td>\n",
+       "      <td>95492.00</td>\n",
        "      <td>9999 Blasi Drive</td>\n",
-       "      <td>414000.0</td>\n",
+       "      <td>414000.00</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>2915.0</td>\n",
+       "      <td>2915.00</td>\n",
        "      <td>NaN</td>\n",
        "      <td>2008-02-17</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>521492</th>\n",
+       "      <th>521490</th>\n",
        "      <td>Windsor</td>\n",
-       "      <td>95492.0</td>\n",
+       "      <td>95492.00</td>\n",
        "      <td>999 Gemini Drive</td>\n",
-       "      <td>325000.0</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>7841.0</td>\n",
-       "      <td>1092.0</td>\n",
+       "      <td>325000.00</td>\n",
+       "      <td>3.00</td>\n",
+       "      <td>7841.00</td>\n",
+       "      <td>1092.00</td>\n",
        "      <td>2003-09-21</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -221,27 +231,27 @@
       ],
       "text/plain": [
        "           city      zip                      street     price   br    lsqft  \\\n",
-       "0       Alameda  94501.0            1001 Post Street  689000.0  4.0   4484.0   \n",
-       "1       Alameda  94501.0     1001 Santa Clara Avenue  880000.0  7.0   5914.0   \n",
-       "2       Alameda  94501.0  1001 Shoreline Drive \\#102  393000.0  2.0  39353.0   \n",
+       "0       Alameda 94501.00            1001 Post Street 689000.00 4.00  4484.00   \n",
+       "1       Alameda 94501.00     1001 Santa Clara Avenue 880000.00 7.00  5914.00   \n",
+       "2       Alameda 94501.00  1001 Shoreline Drive \\#102 393000.00 2.00 39353.00   \n",
        "...         ...      ...                         ...       ...  ...      ...   \n",
-       "521490  Windsor  95492.0            9998 Blasi Drive  392500.0  NaN   3111.0   \n",
-       "521491  Windsor  95492.0            9999 Blasi Drive  414000.0  NaN   2915.0   \n",
-       "521492  Windsor  95492.0            999 Gemini Drive  325000.0  3.0   7841.0   \n",
+       "521488  Windsor 95492.00            9998 Blasi Drive 392500.00  NaN  3111.00   \n",
+       "521489  Windsor 95492.00            9999 Blasi Drive 414000.00  NaN  2915.00   \n",
+       "521490  Windsor 95492.00            999 Gemini Drive 325000.00 3.00  7841.00   \n",
        "\n",
        "         bsqft  timestamp  \n",
-       "0       1982.0 2004-08-29  \n",
-       "1       3866.0 2005-11-06  \n",
-       "2       1360.0 2003-09-21  \n",
+       "0      1982.00 2004-08-29  \n",
+       "1      3866.00 2005-11-06  \n",
+       "2      1360.00 2003-09-21  \n",
        "...        ...        ...  \n",
-       "521490     NaN 2008-02-17  \n",
-       "521491     NaN 2008-02-17  \n",
-       "521492  1092.0 2003-09-21  \n",
+       "521488     NaN 2008-02-17  \n",
+       "521489     NaN 2008-02-17  \n",
+       "521490 1092.00 2003-09-21  \n",
        "\n",
        "[521491 rows x 8 columns]"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 64,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -252,7 +262,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "The dataset does not have an accompanying codebook, but we\n",
     "can determine the features and their storage types by inspection:"
@@ -260,7 +272,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 65,
    "metadata": {},
    "outputs": [
     {
@@ -268,7 +280,7 @@
      "output_type": "stream",
      "text": [
       "<class 'pandas.core.frame.DataFrame'>\n",
-      "Int64Index: 521491 entries, 0 to 521492\n",
+      "RangeIndex: 521491 entries, 0 to 521490\n",
       "Data columns (total 8 columns):\n",
       " #   Column     Non-Null Count   Dtype         \n",
       "---  ------     --------------   -----         \n",
@@ -281,7 +293,7 @@
       " 6   bsqft      444465 non-null  float64       \n",
       " 7   timestamp  521491 non-null  datetime64[ns]\n",
       "dtypes: datetime64[ns](1), float64(5), object(2)\n",
-      "memory usage: 35.8+ MB\n"
+      "memory usage: 31.8+ MB\n"
      ]
     }
    ],
@@ -291,7 +303,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Based on the names of the fields, we expect the primary key to consist of some\n",
     "combination of city, zip code, street address, and date.\n",
@@ -303,21 +317,25 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "## Understanding Price"
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "It seems that a good guess for the shape of the distribution of sale price might be highly skewed to the right with a few very expensive houses. The following summary statistics confirm this skewness:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 66,
    "metadata": {
     "tags": [
      "hide-input"
@@ -331,7 +349,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 67,
    "metadata": {},
    "outputs": [
     {
@@ -392,7 +410,7 @@
        "100 20000000.00"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 67,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -405,7 +423,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "The median is closer to the lower quartile than the upper quartile. \n",
     "Also, the maximum is 40 times the median!\n",
@@ -416,7 +436,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 68,
    "metadata": {},
    "outputs": [
     {
@@ -482,7 +502,7 @@
        "99.90 3950000.00"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 68,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -495,7 +515,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "We see that 99.9\\% of the houses sold for under \\$4M so the \\$20M sale is indeed\n",
     "a rarity. Let's examine the histogram of sale prices below \\$4M:"
@@ -503,7 +525,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 69,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -512,7 +534,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 70,
    "metadata": {},
    "outputs": [
     {
@@ -521918,12 +521940,10 @@
           ],
           "scatter": [
            {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 1,
-              "tickcolor": "rgb(36,36,36)",
-              "ticks": "outside"
-             }
+            "fillpattern": {
+             "fillmode": "overlay",
+             "size": 10,
+             "solidity": 0.2
             },
             "type": "scatter"
            }
@@ -522443,9 +522463,9 @@
         }
        }
       },
-      "image/png": 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Zh3TpSwykSx9r03uCdJmeIT3jg3Tp4RzGXiBdhmYd0qUvMZAufaxN7wnSZXqG9IwP0qWHcxh7gXQZmnVIl77EQLr0sTa9J0iX6RnSMz5Ilx7OYewF0mVo1iFd+hID6dLH2vSeIF2mZ0jP+CBdejiHsRdIl6FZh3TpSwykSx9r03uCdJmeIT3jg3Tp4RzGXiBdhmYd0qUvMZAufaxN7wnSZXqG9IwP0qWHcxh7gXQZmnVIl77EQLr0sTa9J0iX6RnSMz5Ilx7OYewF0mVo1iFd+hID6dLH2vSeIF2mZ0jP+CBdejiHsRdIl6FZh3TpSwykSx9r03uCdJmeIT3jg3Tp4RzGXiBdhmYd0qUvMZAufaxN7wnSZXqG9IwP0qWHcxh7gXQZmnVIl77EQLr0sTa9J0iX6RnSMz5Ilx7OYewF0mVo1iFd+hID6dLH2vSeIF2mZ0jP+CBdejiHsRdIl6FZh3TpSwykSx9r03uCdJmeIT3jg3Tp4RzGXiBdhmYd0qUvMZAufaxN7wnSZXqG9IwP0qWHcxh7gXQZmnVIl77EQLr0sTa9J0iX6RnSMz5Ilx7OYewF0mVo1iFd+hID6dLH2vSeIF2mZ0jP+CBdejiHsRdIl6FZh3TpSwykSx9r03uCdJmeIT3jg3Tp4RzGXiBdhmYd0qUvMZAufaxN7wnSZXqG9IwP0qWHcxh7gXQZmnVIl77EQLr0sTa9J0iX6RnSMz5Ilx7OYewF0mVo1iFd+hID6dLH2vSeIF2mZ0jP+CBdejiHsRdIl6FZh3TpSwykSx9r03uCdJmeIT3jg3Tp4RzGXiBdhmYd0qUvMZAufaxN7wnSZXqG9IwP0qWHcxh7MVa6eNIfP36cSpUqRYUKFcrMzYkTJygmJoYKFy6c+bOFCxdSnTp1qFKlStI5rF69Ou3cuVO6vO6CkC59xCFd+lib3hOky/QM6RkfpEsP5zD2Ypx0bd++nQYOHEj79u0TYjVz5kyqWrUqsWz169eP1qxZI/LUqVMn6tOnjxCyjh07Uo8ePSgpKUk6h5AuohoVStCIdonUPnWtNLfScbGU1r0hJY9dJV2HC77TtzlVLRevVEdXYUiXLtLm9wPpMj9HOkYI6dJBOZx9GCVdBw8epBtvvJFGjhxJN998c7aMTJs2jVauXElTp04VK2Bt27alIUOGUJMmTSBdRJRUvTylNK5C3WZ8KD2TIV2/o4J0SU8Z5wtCupxPsVSAkC4pTCjkgYBR0vXiiy/S3r17afjw4WeFwqtZXbt2peTkZPG7SZMmibLDhg3LJl0rVqygiRMn0pQpU6h06dK5IsFKF1a6IpMD0uXhncPRKpAuRxOrGBakSxEYiksTMEq6Hn74Yapbt65YeeB/eDWrXr16YguxadOmNHnyZKpZs6YIbsmSJTR37lziFbDI9mLJkiUpJSVFbEnWrl07TwiQLkgXpEv6fSI0BSFdoUl1noFCujAPgiJglHTdcccdtH//furfvz+lp6fT2LFj6amnnhJbjSxJy5Yto2rVqgkWvNU4fvx4mjdvnpCuli1b0ujRo2ncuHHUrFmzbLy4bM7rgQceoI8//jgorufVblRUFC359AD9JW2LdDtetxeHt0ukOxXPdM3p3pBuVTzTteLxZnRRiRjpeHQWPHbsGBUpUkTcoIEr3AR+/vlncfMOrnATOH36NJ08eZLi4808hxru7OiPvmjRor51apR03XbbbfTQQw9RmzZtRICzZ8+mTZs20ZgxY8RKV2pqKtWqVUv8btGiRTR//vzMla6NGzeKF8jy5cspISEhG6C///3vZwGbMWMGbdiwwTeQfjYUHR1Nb+38iXq98pF0s96lqxbdmfq+dD98kH5O9wZ069jV0nW44Nt9kqhckXSlOroK86daFi6WXVzhJvDrr7+Sn2+w4aZpb/T8oZ/FKzY21t4gMHLfCPj5Qcwo6XrwwQfp9ttvz5SuBQsWiG1E3lbs3LkzdejQgVq1aiVATpgwQayKRc508c937NhBu3fvpunTpxOLS14XthexvRiZHzjT5dt7k/UNYXvR+hT6EgC2F33BiEbOQcAo6eLnbfEB+bS0NMrIyKBevXoRbznyP/wzljBeoeK7F3k1bOjQodS8efPMM13169cXP2/fvj2xwEG68p7zuHvxdz6QLrw3RghAujAXmACkC/MgKAJGSdeZM2fEnYt8EL5s2bL0xz/+kXr27EnFixenU6dO0aBBg8S5Lj6D061bN3H2i7eEsj6ni5/z1bp1a7H1mJiYmCs3rHRhpQsrXUG9rdjbLqTL3tz5OXJIl5800VZWAkZJV2RgPOH5Otd++rmeSO8lpZAuSBeky8srx+06kC638ysbHaRLlhTKqRIwUrpUg/BSHtIF6YJ0eXnluF0H0uV2fmWjg3TJkkI5VQKQLlVimsrjuxc1gcaZLn2gLegJ0mVBkjQMEdKlAXJIu4B0GZp4SJe+xOAgvT7WpvcE6TI9Q3rGB+nSwzmMvUC6DM06pEtfYiBd+lib3hOky/QM6RkfpEsP5zD2AukyNOuQLn2JgXTpY216T5Au0zOkZ3yQLj2cw9gLpMvQrEO69CUG0qWPtek9QbpMz5Ce8UG69HAOYy+QLkOzDunSlxhIlz7WpvcE6TI9Q3rGB+nSwzmMvUC6DM06pEtfYiBd+lib3hOky/QM6RkfpEsP5zD2AukyNOuQLn2JgXTpY216T5Au0zOkZ3yQLj2cw9gLpMvQrEO69CUG0qWPtek9QbpMz5Ce8UG69HAOYy+QLkOzDunSlxhIlz7WpvcE6TI9Q3rGB+nSwzmMvUC6DM06pEtfYiBd+lib3hOky/QM6RkfpEsP5zD2AukyNOuQLn2JgXTpY216T5Au0zOkZ3yQLj2cw9iLZ+k6fvw4xcXFWcsMX3iNL7yOTF5Il7UvY98HDunyHamVDUK6rEybFYPOU7pGjhxJCQkJ1KVLl7OCueaaa2jx4sV08cUXWxFozkFCuiBdkC4rX7qBDhrSFSheaxqHdFmTKusG6km69u7dSy1atKBVq1bRhRdeaF3QPGBIF6QL0mXlSzfQQUO6AsVrTeOQLmtSZd1AzyldmzZtoqeffpr27NlDRYsWpfLly2cGdvr0afriiy+obt26lJaWZl3AkQFDuiBdkC5rX76BDRzSFRhaqxqGdFmVLqsGe07pSk9Pp08++YSee+45KlGiBF1//fWZQRUqVEisEtWrV49iYmKsCjbrYCFdkC5Il7Uv38AGDukKDK1VDUO6rEqXVYPNc3txx44ddPToUbr22mutCkpmsJAuSBekS+aVEq4ykK5w5Tu3aCFdmAdBEZC6e/HMmTN04MCBs8ZQoUIF4pUvGy9IF6QL0mXjKzfYMUO6guVrS+uQLlsyZd8485QufizEs88+S2+88QYdO3bsrOg2bNhApUqVsi9qHKQXOatRoQSNaJdI7VPXSuewdFwspXVvSMljV0nX4YLv9G1OVcvFK9XRVRiPjNBF2vx+IF3m50jHCCFdOiiHs488pWvp0qU0ePBgevLJJykxMfGsVa3KlStTVFSUleSw0gXpwkqXlS/dQAcN6QoUrzWNQ7qsSZV1A81TugYMGEClS5emfv36WRdYfgOGdEG6IF35vUrC93tIV/hyfq6IIV2YB0ERyFO6xo4dS1999RW98MILQfVfYO1CuiBdkK4Ce/kZ2zGky9jUaB0YpEsr7lB1lqd0ff3113T33XfT8OHDxSMiSpYs6QwcSBekC9LlzMvZt0AgXb6htLohSJfV6TN68HlK17Rp02jEiBG5BoCD9MHl1rUvvP5w4E1UvkSR4ICdR8s4SH8e8ByrCulyLKEew4F0eQSHavkSyFO6du/eTd9++22ujTRo0ICio6Pz7cTEAljp0rvStaJvc5qy+iulqXDPdZWo1sXB3x0L6VJKi9OFIV1Op1c6OEiXNCoUVCQg9ZwuxTatKA7p0i9dyc+volNn0qXnx6LHmkC6pGmhoB8EIF1+ULS/DUiX/Tk0NYI8pevdd9+lzZs35zr2hx56SHw3o40XpAvSFZm3WOmy8RUczJghXcFwta1VSJdtGbNnvHlK19y5c2nZsmWZ0fBE3LVrF+3fv5+aN28u7mosVqyYPdFmGSmkC9IF6bLypRvooCFdgeK1pnFIlzWpsm6gytuLGRkZ9OKLL9Lq1aspLS3NuoAjA4Z0QbogXda+fAMbOKQrMLRWNQzpsipdVg1WWbo4uoMHD1LDhg3pvffeo4SEBKsChnT9L106vwaID9LjTJeVL5VQDRrSFap05xospAvzICgCnqSLtxebNm1KH3zwAZUpUyaosQXaLla6sNKFla5AX2JWNg7psjJtvg8a0uU7UjT4XwJ5SteWLVvo888/zwaLDx0vXryY4uPjsb0Y4DRy7TldWOkKcLKgad8IQLp8Q2l1Q5Auq9Nn9ODzlK6XXnrpLLFi2brxxhupTZs2VLVqVaODy2twWOnCShdWuqx9+QY2cEhXYGitahjSZVW6rBqsp+1FqyLMZbCQLkgXpMuFV7K/MUC6/OVpa2uQLlszZ/64paTrl19+EY+KOHr0KF100UVUuXJlKlSokPnR5TFCSBekC9Jl9Us4kMFDugLBal2jkC7rUmbNgPOVrtmzZ9MzzzyTLaC6devSqFGj6JJLLrEm0JwDhXRBuiBd1r58Axs4pCswtFY1DOmyKl1WDTZP6Vq7di116dKFevfuLe5WrFixIm3atImmT59OZ86cIX54qq0XpAvSBemy9dUb3LghXcGxtallSJdN2bJrrHlK19///nfauXMnzZgxI1tUW7dupfbt29P7779P5cqVsyvi/44W0gXpgnRZ+dINdNCQrkDxWtM4pMuaVFk30Dylq3///lSyZEkaOHBgtsAOHTpEDRo0oLfffpsqVapkXdA8YEgXpAvSZeVLN9BBQ7oCxWtN45Aua1Jl3UDzlK6ZM2fSmDFjxPcvVqhQQQTH24rjxo2jV199ldatW2ddwJEBQ7ogXZAua1++gQ0c0hUYWqsahnRZlS6rBpundJ04cYI6dOhA27dvp8svv1wcnF+5cqUIcMqUKdSsWTOrgs06WEgXpAvSZe3LN7CBQ7oCQ2tVw5Auq9Jl1WDzvXvx1KlTtHDhQtq2bRsdO3aMrrrqKkpKSqJq1apZFWjOwUK6IF2QLqtfwoEMHtIVCFbrGoV0WZcyawacp3R9++23FBUVJe5azHr9/PPPtG/fPqpZs6Y1gUK6zk4VvvD6dyb81Vb8TQuxsbHWzmcM3B8CkC5/ONreCqTL9gyaO/48pWvkyJG0Z88eeuGFF7JF8Omnn4qvAeJtx+joaHOjy2NkWOnCShdWuqx86QY6aEhXoHitaRzSZU2qrBtontLFz+e67LLL6NFHH80W2MmTJ6lWrVq0fPlya79/EdIF6YJ0Wfd+FfiAIV2BI7aiA0iXFWmycpB5Stc//vEPWr16Nf373//OFtyaNWuoa9eutGHDBipVqpSVgUO6IF2QLitfuoEOGtIVKF5rGod0WZMq6waap3Rt2bKF7rrrLvFP8+bNxfcubt68mWbNmiX+e8CAAdYFHBkwpAvSBemy9uUb2MAhXYGhtaphSJdV6bJqsPnevbh48WIaOnQoHTx4MDOwm266iYYMGULly5e3Ktisg4V0QbogXda+fAMbOKQrMLRWNQzpsipdVg02X+niaNLT0+nHH3+kI0eO0IUXXiju9Ar64j5Pnz591h1l/OywmJgYKly4cOYQ+JEWderUUXo6PqQL0gXpCvpVbF/7kC77chbEiCFdQVBFm0xASroKAtXgwYNp6dKlmU+9Z9nq168f8Xkyvjp16kR9+vShQoUKUceOHalHjx7i+WGyF6QL0gXpkn21hKccpCs8uc4rUkgX5kFQBIyUrrVr19KgQYPo+PHjmdI1bdo08TT8qVOnip+3bdtWbHE2adIE0kVESdXLU0rjKtRtxofScwXP6fodFZ7TJT1lnC8I6XI+xVIBQrqkMKGQBwLGSRc/eJWF6umhr5B6AAAgAElEQVSnnyb+wu3I9zvyahbfMZmcnCzCnDRpEu3du5eGDRuWTbpWrFhBEydOFF9TVLp06VyRYKULK11Y6fLwjuF4FUiX4wmWDA/SJQkKxZQJGCddLFo1atSgW265Rdw1GZGupk2b0uTJkzOfgr9kyRKaO3cu8QpYZHuxZMmSlJKSQvxF3bVr184TBqQL0gXpUn6/cL4CpMv5FEsFCOmSwoRCHggYJV1vvfWWEKu0tDTiryDKKl0sScuWLcv8zkfeahw/fjzNmzdPSFfLli1p9OjRNG7cuLO+iJsFLefVs2dP2rp1qwdkwVfhr15a+tmP9Je0LdKded1eHN4uke5MXSvdT+m4WJrTvSHdOnaVdB0uuOLxZpQ8djWdOpMuXe/fjzam6uWKUkZGhnQdLwV5u5q/Aohv0MAVbgJ8sxB/eMMVbgJ8ExeLV1xcXLhBIHpBoFixYr6RMEa6Dh06RDfccIPYNrz88svF1iGvWrGI8TYhPxcsNTVVPAmfr0WLFtH8+fMzV7o2btwo7qrkp+QnJCRkAzRmzJizgHFbXMfEi79a6c0dh6nXKx9JD8+7dNWiO1Pfl+7nd+lqQLeOXS1dx6t0vfFoI6paKiZw6eJvWOC7YVl2cYWbAN+w4+cbbLhp2hs93z1/6tQpKlKkiL1BYOS+EfDzg5gx0rVq1Sq6//77zwmJV6r40HyHDh2oVatWosyECRNo//79mWe6+Oc7duyg3bt30/Tp0/P9TkhsL2J7MTLZcJDet/cm6xvC9qL1KfQlAGwv+oIRjZyDgDHSlXNs/EXbWbcXectxwYIFNGPGDHH3In/hNj+0lVfAIme66tevL37evn17evDBB/NMOKQL0gXpwntiTgKQLswJJgDpwjwIioA10sVLvfwYCT7XdezYMerWrZu4u5G3hLI+p2v79u3UunVrsfWYmJiYKzdIF6QL0hXU24q97UK67M2dnyOHdPlJE21lJWCsdOWWpnM9kd5LSiFdkC5Il5dXjtt1IF1u51c2OkiXLCmUUyVgnXSpBphbeUgXpAvS5deryZ12IF3u5PJ8IoF0nQ891M2LAKTL0PnxxpZvqWfaZunReb17cUS7RGqv+MiItO4NKVn1kRF9m1Py86uUHhmx6LEmVOviUtIMvBbEQXqv5NyrB+lyL6deIoJ0eaGGOjIEIF0ylAqgDKSLCNJVABMv5F1CukI+Af4bPqQL8yAoApCuoMieZ7uQLkjXeU4hVPdAANLlAZqDVSBdDibVkJAgXRoSkZ6u/kT1RVu/w/Yithc1zE50kZUApAvzgQlAujAPgiIA6QqKbJZ2p63ZRR/v+1m6p0vLxFHVcvHU+5XgvwYIZ7qIcKZLemo6XxDS5XyKpQKEdElhQiEPBCBdHqCpVmHpGrLoU+lqbetcTEk1ykO6sNIlPWdQ0B8CkC5/ONreCqTL9gyaO35Il4bcQLqIVuDuRQ0zDV2cLwFI1/kSdKM+pMuNPJoYBaRLQ1YgXZAuDdMMXfhAANLlA0QHmoB0OZBEQ0OAdGlIDKQL0qVhmqELHwhAunyA6EATkC4HkmhoCJAuDYmBdEG6NEwzdOEDAUiXDxAdaALS5UASDQ0B0qUhMZAuSJeGaYYufCAA6fIBogNNQLocSKKhIUC6NCQG0gXp0jDN0IUPBCBdPkB0oAlIlwNJNDQESJeGxEC6IF0aphm68IEApMsHiA40AelyIImGhgDp0pAYSBekS8M0Qxc+EIB0+QDRgSYgXQ4k0dAQIF0aEgPpgnRpmGbowgcCkC4fIDrQBKTLgSQaGgKkS0NiIF2QLg3TDF34QADS5QNEB5qAdDmQRENDgHRpSAyky5t0Le+dRHGx0coZuqR0nFIdfPeiEi6nC0O6nE6vdHCQLmlUKKhIANKlCMxLcUiXd+m6e/I6Onz8N2ns/3qgATW+rJx0eS4I6VLC5XRhSJfT6ZUODtIljQoFFQlAuhSBeSkO6YJ0eZk3qKOfAKRLP3MTe4R0mZgVN8YE6dKQR0gXpEvDNEMXPhCAdPkA0YEmIF0OJNHQECBdGhID6YJ0aZhm6MIHApAuHyA60ASky4EkGhoCpEtDYiBdkC4N0wxd+EAA0uUDRAeagHQ5kERDQ4B0aUgMpAvSpWGaoQsfCEC6fIDoQBOQLgeSaGgIkC4NiYF0Qbo0TDN04QMBSJcPEB1oAtLlQBINDQHSpSExkC5Il4Zphi58IADp8gGiA01AuhxIoqEhQLo0JAbSBenSMM3QhQ8EIF0+QHSgCUiXA0k0NARIl4bEQLogXRqmGbrwgQCkyweIDjQB6XIgiYaGAOnSkBhIF6RLwzRDFz4QgHT5ANGBJiBdDiTR0BAgXRoSA+mCdGmYZujCBwKQLh8gOtAEpMuBJBoaAqRLQ2IgXZAuDdMMXfhAANLlA0QHmoB0OZBEQ0OAdGlIDKQL0qVhmqELHwhAunyA6EATkC4HkmhoCJAuDYmBdEG6NEwzdOEDAUiXDxAdaALS5UASDQ0B0qUhMZAuSJeGaYYufCAA6fIBogNNQLocSKKhIUC6NCQG0gXp0jDN0IUPBCBdPkB0oAlIlwNJNDQESJeGxEC6IF0aphm68IEApMsHiA40AelyIImGhgDp0pAYSBekS8M0Qxc+EIB0+QDRgSYgXQ4k0dAQIF0aEgPpgnRpmGbowgcCkC4fIDrQBKTLgSQaGgKkS0NiIF2QLg3TDF34QADS5QNEB5qAdDmQRENDgHRpSAykC9KlYZqhCx8IQLp8gOhAE5AuB5JoaAiQLg2JgXRBujRMM3ThAwFIlw8QHWgC0uVAEg0NAdKlITGQLkiXhmmGLnwgAOnyAaIDTUC6HEiioSFAujQkBtIF6dIwzdCFDwQgXT5AdKAJSJcDSTQ0BEiXhsRAuiBdGqYZuvCBAKTLB4gONAHpciCJhoYA6dKQGEgXpEvDNEMXPhCAdPkA0YEmIF0OJNHQECBdGhID6YJ0aZhm6MIHApAuHyA60ASky4EkGhoCpEtDYiBdkC4N0wxd+EAA0uUDRAeagHQ5kERDQ4B0aUgMpAvSpWGaoQsfCEC6fIDoQBOQLgeSaGgIkC4NiYF0Qbo0TDN04QMBSJcPEB1oAtLlQBINDQHSpSExkC5Il4Zphi58IADp8gGiA01AuhxIoqEhGCldx44do7i4OCpUqNBZ2E6cOEExMTFUuHDhzN8tXLiQ6tSpQ5UqVZLGXL16ddq5c6d0+fMpCOmCdJ3P/EFdfQQgXfpYm9wTpMvk7Ng9NqOk680336SRI0fSDz/8QCVKlKB77rmHHn74YUGYZatfv360Zs0a8d+dOnWiPn36CDHr2LEj9ejRg5KSkqSzAekiqlGhBI1ol0jtU9dKcysdF0tp3RtS8thV0nW44Iq+zSn5+VV06ky6dL3lvZPo7snr6PDx36Tr/OuBBtT4snLS5bng4cOHKT4+nmJjY5XqobB7BCBd7uXUS0SQLi/UUEeGgFHStWjRIrFaVbt2bdq3bx81b96c3nrrLapcuTJNmzaNVq5cSVOnTqXjx49T27ZtaciQIdSkSRNIFxElVS9PKY2rULcZH8rkXZSBdP2OCtIlPWWcLwjpcj7FUgFCuqQwoZAHAkZJV87x8wpWt27d6JZbbhFi1bVrV0pOThbFJk2aRHv37qVhw4Zlk64VK1bQxIkTacqUKVS6dOlckWClC9IVmRyQLg/vHI5WgXQ5mljFsCBdisBQXJqAsdJ14MABatSoEa1bt47Kli1LTZs2pcmTJ1PNmjVFcEuWLKG5c+eKFbDI9mLJkiUpJSWFZs6cKVbL8rogXZAuSJf0+0RoCkK6QpPqPAOFdGEeBEXASOk6c+YMPfTQQ3TVVVdRr169ROwsScuWLaNq1aqJ/+atxvHjx9O8efOEdLVs2ZJGjx5N48aNo2bNmmXj9dprr53F78knn6SPPvooKK6Z7UZHR9PsD7+loYs+le6rbZ2LKalGeer9yhbpOl63F4e3S6Q7Fc90zenekG5VPdP1eDNKHrs68DNds++/jupeUpwyMjKk2fF2NZ/n4hs0cIWbwC+//CLOk+IKN4HTp08Tixff0IULBPycB0ZK1+DBg8WZLt5CZGnhi1e6UlNTqVatWuK/+fzX/PnzM1e6Nm7cKA5DL1++nBISErLNEl4hy3mNGjWKNm3aFPhs4vHP2bifhi7+TLov86WrAd06drV0PFxwhSbp+tf919E1F8VRerr8gf2TJ0+Ku2GjoqKUYkJh9wiwgPv5BuseoXBExO8fp06doiJFioQjYESZJwE/P4gZJ11jx46l1atX04wZM7J94uzcuTN16NCBWrVqJeBMmDCB9u/fn3mmi3++Y8cO2r17N02fPj1T1nIjie1FN7cXF/dsQiWK/u9xIjLvJfwGe3GpItkeQyJTD2XcI4DtRfdy6iUibC96oYY6MgSMki4+/P7qq6/SrFmzqFSpUmL8vFLEqxBpaWm0YMECIWP8abRNmzY0dOhQcYdj5ExX/fr1xc/bt29PDz74YJ7xQ7rcla6HZ2+ibw4dl5n/oszEe66hW/6QAOmSJuZuQUiXu7lViQzSpUILZVUIGCVdLEI5r3r16tGcOXPEUu+gQYPEuS5+eCrf1di/f3+xJZT1OV3bt2+n1q1bi63HxMTEXFlAuiBdkckB6VJ5y3C7LKTL7fzKRgfpkiWFcqoEjJIumcGf64n0MvVyloF0QbogXV5eOW7XgXS5nV/Z6CBdsqRQTpWAddKlGmBu5SFdkC5Il1+vJnfagXS5k8vziQTSdT70UDcvApAuDfMD372o72uA+CA9znRpmNSOdgHpcjSximFBuhSBobg0AUiXNCrvBSFdkC7vswc1dRKAdOmkbW5fkC5zc2P7yCBdGjII6YJ0aZhm6MIHApAuHyA60ASky4EkGhoCpEtDYiBdkC4N0wxd+EAA0uUDRAeagHQ5kERDQ4B0aUgMpAvSpWGaoQsfCEC6fIDoQBOQLgeSaGgIkC4NiYF0Qbo0TDN04QMBSJcPEB1oAtLlQBINDQHSpSExkC5Il4Zphi58IADp8gGiA01AuhxIoqEhQLo0JAbSBenSMM3QhQ8EIF0+QHSgCUiXA0k0NARIl4bEQLogXRqmGbrwgQCkyweIDjQB6XIgiYaGAOnSkBhIF6RLwzRDFz4QgHT5ANGBJiBdDiTR0BAgXRoSA+mCdGmYZujCBwKQLh8gOtAEpMuBJBoaAqRLQ2IgXZAuDdMMXfhAANLlA0QHmoB0OZBEQ0OAdGlIDKQL0qVhmqELHwhAunyA6EATkC4HkmhoCJAuDYmBdEG6NEwzdOEDAUiXDxAdaALS5UASDQ0B0qUhMZAuSJeGaYYufCAA6fIBogNNQLocSKKhIUC6NCQG0gXp0jDN0IUPBCBdPkB0oAlIlwNJNDQESJeGxEC6IF0aphm68IEApMsHiA40AelyIImGhgDp0pAYSBekS8M0Qxc+EIB0+QDRgSYgXQ4k0dAQIF0aEgPpgnRpmGbowgcCkC4fIDrQBKTLgSQaGgKkS0NiIF2QLg3TDF34QADS5QNEB5qAdDmQRENDgHRpSAykC9KlYZqhCx8IQLp8gOhAE5AuB5JoaAiQLg2JgXRBujRMM3ThAwFIlw8QHWgC0uVAEg0NAdKlITGQLrOl6/UejSihRBGKKhSlNBsuvKCoUnkUNp8ApMv8HOkYIaRLB+Vw9gHp0pB3SJf50jXw9W10Jj1DejZ0aVSF7mlQSbo8CtpBANJlR56CHiWkK2jC4W0f0qUh95AuO6Tr0++OSM+G4W0TIV3StOwpCOmyJ1dBjhTSFSTdcLcN6dKQf0gXpEvDNEMXPhCAdPkA0YEmIF0OJNHQECBdGhID6XJPulLvrUu3JVbUMHvQhU4CkC6dtM3tC9Jlbm5sHxmkS0MGIV3uSVda94Z06NhvyrPn9sQLleuggj4CkC59rE3uCdJlcnbsHhukS0P+IF1uSteYN3fQ+l2HpGdQn5trUM8bq0uXR0H9BCBd+pmb2COky8SsuDEmSJdiHj/YdVCpRslihWntFwdp6KJPpeu1rXMxJdUoT71f2SJdJ6l6eUppXIW6zfhQuk6NCiVoRLtEap+6VrpO6bhY4lWe5LGrpOtwwRV9m1Py86vo1Jl06XrLeyfR3ZPX0eHj8itKi3s2oYdnb6JvDh2X7ocfGcF3L6ocpGcGkC5pxNYUhHRZk6pABwrpChRvqBuHdCmmf+Syz2niO19I1+qeVI0qlCwK6YJ0EVa6pF82BVYQ0lVg6I3qGNJlVDqcGgykSzGdkC6sdPGU8bLSNbVLPeLVRdXr0jJxqlVQ3iMBSJdHcI5Vg3Q5llCDwoF0KSYD0gXpOh/penn9N/TBV/LnwP54zUXEzwTDpYcApEsPZ9N7gXSZniF7xwfpUswdpAvSdb7S9fZnP0jPOn7qPaRLGtd5F4R0nTdCJxqAdDmRRiODgHQppgXSBemCdCm+aCwqDumyKFkBDhXSFSDckDcN6VKcAJAuSBekS/FFY1FxSJdFyQpwqJCuAOGGvGlIl+IEgHRBuiBdii8ai4pDuixKVoBDhXQFCDfkTUO6FCcApAvSpVO6ht5Rizo1rKw4S1HcKwFIl1dybtWDdLmVT5OigXQpZgPSBenSKV2jO1xNXx+Uf9BrZDo/2uJyio2JUpzdKA7pwhxgApAuzIOgCEC6FMlCuiBduqVrzc4f6fXN+6RnasvaF9LzHa6BdEkT+19BSJcHaA5WgXQ5mFRDQoJ0KSYC0gXpgnQpvmgsKg7psihZAQ4V0hUg3JA3DelSnACQLkgXpEvxRWNRcUiXRckKcKiQrgDhhrxpSJfiBIB0QbogXYovGouKQ7osSlaAQ4V0BQg35E1DuhQnAKQL0mW6dP2tVU26uWYFKqQ4t0sWLUyl4gor1nKrOKTLrXx6jQbS5ZUc6uVHANKVH6Ecv4d0QbpskK5vfzpBL3/wjfTsrl+1DI3vWAfS9f33VKFCBWluKOgmAUiXm3k1ISpIl2IWIF2QLluka+qaXdKz+5EWl9NddS+h6Gi19bGiMdFUvkQR6X5ML4iVLtMzpGd8kC49nMPYC6RLMeuQLkiXq9JVomgMTVMQtVqXlKKR7a+mssVjFV9F5haHdJmbG50jg3TppB2uviBdivmGdEG6XJauZ5dsl35F/KlBpd9XxwqprY7xythFFxST7kdnQUiXTtrm9gXpMjc3to8M0qWYQUgXpAvS9fuLhqXr6ksuoCfmbZV+Fd30hwQa3i6REkoUla6jsyCkSydtc/uCdJmbG9tH5ox0nTlzhn799VeKj4+Xykn16tVp586dUmWzFoJ0QbogXecnXR3qV1JaHeOvM7osoThdVCp4UYN0Kb8lOlkB0uVkWo0IygnpmjhxIo0dO1YIV/369TP/PS/CkC6iGhVK0Ih2idQ+da30ZCwdB+mCdJ2/dHWfuUF6zl19SSl6qvVVFBOlto1ZJj6WLi0TJ90PF4R0KeFytjCky9nUFnhg1kvX1q1bqXv37rRw4UIqV64c9e3bly699FLq06dPnnAhXZCuyAR5vUcjGvj6Nvr0uyPSL8i07g1pzJs7aP2uQ9J1pnapRy+v/4be/uwH6Tr8hdeq373Iz+niR0ao3r3IB+lVz3R52V7klS5V6Xry9j9Qx5fWSXOrULIovfznBsrfP5mRfoYqlSsh3Q8KukkA0uVmXk2IynrpGjduHB05coT+9re/CZ4bN26kXr160erVqyFd+cwwrHT9DgjSRcSPjHBNuqal1Kcu09Yrvc++9tD1dODoSaU6pYoVpvgiMUp10jMyqLhiHb5f4YJi7twpqgRMc2FIl2bgIerOeukaMGAAXXnlldS5c2eRth9++IEaN25M27dvp+jo6FxTyStdqzbIHwDmhooWjqYpq3fRxHe+kJ4i3ZOqEX/qHrroU+k6betcTEk1ylPvV7ZI10mqXp5SGlehbjM+lK4D6YJ0RSaLq9LV8oW8P3zlfLGs7Nucmo9aKf0a4oJv9mmmtHLHdV6891oatvgzpX7+eusVFBMVpVSncHQUxcXm/j6YW2Oqd6TGiH7UxhZVqJBYiYxW3DZWAuCx8KlTp+j48eNUqlQpjy2gGgicm4D10vXoo49SUlISdejQQUTIq15169alLVu2ZB6qnzlz5lnRDx06lAb+35v0/ZFfpedGnUql6aM9PynVqZ5QnPgN6TOFratLShejymXj6b0vfpQeG9+GX79KGfrPx99J1+GVjVa1L6I56+WfXM5v4imNqtA/V38l3Q8X7NHicnpRQVa5DgvrS6vU+unauApNf2+30tjubVCJ/qXw9HZu/M66l9BrG/cq9XNbrYq0ZNt+pTrXX1aW3v/yoFKdqy+9gHb/eIx+PnFKut4VFUvQmfQM+uKHo9J1qpSNp3IlitCG3fJbrPwBhMe3/BN5DhcUK0w31aygxLtITBTd06AyTX9P/gGxHPijLS6nCYrz9MFml9Hkd7+U5sYF729SVWn7l+t0ur6yEgOuwx/geDv71Jl06fEl16xIH+w+RL/8Kj9/ml2RQLsOHKUDv8ivEl5XtYxY7UvPkB4alSwaQz+dOKUUT4mihaloTBRFKchdYX5IcAYpCSHL45kMUvr6LRbPDP6fAgOm9Xs9tYvDV3y6CxUi9X6Yg2otzg2//6hc3E+6Yh3+W6zKmsfk5YNLbrFYL128rXjZZZdRSkqKiHH//v3UtGlT+vzzzynqv58Kc5MulQSjLAiAAAiAAAiAQPgIeHnSgbPSlZqaSt999x0NGTJExLhu3Trq169fvme6IiIW2ZYM3zRCxBECfPNFp06d6OqrrwaUkBO4+eab6c033ww5BYT/0Ucf0axZs2jUqFGAEXICfruC9StdX3zxBd155520ePFiqlixIvXs2ZOqVKkixCuvy2+QIZ+XVocP6bI6fb4OHtLlK05rG4N0WZs63wfutytYL11MmKGMGTNGwL722mvp+eefz/cApN8gfc80GtRGANKlDbXxHUG6jE+RlgFCurRgtqITv13BCenizKk+kd5vkFbMHgzynAQgXZgYEQKQLswFJgDpwjyIEPDbFZyRLtUp4jdI1f5R3hwCkC5zclHQI4F0FXQGzOgf0mVGHkwYhd+uEFrpMiGZGAMIgAAIgAAIgEB4CEC6wpNrRAoCIAACIAACIFCABCBdBQgfXYMACIAACIAACISHAKQrPLlGpCAAAiAAAiAAAgVIILTSdeLECYqJiaHChQsXIH50DQIgUBAETp48Kb6xAq//gqBvVp+//PILFS9enAqpfkeOWWFgND4R4CchZGRkCD8I4gqddLFs8YNT16xZI3jyk8j79OmDF1wQs8uwNhctWkS9e/emV155RTzPja99+/ZR8+bNqXXr1pnPeosM+5133qHu3bsTf6l6165dDYsGw/FCYPv27TRs2DDatm2bqJ6cnEyDBw+mYsWK0RtvvEGPP/64+P3dd9+drfnnnnuOpkyZQvPnz6fExEQvXaOOYQSmT59OkydPzhxV27ZtqX///uK/Bw0aJN4nli5dKr5mLut1xx130CeffEJ+fjWMYWhCO5zffvuN2rdvT1deeSWNHDlScOCvFeQvQH/vvfcoOvp/Xx5/6NAhatCgAd1www3Z5lF+8EInXdOmTaOVK1fS1KlTxbfI8wuNv0KoSZMm+bHC7y0mwF9wvn79ejpw4ABNnDhRfCl6Vunif9+wYUO2h+ryl6kvW7aMnnzySerWrZvF0WPoEQJbt26lPXv20O233y5e//fffz916NCB2rVrRwsXLiR+fMg111xDc+fOzYR2+vRpqlevHh07dozmzZtHtWvXBlAHCCxfvlz8ca1UqZJ4X+DHhcyYMUPknz9o8Rx45JFHqFevXpnRsrTzBzS+IF0OTIIcIYwdO1Z8+OK/D1mli7/TmSU9qyfMnj2bnnnmGfGh/Z///Kc0jNBJV8eOHcWqBX/C5WvSpEm0d+9e8ekWl7sEeNWqYcOG9Kc//Yn4S9KzShfPiSuuuIJuvfVW8ZVSfPGnGP4Ew//UqlUL0uXo1HjhhReIt5cGDhwopIs/kPFcef3116lq1aoiav7v//u//6NvvvmG+E0Z0uXeZOAtJf7jyaueN954o5Au3n5+6623sq1w8IonzxdeBYN0uTUP+NlsTzzxBKWkpIgP4Fmlq1mzZsRHEiI/48h5xZP/Nnz//feQrrymAi8V8pJyzZo1RbElS5aITzS8AobLfQL8KZXfWLNKFy8n83YCf3JJS0sTEP71r38Rf6rl5WYWMqx0uTc3+NwGr3TzagavcrB08bED3mosV66c+B5Xvvj/b7nlFvHB7KWXXoJ0OTQVeNXzyy+/FN/du3HjRvH/nH+Wrjp16lBqaqrIe6NGjSiy4vniiy9Sly5dIF0OzQM+dtSmTRv6xz/+Qbt37xainVW6WLY555s2baISJUqIvw09evQg3g1hh8BKVx6ToXr16mLLqFq1aqIUf7IdP3682DbA5T6B3KSLVzN4BYM/2VauXFl8imERYyGHdLk5L/jD1+rVq8WWEh+ajUgXr3yyiPEb75EjR6hFixb0/vvvi/+HdLk1F5599llasGABHTx4UJznuu+++6ho0aJCuviDGW877tq1i/iPLv+t4A/nLGG8GoaVLnfmwvDhw8VNNXzem+dDTumaNWuW+LD+xz/+URxFYDlj+apYsSL95z//gXTlt9LFn154WZAvPlzNh2Ox0uXOCyivSHKTrnXr1gnJ4hcRr3r8+c9/pnfffVec54J0uTc3eEUj8ge3bNmyIsCIdPEfWN5O4E+6X331lTh0z2/KvD0N6XJvLnBE3333Hd17773ixhmW7oh0cc5523Hz5s3iZyxbvAIG6XJnHvBZX17Nfu2114Rws0Txz/isd5kyZcRBepYuPg86Z84c8e98tovLf/jhh5Cu/KZC586dxcHZVq1aiaITJkwgPiSHM135kXPj93lJF7+A+E7WlqwPMMYAAAvNSURBVC1bUsmSJcXyMX/6hXS5kftIFCzTnFc+p8W5jVwR6WLZ4i2kr7/+mj7//HNx3qt+/fqQLremwVnRcN55u5HP+UWki48e8OoXixf/rVi7di39+OOPkC6H5gKf0+Sbq3Je/GGMP4xHpCshIYGuvvpqMTfefvttcRyFz35ipSufycBndnj5kLcU+O4l3sflO9v4RYXLfQJ5SVd6erpY4WAJX7FiBV166aWQLsemBB+Q5VVMvnv5qquuyoyOP+FmlS4+NM+rGbzyyZLGh6qx0uXOZODzfB988IGQaX4MAAs2yxWveNx1113ZpIv/sP71r38VN9mMGDFC3FCBlS535kLOSHLbXqxSpYr4e8A7YyzofAQF0iUxD/h5G7yNxOe6+BZwPiDNIPlNFZf7BPiF8tRTT2V7Thd/muVPNHzx+T7+NMvLyHzx9mKNGjXwnC5HpsYDDzwgzubkvPi5S/xMJj7jFTlAy9tMvI3Ah2X5YuniA7N4Tpf9k4HvVuTXPeedVzTKly8vROqxxx4TEsZ/I3gbkcscPXpU/DuvbPBzmXg1jO9qxpku++fBuSLIS7r4bCfvlm3ZsoXi4+PFAg4fpM/6vLf8qITukRERIHgifX5TA78HARAAAbcJ8N8BvkO5VKlSbgeK6IwhEFrpMiYDGAgIgAAIgAAIgEAoCEC6QpFmBAkCIAACIAACIFDQBCBdBZ0B9A8CIAACIAACIBAKApCuUKQZQYIACIAACIAACBQ0AUhXQWcA/YMACIAACIAACISCAKQrFGlGkCAAAiAAAiAAAgVNANJV0BlA/yAAAiAAAiAAAqEgAOkKRZoRJAiAAAiAAAiAQEETgHQVdAbQPwiAAAiAAAiAQCgIQLpCkWYECQIgAAIgAAIgUNAEIF0FnQH0DwIgAAIgAAIgEAoCkK5QpBlBggAIgAAIgAAIFDQBSFdBZwD9gwAIgAAIgAAIhIIApCsUaUaQIAACIAACIAACBU0A0lXQGUD/IAACIAACIAACoSAA6QpFmhEkCIAACIAACIBAQROAdBV0BtA/CIAACIAACIBAKAhAukKRZgQJAnoI7Nq1i44fP06XX345FSlSRKrTtWvX0vTp0+mf//ynVHk/Cp05c4aWL19ON954I8XGxvrRZLY2vvnmG0pISBAM+N8rVqx4Fo+ffvqJfvvtN1Eu63UuhqdOnaJvv/02s9gFF1xApUqVOmvc+/btEz8vXry47zGhQRAAgfMnAOk6f4ZoAQRCT2DJkiU0cuRI2rNnTyaLu+66i4YPH54vm0WLFtGwYcNo3bp1+Zb1q8DXX39NN910Ey1cuJBq1qzpV7OiHZa5v/71r7Ry5UoqXLgwXXPNNTRnzhyqV69etn6Y12effUbTpk0TP8+L4fbt26l169bZ6sfHx9M999xDjz76KMXFxYnfDRgwgH744QeaMmWKrzGhMRAAAX8IQLr84YhWQCC0BA4ePEgNGzakBx54gB5++GGxcrRz506KiYmhK6+8Ml8uBSFdPKjdu3dT5cqVqVChQvmOUbbAiRMn6JZbbqEuXbrQn//8Zzp27JiUdOXHMCJdq1evpvLly9OPP/5I27Zto7Fjx9Lp06fp9ddfp6JFi9L+/fupadOmNGnSJLGKhwsEQMAsApAus/KB0YCAdQR4ZaVx48Y0f/58SkxMPOf4582bRy+//DJ9+eWXYjutU6dO4h++ckoXb6WxTLzxxhvE/37DDTfQE088QSVLljyrbV5NWrx4MV199dU0c+ZMscqTlJRETz31FJUrV06UHz9+vBAVFqAZM2ZQ1apVafTo0XTvvfeKbc2LL75YlNu6dSuNGjVK/D9fKSkp1KtXLzEG2fHwGF588UV65513qFixYtLSlR/DiHS999572bYjWb54xY6F95FHHhHj5hW0N998U6y44QIBEDCLAKTLrHxgNCBgJQHeSmQ54e3Ec23XzZ49WwgIb7Ft3LhRiAGv2vBZp5zSNXToUCEMLDx8JmrMmDFCqp5//vmz2HDd3r17ixW1bt260a+//krjxo2jKlWqUFpamijPAsbt8RZcjx496A9/+AOVLVtWrAjxz1nC+CxU8+bNqW7dukK2eFuQy19//fWkMp7+/fvT0aNHaeLEiaJv2ZUuLpsXw9yki+vxliKf92Kh5Ovdd98Vq2wsjyx+uEAABMwhAOkyJxcYCQhYS2Dv3r3ij//7779PDRo0EOeMeMvxXFdGRoaQmccff1yIRlbpOnLkiBCfESNG0J133imqszz97W9/o82bN591QDwiXbyKVr9+fVGez0b17NmTli5dSpdddpmQLj5TxatikVWtyDZcRLpYAl966SViuYmOjs4ctup42rdvL2Lr27evsnTlxTAv6WLBY0YssXzxQXze4vz3v/8ttb1r7aTDwEHAQgKQLguThiGDgIkE0tPTie9E5IPhLADPPPOMOOgdEYH//Oc/Qgj4rr0NGzYIMeLVqazS9cknn9Add9whxKtEiRKi7qFDh8SqDdevXr16ttAj0vXxxx+LM018Rbbq+G5IXr1i6eID63Pnzs2sm1O6+Cwaj3/y5MnZ2lcdDx+aZ0Fk+eJLZaWLy+fGMC/peu6552jNmjVCsvjiOyKvuuoqsc158803mzhVMCYQCC0BSFdoU4/AQSA4AiwCy5YtoxUrVgjB+tOf/iRWX/jsF68+Pfnkk3TfffedJV2bNm2iu+++W2wZVqpUKdsAeTsw52MSItLFB/cjF0sdr3pFDpOzdPEBd17Nilw5pYu3FPncV9YyXFZ1PCxdAwcOFCt4WQWIV6M4/qwXb0WyUOb2qIysDPOSro4dO9Ill1wizqPxdfLkSapVqxakK7jpjZZBwDMBSJdndKgIAiCQGwF+FANvsW3ZsoUiKzF8uJu37g4fPkzXXXedEK+cK10HDhygRo0a0dNPPy2kLL8rIl1ZD5jzIfbu3btnPg5CRrq4P5bEnI+tUB0PyxYLHz8yInKxLPLP+Gxa5OKzZ3zTAY+zX79+5wwzK0N+FAc/MiLnQfrIVmpkVY8b+uKLL+i2224TNxjUqFEjP4T4PQiAgEYCkC6NsNEVCLhIgFdhPv/8c/FoBH52FD/KgEWLD6yzaMyaNUvcLcgSwFtfLAi81Xcu6WI+vO3I57f69OkjVsb44aL8T7t27c7CF5EuvsOR79678MILxSoZP4KB+4uKihLbi/mtdLEcsjB17txZ3FXJUsQPeb322muVxsMx8epV1m1KvkOSbzB47LHHxGoX//6VV14R26UsTfwg2fwYRla6+Gwab7vywXmWS/5v5sK8I9fbb79NDz30EA7Su/hiQ0zWE4B0WZ9CBAACBUuA70Zk4WHR4YvvBuRnRPEqFm/Z8coWr+bwXXV88QF5PrvEdxx27dr1rLsXf/75Z3HHIK/0RK7k5GSaMGHCOaWLH6zKMsMCwhdLzAsvvJB5/isv6eLVN77TkS9+5MWQIUPEOSy+OCa+g1JlPDwGFiBekWIB5Yuffs8PK01NTc1sm2MfNGiQuOmAr/wY5nw4Kt/1ecUVVxBvLfIjI7JezG79+vWZZ7wKdnagdxAAgawEIF2YDyAAAudNgO9I5Dv9WDDKlClzzvb4UQr84FTZr93htnhViFd2Iofkczac9RA+r6Lxita5vh5HJUCWRH4mWNa7GCPylN94eIWMD6/zahlvHea8+LwZPwbjXI9ykGGYXxzfffedeE5Z1u3G/Org9yAAAvoIQLr0sUZPIAACPhMoqKfZ5xUGbxnyNiPfwRm5A9PnsHNtbvDgweJJ+5FndunqF/2AAAjIEYB0yXFCKRAAAQMJmChdvGLFj6jgbcvIdyLqQseH6PlJ/PyF2LhAAATMIwDpMi8nGBEIgIAkAT5Qzof4W7RoIVkDxUAABECg4AhAugqOPXoGARAAARAAARAIEQFIV4iSjVBBAARAAARAAAQKjgCkq+DYo2cQAAEQAAEQAIEQEYB0hSjZCBUEQAAEQAAEQKDgCEC6Co49egYBEAABEAABEAgRAUhXiJKNUEEABEAABEAABAqOwP8Dxd6va1wsqGAAAAAASUVORK5CYII=",
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font-size: 14px; fill: rgb(36, 36, 36); opacity: 1; font-weight: normal; white-space: pre;\">Sale price (USD)</text></g><g class=\"g-ytitle\" transform=\"translate(3.0654296875,0)\"><text class=\"ytitle\" transform=\"rotate(-90,10.934375000000003,101)\" x=\"10.934375000000003\" y=\"101\" text-anchor=\"middle\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(36, 36, 36); opacity: 1; font-weight: normal; white-space: pre;\">count</text></g></g></svg>"
       ]
      },
      "metadata": {},
@@ -522459,7 +522479,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Even without the top 0.1%, the distribution remains highly skewed to the right, with a single mode around \\$500,000.\n",
     "Let's plot the histogram of the log-transformed sale price. The logarithm transformation often does a good job at converting a right-skewed distribution into one that is more symmetric: "
@@ -522467,7 +522489,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 71,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -522476,7 +522498,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 72,
    "metadata": {},
    "outputs": [
     {
@@ -1043882,12 +1043904,10 @@
           ],
           "scatter": [
            {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 1,
-              "tickcolor": "rgb(36,36,36)",
-              "ticks": "outside"
-             }
+            "fillpattern": {
+             "fillmode": "overlay",
+             "size": 10,
+             "solidity": 0.2
             },
             "type": "scatter"
            }
@@ -1044407,9 +1044427,9 @@
         }
        }
       },
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",
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stroke-width: 1px;\"/><path class=\"ytick ticks crisp\" d=\"M65,0h-5\" transform=\"translate(0,63.42)\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; stroke-width: 1px;\"/><g class=\"ytick\"><text text-anchor=\"end\" x=\"57.6\" y=\"4.199999999999999\" transform=\"translate(0,192)\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre; opacity: 1;\">0</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"57.6\" y=\"4.199999999999999\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(0,127.71)\">20k</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"57.6\" y=\"4.199999999999999\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(0,63.42)\">40k</text></g></g><g class=\"overaxes-above\"/></g></g><g class=\"polarlayer\"/><g class=\"smithlayer\"/><g class=\"ternarylayer\"/><g class=\"geolayer\"/><g class=\"funnelarealayer\"/><g class=\"pielayer\"/><g class=\"iciclelayer\"/><g class=\"treemaplayer\"/><g class=\"sunburstlayer\"/><g class=\"glimages\"/><defs id=\"topdefs-9ff42d\"><g class=\"clips\"/></defs><g class=\"layer-above\"><g class=\"imagelayer\"/><g class=\"shapelayer\"/></g><g class=\"infolayer\"><g class=\"g-gtitle\"/><g class=\"g-xtitle\"><text class=\"xtitle\" x=\"203\" y=\"239.20625\" text-anchor=\"middle\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(36, 36, 36); opacity: 1; font-weight: normal; white-space: pre;\">Sale price (log10 USD)</text></g><g class=\"g-ytitle\" transform=\"translate(3.0654296875,0)\"><text class=\"ytitle\" transform=\"rotate(-90,10.934375000000003,101)\" x=\"10.934375000000003\" y=\"101\" text-anchor=\"middle\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(36, 36, 36); opacity: 1; font-weight: normal; white-space: pre;\">count</text></g></g></svg>"
       ]
      },
      "metadata": {},
@@ -1044423,7 +1044443,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "We see that the distribution of log-transformed sale price is roughly symmetric. \n",
     "Now that we have an understanding of the distribution of sale price, let's\n",
@@ -1044432,7 +1044454,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "## What Next?\n",
     "\n",
@@ -1044441,7 +1044465,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Shape matters because models and statistics based on symmetric distributions tend to have more robust and stable properties\n",
     "than highly skewed distributions. (We address this issue more when we cover linear models in\n",
@@ -1044452,7 +1044478,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "As for possible comparisons to make, we look to the context. The housing market rose rapidly during this time and then the bottom fell out of the market. \n",
     "So the distribution of sale price in, say, 2004 might be quite different\n",
@@ -1044464,7 +1044492,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "We narrow our focus to one year (in {numref}`Chapter %s <ch:viz>` we look at the time dimension). We reduce the data to sales made in 2004, so rising prices should have a limited\n",
     "impact on the distributions and relationships that we examine. To limit the\n",
@@ -1044476,7 +1044506,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 73,
    "metadata": {},
    "outputs": [
     {
@@ -1044556,7 +1044586,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>521469</th>\n",
+       "      <th>521467</th>\n",
        "      <td>Windsor</td>\n",
        "      <td>95492.00</td>\n",
        "      <td>9960 Herb Road</td>\n",
@@ -1044567,7 +1044597,7 @@
        "      <td>2004-04-04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>521473</th>\n",
+       "      <th>521471</th>\n",
        "      <td>Windsor</td>\n",
        "      <td>95492.00</td>\n",
        "      <td>9964 Troon Court</td>\n",
@@ -1044578,7 +1044608,7 @@
        "      <td>2004-10-31</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>521480</th>\n",
+       "      <th>521478</th>\n",
        "      <td>Windsor</td>\n",
        "      <td>95492.00</td>\n",
        "      <td>9980 Brooks Road</td>\n",
@@ -1044599,23 +1044629,23 @@
        "3       Alameda 94501.00  1001 Shoreline Drive \\#108  485000.00 2.00 39353.00   \n",
        "10      Alameda 94501.00  1001 Shoreline Drive \\#306  390000.00 2.00 39353.00   \n",
        "...         ...      ...                         ...        ...  ...      ...   \n",
-       "521469  Windsor 95492.00              9960 Herb Road  439000.00 3.00  9583.00   \n",
-       "521473  Windsor 95492.00            9964 Troon Court 1200000.00 3.00 20038.00   \n",
-       "521480  Windsor 95492.00            9980 Brooks Road  650000.00 3.00 45738.00   \n",
+       "521467  Windsor 95492.00              9960 Herb Road  439000.00 3.00  9583.00   \n",
+       "521471  Windsor 95492.00            9964 Troon Court 1200000.00 3.00 20038.00   \n",
+       "521478  Windsor 95492.00            9980 Brooks Road  650000.00 3.00 45738.00   \n",
        "\n",
        "         bsqft  timestamp  \n",
        "0      1982.00 2004-08-29  \n",
        "3      1360.00 2004-09-05  \n",
        "10     1360.00 2004-01-25  \n",
        "...        ...        ...  \n",
-       "521469 1626.00 2004-04-04  \n",
-       "521473 4281.00 2004-10-31  \n",
-       "521480 1200.00 2004-10-24  \n",
+       "521467 1626.00 2004-04-04  \n",
+       "521471 4281.00 2004-10-31  \n",
+       "521478 1200.00 2004-10-24  \n",
        "\n",
        "[105996 rows x 8 columns]"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 73,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1044633,7 +1044663,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "For these data, the shape of the distribution of sale price remains the\n",
     "same---price is still highly skewed to the right. We continue to work with\n",
@@ -1044643,7 +1044675,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "## Examining Other Features\n",
     "\n",
@@ -1044654,7 +1044688,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Since the size of the house and the property are likely related to its price, it seems\n",
     "reasonable to guess that these features are also skewed to the right, so\n",
@@ -1044663,7 +1044699,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 74,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1044672,14 +1044708,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "We compare the distribution of building size on the regular and logged scales:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 89,
    "metadata": {},
    "outputs": [
     {
@@ -1257083,12 +1257121,10 @@
           ],
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            {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 1,
-              "tickcolor": "rgb(36,36,36)",
-              "ticks": "outside"
-             }
+            "fillpattern": {
+             "fillmode": "overlay",
+             "size": 10,
+             "solidity": 0.2
             },
             "type": "scatter"
            }
@@ -1257587,7 +1257623,7 @@
           11599.5
          ],
          "title": {
-          "text": "Building size (ft^2)"
+          "text": "Building size (ft²)"
          },
          "type": "linear"
         },
@@ -1257603,7 +1257639,7 @@
           4.100000000000001
          ],
          "title": {
-          "text": "Building size (ft^2, log10)"
+          "text": "Building size (ft², log10)"
          },
          "type": "linear"
         },
@@ -1257634,9 +1257670,9 @@
         }
        }
       },
-      "image/png": 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",
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font-size: 14px; fill: rgb(36, 36, 36); opacity: 1; font-weight: normal; white-space: pre;\">Building size (ft²)</text></g><g class=\"g-x2title\"><text class=\"x2title\" x=\"354.05\" y=\"239.20625\" text-anchor=\"middle\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(36, 36, 36); opacity: 1; font-weight: normal; white-space: pre;\">Building size (ft², log10)</text></g><g class=\"g-ytitle\" transform=\"translate(3.9716796875,0)\"><text class=\"ytitle\" transform=\"rotate(-90,10.028125000000003,101)\" x=\"10.028125000000003\" y=\"101\" text-anchor=\"middle\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(36, 36, 36); opacity: 1; font-weight: normal; white-space: pre;\">percent</text></g><g class=\"g-y2title\"/></g></svg>"
       ]
      },
      "metadata": {},
@@ -1257650,8 +1257686,8 @@
     "fig.add_trace(go.Histogram(x=sfh['log_bsqft'], histnorm='percent', \n",
     "                           nbinsx=60), row=1, col=2)\n",
     "\n",
-    "fig.update_xaxes(title='Building size (ft^2)', row=1, col=1)\n",
-    "fig.update_xaxes(title='Building size (ft^2, log10)', row=1, col=2)\n",
+    "fig.update_xaxes(title='Building size (ft²)', row=1, col=1)\n",
+    "fig.update_xaxes(title='Building size (ft², log10)', row=1, col=2)\n",
     "fig.update_yaxes(title=\"percent\", row=1, col=1)\n",
     "fig.update_yaxes(range=[0, 18])\n",
     "fig.update_layout(width=450, height=250, showlegend=False)\n",
@@ -1257660,10 +1257696,13 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "tags": [],
+    "user_expressions": []
+   },
    "source": [
-    "The distribution is unimodal with a peak at about 1,500 ft^2, and\n",
-    "many houses are over 2,500 ft^2 in size. \n",
+    "The distribution is unimodal with a peak at about 1,500 ft², and\n",
+    "many houses are over 2,500 ft² in size. \n",
     "We have confirmed our intuition: the log-transformed building size is\n",
     "nearly symmetric, although it maintains a slight skew. The same is the case for\n",
     "the distribution of lot size.\n",
@@ -1257673,7 +1257712,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 76,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1257682,14 +1257721,43 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "We compare the scatter plot with and without the log transformation: "
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 105,
+   "metadata": {
+    "tags": [
+     "remove-cell"
+    ]
+   },
+   "outputs": [],
+   "source": [
+    "# Code to generate plot below\n",
+    "f1 = px.scatter(sfh, x='bsqft', y='lsqft')\n",
+    "loglog = sfh.assign(log_bsqft=np.log10(sfh['bsqft']), \n",
+    "                    log_lsqft=np.log10(sfh['lsqft']))\n",
+    "f2 = px.scatter(loglog, x='log_bsqft', y='log_lsqft')\n",
+    "f1.update_traces(marker_size=4)\n",
+    "f2.update_traces(marker_size=4)\n",
+    "fig = left_right(f1, f2)\n",
+    "fig.update_xaxes(title='Building size (ft²)', row=1, col=1)\n",
+    "fig.update_xaxes(title='Building size (ft², log10)', row=1, col=2)\n",
+    "fig.update_yaxes(title='Lot size (ft²)', row=1, col=1)\n",
+    "fig.write_image('figures/scatterPlot_price_bsqft.jpg')"
+   ]
+  },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "tags": [],
+    "user_expressions": []
+   },
    "source": [
     "<img src=\"figures/scatterPlot_price_bsqft.jpg\"\n",
     "     width=\"600\" />"
@@ -1257697,7 +1257765,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "The scatter plot on the left is in the original\n",
     "units, which makes it difficult to discern the relationship because most of the points are crowded into the bottom of the plotting region. \n",
@@ -1257711,7 +1257781,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 77,
    "metadata": {},
    "outputs": [
     {
@@ -1257777,7 +1257847,7 @@
        "3.00    782.00"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 77,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1257790,7 +1257860,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "We found something interesting: about 2.5% of the houses have a lot size of 436\n",
     "ft^2. This is tiny and makes little sense, so we make a note of the anomaly for further investigation.\n",
@@ -1257802,7 +1257874,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Houses in the Bay Area tend to be on the smaller side, so we venture to guess\n",
     "that the distribution will have a peak at three and skew to the right with a\n",
@@ -1257811,7 +1257885,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 78,
    "metadata": {},
    "outputs": [
     {
@@ -1258259,12 +1258333,10 @@
           ],
           "scatter": [
            {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 1,
-              "tickcolor": "rgb(36,36,36)",
-              "ticks": "outside"
-             }
+            "fillpattern": {
+             "fillmode": "overlay",
+             "size": 10,
+             "solidity": 0.2
             },
             "type": "scatter"
            }
@@ -1258785,9 +1258857,9 @@
         }
        }
       },
-      "image/png": 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",
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      "metadata": {},
@@ -1258802,7 +1258874,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "The bar plot confirms that we generally had the right idea. However, we find that there are some houses with over 30 bedrooms! That's a bit hard to believe and points to another possible data quality problem. Since the records include the addresses of the houses, we can double-check theses values on a real estate app. \n",
     "\n",
@@ -1258813,7 +1258887,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 79,
    "metadata": {},
    "outputs": [
     {
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-              "ticks": "outside"
-             }
+            "fillpattern": {
+             "fillmode": "overlay",
+             "size": 10,
+             "solidity": 0.2
             },
             "type": "scatter"
            }
@@ -1259775,9 +1259847,9 @@
         }
        }
       },
-      "image/png": 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",
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      },
      "metadata": {},
@@ -1259795,7 +1259867,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "We can see that even if we lump all of the houses with 8+ bedrooms together, they do not amount to many. The distribution is nearly symmetric with a peak at 3, nearly the same proportion of houses have\n",
     "two or four bedrooms, and nearly the same have one or five. There is asymmetry present\n",
@@ -1259804,7 +1259878,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Now we examine the relationship between the number of bedrooms and sale price.\n",
     "Before we proceed, we save the transformations done thus far:"
@@ -1259812,7 +1259888,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 80,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1259835,14 +1259911,18 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Now we're ready to consider relationships between the number of bedrooms and other variables."
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "## Delving Deeper into Relationships\n",
     "\n",
@@ -1259852,7 +1259932,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 81,
    "metadata": {},
    "outputs": [
     {
@@ -1472263,12 +1472343,10 @@
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NMsMVExODrFmzumUpocstmXzykLOUEaFBgTjyuTU2DruErlcqoeWThX2ivd4qJXQBhC7gnzPX0GJSyqtfbGPVKrN90l9HebpkBUAy0suhAisVQpfJvE3o0s6h+89Go9lE+430Vjse7gw42lUrhlGtH9fOQX5smdBF6JLh9uvOM3jfwalu+TcrQVerbzZh56mUyVEzhAThsIVWAGzhh9Dlx0Dsj6YIXf5Q2XEbfx+5jNdn2J/glF15kaOskwjRGXB0fqYEBjeroJ2D/NgyoQtwdjOBlYBj+qbjGPaH49PkVoIuZ8uLf39UH8VyZfbjl6l9U4Qu7X2gqgWELlXlTFdlF6PvoMaI1XbvWGkfj6vlxUaP5MfUN6qmS1OjPkzoAkoPWGZ3D6nVltYkRYJc9uyoWAm6mn71Nw5duGEnw/ZPGiKvzi98VjsGEbrUVlTj+ghd2jngwLloPD/BfnkxMCAAx0c+r51hfm7ZGXDULp0HP3a1xjF5QheXF+Wzi4qJxZND7TfSW2m2T/o6fuURfL36aIpI9EyZPJj7ljXiQfKOE7r8/IPk6+YIXb5W2Hn9e85cw4sONs2GBAXg6OeErgoFH8LS9x4k99XOU75vmdAFOLuD00rA8duus/jfT7stP9MlAnSfuwMRJ64i7v59lMqTBdPeqIrcWTL4/mPUWQuELp05xFtztIYumU4/G3Ubcr9ag0fyQWZ5rFLiE+4rSyqpC6ErUZGKRXLg93eessRwIHRxpksG+qKdp/HBz3ssD12T1x7DmBWHU+ggvw/T36hmiXjAmS4Tu1lL6Ooxbwf+2nchSd2SebLgp+61kM8ia/b/Xr6JBl+utxtd3EifKImMh7V965n463vQNUIXoUtGQ9j+i+g2N8Ly0PX81xtw4Hy0nQ4RAxsiT1ZrzXZxpstkPwFaQVf48StoN8V+w2ifhmXRp6E1rnqYu+UkBi3ZZ/kA6ww4KhfPgV/f5kxXpEX29zFPF7DqwCV0mbPd8jGByVEfDAFCF6FLFQUW7TyDDxzko2lduQi+fPkJVdrQeyX7zl7HCxM3Wj7AOoOu12uVwNAWTBlhFegqNWC5cn2Zo2KVk3u/7jiD9xf+Y2kNpPOdZ23HmkOXUuiQOTQI+z9rCgvtQFH6T+jS+y95Ou3TaqZr9cGLeGu2/TR6l2dKYWCzR9LZC2M+LkFFgouVf2Sk786g65VqRfBFa2sAOJcXubwo38Lpq7fxzOg1diHBamlk+i3ag5+2n06hQ5l8WbHy/brGDPZeWC3Qder8ZZQsUsCLWvz3qqUuvPZEVq2gS2xtOG49jl26mcJsK11yHP7vFbRjTh6n0FWnTF7Meau6J8PacO8QughdtkFbqv9SJNxPOYTlkme57Nkq5bmvN+Ag93Rh8JJ9mL/tNGLjE5S9bD3rlUbnp0vqehgQutJwj5bQ9d/Nu/hx2ynIxc8SVJ57rCCeLJZD1wNKTeMu3biL6p+vcvBXLRA5khnpi+fOjPUf1ldTct3WRegidMngPH/9DmqNtE+YnCkkCActdAUOM9IDC7afxseL7E+yhv2vDsrmf0i3sYzQpWPo0u2o8ZNhf/5zHu/M38nlxY+XOtSgSM7M2NiP0GWVPV3cSA/sOBGF1t9ttvserJYwWa5Hk2vSkhergWf/X/di/rZTdmNh/CuV8NKThf30K5X+ZghdhK70jxo/vTF1w3F8vpT3rDmb5alfLh9mvmmNvDyc6eJMl4SdU1djUGf0WstD11uztmN1qo30ubOGYsdA6yyxyul+OeWfugx4/hF0q1PKT79S6W+G0EXoSv+o8dMbAxfvw7zwk5zpcjbTlSsTNn70rJ+8oW0zhC5Cl4zA/eei0czR1WCBATg+wjq3VNQbsw4nrtyy+yg39XsWhXNm0vZj9VPr7aeGY8u/9tA1sNmj6PKMfvd1EboIXX76RNLfzPClBzBtQyShywl0Zc8Ugn8+bZx+YQ34BqGL0CXD9tjlm2joIGGy1ZYX649dh8j/7KFr88fPolAOa0DXJ7/txQ9b7ZcXv2pXCS0rcXnRgGE+0WQtN9IbVjSVDA87cAHd5uwgdDmBrnIFH8IK3r0I7ukCrJKn68SVGNQbY7+8GBQYgH8tNNP1yW/78MPWlKsA5Qo8hBV9rHEXq/woOLuHc92H9VAidxaVfoXUr8ZyM11XrlzB0qVLIXldnnvuOeTJk8elqoQu9QeduzVO33Qcw/7gni5nszwVC+fE7+/WdldOQz/HmS7OdMkAPnUlBnUcQJfV8nTdjUtQTu6tOngJ9+LiUbl4TvRrWh6VilrndLuMhy/DjmBhxGlcjbmngJbs5WpTpYiuY52loOv+/fuYNGkSGjRogJMnT2L58uWYMGGCbqHr+OVbyp6mk0rKiBC8ULEQ6pXLq+sBpaZx/Rb9g5+2n+FMl5OZrkcKPoTlnOniTBesM9O1/shlvDFjm+Vjgppx1uh1MSO9QTwojmrdujUWL16sS+iSv2RkGl3y0iQvP3atidqlcxtEZe/M/GHbaXzyq30eFqnVKssp0ldnszy5Modip0USQnKmizNd8i1sOHYFr02zv5PWajHBu8hqrrcJXQbx58yZM5Ulxk6dOiVZ3LNnTzvrV65cia1bt/q9V2uPXsUHvx22a7d9lYL4sEEJv9ujRYND/zqOxXsuOmx650e1tDBJkzYrj97isN1sGYOxrrc1UkY400C+4R0f1tTEL/5utMqYcMhsvaNile/h510XMGql48M1VtHA3+NO7+3JNyHgFRwcrKmpuXLlcqt9Sy0v2hSRZcV169Zh1KhRCnjZytGjR+1Ee/7553HgwAG3xFTzobnhpzB06SG7KmuUzIV5nauq2ZRu6xq29CDmhKe8XyzJV8OscWpP+ltmUJhDH+XNGoLNFkmO6kwD+X6PDLVGbqKyg1c6ha6jFvke5oSfwjAHcVE+EKtooNuArZFhcgl8dHQ0cuTQdj9bSEiIWwpYDrr++usvhIWFYfTo0W6RsVYb6SesPopxK4/YOVGuN5BrDqxQFu8+iz4LdjvsKpcXgSwZQ7B/iDXgk8uLXF6UQLD9RBTaOshIL/9mpZhghfjvbh+5vOiuUho8d+3aNVSrVg2VKlVKAq6RI0eiRAnny3VaQdd7C3Zjye6zdirJpZ4RAxtqoJ7/m1y29zx6/sBrgJwBR8bQYBwa2sT/jtGgRUIXoUuG3YJtp/Dxr3st/4eYBp+gbpskdOnWNZ4ZphV09ZgXgb/22e9nypUlFDsHWWM5ZfGus+jzE2e6nAFHtkwh2MPkqDy9aKFZnt93n0PvBbsIXZ79nJnyLUKXydyqFXSNX3kEX6+232NWsUh2/P7O0yZT2XF3+i/ai/nb7TMOW20pwRl0ZQgOwuHhTS0xFjjTxZkuGejRt2NR8TPHexy5vGiJUGDXSUKXyfyuFXTFxiegwqcrcC8uIYWio9s8gZer6jv5m1pD4K2ZEVh92PHpRSsFWGfAERIUhKOfE7qYkd46+5l2nIxC628324UYq10DpFaMNUM9hC4zeDFZH7SCLjFB7tYavGQfTl6JQfbMoehUqzha6zzbrpruH7h4L+aFc6bLGXSFBgfjyHDu6SJ0WQe6jly8gcbj/7YLM3IGPXJUMzXDD+vSkQLhx+0vtraZJ6cXb9y4gezZs7u0uGYpfeS3tNzpxfSOIy2hS5YXJ645irj4xNw8jR7Nj6mvWyNdhPR3/Kqj+HqV/QlOLi8mjuKQ4CAc5fIi93RZaE/X1uNX8MoU++SokvknciShK72/b0Z5/qtVR/DVKvvtNu7av6BbTRC63FVL4+e0gq5DF26g6Vf2f9H1rFcaHzUtr7Eq/mn+g4X/YNEOXgPkdHkxJBhHh3GmizNd5p3pkh/b5OX6nVjM3HjCLgAFBwXgnfoP2/33Pg3L+idY+bCV1BqktymzaBB+/KrDrkty1K2RV11CVZ+GZQhd6R04Wj2vFXR99scBzNxkn3m5aM7M2GCRhJgdp23FxmP/OXQ993QBwUFBOMY9XZzpMvFMl7M/ONz5PZCZDZnhMHppNyUcrpbX0uqf2WPl+JWH8fXqYxCwMgJgcnkxjRGrFXTJpa5yuWvqkjVjMPYNscbsxvs//YNfd3Gmy9kPD6ELyo0SnOmyzkyXxMOE+/exbM8FHLt8UwmPlYrmQL1yeR1GciP8CKcFTa5mumT2R4BMgMNZMYMGrjQidKU1ggz271pBV/NJG7H3zHWH0+jHPn/eYCp6Zq7k6JJcXY6K2f96S95nZ9AVFBSEfznTRegy8UyXq8hh+y6sFAtS62GbBdPTniXPor3nbxG6PNdOl29qBl0TN2LvWXvoCgkKxNHPn9OlVmob9dK3m7HrZBSh6+OlDjUgdHGmyzYwrAgehC6A0AUQutT+5dW4Pq2gq9vcCITtt89RlTNLKHZZJCN9g/Hr8e/FxCWE1MVKPzKc6QKslhxVloxSn9aSzcKyadhRSX0yq2apXIbY3+JNeCd0Ebpk/BC6vPmKdPiuVtB14Hw0nv96g50irSoXxriXK+lQKfVNavjl+qR9G4Que30502XemS6BLpnF8LQYZVOxp/2T9whdhC5ClzdfkE7f1Qq6RI63Zm3HmsOXlb9uJflf4ZyZsLHfszpVSn2zXpy0CXvOXONMF5cXLTnTlXrghx24gBkO0iVkyhCEmW9Us/tO9JKXSP3IkFgjoYvQRejy1delYb1aQZdko68/dp1dz8e0qYi2VYtqqIj/muZMV8ofl9TKc6bLvDNdzr6yOqPX4tTVmKR/DgkOxNHh1tjjmVoTQhehi9Dlv99jv7WkFXQt2X0O7y3YZdfPdtWLYVSrx/3Wfy0bajpuAw5diuZMF2e6LDfT5eq7sy09Vi+VGz+bIA+VpzGG0EXoInR5+vXo+D1Cl3bOaT5xE/ae5fIiN9JbbyO9O9BlluSfnkYYQhehi9Dl6dej4/e0gq554ScxcPE+O2XyZcuAbQMa6lgx9Ux7bsIGHDzHmS5CF6Er+Vdlm+kidCWmUrHSSebU0ZUpI3h6Ub1fXJ3UpBV01R2zFievPNi7YZMjMCAAx0daIzlq1c9X4b8bd7m8yOVFLi8m+woIXYlicKaLM12c6dIJKKlphlbQ9cTQMFyPibXripxijBzVTM0u6raux4aswM07cYQuQhehi9BlFwcIXYQuQpduf749N0wr6KozZi1OWXymq8G4dfj30i1CF6GL0EXoInQ5iIRcXuTyoud0o9M3tYKuUcsP4rv1x+1UyZ8tA7ZaZE9X5WGrcPUWlxe5p4t7uriny/4HgjNdnOniTJdOwckbs7SCrjbfbUbECft7B0ODAnHEIncvck9Xyr0rqccx83RZL0+XjAHu6eKeLlss4EwXZ7q84RtdvqsVdDX4cj3+vWx/72BwUACOfW6NjfQVBofh1j37fW0yUKx0YokzXZzp4kwXZ7oc/UASughdugQnb4zSCrqafPU3Dl+4YWd6cGAAjo2wBnQ9MWQ1rt+5wz1d3NPFPV3c08U9XdzT5fC3gBdee0M4OnxXK+gatGQf5m45aafIQxlDsHdIYx0qpb5JjwwKw+1YznRxposzXZzp4kwXZ7oc/8YQutT/7dW0Rq2ga8jv+zFr8wm7vufMHIpdgxtpqom/Gn9k0ArcjmXKCKtB11erjiD8+NUUw0z2MTkqAQEBqFEyV4p/6tOwDMx82TP3dCW6mxvpuZFexgGhy1+/yH5qRyvo6jBtKzYf+8+ulxlDgnBoWFM/9V7bZsoOXIF7cYQuK0LXV6uOejz4FnSrSejyWD3jvEjoInQRuozzvbptqVbQ1e77cIRH2v91nzVDMPZ91sRt+438YOlP/kJ8fLzDLnAjPWDW04uOZrXaT92K+/fv242FwMBA/Nilut1/50yXkb9892wndBG6CF3ufSuGekor6Oo9fxd+/+ecnVY5Modg92Br7Omq8OkK3LrLmS6rzXQ5CxCOdLASfNt04fIilxdtY4GnF7m8aCigcsdYraBr4Y4z+HDhP3YmPl4kO/5452m98RHwAAAgAElEQVR3TDf8M1xeTPnjktqhZp3pcjVwyw9cgTtxcSiUMyM292tg+DHuSQcIXYQuM0GX7OH0psgM+Nerj0H2cnpTZHbcHzPkAfcdzdl7Y7nJ3tUKuoYvPYBpGyLt1CyeKzPWf1TfZCo77s5jg8Nwk3m6nKZLsCJ0GW3TrC8+VEKXeaDLW+CQAycyHrwFjj4Ny/piqLpVp2jgzR5Otxpx4yF/7QUldKXhDK2gq8vsCKw6eNHOuiyhwdg/1Bp7uioMXoFb97i8yOXFB58BoYsZ6W2jwQx7umzLg24wgU8f0XKZ3gZdns4yybxRXFwsQkJCPdLoTFQMzkTdBqErDfn+/PNP/O9//8NPP/2EypUrK0+fPXsW9erVQ/PmzTFu3LgUNaxduxbdunXDgAED8Oabb7rtHK2gq9U3m7Dz1DU7OzMEB+Lw8Ofctt/ID3Ijfcq/6FP7kjNd2v11ruV3xZku88x02aDLU+DwdhzaDq3oBbpqlkqZ/sWd/iUk3MedO7eROXNmdx63e+aXHWcIXWkpN2zYMGzbtg2XL1/G5MmTUaVKlRTQJf9HREQEsmfPnlTVO++8gxUrVqB///7o3LlzWk0k/btW0NXm282IOGl/96KVoKvcp2G4e5fJUTnTxZmu5AGL0GU+6GpTpQiK5Mzk9u+SWg/alvUIXZzpcjmmZNaqZs2aaN++PQYNGpQCutq1a4dy5cqhadOmaNOmjVLP1atX8eyzzyr/e+yxxwwBXS99sxm7TtlDV3BgII6NsMZMV/nBK3CHy4vc05UsGnB50TzLi97uZ7IBg5H3M9lmughdR5VN7JzpUgunfVSPLCMOGTIkBXS1bt0aAwcOxLx587BgwQKl5R9++AGHDh3CvXv3FCAzwkzXs2PX4fh/t+yUCwwMwHGL3L1YbuBfuBvHPF2c6eJMlxlnupyNax/9XDisVn7oZS+PVoXQBSTf00XoAhAVFYWTJ08iMjISd+7cQfHixZX/FShQQEnOqGVxBl0yE1axYkWsWrVKsbVly5YKiC1cuNAw0PXixI3Yc/a6nbxWuvC64tCViI6553CIaTkd7u8xT+gidJkZujzdzxQvt1UEBCIoKNCjT1KWaQldiTc/aBlPCV3/P3w3btyIL774QpkhspUsWbLg1q3E2Rf5//ft2xeynBccHOzRoPf2JWfQFR4erkCWgGGjRo3QpUsXrF+/XtnP5Wqm69w5+2SkdevWTaGBtza7+/4bs7Zj41H7jPShQYE4ONQayVHLDl7pNCP9v59b4yokGS9yoMBRkT96jgy1xj2ctv7LktLEtf/ivQYPo/ezD7v7OZnqua2RV9Fh2jblzklH2fiN0lnbuPbUj7JyITcSePL7c/babSzaeVZzDcWP4s/WlQujcA7/7+masOaYMly0jKdig+TZkvGc+h5Vd8by/fsJuHv3LjJm9Ey/X3eexZlrt5VvyZP2bTa6OwlllzJCBnKPHj2wYcMGdOrUSYEWmS3Kly8f5HLZ69ev48SJE9i+fTsmTZqk/Pdp06ahWLFi7uij6jOuoEvse//999GsWTNky5YNPXv2RL9+/VxC1xtvvGFn3+bNm7FlyxZV7Xansue/24lLN+03kQcEANs/qOFOFYZ/psb4CKfQFdHXGhqIE6uO3eoUurb+r6rh/ZyeDkzZfAZTNp9Ft9qF0a12kfS8qptnd5yO9tqW7j8dRJWi2RQdvClSh1bFNq497UNiiskASExMbzkffRd/7PtP0fD7Vx5J7+uqPS9+lPHQ/LE8KJgtg2r1uluRfEtStIyntm+6StGHFH94UuQEo2y98aT8ue8/nIu+q4wDT9uXdvPkyeNW83bQFRMTg9GjR6N79+4oWLCgy0rkWdkvVaNGDWU5z9/FFXQlJCRAZqkuXLiANWvWoGjRomlClyP7tTq9WG7gctyNS3AoqZZTwf70sRVTRnibt8fsY8MMG+ltpw/9+S05aks2oGuZFNO2bO7pRniZ3QgMDEJISPpXWiQvk6QK4PIilxeZMiIdkUj2ag0ePDhFni7ZSC/Li1ImTpwImamaP3++8n/L8mLZsmUNkaer7MC/cM/im8gJXen4GP7/UUJX+jXz9xs26NIiRYCtrwIdhC5CF1NGQIFvXSRHlb8iZsyYoWxG37Nnj7KH65FHHsFzzz2HV199VfNN9J4GSlkeXbZsmbI3TQAtZ86cLqvSaqar5sjVuHD9jp1tssQbOfJ5T7tvqPesCF2OHFSy/zI4uq3L7IDlSAszzXQJdEmqAH+X5FfHcKaLpxdl/GkZS7iRHsDt27fRqlUrHDt2TAGshx9+GHFxcTh48CB+/fVXJUWDpGTwZAOjvwNM6vZ69eqFFi1aIDQ0VOmD7EdzVbSCLmfLTCFBATj6OaFLyyChxRhODV6fPPcoutYtqYUpmrZJ6PJefkIXlJkNLi9KugYuL+pipmvChAnKLNfSpUtRuHDKjZpymlH2Un3yySfKRnsjldjYWLRt2xaLFy9WzBYAGz58uMvZLq2gq8bnq3HxhoOZLgCRo5oZSXaPbX34k78QF888XTYBbSDurzvCPHacD18kdHkvLqGL0GUbRYQunSwvNm7cGG+99RZeeeUVh1+4zA4tWbIEf/zxh/cRwM81vP7668odjBkyZEDXrl2xaNEilC5dWrFCTjimLitXrsTWrY5Pj/nS9BpfbkVsvOON9Ds/quXLpnVTd7Uvtzk9vWgVDZI7o9v8/Yg4HY2p7St4dcpGNw72wJDvN53G95vOoPtTRdH9Kf8vzXlgst0rclqt6/z9KJQ9A5o/lleNKtNVR8SpaOXEnNYaVh6deCrcUz/KiTU5uShbLtJbzl2X04uXUbVoNkxpXyG9r6v2vO2blnEg48HfRb4lKVrGU7FBvms5OVi1WPpPL8ohVkkbIelDPCkyDmQ8eBtXc+Vy795Iu9OLsowoe7cEqMqXL++wD7LHS/ZDHT582OOOeiKOGu/IfY2ypytjxoxKygu5ONt2R+PRo4lTrcnL888/jwMHDqjRdLrqKP/pSsQnyJFo+3J0mDXydJUfstopdFlFg+Te7zhjO7ZGRmFe52qoUdL1XsR0DTYDPSw5fSauPY7ez5bGu/UT/1gyWhEfii8lL1OrJwv53fxtkVex9USU5hqWGRSm9N1TP8bGJubpCgpK/+lFydP1665zynck35NWxfZNyzjQIk+X5LyTomU8FRsmrPkXNUrkRPWS7oFLcn/JftfEPF0ZPXKjjAMZD97G1ZCQELfat4Mu2WhetWpV5QRg7ty5HVYi4FK7dm27S6XdalEnDwk4jhgxIumqIGdmabW8WH7QX7gTa+2lNW6kTzkqubwIcHnR+wDK5UUuL9pGEZcXdbC8aIMuyb9lmwFK/ZlHR0ejQ4cOhoSun376CcuXL8eNGzfw5ZdfokSJEi6jmFbQ5ezEmhhrlU3khC5CV+qPk9BF6LIpwDxd3o8FQpeOoMsdd0ZERDgFM3fe1+IZuepHoEuWUZs2bapk23dVCF3+85LkL0peXp2+3enyoqNLaj29w81/PfSuJc50cabLuxGU+DZnujjTxZmuB1+S5qcXZX304sWLbn3b+fPn92gTo1uV++ihzp07QzbTS36ukSNH6nZ5sVT/ZUhQrrmwL2ad6XJ2sbM7Q0HrzNLu2OjtM4QuQpe3Y4jQlaggU0Yk6sCZLh3MdLn6qOVqHdnPlTdvXsNtoLf1S04s9u7dGwKMcorRlj7CWb8506VGmHevDoGK5GX3uZu4c+euw5cdzWo5mv1yr2VjPEXoInSpMVI500Xo4kyXjma6xBS5GFouiq5Tp06SZZIiYuzYscpdhrLBftasWU5PN6oRGHxVR2RkJCQlhpRffvkFTzzxRFJTAwYMsGt24cKF2LZtm6/McVqvHKd2lIVcXtjVr7bf7dGqwSe/2GzXtBwR1/KIs1ZadJ2/D3LcX442Vy2WXSszNG1XjpZ/t/E0ejwtKSOKamqLp41HnLqeLGVEPk+r8fi9xJQR1zXX0PZte+pHSROQeOG1pykjLikpCqa2f8xjLb190fZNN38sn0YpI04rXdDyN8X2TVcpmt2jlBFif0JCvHIPpyflj32XklJGeBNX07rdxmab3elFmc2qXLmykk7h6aefVp47c+YM6tevj9deew0NGzbElClTlOW58ePHe9JHTd+RpcX33nsP9+7dU04vSp4uyU4vZfv27Xa2yYGB/fv3+93mcp+ucgpdR4Y28rs9WjV46EI0Wny7LUkLCbCHP2uolTmatvvajAjlqP+8zlVRvYQxU0ZIugdJWeBpuY/72HbimnK83Jvy7rOlNdNw2wlJGRGBwjkyapQyIkoZR5Kq4d36pbyR0at3yw5eqbzvqQ337sUqKy7Bwen/sT177U5iyogSOTG3c1Wv+uHNy7ZvOjFlhGcpD7xpX75HKVr+pogNkjYiMWVE+r9rydcmv+cZM3qW5ywxZcQdr+OqjSPS8ocddJ06dQoNGjRQEoLakn2NHj0af/31FyRRaFBQkJK3SmBkx44dhrqDURwj+cVsSV27dOmCgQMHujzBqNXyYukBy5zm6TLrni5Xg9W238uKfbfpYoblRds9a2kFJl//u5ZZ/ZNfeM27FwFPD8DEx8UBAZKny7OkmOIHrfeC2r5pGQdaXIDOPV062NNlSxkhF13Lyb6bN28qM14ff/wx2rVrp8TC+Ph4ZWlRkowKlBipzJw5E5s3b1Yy0hcrVgwfffSRS/O1gi6mjEjpFkIXYCbokh87T35kZMn93r27yJDBs1kB+aGVTdSErivo07AM9HDhtZa/H4Qu3r2o+elF+QBkCS5LlizKcqLk6zp+/LgyO2S74DoqKgrVq1fH2rVrUaSI8a7iEGiU4O3Ohd2ELi1D4oO2CV3mg66apdKffVqWEu7cuY3MmTN7NDD9HWAdGcmZrkRVbN80Z7qugDNdR5VZRyvEBLvlRfkYZOO4nOy7desWKlWqhEGDBqFixYpJ8WP16tXo0aOHsszobup7jyKkyi9JUtc5c+akqLVNmzYoUKCA05YIXSo7wcPqCF2ELhk6ZoMuDz8Hr1+T2T69zHSJHZ4UMyVH9aT/ar6j5bYN25YDS0OXbQlRlhYdZaWXBKMy21WhgnYXhXoy4GRPV/J7FN9//338/PPPyJMnD6HLE0H9+A6hi9BlNujy4+fjsClC1xnd7OnSeiwQuvy35cDhTJfWA8Af7Us2fcnRNXz4cJfNcabLH95Iuw1CF6HLbNAle9o8XVpL+4tx/oTMcskSJ6FLP9DF5cXE5UUr7PO0gy5ZUrRtmE/92crJxYcffhitWrVSLrw2cunevTv69u2b4iDAp59+atelH3/80WEqCV/3XXLYOMvTtfvjp3zdvO7qrzRqk2KTFftuc0aXHyVP13VM6/CYYfN0fbfxlJJnS/LhSI6k9Ba5pEFy8kgs8qT8vjcxJ4+WGooPxZeFsmfAi49rk6dLbJBcZz2eLuaJjKq8Y/umxQ5PiqQ3kjxdgYGe5emSsSDjUMaCVsX2Tcs4kPHg7yLfotZx1RYT/N331O15GxNy5MjhVhfsoEuW4FLve7LVJMuNcmJREoxKGomXXnrJrUb09tCRI0cwZswYTJ06NYVpcqoxdXnjjTewb98+v3eh/JDVTqHLinmqJG+ZFCv23Tb4Xpu5A5Ljae6bVTTLMeXthzBpneTkOa7Y70muscTTi/eU08eelN92J+bk0VJD8aH4UvIyvVSpkCfd8OodaV/+J/mx3qmnXZ4u2zftqQ2xsYl5ujwBcBkDMhZkDMpY0KrYvmkZB1rk6ZLvUeu4aosJD/ovEJ38CrzU/7e9t2SvpyfwbatJjZjgbkzyaHnxyy+/xNy5cw2Xp8smsGTcb9myJWrVqpXmt8blxTQl8ssDXF7k8qIMNLNtpGeeLijLnJ4UM22k5/KixU8vpvUBSAqJJk2aYN26dShcuHBaj+vq3+UaIzl5+dtvv7l1fYQ/oEv2V9iS1NnE2hp51elMV+p9IHLMVst8O/5wMKGL0EXoUudL492LvHvRNpKYHFUHyVHd+azPnj2LevXqISwsDCVLlnTnFcM+4y/oSn3Zc3oE03pDbHps9fRZQhehi9Dl6deT8j1CF6GL0PXgm/B37j6Plhclq7vcW2i0PF2ehCx/QVdq21YevIjpGyLtTM4cEoQZb1az++9anILyRE9P3yF0EboIXZ5+PYSu1MrJCU75sWVGemak1xy6JFv7mjVrHH7dcrJxxYoVkCuCevfujXfffVedKODnWiRdxMaNG5E3b168+uqrLlv3B3Q5M6Du6LU4eTUm6Z9DgwNxZPhzflZLH82ZAbq8mc20ecF2X5w3XpErcLQqVkuE6EhnZqRPVMX2TXNPFzPSyzKnpxMHcrgmLi4WISGhHoW1M1Exfr0azG6mS7K2V6ni/DSHJESVLO7t27f36NSIR6qo+JIsiUoaCEkZUbp0aeTL5/rItpbQJd22BWit/yJT0QUeVWUW6BJ/al2YCNF/iRAJXc5HO6Hrwew1N9InzrhpWfx1H6tHy4taCuNt261bt8YXX3yhXHYdGpo2GRO6vFVcnffNBF1anFgTL8g0uhRCF6GLyVG5vCixQC8b6b35lZCZrq9XH/P4FKyt7cRriHJ7Y4pb79pBV1xcHE6dOoVSpdzL3yLXAUmSuty5fW+sWz1K4yG5S7JLly6QXF358+fHJ598kvSGZKhPXT788EP8888/ajTtUR3bT17DG7N3oXqJHJj1+pMe1WGGlx4dulbpxoHB9Q3bnU5zdmHbiWto+UQBTXLyTF5/QnMNxYbJ6+33KvrbqbPfeBLViruXzFBt22zftOQlkrHg7yJjUGzoVbcketUt4e/mk9qzfdOe2iC/VQEBkqcrMN19kLxMi/+5oHlcZUxIt+vsXpA8X9/8fVLz8Zw5c2a3OmMHXTdu3EDlypWVPFa9evVCiRKOP8rr169j9uzZmDhxopKzq2ZN7faJuNVTJcdPApo2bYrly5crS6PSvwEDBiSlvZg8ebJdVV999RV27tzpbhOqP7f95HV0nvcPqhXPjhkdn1C9fqNU+Pjnfyum7v2kjlFMtrNT/Cj+bFExPwplz+j3fny74aTmGooNEiC1LvItyTelRbF90zIGtLDh3LU72H7qOnrWKY63nymuhQRKm7Zvuloxz/yQINcTSEb69CekV9oXDbSOq4wJ3g8/iScSV7Qezw899JBbnXG4vHjo0CEl4/yGDRtQvnx55aoc2f+UMWNGJRv9sWPHlMSoRYsWxaBBg1C/vnFmHyQxav/+/SEp+zt37ozx48c7vNTbph6XF90aRz5/yGzLi57cMeatyHpZSrBtmpX8cuktZkqOmt6+q/281qlmbN+02v1KT31a75WVwzVW3+eZHn85enb8ysNJy4tGyFfpck9XeHi4cu+gQJYsx8k1QOXKlVPuX3zkkUfw/PPPIyQkxFvN/Pr+/v37ISkvrl69iurVqyuJUl0VQpdf3eO0MUKX934gdPk/EaIjrzlKhpxe76pxilXrpMpyktWbYhvPnp5+tLWt5Q81ocubEZD4rqmgy3s59FuD7AcIDg5O00BCV5oS+eUBQpf3MhO69AFd3nqSJ5oTFTRDTPB2LNigzV8n77y11xfvE7p8oaqGdRK6NBQ/WdNmCLC2AMnj4da5Z80XXw+hi9BlG1eELs50+SLGaFonoUtT+ZMaJ3R57wfOdHGmy/tRpJ8azBATvFWT0EXo8nYM6e59Qpc+XGKGAMuZLskLdETJDZSYE8eaG+m9/aI408WZLs50PfiKTLm8eOXKFZw8eVK5NkdOLBq5rF+/Hnv37k3cE1CiBF544QWX3SF06cPbhC7v/cCZLs50eT+K9FODGWKCt2pypsuEM11ysbWc9pMidy3KnYtylc7YsWOV/9doRVJGNGrUCHny5EG2bNnSTAJL6FLHw97eO2g7Vu1txmAt7x3kTBdnutT4mjjTxZkuznSZdKZr9+7d6NSpEwYOHKjk5SpYsKACXSdOnFDA5e+//1b+m5FK165dMWHCBGTKlMktswldbsmU5kPMycN71mSQcHkxzU8lzQcIXYQuQpdJoUtmhbJmzaokQP36668REBCgQNedO3fw+OOP488//1TydhmpDBkyBBcvXsS1a9fQqlUrtG3bNsn8BQsW2HVF+i7wqVWR6zo6zdmtXFky6/VKWpnhdbsVhq1T6mhZ0bNrT+IT4pXxFxiQ/is/pN3Fey5orqH4Ufypddk/qJ5mJnzzt1wDdELxhWfX8NxHbGycx/kBl/xzAWev31G+Jc/a10y6pIbNEhO8VdIWU7Qcz972wdv3bTHFyOPZWw3kWrHEa4BKoGcd7a61ypIli1tdcZkcVZYWL1y4oMwMJYeulStXomfPnoiIiHCZzd0tCzR6KD4+XtnPtXDhQgUspUyfPt3OmlGjRmHXrl0aWQnlR/rNuXINUA7MfM241wA9Nny9oqFc1eBJiYuLR2BgAAID0w9dcu3J4j0XNddQ/KgH6No3sK4nLlDlHYEuCZBy/UphD65Ckotf4uPjEByUdo49RwbLFTwCXfItGRm6zBATvB1Qtpii5Xj2tg/evm+LKUYez95qIH/E2a4B0hK6bByRVn9cQpcsKbZr1065Luf8+fPIkCEDypYtizlz5qBixYpwdFdhWg1q/e9y/6L8cAt0yf2SMrvlilC5vKiOx2zLi55mj7579y4CA4MQEpL+H9szUbfxy44zyok57ukCToxqpo5TPajFtrzowauqvmLkZJJcXkwcCtxI/2DLgpHHs7cftulOL65YsQLDhw9XZrxspUWLFso+L7m/0Gjl9ddfV+yOiYlB8+bNIX1xVQhd6niY0MU9XTKSBLrCj1/1eFDdv38fWyOvKgDtTRH497YOb9r35l1CF6HLNn54etGEpxfFuRLo/vvvP0RHR6NQoUJub0L3JrD48t0bN27A3RvBCV3qeILQRehSYyQZ7a9aNfqcug5CF6GL0PXgqzBaTHC5vLhkyRKcO3cOb7/9dorv/sCBA5g2bRrGjRvni5iiqzoJXeq4g9BF6FJjJBktwKrRZ0KXYxW5vMjlRRkZRosJLqGrf//+yJUrFz788MMUo/7y5cuoXbs2tm/fbsglxvQEQkJXetRy/iyhi9ClxkgyWoBVo8+ELkKXs3HE5UWTQZekjAgJCVH2dCUvNuiS/V6lSpXyRVzRTZ2ELnVcQegidKkxkghdAJcXubzI5UWTLi/KKcVhw4ZhzZo1Sdf/yKk/WVbctGkTFi9erEYc1XUdhC513EPoInSpMZIIXYQu2zji8iKXF023vHj79m28/PLLOHToEEqWLKn8b+vWrbh16xa++eYbJSu92QuhSx0PE7oIXWqMJEIXoYvQ9eBL4vKiyZYXxbWxsbH4/fffsX//fkRFRaFIkSJo2rQpKlSooEYM1X0dhC51XEToInSpMZIIXYQuQhehK3ksMVpMcLmRXo0gqdc6tmzZgnv37qFuXdfZuQld6niQ0EXoUmMkGS3AqtHn1HVwTxf3dHFPl4n2dEnmb8lEX61aNVy6dEm5p9BZeeKJJxAUFOSLuOLTOqVfHTt2ROPGjdG3b1+XbXkLXRIgvS0yhSyJHD3N5m5rX8tkkIQuQpe334G8T+jiTBdnujjTZaqZrvDwcLz22mv45ZdfEBYWhilTpjiNlUa8e1GuAerVqxeaNGmCY8eOpYAu2cOWush1R0eOHPH490Kgq/3UrR6/r9aLAmzvNSijVnXprqdk/2XKO57acO+eXAMUiODgkHS3LdcALdop1wDlwvyuNdP9vlovtJ8armRjr1HSu2zqntqzNTLxD4DIkc97WoXm7wl0TVjzr/IHiKdjSfNOeGmALaZoPZ697IbXr9tiipHHs7ci2GLK/K41DHvDgrca6CUmBAQEuNUVh8uL169fVy6yjouLU/Z0OSuZMmVyqxE9PTR37lyEhoaifPnykIu7k890vfjii3amHjx4UDmp6WnZeeYGevx8CAWzhXpaRbL3xKly5a+tpP6/HTdxPvoeutYqjK61Cqlgg2dVVB+3XXlRHR3Sb4NoUKXIQ/j25fLpf1mlN97++RB2nLmhUm2eV7Pt/Wqev6zxm1O3nMPULWc1H89aymCLKVqPZy01kLZtMcXI49lbDW0x5buXy6NykYe8rc6Q7+slJuTLl88t/Vzu6ZJ0EXJiUZbizFAiIyPRu3dvJQ3G0aNHsW3bNgW68ufP77R7aiwvyvJgkZyZ0KZKEb/LKDMr8pexzAz0aVjW7+3bGrQtL2pmAKD5hddy76A3JbkvvalHy3Hgjd3yLpcXubyYOqZoeYG7t+PZ2/d5etF4McEldI0cORLnz5/HhAkTvB0bunhfQEuWTKVIv2R58YMPPlD2rzkrhC51XGeDLk/BU2ZcAwJkedGzPYS/7JDlxdxY0E275UVvlWSANV6A9dbnjt7nRvpEVZini3m6jPiHmEvokvxc7dq1w9ixY1G/fn1Dbpp3FvT27NmjAJg/NtJzputBgPT0MIAc8AgMDEJISHC6f8dkTxehK92y6fIFznRxposzXQ8+Tf4hZrw/xFxCl2Sinzx5MgRQsmTJgsqVK6cIxJMmTULmzJl1GZzVMoozXeooydOL3uvIAGu8AOu91+1r4EwXZ7pso4IxwXgxwSV0/f3339i1a5fTuNG9e3dkzJjRF3FFN3USutRxBaHLex0ZYI0XYL33OqHLmYZcXuTyoumWF30RMIxWJ6FLHY8RurzXkdBF6JJRxJkuznRxputBPDXalgO3MtLL3i7ZdB4TE6Oc9JON52ZfVrS5lNDlPSxIDYQu73UkdBG6CF0PviPOdHGmy5QzXf/73//w559/pvjFkP1dcuF17dq1vf8l0XkNhC51HETo8l5HQhehi9BF6EoeSRgTjBcTXM50SfLQnj17KikjatWqhYceegiHDx/GxIkTIXcXynVBRrwGKD0/f2OV/3cAACAASURBVISu9Kjl/FlCl/c6MsAaL8B673Xu6eKeLuejiDHBeDHBJXS99957ykb5L774IoXXz549i3r16mHVqlUoXry4L+KKbuokdKnjCkKX9zoywBovwHrvdUIXoYvQ5eo7MtWerjFjxihJRMeNG5eiz//++y+aNm0KI969mN4gSOhKr2KOnyd0ea8joYvQxeVFLi9yeTFlLDUVdMm1OS+99BIGDx6sbJ6Xu4XOnTunJEvNmjWr3QyY9z8r+quB0KWOTwhd3utI6CJ0EboIXYQuE0PXzJkzMWLECLd+LYYOHYr27du79ayRHiJ0qeMtQpf3OhK6CF2ELkIXocvE0HXixAllZsudIhdjFyxY0J1HNX1m+/bt2LBhA3LlyqUskRYoUMClPYQuddxF6PJeR0IXoYvQZT3okrxszspXq44qedtc3Skrd86auZhqedFsjoqPj8f06dOVQwByGGD27NmYNWsWocsPjrZBV5GcmTxqLSEhAQEBAcr/PCly/yIvvPZEOX29Y7QA6wv1mBw1UVWr5Omy/bHl6Vg6MaqZp68a4j2jxQS3kqMaQvl0GinQ1atXLyxevJjQlU7tPHncFiA9eVetdwhdaimpXT1GC7C+UIrQZT3o8mYcuZoF86ZevbxrtJhgOei6dOkS+vbtq1ziLfnH6tSpkzR23n//fbtx9Mcff2Dr1q0ej68dp6PRdf5+FMqeAVWKZvO4Hk9fPHf9LsSG7k8VRfeninhajdfviQ3eFNFQytT2FbypRhMfeGVwspe7zd+PiNPRigZajCW1+uFNPd9vOoPvN53WfDx70wdv37XFlKpFs2GKl9+Dt7Zo+X7l0VuU5nd+VEtLM9i2xgroJSbIliV3iuWgS0SJjY3FwYMHlZmuNWvWICQkRNFq7969dpq1atUKBw4ccEdLh89sjYxCxxnbPX5frRd7P1sa79YvrVZ1fq+nzKAwpc2jwxr7vW29NCjjSMbTvM7VUKNkTr2Y5Vc7vl59FJPWRcLo49kb0WwxRcaAjAWrFsYEq3o+Zb/1EhNsHJGWV9yCritXruDkyZPImzcvihYtmladuv33+/fvJ+0Jkj1CspH+hx9+UPrlrKi5kV4rYWQ/U5+GZdCnYVmtTPC6Xavs33AlFDfScyO9jA8uLyZ+JYwJXodVU1RguuVFSRkhqSOkvPvuu+jduzfCwsKUXF3y/xqpXL58WbnWqEiRIrh58ybq1q2Ljh07uuyCmtDVpor/l/fCj19VgjShy0gj1bGthC5CF6HrwbdB6DJ+TFOjB6aCrt27d6NTp04YOHCgcs+ipIQQ6JJUEo0aNcLff/9tiDQRyR0rM1wxMTFKcld3CqHLHZV8/wwDLEDoInQRughdvo+2xmrBVNDVr18/BU4GDRqEr7/+WlmaE+i6c+cOHn/8cfz5558oV66csTyUTmsJXekUzEePE7oIXTK0jBZgffE5cHmRy4u+GFdGrdNoMcHlni5ZWrxw4YJyyi85dK1cuVJZpuPdi2kPU1uAlPxUXF5MWy9nTxC6CF2ErsSvg9BF6PI8kprvTVNBlywptmvXDp07d1Yuvs6QIQPKli2LOXPmoGLFipg8ebL5PJiqR5zp0oeLCV2ELkIXoSt5NGJM0Eds1toKU0GXiLlixQoMHz5cmfGylRYtWij7vHLkyKG13j5vn9Dlc4ndaoABltBF6CJ0EbrcCpeWesh00CXek1QL//33H6Kjo1GoUCFkyuTZVS5GHAmELn14jdBF6CJ0EboIXfqIx/624qtVR5w2KXzy9epjygl9Z0VuI9HLHZRu5enyt8B6ao/QpQ9vELoIXYQu60GXq8ue5TSvFCtf9qyP6Ox7KwS65HJvT4uMEd1C19tvv41Vq1a51TdupE9bJm6kT1sjd54gdBG6CF3Wgy5v7mw1+l2r7sRFqzyT1kzX7du3kTlzZmPOdB06dAhXr151y5c1atRAUFCQW88a9SHOdOnDc4QuQhehy3rQZZvNchSF4uPiEBAYgMBA579BZr/sWR/RWVsr4uPjERUVhTx58mhriJutc3kxDaEIXW6OJB8/RugidBG6rAddrsKK7DGW++6stMfYx2HWkNWbDrrk1KIsNyY/vWjzzDvvvIOMGTMa0lHuGq0mdGmxpiz3LvIaIHe9re/nmJGeyVFlhDJPV+J3SujSd7zyl3Wmgq79+/ejZcuWKFCggPIXRXBwMC5duoRbt26hTZs2GDJkiJK7y8xFLejSWiPevai1B7xvn9BF6CJ0PfiOCF3exxQz1GAq6JLkp0eOHFGy0X/11VfInz8/2rZti6lTpyr3Ls6fP98MPnPZBzWgy5tTF7Yg6+0sWc1SudCnYVnD+ovLi1xe5PIilxeTBzBCl2HDuaqGmwq65O7F4sWLK1f+zJ49GydPnsTgwYNx/fp1VK1aFZs2bUK+fPlUFVBvlXkLXd72h0sJiQoSughdhC5CF6HL218U871vKuj6/vvvsWHDBsybNw/r1q2D3MX4yy+/4O7du6hduzY2btyozH6ZuRC69OFdQhehi9BF6CJ06SMe68kKU0HXqVOn8MMPP6B///64d+8e6tSpgzt37ih6C4wsXLhQT9r7xBZCl09kTXelhC5CF6GL0EXoSnfoNP0LpoKu1N46e/YsFi9erMxuNW3aFFmzZjW9Qwld+nAxoYvQRegidBG69BGP9WSFqaErISEBly9fRt68eREYGKgn3d225cqVK1i6dCkCAgLw3HPPpZlQjdDltrQ+fZDQRegidBG6CF0+DbOGrNwU0CUb6Js1a6YsJ9rKkiVLMHbsWCVfV+7cuTFr1iyUL1/eUE6SizEnTZqEBg0aKIcCli9fjgkTJrjsA6FLHy4mdBG6CF2ELkKXPuKxnqwwPHTJbFblypUVOHn66acVbc+cOYP69evjtddeQ8OGDTFlyhTkzJkT48eP15P26bJFHNW6dWtludRVIXSlS1afPUzoInQRughdhC6fhVjDVmx46JLN8zITtHXrVuTKlUtxxOjRo/HXX39h5cqVyl2LBw4cQIcOHbBjxw7D3r04c+ZMZYmxU6dOSYNNZr5Sl969e2PPnj2aDchtJ67hjdk7Ub1EDsx+o7Jmdmjd8COfrVFMOPjps1qboln7Mg5kPMg4kPFgxTJp3XFMXn8C79QriV51S1pRAmUMMCYAcsmxJOyWxN0s1lVAJopiYmI032Pu7nVUdncv2nJwydU/kqPr5s2byozXxx9/jHbt2imeFbKUpcVly5YppxiNVgSuJAXGqFGjFPCylXHjxtl15dtvv1XgUqsSceo6Os/bg2rFsmN6x4pamaF5uxVHbFBs2DPgGc1t0cqAt+btwfZT1zGjY0VULZZdKzM0bffbDSfx7YZTePuZ4nj7mWKa2qJV44wJicrHxsYq8VvAi8W6Csi2IUljpfWVhNmyZXPLCQ4vvH799deRJUsWZTlRUkYcP34cf/zxR9Lglhu9q1evjrVr16JIkSJuNaSXh2TGLiwsTJm9c+dj5fKiPjzH5UUuL8pIHL/yML5efQxGv9bKm6+KCZMT1WNGem9GkXneNfzyorhi27Zt6Natm3LHYqVKlTBo0CBUrPhglmX16tXo0aOHssxopKnda9euoVq1akqfbMA1cuRIlChRwukIJHTp4+MkdBG6CF2J3yKhi9Clj6isDytMAV0ipXRElhazZ7dfxjh37hxktqtChQr6UN2HVhC6fChuOqomdBG6CF2EruQhgzNd6QigJn7UNNBlYh+lq2uErnTJ5bOHCV2ELkIXoYvQ5bMQa9iKCV2GdZ1jwwld+nAooYvQRegidBG69BGP9WQFoUtP3lDBFkKXCiKqUAWhi9BF6CJ0EbpUCKYmq4LQZTKHErr04VBCF6GL0EXoInTpIx7ryQpCl568oYIthC4VRFShCkIXoYvQRegidKkQTE1WBaHLZA4ldOnDoYQuQhehi9BF6NJHPNaTFYQuPXlDBVsIXSqIqEIVhC5CF6GL0EXoUiGYmqwKQpfJHEro0odDCV2ELkIXoYvQpY94rCcrCF168oYKthC6VBBRhSoIXYQuQhehi9ClQjA1WRWELpM5lNClD4cSughdhC5CF6FLH/FYT1YQuvTkDRVsIXSpIKIKVRC6CF2ELkIXoUuFYGqyKghdJnMooUsfDiV0EboIXYQuQpc+4rGerCB06ckbKthC6FJBRBWqIHQRughdhC5ClwrB1GRVELpM5lBClz4cSugidBG6CF2ELn3EYz1ZQejSkzdUsIXQpYKIKlRB6CJ0EboIXYQuFYKpyaogdJnMoYQufTiU0EXoInQRughd+ojHerKC0KUnb6hgC6FLBRFVqILQRegidBG6CF0qBFOTVUHoMplDCV36cCihi9BF6CJ0Ebr0EY/1ZAWhS0/eUMEWQpcKIqpQBaGL0EXoInQRulQIpiargtBlMocSuvThUEIXoYvQRegidOkjHuvJCkKXnryhgi2ELhVEVKEKQhehi9BF6CJ0qRBMTVYFoctkDiV06cOhhC5CF6GL0EXo0kc81pMVhC49eUMFWwhdKoioQhWELkIXoYvQRehSIZiarApCl8kcSujSh0MJXYQuQhehi9Clj3isJysIXXryhgq2ELpUEFGFKghdhC5CF6GL0KVCMDVZFYQukzmU0KUPhxK6CF2ELkIXoUsf8VhPVhC69OQNFWwhdKkgogpVELoIXYQuQhehS4VgarIqCF0mcyihSx8OJXQRughdhC5Clz7isZ6sIHTpyRsq2ELoUkFEFaogdBG6CF2ELkKXCsHUZFUQukzmUEKXPhxK6CJ0EboIXYQufcRjPVlB6PKxN27fvo3g4GCEhITYteTo35YsWYInn3wSxYoV88gyQpdHsqn+EqGL0EXoInQRulQPrYavkNDlpQvj4uIwbtw4TJ06FYcPH0ZgYKBSowDVhx9+iI0bNyr/92uvvYb3338fAQEBLv+tXbt26NmzJ+rUqeORZYQuj2RT/SVCF6GL0EXoInSpHloNXyGhywsX3rhxA127dkX27NmxZs2aFNA1Y8YMrFu3DtOnT0dMTAxeeuklDB06FE8//TRc/RuhywuH6OhVQhehi9BF6CJ06Sgo68QUQpcXjkhISMCKFStQu3ZtVK1aNQV0CTy9+eabaNKkidLCd999hzNnzmD48OFI699sM10CcpMnT8a0adOQM2dOtyzlTJdbMvn8IUIXoYvQRegidPk81BquAUKXCi67fv26HXQ988wz+P777/Hoo48qLSxfvhwLFy5UZrlc/Zttpitbtmzo1KkT5syZg4oVK7ptJaHLbal8+iChi9BF6CJ0Ebp8GmYNWTmhSwW3OYIugR+ZBStVqpTSgiw1Tpw4EYsWLYKrfxPoatasGb788kt8/fXXqFu3brosJHSlSy6fPUzoInQRughdhC6fhVjDVkzoUsF1zma6vv32Wzz22GNKC3/++Sd+/fXXpJkuZ/8m0LVjxw5kyZIFYWFhyJcvX7osJHSlSy6fPUzoInQRughdhC6fhVjDVkzoUsF1jqDr9ddfx8svv4wXXnhBaWHSpEm4cOGCsqfL1b8JdMk7R44cwYkTJzBz5kwEBQU5tHLAgAF2/12WMLdt26ZCrzyrIuLUdXSdvx9Vi2XD1PaJwGnF8uQXm5Vu7+pX24rdV/rcdf4+RJyKxtT2FVC1WHZL6vD9ptP4buNp9Hi6KLo/VdSSGjAmJLpdfmzl9LrthLslBwM7rSgQGxvrMI2UP+Vxd594wP379+/70zB32nIEXQsWLMDixYsxa9Ys5fRiixYtMGzYMNSrVw+u/s22p6tatWrKO61bt0b37t0dmrF9+3a7/96hQwfs37/fHbN98sy2E1HoOCMCNUrkxNzOVX3ShhEqLTt4pWLmkaGNjGCuT2x8bUYEtp6IwrzOVVG9hHsHQXxiiIaVTlhzDJPWReLd+qXxbv3ErQZWK4wJiR6/deuWkrMxQ4YMVhsC7G8yBQS+b968qWQ90LKEhoa61bxhoEtIduDAgcq+LvnYOnfujH79+il/5bj6t+QpIw4dOoTmzZsry5KPP/64WwJxedEtmXz+EJcXubwog2z8ysP4evUx9GlYBn0alvX5uNNjA+HHr6DdlHDULJUbC7rV1KOJfrEpOjpamd3IlCmTX9pjI/pUgMuLPvZLejPSpzZHZtGWLVumgJvMeqU1JUjo8rFD3aye0EXoInQlfiyErkQdCF1uBk+TP0bo0rmDe/XqpSwzylTgvHnzlJxdrgqhSx8OJXQRughdhK7k0YjQpY/YrLUVhC6tPeCifVmGbNu2rbI3TIoAmGzEdzXbRejSh0MJXYQuQhehi9Clj3isJysIXXryhgNb5KRjt27dlM2XcuWQ5PkqXbq08qTsF0td3nnnHezZs0ezXm07cQ1vzN6J6iVyYPYblTWzQ+uGH/lsjWLCwU+f1doUzdqXcSDjQcaBjAezlsnrI5XN8p4Ws+vDmJA4Mu7cuaOcRJd9XSzWVUBuspHDdVmzZtVUBHf3FupyI70vlbt8+bKypytjxoxK2gnJ92U79TB27Fi7piULvuT50qrI8fDO8/agWrHsmN7R/Uz6Wtnrq3YrjtigVL1nwDO+akL39b41bw+2n7qOGR0rmjplxLcbTuHbDSc99ofZ9WFMSBwa9+7dUw5SyQlGFusqIAkY7t69q/yma1nk1ht3iuWgyyaKzF6NGDFCSTfhqnB50Z1h5PtnuLzI5UUZZUZbSvDFl8GN9Imqck+XL0aX8eo0WkywHHT99NNPyr2NN27cUK4GKlGiBKHLAN8ZoYvQRehK/FAJXYQuA4Rsv5lI6PKb1J41dO7cOQW64uLi0LRpUxQvXpzQ5ZmUfn2L0EXoInQRupIHHc50+TUE67YxQpduXZNomCRVlc30cmJx5MiRXF7Uub9s5hG6CF2ELkIXocsgAduPZhK6/Ci2J03JicXevXsjf/78yilGW/oIZ3VxT5cnKqv/DqGL0EXoInQRutSPrUavkdClcw9GRkaicePGipW//PILnnjiiSSLw8PD7ax/7bXXsG/fPs16JfesvTZzh3LX3tw3q2hmh9YNl/t0lWLC4c8aam2KZu3LOJDxIOPAqncvyvFwuWfN3ZNCmjnLhw0zJiSKK2kC5OSiu3fe+dAlrFpDBfQSE9y9A9RyG+llafG9995TjhvL6UXJ02X7aAcNGmQ3dOR0o6OLsP01xuR4eJcf9ykpAqZ1eMxfzequnUqjNik27f74Kd3Z5i+DZBzIeJBxIOPBikWOh0uSYyv/0DImJI582ZcbEBCg5Opisa4CeokJOXK4lzvRUtAloCX3Lf7xxx/KCO3SpYtyibarE4xcXtTHx8zlRS4vykg02lKCL74enl5MVJUb6X0xuoxXp9FigqWgS4bTzJkzsXnzZiUjfbFixfDRRx+5HGWELn18hIQuQhehK/FbJHQRuvQRlfVhBaFLH35waYU4SaYk3clk7A/osgVRT6Xr07AM+jQs6+nrhniP0EXoshJ0MSakHZY405W2RlZ4gtClYy/LRzpnzpwUFrZp0wYFChRwajWhSx8OJXQRughd7n+LVvhDjNDl/ngw85OELh17V/Z0HThwIMnC999/Hz///DPy5MmjKXTpWDLdmEboInRZCbp08+Hp2BBCl46d40fTCF1+FNubpiIiIpQcXcOHD3dZjT9murzph1XeJXQRughdVvna3esnocs9ncz+FKHLIB7u3r07+vbtC4EqW3GUGqJDhw7Yv3+/QXplbDNfmxHhtANbT0Qp/1ajRE6nz8ztXNXYAqRhvegjOszrXNWyebokwEqeruzZrZkyw9QDPJ2du3XrlrIv1938SOmsno8bRAG9xAR309hY7vSijKMjR45gzJgxmDp1aophNWDAALthtnDhQmzbts0gw8/YZj75xWaPO1C1WDZMbW/uPGZd50uermhMbV/Bsnm6ZIBInq6QkBCPxwpfNIcC8mMreboCAwPN0SH2wmMF9BAT5GpBd4oloatfv35o2bIlatWqlaZGXF5MUyLVHpATW86KZJ8OCpK/akOdPlOzVG7VbNFjRe2mhCvpAhZ0qwmz99WZ/kZbStDjODKLTVxeNIsnveuH0WKC5aDrwoUL6NGjB3777Tflr6S0CqErLYX88+8MsNzTJSPNaAHWP1+HNVthTLCm31P32mgxwXLQld5hSuhKr2K+eZ4BltBF6PLNt2XUWhkTjOo5de0mdKmrp+a1Ebo0d4FiAAMsoYvQpY9vUS9WMCboxRPa2kHo0lZ/1VsndKkuqUcVMsASughdHn06pn2JMcG0rk1Xxwhd6ZJLm4clR9fGjRuRN29evPrqqy6NIHRp46PUrTLAEroIXfr4FvViBWOCXjyhrR2ELm31T7P1sLAw/Pjjj5A8XaVLl0a+fPkIXWmqpv0DDLCELkKX9t+hnixgTNCTN7SzhdClnfZutdy6dWt88cUXKFasGFInM0tISLCro1y5cjh69KhbdfMh3ynAAEvoInT57vsyYs2MCUb0mvo2E7rU11TVGitVqoQuXbooCVLz58+PTz75JKn+Jk2a2LV1/PhxZSmShQporcDbCw9j55kb+LZtOVQu8pDW5rB9KkAFqAAV+H8FhCfcKZZKGSEzWU2bNsXy5csRFBSEXr16QbLQFy5c2KlW3NPlzjDy/TNW+avWlgDVU0VPjGrm6auGeM9of9UaQlSDGmmVmGBQ9/jNbKPFBEtBl4wCyUbfv39/5MiRA507d8b48eNd3uNG6PLbt+OyIasEWEKX6/FmtACrj6/HnFZYJSaY03vq9cpoMcFy0CWXV8+cORNXr15F9erVlez0rgqhS72Pw5uaGGC9Uc887xotwJpHef31hDFBfz7RwiKjxQTLQZdtUMTFxSk31KdVCF1pKeSff2eA9Y/Oem/FaAFW73oa2T7GBCN7Tz3bjRYTLAtd7rqc0OWuUr59jgHWt/oapXajBVij6GpEOxkTjOg19W02WkwgdKUxBghd6n8kntTIAOuJauZ7x2gB1nwe0E+PGBP04wstLTFaTCB0Ebq0/F7cbpsB1m2pTP2g0QKsqZ2hcecYEzR2gE6aN1pMsBx0rV+/Hnv37lWGS4kSJfDCCy+4HDqc6dLHl2X1ALvp2H8IP34F9+Lv49GC2dCiUiF9OMbPVhgtwPpZHks1Z/WYYClnu+is0WKC5aBLUkY0atQIefLkQbZs2VCqVClClwG+XisH2AXbT+PjRXtSeKld9WIY1epxA3hOXRONFmDV7T1rS66AlWMCR8IDBYwWEywHXV27dsWECROQKVMmu3F7+/Ztu/9WsWJFJXs9i7YK3LhxQzlt6shv2lrm+9ZbfbsZu05ds2von08bIVvGEN8boKMWJMBeu3YNuXPn1pFVNEULBawcE7TQW69t6iUmBAQEuCWR5aBryJAhuHjxohK4W7VqhbZt2yYJ9eKLL9qJdvDgQWzatMktMfmQ7xS4f/8+3B3UvrNCm5pbTt+Dc9fv2jX+a+eKKJIjgzZGadiqlceChrLrrmmOA925RDOD9DAW8uXL51b/LQddNlWEjmU/18KFC5E1a1anYnFPl1vjyOcPWXkp4ZUpW7D1+FX7PwiGNkWm0CCfa6+nBoy2lKAn7cxmi5Vjgtl86U1/jBYTLAddcv9iYGAgxFEtW7bEggULkCVLFkKXN6PeD+9aOcAu3XMevX7cmULlbnVKYcDzj/hBeX01YbQAqy/1zGWNlWOCuTzpXW+MFhMsB12vv/66cu9iTEwMmjdvjhYtWrj0OGe6vPsg1Hrb6gH2yMUb2Bp5FbHxCShfIBtql7bmniajBVi1xj/rsVfA6jGBYyJRAaPFBMtBlzhJNmA+9NBDbo1ZQpdbMvn8IQZYn0tsiAaMFmANIapBjWRMMKjjVDbbaDHBktCVHp8TutKjlu+eZYD1nbZGqtloAdZI2hrNVsYEo3nMN/YaLSYQutIYB4Qu33wo6a2VATa9ipnzeaMFWHN6QR+9YkzQhx+0tsJoMYHQRejS+ptxq30GWLdkMv1DRguwpneIhh1kTNBQfB01bbSYQOgidOno83FuCgOsIdzkcyONFmB9LoiFG2BMsLDzk3XdaDGB0EXoMsSXywBrCDf53EijBVifC2LhBhgTLOx8QpfxnL9lyxbcu3cPdevWdWk893Tpw7cMsPrwg9ZWELq09oB+2mdM0I8vtLTEaDHBkjNdly5dQseOHdG4cWP07duX0KXlF+Nm2wywbgpl8seMFmBN7g5Nu8eYoKn8umncaDHBctAlGel79eqFJk2a4NixY4Qu3Xw6rg1hgDWIo3xsptECrI/lsHT1jAmWdn9S540WEywHXXPnzkVoaCjKly+PlStXpoCuUaNG2Y3i6dOnIyIigqNbYwViY2OV65uCgqx116DGsuuuebnYVrYFZMhgvYu+decMjQ1iTNDYATppXi8xIXv27G4pYinoioyMRO/evTFs2DAcPXoU27ZtU6Arf/78ilirV6+2E61Hjx7Yu3evW2LyId8pcPv2bQW4BJhZrKuAzFTfunXL7RslrKuU+XvOmGB+H7vTQ73EhIwZM7pjLiwFXQJaYWFhijDnz59Xlhc/+OADVKtWzalYspGehQpQASpABagAFaACzhQQvnCnWAq6kguyZ88eBcDS2kjvjoh8xvcKjB07Fo8//riyF4/FugpcvHhR+UNp3rx51hWBPVcUYEzgQBAFjBYTLAtdHK7GUoAB1lj+8pW1RguwvtKB9RK6OAYSFTBaTCB0ceQaQgFClyHc5HMjjRZgfS6IhRtgTLCw85N13WgxgdDFcWsIBRhgDeEmnxtptADrc0Es3ABjgoWdT+ii86mAbxVggPWtvkapndBlFE/53k7GBN9rbIQWjBYTONNlhFFFG6kAFaACVIAKUAHDK0DoMrwL2QEqQAWoABWgAlTACAoQuozgJdpIBagAFaACVIAKGF4BQpfhXcgOUAEqQAWo2A1XAgAADq5JREFUABWgAkZQgNBlBC/RRuXql8yZMyMgIIBqUAHw3j0OAlFA7uGMiYmB3HvH2GDdMSFXQmXKlMkQAhC6DOEm6xopl5KPGTMGly5dUu7b69ChA95++23rCsKe49SpU2jQoAFGjhyJNm3aUBELKnDo0CF88sknOHv2LEJCQjBnzhyULFnSgkpYu8tLlizB5MmTER0djQIFCuCjjz5C7dq1dS0KoUvX7qFxf/75J4oVK4aKFSsqAbZevXpYtWoVihcvTnEsqEB8fDw6duyoZKHu2bMnocuCY+DKlSsKdMsfY40aNbKgAuyyKCCzW7Vq1cKPP/6IRx99FMuXL8eECROwbNkyXc96Ero4fg2lQLt27dC5c2c0btzYUHbTWHUUmDlzJo4cOYKgoCBUqlSJ0KWOrIaq5ZtvvsGZM2cwYsQIQ9lNY9VV4ObNm3jyySexYcMGZZZr+/bt6NevH9asWaNuQyrXRuhSWVBW5zsFLl++rEwdh4eHI3fu3L5riDXrUoFjx47hzTffhMx+jho1ClWqVCF06dJTvjVKtheI76OiopT/vfTSS6hataquZzd8q4h1a//qq6+waNEivPHGG5g9ezY+/fRTNGzYUNeCELp07R4aZ1NAlpV69OiBChUqoE+fPhTGYgrExcUpgCW+lyXm/v37E7osNgZs3W3ZsiUuXLigzGokJCRAfngHDx7MpUYLjgfZ29e8eXNkyZIFRYsWxbRp05A/f35dK0Ho0rV7aJxNgSFDhih7ur777jtlaYnFWgrIktKuXbuUzfNShg0bhieeeAJt27ZVDliwWEeB5557TvkDrEWLFkqn582bh507d2LcuHHWEYE9hW3lQ7YcyMzn999/jwULFmDjxo0IDg7WrUKELt26hobZFJC/ZGXdftasWfyBteiwELjavXu3Xe/lh1fu4GOxjgLdu3fH888/nwRdixcvVjZRy48ui3UU+P333zF//nzlf1JkNUTgS5YZ5Q8yvRZCl149Q7sUBWS6+Oeff8bcuXOVXDxSZKZLjomzWFcBLi9a1/eSJkBmvGVW4/79+8qSsyw5yv9YrKPA6dOnlaXFFStWKEuK8kdZp06dlD2/GTNm1K0QhC7duoaGiQJlypSxE0I2zdr+uqFK1lRAoEvGQevWra0pgIV7LTMacnJRcnPJgZoXX3wRvXv3RtasWS2sijW7PmXKFPzyyy9Knq7ChQsrJ9ubNWumazEIXbp2D42jAlSAClABRwpINnopoaGhFMjiCsiNJbKZ3giF0GUEL9FGKkAFqAAVoAJUwPAKELoM70J2gApQASpABagAFTCCAoQuI3iJNlIBKkAFqAAVoAKGV4DQZXgXsgNUgApQASpABaiAERQgdBnBS7SRClABKkAFqAAVMLwChC7Du5AdoAJUgApQASpABYygAKHLCF6ijVSAClABKkAFqIDhFSB0Gd6F7AAVoAJUgApQASpgBAUIXUbwEm2kAlSAClABKkAFDK8AocvwLmQHqAAVoAJUgApQASMoQOgygpdoIxWgAlSAClABKmB4BQhdhnchO0AFqAAVoAJUgAoYQQFClxG8RBupABWgAlSAClABwytA6DK8C9kBKkAFqAAVoAJUwAgKELqM4CXaSAWoABWgAlSAChheAUKX4V3IDlABKkAFqAAVoAJGUIDQZQQv0UYqQAWoABWgAlTA8AoQugzvQnaACvhOgcuXLyM+Ph4FChSwa+T06dPIly8fMmTI4DMDpk6dirt37+Kdd97xWRvuVnz+/Hn89NNPWL16NZ588kkMHTo06dUrV66gR48emDBhAgoWLOhulWk+N2fOHIgPPvjggzSf5QNUgAroXwFCl/59RAupgGYK9OrVC2FhYfjjjz9Qvnz5FHaUKVMG8+fPR9WqVX1m3+DBg3H79m2MGTPGZ224W3G/fv1w8uRJBa4ENGvVqpX06oULF/DMM88oWpUsWdLdKtN8bsSIETh79iwmT56c5rN8gApQAf0rQOjSv49oIRXQTAEbdFWoUAG//PILgoODk2yxEnTJbF+VKlUwevRoNG7c2M4fhC7NhigbpgKGUoDQZSh30Vgq4F8FBLqKFi2KBQsWoGfPnujWrZtD6FqyZAmWLVuG77/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font-size: 14px; fill: rgb(36, 36, 36); opacity: 1; font-weight: normal; white-space: pre;\">Number of bedrooms</text></g><g class=\"g-ytitle\" transform=\"translate(3.6904296875,0)\"><text class=\"ytitle\" transform=\"rotate(-90,10.309375000000003,101)\" x=\"10.309375000000003\" y=\"101\" text-anchor=\"middle\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(36, 36, 36); opacity: 1; font-weight: normal; white-space: pre;\">Sale price (USD)</text></g></g></svg>"
       ]
      },
      "metadata": {},
@@ -1472805,7 +1472883,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "The median sale price increases with the number of bedrooms from one to five bedrooms, but for the largest houses (those with more than six bedrooms),\n",
     "the distribution of log-transformed sale price appears nearly the same."
@@ -1472813,7 +1472893,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "We would expect houses with one bedroom to be smaller than houses with, say,\n",
     "four bedrooms. We might also guess that houses with six or more bedrooms are similar\n",
@@ -1472826,7 +1472908,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 82,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1472837,7 +1472919,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "We create two scatter plots. The one on the left shows price\n",
     "against the building size (both log-transformed), and the plot on the right\n",
@@ -1472846,9 +1472930,54 @@
     "per square foot for buildings of roughly the same size:"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 117,
+   "metadata": {
+    "tags": [
+     "remove-cell"
+    ]
+   },
+   "outputs": [],
+   "source": [
+    "# Code to create plot below\n",
+    "from statsmodels.nonparametric.smoothers_lowess import lowess\n",
+    "color1 = sns.color_palette()[1]\n",
+    "color2 = sns.color_palette()[2]\n",
+    "\n",
+    "fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(7, 3))\n",
+    "\n",
+    "sns.scatterplot(data=sfh, x='log_bsqft', y='log_price',\n",
+    "                alpha=0.1, s=20, ax=ax1)\n",
+    "xs = np.linspace(2.5, 4, 100)\n",
+    "curve = lowess(sfh['log_price'], sfh['log_bsqft'], frac=1/10,\n",
+    "               xvals=xs, return_sorted=False)\n",
+    "ax1.plot(xs, curve, color=color1, linewidth=3)\n",
+    "plt.setp(ax1, xlabel='Building size (ft², log10)', ylabel='Price (log10)')\n",
+    "\n",
+    "ppsf = sfh.assign(\n",
+    "    ppsf=sfh['price'] / sfh['bsqft'], \n",
+    "    log_ppsf=lambda df: np.log10(df['ppsf']))\n",
+    "sns.scatterplot(data=ppsf, x='bsqft', y='log_ppsf',\n",
+    "                hue='br', legend=False,\n",
+    "                alpha=0.1, s=20, ax=ax2)\n",
+    "xs = np.linspace(200, 6_000, 100)\n",
+    "curve = lowess(ppsf['log_ppsf'], ppsf['bsqft'], frac=1/10,\n",
+    "               xvals=xs, return_sorted=False)\n",
+    "ax2.plot(xs, curve, color=color2, linewidth=3)\n",
+    "plt.setp(ax2, xlabel='Building size (ft²)', ylabel='Price per ft² (log10)')\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.savefig('figures/trendPPSF.jpg', dpi=300)\n",
+    "plt.close()"
+   ]
+  },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "tags": [],
+    "user_expressions": []
+   },
    "source": [
     "<img src=\"figures/trendPPSF.jpg\"\n",
     "     width=\"600\" />"
@@ -1472856,7 +1472985,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "The lefthand plot shows what we expect---larger houses cost more. We also see\n",
     "that there is roughly a log–log association between these features."
@@ -1472864,7 +1472995,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "The righthand plot in this figure is interestingly nonlinear. We see that\n",
     "smaller houses cost more per square foot than larger ones, and the price per\n",
@@ -1472874,7 +1473007,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 83,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1472893,7 +1473026,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "So far we haven't considered the relationship between prices and location. There are house\n",
     "sales from over 150 different cities in this dataset. Some cities have a\n",
@@ -1472903,7 +1473038,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "## Fixing Location\n",
     "\n",
@@ -1472918,7 +1473055,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 84,
    "metadata": {
     "tags": [
      "remove-cell"
@@ -1472946,14 +1473083,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Let's begin by comparing the distribution of sale price for these cities: "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 85,
    "metadata": {},
    "outputs": [
     {
@@ -1486056,12 +1486195,10 @@
           ],
           "scatter": [
            {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 1,
-              "tickcolor": "rgb(36,36,36)",
-              "ticks": "outside"
-             }
+            "fillpattern": {
+             "fillmode": "overlay",
+             "size": 10,
+             "solidity": 0.2
             },
             "type": "scatter"
            }
@@ -1486582,9 +1486719,9 @@
         }
        }
       },
-      "image/png": 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",
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      },
      "metadata": {},
@@ -1486602,7 +1486739,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "The box plots show that Lamorinda and Piedmont tend to have more expensive homes and Richmond has the least\n",
     "expensive, but there is overlap in sale price for many cities."
@@ -1486610,14 +1486749,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Next, we examine the relationship between price per square foot and house size more closely with faceted scatter plots, one for each of four cities:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 86,
    "metadata": {},
    "outputs": [
     {
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",
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\" preserveAspectRatio=\"none\" x=\"0\" y=\"0\" width=\"450px\" height=\"400px\"/></g><defs id=\"topdefs-88b51a\"><g class=\"clips\"/></defs><g class=\"layer-above\"><g class=\"imagelayer\"/><g class=\"shapelayer\"/></g><g class=\"infolayer\"><g class=\"g-gtitle\"/><g class=\"g-xtitle\"><text class=\"xtitle\" x=\"155.365\" y=\"389.20625\" text-anchor=\"middle\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(36, 36, 36); opacity: 1; font-weight: normal; white-space: pre;\">Building size (ft^2)</text></g><g class=\"g-x2title\"><text class=\"x2title\" x=\"347.635\" y=\"389.20625\" text-anchor=\"middle\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(36, 36, 36); opacity: 1; font-weight: normal; white-space: pre;\">Building size (ft^2)</text></g><g class=\"g-x3title\"/><g class=\"g-x4title\"/><g class=\"g-ytitle\" transform=\"translate(3.3447265625,0)\"><text class=\"ytitle\" transform=\"rotate(-90,10.668750000000003,266.67)\" x=\"10.668750000000003\" y=\"266.67\" text-anchor=\"middle\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(36, 36, 36); opacity: 1; font-weight: normal; white-space: pre;\">Price per square foot</text></g><g class=\"g-y2title\"/><g class=\"g-y3title\" transform=\"translate(3.3330078125,0)\"><text class=\"y3title\" transform=\"rotate(-90,10.668750000000003,93.33000000000004)\" x=\"10.668750000000003\" y=\"93.33000000000004\" text-anchor=\"middle\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(36, 36, 36); opacity: 1; font-weight: normal; white-space: pre;\">Price per square foot</text></g><g class=\"g-y4title\"/><g class=\"annotation\" data-index=\"0\" style=\"opacity: 1;\"><g class=\"annotation-text-g\" transform=\"rotate(0,155.365,181.84)\"><g class=\"cursor-pointer\" transform=\"translate(106,172)\"><rect class=\"bg\" x=\"0.5\" y=\"0.5\" width=\"98\" height=\"18\" style=\"stroke-width: 1px; stroke: rgb(0, 0, 0); stroke-opacity: 0; fill: rgb(0, 0, 0); fill-opacity: 0;\"/><text class=\"annotation-text\" text-anchor=\"middle\" x=\"49.375\" y=\"14\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre;\">city=Lamorinda</text></g></g></g><g class=\"annotation\" data-index=\"1\" style=\"opacity: 1;\"><g class=\"annotation-text-g\" transform=\"rotate(0,347.635,181.84)\"><g class=\"cursor-pointer\" transform=\"translate(300,172)\"><rect class=\"bg\" x=\"0.5\" y=\"0.5\" width=\"94\" height=\"18\" style=\"stroke-width: 1px; stroke: rgb(0, 0, 0); stroke-opacity: 0; fill: rgb(0, 0, 0); fill-opacity: 0;\"/><text class=\"annotation-text\" text-anchor=\"middle\" x=\"47.359375\" y=\"14\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre;\">city=Richmond</text></g></g></g><g class=\"annotation\" data-index=\"2\" style=\"opacity: 1;\"><g class=\"annotation-text-g\" transform=\"rotate(0,155.365,8.500000000000032)\"><g class=\"cursor-pointer\" transform=\"translate(111,-1)\"><rect class=\"bg\" x=\"0.5\" y=\"0.5\" width=\"87\" height=\"18\" style=\"stroke-width: 1px; stroke: rgb(0, 0, 0); stroke-opacity: 0; fill: rgb(0, 0, 0); fill-opacity: 0;\"/><text class=\"annotation-text\" text-anchor=\"middle\" x=\"43.75\" y=\"14\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre;\">city=Berkeley</text></g></g></g><g class=\"annotation\" data-index=\"3\" style=\"opacity: 1;\"><g class=\"annotation-text-g\" transform=\"rotate(0,347.635,8.500000000000032)\"><g class=\"cursor-pointer\" transform=\"translate(302,-1)\"><rect class=\"bg\" x=\"0.5\" y=\"0.5\" width=\"91\" height=\"18\" style=\"stroke-width: 1px; stroke: rgb(0, 0, 0); stroke-opacity: 0; fill: rgb(0, 0, 0); fill-opacity: 0;\"/><text class=\"annotation-text\" text-anchor=\"middle\" x=\"45.828125\" y=\"14\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre;\">city=Piedmont</text></g></g></g></g></svg>"
       ]
      },
      "metadata": {},
@@ -1503652,7 +1503791,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "The relationship between price per square foot and building size is roughly\n",
     "log–linear with a negative association for each of the four locations. While,\n",
@@ -1503666,7 +1503807,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "In EDA, we often revisit earlier plots to check whether new findings add\n",
     "insights to previous visualizations. It is important to continually take stock of our findings and use them to guide us in further explorations. Let's summarize our findings so far. "
@@ -1503674,7 +1503817,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "## EDA Discoveries\n",
     "\n",
@@ -1503691,7 +1503836,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "There are many additional explorations we can (and should) perform, and there are several checks that we should make. These include investigating the 436 value for lot size and cross-checking unusual houses,\n",
     "like the 30-bedroom house and the $20M house, with online real estate apps.\n",
@@ -1503715,7 +1503862,7 @@
  "metadata": {
   "celltoolbar": "Tags",
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -1503729,7 +1503876,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.4"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/content/ch/10/figures/scatterPlot_price_bsqft.jpg b/content/ch/10/figures/scatterPlot_price_bsqft.jpg
index adff3f12f..8ba306b1a 100644
Binary files a/content/ch/10/figures/scatterPlot_price_bsqft.jpg and b/content/ch/10/figures/scatterPlot_price_bsqft.jpg differ
diff --git a/content/ch/10/figures/trendPPSF.jpg b/content/ch/10/figures/trendPPSF.jpg
index 501c5bf1d..92af3a2c6 100644
Binary files a/content/ch/10/figures/trendPPSF.jpg and b/content/ch/10/figures/trendPPSF.jpg differ
diff --git a/content/ch/13/figures/sotu_pca.png b/content/ch/13/figures/sotu_pca.png
index 2ac52938c..be3d866a9 100644
Binary files a/content/ch/13/figures/sotu_pca.png and b/content/ch/13/figures/sotu_pca.png differ
diff --git a/content/ch/13/text_sotu.ipynb b/content/ch/13/text_sotu.ipynb
index 6cd753ed4..e8662fa8f 100644
--- a/content/ch/13/text_sotu.ipynb
+++ b/content/ch/13/text_sotu.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {
     "tags": [
      "remove-cell"
@@ -18,9 +18,10 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "# Text Analysis\n",
     "\n",
@@ -41,16 +42,17 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Let's begin by opening the file that has all of the speeches:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {
     "colab": {
      "autoexec": {
@@ -83,9 +85,10 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "At the beginning of this chapter, we saw that each speech in the data begins with \n",
     "a line with three asterisks: `***`.\n",
@@ -95,7 +98,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -113,9 +116,10 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "In text analysis, a *document* refers to a single piece of text that we want\n",
     "to analyze. Here, each speech is a document.\n",
@@ -124,7 +128,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -132,16 +136,17 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Then we can put the speeches into a dataframe:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 5,
    "metadata": {
     "tags": []
    },
@@ -242,7 +247,7 @@
        "[232 rows x 3 columns]"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -263,9 +268,10 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Now that we have the speeches loaded into a data frame, we want to transform the speeches to see how they have changed over time.\n",
     "Our basic idea is to look at the words in the speeches---if two speeches\n",
@@ -274,9 +280,10 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "There are a few problems in the documents that we need to take care of first:\n",
     "\n",
@@ -297,7 +304,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 6,
    "metadata": {
     "tags": []
    },
@@ -398,7 +405,7 @@
        "[232 rows x 3 columns]"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -418,9 +425,10 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Next, we look at some more complex issues:\n",
     "\n",
@@ -432,9 +440,10 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "To handle these issues, we can use built-in methods from [the `nltk` library][nltk].\n",
     "\n",
@@ -442,9 +451,10 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Finally, we transform the speeches into *word vectors*.\n",
     "A word vector represents a document using a vector of numbers.\n",
@@ -454,9 +464,10 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "```{figure} figures/word-vectors.svg\n",
     "---\n",
@@ -468,9 +479,10 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "This simple transform is called _bag-of-words_, and we apply it on all of our speeches. \n",
     "Then we calculate the *term frequency-inverse document frequency* (_tf-idf_ for short) to\n",
@@ -492,9 +504,10 @@
    "source": []
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "After applying these transforms, we have a two-dimensional array\n",
     "`speech_vectors`. Each row of this array is one speech transformed into a \n",
@@ -503,7 +516,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 7,
    "metadata": {
     "tags": [
      "remove-output"
@@ -517,7 +530,11 @@
       "[nltk_data] Downloading package stopwords to /Users/sam/nltk_data...\n",
       "[nltk_data]   Package stopwords is already up-to-date!\n",
       "[nltk_data] Downloading package punkt to /Users/sam/nltk_data...\n",
-      "[nltk_data]   Package punkt is already up-to-date!\n"
+      "[nltk_data]   Package punkt is already up-to-date!\n",
+      "/Users/sam/mambaforge/envs/textbook-test2/lib/python3.10/site-packages/sklearn/feature_extraction/text.py:525: UserWarning:\n",
+      "\n",
+      "The parameter 'token_pattern' will not be used since 'tokenizer' is not None'\n",
+      "\n"
      ]
     }
    ],
@@ -543,7 +560,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -552,7 +569,7 @@
        "(232, 13211)"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -562,9 +579,10 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "We have 232 speeches, and each speech was transformed into a\n",
     "length-13,211 vector.\n",
@@ -582,7 +600,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 9,
    "metadata": {
     "tags": [
      "hide-cell"
@@ -614,7 +632,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 18,
    "metadata": {
     "tags": [
      "hide-cell"
@@ -625,7 +643,8 @@
     "fig = px.scatter(with_pcs1, x='pc1', y='pc2', color='year',\n",
     "           hover_data=['name'],\n",
     "           width=550, height=350)\n",
-    "fig.update_layout(coloraxis_colorbar_thickness=15)\n",
+    "fig.update_layout(coloraxis_colorbar_thickness=15,\n",
+    "                  coloraxis_colorbar_title='Year')\n",
     "fig.write_image('figures/sotu_pca.png')"
    ]
   },
@@ -640,7 +659,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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Ckxw2uTBi+taEWiUEJcN7NMSa01fx6n2YYN1XV4xPeI2lIj9SZd4s23Uetx6qAk7JOxJvDnaMw1ocYJ8tG/atF16KNnzGNly7LzxKygkLfMiqgQsmJzYetn7hDHbUYEIvk9fF967qvq7aZYtg0dxDeOynWhcdL036tQMaNNKvLH5yYJLTJhsaOVfE+7ehqFTjWzi3r2bUAFsOJvJ8ZDw8PHD98ipUKqM6lpPSbj3Ihso1BsPd3bTilaQ8Y+K+HExS0RwHE323VvqOy+hgculxIPqv3i5QstkXOsJQvaxEMFl6xAdet/3xMfwTyhUpgEkdmzCgmr/wCK56q7wXYcWzsRiRpC0xmCR+z32SphBbPF2ao4aSr51srKzguW60QF5yHhMqbR+XQ5hjbP0sAhafYjH1r56o37hMshv8VdBHnPO6i72bLuB10EfQ8UvnPnXRd6jmiEjMp8P/QRCG91km7BobDzMi0a+N4GTufwPFiBTVh4OJKDVJ7kRgEhu+CL07aY4hxQrZvDsnstiM5mAiVmEZvR8HE9O0cEYHk8TeEq3fNGI0XpM1w7qhppOjLAb0uuGH/RfuIuxzFEo72mNo27qwzZ5yNVWCkuXHVB4edStd0B4DK1bCnL8OJLz2qYAlYmy0waBaSUesmthN57PMWHoYh0+rjoTIW5K0WWTJgkU/dkX+fHZwyJ8z4W2qQUJek8SZNWZf4ln6cZylUFDHCiUwoHejVOM7Xr38iOE9lybcPKyecOLUTnBpX1WSPSaP34QLZx8kjImn4yn6k0TK0evCgGBJEyXqzMFEX82lPI7AJCZ8EXrpASZbdueEBQcTeQxjilI5mJii1YDMCibFc+eGvbU1C35tXkE7w8RYlrzyMBCDF2h7awhOtv7sluIU3y3Zjqv+wqMT92JlcXCvb8LYOAszfM5nidgcKjgo6ZgX0/q3YkGwD54HI/xzNGyyW6J0EXVmTQhmLDmM6/cCdYIJHedYhqviQ/r3ro/v+tRPmIuycv5ZdxLnLj1ixz7mcWDl7tVzqzvSMdO++YMFpewJQtTBqcVLFmDQwo5ghghjQzr1qoPhP7SRZIbXLz6gX8u5iDczY14S5knS4U1aunUknMo4SJKdXGcOJkZRo0AIgUl02CL01ANMtu3JiawcTOQxjClK5WBiilbL+GDy4kMonOcJA149Jw5EodzyVh+d7HEU+y9qB6fSLvnBtRE8Np1nxdKodXetjjEDNEGayYHJwLIVsWfrJcFG+2d+H1Sporl5dcLivTh9XROs6lqvPKYOUAXEqtuMZYcFAbXm0fGwiIxnqcMxOcxQ9Nu8yJ3TGtXLFgZl4fy54BDOXfLTksNK2VupwKjAN7b4vk9TNKmmDXo3rj7FlB+2anlGJk7uyErvGwtMaP4RnRfiyQNVZg6BSXwWbX9JDhsr7DYgJTmp4glMbvn6wyKLygNGR0W8Ga4BApOosMXorgeY/G9PTljZjOJHOYabIWNI4GBimnbM6B4Tssrxu37wOH8NLz+GoGCunBjVvC5qFZfn6CbxLhj0z3Zc9RN6PnKHmyM6TLvg2MDu9dG6aXl2V86cPaew6cw1rQ3lkNsWc9o5Y/yETVqvU+Do1s0jYWOjqpp66pofJi7ZJ9iM80a2R5OqGmCg+3X+9TiJoDchePLsLUI/fEKWKLCjjyhbc0GxtUGd6iJnVkssXOMlkD33ly6oW7N4sh+ACUPX4ua1Z9rrtsmGjXvHwa3tfHwK1xRao05T5vdC/aZlJX+gyGuycckJ0N/R0V8Q8OIDwkKpVooKUAaPb4lu/Yx3Gdz6xZ7YsuJUwjrzF8yFJdtHw8bOtCrYSla0zAMITCLDFqObHmCyfU9OZONgIrOFTEg8BxMTMlaipWYGMDGWZSiQdoO3L4sXoTiRkc3rooyDvZb4+y/eYMVhH3jd8kfOHNkQEh4JVjBE/ct7PGAdFAOKPaXGPA4WQJaoeFiFxDEwmTG9Cyg2hoJfqRGULBjQAWUK2ePcuYfYsOkcXrwKSfC4VKlUBH9M6czgZMVeH6zar52aSzLaNiiPlyGheBD4hsW6tK9THu1ql2PyF604gR37riY8R2QeTdyKOnQ0p212uLWpAa8Td+H3VHOT8Xc96mFgT82Rjy5dD+2zDI+/ZgYlft/z0lR2nLNhuRdu+j5F8VIFUK9JGbgPM06K77F9vpg/ZbfWkqb83Rv19ICepM/Fjo5azRM8bp/hzdB3RHNjbblMKYfA5FPYYnTtKD34deeenMhuyz0mmXLj6HpoDiamuRU4mIizGx0JuczVPhKyzWaFY5MGwi6bJpi19dT/EPRBk8IbT1SSJPvF6l0sLCPiEV4oC2Kza44bsnyOR65HX1C/bkn8OaUzW5iuS/zGTtyEG7dUqbfq1tK5An6e6Ir95+9g2tqjWu8RXFjaWSIy+ovW66vGdkONko64dvM5xv28VQAmbO1J4jQIcNrVVdV8sbW2QslvVfErKTVdHhPqT2AiZ+vU8A+BN6Zi9WKYZ4TMnJuXH2PSAOERYcUaxTB3rarkP2/6aYDAJCJsMTrrASa79uSENQcT/RSfEUdxMDFNq3IwEWe3Jcc1tVASj/ijiws6VVd9Ue+8cBvTt3qq3iYeYeVB4jW1Qr4OzBILWL6LRYSjjlTbgBjUdiyEBXN7s966wKRJy9mCRZOnZavHcIR9ikK7H1exwFd1s8pmgU9IUm8EwNDWdTCsrap+C8HJgUM3cO78A4RYgx3lUKxJEqZifS+tl3bj8PlT9zF1kgZ8SEbfQY3hPkRaWrA4S2l6tayqu8T90WszpIoS9Pe/H4SR3RYLXu/Ypx6G/dTWYPmZWQCBSXjYYnTSA0x278kJGw4mmXn7aD87BxPT3AumDCYe3r7Y43sX91+9Qc1vHTGyWV3U+tb4sSM7b93B4rM+IK8JlW43j6bMD5W9f2zbGO71q2EZpfge1U7xRZzQW6LeJU52ufAo8qNg01i9i0P9PA6SwcSpeD6sXjaAyXv5NpR5Tq4+CED10oWRN481/th2QjBXYjChNydP2grvsw8Qa2mOzw7ZEWtJ9+gI97VUMCEJFAB74+oTJsyplAPqN0m+vomxPklyekxojRP7r8Ttq9qxM3+tGYhKKcTbGOvZMrIcApPQ0MXo2FF187WUtnevHWw5mEhRWcbuy8HENO1rqmBCAa1jNu/XUjodrVC2TeKjFUOtsvaKL2ae0AQ4kjwq3Z41QvWNvXO0G4szqf/zEoRHage0stpe8UKPCcWM/NC1Ccat16w/ziKepbpaRMRhfPXa+K5vAyZf6lGOrud9+S4UbacIjx3+HtwOTStrAmKH9F2eUI2V5EQ4ZEOsrYWWSEoH9louLMJmqJ7lGL9rkzdWzDusJdpYMSYk9MO7MBzacQFBz0OQv1Bu1GtWzmipyHLow1RkEpiEhC5Gez3AZN9eO+TkYGIqppZ/nRxM5NexHDOYKpjMOngKG3w0mSvMgWEGVCtWEPWciqJvnapGAZQ+m/+HSwHCzBrLEDO41auKTlXLIzwyCgMWbxcU86IlNSr7Lc7cVXkK1O2fge1QKE9OdPlnA4vhiM5FsRya9ztXLI/ZbVXpvbrAhMrML1p+HNdvPGd9qlQugtHDWiRk5ujaJ/su3MHcHacS4Im8JW6NqrLaIvkK5GJ1Rb4fsU4re4Y8J58KZU/I0CEomTK4NZokuVlYn31JWUFHTt5GeEQUCuSzQ+tmFfQRk+oYqgrr7XWP9aOibfkL5k51jNgOvI6JWE1J60dg8iF0MdrpASYH9tohFwcTaQrPyL05mJimdTMCmDDHRBZN4gtZgrwnx8cb7j1JDkx+rtsIN/xewuuOpl4Iu4dHUwEd1Z0csWZUN9DlgV43VfU/mlYqgUJ5VPVT6k1cjI+W0YjRUU5l73duKJs/n04wMcZOWzr/MHZv1Rw9Va5eDHWblMWyBdqBsy5tKqN51+psylJF8wkKp+mzlqDgEAwYt55BibpVrVAYC//sqY+4NBtDmTivX34EpQWTh4SDiTyqJzB5H7oYrh2kH+Uc3GuH3HY8K0cey5igVA4mJmg0mG6Btd2+d/DrrmNM6fF0qqKjxPqinu3QoqxhVV0nHTyC3be1i6TRBXh5w7LhU5KjG7aW+HiYswUB/wxoh2YVk59/o5cv/jxxCrE2wr2zoXc31C5SWBYw8X/wCsPchHfLUNEz8uDc8H2K8LBIVK5WDF161jH6xl6z5TzWbvUWyF34R09UrVjY6PMZQ+C8X3fgeKKqu84dqmHM1A4ICwtDnjx5jDEFl/FVAwQm70KXoI0eYHJorx2+sRvJC6zx3aTSAAcT09wJpuoxIW1TrQ8KgA2LjtYJJj+1aox+dasZZJjAkFC4rlyPiDhVqi2Bh2WYGbJEmSVk3iSeoGl5JzSr4IQaJQoneEZSWsCfnqew/qqmzLy6r5xgcnT/NcybvkewrL6DmxicKfPyfSiWH/Zh9VKo1kuNkoUxrLU23Cz47yR27NfUTVEvRKlg4n3iLqaP3SjQ1y/ze6JCTUcOJgZ9woSDCUzehC5Baz3A5MheO+TlYGJki5iwOA4mpmk8UwYTtcZ3X7uDX/aovCeJ267hbihbQLsAmj5WGrN2H07c80e8eTyyxCRKU4kTptMOc6mDES1VKbhiGoFP+zUeCI/SBM6WyWePfQP6suG6YkzEyE2pD2XHTBy2ThYwGbhQWO12aKs6GN5Go5PkPCZr/umHz2/DUalW8lVk9X32DUtPsFiTxw9esQJrbsObiQ5U3bDkODYtOymYutfQJmjXpwYHE32Nksw4ApPgkCVopQeYHN1nB3sOJka2iAmL42BimsbLCGBCmndfsx2XnwWqjnW+skOZAvYY1bgOWpQx7DjnxG0/jFunnQFUtVghvP4YqlVMzSabJbZP6CvKU5J4txCc7LqluvXXzsoKFPyqziySA0zomMat3d+ISBTjQXNv2Ds+1RuBU9vlVcb8I+hSvYQjVo/R3HhMga/dBi1HxCcNjDnmssHHS6pgXmod3etj6M+uqU0n6v1je30x//ddWn2tbbPB4/BEUeXjj+25ir9/2ymYa+y0jqjdtAQHE1FWEN+JwOR1yBK46AEmx/bZIT8HE/HKzug9OZiYpoUzCpiQ9ud5nsV/3le0DEFBsCfGGhYEGxoZhct+ATh52x90VFHTyRFujVRHRGtOXMaDF2+Q1y4HXCqVQsPyyV/k9iDgDU7d9EfBb+zQpJKTqEBSOcCE1k23/e7a4gP/h0HI75AbLdtVQeXqhl1CR6X6G/64NFUwoQ4EJ9duPYffk2Dkt82BxT/8TzDu+5ld4dxJFXhrSJv320547tO+e4jk/bV6ICrXTP2Zw0Mj4e4yR6uKLF0IuPrg94g3+8LBxBDj6BhLYBIUsgTOeoDJ8X12KCACTOLi4vD+/XtkzZoVOXPm1PkEb968gY2NDbJnzy54n8YHBwcjb968sLDQTqln+zssjAVHyx1/ZBZPh8u8JasBDiamuTkyEpjMPHIKHheFX0Dr+3VD7WLSC6/tunkHfx4/hbAoVfYIS+N11dzSS/VBes7ciPDPmuySCV0bo08zYVzL3P+dwhYvzdpsslth669uDFJSanKBiT671eOcL7zu+uP+yzeoWdwRbg2qCS5DbD1FuyQ/zdOuVjnMcNO+3Tjx/LvXn8PK2QcFS+ozsjncRrXQZ6lszIUDVxD5KRqHDt7GjWsab4xaoFgwof6UkbN7w3lQxVenMg7o1Lc+8uSz4cGvelsn+YEEJi9DlqBFe83VDmKnObHPFg45Uw5+PX/+PEaOHImIiAgmtnbt2vjxxx9RsWJF9v9nz55h0KBBePr0Kft/t27dMG3aNAYx1Ly8vDB+/PiE8TNmzEDPnqqMMpI5YcIEnDihKmhYpUoVLF26FPb2hh8p69IBB5NUdgYHE7EfHWX142Ci2x50vNJs6X+CN6m+SOdKqhL0kz2O4sAF7Ywdet136XitcQQwrr8JC5z1aloVPxdR3OkAACAASURBVHRvkuKGUAqY0AWGA1Zu11oreaOO/jgQdtk1dwVdfhSIyRuPJBxx0THOv4Pbs0DY5Jr38TuYMVoYXKovmBxdfwrzBi5FvLk5zMzMgVy2MM+v/cVAHo8NR34QdZST3Lp5urA8P8sITF6ELEEzPcDk5D5bFEoFTHx8fJi3o0mTJvj8+TOmTJkC8oCsWrWKPdCAAQOYp2TOnDkICgpC586dGZh06NCB9a9bty7Gjh2Lvn374uTJkwxy6O/ChQtjxYoV2LZtG7Zs2YIcOXIwwHFycsLMmTNlURYHEw4msmys9BaqFDC5+zYYxx/7gf6uXagwupSpwOItxLYXH0Nx8WkAftmrHQRrY2WJk+MGSS62dvF5APpu0v4iprW416iK35xVd7wM+mc7fB8Ji6+tHNcNNUppPDRXHgZiyD9CWdVKOuK/7zWxF7qeVSlgssTTB8tOJCm5T0dZQ7oJvCZibabuFx76Gf2aax+V0Hvrjk9i9UKktFdPg9G3xChVVLJ5FphZfL2P6JvcdOsgzLJkQT6HXBj+YxtWqdWQlhKYnN9/FY9vByB/kbyo17YabHLlMGSqTDWWwCQgZAma6gEmp/bZwjEVMEmqzL1792LixIm4d+8e83jUqFGDwUW1airPJ0EJAcry5cuZt2TIkCG4c+cOLC0t2fvOzs4MUtzd3Rm8tGnTBkOHDmXvHT58GGPGjMHDhw8Fd2YZw6gcTDiYGGMfKU6GEsCEYKTdVg8t3ZTNa48DPfulqC+K/Ri1dR8uPVXBAf0G36BEUdwIDMLLkDCUzp8Xo5vU1Sv4NTkwGdWgLsY0VGWYjF++D6dvagqsqRebET0ms/efwsbzwmMyY4AJ6c3/3ktsXHwcEWGRoMDUTv0a6JWdc+PUHUxsMY15S8yzWAhuR6a5dr1YYRRQSA5MJraeiZvnHiTsXeucObDh9nyjzKm4HyAyLIjA5PnHJWisB5ic3m+LIhLBhKDk0aNHIEDx8/ND69atQcc9+fKpbs5et24ddu/ezd7funUrVq9eDU/Pr5d1Ahg2bBiKFy+OSZMmsaObWbNmMRnUCGA6duyIK1euJBvLYogKOZhwMDFk/yh2rBLAZMElbyy8JCy4talTD9QplHzBrUVePlhy+gLLxInPogoBs7KwwPnxQyV5W3QZh6CnydJVWmm81G9DH1XhM2rME/KvtiekcSUn/DOsvUDk5PXaxz6UwbPq++4oXTjls2cpHpMrDwLh+zAQ1Us7onoij40xNt+eq3fw23ZhSjYd5RTKnXKcjDHmTyzjdcB7PL73EtZ22VG8XEHY2GmCE9VgAjNzmFFQornwFsJl3n/AqXJRg5elC0xunL2HH9oIb392+7kj3H/pZPCcmUEAgcmzj0vRSA8wObPfFldPFGBHMYnbxo3Co0J6X+0tIfioX78+fH190aNHDy2QIBhZsmQJzp49y45qDh06xMap27hx49h8FGtSqlQprFy5Ek2bqryqatA5ffo0ChYsaHTzcTDhYGL0TaUEgUoAkx+OH8au+6p02cQtNTDpu3Y7Lj0PRGw2uihPMzKftQ0OD+pnMJzcex2MhWd9EPo1+LVLxfIJ8SXq2aiQmNd1Vbl5CmRtX1cVf6KrUT914bGmVUqkGvhKMsSCSc/pG/Ao8G3CtKUK22PL724Gb7FL/oG48kTlkbr+7CW8H6lu0yWw+rNbSzQvb1gqttQF7l59GitmaIrDEZxMWTEAlepq1tGn+Ai8fv4OZlktYGauXRI4h1127AlaKXVanf05mBhFjQIhBCZPPi5FQz3A5Nx+W2QN74BmzZppyaUA16SNQIPiSaZPn45evXqxt9Ug4e3tnRCwKtVjMnv2bLRq1YrJ4x4TefaIaKk8+FW0qhTVUQlgsvb6Vfxxzkugl/093VEur8qdqqsRmFx4EQCojnq12tJO7eFc0vAvzXtBb/Dg1RvmFShdwF5yrIqhxhYDJl7X/DBxmXadFZp3Sn8XtK+XPChRnyXHfbD0a+wIHYX92dUlATZO3PHDWA9tuW71q+Kn9ikH7Br6zCmN71zxZ3wKi9TqUte5AqasGpjwGsWZ7FpwCL4nbuN14HtERamq9hKUjPjLDS59GxlliRxMjKJGgRACk8cfl6J+O+lZOef326J4rhGplqRXx34QRHTp0iVhDSEhIYIYk6lTp+LVq1fJxpgQBPXv35/HmMizHQyTysHEMP2l12glgAl5JHrt3or7b98kqGFMrXoYW6teimrZdf0Ofjp4DPFZhZn8o+vXxZj64iuw6ppovY8vZh8+nfAWfXGv/64byjrIk/qnaw0EJrFZsuOAj8qjRNktrvXKa9VAWbHPBysPCANTh7jWwdD2yetgNx3P7BAezxybpDqe6b98e4K3JPHabs/RzjpKum5KrT2+W1Vyvk7zcnAqaxwXNgXJdq30i0BNFWs7Ye62UcnulfCPn/D62RujHN8knkRsjAkB0cY7f/MYE5E/5AhM/D8uRT09wMR7vy2cUgETiheheJBff/0VLVpo0tFz584Na2trBhl2dnY6s3I+ffqEypUr45dffkk1K4dkDRw4kGfliLS7LN04mMiiVtmFKgFM1A/JvB9fq5+m5ClJrJTv9xzC/of3BXra2FMTC6KvEstOFlYxbVbGCUt6C2NI9J0j8bir9wMQ/jkaBb6xRekiKk/RzfuPMWbpYa1aKXRMs3myqmQ9NX09Jom9JYnXsdCtHfOaJAcm3lNHaKUIJx7LUn9HbdBSB0v7He1sDBWhVTEhFKUGJkaZmAJ0777A9KFrWE0TBl0tymPgr61RuKgQvCgrx//WcxSgrBzX6hxKJBiBwOTRx6WoqweYXNhvixKpgAmlB2/evFmwIgpa7dq1Kx4/fszSfAMCVD+PKF2Y4kfUWThUo4QCXtWNPCp9+vRh/w0PD2c1Tk6dOsX+T7VRli1bhvz580vQgPiuPMYkFV1xMBG/mZTUU0lgoq9e2q3dgPtvNN6WWoUdsalXd33FsXGXngSi31phim/NYo7wGJByiq/UicM+RWHYnP/h4XPNMzSu5oR5ozvg7y3HsfnkTYHI5RO7oUZpVRAujR88739aMSYF8thi6+S+KVaXTQ5M1g5WpQCPXr+PFVRL3Ci25MK0kck+4qS+K3Dr8hOt9ynLZsflqVLVorP/8mm7sWftGa33Jq8YgHotVcWx5GzuDWcg+CuUqOdp1bMWxs1UFdfizTgaIDB5+GEZarcLlyzw4gEblMo1PNWjHDGC6fiGglqTBtLS2NjYWJZCTJk7amBJLJOOhKKjo2UrrKaei4NJKpbkYCJmqyuvT0YAE9IqpfeqmzprxlBtp5XHZPMxX/yzRfUbVuK2cZobth2/jH0+mtRT9fuJwYReIzjZ732H/W2bwwrtkhz36NIFFU37bpU2fFHdF88fBzGPCAW+jvHYi/BIzZ02k9o1hnuD5G9sbl3mJ51qP3xfmKmir32Obb/EYkeoVa5TQivwVV+ZqY2j+fo1+kPQrWy1ovhnx9jUhvP3JWiAwOTBh+Wo5aqqzCqlXTpgjdK5hxkFTKTMm159OZikonkOJum1NQ2bN6OAiWFa0D36511Hsee6dmVXijGp9a308vYprW/lHh+s2usj6DJ3dHs8ePYCqw6p4jUSt02T3VC6cPKBwWL1QWXmT7Ay88EoUzAfRraoq1UwLfRzFCtBHxYZyd5PLTVYl8ckh0027Lwi3WMS/jECxzzO4MbpOyhQzB712tdE5caGFUUTq5ek/Vh8S5VfkwUTimN5fFtV9r54hSL86EZfRQMgMLn3YTlqun6SLOXKgRwow8FEst4y7AAOJqZp2qRgEhgWgrU3r+Luu2CU+yYfvqtUHY62ui+5Ms0nlrbq3dfu4MWHUDaoedkSLPCVCsKJjYERM1tyYLL8x27IlQ0Yu+wIXr3XZCi41i2HqQNU6YhKa7piTL6f2Q3OnaVfxjeh+TTcPHNP6xHnHZ8sK5ywGil3X6gAo1wh5C+cJ2H+4W3m4cn9l1rr6Ty4IZq3rY6JbWcjIkT1RUoF1SYuG4T6rsl7lpRmNyWth8Dk7vsVqO76WfKyrh7MjnK5h3KPiWTNZdABHExM07CJwSQ0OgoNN65AWLTmUjpbSyucdRsKO0vx5eFNUxOpr3rNDe205u8qV8fvDVSFlAxpL9+GovdkD0R81hyZUADs/nmDE+qYXHkQgPBPUXDIa5eqp0R9nGPImgwZS8GhBCjUKtUqrldWjv/1pxhWU3gs5Ny3ESatGWHI8pId633kJqYP1r4fafKqQajXqhIbQ8c5y6fvgf+9F7C2zY46LcqhXf86WDBiA3wOXUM8zGCWzRJmFllhaZUVY+b2gnPXWrKsNSMLJTC5834lqrlqp4WLeWbfg9lQPvcQDiZilKWEPild4Zx0fXRREV0J7eDgAPMkBYqSexYOJkqwsvQ1JAaTHQ9uY5LXYYGQ3+o1xYBKNaQLz0AjyEviuk27bD493l/NW6FrmQoGPynByYFzqi9zG4oRaaBKCRZTx0Q9+WZPX/yzVROr0su5Gr7vmX41RwxRyo3TdzGxxXSBiEqNymL+iSmGiE527HCX2XhyT9sjQl6TpUd/1DlGnS7cs9j37H0z6xww+3p/inpAn3Et0Xe8qjw5b+I0QGBy6/0qVG0rHUyuH8yGCnkGczARp+r065XaFc5JV0ZpUOorm/PkycOKz1DOd2qNg0lqGlLm+4nB5N8r57HwirA0/Jga9TCuRn1lPkAarWrH/duYdOKIYLYxNethXCr1VgxZolgwefA8GG7ThGW3l//QDdXLJF/W35C1yTmW4ks62WuKpqnn6vt7F7hPNm5WlFp2q8JjdD7SkYCFKYLJL67/sAv7zHPnEvRjqcz/Gy2nqjKcbAKTm+/+Q+W2Gs+t2Ie8ccgKlfIM4mAiVmHp1S+lK5x1rWnBggWsnG7RokVBZXnplsQdO3awojIpNQ4m6WVhw+ZNDCYXXgag976tAoHLW3aEy7clDZtIgaMDQ0Ox0McbL0JCWfn6ftWqoU5h3V/ixx4/wrDDmvsx1I+jFDBJ6i1Rr29w+7oY0sGwQnPpZTqP6duxYcbOhOnzFcmLFVfnwCaXtd5L8r8dAKcK2jb2mLUHnlvOI/jtZ5hl0S5hn69QbnhcmJYimBxYfhobZ+/VCSZsvLc8Hh69laDwgQQmN96tRqW2mqNNsUu+ecgSlfMM5GAiVmHp0U9Xed3EVziLWVPDhg3Ru3dvDB8+nIOJGIWZWJ+kwa8TTx7Croeae2s6lyqPec3aGP2p6GhkwWVvVlLe0c6Ogc/YmilXejXmIqjabLsNHngRqgpsVbeN3brrhBPq39CD4m+0f1ge6JFy2XxD1yzWY7L//B1MX3NUMJ0pgwk9zKunb1jVVmqGZORM7bcMPkdU9WDofh23iW3ReWhznD/gi2lui1V6s8wKcyvtWKo+41uh7/e693/iyq/HNp7F0hn7EBmpKn+vbqxc/n+DDN0GmWo8gcm1d6tRsY22LsUo4fahrKjyDQcTMbpKtz6pXeGc2sKePn0KZ2dnrdsSkxvDPSapaVOZ7+tKF6bMnMCwUDja2smWkdPQYyVehGtDAfM+SICT4/f9sOj0Bdx//QaFctqhc5XyGNW4jihFXwgIgNv2/wn6jq5bF2Pr6gYkgql/L3kjNEp19j2uVv0Ubz8WtZBUOokFExZAO1U7gJZE750zCAXzpu3tv8Z47mObzyM48B0T5dyzHvIXyau32F0rTmDF5B2C8R6X/8CupUexe/lxzXvkMcmSBYiNg3OPOvhhqfA4Sd05aUn6mz5+mDr4v4S7fMhbMnfbaK3MHr0fIhMNJDDxfbcG5dvESH7qO4csUO2bAdxjIllzaTggtSucU1oKldbt2bMnbG1tQVdGZ6EP69c2ceJEwVC6BvrSpUuC1+Pi4kB/LOgKct4Up4GYmBgW4Cw2yNkYD/AyIgzt9gmhoFq+AljVvK2oKcKiotFp3Q6EJ/Fg/Na8PlzLpX7sdCUoCMOPCAN9XUuUxJSGDUWtIS06UfVIXZUldc19wy8Iu87eTcju6etSBZVLOKTFMo06x7xh63Dla1aPWvDvG4ehfB0nnfPcufQYRzb6ICI0EtZ22VC0ZH58CvmEHLbZULZ2cVw5eR+HPYSxU7+vH4S7Po+wY4HwvqD46C9svik7ky+eFh8fD/r8ZM2aVWtdT++/AlW7tS8kjDkxqqIUKIzumzG0EZhcfbsW5drEShZ193AWVP/mOw4mkjWXhgNSu8I5uaVQVs7IkSNZyV26UyDpZrtx44ZgKN0xQFc8J230g5U+vDly5EjDJ+dTidUAAaiVlZXgh6vY8fr0I49Mi23rBUNrOhTChraamz5Tkn3p2QsM3LJH0KVPjUr4qUXqYEHxJS4ewjX81LAh3CtX0eexZBnz4cMHwedPlokUIjQ85BN6lRH+4lO7ZSX8tk5zP4l6uY/vvMDYtvO0Vk/AgMgomH19tXbbarjoeVvwhH9uG4WIjxH4s/9y4fjoL+gwvAWGzO6drGaoLDld6ka/vPGm0oBYiE5JXwQml9+uQ9nW0sHk/uEsqJFXddNvZmgmWfk1tSucdRkuNDQUI0aMYB+41atXi/6hyI9yTPNjkF6VXw09yrn4NBDuHsK7bNxrV8WvLcWlyK71vYo/v162Rdar5eiIzd17KMqQYo9yFLVoAxZz49wDTOowVyChYr1SmLdfmB24Yd5BbPz7kKB/fFQUzOLiEW9mBps8NogI087wyOeYB8tO/gqbnDlAwa/b/jmEL9ExiI+LB2JjYBYfj2U+f6Z4I3Fytwsb8Ph86NfKr5ferkfp1nGS9fHgsDlq5e3HwUSy5tJ4QEpXOIeFhcHNzQ1DhgxB27ZtGYxQejB5OBYtWpRweREd41BNk5QaB5M0NqyRpksvMKF4jaGH9iTEmXQuXR6TGzRj2TFiWmhkFJou+A/hUdrBqLPau7BYEymN4k3K5csnem4psg3tm9nAhPTV8hthsCjFmUxcMkCgzmTBJPoLgwuos2ziwSAlf+Fv4FTBEcNndEf+It9oydu16AjCQ1T3s7j0bYQCRe1TNB8HE0N3t+7x5DG5+MYDpVrHS57g4REz1M7rzsFEsubSeEBKVzjTl1LNmjWhvraZblOkLJykjeqZXLx4kYNJGtsuLaZLLzAxxrOpgl99cP/1WxTMacuAZHRj00yNTU4fmRFMlv2yFXtWaAJSc9hmx/IzU3QGwB7bdgHzx28QqC8+MopBiZmZ+kBH1cXSygLdB6k8as79GqNAMf3vG+JgYoxPsVAGgYnPmw0oqUddOr8jQJ28fTmYyGMa40tN6QpnY8zGPSbG0GLayzBlMEl7baX9jJkRTEjL/reew/9WAIMRp4qF2ZFLcm3qdyvgc1SVCszalxggJgbIqjvgPu6t6mZiahseL5EMJ3Sh362L/nh4OwAORXPBpXPGguG03+XaMxKYeL/ZAKdW2lApZl3+R+JRz56DiRhdZYo+HExM08wcTJRtt8wKJlKtsmvRYSz7eQvMYmJBUa90bJMlR3bEfb1SQ/0VFx8Tg/iPmjT1vpO7wX1qd9HTEZSMdP0bdB+QulWq7YS/Nqdc50n0BLwju134fPBGFG+lXexOjGoeH41DfXs37jERo6zM0IeDiWlamYOJsu3GwUScfaiE/dxBK+Bz4CobkLvQN4izskToB9WNv5SpEx8bC4SGA180hbs6jWmDEf9+J24SALvXnsGKP/YJ+v+1aTgqJZPOLFo478g0QGByNngTvm2lKVEhVjVPj8aigX0fDiZiFZbR+3EwMU0LczBRtt04mOhnn6n9l2sf7xCcxMYg/q3G00GSh//dH53H6a6d8zrgHTy3X8JNn0coXr4QnLvVZrcmb1roKVjU93N6wKVrTf0Wy0dpaYDA5EzwZhRtKR1Mnh2NRaN8vTmY8D2l0gAHE9PcCRxMlG03Dib62advzd8QHKiJJVFLiXutKm9Pjd29c32ezrt3wkM+o1/dKYgI/ZzQn0rZO/eqhz3rznGPiX5mETWKwOR08BYUaSm9KOfzozFonK8XBxNRms4EnTiYmKaROZgo224cTMTbh4JlH98JgLVdDmxfcQJ3L/kLBi89PAmvngYzGKncRHda+fk9l7D+zz14HhQmGN91RAsc+t/lhLLz1OHbMg5YdnCC+IXynilqgMDE6/VWFG6pXVFXjNoCjn1B03w9OZiIUVZm6MPBxDStzMFE2XbjYCLOPruWH8eK3zTXHGTNbokvMdoFupy718HEBSlXBCVo6Vt8JMxy5IB5LuEdQ33Gt0anwU3hfew2ggLewi5PdnTqJ66gn7gn4b0ITE6+3opCLpaSlfHiWDSa5edgIllxGXUABxPTtCwHE2XbjYOJOPu0zDtE0NGpchHkK5wXlElTr1VluPSok2LaMQnwmPo/bJi+HbCwQJZ8wosDv/+7D1y6qy6K5HVMxNlGai8CkxOvt6Ggi7hii4nlvzwWheb5e3CPiVSlZ9T+HExM07IcTJRtNw4mqdvn9fN3cK/2s6AjK2O/T3jvTkoSE8AEgJmdLcxtrBO6V6xTAnN3aC71IzC5eOo2nt1/y/pUrFUclDrMm2EaIDDxfPU/OLhkkywoyDMSzvm7czCRrLkMOoCDiWkaloOJsu3GwUScfXR5TPQBkxun7mBis6maSc3NYZbFAr9sGYsmnWtpLcbj3yPYsuSE1mvfz+4O5y48O0ec1XT3IjA59mo78usBJq89I+GSvxsHE0MMkJHGcjAxTWtyMFG23TiYiLPPsl+2Yc9KbUj4a88EVG5QWpyARL0Se00okJYKsOlKKe7X+E8Ev/yoJb942YJYsm+85Dn5AI0GCEyOvtqBfM7ZJasl2PMzWhboysFEsuYy6AAOJqZpWA4myrYbBxPx9jm2xRuvn6uOVeq1qcpK2cvZWpf8Qaf4w4+EtyPLuY6MJpvA5HDQTtg7J38NQXLP/Ob4J7Qu0IWDSUbbFPo+DwcTfTWXvuM4mKSv/lObnYNJahpKv/d1eUwodXjp/u/Tb1EZYGYCk0NBO5G3hSa+R+xjvT0egTYOHEzE6ivD9+NgYpom5mCibLtxMFGufc4cvo5ZYzZpLfD3pf1Qz7mCchdtAisjMDkYtAvf6AEm745HoK1DZ+4xMQE7p8kSOZjIr+bA0BCsu+6Lu2+CUc4+H/pXqQZHu5wGTZyZwOTFh1C8DAmFjZUVyjrYG6S3tBrMwSStNC19HsrKefwgAM8fvGODKSMnv2Me6YL4CC0NEJgceLkLeVrYSNbM+xPhcOVgIllvGXaAqYLJ8RcPMPvaMbyICIFtViv0K10bI8s3UpydCEpcN3sgLDoqYW22llY4890Q2FlJy/cnsFl0wYcBToEc1qjtWBjfN2iouGc25oIWn/TBUq8LCSJrfuuIRb3bwy6bNN0Zc01iZHEwEaOl9OnD65jIo3cCk/0vdyN3c1vJE3w4EYZ2BTtxj4lkzWXQAaYIJi8iPqLFgcUCiyxq0A0tCkmP5pfTtGuvX8UfZ7wEU8xp0Qpdy0lzHTdavQovwzRXv5PQOS6t0KWc7hLdcj6XvrLvvguGnaUVHG1T9xjdC3qDLks3Cqb6qXVjuNerpu8S0mQcB5M0UbNek3Aw0UttqQ4iMNn3Yg9y6gEmISfD0L5gRw4mqWo5k3QwRTAhb8noc9sFFiKPyagKxvGaXHz9DJeCnyM0OhJlc+dH5+KV9NoRCy56Y+FFb8HYMbXrYWzteqJlkpek/aYNgv4tijthefuOouWkV8cLQQEY6rkboV89R+Xy5MMK544pAsqlJ4Hov0Zo5xFN62BUs7rp9Sii5uVgIkpN6dKJg4k8aicw2ftiD+yaCa8ESG3G0JOh6FCIg0lqeso073MwEZp65+Ob+MnngNYb/UrXxG81nCXvi2P+jzD84F7BuP293Fm8idh2ITAAbjs0d4qox9Uq5IjN3XqIFZNu/SqtX4CwL9Fa83cpWR7zGrdJdk0cTNLNXBl6Yg4m8piXwGRP4F7Y6gEmYV6h6FioA/eYyGMa05NqimBCRzkdj65C+BdN3AZpfn3TvqiVr6jBRujjuZF5S5K2R31+0Uv2D56HsevenYSxncuWx1zn1pJlVVm6COHR2l/u8fHxMIMZbK2s8FvjpuhSXnnHOuQlqeyxUPC8tQsUxlbXninqocW8//AyRPu22J0j3BQfBMs9JpK3d5oN4GAij6oJTHYH7oNN09SPaZOuINwrBJ0c23Mwkcc0pifVFMGEtEzHOR4PLuLym+conSsfOn1bGf1K1TaKAdod/A/3PwYbDUxIEAXBBoaGwtHOTu+MHE9/P8w45aWJM4kXPu6pgYPZHEpr3/4nLF4lBkxCI6Pg4e0L8p5QRk7HquUVDyWkew4mStuBmvVwMJHHNgQmuwL3wbppLskTRHh9RGcOJpL1lmEHmCqYyGmQYae340TgI60pbLJa4Vr3CXJOK0n2HK+TWHX9mmAMC4ZVoNek54GtuPgqQGu9v9dpigEVakh6blPpzMFEuZbiYCKPbQhMdgbsRw49wOTTqY/o4tiOe0zkMY3pSeVgIrQZBb4OO71D66hodl1XdNEzAFaOXZEcmCxr1wHOJUrIMaVBMuk4Z83tK7jwUgUnXUtVYH8yauNgolzLcjCRxzYEJjsC9iN7k9ySJ/h86gO6FuZgIllxGXUABxOVZQMjQjDL91hC1kg3p8rIn111JFLIJhccraWfm8q5Z47fv4dhhw9pe3UsLXGgbz9FHuXIqQslyuZgokSrqNbEwUQe2xCY/O/5AWRrIr1YXeTp9+he2JV7TOQxjelJ5WAChH6JRLO9ixGWJJjWo7kbahshmFaOXUGVX72DgrDx9k0EhoTCMacdxtSthzqO8l6AJsezZESZHEyUa1UOJvLYhsBk2/ODsGosHUyiTr9HjyJtOZjIYxrTk5oRwIRqjex+covVHLGzzAZK7ZXSLgY/wX+Q7AAAIABJREFUg/sJYSGvURUaYnRF49RFkbIeMX0zU0l6MfpQWh8OJkqziGY9HEzksQ2BydZnB2HZ+BvJE0SfeYeeHEwk6y3DDjB1MCEYabp3iZa3gwqi7W09ULTNkgMT99I18Ws1F9Fy0rJjamByMSAAZmZmKMiygJSXpZOWukqPuTiYpIfWxc3JwUScnqT2IjDZ8uwQsjaSDiZfzrxDr6JtuMdEqtIzan9TB5OFt85i8a2zAvNsaN4HtfOLq2lC8SXN9wlL3M+q3U7viq9y75fkwIRSkt22bcOLUFXpeqpv8mtT8fVNqJDbj55HEsY7O5XAHOdWku/1kfv5lS6fg4lyLcTBRB7bEJhsfnYYFo3ySp4g5sxb9C7aWjSYxMTEwMLCQjBPXFwcgoODkTNnTmTPnl3yOsLCwlgMUp480o+jpExmFk8VqHhLVgMZFUyWNOoKZ8dSoi2/7sElLLp1JiETp3mhUljaqJvo8WndMTkwGbZnD074+2sth+DEd9QoUUusskxYxG107boYW0d8+XxRE2XwThxMlGtgDiby2IbAZNPTw8jSSPoN4LFn36CPSDB5/vw5mjdvjlOnTqFQoUIJD3P27FlMnDgR79+/Z6+5ubnh999/h7m5Oft/69at4efnp/XwY8aMwejRoxEREYEJEybgxIkT7P0qVapg6dKlsLeX/ixitMvBJBUtmTqYrLt/CTN9jwueUorHJPHgex9es7txlN50gQndpzN8/x4WDGsWB1YRVt2ujhqVqteD3cezWXgfDyt731X5Ze+VZDMOJkqyhvZaOJjIYxsCk41Pj8C8ofQv87izb+BWrFWqHpNu3brh+vXr7AESg8mbN29Qr149DBs2jP0JDAyEq6srZs+ejS5duiSASbt27dCmjeYaDPKs5M6dGytWrMC2bduwZcsW5MiRA4MGDYKTkxNmzpwpi7I4mGRwMKEYk/aH/8PLCM2tu80dS2KZnt4OytChtOHjgQ9Y3ErzQqXxSzVnFLKWXs1Qlh39VWhSMGGXBV7SvizQLMaMAQq1RxNSLw5Hx0BN1q4SLJuDiXRLcjCRrrO0GsHBRB5NE5hseHIEZg3F3wGmXkn8uWD0FQEm9LkKCgoCAUpiMDl+/DiGDx+OK1eusGMcagQVz549Y9BBjTwmAwYMYGOTtg4dOjBgGTp0KHvr8OHDIG/Kw4cPWayesRsHkwwOJvR4BCfk6bgY/By18xURHVuiSzU/XdyHPU9uar1F9+94NOtr7L1pkLykYOK0aJ5QXjxg/sUMzZ2csLyjuBuIXTd54P7bN1qyKMakSznl3cFjkAJlHszBRGYFGyCeg4kBykthKIGJx5OjiG8gHUzMzgWjT5EW6NOnj9YMlpaWghlfvXqFhg0baoHJmTNnMHDgQPj6+sLW1paN2bhxIzZt2sQgQw0mNjY2KFGiBAoWLIj27dujaFFVHCId3cyaNYvBC7U7d+6gY8eOWqBjTK1xMMkEYGLMDdPhyEo80HFPzv2evxlzGoNliQGTXFbZMKp6XXxXvbro+chr8sfpk+xeHzsrK9R2LMzjS0RrT9ORg4keSkujIRxM5FE0gcn6x8cQ10D6Ubj5+deIOOwHCj5N3AgQkjZdYBISEgIXFxeUKlUKvXv3Bv2fwCQ2NjYBTBYuXMjiTSjslDws5E3Zu3cvihQpwsatXLkSTZs2ZdNRLApByunTpxnEGLtxMOFgImlPZSQwqZAvP/b2UJanR5IxTLgzBxPlGo+DiTy2ITBZ9/gYYusXkDxBlvOv0L+4S6oxJiRYF5jQ60+fPmXHNvQ3BcUS1BB0qI9yEi8qOjqaBdD269ePxZOQx4TiUVq1asU9JpKtJ8MAUw9+NbZKdB3l1LQvgg3N3Y09lUHyRMWYfDHDmDp1MaYez6gxSNl6DOZgoofSjDzE/95LbFp0HD7H7yB/odxw7lwDfUa34CXpjaxntTgCk7WPPRGjB5hYnH+F74o7GwQmiR+LsmwINn799Vf0799f5xN37tyZeUgoK4fHmMi0KfQVm5nBxDPgIdbdu4zI2BhYmJmjc4mKqO9QDItvn2HBr+FfotCsUCmMrtBYcZk6urJyZp0+hdW+VwHEA7GarJy97n1RLp/0c19991TicXR534xLJ3Ds+UN2D1GVvA4on8sBTjnzoEvpCrCztDLGNIqTwcEk/U3SpdoUfAqP1FrI97O7oUm7yuzIQO5aFemvgbRdAYHJGn9PfKnvIHnirN5BGCACTMjbRcGv5O3w9PRknpGsWbOy+d69ewc7Ozv29z///MNiUE6ePAlra2t2bEOpwBTg+s033+DQoUMstXjz5s2oWbOmVlYO9ad4FZ6VI9mMxhuQWcHkwuvncDu2ib7CkTjouqC1HTa7uCnu0r6kFtcFJpMOH8FuHWeyG3t0R+3C6XOHzvRLJ7D27hXt5ccDZtHmsLW0wsGu/eBoq6wLEo3x6eJgYgwt6i/j5kV//Nh3pUBAnebl8MvC3hxM9FdtsiMJTFb7H0d0PekxGZbeLzHQqUWqHhPygpA3RN0ILi9evMj+O3/+fCxfvpz9u1GjRvjzzz9RoIDqWInAhOqa0DGQuv3yyy/47rvv2H/Dw8Mxfvx4BjPUKlasiGXLliF/funxMmJUy2NMUtFSZgWTBTfOYtHNc+RWELTOxSvir3quYvZXuvXRBSYLvb2xyNtHsKb0BJOehzfj4usAwZrMolRFj/pXrI7J9Zqlmx7lmpiDiVyaFSeXg4k4PRmzF4HJf34nEKUHmFj5vMQgp+apgklK6/306RPevn0LBweHBC9K4v4U9ErF1whsKKBVV+VYCpql+BO5Cqup18PBhIOJTg3MuOyJdfevaHlL1B1r5SuCzS7aaWvG/AAbQ5bOAmvBwejgoV0gje7KOT1ksDGm1EtGamBSy6EwtrbvqZdsJQ/iYJK+1gkP/Yx+TWbzo5w0NAOBySq/E4isq6nGKnb6bD4vMLiEYWAidi4l9ONgwsFEpwZ2+t/EpPMHYGZOLpP4BECJjzdDC8eSWN6kqxL2b7JrSK4k/d3gYBz38wP9Tcc3XSpUSLXiq5wPqvMoh6rSfuEeEzn1zmUDFPw6/8f/4cn9IOSwyQbnztUx7Lf2PPhVps1BYLLykZ5gcuEFhnAwkckyJig2sx7lkKkITHY/uwELi6/lUQlR4oElDXqieaGSirZmarcLK2XxFPA6/eJxHHv+SHUDdKwZ+2MWD9haWuJg1/48xkQpxsok6+DpwvIYWgUmJ/G5jnSPSXYCk5LNDDrKkeep5JHKPSbcY5KsBqj8fO3dcwXvjyzfCKPKN5ZnRxpJqqmASdLHvfAyABdePmcw4vJtSZ6VY6T9wMWI1wAHE/G6ktKTgclDAhNHKcNY3+wXAzmYSNZaBh6QmT0ml4Kfod8pD4F1a9oXhUdTZdUtSbpIUwWTDPxR0no0HmOiXEtzMJHHNgQmKwhMausHJkNLcY+JPJZRgFS6ZZHuA8iePbuo1WRmMLn38RU6HxNeWtexWCXMqtVBlP7SqxMHk/TSvLh5OZiI01N69OJgIo/WGZg88MInPcAkx6VADC3VlB/lyGOa9JNKedpUWpfK8VKjGxSnTZumM20q8SozIph4PLqAy8HP2GM2L1QGHYtVTtYw7l4euPxG1Vfd1jdxB13cp+TGwUTJ1gE4mCjXPhxM5LENgclyApNa0j0mBCbDSnMwkccy6SiVrnMmT8mcOXNYZTwqt0tgQqV2U2oZDUx+vrQXe5/d0HrkEeUaJxszQnEmu5/cwKXgpyhknQstCpVRPJTQw3EwSccPm4ipOZiIUFI6deFgIo/iGZjc90JELenFHK0vB3Awkccs6SeVisLUqFED27ZtQ7Vq1dhCCEoIUNSV8JJbXUYDk3LbpwsetQbFjDTpl34GkmFmDiYyKNWIIjmYGFGZRhbFwcTICv0qjsBk2f1TeoPJ8NJN+FGOPKZJH6nqK5rPnz+PfF/vRFm3bh12797NrnXOTB4TXWBik9UKlzr+mD7GMWDWwPAQvIgIZRIKWdvB0UZTup2DiQGKTYOhHEzSQMl6TsHBRE/FpTIsAUxq6ucxGV6Gg4k8lkknqb6+vujRoweuXLmCnDlVX15bt27FkiVLcPbs2YRV/fbbb4IVkpfl8uXLgtdjY2NBJXx1le1Np8cUNW3ns2vxKjJMq29D++KYU0XZJeaTPpxX0FNMueaF8C/R7C2brJaYVrUpmjoUY/+nH65ZsmSBubmqUBlvytJAVFQUrKwy5gWFytK09NXExcUhJiYGlpaW0gdn0BG5cuUy+MkYmNw7hfCaRSTLsrnyHBxMJKtN2QPUHhNvb++EGv+6PCYXLlwQPEjfvn1x+/Ztwet0XwB9eHPkyKHsh0+yupNBDzHl+iF2MzC1gjlyYn7NTiiTU57LmORSTscjm/Dg4xst8WVy22N3S1WpfLrvgX6wqm/WlGsdXK5+GiCPljF+2Os3Ox+Vkgbol67Pnz+zmDzeVBowBkQTmCwlMKmhH5iMKMs9JhlqP+qKMZk6dSq7STGzxZioDXvpjSo7qZa9ysNgaq34+jk6l/y4n+pIyhSOcv65dh47H91CYHgo6hQojN/rNEf5PPm0nuvuu2CERUehkI2d3hVgKYD5wcfXKJ0rP+yyZlOEqflRjiLMoHMR/ChHHtswMLl7GmF6gInt1ecYUbYxjzGRxzTpJ7V///6ws7PL9Fk56WcB487ccMeyhPgStWSKMznbdbhJgMn2R7fww9nDWkqxs7TCue7DWLVXKlU/9NhuXAjS3Dw8tlo9jKteX5IiZ10/io1+qmvPqfUtWRs/VW4pSYYcnTmYyKFV48jkYGIcPSaVQmCyhMCkuvRSCwQmI8s14mAij2nST+rjx49ZHZOAANUPekoXnjFjRqrnqBktKyf9LGDcmf+9fg4Lb5zXEjqmcn2Mq9LAJMBkwplD2OknPCLc0ron6joUwZpbVzDjgpdAaWd7DhHtObn/8RW6HF8pkLG2sXu6e8o4mBj382BMaRxMjKlNjSwGJnf0BBNfDibyWEUhUun4hs5OxZ6fcjBRiOF0LIMuvrv7/jV7p1ye/HAporlYUOlHOYOP74Lncz/BU6nBZMix3fB8puN9156o4yAuqp9+OyPXcdJGdWtGlkvfu444mCj3c8XBRB7bqMDkDEKrSfeY2Pk+A91R5u6u7KtAjKU5folfKprkYGKsrZa2cpQOJrqOcmyzWuJ8j+HsKGe6z0msvX1VCC4SwGT30+v47co+gYwfK7vAvWSdtDVIktk4mKSr+lOcnIOJPLYhMFl8W08wufYMozI7mISFhbHiYwUKFGBxGYkblXZfunQpKHhU7H0z8pg5baRyMEkbPRt7FqWDCT0vBb+uuX0ZYV+iUTaPPeY1apsQ/EqxJb0ObNVSC/U51KW/aFVR0KvzwQUIj1FlYFGzsbDCLpehCPkcDc+nfgyCnIuVEH08JHryVDpyMDGWJo0vh4OJ8XVKEtVgElJVesJBTgKTCg0zr8dk06ZNDDrUrXfv3pg0aRKsra3ZS7pqgshjRmVI5WCiDDtIXQWByZPIcFx7/4oNdS5SEoUTFWCTKi89+hOcHHv6CJSZQ8c3AyrWYCAhpVGciceji3gR8ZFdKeBesja8AwIxw0c7fmWFS0e4FNMchUmZQ5++HEz00VrajOFgIo+eCUwW3ToLvcDk+lOMzqxgQhuyZs2aoC9jukPm+vXrrDJquXLlsH79elZ3gIOJatNSnj/pK6lHSZ4tzaVK1cDiK2cx75aP1rAVzTqhZdG0+/KVuua06l9p3QKERasK06lbbYfC2NquZ1otgV/il2aalj4RBxPpOhMzQg0mH6tI95jkIjCpmEk9JhcvXoSbmxurhkrHONSo6ungwYNRvHhxbNiwAQ8ePBBUURVjFFPtwz0myrZcaHQk7n0IZossZJ0zoSx9hQ3/IDzmi/aXb4HC2Na6l7IfKA1W9+3KuTpneTLkhzSYXTUF95ikmaolT8TBRLLKRA1gYHLzLD5W+VZU/8Sdct0gMGmQOY9yqEz77NmzmackcaPKqX369EH58uUxbNgw9u/E5d0la9mEBnAwUa6xLrx6jmFeOxH2tYotrXRZk85wKVIKxdb+JVg41Tk5332Ych8ojVbGPSZppGgTnYaDiTyGIzBZSGBSWT8wGVMpk4LJ6dOnWa2PM2fOwMHBQcs69+7dQ69evdjrBCocTPhRjjwfX/FSh3rtxPGAR1oDbLNa4Xqv8eAek+T1yGqk8BgT8Rstk/XkYCKPwRmY3DiHD3qASe6bT5BpwSQ0NBTVq1fH0KFDMXHiRIF16K6Zfv36sdc5mHAwkefjK15qlS3/aHlL1CP93X/CLJ8TWHFfO92Wx5hodEsBtRRYS8G0FPTqaKu5mVm8BfTvyY9y9Ned3CM5mMijYQKTBQQmlYpLnoDAZGzl+pnzKIe0RQXI6FZWe3t7ncq7dOkSXr58iTZt2qRaNVWy9hU4gB/lKNAoX5fU6+gmXHqtKdmeGEzUWTmngp6xl7uWrGByWTnK1bzhK+NgYrgO5ZLAwUQezarB5L0eYJIns4OJ2iRv377FrVu3ULFiReTNmzfBUnTMQ/+nTJ3M0DiYKNfKa+9dxh+XT2gtsH/ZGvi9ZguTuMRPuZqVf2UcTOTXsb4zcDDRV3MpjyMw+ff6eegFJrceY1xm9pioVfvXX39h586dOH78OGxtbRM0PnPmTJZCfP78eVhYWMhjQQVJ5WCiIGPoWAoFwF58/RyUnVM2T350darIeplCgTVla1be1XEwkVe/hkjnYGKI9pIfmwAmFaUf5eQhMKmSiY9y1GqlS+7q16+PCRMmaGmaLsNr2bIlPD09UayY9HxseUwun1QOJvLpVk7JHEzk1K7hsjmYGK5DuSRwMJFHswxMrp3H+4pOkifIc5vApF7mjTFRa6x169YsjmT06NFaSvT390erVq2wb98+lC1bVrKCTW0ABxNTs5hqvRxMlG03DibKtQ8HE3lskwAmFfQEk6ocTFhWDhVaoxTibNmyJVjqzz//xLp163Dt2jXRN/TKY+a0kcrBJG30bOxZOJgYW6PGlcfBxLj6NKY0DibG1KZGFgMT3/N4rw+Y3HmMcRxMwGqVkNeEGv1NlWAp3iQgIIBVgqX7czJD42BimlbmYKJsu3EwUa59OJjIYxuWlXP1PN6X18NjcvcxxlbjHhNmmbt372L+/Pm4evUqIiIiUKJECVZkjS72ywyBr6QDDibyfEjllsrBRG4NGyafg4lh+pNzNAcTebSbACbl9AST6hxMBJaJi4uDubm5PBZTsFQOJgo2TgpL42CibLtxMFGufTiYyGMbBiZXvPFeHzC554+xHExUhnn//j0OHz6MZ89URaroIj861smZM22rRMqzTcRJ5WAiTk9K68XBRGkW0V4PBxPl2oeDiTy2SQCTsnp4TAhManCPCZ4+fQpnZ2eBhaytrfHff/+hRo0a8lhPYVI5mCjMICKXw8FEpKJ0dNvx6BZmXDiJ0Ogo9i5VzZ3bqI3+AnWM5GBiVHUaVRgHE6OqM0EYA5PL3vigB5jkvs/BhClywIABLCtn27ZtqFChAjvGuXnzJqZNm8bK1tO9OVS6PqM3DiamaWEOJvrZLTA8BA23rRAMntuoNbqWVBWvM0bjYGIMLcojg4OJPHpNAJMy0j0mDExqco8JGjZsiBYtWmDKlClaVjp69ChGjRoF+puOdjJ642BimhYWCyahXyKx79kNhH2JZA/ap0Rt2GXVpMeb5tPrv+oLQc/R69BWgYDvylfH5DrN9RecZCQHE6Op0uiCOJgYXaVMIAOTS974oA+YPOBgwpQ4ZswYdknfvHnztKxE6cLNmjVjqcNFixaVx4IKksrBREHGkLAUsWDS5cRyPAx5nSDZNms2HGk1NtPCSXJgMrZqfYyrVl+CBVLuysHEaKo0uiAOJkZXqTaYlC4heYLcBCa16vLKr0eOHGFVX9esWYNvvvkmQZF0vLNs2TJs2rQJZmZmyJo1K0upzaiNg4lpWlYMmFx+8xQDzq4XPODwso0xomwT03xwA1dNcSUNti5D2JdoLUlb2vREHYciBkrXDOdgYjRVGl0QBxOjqzQBTBZe9MYHfcDkoT/GcDABhg0bhhMntG9u1WUuKrxGsJJRGwcT07SsGDDZ4HcBf908ysEkiQbuvgvGv77nQPEmdpbZ0LVUBaPGl9B0HEyU+7niYCKPbegoh4FJKT08JgQmtbnHhGXlhISEpGohOu7JyHfmcDBJdQsosoMYMEnOYzKpUkv0LVFHkc+VURbFwUS5luRgIo9tGJhc0BNMHkkDk5iYGJ1FUKkeWXBwMCv5kT17dsGDqt/PmzevzvFhYWGg/ZEnTx55lPRVqll8fHy8rDOYuHAOJqZpQDFgQk82xmcrvIIeJDxkqZz5sbZR/0wbY5JW1uZgklaalj4PBxPpOhMzIgFMSurhMSEwqSPOY/L8+XM0b94cp06dQqFChRKWRicbdAce1Sej5ubmht9//z2hcKqXlxfGjx/PqrxTmzFjBnr27Mn+Ta9NmDAh4RSlSpUqWLp0Kezt7cU8uuQ+HExSUVlGBRPf948RHhMJCvasmjvjZVeJBRMyP3lOXnz6iEI5cqGmfTHJHyI+QLoGOJhI11lajeBgIo+mGZj4eOOjHmCSy08cmHTr1g3Xr19nD5AYTN68eYN69eqxEA36ExgYCFdXV8yePRtdunTB58+fUbduXYwdOxZ9+/bFyZMnMXLkSPZ34cKFsWLFClY6ZMuWLciRIwcGDRoEJycnzJw5UxZlcTAxYTDxfe+PV5EfUdLWASVtC4reIJOueeBs8N2E/jR+Sa0hsLUQuvZEC1VYRylgorClZ4rlcDBRrpk5mMhjGxWY+OBjCekek1x+fhhTN3WPCX2ugoKCQICSGEwoi3b48OG4cuVKQuV2ggqq6k7QQd6SIUOG4M6dOywblxoVWCVIcXd3R4cOHdCmTRsMHTqUvUcV4Slz9+HDhywJxtiNg4kJgklYzGf0916AV5EfElbfMF95zK7inur+IE/JyMsrBf3GlnFFz6INUh2vT4fLb59gxQMvXHn3FKXtCqCpQ1kMK91UH1Gix3AwEa2qdOnIwSRd1C5qUg4motQkuRMDE289wcRfHJjQoqgAKtUhSwwmZ86cwcCBA+Hr6wtbW1u29o0bN7LsWoKMrVu3YvXq1fD09Ex4LvKsUK2ySZMmgY5uZs2axa6koUYA07FjRy3QkayQFAZwMDFBMNn27BwWPtgvWPm6umNT9ZxsfXYOC+4fEIwd6NQcg0oIryAwdLNR4bI2nn8jLEZVwEzd/q7VC80KlDVUfLLj5QKT+yGvsPyBF7yC7rNjsPZFqmB46abs37yJ1wAHE/G6SuueHEzk0XgCmDjp4THx90P7gg4MOBK3pk2Fv+DpAhNKZHFxcUGpUqXQu3dvlthCYBIbG8vAhLwmhw4dwt69exPEjxs3DjY2NizWhMatXLkS6vn8/PwYpJw+fRoFC4r31ovVLAcTEwSTf+/vw/bn5wUrX/T/9s4DvMmqi+P/pHuX7gGUvWTJUERRhsoWEQFliewhKuLErSg4URQQcKCggJ8KqICKgIhsRPZeZbSF7r3b7zk3pDRN2uR9kzd50577PDxAcse5//Om+fXce8/tMAHtgqpOd1xZxEQpMKFoyfgdXxnZOqxBJzzb0rb3r5QfRCkwGbxlAU5l3EjIRmNOatoVk5spGwGq7DFdeGILfr54AHE5aegQUg+TmnVFx5D6ln7+HVaPwcRh0psdmMHErESyKhCYfLJ9J9LkgMm5M6iXnITAwECDsZcsWWJkiykwoUp00pYAhP6mTbEU9ahbt654zZKICe1H6dWrlxiPIyayHgHbNVLj5tcvzm7El2f/lAUm1Gjg1jlib4q++Lh6YvVdzymyx6Q6gQlFf+5YP9tI9/bBMfjyjjG2e+gs7Gntxf/wyv41BrUpcrPh3umqj+AwmFjoZAdUYzBRRvQyMGkgI2Jy7gym3W5+jwlZXhmYlJ8VnbKh5ZkXX3wRo0ePNrnHhDK803u8x0SZ58GqXtUIJvG5qXhk50fILrc80sgvEl/f9qRFc6U9Kuuu/IuswlxRf2i9OxSBEuqbvsx7b/wAWUW6m2r15fWbB2JAnZststdcpQXHKWpwUEQNukU2w+TmXRFR6inO6Xt4eJhrbvH7agOTdw9vwLdndxnZ//kdo1UfNWEwsfixs3tFBhNlJBdg8s9OpDWQnik98DyBSSezKenJd7T5lY4L034RioxQdnYqycnJ8Pf3F3/PnTtX7EGhUzc+Pj7IyclBmzZtMHPmTLOncqg+7VfhUznKPCcW9apGMCHDCU7Wx+0Tc/B19UKf6PaKwYVFQlVRaXPCcbx3eD3ic9Ph6+qB4Q1vw+Sm3a3tVrRfG3sAL1eIGkR5B2LlraNtDiY0Xq8/PhTzKF+G07JUK92mMHsWBhN7ql1zxmIwUcbXZWBSXyaY3GEeTCgKos9DQrOgRGi7d+8WE/rggw/w2WefiX/feeedeOutt0CZ2/WFMr3Thld9ee211zB8+HDx36ysLJHjhGCGSqtWrcTVNOHh4YqIxXtMzMiqVjBR5Glwwk6f2LXCIEGafgof3/wgOkc2tmnEhPqmza+0r+OvhBMCsuiE0XOtejtk6cTUUg7Z9H33KSIni5oLR0zU6x0GE2V8I8Bk206k15MOJgEXzmBaF/NgUpXlFBVJSkpCZGRkWRSlYn3aDEsRl7CwsLJjw+Xr0KbZgoICxRKr6cdiMHEiMMkqysW5rCvC4nDPIPGnphd7g4na9CZIWn5mp1gqa+IfjsnNu6F7pHKnnWw1fwYTWylp+34YTGyvKfUowORvmWASaz2YKDMrZXplMHESMDmbdQVvHP4cV/N06YR9XL0wsdFA3Bt5qzJPhpP0ShfxvXf4NwNrKWqwvstkRZZynEQW1ZvJYKJn9BsqAAAgAElEQVReFzGYKOObMjCJkRExITC507qIiTKzUqZXBhMnAZPXD3+OnUmHDawlOPmxyxxlngwn6vWdQxvEXhMRNQgIx6z2AxXZ/OpEkqjeVAYT9bqIwUQZ3xCYfLp1F9LlgMnF03iMwUQZxzhjr2rZYzJ57zs4nxVnJOFv3T52RlkVt1mpPCaKG15DBmAwUa+jGUyU8U0ZmNSVETEhMLmLIybKeMYJe1ULmDzz3zwcTjvLYGLhM8RgYqFQDqrGYOIg4S0YlsHEApFkVBFg8tcupMsFk64MJjJkr55N1AImf8TvxocnvjMQ+e6IW/B0c91xLi6GCjCYqPuJYDBRr38YTJTxjR5MMupIj5j4XzqNxxhMlHGMM/aqFjAh7XYkHcKh1DOg0zkNfaMxsE5XZ5TULjZXZzCJy01FlFctu+io1CAMJkopa32/DCbWa2iqBwEmW3ZBNph044iJMp5RoNfExERx0RBl+TRXcnNzkZKSIs5xa7Vac9XF+2oCE7LnUNpp5BTliVM5rQKlpza2aNLVoFJ1BJN/U87h6X+XI+t6xt/2QfXxXvuR8HN1vgsEGUzU+yFjMFHGNwQm8wlMasuImFw+jakMJso4xpa9xsbGYty4ceJCIiqDBw/G66+/XmniGMpoR5ntqFA2vEGDBonrnM0VNYHJY3vn4Hz2jQ2wBCZz2j5ubgo18v3qCCZdN76O7Aqp/ftGt8NrrR90Oh8zmKjXZQwmyvhGgMlmK8CkO0dMlPGMDXsdM2aMiJS88847IlPdAw88IMBkwIABJkf5+OOPxc2IMTEx2LFjByZOnIgffvhB3A9QVVELmPyZsBtzT3xrZOrsttPQOlA6gdvQFarsqrqBCS3fDPjrPSOt2wXVx/vtR16/+yhPvD+03u2qj6IwmKjyYyOMYjBRxjcMJpbr6pR5TCgtbocOHbBq1Sq0a9dOzJaghABFfxeAOQm6dOmCYcOGYfLkyU4BJt9eWI/vLhgmEiPDh9XrheH1+pibrqT3f7myGXuSD8LH1Ru3BrdBt/BOVbb/L/Usbq7VUNIYSleubmCSWZSH7hvfMAkm2UW5OJ2ZUPaer6sn1nR9VtVwwmCi9CdAfv8MJvK1q6qlHkwyo6X/Iul35TSmcsREGcfYqtczZ86gd+/e2L59u8jpT2Xp0qVYvXo11q5da3YYWv655557sHjxYnTr1s0pwGTN5b+w5MxPRra+1HIcbgtpbXbOllaYd+obbLlqeGPt0Lp98FBMP6MuPjm5Fj9e2lb2+oN1u+CxJqYjVpaOb6t61Q1MSJeJu5dgf8p5A4kejOmEny4a3zA8rlF3jG90t63ktHk/DCY2l9RmHTKY2ExKg44EmGzaBdlg0oOXcpTxjAW97t27F/v37zdZs1atWhgyZIh4f+jQodi3bx8CAgJE3ZUrV2L+/PnYtu3GF6WpTuiWxIceegh+fn5Yvnw5XFxcyqq98Ybxb6TLli0D2VSx0GVHJSUlle5psWCqkqpkF+fhiaMfILckv6xdiFsA3m42FT4uttv8+OjhmUZ21fWMxOuNpxm8fjgzFi+fXGZUd26L8ajvrcyNk1IEo4umyLfl/SulvRrrZhXnY8H5Tbiar7vduHNQY0R6BOD1U6uNzB1RuzNG1r5DjdMQNuXl5cHT03bPrWon6oSG0c+1oqIik5e4OeF0bGJyYKD1l2ISmCwgMImSETGJO40pDCY28aWsTrZu3SoiIaZKcHCw2Buij5jQXpHQ0FBR1ZKICZ3KmTp1qljy+e6770CgU778/fffRsOOHTsWR44cMXqdvvgITiw5DSRLCBON6JjwugQdeHm7eKFbaAf4upo/jSRl/If2TDeq7u3iiS/bzzZ4fdnFTVgeu9n4CzGmO0bW7SFlSEXq0k2a7u7ucHV1VaR/tXR6OisBY/cuMjLnsUY9MaRO1UtwjpwDLcfqf6lwpB08trEC9HONflbSHj4uOgU8PDyslkKAyZ9WgMndHDGx2glKdmBqj8lrr72GhISESveYZGRkYMqUKaAvrC+++MIISiqzVy2bX5XUs3zfE/a8hMR83UWB+nJLcGu80GKSwWv/u/g35p/62cis51oMRe+ojvYyt9JxbLGUczIjHlmFughV++B6Dp9TZQY8s38Z/r52vOztCM9ALL/jcd5jolqPqdswXspRxj96MMmKlB4x8Y0/jSkMJso4xpa9jh49Gv7+/iZP5WRmZmLEiBGYMGEC+vbtK2CEjgdTePKTTz4p+02AwvyU06SqUtPA5Ej6Kcw++hlyinUnPEI9gvDCTZNQ36e2gUwJeSkYu+tDZF/PqUFv+rh64otOTyHCM8iWrpbVl7Vg8t6R9fju/I29Gx2C6+HDjsPg56bO5QfKcXIqIx5N/CPRPqiBLM3s2Yj3mNhTbWljMZhI08vS2gJMNu6CbDC5hyMmlmrtsHrnzp0TeUwuXbokbKDjwm+++aYI39OXUseOHUFRlOHDh4tICp3CqVgon8nu3bsZTEwoQIBCp3IqAkn5qmcy4/DVud+RVZgLXzcvPNqgJxr5RTnsmSg/sDVgQpGSh7YuNJrH0zf1xvAGt6lifs5uhBQw2Zd8HhoNQKeNmvpX/YuEs+uiBvsZTJTxQhmYRMiImCScxhQGE2Uco0SvBB20FqrUemhNi5go4SNH9GkNmNAX4fgdXxmZPax+JzzTUtrR7MzCPHx3fif2JZ1H04AIdI1ojg7B9R0hiarGtARMSLth2z5FfG5ame3jG3fDxCaO38OkKjFtbAyDiY0Fvd4dgcnCP3YhSyaYTL6XIybKeMYJe2UwcUKnASJqRhuT5WxaqwxMJjbpiklNu0sSpO+f7yM+V3eKRl9W3DWlxv/mbwmYLDq1CUtObzHS++fuM5z+riBJD5GdKzOYKCN4GZiEy4iYXD0NBhNl/OKUvSoBJpQQ67vY9TifdUVoUt83GsNi+oj7b7jYRgFrwIQs6PPnB0ZAsa7HU4jytvzYIAHOhB1fGk1oQpNukgGnYicUTfjg6Dr8cvk/8RZFYiY06e40wFMRTGj5jPYrUSZbfZmw83PsT9FdOVG+fNZpLEedbPMxMdkLg4ky4gow+X0XsmWAiQ+BSU+OmCjjGSfsVQkwmXtiGTZf3WOgRvfwWzC92UgnVEidJlsLJvTF/+25HTiZkYCm/hHoFtlc8pd+ZWDycP3bJC8JVVT51QM/4tfrUKJ/r31wfSy+baw6HVLBKj2YUKr9Sbs+L1uuoX0kr7YZhK7hLfD+0XVYeWGn0Xy+7TJVsi+cQhSVGMlgoowjysAkTHrExOcag4kyXnHSXpUAk6H/PFN26kUvC0VLVt7+rpOqpD6zrQUTW8yIogAPb11g1NUMsYm2s1VD9N30PhLK7b3Qd/Zvv1lW9WuvxnowmfHvcvx99cZRZxqf4GTLvS+DwG7Sri8MTGoXVA+LbxtnLzNr5DgMJsq4XYDJb7uQLRdMenHERBnPOGGvSoBJ/62GWVT1svxy1ydOqJB0k/em/Idvzn+PxPxkkSiuT9TdeLBOf+kdVdFCDWBC5n12cjMWn7qxT6JdcD3M7Tjc6mPH1QVMJu6iNPvGyzVruz0t9pEQ3P2VcExEVOgodP/a7azWzqYPWjXsjMFEGacSmHxGYBIqI2KSeBqTGEyUcYwz9qoEmMw6shi7kw9fl6MEWvqXBmgZ0BhjGz6IBr6GOUOcUbfKbCYYmfbvC0Zvv9JyBlr4N7XZVNUCJjShuJxUxOWmiS9UWx13NbWUQ9GEJZ2dI5qgj5hUBiZ7+7xls2eBO5KmAIOJNL0srS3AZIMVYNKbIyaWal3t6ykBJueyLuOjE8txIecyNCg10DDMIwhLbn2z2upK0ZIPThjnCBlUpx8G17nPZvNWE5jYbFLlOqI9MLQHg6IJVNoHN8DrbQc5TTRBDybfnd+OucfXG0h0Z3hzfNB+hBKycZ8WKMBgYoFIMqrowSQnRHrExDvpNCYxmMhQvZo2UQJM9FLNPDgXR9PPGCn3Xef3q+0JHQaTavpBkTit8qdyfrm8H39dPSYS9d0V3gL967RXdTp9iVN1uuoMJsq4TIDJ+l2QDSZ9OGKijGecsNfqDCaZRbn44eI/+C/lrPAMZW19tOE98FPw2HJ1Xco5lHYay8//JnSkjcwD69yF1oHSfzNywo+ILJMtyWMiq2NuZLUCDCZWS2iygzIwCZb+c8E7+TQmMZgo4xhn7FVJMFkRuw4rYw3D2HQ3zed2Wsr5+OTPAkyAUmg1pWJZyd/NGz0jO+CRBvfa/OZivf8parI+bhOOZ5xCjHdt3BXWWWyAtWWx51LO2awrmLrX8EQVwcnXt72qmIa21MoRfTGYOEJ1y8ZkMLFMJ6m1CEwWrduFHJlgMrEvR0ykal5t6ysJJpRojeBkV9JBcaMv3eL7cExfu21+fXDb27ialwatphguGkMX3hvZAc+3eNhp/WpPMFl2fgO+vaCLlpQvr7Qai84hrZ1WQyUNZzBRUl3r+mYwsU6/ylqXgUmQjIhJymkwmCjjF6fsVUkwcbQgvba8IrJtummLjUwJ96yFFbe/5GgTZY+vBjB5qtkw3Bt5q+w5VOeGDCbq9S6DiTK+EWDy607kygATr5QzmNiPIybKeMYJe63OYPLCgaX4J/GYSTDxcfHEL12d98imPcHkj/jd+PDEd0ZP9/yOz6Khb7QTPvXKm8xgorzGckdgMJGrXNXtysCklvSIiVcqg4kyXnHSXqszmJzOjMNbR1YhNvuyuFa+fOkcchNmtRnjpF6z7hI/OZP+7PRPWHN5a1nTiY0GYmCdrnK6qhFtGEzU62YGE2V8Q2Cy+JedyJUJJhP6c8REGc84Ya/VGUz07jiYehbzTq3G+ax48VKbwAZ47qaHEeEZZNZj1/KTsS/5ILKLc1DPpw46BrURbS7lHMS/yWuQX5wFDxdfdA4dgTDPhmb7s1UFe0ZMytucVZTLG14tcCKDiQUiOagKg4kywgsw+XkncmWc1vNKO4MJ9zGYKOMZJ+y1JoCJJW5JzE/C34m6C9UojfydYZ2RmJeMZw8YLvf0ieqOgbXvwpLTowy69dD6YEKTb+Ch9bVkOKvrOApMrDa8hnTAYKJeRzOYKOMbPZjkBUhfyvFMZzBRxitO2iuDCUBQ8sLBN5BTnFvmxRjvOqjtXRdbr+0y8uzUxrdgb9Iqo9d7Rc1Ay8B77fIkMJjYRWZJg5zOoiy1Gni5eMMtwxPh4eGS2nNl+yjAYKKMzgJM1u5EXkAjyQMIMBlwG0aNMvyFT3JHTtJAU1paapgT3UkMt5eZDCbAD5d+xk+XfzGSvLZXXVzIvmL0+vCYZjidscHo9W4RE9E+6AHFXJddlFNmT3FuIZrWaggPDw/FxrN1xwdSN+Fg6iYk5J5HhFd93BX+MOr5tLL1MHbvL7c4G7OPz0RKQVLZ2Hf698SQRjXjh6zdBbdyQAYTKwWspDmByRICE38ZYJJxBuMZTJRxjDP2ymBSOZi0DGiJA6mGV9aTj1+56QH8FveBkbtHNVig2D4TgpIZ/70tbizWl17hd2J8Y3XlYknIS8E353/H1dwUYebtoa3wQJ07cSH7ML4+96KBZp5aHzzR7HN4uvhI/uj8kfA9jmXsRVzuBTTwvQn3hA9GQ9+bJPdjiwZbrm3Aj5eXG3X1fPO3UdsrxhZDcB82VIDBxIZilutKgMkaK8Dkfo6YKOMZJ+yVwQTYEP8nll0wXpqZ1ngCFp35FjnFeWWepT0mo+sPweaEhdifsqbs9XZB96N7xGRJT8DWxO348dIvSMpPBi0dDarTHx2CbjbZx6qLv+L7i+uM3lvYcRbCPIIljatk5Ql73se5rDiDIZ5p/hA8tGew9dpKo6EfafCW5KjJ0fQ9+PrCe4aQ4+KN6U3eQy33MCWnZ7LvRWc/xOH0f43ee6LJi2js28Lu9vCAVSvAYKLME6IHk3w/6RETj8wzGM9gooxjnLFXBhOIEzcvHHwdSfm63/KptK/VFjOaTRXv7U0+iGt5SbgluK04mVO+0OmcOt66kzpSSmz2Jbxw6A2jJh+3m41QjxCj118+/CGOpZ82ev31VtPRMqCJlKEVq0vRkhE7Zhn13zqwIe6LrmUSTIbGzEQz/06SbKJoyZ9X/2fUZmLD1+wSNbmSewF5xTli/Ia+LbAu/kdsiP+JwUSSFx1XWe1gkp63B7HpC5CetxcBnh0R7TcSwd49HCeYhSMLMFm9E/m+MsAk6wzGD+SIiYVSV/9qDCY3fHws4yQIGFr4N0VMBQCx9ZNQ2b6WkfWGonek8b06X577HuvithiZ8f7NM1FfYVstnfuZrCuYtMd4iYvAZFT9Zlh7+WPjL+9mSxDoJm2TqCPB5NPTr+Ns1o3lvUa+LTCg9iOYc3ymwdzC3aLwcivDqI6lOnI9ZRVQM5jkF13Bv/GDUFySaSBC6/CvEOB5i7LCWNk7gcnnP8kHk3EPMJhY6YLq05zBxDG+lAom57Mv4en/3jYwtrl/I8xqPcMxE6hk1AFbZyK73NIXVRtZ/148Ur8X/rr6XVnUxEPrjV5R49G2lvTfBE0u5Wi9Mb2psks5h9P34stzxuA1psEMsYR0MG0faCNssHsoGhQ3Q0xkfVX5ho3RKaBmMEnO2YRjiY8buapuwBTEBE5VtQt1YLID+T4yIibZZ8Fgomr32tc4BhP76q0fTepSDrWjZG9brupyrWgLgftq36O6UzkHU8/glUNflsEJRUveaD3G5knZKGryT+I65JXkINAtBAOiH8VNAcr+Rvlb/P/we8KPRg9Mz4hB6BU52OB1zmPimM+VJaOqGUyuZq3GqWTjO7ycBkx+3IECGWDiTmAyyPKISVFREVxdXU26OykpCb6+vvD09LTkcTCok5mZKcA1KMh88k3JnZdrwMeFzajHYGLN42VdW93m15/F3pa63rXxYJ37Kt38WnEkzmNinfZyWu9J+QsrYj8zavpwzCTcEmSYnp/BRI7C9mmjZjChpZw9V4xzIbUInaf6fSYiYkJg4i09YuKeYzmYXLx4ET169MBff/2F6Ogbd3Vt27YN8+bNA72fn5+Pzp0749133xWQQqV37944c+aMwUP2+OOPY9q0acjOzsaMGTOwadMm8X7btm2xYMEChIaGKvJQMpgwmCjyYDm6UwYT+3uAlmneOPIY8kpuJOLz1HrhlZafwqvCkWcGE/v7x9IR1QwmNAeKmpxNmYPi0iy4aHwR7T9K9cs4ZDeByRc/yAeTsQ+aj5gMHjwYBw4cEK4uDyYUQWnevDmeeOIJTJ06FTk5Obj//vsxZMgQjB8/vgxM+vfvjz59+pQ9KgEBAahVqxYWLVqEVatWYcWKFfD29sa4cePQsGFDvP224fK5pc+YuXoMJgwm5p4Rp3xfDphQhtt/Uw4gpzhHnDqK8anrlHN3pNEEJ1uvrUdKQSKC3ENxS3BX8XfFwmDiSC9VPbbawUS9ylVtmQCT/+1AgZeMiEnuWYwdbB5M6HMVHx8PApTyYEIg0qZNG8yZMweDBg0Shj777LNiuUcPFxQxGTNmjGhbsQwYMEAAy8SJE8VbGzZsAEVTTp06BU3FG2Bt4CAGEwYTGzxG6utCKpjsS/kPH52cbzCREfWGolfkPaCL+fS5Rxr4Rtl8P4j61LOdRfklWfjp4hu4mH1IdFrXpzV6RExEabovp6S3ncw27YnBxKZylnWmB5NCGZeZuuURmHS2KCV9QkICunTpYrSU895772Hx4sUi2tGiRQvMmjULX331lfg3FQITWtZp1KgRoqKicN999yEmRpcAkZZuZs+eLepQOXr0qIi47Nu3DxRVsXVhMGEwsfUzpYr+pILJrKPv4kTGKQPb6bLC51o8j6f/m4/sIt3yhI+rF15rNQZtAqX/1qMKYRQ24mTmcfxyZQ1OZp5AHe+6CHNPR3qBoa4EJ929ZjCYKOwLud0zmMhVrup2Aky+3wG5YNIovBB16xpGcV999VWjQSsDk507d+LJJ58UkLF582YBL3Pnzi0DC9p/otVqQbfU/Pnnn4iNjcXatWvFmE2aNBFQ061bNzEe7UUhSNm6dauAGFsXBhMGE1s/U6roTyqYPLH/OSSXS2evn0SEZ1scSjtrMKeGvtFY2PFpo3nG553Ht+fnIK3wmnjv5lrd0TdqjKyU8qoQUaIRtAT2/MEZyL2eXI2ax3glwk1TYtTT6JCvGUwk6muv6gwmyihNYPIlgYlHQ8kDuOWfRYdmvmI5pnwZOXKkRWCSnp6ODh06YNmyZejUqZOAjkmTJoEOdxCQVCwFBQViA+0jjzwiIiwEM7QM1KtXL1GVIyaSXWjbBnwqx7Z62qs3qWBiKmLi5eKF2GzTR+7+6DbXaCrvH5+AtMJEg9e7hQ9Fj/CH7DVth45D0ZL3T8wxsIHBxKEukTU4g4ks2cw2EmCySj6YjBkqfynn77//xtixY7Fnzx6xmZUKLeN8/PHHZZtlK07ggQceEBESOpXDe0zMute+FRhM7Ku3rUaTCiaV7TFZfn4nruWnGpjl7eKJNXfONniNoiXzTz1lZH49n5swrqFxGnpbzVNN/ZgCE1rK8Xe9cZcS2VvHuxV6eD/NERM1Oa+cLQ4Hk9IM5Ke9gOK8P3VWafzgETgHLp7GGZ9VKqFJs8rAxF1GxKTgLCwBE/IdbX6laMfGjRvFcWE3Nzdcvny5DDIoUpKXlydO4/j7+2PJkiUigkJHgWmDa3BwMNavX4+nn34a3333HTp27GhwKsfHx0dADp/KceDTx2DiQPGtGFoqmNBQulM5/4FuKqbLAulUzjfnf8PyC78bWDKiXk+Mqq8LaepLasE1fHBCt2O9fKlJYJJUkIQ3jryE3OIbx4W1mhJ0CopAXtFVIQvtL7k7chLSErMZTKx4vpVs6mgwKcpeioIMQ/AnOPGO2KfktBXvW4DJyu0okgEmrgXnMOYh8xETWnKhnCP6QonQdu/eLf5LJ2mWLl2KkydPiv/37NkT06dPR0REhACTESNGgPan6MvMmTPx6KOPiv9mZWWJunTSh0qrVq2wcOFCxT7DvMfEzOPIYKL451WRAeSASWWG/BG/BwfTdImHaNPrvZGmM6jW9KUc0ue/1H+x8uK3SClIBi2F3R3eE/dFDzSSlo8LK/LY26RTR4NJXvIIlBTsNZqLZ/A30LrfapM5OqITASYrtqPITXrExLXwHMY8bB5MLJnXtWvXxIZXDw8Pg+q06TUlJUWADW1oNZU5lvaq0P4TpRKr6Q1iMGEwseRZdro6tgQTSydPyzmbE1biXNYRcTdM84Bba8z+Eks10tdjMJGqmP3qOxpM8lOnoDhPl2G0fPEMXQOta3P7CWHjkQhMviIwcZUBJkXn8KiNwMTG01KkOwYTBhNFHixHd+oIMHH0nMuPn1yQiFOZJ8RLTfyaiYvz5JbLubE4lXlc9NHYrzm8XbzldlXWjsHEagkt6iCn4LjIkOruEgUP1xvpyatq7GgwKcr9CQVpLxiYqHGJgleY8e3hFomgkkoCTL6zAkyG2SZiohI5qjSDwYTBxBmeU8k22hNMjmecwMnrOVCa+jdBc/9mku21ZYMDaf9i4ZmPDLqc3OhJtA1sL3mYby4swq7kbWXtvFy8MbPFW1aBDnXGYCLZFZIaFJdk4FTiNGTk3VgSiQ6YgtqBj5ntx9FgQgbSPpOi65tfNVp/uPvPhMaltlnb1VxBDybFLtIjJi7F5/Aog4ma3Wtf23iPiX31ttVo9gKT1ZfXYs3lnw3MHhbzEHpG3mOrqUjuZ/p/k5BTfGMDHHXQ2K8Znm76oqS+KOry8uHpRm36RA5EvyhdWmu5hcFErnKWtUvI+AaxqYZHt6llq8gf4e1e9XKIVDApLL4CF60ftBp/y4yrolZp8WXxrrNDiKkpCjD5djtkg8lwjphY/YBVlw4YTJzTk/YCk0l7HzM4hUJq1fWugzdbv+YQ4eYcm4PzOUdNjr2owzJJNtHyzUen3jJq09i3GaY3Nb56XkrnDCZS1JJeNzZlNhIyjf3dPHwp/D1Nb97Wj2IpmGTn70Fs4mMoKc0UTX08bkHt4Lfh5mLZklH5WZUWHUdByhSUFl+5DibRcA9aAI0T7ymp6DUCk6XLt6NY20CyQ11KzmH0iNstSkkvuXMVNuClHDNOYTBR4VNrgUn2ApNHdo01ac3Xnb6wwErbVknKT8IzB56Bu0uRUce1veri5ZuMIaMqC2hvydvHjKMs3cJ6YnAd44yTUmbDYCJFLel1L6d9iivpC4wa2hJMjl3uiJLSLIMxAn3uR+2gCkd9LTC/IHUySipseNW4RMPDyfeVlJ+6Dkz+QbFGBpiUnmcwseA5qjFVGEyc09X2ApOn9j+L5IJkA5Fon8nMFs/ZXbgTGSfw7ok5oNwhbtoS8beuaHB3eD8MjH5Ysk1zT87C6SzdJloqni5eeLHF27zHRLKS9m1Am14Pxxsut9EG2JtrX09aVoU5lkRMSkozcOyy8dFdH4+OqB/2jeTJ5iW0AypAjnjeIg3vWZLcsYoaCDBZ9g9KZICJlsBkJEdMVOROx5rCYOJY/eWObi8woYRs8059amDm400eQ/ugm+WaLrvdruSdWHJ2ETQohbdboUE/tGn1uWazESTjdM7O5L+RnK9LtX9byJ1WQwn1wxET2W62uCHBSWLWGmQXHBfLN5H+o+CiNb8PxBIwISOOXDLeqyIXTPIT70Np0Q0ALgPh6ggmqG+xD/UVtSAwuYOXciQr56AGiYmJ4qpmLy8vRSxgMFFEVsU7tReY0ERoCeV4xklxjDbGpw5CPEIUn5+pAT459TEOpP0HN20R3F2ML84bHjMRtwbd5RDbKg7KYKJTJD5nP46m/g8FJVnwdYtAu+Ax8HWLdKiPdGASB0/tQhTkrBa2uLg1gzelhXe7ASPnr41Cdr5hIrTIwOcR7PeIZPuLMuehKMsQ8F28BsIt8B3Jfam1gYiYfLMNJbLA5AJGj2IwUatvy+yiFF4wwwMAACAASURBVLp06+GFCxfEa4MHD8brr78u7gWoqlDWOroxMScnR1zpbK4wmJhTSJ3v2xNM1KLAO8dn41TmSZNg4qEpRD3vQGQUXEFdn1boGHw/mvjf5jDTGUyA5PzTWHNBl/JbXwhOBtb7Cu5aP4f5hsAkK+UNaIq/N7BB6xIN//DNZa/Rck5c6mwUFuk2rPp79ZAFJfoOCU5KCnTp0ynDq6vvaMAGJ30cJmSFgQlMvv56G0pKZURMNBfwyCMMJmrxZaV2jBkzRkRK3nnnHXFpEd2ESGBCtyBWVijl7vPPP4+ffvoJLVq0YDBRvZflG1gTwWRjwu9YeXEFXLQl8HQphAtKAE0pXDQlCHbJMRJzeP054u4aJUtc7nnkl+QgwrMevFx8yoZiMAH2J32B/5K/MpK/T515iPRup6RbquybwCQ7eSRQ8p9RvYDIvdBUAgv5RVeQXxyHopJM+Lg1tTihm1UTLc1AXvrbKCrYI7pxdb8FngEzVQk0ZWBSUk/ylLVaApMuvJQjWTk7NqB8/R06dMCqVavQrp3uA0xQQoDy2WefVWoJvffrr7/ivvvuw7p16xhM7Ogzew9VE8AkozABOxOXIaPgKjxcfNDQ/y78GrdbRE183XLhqikVslO0xM8l38gFd4QNQ5ewEYq4Jrc4G0vOvoL4XF1E09PFG/2ixqB9UDfxfwYTaWCSnvsnLqfMQUFxHFw0fgjzH4WIgKmK+E4OmKTkbMLp5BdRXKI7OkylWeg8BHn3UMRGfad5ac+hMHeNwRhuXvfDU4VLQAJMlm5DiVwwGc1goujDZG3nZ86cQe/evbF9+3aEhYWJ7ujWxNWrV1cKG7/99hteffVV8f6WLVuwcuVKBhNrHaHi9jUBTD4/PRyZhdcMvDC43vsI8miMlw+PLnvdEWDyy5UvsSNpnYFtBCevttTl1mAwAY6kfo/d1+YZfYrur/cVgj0al71eUHwFJ+IeQPH1fCH6NxqEzkOA1902/xSKpZzUudAUGR55d3FtBr8w08vfRxIeQUa+4e2/Hq5RaB+90eb2le8wM6G98WkejR/8VHgTsQ5M/kZpsfSIicYlFo8wmCj6LFXZ+d69e7F//36TdWrVqoUhQ4aI94cOHYp9+/aJWxKpEGjMnz8f27bdSJ+t7+TQoUMiBEYPRuvWrbFixQqTYPLee+8Zjbt48WL8+++/Rq8XFRWhpKQE7u7ujhOLR65UAdpL5OLiIv5UxxKffwTrE181mtpNvn3RKXAMXj83ruw9raYYQS65xl+AYS8j2vMmReT5Nn4OLubprlcvX4ZFPIsYr+bIzc1VbMO6IhNSqNPtqW8gLm9XWe9t/Cegic/9BqPlFv2LuCzj6Egtz7EI8hxvc8vo51phYQrc8TVQvB+lpXHQuLQH3KdDozWdPO1Iqun9Si1r7bS5feU71GR3NNl/qY/x7cTWGOLvb/40k7n+BZh89TdKi2LMVTV6X+Mai0cevZOXciQrZ6MGW7duFZEQUyU4OBgTJ06EPmKyY8eOsuuXq4qYvPbaa6LPbt10YeRjx47hyJEjAnKmTZsGPz/dRrPff//daNjHHnsMBDYVC/1WUVxcDE9PTxvNnLuxpQK0uZmg0dTV3bYcx1F9xeUdxs/xxsnPmvp2R7fQJ/H+2aeQVqTLr+KmKYKXpgBu2mJoxGHiUhSVumBI9GuI8VIGTFZe+RCnso1/wXi8/lwEuoUiIyMDtvhh7yj9bTluQUkmUgvOItyzrclucwr34WLaRKP3QnwmIMTb+HVrbaOfa3l5efDxubEnyFyfJ1KGIbfIMOeIi8YXrUP/MtfUqveLs59EaaHhGBq3rnDxMbwryqpBAJtANIHJN1/KB5NRYxhMrPWjou1N7TEh+EhISDC5x4Rgh2BEXw4cOAD6M3r0aEGgVX0A+VSOoq5UrPPqupSTV5KFP+KW4HDaRnhrDXOVkJh3RUxGu6AHcCX3Ar469y5SC5MEmLhrio207h01FreF3KeID46m78byC+8a9F3fpwUmNHpTvMZLOZbLTks5x+MGGmVZVXIpJzMzE0FBQRYbGZfxDS6kGh7trRMwBXUCldkHozeM7tbJTXsexQW6CImLe0d4Bc5R5V07OjDZitJCGRETt4tgMLH4cXRcRYIK+o3L1Kkc+lCNGDECEyZMQN++fY2MrGwpx9RsGEwc52NrRq6uYPLz5bk4lLZJ90MYRfAQURBdqe3dGvfVfR0eWt8y6VIKruFI2t/4M8H43pRHG85CfZ9W1shcZVuCk2Ppe5BacA0tAm4VG1/1J3MYTKTJnpW/B/FpnyIrfx+83JoiyHcgwvxGWdRJZu6fyMzdLI71+nn1QKDv/VVeuGdpgrWKg2fk7UH69duMfdybKb7x1aLJq6iSAJMvCEzqSrZKQ2Ay9i5eypGsnJ0bnDt3TuQxuXTpkhiZjgu/+eabInxPX0odO3YERVGGDx/OYGJn36hhuOoKJp+cfBTphbosrPpCx4Gfav69AZCUfz+vOBtfnp2JhDzdCRkqzfxvwbB60m4btqVfGUxsqWblfRGUXE6aZlDB2+MWxIR9XWkjuWBinxk57ygCTD7fChRIBxO4X8SocQwmTuN9Wr6hfCb0R4nCERMlVFW+z5oEJqTmSy1/NSvq+ezDSMg9jwiv+opGSswa4mRLOZez/8KptJXILoyDj1sUWgaNR5hXe0umWWkd2ldyJn094nP/Eydw6vp2QZBHE6v6NNX4UtJUZOXeSIqmr9Mo6s9KbwFmMLG5G0SHOjD5C8iXASYeBCZdOWKijGucr1cGE+fzGVlcXcGk/FKO3jN1fVpiVP05TuUoZ4mYXMv9F5uvTDLQ1k3ri151v4WPa5RszdfEjkJq/hmD9gNiltocTmKvjUJOhbTxNChFTChyYqrYFUyKjutMcDW+d0e2uCptKMBkCYFJHekWelzCqPEMJtKFq6YtGEyc07HVFUz0m19PZuiOYcb4tMJ9dabDs9y+EmfwmLOAyZGUxTiSssRI0jsi30Ntn66ypE7I3Y8Nlx4zats2eAxuDr5xzFtW5xUaXU17GymZhvuLtBpfNK1d+XFau4BJwW6UpE4B9LlZXKKhDVoGuNS2xbRV2QeByTICkzwZYOJ5CSMZTFTpV4cYxWDiENmtHrS6gonVwqikA2cHk1vDXkF9//6y1KwMTBr590aXiJdl9VlZI7rP5sLVUcgv1OWUISiJqDUTAT4DKx3HHmBScrWdcWI0jx7Q1lpo0/mrqTMBJou3ALkywMTrEkZO6MZLOWpyqCNtYTBxpPryx2Ywka+dPVqqDUyyC04gNn0+knM2gzKWhnj3QN2AKSCI+Cf+GSNJ+tdbK3spJyX/FNbG3sjMq++8fcgktA6y7KSNVB/lFR5HSUkmPN2bVXkih/q1C5gkmNhP494R2qBvpU7NaeoLMFm0BZpc6VGhUq/LGDmRwcRpnK20oQwmSiusTP8MJsroaqte7Q0mSXlnsCfpa5zL/AfuWl808LsDXSKmlp1k2h/3ALKvRxX0cyQwiQmcivLLOW5aH7QMmoCmgcNkS0G3Cq+OHQ0X6O4yolICoF3IJNysEJhIMbYqMEnL/RMXr9/ZQ31GBUwVf6SWkpoMJjkywMSbwUTqM1at6zOYOKd7GUzU7Td7g8lPsU8iLueggShtggahS7hur8e2WOMMuAEeHdA6ovJjtXIVjsv5D79eegIacfuzrpfSUi1a1noQncMel9utzdpVBiaU6O2oiTt76gW/hZAqloZMGVaSOhnI1+Xj0ReN30xofIwjSTabmIM7EhGTzzZDIxdMJnXnpRwH+1A1wzOYqMYVkgxhMJEkl90r2xtMPj2uu46ifAnxaISHGixBUUkGdl4yvutFaTCpaE/74NFoHzLGJr7ILTyOjBzdMWF312jUqnD/TlWDVAYmmfl7cPKqMTiE+Y1E3VovSLO7NAOlOT+hNF93yZ/GaxA0Xg9I68PJahOYLF+4GZpsGRETn8sYMZnBxMlcrpy5DCbKaatkzwwmSqprfd/qAJOGeKjB52Iyey7fjfzieIOJRfmNQMMgiV+4Fkrzw4VHkZJ/1qD2ww1Wwc8t0uC1hOzNOJe+XLzmpvVDg8ARCPY0fXGdviFliT1bASACvHqgXugnFllnFzCxyJLqVakMTLJMX4RY1WxLfa8wmFSvx8G62TCYWKefo1ozmDhKecvGtTeYrDw3DkkVQKBZQE/cHfW8MJg2v55NmY30/H2gy+do82uDoOfhqrX8VtnCkkycz/gFhSVZ8HGLRLRPVwETpkpBSRZOpq9HZmGC2OfSJKC3EZRkFJzA1stDDJq7av1wd90NcKvCrovJLyA1e63RsM2jN8LdxfyXYmVgUlySgUNX7kZxaZZB341C5yHQ626D10pLM1BceEK85uLWDBqN5Tpa9gQ5Xy0BJgs2QSMXTKb04KUc53O7MhYzmCijq9K9MpgorbB1/dsbTGjz6+7EpTiftR3uWp/rm18fqzSNv9TZEZT8eqGfgBJ9CXRvgnvrrpDaVVn9k6kLcCr1M6P2HcM/QoRPdx1QFcUhuzBB/DvQozHctX44c3UUsvP3GbVrGL4UvpUkVStfuarNr7ScE5f2KXIKToglohDfgQivcGdPYcFuZCZPRen1HCUajR/8gufDzf1W2VpUh4Z6MNFmmofDivMt8buCEQwm1eExsM0cGExso6O9e2EwsV7x/JIsHE/7HZdzDsLfLQIN/Dqjtndb6zt2spT0lkz4VNp3OJD0gVHVrtGLEObVwZIujOpUBiZtQ99EHb8BuJS1FTuvvlEGQ5SR9q6od5Gf84PJiEnL2rvgYkEEyNrjwmnXBqC4SBct0Reta11ovQbA0+MWeLibzjgrSyQnaiTAZP4maDOlZwwu8YvDiKkcMXEidytrKoOJsvoq1TuDifXK/hg7HVdyDhl09EDMBzaBE1tFTAieTqb/hoLiLPi5RaBpQC/rJy6jh6Mpi3A0ZbFRy5uCJuCmoIkyegRof8neq08atb2r9vfwd2+GNecHILtIFy3RlzCvm3FX5Ms4GTcQJeWWXMIDpiAiwDjbrCnDrAWT5LimJuebXao7guTm1gyRYWtkaeLMjQSYfPontBkywMQ/DiMeu5uXcpz5AbCl7QwmtlTTfn0xmFindUZhApaeMb6Zu4FvZ/Sr86Z1ndsoYkJQsvzMQ6D9GvoS7NEIQ+rrNrTasygRMSH7jyS/g/PpuqRjrlpfNK01GQ0CRor/f3va9NLI8Ma7QftBcgtPoKDoCrzcm8HLrfK7aPILjyM7dzPcXKPh49UdxUVeyMzMRFBQkCwJU692Q0lxnEHbUpQip1Rb9lp4yNfw8LBsaack9yeUFuxBaUkGtB63Quv9iCy7HN2oDEzSDTc4W2JXSUA8g4klQtWUOgwmzulpBhPr/HY55wB+ip1h1Em0d2sMiplrXec2ApO9SV9hX5JxnpEBdeciyvtmq22U0gHtMdl8eTzSC06XNQtwb4yedVdK6UZS3e/PdkdhSbZBm0D3xugbozvFY0m5mvICMnNuRC+0Gj9EBn+P3Bx/2WCSk/kJcjM/NRi+gDLKXo+Y0BsBflMR4D/NrIkl2UtRnPm2QT2t10C4BLxjtq3aKggw+WQjtGkywCQwHiOm3cMRE7U51VH2MJg4SnnrxmUwsU4/ikYsOjnAqJO2QQ/gznDpmT4rdmSLpRw1gQnNj+DkWu4+pOWfQqhXe9l7Syz13KHkJTicciM65KIpQWvfVvDTFosufL16oFa5jam5RVdwKnUBcot00Yxwr3YozlpgNJy/93C4YopsMKEO83N+Am2CLSw6i9z8wyjSZ5K7Plpo8Kfw8jQ8yWNq3kUpw1FaYHzhoFvEKUtlUk09ASbz/oA2LUKyTSWBCRjx+L0MJpKVq6YNGEyc07EMJtb77Vj67/gz7t2yjvzcwjGswWKbnGSxBZgcSvkftl+bbzRRR0RMrFdbXg/nMn4F3b1DpVbpERTn626d1pdg/6kIvr635O8rg5BZoLvMj4q3phR1XCkZvmHxdO8Ab9ePZYNJXv4e5OXvFRtd3d2b4kp8d5SW7XcphYe2FrQoFqd23NxvgV/AC3CtZKmpMLErUGFZiKx1WjD5+A9oU8MlO7uk1lWMeILBRLJw1bUBg4lzepbBxDZ+o70m9IeKrU7kUF+2ABOK6nx/biyyiq6WTbae7+3oXfst20y+XC9ZRfHYe+2jsv0szQOHoK7vXTYfR0qH6QUnsDvhKeRcj4C0cMs3au7h1gwxEatB0ZLNl3oavO+mKUUDE2BiTcTkytX7UVDuziF3sdH1a2Rnr0ZJSQZKCg+iMP8fAzu0LtEICTdMT6+vUJQ6GaUVUtdD4wu38P1SpFJFXREx+fh3aFNkgEkQgUlPjpiowpMqMILBRAVOkGECg4kM0ezYxBZgQuYSnNDdM5SnJNq7reS9JfSlHpv5CwqKM+HjFoUYv/5GSdEKSjLxS+wjyC4yzAx7b+35iPBqZ0fVDIf6/WJv5JazyRSYaDW+aFR7LyhZ27YrDxrZGuNeC56lSWWvU/3I4P/J2mOSk/snriYb7xsJDXobBEjJyY9BU3IZmgrLOjQ4gQkBSsVSWnQcBCdlURONL1wD34HG4x6H6S53YAEmH/0GbXKY5C5Kgq9hxJO9GEwkK1dNGzCYOKdjGUzU7TdbgYk1syQo2RDbz6ALb9dI9I5ZZ/BaQu5+/HHZeF8NRU06hk63xgTZbWk/y7oLXaBFKdw0uuWYui5FcLt+KaC+Y1+v7ogK0S13/X6hE4oqZG1tHDgZ0Z5NkV94AlqtH3y97kZpSZisUzmpGZ8iLcN4aS3Qf6rYc1JcHAdXTakkMNHPo7Rgt/inhpZ8nDSLrACTub9Bkxwq2e+lwYkYMZ3BRLJw1bUBg4lzepbBRN1+UwOYHEv5DMdTjXOP3Bm1GKHlkqJVBiYN/fvg9vCXHSI0gcmGC3fAV1tUNj4tzQRrAVeUitdcXaIQHfopPK7v30jI2YSD114sg5Mgzw7oED7PKL293DwmlUVMQmq9jIy0N4RNLppSaCtETLQuUQgJ1104WJ2LDkw2QJMUInmapSFJGDG9N0dMJCtXTRswmDinYxlM1O03NYPJbREfIMrnxm3EtL/kp/PGN992DH0CzQMfcpjQmy92BUoSjcZvFfIaAr06w62Se3EKSzKqvGtHLpiUlGYg/toogz0mGo0v6kSuRkL8jRM4lM1Eez1y4uHZHT5+0yrd/OowcRUYWIDJh+uhSZQBJqFJGPFUHwYTBfzilF0ymDil28Bgom6/qQFMTqd/i0Mm0sj3qLMCge6G2UvPZqzDnsS5ZXlD6vh0QbeoGyeWHKH28aSXEJ+12mjomyO+Qi1P+Wnf5YIJGUJwkik2umaKpSE/n4HQavxx7doAFJbbFEt1/fymwt9/Ggryd6Oo8CRc3ZvBvRqnqxdg8gGBSbDkx6U0NBkjZjCYSBauujZgMHFOzzKYqNtvagATWg7ZeoWSot3IiRHj1w8dwnTLDqYKHc0N8miiCnEvZXyD0ynGicZuifoRvu7NZNmYmrcHnpqGyM3WyD4ubGrg4uIrSEt7C4WFJ+DiEg0Pj1sElKQmT0F+3o1lHFe3ZggO/aZa3kYswOT9ddBck55RtzQsBSOe7mtxxKSoqAiurq4mn4GkpCT4+vrC09PT6P2SkhJcu3YNISEhJttTRmACV7lZgS19KDWlpaW6BUkuJhVgMHHOB4PBRN1+UwOY6BVKzNXdxOvm4mcUKVGzikUlGdhz5QHkFd84LRThOwAtQnSZUq/mbBJ5S9y0foj2HQDXKi7wu5jxDU6mlMtZ43ozOtVepuj0KVKSkmScXp7ymvj4Omfa+aoE04HJr9BclQEm4QQm/SwCk4sXL6JHjx7466+/EB1946TTtm3bMG/ePND7+fn56Ny5M959910BKVS2bNmC6dOnIztbl034zTffxEMP6ZYq6bUZM2Zg0ybdse62bdtiwYIFCA2VvpHXkoeKwcSMSgwmljxG6qvDYKI+n5S3SE1gom6lzFtHUY6ikkx4uUaXRUp2x49Gap4OuKi4av1we/QPok7FQjlO/rlsmOOE6jQNehZ1/UeZN0Bmjdycn5CeOtOota/fVPhakK5e5rAOaybA5L1foUmoJdmG0ohUjHjGPJgMHjwYBw4cEP2XBxOKoDRv3hxPPPEEpk6dipycHNx///0YMmQIxo8fj9zcXNx2223i/ZEjR2Lz5s2iHv1dp04dLFq0CKtWrcKKFSvg7e2NcePGoWHDhnj7bcPrAiRPrJIGDCYMJrZ6llTVD4OJqtxhZAyDiXL+ySw4ge0mcpY0CpyMRrWMjz0T2OxLGGNkUKTvALQMsX2yOv1AlUVMqjOYLHv3F2gSAiU7vzQiDSOf7W82YkKfq/j4eBCglAcTApE2bdpgzpw5GDRokBj/2WefFcs1BBcULZkwYQKOHj0Kd3d38f4999wjIGXUqFEYMGAA+vTpg4kTdTdlb9iwAY8//jhOnToFjabCGXXJszNuwGDCYGKDx0h9XTCYqM8n5S1iMFHOPyl5e7An3hg0aDmnVagxaFQGJg0CJ6NhoPX3IlU106RrA8TGV32hUzxhkZur7R6TZe/8DE28DDCJTMPI5+4zCyakY0JCArp06WK0lPPee+9h8eLFItrRokULzJo1C1999ZX498qVK/HFF19g48aNZb6YNGkSGjRoIACGlm5mz56N3r17i/cJYCjism/fPgQEBNj8YWYwYTCx+UOlhg4ZTNTghcptYDBRzj/6iIkLSkVCMyqU1izKbwSaBb9gNDDtVdl5ZZDBXhWq1CHiS6tO91gyw9LSDORkr0ZpSYao7uP3SLWEEpobLeUIMImT/kVeGpUOTXSGUXTi999/N5K5MjDZuXMnnnzySQEZtERD8DJ37lwBFrRUs379eqxdu7asP6pL+09or0mTJk0E1HTrpjtGf+bMGQEpW7duRVRUlCWullSHwYTBRNID4yyVGUzU7SkGE2X9sztuEPIKThgM4uPeEB2ifjY5MO0zOZu2AHlFV+Ci8UWQ5n7EhJm//VfZWVSv3gWYzFkLzRV/yRMrjc5Av4l3ol8/w0zFtM+jYjEFJunp6ejQoQOWLVuGTp06ITY2FhQRoT2UtCHWkogJLQP16tVLDMcRE8kutG0D3vxqWz3t1RuDib2UljcOg4k83SxtdeTaNCTnGGdTbW/BUWJr8phYal9NrCfAZPYa2WAy8oX7ZS/l/P333xg7diz27NmDWrV0m29pGefjjz8Wm2VN7THp3r07Ro8ezXtM1PiwMpio0SvmbWIwMa+RI2swmCir/oGER5Be7lSOfrQ2EV8h0EzyNQYTZXwjwOTtNdBc9pM8QGntTIycaR5MyHe0+ZWOC9N+ETou7ObmhsuXL4tlmGnTpolISV5enjiN4+/vjyVLlohTOrQ5dubMmWZP5fj4+AjI4VM5kt1ouwYMJrbT0p49MZjYU23pYzGYSNdMSovLGd/gbIXka7REc0eM7jK8qgqDiTmF5L2vA5PVwCVd3hBJpU4WRs4caDZiQvtH9HlIqH9KhLZ7t87ndJJm6dKlOHlSt9m4Z8+eIm9JRESE+D/lKCFo0ZfXXnsNw4cPF//NysoSdemkD5VWrVph4cKFCA8PlzQNSyvzHhMzSjGYWPooqaseg4m6/FHRGgYTZf1DG1ppOUcfNSEoaRb6NkK8e5gdmMHErESyKggweesn+WDy4gNmwcQSwyizK2149fDwMKpeXFwsIi5hYWFlx4bLV6K9KgUFBYolVtOPxWDCYGLJs+x0dRhM1O0yBhP7+Yc2tHqaSKxWmQUMJsr4RoDJrJ+Aiz7SB6ibjZEv2QZMpA9u/xYMJgwm9n/q7DAig4kdRLZiCAYTK8RTuCmDiTIC68DkRyDWW/oAMTkY+dIgm0RMpA9u/xYMJgwm9n/q7DAig4kdRLZiCAYTK8RTuCmDiTICCzB58wfgggwwqZeDkS8/yGCijGucr1feY+J8PiOLGUzU7TcGE/X6h8FEGd8IMHmDwMRL+gD1cjHyFQYT6cJV0xYMJs7pWAYTdfuNwUS9/mEwUcY3AkzmrQDSXKUPEFiEkY8/zBET6cpVzxYMJs7pVwYTdfuNwUS9/mEwUcY3Bw8eBP2RWyjPCP2pCYX3mJjxMoOJc34MGEzU7TcGE/X6h8FEvb6pKZYxmDCYVMtnncFE3W5lMFGvfxhM1OubmmIZgwmDSbV81hlM1O1WBhP1+ofBRL2+qSmWOT2YJCYmiquZvbws3+lM6XUzMzNFOl2tVlulr3kpxzk/Cgwm6vYbg4l6/cNgol7f1BTLnBZM6NrmcePG4cKFC8JXgwcPxuuvvy4uLKqs0A2Kb7/9dlmbX3/9FU2bNmUwqYZPO4OJup3KYKJe/zCYqNc3NcUypwWTMWPGiEjJO++8I3L7P/DAAwJMBgwYYNJ3mzdvxsSJE8UfqktXP3t6epqNtHDExDk/Cgwm6vYbg4l6/cNgol7f1BTLnBJM6CKhDh06YNWqVWjXrp3wFUEJAcpnn31m5LvS0lL0798fzZo1w/vvvy/JtwwmkuRSTWUGE9W4wqQhDCbq9Q+DiXp9U1Msc0owOXPmDHr37o3t27eLWxCp0HXOq1evxtq1a418l5KSgltvvRU9evQAfehycnLQuXNnjB8/XkRNqioMJs75UWAwUbffGEzU6x8GE/X6pqZYpjow2bt3L/bv329Sf1p+GTJkiHh/6NCh2Ldvn7i+mcrKlSsxf/58bNu2zajtsWPHxBIPtbnjjjuQkZEh9pr069cPs2bNKqv/8ccfG7X99NNPcfr0aaPXc3NzBeT4+/vXlGfFqebJYKJudzGYqNc/DCbq9U1NsUx1YLJ161YRCTFVgoODxR4RfcRkx44dCA0NNRsx0YPJ7t27ERQUJOr/73//w1tvvYX//vsPGo1GvPbLL78YDfvUU0/VlGeB58kKl4T7DQAADF5JREFUsAKsACtgQgFTv5yyUMopoDowsWSqpvaYvPbaa0hISDC5x0Rfn2Ckbdu2YogVK1bglVdewcmTJ80eGTZlE53oIUB68sknLTGZ69hZgVdffRX33nsvbr/9djuPzMNZokCfPn2wZs0auLu7W1Kd69hRgUOHDuHrr7/GBx98YMdReShW4IYCTgkmZP7o0aPFMoqpUzmUo2TEiBGYMGEC+vbtK2Y7duxY0CbYTz75BMnJyQIooqKiQEs1cgqDiRzV7NeGwcR+WssZicFEjmr2acNgYh+deZTKFXBaMDl37pzIY3Lp0iUxOzoC/Oabb4rfwGh/QceOHUFRlOHDh4v3qd5jjz0GWtah0qlTJ3z44YdlS0FSHxIGE6mK2bc+g4l99ZY6GoOJVMXsV5/BxH5a80imFXBaMNFPh5ZvKJ8J/bGk0KY7SsKm32tiSRtTdRhM5Cpnn3YMJvbRWe4oDCZylVO+HYOJ8hrzCFUr4PRg4igHM5g4SnnLxmUwsUwnR9ViMHGU8ubHZTAxrxHXUFYBBhNl9eXeWQFWgBVgBVgBVkCCAgwmEsTiqqwAK8AKsAKsACugrAIMJsrqy72zAqwAK8AKsAKsgAQFGEwkiMVVWQFWgBVgBVgBVkBZBRhMZOhLeVIobbO1J3tkDM1NLFAgMTFRnNLy8vIyW5uuFqC7lCIjI2Ul2jM7AFcwUqCkpATXrl1DSEgIXF1dWSEHKVBQUCCe/fDw8LLs15WZQj6junSiUX8NiIPM5mFrgAIMJhKcnJ2djRkzZmDTpk2iFWWRXbBggUW5UOhW40WLFuHff//l+3UkaC6lamxsrMhtc+HCBdFs8ODB4tZp+mFqqkyaNKnMlwSZgwYNwrPPPitlSK4rUYEtW7Zg+vTpoM8SFco99NBDD0nshatbowAlmqTEkvPmzRPd0LNPP5v0WbEr9k1XhEydOrXMZ3Qh6nPPPYdWrVpZYwa3ZQUqVYDBRMLDQR/eVatWiXT23t7e4kuwYcOG4kLAqsqPP/6I559/XlRhMJEguMSqY8aMEZESU9mATXVFlzb26tULMTExoHuX6B6mH374AW3atJE4Mle3RAGKTt1222144oknMHLkSGzevFl84dHfderUsaQLrmMDBfSXoNLPsdatW+Ojjz4S94TRPWVardZohJ07d4oIV9euXUE+pKP4FEFZsmSJDazhLlgBYwUYTCQ8FXRDMeVfoC8wKhs2bMDjjz+OU6dOVRoK3bNnj0iNTxcGUhp8BhMJgkuoaur+JIqWxMfHm7w/yVTXXbp0wbBhwzB58mQJI3NVSxWgaAl9Fo4ePVp2R84999wjIGXUqFGWdsP1rFTg3XffFRmwly5dKnqipJN06/ratWvRokULs71TvaeffhrHjx/npTizanEFOQowmEhQjUKds2fPRu/evUUr+gF7//33Y9++fSbXXWlJgd6n+3kiIiIE1DCYSBBcQlX9jdMUdg4LCxMt6Qfv6tWrxQ9cc4V8RV+SixcvRrdu3cxV5/dlKLBy5Up88cUX2LhxY1lrWk5r0KABL6HJ0FNuE/oFqVatWiLyoS+NGze2+NknKKHbdi35XMm1kdvVbAUYTABcuXIFlMm1skK/zXl6eqJJkyYGH179lyGFQOlCwPKF7uuh+3toeYEuFKQPMoOJvA8b/QCkqwdMFfoNjyId+vB0eUikL8L58+dj27ZtVQ6clZUl9jn4+flh+fLlcHFxkWcot6pSAVoKXb9+vcEXGn1J0vLbrFmzWD07KUA/k5o1a2YAg/RLF+336d+/f5VW6KMlBP18c7edHFYDh2EwAcRmye+++65S99OauI+Pj9gcNmfOHLEvgUpVERP9Ms+jjz4q6tKOdvpQ01LB0KFDLQqZ1sDn0eSUly1bVnZZY8UK7du3R8+ePaGHRNorEhoaKqpZEjGhNXPa50BLPvQM0G+SXJRRgCMmyugqtVeCQdrw+sorr5Q1tSRiQoBPUPPGG2/g4Ycfljos12cFLFaAwcRiqQApe0zoi7J8yJqOsNIX7JQpU8RvJY0aNZIwMlc1p4CpPSZ0uzRFWj777DOTzTMyMoQ/cnJyxBIDQ4k5la1739Qek+7du2P06NG8x8Q6aSW1pj0mJ06cwJdffinaWbLHRP+LFv1iRqfXuLACSirAYCJB3fKnciiCMnbsWINTObQRNjo6Whylq1h4KUeC0DKr0hecv7+/yVM5lHuGltRo82Xfvn0FjNAP2KKiIrEHSH87NS3jUE4TLrZXgDSnE08zZ87kUzm2l9fiHvXLnhTBolM5H374oVjK1p/KIWChX6ro1A4V2qdFx+hffPFF3H333WXjEMjTz0EurICtFWAwkaAo7UWgHAx//fWXaEXn+BcuXCgSFFHp16+f2Minzw9QvmsGEwlCy6x67tw5cYT70qVLogfa40Pr5u7u7qA9Px07dgRFUYYPHy4iKbQ3pWKhEPfu3btlWsDNzClAOYBow6u+6P1hrh2/bzsFKI8JHZWn/VdUCC4IRtq1ayf+Txv8KS3CgQMHxP9pk6yppW6q9+CDD9rOMO6JFbiuAIOJjEeBlg0oa6J+L4OMLriJggoQdFAERB8FUXAo7lqGAsXFxWJPD52eImjk4hgF8vLykJyczFmPHSM/j1qFAgwm/HiwAqwAK8AKsAKsgGoUYDBRjSvYEFaAFWAFWAFWgBVgMOFngBVgBVgBVoAVYAVUowCDiWpcwYawAqwAK8AKsAKsAIMJPwOsACvACrACrAAroBoFGExU4wo2hBVgBVgBVoAVYAUYTPgZYAVYAVaAFWAFWAHVKMBgohpXsCGsACvACrACrAArwGDCzwArwAqwAqwAK8AKqEYBBhPVuIINYQVYAVaAFWAFWAEGE34GWAFWgBVgBVgBVkA1CjCYqMYVbAgrwAqwAqwAK8AKMJjwM8AKsAKsACvACrACqlGAwUQ1rmBDWAFWgBVgBVgBVoDBhJ8BVoAVYAVYAVaAFVCNAgwmqnEFG8IKOKcCW7ZsQcOGDVG3bl3nnABbzQqwAqpSgMFEVe5gY1gB51GgqKgI27dvx7hx4zBnzhwMGjTIeYxnS1kBVkC1CjCYqNY1bBgroF4Fzp07h549e5YZyGCiXl+xZayAsynAYOJsHmN7WQEbKDBz5kwEBgYiPz8ff/zxBzIzMzFkyBA888wzcHNzEyNkZWVh3rx5oKWaxMREtGzZEiNHjhRAUlhYiPj4eOTk5KB///4cMbGBT7gLVoAV0CnAYMJPAitQAxUYMGAAjh07httvvx133nknNm7ciH379mHGjBmYNGkSiouLMXjwYBw+fBjDhg1D69atsXXrVmRnZ+OLL74oU4zg5eabb2YwqYHPEE+ZFVBKAQYTpZTlflkBFStAYFK/fn189NFHZVYSiCQkJGDbtm0CVKZMmYK5c+eiX79+ZXWuXr2K8PBwBhMV+5ZNYwWcXQEGE2f3INvPCshQgMCkTZs2eOONN8pav/fee1i8eDGOHz+OhQsXimWc3bt3IygoqNIROGIiQ3xuwgqwAlUqwGDCDwgrUAMVMAUm77zzDj7//HOcOHFCREoWLVqEQ4cOwcvLi8GkBj4jPGVWwFEKMJg4SnkelxVwoAKmwOSee+6Bh4cHfv31V/z44494/vnnxX4S2oOiL7T3xMXFhZdyHOg7HpoVqO4KMJhUdw/z/FgBEwoQmFB59tlnBWisXLkS69atw/vvvw96Lz09Hffeey/8/f0xYcIEtG/fHjt27MD+/fvx4YcfoqCgAHRkmE7lDB06FI8//jgIbMLCwqpc+mFnsAKsACtgTgEGE3MK8fusQDVUgOAjNjZWnLLRF4IUSpam0WjES0ePHgUdK6bTO+XrjB8/HmfPnkWvXr2MlHnuuedEH1xYAVaAFZCrAIOJXOW4HSvgxArol3JeeuklpKSkICQkBK6uriZnRDlO6A9FQyqr48RSsOmsACugMgUYTFTmEDaHFbCHAqb2mNhjXB6DFWAFWAFzCjCYmFOI32cFqqECtGxDeUwmT55cDWfHU2IFWAFnVoDBxJm9x7azAqwAK8AKsALVTAEGk2rmUJ4OK8AKsAKsACvgzAowmDiz99h2VoAVYAVYAVagminAYFLNHMrTYQVYAVaAFWAFnFkBBhNn9h7bzgqwAqwAK8AKVDMFGEyqmUN5OqwAK8AKsAKsgDMrwGDizN5j21kBVoAVYAVYgWqmAINJNXMoT4cVYAVYAVaAFXBmBf4PfLPW06JeZjMAAAAASUVORK5CYII=",
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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -657,9 +676,10 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "We see a clear difference in speeches over time---speeches given in the 1800s\n",
     "used very different words than speeches given after 2000.\n",
@@ -671,9 +691,11 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "tags": [],
+    "user_expressions": []
+   },
    "source": [
     "This section gave a whirlwind introduction to text analysis.\n",
     "We used text manipulation tools from previous sections to clean up the\n",
@@ -699,7 +721,7 @@
    "views": {}
   },
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -713,7 +735,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.4"
+   "version": "3.10.12"
   },
   "toc": {
    "nav_menu": {},
diff --git a/content/ch/14/web_html.ipynb b/content/ch/14/web_html.ipynb
index 4aae2b287..7d75ad2b3 100644
--- a/content/ch/14/web_html.ipynb
+++ b/content/ch/14/web_html.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 11,
    "metadata": {
     "tags": [
      "remove-cell"
@@ -19,7 +19,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 12,
    "metadata": {
     "tags": [
      "remove-cell"
@@ -32,7 +32,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 13,
    "metadata": {
     "tags": [
      "remove-cell"
@@ -45,15 +45,16 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "tags": [],
+    "user_expressions": []
+   },
    "source": [
     "# XML, HTML, and XPath"
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -65,9 +66,10 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "```\n",
     "<catalog>                                The topmost node, aka root node.\n",
@@ -92,17 +94,19 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "We added the indentation to this snippet of XML to make it easier to see the structure. It is not needed in the actual file."
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "XML documents are plain-text files with the following syntax rules:\n",
     "\n",
@@ -114,9 +118,10 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "We call an XML document well formed when it follows certain rules. The most important of these are:\n",
     "\n",
@@ -129,17 +134,19 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "The hierarchical nature of well-formed XML means it can be represented as a tree. {numref}`Figure %s <fig-xml-tree>` shows a tree representation of the plant catalog XML. "
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "```{figure} figures/catalog-tree.png\n",
     "---\n",
@@ -151,9 +158,10 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Like with JSON, an XML document is plain-text. We can read it with a plain-text viewer, and it's easy for machines to read and create XML content.  The extensible nature of XML allows content to be easily merged into higher-level container documents and easily exchanged with other applications. XML also supports binary data and arbitrary character sets.\n",
     "\n",
@@ -161,25 +169,28 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "## Example: Scraping Race Times from Wikipedia "
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Earlier in this chapter, we used an HTTP request to retrieve the HTML page from Wikipedia shown in {numref}`Figure %s <fig-wiki-1500>`. The contents of this page are in HTML, which is essentially an XML vocabulary.  We can use the hierarchical structure of the page and XML tools to access data in one of the tables and wrangle it into a data frame. In particular, we are interested in the second table in the page, a portion of which appears in the screenshot in {numref}`Figure %s <fig-html-table>`.  "
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "```{figure} figures/wiki-table-1500.jpg\n",
     "---\n",
@@ -191,9 +202,10 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Before we work on this table, we provide a quick summary of the format for a basic  HTML table. Here is the HTML for a table with a header and two rows of three columns: \n",
     "\n",
@@ -217,16 +229,17 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Our first task is to create a tree structure from the content of the web page. To do this, we use the `lxml` library, which provides access to the C-library `libxml2` for handling XML content. Recall that `resp_1500` contains the response from our request, and the page is in the body of the response. We can parse the web page into a hierarchical structure with `fromstring` in the `lxml.html` module: "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -237,7 +250,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -246,7 +259,7 @@
        "lxml.html.HtmlElement"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -256,16 +269,17 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Now we can work with the document using its tree structure. We can find all the tables in the HTML document with the following search:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -274,7 +288,7 @@
        "list"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -286,16 +300,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "6"
+       "7"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -305,7 +319,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -313,7 +326,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -322,18 +334,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [],
    "source": [
-    "times = tree_1500.xpath('//table[2]/tbody/tr/td[1]/b/text()')\n",
-    "names = tree_1500.xpath('//table[2]/tbody/tr/td[3]/a/text()')\n",
-    "dates = tree_1500.xpath('//table[2]/tbody/tr/td[4]/text()')"
+    "times = tree_1500.xpath('//table[3]/tbody/tr/td[1]/b/text()')\n",
+    "names = tree_1500.xpath('//table[3]/tbody/tr/td[3]/a/text()')\n",
+    "dates = tree_1500.xpath('//table[3]/tbody/tr/td[4]/text()')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
@@ -342,7 +354,7 @@
        "lxml.etree._ElementUnicodeResult"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -352,7 +364,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -361,7 +372,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -370,7 +381,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -379,7 +389,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -393,7 +403,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -403,7 +413,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 37,
    "metadata": {
     "tags": [
      "hide-cell"
@@ -497,7 +507,7 @@
        "[38 rows x 3 columns]"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -510,16 +520,17 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "We can create a data frame and make a plot to show the progress in race times over the years:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 39,
    "metadata": {
     "tags": [
      "hide-input"
@@ -534,7 +545,7 @@
        },
        "data": [
         {
-         "hovertemplate": "=%{x}<br>Time (sec)=%{y}<extra></extra>",
+         "hovertemplate": "Year=%{x}<br>Time (sec)=%{y}<extra></extra>",
          "legendgroup": "",
          "marker": {
           "color": "#1F77B4",
@@ -1014,12 +1025,10 @@
           ],
           "scatter": [
            {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 1,
-              "tickcolor": "rgb(36,36,36)",
-              "ticks": "outside"
-             }
+            "fillpattern": {
+             "fillmode": "overlay",
+             "size": 10,
+             "solidity": 0.2
             },
             "type": "scatter"
            }
@@ -1514,11 +1523,11 @@
           1
          ],
          "range": [
-          1906.1393170142037,
-          2003.8606829857963
+          1906.1333941051353,
+          2003.8666058948647
          ],
          "title": {
-          "text": ""
+          "text": "Year"
          },
          "type": "linear"
         },
@@ -1530,8 +1539,8 @@
           1
          ],
          "range": [
-          203.54543114543114,
-          238.25456885456887
+          203.55003198976328,
+          238.24996801023673
          ],
          "title": {
           "text": "Time (sec)"
@@ -1540,9 +1549,9 @@
         }
        }
       },
-      "image/png": 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",
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stroke-width: 0px; fill: rgb(31, 119, 180); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(301.8,149.9)\" d=\"M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(31, 119, 180); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(301.8,151)\" d=\"M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(31, 119, 180); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(328.59,154.15)\" d=\"M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(31, 119, 180); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(340.07,161.96)\" d=\"M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(31, 119, 180); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(351.55,169.15)\" d=\"M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(31, 119, 180); fill-opacity: 1;\"/></g><g class=\"text\"/></g></g></g><g class=\"overplot\"/><path class=\"xlines-above crisp\" d=\"M65,192.5H440\" style=\"fill: none; stroke-width: 1px; stroke: rgb(36, 36, 36); stroke-opacity: 1;\"/><path class=\"ylines-above crisp\" d=\"M65.5,10V192\" style=\"fill: none; stroke-width: 1px; stroke: rgb(36, 36, 36); stroke-opacity: 1;\"/><g class=\"overlines-above\"/><g class=\"xaxislayer-above\"><path class=\"xtick ticks crisp\" d=\"M0,193v5\" transform=\"translate(119.06,0)\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; stroke-width: 1px;\"/><path class=\"xtick ticks crisp\" d=\"M0,193v5\" transform=\"translate(195.6,0)\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; stroke-width: 1px;\"/><path class=\"xtick ticks crisp\" d=\"M0,193v5\" transform=\"translate(272.13,0)\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; stroke-width: 1px;\"/><path class=\"xtick ticks crisp\" d=\"M0,193v5\" transform=\"translate(348.67,0)\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; stroke-width: 1px;\"/><path class=\"xtick ticks crisp\" d=\"M0,193v5\" transform=\"translate(425.2,0)\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; stroke-width: 1px;\"/><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"212.4\" transform=\"translate(119.06,0)\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre; opacity: 1;\">1920</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"212.4\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(195.6,0)\">1940</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"212.4\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(272.13,0)\">1960</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"212.4\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(348.67,0)\">1980</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"212.4\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(425.2,0)\">2000</text></g></g><g class=\"yaxislayer-above\"><path class=\"ytick ticks crisp\" d=\"M65,0h-5\" transform=\"translate(0,158.17)\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; stroke-width: 1px;\"/><path class=\"ytick ticks crisp\" d=\"M65,0h-5\" transform=\"translate(0,105.72)\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; stroke-width: 1px;\"/><path class=\"ytick ticks crisp\" d=\"M65,0h-5\" transform=\"translate(0,53.27)\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; stroke-width: 1px;\"/><g class=\"ytick\"><text text-anchor=\"end\" x=\"57.6\" y=\"4.199999999999999\" transform=\"translate(0,158.17)\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre; opacity: 1;\">210</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"57.6\" y=\"4.199999999999999\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(0,105.72)\">220</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"57.6\" y=\"4.199999999999999\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(0,53.27)\">230</text></g></g><g class=\"overaxes-above\"/></g></g><g class=\"polarlayer\"/><g class=\"smithlayer\"/><g class=\"ternarylayer\"/><g class=\"geolayer\"/><g class=\"funnelarealayer\"/><g class=\"pielayer\"/><g class=\"iciclelayer\"/><g class=\"treemaplayer\"/><g class=\"sunburstlayer\"/><g class=\"glimages\"/><defs id=\"topdefs-014050\"><g class=\"clips\"/></defs><g class=\"layer-above\"><g class=\"imagelayer\"/><g class=\"shapelayer\"/></g><g class=\"infolayer\"><g class=\"g-gtitle\"/><g class=\"g-xtitle\"><text class=\"xtitle\" x=\"253\" y=\"239.20625\" text-anchor=\"middle\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(36, 36, 36); opacity: 1; font-weight: normal; white-space: pre;\">Year</text></g><g class=\"g-ytitle\" transform=\"translate(3.5966796875,0)\"><text class=\"ytitle\" transform=\"rotate(-90,10.403125000000003,101)\" x=\"10.403125000000003\" y=\"101\" text-anchor=\"middle\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(36, 36, 36); opacity: 1; font-weight: normal; white-space: pre;\">Time (sec)</text></g></g></svg>"
       ]
      },
      "metadata": {},
@@ -1551,30 +1560,33 @@
    ],
    "source": [
     "px.scatter(men_1500, x='year', y='race_time',\n",
-    "           labels={'year':'', 'race_time':'Time (sec)'},\n",
+    "           labels={'year':'Year', 'race_time':'Time (sec)'},\n",
     "           width=450, height=250)"
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "As you may have noticed, extracting data from an HTML page relies on careful examination of the source to find where in the document are the numbers that we're after. We relied heavily on the XPath tool to do the extraction. Its elegant language is quite powerful. We introduce it next."
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "## XPath"
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "When we work with XML documents, we typically want to extract data from them and bring it into a data frame. XPath can help here. XPath can recursively traverse an XML tree to find elements. For example, we used the expression `//table` in the previous example to locate all table nodes in our web page.  \n",
     "\n",
@@ -1584,9 +1596,10 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Each XPath expression is made up of one or more *location steps*, separated by a \"/\". Each location step has three parts—the *axis*, *node test*, and optional *predicate*:\n",
     "\n",
@@ -1598,9 +1611,10 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     ":::{table} XPath examples\n",
     ":name: xpath-examples\n",
@@ -1618,16 +1632,17 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "You can try out the XPath expressions in the table with the catalog file. We load the file into Python using the `etree` module. The `parse` method reads the file into an element tree:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 51,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1637,24 +1652,26 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "The `lxml` library gives us access to XPath. Let's try it out."
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Here is a simple XPath expression to locate all text content of any \\<light\\> node in the tree:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 52,
    "metadata": {},
    "outputs": [
     {
@@ -1663,7 +1680,7 @@
        "['Mostly Shady', 'Mostly Shady']"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 52,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1673,16 +1690,17 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Notice that two elements are returned. Although the text content is identical, we have two \\<light\\> nodes in our tree and so are given the text content of each. The following expression is a bit more challenging:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 42,
    "metadata": {},
    "outputs": [
     {
@@ -1691,7 +1709,7 @@
        "['Columbine']"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 42,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1701,25 +1719,28 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "The expression locates all `<price>` nodes in the tree, then filters them according to whether their `curr` attribute is `CAD`. Then, for the remaining nodes (there's only one in this case), travel up one step in the tree to the parent node and then back down to any child \"common\" nodes and on to their text content. Quite the trip!"
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Next, we provide an example that uses an HTTP request to retrieve XML-formatted data, and XPath to wrangle the content into a data frame. "
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "## Example: Accessing Exchange Rates from the ECB\n",
     "\n",
@@ -1728,7 +1749,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 43,
    "metadata": {
     "tags": [
      "student"
@@ -1743,7 +1764,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 44,
    "metadata": {},
    "outputs": [
     {
@@ -1752,7 +1773,7 @@
        "200"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 44,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1762,16 +1783,17 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Again, we can use the `lxml` library to parse the text document we received from the ECB, but this time the contents are in a string returned to us from the ECB, not in a file: "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 45,
    "metadata": {
     "tags": [
      "solution"
@@ -1783,17 +1805,19 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "In order to extract the data we want, we need to know how it is organized.  Here is a snippet of the content: "
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "```\n",
     "<gesmes:Envelope xmlns:gesmes=\"http://www.gesmes.org/xml/2002-08-01\"\n",
@@ -1819,17 +1843,19 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "This document appears quite different in structure from the plant catalog. The snippet shows three levels of tags, all with the same name, and none have text content. All of the relevant information is contained in attribute values. Other new features are the `xmlns` in the root \\<Envelope\\> node, and the odd tag names, like `gesmes:Envelope`.  These have to do with namespaces."
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "XML allows content creators to use their own vocabularies, called *namespaces*. The namespace gives the rules for a vocabulary, such as allowable tag names and attribute names, and restrictions on how nodes can be nested. And XML documents can merge vocabularies from different applications. To keep it all straight, information about the namespace(s) is provided in the document. \n",
     "\n",
@@ -1837,16 +1863,17 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "The upshot of this is that we need to take into account these namespaces when we search for nodes. Let's see how this works when we extract the dates. From the snippet, we see that the dates reside in \"time\" attributes. These \\<Cube\\>s are children of the top \\<Cube\\>. We can give a very specific XPath expression to step from the root to its \\<Cube\\> child node and on to the next level of \\<Cube\\> nodes:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 46,
    "metadata": {
     "tags": []
    },
@@ -1854,10 +1881,10 @@
     {
      "data": {
       "text/plain": [
-       "['2023-05-26', '2023-05-25', '2023-05-24', '2023-05-23', '2023-05-22']"
+       "['2023-07-18', '2023-07-17', '2023-07-14', '2023-07-13', '2023-07-12']"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 46,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1870,38 +1897,41 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "The `.` in the expression is a shortcut to signify \"from here,\" and since we're at the top of the tree, it's equivalent to \"from the root.\" We specified the namespace in our expression as \"x:\". Even though the \\<Cube\\> nodes are using the default namespace, we must specify it in our XPath expression. Fortunately, we can simply pass in the namespace as a parameter with our own label (\"x\" in this case) to keep our tag names short."
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Like with the HTML table, we can convert the date values into strings and from strings into timestamps:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 53,
    "metadata": {
     "tags": []
    },
    "outputs": [],
    "source": [
     "date_str = [str(s) for s in date]\n",
-    "timestamps = pd.to_datetime(date_str, infer_datetime_format=True)\n",
+    "timestamps = pd.to_datetime(date_str)\n",
     "xrates = pd.DataFrame({\"date\":timestamps})"
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "As for the exchange rates, they also appear in \\<Cube\\> nodes, but these have a \"rate\" attribute. For example, we can access all exchange rates for the British pound with the following XPath expression (we're ignoring the namespace for the moment):\n",
     "\n",
@@ -1911,16 +1941,17 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Since we want to extract exchange rates for multiple currencies, we generalize this XPath expression. We also want to convert the exchange rates to a numeric storage type, and make them relative to the first day's rate so that the different currencies are on the same scale, which makes them more amenable for plots:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 54,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1936,7 +1967,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 55,
    "metadata": {
     "tags": [
      "hide-cell"
@@ -1973,38 +2004,38 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>2023-05-26</td>\n",
-       "      <td>0.99</td>\n",
-       "      <td>1.02</td>\n",
-       "      <td>1.02</td>\n",
+       "      <td>2023-07-18</td>\n",
+       "      <td>0.97</td>\n",
+       "      <td>1.03</td>\n",
+       "      <td>1.01</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>2023-05-25</td>\n",
-       "      <td>0.99</td>\n",
-       "      <td>1.02</td>\n",
-       "      <td>1.02</td>\n",
+       "      <td>2023-07-17</td>\n",
+       "      <td>0.97</td>\n",
+       "      <td>1.03</td>\n",
+       "      <td>1.01</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>2023-05-24</td>\n",
-       "      <td>0.99</td>\n",
-       "      <td>1.02</td>\n",
-       "      <td>1.02</td>\n",
+       "      <td>2023-07-14</td>\n",
+       "      <td>0.97</td>\n",
+       "      <td>1.03</td>\n",
+       "      <td>1.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>2023-05-23</td>\n",
-       "      <td>0.99</td>\n",
-       "      <td>1.02</td>\n",
+       "      <td>2023-07-13</td>\n",
+       "      <td>0.97</td>\n",
        "      <td>1.02</td>\n",
+       "      <td>1.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>2023-05-22</td>\n",
+       "      <td>2023-07-12</td>\n",
+       "      <td>0.97</td>\n",
+       "      <td>1.01</td>\n",
        "      <td>0.99</td>\n",
-       "      <td>1.03</td>\n",
-       "      <td>1.02</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -2012,14 +2043,14 @@
       ],
       "text/plain": [
        "        date   GBP   USD   CAD\n",
-       "0 2023-05-26  0.99  1.02  1.02\n",
-       "1 2023-05-25  0.99  1.02  1.02\n",
-       "2 2023-05-24  0.99  1.02  1.02\n",
-       "3 2023-05-23  0.99  1.02  1.02\n",
-       "4 2023-05-22  0.99  1.03  1.02"
+       "0 2023-07-18  0.97  1.03  1.01\n",
+       "1 2023-07-17  0.97  1.03  1.01\n",
+       "2 2023-07-14  0.97  1.03  1.00\n",
+       "3 2023-07-13  0.97  1.02  1.00\n",
+       "4 2023-07-12  0.97  1.01  0.99"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 55,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2029,16 +2060,17 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "We wrap up this example with line plots of the exchange rates:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 57,
    "metadata": {
     "tags": [
      "hide-input"
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@@ -3374,7 +3410,7 @@
          }
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         "title": {
-         "text": "Exchange Rate with the Euro"
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         "xaxis": {
@@ -3385,8 +3421,8 @@
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          "title": {
           "text": "Exchange rate relative to first day"
@@ -3409,9 +3445,9 @@
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",
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       ]
      },
      "metadata": {},
@@ -3421,7 +3457,7 @@
    "source": [
     "fig = px.line(xrates, x='date', y=[\"USD\", \"CAD\", \"GBP\"],\n",
     "             line_dash='variable',\n",
-    "             title=\"Exchange Rate with the Euro\", \n",
+    "             title=\"Exchange rate with the euro\", \n",
     "             width=650, height=300)\n",
     "\n",
     "fig.update_xaxes(title=None)\n",
@@ -3431,9 +3467,11 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "tags": [],
+    "user_expressions": []
+   },
    "source": [
     "Combining knowledge of JSON, HTTP, REST, and HTML gives us access to a vast\n",
     "variety of data available on the web. For example, in this section we wrote code to scrape data from a Wikipedia page. One key advantage of this approach is that we can likely rerun this code in a few months to automatically update the data and the plots. One key drawback is that our approach is tightly coupled to the structure of the web page---if someone updates the Wikipedia page and the table is no longer the second table on the page, our code will also need some edits in order to work.\n",
@@ -3443,7 +3481,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -3457,7 +3495,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.4"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/content/ch/21/fake_news_modeling.ipynb b/content/ch/21/fake_news_modeling.ipynb
index 54fe3501c..074dd332f 100644
--- a/content/ch/21/fake_news_modeling.ipynb
+++ b/content/ch/21/fake_news_modeling.ipynb
@@ -78,7 +78,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "(sec:fake_news_modeling)=\n",
     "# Modeling"
@@ -86,21 +88,27 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Now that we've obtained, cleaned, and explored our data, let's fit models to predict whether articles are real or fake. In this section, we use logistic regression because we have a binary classification problem. We fit three different models that increase in complexity. First, we fit a model that just uses the presence of a single handpicked word in the document as an explanatory feature. Then we fit a model that uses multiple handpicked words. Finally, we fit a model that uses all the words in the train set, vectorized using the tf-idf transform (introduced in {numref}`Chapter %s <ch:text>`). Let's start with the simple single-word model."
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "## A Single-Word Model"
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Our EDA showed that the word _vote_ is related to whether an article is labeled `real` or `fake`. To test this, we fit a logistic regression model using a single binary feature: `1` if the word _vote_ appears in the article and `0` if not. We start by defining a function to lowercase the article content: "
    ]
@@ -117,7 +125,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "For our first classifier, we only use the word _vote_:"
    ]
@@ -133,7 +143,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "We can chain the `lowercase` function and the function `make_word_features` from our EDA into a `scikit-learn` pipeline. This provides a convenient way to transform and fit data all at once:"
    ]
@@ -164,14 +176,18 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "When used, the preceding pipeline converts the characters in the article content to lowercase, creates a dataframe with a binary feature for each word of interest, and fits a logistic regression model on the data using $ L_2 $ regularization. Additionally, the `LogisticRegressionCV` function uses cross-validation (5-fold by default) to select the best regularization parameter. (See {numref}`Chapter %s <ch:risk>` for more on regularization and cross-validation.)"
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Let's use the pipeline to fit the training data:"
    ]
@@ -186,8 +202,8 @@
      "output_type": "stream",
      "text": [
       "64.9% accuracy on training set.\n",
-      "CPU times: user 180 ms, sys: 52.3 ms, total: 233 ms\n",
-      "Wall time: 220 ms\n"
+      "CPU times: user 110 ms, sys: 42.7 ms, total: 152 ms\n",
+      "Wall time: 144 ms\n"
      ]
     }
    ],
@@ -200,7 +216,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Overall, the single-word classifier only classifies 65% of articles correctly. We plot the confusion matrix of the classifier on the train set to see what kinds of mistakes it makes:"
    ]
@@ -215,15 +233,699 @@
    },
    "outputs": [
     {
-     "ename": "AttributeError",
-     "evalue": "type object 'ConfusionMatrixDisplay' has no attribute 'from_estimator'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-10-39a556c97b57>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0msklearn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmetrics\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mConfusionMatrixDisplay\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m ConfusionMatrixDisplay.from_estimator(\n\u001b[0m\u001b[1;32m      4\u001b[0m     \u001b[0mmodel1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mX_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcmap\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mBlues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolorbar\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m )\n",
-      "\u001b[0;31mAttributeError\u001b[0m: type object 'ConfusionMatrixDisplay' has no attribute 'from_estimator'"
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    "source": [
@@ -237,7 +939,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Our model often misclassifies real articles (0) as fake (1). Since this model is simple, we can take a look at the probabilities for the two cases: the word _vote_ is in the article or is not:"
    ]
@@ -271,7 +975,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "When an article contains the word _vote_, the model gives a high probability to the article being real, and when _vote_ is absent, the probability leans slightly toward the article being fake. We encourage readers to verify this for themselves using the definition of the logistic regression model and the fitted coefficients:"
    ]
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   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "As we saw in {numref}`Chapter %s <ch:logistic>`, the coefficient indicates the size of the change in the odds with a change in the explanatory variable. With a 0-1 variable like the presence or absence of a word in an article, this has a particularly intuitive meaning. For an article with _vote_ in it, the odds of being fake decrease by a factor of $\\exp(\\theta_{vote})$, which is:"
    ]
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     {
      "data": {
       "text/plain": [
-       "0.36831978078896055"
+       "0.36836305405149367"
       ]
      },
      "execution_count": 13,
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   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     ":::{note}\n",
     "\n",
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   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Let's make our model a bit more sophisticated by introducing additional word features."
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "## Multiple-Word Model"
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "We create a model that uses all of the words we examined in our EDA of the train set, except for _the_. Let's fit a model using these 15 features:"
    ]
@@ -386,8 +1102,8 @@
      "output_type": "stream",
      "text": [
       "74.8% accuracy on training set.\n",
-      "CPU times: user 2.31 s, sys: 20.2 ms, total: 2.33 s\n",
-      "Wall time: 929 ms\n"
+      "CPU times: user 1.54 s, sys: 59.1 ms, total: 1.6 s\n",
+      "Wall time: 637 ms\n"
      ]
     }
    ],
@@ -400,7 +1116,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "This model is about 10 percentage points more accurate than the one-word model. It may seem a bit surprising that going from a one-word model to a 15-word model only gains 10 percentage points. The confusion matrix is helpful in teasing out the kinds of errors made:"
    ]
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        "    <image xlink:href=\"data:image/png;base64,\n",
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+       "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\" id=\"imageecdd973c28\" transform=\"scale(1 -1) translate(0 -167.04)\" x=\"32.90625\" y=\"-6.48\" width=\"166.32\" height=\"167.04\"/>\n",
        "   </g>\n",
        "   <g id=\"matplotlib.axis_1\">\n",
        "    <g id=\"xtick_1\">\n",
@@ -1052,7 +1770,7 @@
        "  </g>\n",
        " </g>\n",
        " <defs>\n",
-       "  <clipPath id=\"p5ab9cb5563\">\n",
+       "  <clipPath id=\"p136728514e\">\n",
        "   <rect x=\"32.90625\" y=\"7.2\" width=\"166.32\" height=\"166.32\"/>\n",
        "  </clipPath>\n",
        " </defs>\n",
@@ -1067,8 +1785,6 @@
     }
    ],
    "source": [
-    "from sklearn.metrics import ConfusionMatrixDisplay\n",
-    "\n",
     "ConfusionMatrixDisplay.from_estimator(\n",
     "    model2, X_train, y_train, cmap=plt.cm.Blues, colorbar=False\n",
     ")\n",
@@ -1077,14 +1793,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "We can see that this classifier does a better job classifying real articles accurately. However, it makes more mistakes than the simple one-word model when classifying fake article—59 of the fake articles were classified as real. In this scenario, we might be more concerned about misclassifying an article as fake when it is real. So we wish to have a high precision—the ratio of fake articles correctly predicted as fake to articles predicted as fake:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -1093,7 +1811,7 @@
        "[0.57, 0.7]"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1107,7 +1825,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "The precision in our larger model is improved, but about 30% of the articles labeled as fake are actually real. Let's take a look at the model's coefficients:"
    ]
@@ -1141,21 +1861,21 @@
          "showlegend": false,
          "type": "scatter",
          "x": [
-          -1.37949061514245,
-          -1.1896789948533002,
-          -0.9946099221201066,
-          -0.6432631199567471,
-          -0.5342586774320168,
-          -0.40192783575260843,
-          -0.2446765024413335,
-          -0.21807774518560777,
-          -0.10270733458493435,
-          0.10021385193043282,
-          0.2528128031814176,
-          0.30068109312758173,
-          0.6118152741711725,
-          0.8134792764796215,
-          2.1980938920185498
+          -1.379490121193502,
+          -1.1897798338768917,
+          -0.9945960195468444,
+          -0.6432905336669082,
+          -0.5342104068898944,
+          -0.4019951201191891,
+          -0.24430887453625763,
+          -0.21812514998512877,
+          -0.10275763114577417,
+          0.09970909457108566,
+          0.2528136226883931,
+          0.3007856688290154,
+          0.6117494780277482,
+          0.8134987694046578,
+          2.198060144359372
          ],
          "xaxis": "x",
          "y": [
@@ -1579,12 +2299,10 @@
           ],
           "scatter": [
            {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 1,
-              "tickcolor": "rgb(36,36,36)",
-              "ticks": "outside"
-             }
+            "fillpattern": {
+             "fillmode": "overlay",
+             "size": 10,
+             "solidity": 0.2
             },
             "type": "scatter"
            }
@@ -2079,8 +2797,8 @@
           1
          ],
          "range": [
-          -1.64764289896597,
-          2.4662461758420697
+          -1.6476398384905284,
+          2.4662098616563983
          ],
          "title": {
           "text": "Model coefficient"
@@ -2105,9 +2823,9 @@
         }
        }
       },
-      "image/png": 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",
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opacity: 1;\"><g class=\"fills\"/><g class=\"errorbars\"/><g class=\"lines\"/><g class=\"points\"><path class=\"point\" transform=\"translate(16.1,168.2)\" d=\"M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(31, 119, 180); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(27.5,157.1)\" d=\"M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(31, 119, 180); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(39.21,146)\" d=\"M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(31, 119, 180); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(60.3,134.9)\" d=\"M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(31, 119, 180); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(66.85,123.8)\" d=\"M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(31, 119, 180); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(74.79,112.7)\" d=\"M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(31, 119, 180); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(84.23,101.6)\" d=\"M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(31, 119, 180); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(85.83,90.5)\" d=\"M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(31, 119, 180); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(92.76,79.4)\" d=\"M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(31, 119, 180); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(104.94,68.3)\" d=\"M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(31, 119, 180); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(114.1,57.2)\" d=\"M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(31, 119, 180); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(116.98,46.1)\" d=\"M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(31, 119, 180); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(135.66,35)\" d=\"M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(31, 119, 180); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(147.77,23.9)\" d=\"M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(31, 119, 180); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(230.9,12.8)\" d=\"M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(31, 119, 180); fill-opacity: 1;\"/></g><g class=\"text\"/></g></g></g><g class=\"overplot\"/><path class=\"xlines-above crisp\" d=\"M92,191.5H340\" style=\"fill: none; stroke-width: 1px; stroke: rgb(36, 36, 36); stroke-opacity: 1;\"/><path class=\"ylines-above crisp\" d=\"M92.5,10V191\" style=\"fill: none; stroke-width: 1px; stroke: rgb(36, 36, 36); stroke-opacity: 1;\"/><g class=\"overlines-above\"/><g class=\"xaxislayer-above\"><path class=\"xtick ticks crisp\" d=\"M0,192v5\" transform=\"translate(131.88,0)\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; stroke-width: 1px;\"/><path class=\"xtick ticks crisp\" d=\"M0,192v5\" transform=\"translate(191.93,0)\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; stroke-width: 1px;\"/><path class=\"xtick ticks crisp\" d=\"M0,192v5\" transform=\"translate(251.97,0)\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; stroke-width: 1px;\"/><path class=\"xtick ticks crisp\" d=\"M0,192v5\" transform=\"translate(312.01,0)\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; stroke-width: 1px;\"/><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"211.4\" transform=\"translate(131.88,0)\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre; opacity: 1;\">−1</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"211.4\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(191.93,0)\">0</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"211.4\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; 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stroke-opacity: 1; stroke-width: 1px;\"/><path class=\"ytick ticks crisp\" d=\"M92,0h-5\" transform=\"translate(0,89.4)\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; stroke-width: 1px;\"/><path class=\"ytick ticks crisp\" d=\"M92,0h-5\" transform=\"translate(0,67.2)\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; stroke-width: 1px;\"/><path class=\"ytick ticks crisp\" d=\"M92,0h-5\" transform=\"translate(0,45)\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; stroke-width: 1px;\"/><path class=\"ytick ticks crisp\" d=\"M92,0h-5\" transform=\"translate(0,22.8)\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; stroke-width: 1px;\"/><g class=\"ytick\"><text text-anchor=\"end\" x=\"84.6\" y=\"4.199999999999999\" transform=\"translate(0,178.2)\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre; opacity: 1;\">congress</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"84.6\" y=\"4.199999999999999\" transform=\"translate(0,156)\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre; opacity: 1;\">military</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"84.6\" y=\"4.199999999999999\" transform=\"translate(0,133.8)\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre; opacity: 1;\">clinton</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"84.6\" y=\"4.199999999999999\" transform=\"translate(0,111.6)\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre; opacity: 1;\">swamp</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"84.6\" y=\"4.199999999999999\" transform=\"translate(0,89.4)\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre; opacity: 1;\">state</text></g><g class=\"ytick\"><text text-anchor=\"end\" x=\"84.6\" y=\"4.199999999999999\" transform=\"translate(0,67.2)\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; 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stroke: rgb(0, 0, 0); stroke-opacity: 1; fill: rgb(0, 0, 0); fill-opacity: 1; stroke-dasharray: 9px, 9px; stroke-width: 2px;\"/></g></g><g class=\"infolayer\"><g class=\"g-gtitle\"/><g class=\"g-xtitle\"><text class=\"xtitle\" x=\"216.5\" y=\"239.70625\" text-anchor=\"middle\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(36, 36, 36); opacity: 1; font-weight: normal; white-space: pre;\">Model coefficient</text></g><g class=\"g-ytitle\" transform=\"translate(5.1904296875,0)\"><text class=\"ytitle\" transform=\"rotate(-90,9.809375000000003,100.5)\" x=\"9.809375000000003\" y=\"100.5\" text-anchor=\"middle\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(36, 36, 36); opacity: 1; font-weight: normal; white-space: pre;\">Word</text></g></g></svg>"
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stroke-width: 0px; fill: rgb(31, 119, 180); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(115.09,46.34)\" d=\"M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(31, 119, 180); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(133.45,35.18)\" d=\"M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(31, 119, 180); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(145.36,24.01)\" d=\"M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(31, 119, 180); fill-opacity: 1;\"/><path class=\"point\" transform=\"translate(227.1,12.85)\" d=\"M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: rgb(31, 119, 180); fill-opacity: 1;\"/></g><g class=\"text\"/></g></g></g><g class=\"overplot\"/><path class=\"xlines-above crisp\" d=\"M96,192.5H340\" style=\"fill: none; stroke-width: 1px; stroke: rgb(36, 36, 36); stroke-opacity: 1;\"/><path class=\"ylines-above crisp\" d=\"M96.5,10V192\" style=\"fill: none; stroke-width: 1px; stroke: rgb(36, 36, 36); stroke-opacity: 1;\"/><g class=\"overlines-above\"/><g class=\"xaxislayer-above\"><path class=\"xtick ticks crisp\" d=\"M0,193v5\" transform=\"translate(135.3,0)\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; stroke-width: 1px;\"/><path class=\"xtick ticks crisp\" d=\"M0,193v5\" transform=\"translate(194.34,0)\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; stroke-width: 1px;\"/><path class=\"xtick ticks crisp\" d=\"M0,193v5\" transform=\"translate(253.37,0)\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; stroke-width: 1px;\"/><path class=\"xtick ticks crisp\" d=\"M0,193v5\" transform=\"translate(312.40999999999997,0)\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; stroke-width: 1px;\"/><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"212.4\" transform=\"translate(135.3,0)\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(36, 36, 36); fill-opacity: 1; white-space: pre; 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font-size: 14px; fill: rgb(36, 36, 36); opacity: 1; font-weight: normal; white-space: pre;\">Model coefficient</text></g><g class=\"g-ytitle\" transform=\"translate(3.0810546875,0)\"><text class=\"ytitle\" transform=\"rotate(-90,10.918750000000003,101)\" x=\"10.918750000000003\" y=\"101\" text-anchor=\"middle\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(36, 36, 36); opacity: 1; font-weight: normal; white-space: pre;\">Word</text></g></g></svg>"
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      },
      "metadata": {},
@@ -2128,28 +2846,36 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "We can make a quick interpretation of the coefficients by looking at their signs. The large positive values on _trump_ and _investig_ indicate that the model predicts that new articles containing these words have a higher probability of being fake. The reverse is true for words like _congress_ and _vote_, which have negative weights. We can use these coefficients to compare the log odds when an article does or does not contain a particular word. "
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "Although this larger model performs better than the simple one-word model, we had to handpick the word features using our knowledge of the news. What if we missed the words that are highly predictive? To address this, we can incorporate all the words in the articles using the tf-idf transform."
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "## Predicting with the tf-idf Transform"
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "For the third and final model, we use the term frequency-inverse document frequency (tf-idf) transform from {numref}`Chapter %s <ch:text>` to vectorize the entire text of all articles in the train set. Recall that with this transform, an article is converted into a vector with one element for each word that appears in any of the 564 articles. The vector consists of normalized counts of the number of times the word appears in the article normalized by the rareness of the word. The tf-idf puts more weight on words that only appear in a few documents. This means that our classifier uses all the words in the train set's news articles for prediction. As we've done when we introduced tf-idf, first we remove stopwords, then we tokenize the words, and then we use the `TfidfVectorizer` from `scikit-learn`:"
    ]
@@ -2215,12 +2941,12 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[Pipeline]  (step 1 of 3) Processing functiontransformer, total=   0.1s\n",
-      "[Pipeline] . (step 2 of 3) Processing columntransformer, total=  21.8s\n",
-      "[Pipeline]  (step 3 of 3) Processing logisticregressioncv, total=  17.2s\n",
+      "[Pipeline]  (step 1 of 3) Processing functiontransformer, total=   0.0s\n",
+      "[Pipeline] . (step 2 of 3) Processing columntransformer, total=  14.5s\n",
+      "[Pipeline]  (step 3 of 3) Processing logisticregressioncv, total=   6.3s\n",
       "100.0% accuracy on training set.\n",
-      "CPU times: user 1min 35s, sys: 785 ms, total: 1min 36s\n",
-      "Wall time: 1min 1s\n"
+      "CPU times: user 50.2 s, sys: 508 ms, total: 50.7 s\n",
+      "Wall time: 34.2 s\n"
      ]
     }
    ],
@@ -2233,7 +2959,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "We find that this model achieves 100% accuracy on the train set. We can take a look at the tf-idf transformer to better understand the model. Let's start by finding out how many unique tokens the classifier uses:"
    ]
@@ -2247,7 +2975,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "23804 tokens appeared across 584 examples.\n"
+      "23800 tokens appeared across 584 examples.\n"
      ]
     }
    ],
@@ -2259,7 +2987,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "This means that our classifier has 23,812 features, a large increase from our previous model, which only had 15. Since we can't display that many model weights, we display the 10 most negative and 10 most positive weights:"
    ]
@@ -2293,16 +3023,16 @@
          "showlegend": false,
          "type": "scatter",
          "x": [
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-          -8.622167614878974,
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-          -10.856795124382575,
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+          -7.444288731280562,
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+          -9.428218289910893,
+          -10.852369128231796,
+          -12.172324052340274
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          "xaxis": "x",
          "y": [
@@ -2332,16 +3062,16 @@
          "showlegend": false,
          "type": "scatter",
          "x": [
-          7.816642841046456,
-          7.9466439326034894,
-          8.238135110073914,
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+          7.819399964328519,
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+          8.237791290322392,
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+          8.366276156321494,
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+          10.759163202283311,
+          10.900246697581567
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          "xaxis": "x2",
          "y": [
@@ -2741,12 +3471,10 @@
           ],
           "scatter": [
            {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 1,
-              "tickcolor": "rgb(36,36,36)",
-              "ticks": "outside"
-             }
+            "fillpattern": {
+             "fillmode": "overlay",
+             "size": 10,
+             "solidity": 0.2
             },
             "type": "scatter"
            }
@@ -3241,8 +3969,8 @@
           0.425
          ],
          "range": [
-          -12.52435768276878,
-          -7.093846685792976
+          -12.525765266195856,
+          -7.0908475174249785
          ],
          "title": {
           "text": "Model coefficient"
@@ -3257,8 +3985,8 @@
           1
          ],
          "range": [
-          7.586321261786809,
-          11.129402988901976
+          7.589093264999567,
+          11.13055339691052
          ],
          "title": {
           "text": "Model coefficient"
@@ -3296,9 +4024,9 @@
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        }
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",
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       ]
      },
      "metadata": {},
@@ -3323,21 +4051,25 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "These coefficients show a few quirks about this model. We see that several influential features correspond to punctuation in the original text. It's unclear whether we should clean out the punctuation in the model. On the one hand, punctuation doesn't seem to convey as much meaning as words do. On the other, it seems plausible that, for example, lots of explanation points in an article could help a model decide whether the article is real or fake. In this case, we've decided to keep punctuation, but curious readers can repeat this analysis after stripping the punctuation out to see how the resulting model is affected."
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "We conclude by displaying the test set error for all three models:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 25,
    "metadata": {
     "tags": [
      "hide-input"
@@ -3392,7 +4124,7 @@
        "model3            0.88"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3407,21 +4139,28 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "As we might expect, the models became more accurate as we introduced more features. The model that used tf-idf performed much better than the models with binary handpicked word features, but it did not meet the 100% accuracy obtained on the train set. This illustrates a common trade-off in modeling: given enough data, more complex models can often outperform simpler ones, especially in situations like this case study where simpler models have too much model bias to perform well. However, complex models can be more difficult to interpret. For example, our tf-idf model had over 20,000 features, which makes it basically impossible to explain how our model makes its decisions. In addition, the tf-idf model takes much longer to make predictions---it's over 100 times slower compared to model 2. All of these factors need to be considered when deciding which model to use in practice."
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "user_expressions": []
+   },
    "source": [
     "In addition, we need to be careful about what our models are useful for. In this case, our models use the content of the news articles for prediction, making them highly dependent on the words that appear in the train set. However, our models will likely not perform as well on future news articles that use words that didn't appear in the train set. For example, our models use the US election candidates' names in 2016 for prediction, but they won't know to incorporate the names of the candidates in 2020 or 2024. To use our models in the longer term, we would need to address this issue of *drift*. "
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "tags": [],
+    "user_expressions": []
+   },
    "source": [
     "That said, it's surprising that a logistic regression model can perform well with a relatively small amount of feature engineering (tf-idf). We've addressed our original research question: our tf-idf model appears effective for detecting fake news in our dataset, and it could plausibly generalize to other news published in the same time period covered in the training data."
    ]
@@ -3430,7 +4169,7 @@
  "metadata": {
   "celltoolbar": "Tags",
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
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@@ -3444,7 +4183,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.4"
+   "version": "3.10.12"
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