diff --git a/content/Amnesty-dashboard.ipynb b/content/Amnesty-dashboard.ipynb
index feb0c12..d784cc7 100644
--- a/content/Amnesty-dashboard.ipynb
+++ b/content/Amnesty-dashboard.ipynb
@@ -2,88 +2,10 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "70810d90-fb63-4ff1-a623-8a36acec4aab",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/var/folders/sw/4wgd3t055gxbcfg0yp7297480000gn/T/ipykernel_29493/729717769.py:1: DeprecationWarning: \n",
-      "Pyarrow will become a required dependency of pandas in the next major release of pandas (pandas 3.0),\n",
-      "(to allow more performant data types, such as the Arrow string type, and better interoperability with other libraries)\n",
-      "but was not found to be installed on your system.\n",
-      "If this would cause problems for you,\n",
-      "please provide us feedback at https://github.com/pandas-dev/pandas/issues/54466\n",
-      "        \n",
-      "  import pandas as pd\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Requirement already satisfied: ipywidgets in /Users/fbarnea/.virtualenvs/amnesty_UNHRC/lib/python3.10/site-packages (8.1.1)\n",
-      "Requirement already satisfied: comm>=0.1.3 in /Users/fbarnea/.virtualenvs/amnesty_UNHRC/lib/python3.10/site-packages (from ipywidgets) (0.2.1)\n",
-      "Requirement already satisfied: ipython>=6.1.0 in /Users/fbarnea/.virtualenvs/amnesty_UNHRC/lib/python3.10/site-packages (from ipywidgets) (8.20.0)\n",
-      "Requirement already satisfied: traitlets>=4.3.1 in /Users/fbarnea/.virtualenvs/amnesty_UNHRC/lib/python3.10/site-packages (from ipywidgets) (5.14.1)\n",
-      "Requirement already satisfied: widgetsnbextension~=4.0.9 in /Users/fbarnea/.virtualenvs/amnesty_UNHRC/lib/python3.10/site-packages (from ipywidgets) (4.0.9)\n",
-      "Requirement already satisfied: jupyterlab-widgets~=3.0.9 in /Users/fbarnea/.virtualenvs/amnesty_UNHRC/lib/python3.10/site-packages (from ipywidgets) (3.0.9)\n",
-      "Requirement already satisfied: decorator in /Users/fbarnea/.virtualenvs/amnesty_UNHRC/lib/python3.10/site-packages (from ipython>=6.1.0->ipywidgets) (5.1.1)\n",
-      "Requirement already satisfied: jedi>=0.16 in /Users/fbarnea/.virtualenvs/amnesty_UNHRC/lib/python3.10/site-packages (from ipython>=6.1.0->ipywidgets) (0.19.1)\n",
-      "Requirement already satisfied: matplotlib-inline in /Users/fbarnea/.virtualenvs/amnesty_UNHRC/lib/python3.10/site-packages (from ipython>=6.1.0->ipywidgets) (0.1.6)\n",
-      "Requirement already satisfied: prompt-toolkit<3.1.0,>=3.0.41 in /Users/fbarnea/.virtualenvs/amnesty_UNHRC/lib/python3.10/site-packages (from ipython>=6.1.0->ipywidgets) (3.0.43)\n",
-      "Requirement already satisfied: pygments>=2.4.0 in /Users/fbarnea/.virtualenvs/amnesty_UNHRC/lib/python3.10/site-packages (from ipython>=6.1.0->ipywidgets) (2.17.2)\n",
-      "Requirement already satisfied: stack-data in /Users/fbarnea/.virtualenvs/amnesty_UNHRC/lib/python3.10/site-packages (from ipython>=6.1.0->ipywidgets) (0.6.3)\n",
-      "Requirement already satisfied: exceptiongroup in /Users/fbarnea/.virtualenvs/amnesty_UNHRC/lib/python3.10/site-packages (from ipython>=6.1.0->ipywidgets) (1.2.0)\n",
-      "Requirement already satisfied: pexpect>4.3 in /Users/fbarnea/.virtualenvs/amnesty_UNHRC/lib/python3.10/site-packages (from ipython>=6.1.0->ipywidgets) (4.9.0)\n",
-      "Requirement already satisfied: parso<0.9.0,>=0.8.3 in /Users/fbarnea/.virtualenvs/amnesty_UNHRC/lib/python3.10/site-packages (from jedi>=0.16->ipython>=6.1.0->ipywidgets) (0.8.3)\n",
-      "Requirement already satisfied: ptyprocess>=0.5 in /Users/fbarnea/.virtualenvs/amnesty_UNHRC/lib/python3.10/site-packages (from pexpect>4.3->ipython>=6.1.0->ipywidgets) (0.7.0)\n",
-      "Requirement already satisfied: wcwidth in /Users/fbarnea/.virtualenvs/amnesty_UNHRC/lib/python3.10/site-packages (from prompt-toolkit<3.1.0,>=3.0.41->ipython>=6.1.0->ipywidgets) (0.2.13)\n",
-      "Requirement already satisfied: executing>=1.2.0 in /Users/fbarnea/.virtualenvs/amnesty_UNHRC/lib/python3.10/site-packages (from stack-data->ipython>=6.1.0->ipywidgets) (2.0.1)\n",
-      "Requirement already satisfied: asttokens>=2.1.0 in /Users/fbarnea/.virtualenvs/amnesty_UNHRC/lib/python3.10/site-packages (from stack-data->ipython>=6.1.0->ipywidgets) (2.4.1)\n",
-      "Requirement already satisfied: pure-eval in /Users/fbarnea/.virtualenvs/amnesty_UNHRC/lib/python3.10/site-packages (from stack-data->ipython>=6.1.0->ipywidgets) (0.2.2)\n",
-      "Requirement already satisfied: six>=1.12.0 in /Users/fbarnea/.virtualenvs/amnesty_UNHRC/lib/python3.10/site-packages (from asttokens>=2.1.0->stack-data->ipython>=6.1.0->ipywidgets) (1.16.0)\n",
-      "Requirement already satisfied: colorcet in /Users/fbarnea/.virtualenvs/amnesty_UNHRC/lib/python3.10/site-packages (3.0.1)\n",
-      "Requirement already satisfied: pyct>=0.4.4 in /Users/fbarnea/.virtualenvs/amnesty_UNHRC/lib/python3.10/site-packages (from colorcet) (0.5.0)\n",
-      "Requirement already satisfied: param>=1.7.0 in /Users/fbarnea/.virtualenvs/amnesty_UNHRC/lib/python3.10/site-packages (from pyct>=0.4.4->colorcet) (2.0.2)\n",
-      "usage: jupyter [-h] [--version] [--config-dir] [--data-dir] [--runtime-dir]\n",
-      "               [--paths] [--json] [--debug]\n",
-      "               [subcommand]\n",
-      "\n",
-      "Jupyter: Interactive Computing\n",
-      "\n",
-      "positional arguments:\n",
-      "  subcommand     the subcommand to launch\n",
-      "\n",
-      "options:\n",
-      "  -h, --help     show this help message and exit\n",
-      "  --version      show the versions of core jupyter packages and exit\n",
-      "  --config-dir   show Jupyter config dir\n",
-      "  --data-dir     show Jupyter data dir\n",
-      "  --runtime-dir  show Jupyter runtime dir\n",
-      "  --paths        show all Jupyter paths. Add --json for machine-readable\n",
-      "                 format.\n",
-      "  --json         output paths as machine-readable json\n",
-      "  --debug        output debug information about paths\n",
-      "\n",
-      "Available subcommands: dejavu events execute kernel kernelspec lab\n",
-      "labextension labhub lite migrate nbconvert notebook piplite run server\n",
-      "troubleshoot trust\n",
-      "\n",
-      "Jupyter command `jupyter-nbextension` not found.\n"
-     ]
-    },
-    {
-     "data": {
-      "application/javascript": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\nconst JS_MIME_TYPE = 'application/javascript';\n  const HTML_MIME_TYPE = 'text/html';\n  const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n  const CLASS_NAME = 'output_bokeh rendered_html';\n\n  /**\n   * Render data to the DOM node\n   */\n  function render(props, node) {\n    const script = document.createElement(\"script\");\n    node.appendChild(script);\n  }\n\n  /**\n   * Handle when an output is cleared or removed\n   */\n  function handleClearOutput(event, handle) {\n    function drop(id) {\n      const view = Bokeh.index.get_by_id(id)\n      if (view != null) {\n        view.model.document.clear()\n        Bokeh.index.delete(view)\n      }\n    }\n\n    const cell = handle.cell;\n\n    const id = cell.output_area._bokeh_element_id;\n    const server_id = cell.output_area._bokeh_server_id;\n\n    // Clean up Bokeh references\n    if (id != null) {\n      drop(id)\n    }\n\n    if (server_id !== undefined) {\n      // Clean up Bokeh references\n      const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n      cell.notebook.kernel.execute(cmd_clean, {\n        iopub: {\n          output: function(msg) {\n            const id = msg.content.text.trim()\n            drop(id)\n          }\n        }\n      });\n      // Destroy server and session\n      const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n      cell.notebook.kernel.execute(cmd_destroy);\n    }\n  }\n\n  /**\n   * Handle when a new output is added\n   */\n  function handleAddOutput(event, handle) {\n    const output_area = handle.output_area;\n    const output = handle.output;\n\n    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n    if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n      return\n    }\n\n    const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n\n    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n      // store reference to embed id on output_area\n      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n    }\n    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n      const bk_div = document.createElement(\"div\");\n      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n      const script_attrs = bk_div.children[0].attributes;\n      for (let i = 0; i < script_attrs.length; i++) {\n        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n        toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n      }\n      // store reference to server id on output_area\n      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n    }\n  }\n\n  function register_renderer(events, OutputArea) {\n\n    function append_mime(data, metadata, element) {\n      // create a DOM node to render to\n      const toinsert = this.create_output_subarea(\n        metadata,\n        CLASS_NAME,\n        EXEC_MIME_TYPE\n      );\n      this.keyboard_manager.register_events(toinsert);\n      // Render to node\n      const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n      render(props, toinsert[toinsert.length - 1]);\n      element.append(toinsert);\n      return toinsert\n    }\n\n    /* Handle when an output is cleared or removed */\n    events.on('clear_output.CodeCell', handleClearOutput);\n    events.on('delete.Cell', handleClearOutput);\n\n    /* Handle when a new output is added */\n    events.on('output_added.OutputArea', handleAddOutput);\n\n    /**\n     * Register the mime type and append_mime function with output_area\n     */\n    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n      /* Is output safe? */\n      safe: true,\n      /* Index of renderer in `output_area.display_order` */\n      index: 0\n    });\n  }\n\n  // register the mime type if in Jupyter Notebook environment and previously unregistered\n  if (root.Jupyter !== undefined) {\n    const events = require('base/js/events');\n    const OutputArea = require('notebook/js/outputarea').OutputArea;\n\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  }\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    const el = document.getElementById(null);\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.3.3.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n          for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(null)).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));",
-      "application/vnd.bokehjs_load.v0+json": ""
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import pandas as pd\n",
     "import numpy as np\n",
@@ -119,59 +41,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "id": "0d001116",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<stile>.container {width:100% !important;}</style>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "display(HTML(\"<stile>.container {width:100% !important;}</style>\"))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "id": "dc64675b",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<script>\n",
-       "code_show=true; \n",
-       "function code_toggle() {\n",
-       " if (code_show){\n",
-       " $('div.input').hide();\n",
-       " } else {\n",
-       " $('div.input').show();\n",
-       " }\n",
-       " code_show = !code_show\n",
-       "} \n",
-       "$( document ).ready(code_toggle);\n",
-       "</script>\n",
-       "<form action=\"javascript:code_toggle()\"><input type=\"submit\" value=\"Click here to toggle on/off the raw code.\"></form>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "HTML('''<script>\n",
     "code_show=true; \n",
@@ -190,7 +73,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "id": "13f3d8ab-75d6-4eb4-8018-6b7ad4610505",
    "metadata": {},
    "outputs": [],
@@ -362,6 +245,8 @@
     "\n",
     "\n",
     "def calculate_alignment(row):\n",
+    "    if row[\"Country\"] == \"China\":\n",
+    "        return 1\n",
     "    if row[\"China Vote\"] == \"Abstaining\":\n",
     "        return 0\n",
     "    if row[\"Vote\"] == row[\"China Vote\"]:\n",
@@ -541,23 +426,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "id": "f350f9a1-a0b9-41dd-b5d8-8222236dcaab",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/javascript": "(function(root) {\n  function embed_document(root) {\n  const docs_json = {\"30867357-b5b6-4989-82eb-9b5d17bf5ed6\":{\"version\":\"3.3.3\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Column\",\"id\":\"p1081\",\"attributes\":{\"children\":[{\"type\":\"object\",\"name\":\"Slider\",\"id\":\"p1042\",\"attributes\":{\"js_property_callbacks\":{\"type\":\"map\",\"entries\":[[\"change:value\",[{\"type\":\"object\",\"name\":\"CustomJS\",\"id\":\"p1043\",\"attributes\":{\"args\":{\"type\":\"map\",\"entries\":[[\"source\",{\"type\":\"object\",\"name\":\"GeoJSONDataSource\",\"id\":\"p1001\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p1002\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p1003\"},\"geojson\":\"{\\\"type\\\": \\\"FeatureCollection\\\", \\\"features\\\": [{\\\"id\\\": \\\"13\\\", \\\"type\\\": 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-      "application/vnd.bokehjs_exec.v0+json": ""
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-     "output_type": "display_data"
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-   ],
+   "outputs": [],
    "source": [
     "# Years and countries to normalize data\n",
     "years = pd.DataFrame({\"Year\": df[\"Year\"].unique()})\n",
@@ -717,23 +589,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "id": "dd27dace",
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-      "application/vnd.bokehjs_exec.v0+json": ""
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-     "metadata": {
-      "application/vnd.bokehjs_exec.v0+json": {
-       "id": "p1089"
-      }
-     },
-     "output_type": "display_data"
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-   ],
+   "outputs": [],
    "source": [
     "fa = df_fa\n",
     "votes = df_votes\n",
@@ -845,47 +704,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "id": "8d35e003",
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-   "outputs": [
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-      "application/vnd.bokehjs_exec.v0+json": ""
-     },
-     "metadata": {
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 const render_items = [{\"docid\":\"1a5b517b-794e-4ebf-82a6-edf6fa0de3a6\",\"roots\":{\"p1407\":\"d79f5b95-5da5-4880-8984-88ebbf42baee\"},\"root_ids\":[\"p1407\"]}];\n  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n  }\n  if (root.Bokeh !== undefined) {\n    embed_document(root);\n  } else {\n    let attempts = 0;\n    const timer = setInterval(function(root) {\n      if (root.Bokeh !== undefined) {\n        clearInterval(timer);\n        embed_document(root);\n      } else {\n        attempts++;\n        if (attempts > 100) {\n          clearInterval(timer);\n          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n        }\n      }\n    }, 10, root)\n  }\n})(window);",
-      "application/vnd.bokehjs_exec.v0+json": ""
-     },
-     "metadata": {
-      "application/vnd.bokehjs_exec.v0+json": {
-       "id": "p1407"
-      }
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "votes = df_votes\n",
     "\n",
@@ -959,28 +781,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "id": "e52bdc8a",
    "metadata": {},
-   "outputs": [
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-      "application/vnd.bokehjs_exec.v0+json": ""
-     },
-     "metadata": {
-      "application/vnd.bokehjs_exec.v0+json": {
-       "id": "p1228"
-      }
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import math\n",
     "fa = df_fa\n",
     "votes = df_votes\n",
-    "\n",
+    "def get_label_percentage(x):\n",
+    "    if math.isnan(x):\n",
+    "        return 0\n",
+    "    return str(round(x,2))+\"%\"\n",
     "\n",
     "def get_label(x):\n",
     "    if math.isnan(x):\n",
@@ -995,7 +807,7 @@
     "def plot(fa_type, country):\n",
     "    plot = None\n",
     "    group_by = {\"Year\", \"Country\"}\n",
-    "    filtered_votes = df_votes\n",
+    "    filtered_votes = votes\n",
     "    filtered_fa = fa\n",
     "    years = pd.DataFrame({\"Year\": df[\"Year\"].unique()})\n",
     "\n",
@@ -1030,14 +842,19 @@
     "            fa=filtered_fa[fa_type],\n",
     "            fa_labels=filtered_fa[fa_type].apply(get_label),\n",
     "            alignment_percentage=filtered_votes[\"alignment_percentage\"],\n",
-    "            alignment_color=filtered_votes[\"alignment_percentage\"].apply(get_alignment_color)\n",
+    "            alignment_color=filtered_votes[\"alignment_percentage\"].apply(get_alignment_color),\n",
+    "            alignment_label = filtered_votes[\"alignment_percentage\"].apply(get_label_percentage)\n",
     "        )\n",
     "    )\n",
     "    labels = LabelSet(\n",
     "        x=\"x\", y=\"fa\", text=\"fa_labels\", x_offset=-15, y_offset=5, source=source\n",
     "    )\n",
+    "    labels2 = LabelSet(\n",
+    "        x=\"x\", y=\"alignment_percentage\",y_range_name=\"percent\", text=\"alignment_label\", x_offset=-35, y_offset=10, source=source\n",
+    "    )\n",
     "    plot = figure(width=950, height=600, title=\"FA vs Alignment per country\")\n",
     "    plot.add_layout(labels)\n",
+    "    plot.add_layout(labels2)\n",
     "    plot.y_range = Range1d(\n",
     "        start=-(filtered_fa[fa_type].max() + filtered_fa[fa_type].max() / 2), end=filtered_fa[fa_type].max() + filtered_fa[fa_type].max() / 2\n",
     "    )\n",
@@ -1046,6 +863,13 @@
     "        LinearAxis(y_range_name=\"percent\", axis_label=\"Alignment Percentage\"),\n",
     "        \"right\",\n",
     "    )\n",
+    "    plot.vbar(\n",
+    "        x=x,\n",
+    "        top=filtered_fa[fa_type],\n",
+    "        width=0.9,\n",
+    "        fill_color=PuBu[7][2],\n",
+    "        legend_label=f\"Financial assistance:{fa_type}\",\n",
+    "    )\n",
     "    plot.circle(\n",
     "        x=\"x\",\n",
     "        y=\"alignment_percentage\",\n",
@@ -1055,20 +879,14 @@
     "        legend_label=\"Alignment %\",\n",
     "        source=source\n",
     "    )\n",
-    "    plot.vbar(\n",
-    "        x=x,\n",
-    "        top=filtered_fa[fa_type],\n",
-    "        width=0.9,\n",
-    "        fill_color=PuBu[7][2],\n",
-    "        legend_label=f\"Financial assistance:{fa_type}\",\n",
-    "    )\n",
     "    plot.xaxis.ticker = list(range(x.min(), x.max()))\n",
     "\n",
     "    show(plot)\n",
     "\n",
     "fa_type = get_filter(\"fa_type\")\n",
     "country = get_filter(\"country\")\n",
-    "plot4 = widgets.interactive(plot, fa_type=fa_type, country=country)\n"
+    "plot4 = widgets.interactive(plot, fa_type=fa_type, country=country)\n",
+    "display(plot4)\n"
    ]
   },
   {
@@ -1081,33 +899,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "id": "4ddcac8a",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-      "application/vnd.bokehjs_exec.v0+json": ""
-     },
-     "metadata": {
-      "application/vnd.bokehjs_exec.v0+json": {
-       "id": "p1301"
-      }
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "\n",
     "vac = df_vac\n",
     "votes = df_votes\n",
-    "\n",
-    "def get_label_percentage(x):\n",
-    "    if math.isnan(x):\n",
-    "        return 0\n",
-    "    return str(round(x,2))+\"%\"\n",
-    "\n",
     "def plot(country):\n",
     "    plot = None\n",
     "    group_by = {\"Year\", \"Country\"}\n",
@@ -1163,32 +962,16 @@
     "    show(plot)\n",
     "\n",
     "fa_type = get_filter(\"fa_type\")\n",
-    "country = widgets.Dropdown(options = df_vac[\"Country\"].unique().tolist())\n",
-    "plot5 = widgets.interactive(plot, country=country)\n"
+    "country = widgets.Dropdown(options = df_votes[\"Country\"].unique().tolist())\n",
+    "plot5 = widgets.interactive(plot, country=country)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "id": "1230bcbe",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "e4eb06cbad37476fb964b767b384f4f6",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "VBox(children=(HBox(children=(Button(description='Map', style=ButtonStyle()), Button(description='CVA pre and …"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "\n",
     "buttons = []\n",
@@ -1201,36 +984,39 @@
     "def on_map_button_clicked(b):\n",
     "    plot = plot1\n",
     "    on_button_clicked(plot)\n",
-    "\n",
-    "def cva_pre_post_clicked(b):\n",
-    "    plot = plot5\n",
-    "    on_button_clicked(plot)\n",
-    "def cva_vs_fa_per_country_clicked(b):\n",
-    "    plot = plot4\n",
+    "def ova_per_country_group_and_topic_clicked(b):\n",
+    "    plot = plot2\n",
     "    on_button_clicked(plot)\n",
     "def ova_per_topic_clicked(b):\n",
     "    plot = plot3\n",
     "    on_button_clicked(plot)\n",
-    "def ova_per_country_group_and_topic_clicked(b):\n",
-    "    plot = plot2\n",
+    "def cva_vs_fa_per_country_clicked(b):\n",
+    "    plot = plot4\n",
     "    on_button_clicked(plot)\n",
+    "    \n",
+    "def cva_pre_post_clicked(b):\n",
+    "    plot = plot5\n",
+    "    on_button_clicked(plot)\n",
+    "\n",
+    "\n",
+    "\n",
     "\n",
     "\n",
     "map_button = widgets.Button(description=\"Map\")\n",
     "map_button.on_click(on_map_button_clicked)\n",
-    "buttons.append(map_button)\n",
     "cva_pre_post_vaccine = widgets.Button(description=\"CVA pre and post vaccine donation\")\n",
-    "buttons.append(cva_pre_post_vaccine)\n",
     "cva_pre_post_vaccine.on_click(cva_pre_post_clicked)\n",
     "cva_vs_fa_per_country = widgets.Button(description=\"CVA vs. FA per country\")\n",
-    "buttons.append(cva_vs_fa_per_country)\n",
     "cva_vs_fa_per_country.on_click(cva_vs_fa_per_country_clicked)\n",
     "ova_per_topic = widgets.Button(description=\"Overall VA per topic\")\n",
-    "buttons.append(ova_per_topic)\n",
     "ova_per_topic.on_click(ova_per_topic_clicked)\n",
     "ova_per_country_group_and_topic = widgets.Button(description=\"Overall VA Country Group and topic\")\n",
-    "buttons.append(ova_per_country_group_and_topic)\n",
     "ova_per_country_group_and_topic.on_click(ova_per_country_group_and_topic_clicked)\n",
+    "buttons.append(map_button)\n",
+    "buttons.append(ova_per_country_group_and_topic)\n",
+    "buttons.append(ova_per_topic)\n",
+    "buttons.append(cva_vs_fa_per_country)\n",
+    "buttons.append(cva_pre_post_vaccine)\n",
     "\n",
     "\n",
     "widgets.VBox([widgets.HBox([button for button in buttons]), out])\n",
@@ -1244,6 +1030,14 @@
    "metadata": {},
    "outputs": [],
    "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3b36aaf8-db2b-4c68-b89d-c3fc296e0928",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {