Kyiv spelling trends visualization.ipynb

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    "#### Lydia Yampolsky - Data Visualization - Spring 2022\n",
    "\n",
    "Ukraine's capital is transliterated into Latinate alphabets from the Ukraininan language as 'Kyiv' and from Russian as 'Kiev', reflecting a slight difference in pronunciation (Ukrainian /'ki.ɪv/ or /kiv/ vs Russian /'ki.əv/). The Russian spelling was imposed until 1995, when the Ukrainian government changed the official spelling to reflect an independent Ukrainian identity. Since then, efforts have been made to encourage usage of the Ukrainian spelling and pronunciation as a sign of solidarity with Ukraine's independece from Russia. In 2018, the Ukrainian Ministry of Foreign Affairs launched an online campaign with the hashtag #KyivNotKiev, urging people to use the Ukrainian name for capital. The call to use the spelling as a sign of support has increased since Russia's full-scale invasion of Ukraine in February of 2022, an expansion of the Russo-Ukrainian War beginning in February of 2014.\n",
    "\n",
    "I am using this script to get data about the tendency in spelling(s) of 'Kyiv' over the last ten years, and before and after the 2022 invasion. I will pull the 100 top scoring Reddit comments from each of the last ten years that contain either spelling and create a visualization of the trend in usage. The goal is to show how the sentiment against the war influences written convention, an example of how language marks people as belonging to certain groups or in support of social movements, and how the internet spurs a global realization of this function of language."
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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(\"1002\");\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\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  \n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.2.min.js\"];\n  const css_urls = [];\n  \n\n  const inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n    \n    \n    }\n  ];\n\n  function run_inline_js() {\n    \n    if (root.Bokeh !== undefined || force === true) {\n      \n    for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n    if (force === true) {\n        display_loaded();\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(\"1002\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\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));"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# imports\n",
    "# API to get Reddit data\n",
    "from psaw import PushshiftAPI\n",
    "import praw\n",
    "\n",
    "ID = '8OdWpDB2wT7WUJynezxMdQ'\n",
    "secret = 'iZlWbCDzofAYDBAhEgzxcbEFiHngZA'\n",
    "import requests\n",
    "auth = requests.auth.HTTPBasicAuth(ID, secret)\n",
    "\n",
    "# other tools\n",
    "import datetime as dt\n",
    "import pandas as pd\n",
    "import pandas_bokeh\n",
    "pandas_bokeh.output_notebook()\n",
    "import re\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import colors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [],
   "source": [
    "# setup to use the API\n",
    "def keys(name):\n",
    "        # Return the API key from an API name\n",
    "        keychain = {\n",
    "                                'RedditID':'8OdWpDB2wT7WUJynezxMdQ',\n",
    "                                'RedditSECRET':'iZlWbCDzofAYDBAhEgzxcbEFiHngZA',\n",
    "                                'RedditUSERAG':'Chrome:DVfinal.py:v1.0.0 by /u/RegularGazelle',\n",
    "                                'RedditUSER':'RegularGazelle',\n",
    "                                'RedditPSWD':'*Ni/3tLx7AAh4EL'}\n",
    "        return keychain[name]\n",
    "    \n",
    "    \n",
    "reddit = praw.Reddit(client_id = keys('RedditID'),\n",
    "                                client_secret = keys('RedditSECRET'),\n",
    "                                user_agent = keys('RedditUSERAG'), password = keys('RedditPSWD'),\n",
    "                    username = keys('RedditUSER'))\n",
    "\n",
    "api = PushshiftAPI(reddit)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get data from the API\n",
    "def get_pushshift_data(data_type, **kwargs):\n",
    "    base_url = f\"https://api.pushshift.io/reddit/search/{data_type}/\"\n",
    "    payload = kwargs\n",
    "    request = requests.get(base_url, params=payload)\n",
    "    return request.json()\n",
    "\n",
    "# see if the comment contains the Ukrainian (1) or Russian (0) spelling.\n",
    "def spelling(string):\n",
    "    if bool(re.search('[K,k]yiv', string)):\n",
    "        return 1\n",
    "    elif bool(re.search('[K,k]iev', string)):\n",
    "        return 0\n",
    "    else:\n",
    "        return None\n",
    "\n",
    "# put the data in a DataFrame\n",
    "# The API only returns a maximum of 100 comments per query, so I pulled the top responses from each of the last 10 years.  \n",
    "# This returns comments containing either spelling. The q paramter is case-insensitive\n",
    "dfs = []\n",
    "\n",
    "for i in range(10):\n",
    "    comments = get_pushshift_data(data_type = \"comment\",\n",
    "                                  q = 'kyiv|kiev',\n",
    "                                  limit = 100,\n",
    "                                  sort_type = 'score',\n",
    "                                  sort = 'desc',\n",
    "                                  after = str(10-i) + 'y', \n",
    "                                  before = str(9-i) + 'y'\n",
    "    )\n",
    "    data = []\n",
    "    for comment in comments['data']:\n",
    "        data.append({\n",
    "        \"comment id\": comment.get('id'),\n",
    "        \"sub\": comment.get('subreddit'),\n",
    "        \"time\": comment.get('created_utc'),\n",
    "        \"text\": comment.get('body'),\n",
    "        \"score\": comment.get('score'),\n",
    "        \"Ukr_spelling\": spelling(comment.get('body'))\n",
    "    })\n",
    "    df = pd.DataFrame(data)\n",
    "    dfs.append(df)\n",
    "\n",
    "big_df = pd.concat(dfs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>comment id</th>\n",
       "      <th>sub</th>\n",
       "      <th>time</th>\n",
       "      <th>text</th>\n",
       "      <th>score</th>\n",
       "      <th>Ukr_spelling</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>c9atyjp</td>\n",
       "      <td>AskReddit</td>\n",
       "      <td>2013-04-08 07:30:40</td>\n",
       "      <td>My master's thesis, my bachelor's diploma, my ...</td>\n",
       "      <td>969</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>c8lnl5w</td>\n",
       "      <td>AskReddit</td>\n",
       "      <td>2013-02-25 18:37:48</td>\n",
       "      <td>I'm Ukrainian, I moved to the states when I wa...</td>\n",
       "      <td>942</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>c8lns8w</td>\n",
       "      <td>AskReddit</td>\n",
       "      <td>2013-02-25 18:47:43</td>\n",
       "      <td>&amp;gt;Imagine dragging a gradient from west to e...</td>\n",
       "      <td>746</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>c9l8dkv</td>\n",
       "      <td>leagueoflegends</td>\n",
       "      <td>2013-04-23 16:50:00</td>\n",
       "      <td>The popular perception that TheOddOne was in a...</td>\n",
       "      <td>684</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>c8lfucq</td>\n",
       "      <td>pics</td>\n",
       "      <td>2013-02-25 12:27:00</td>\n",
       "      <td>Is ship\\n\\nIs night\\n\\nIs flags\\n\\nIs building...</td>\n",
       "      <td>666</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>ho57vr7</td>\n",
       "      <td>hoi4</td>\n",
       "      <td>2021-12-11 11:48:03</td>\n",
       "      <td>I just do logistics strike on the defensive, o...</td>\n",
       "      <td>301</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>hjtjks2</td>\n",
       "      <td>worldnews</td>\n",
       "      <td>2021-11-08 10:34:41</td>\n",
       "      <td>In short.  \\n\\n\\n\\- Belarus become totalitaria...</td>\n",
       "      <td>299</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>h9sntq2</td>\n",
       "      <td>HistoryMemes</td>\n",
       "      <td>2021-08-21 10:05:15</td>\n",
       "      <td>There's like 5 movies about stalingrad. Yet no...</td>\n",
       "      <td>297</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>hnqz5yx</td>\n",
       "      <td>HistoryMemes</td>\n",
       "      <td>2021-12-08 12:36:24</td>\n",
       "      <td>Kyiv, early 1980s:\\n\\nA man goes to apply for ...</td>\n",
       "      <td>296</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>hwhosdo</td>\n",
       "      <td>tf2</td>\n",
       "      <td>2022-02-11 05:07:09</td>\n",
       "      <td>First one should be called KFC bucket (Kiev Fr...</td>\n",
       "      <td>295</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>998 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   comment id              sub                time  \\\n",
       "0     c9atyjp        AskReddit 2013-04-08 07:30:40   \n",
       "1     c8lnl5w        AskReddit 2013-02-25 18:37:48   \n",
       "2     c8lns8w        AskReddit 2013-02-25 18:47:43   \n",
       "3     c9l8dkv  leagueoflegends 2013-04-23 16:50:00   \n",
       "4     c8lfucq             pics 2013-02-25 12:27:00   \n",
       "..        ...              ...                 ...   \n",
       "94    ho57vr7             hoi4 2021-12-11 11:48:03   \n",
       "95    hjtjks2        worldnews 2021-11-08 10:34:41   \n",
       "96    h9sntq2     HistoryMemes 2021-08-21 10:05:15   \n",
       "97    hnqz5yx     HistoryMemes 2021-12-08 12:36:24   \n",
       "98    hwhosdo              tf2 2022-02-11 05:07:09   \n",
       "\n",
       "                                                 text  score  Ukr_spelling  \\\n",
       "0   My master's thesis, my bachelor's diploma, my ...    969           1.0   \n",
       "1   I'm Ukrainian, I moved to the states when I wa...    942           0.0   \n",
       "2   &gt;Imagine dragging a gradient from west to e...    746           0.0   \n",
       "3   The popular perception that TheOddOne was in a...    684           0.0   \n",
       "4   Is ship\\n\\nIs night\\n\\nIs flags\\n\\nIs building...    666           0.0   \n",
       "..                                                ...    ...           ...   \n",
       "94  I just do logistics strike on the defensive, o...    301           0.0   \n",
       "95  In short.  \\n\\n\\n\\- Belarus become totalitaria...    299           0.0   \n",
       "96  There's like 5 movies about stalingrad. Yet no...    297           0.0   \n",
       "97  Kyiv, early 1980s:\\n\\nA man goes to apply for ...    296           1.0   \n",
       "98  First one should be called KFC bucket (Kiev Fr...    295           0.0   \n",
       "\n",
       "    year  \n",
       "0   2013  \n",
       "1   2013  \n",
       "2   2013  \n",
       "3   2013  \n",
       "4   2013  \n",
       "..   ...  \n",
       "94  2021  \n",
       "95  2021  \n",
       "96  2021  \n",
       "97  2021  \n",
       "98  2022  \n",
       "\n",
       "[998 rows x 7 columns]"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# clean up\n",
    "# convert time column from UTC to datetime objects and add a year column\n",
    "def dt_from_time(row):\n",
    "    return dt.datetime.fromtimestamp(row[\"time\"])\n",
    "\n",
    "big_df[\"time\"] = big_df.apply(dt_from_time, axis = 1)\n",
    "big_df[\"year\"] = big_df[\"time\"].dt.to_period('Y')\n",
    "big_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I plotted the mentions as an interactive time series scatterplot with comment score on the y-axis. The color channel denotes whether the comment contains the Ukrainian spelling (red) or the Russian spelling (green). Inspect the data more closely by scrolling and zooming. Rolling over a dot will show the spelling, date, and score of the comment. While there is not much of a visible trend or change in proportion over time, we can see a cluster of red in February 2022, corresponding to the date of Russia's full-scale invasion of Ukraine, and an outlier, a very highly rated comment also posted this year. Instances of both spellings are high at this point in time, but Ukrainian spellings outnumber Russian spellings and are rated higher.\n",
    "\n",
    "Zooming in reveals other clusters; one with both red and green is visible in February of 2014. This corresponds with the [Revolution of Dignity](https://en.wikipedia.org/wiki/Revolution_of_Dignity) in Kyiv, February 18-23, 2014, and the onset of the war."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"45e1bfc7-9273-4323-897d-8955dcb33eb3\" data-root-id=\"1759\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  const docs_json = 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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[998]},\"__x__values_original\":{\"__ndarray__\":\"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%B %Y\"],\"hours\":[\"%H:%M:%S\"],\"milliseconds\":[\"%H:%M:%S.%f\"],\"minutes\":[\"%H:%M:%S\"],\"months\":[\"%d %B %Y\"],\"seconds\":[\"%H:%M:%S\"],\"years\":[\"%d %B %Y\"]},\"id\":\"1828\",\"type\":\"DatetimeTickFormatter\"},{\"attributes\":{\"overlay\":{\"id\":\"1784\"}},\"id\":\"1780\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"1764\",\"type\":\"DataRange1d\"},{\"attributes\":{\"color_mapper\":{\"id\":\"1793\"},\"coordinates\":null,\"group\":null,\"label_standoff\":0,\"location\":[0,0],\"major_label_policy\":{\"id\":\"1805\"}},\"id\":\"1794\",\"type\":\"ColorBar\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"1792\"},\"glyph\":{\"id\":\"1796\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"1798\"},\"nonselection_glyph\":{\"id\":\"1797\"},\"view\":{\"id\":\"1800\"}},\"id\":\"1799\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1766\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1781\",\"type\":\"SaveTool\"},{\"attributes\":{\"source\":{\"id\":\"1792\"}},\"id\":\"1800\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1782\",\"type\":\"ResetTool\"},{\"attributes\":{\"label\":{\"value\":\"Ukr_spelling \"},\"renderers\":[{\"id\":\"1799\"}]},\"id\":\"1825\",\"type\":\"LegendItem\"},{\"attributes\":{\"fill_color\":{\"field\":\"Ukr_spelling\",\"transform\":{\"id\":\"1793\"}},\"line_width\":{\"value\":2},\"size\":{\"value\":10},\"x\":{\"field\":\"__x__values\"},\"y\":{\"field\":\"y\"}},\"id\":\"1796\",\"type\":\"Scatter\"},{\"attributes\":{\"click_policy\":\"hide\",\"coordinates\":null,\"group\":null,\"items\":[{\"id\":\"1825\"}]},\"id\":\"1824\",\"type\":\"Legend\"},{\"attributes\":{},\"id\":\"1808\",\"type\":\"AllLabels\"},{\"attributes\":{\"mantissas\":[1,2,5],\"max_interval\":500.0,\"num_minor_ticks\":0},\"id\":\"1812\",\"type\":\"AdaptiveTicker\"},{\"attributes\":{\"palette\":[\"green\",\"red\"]},\"id\":\"1793\",\"type\":\"LinearColorMapper\"},{\"attributes\":{\"base\":60,\"mantissas\":[1,2,5,10,15,20,30],\"max_interval\":1800000.0,\"min_interval\":1000.0,\"num_minor_ticks\":0},\"id\":\"1813\",\"type\":\"AdaptiveTicker\"},{\"attributes\":{\"days\":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31]},\"id\":\"1815\",\"type\":\"DaysTicker\"},{\"attributes\":{\"base\":24,\"mantissas\":[1,2,4,6,8,12],\"max_interval\":43200000.0,\"min_interval\":3600000.0,\"num_minor_ticks\":0},\"id\":\"1814\",\"type\":\"AdaptiveTicker\"},{\"attributes\":{\"months\":[0,1,2,3,4,5,6,7,8,9,10,11]},\"id\":\"1819\",\"type\":\"MonthsTicker\"},{\"attributes\":{\"months\":[0,2,4,6,8,10]},\"id\":\"1820\",\"type\":\"MonthsTicker\"},{\"attributes\":{\"days\":[1,4,7,10,13,16,19,22,25,28]},\"id\":\"1816\",\"type\":\"DaysTicker\"},{\"attributes\":{\"axis_label\":\"time\",\"coordinates\":null,\"formatter\":{\"id\":\"1828\"},\"group\":null,\"major_label_policy\":{\"id\":\"1808\"},\"ticker\":{\"id\":\"1771\"}},\"id\":\"1770\",\"type\":\"DatetimeAxis\"},{\"attributes\":{\"days\":[1,15]},\"id\":\"1818\",\"type\":\"DaysTicker\"},{\"attributes\":{\"months\":[0,6]},\"id\":\"1822\",\"type\":\"MonthsTicker\"},{\"attributes\":{},\"id\":\"1809\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"days\":[1,8,15,22]},\"id\":\"1817\",\"type\":\"DaysTicker\"},{\"attributes\":{},\"id\":\"1823\",\"type\":\"YearsTicker\"},{\"attributes\":{\"active_scroll\":{\"id\":\"1779\"},\"tools\":[{\"id\":\"1778\"},{\"id\":\"1779\"},{\"id\":\"1780\"},{\"id\":\"1781\"},{\"id\":\"1782\"},{\"id\":\"1783\"},{\"id\":\"1826\"}]},\"id\":\"1785\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"1810\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1779\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"months\":[0,4,8]},\"id\":\"1821\",\"type\":\"MonthsTicker\"},{\"attributes\":{\"axis_label\":\"score\",\"coordinates\":null,\"formatter\":{\"id\":\"1803\"},\"group\":null,\"major_label_policy\":{\"id\":\"1804\"},\"ticker\":{\"id\":\"1775\"}},\"id\":\"1774\",\"type\":\"LinearAxis\"},{\"attributes\":{\"coordinates\":null,\"group\":null},\"id\":\"1760\",\"type\":\"Title\"}],\"root_ids\":[\"1759\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.2\"}};\n",
       "  const render_items = [{\"docid\":\"6f1ea3b8-0d9d-49a4-b215-b1d02adb47f7\",\"root_ids\":[\"1759\"],\"roots\":{\"1759\":\"45e1bfc7-9273-4323-897d-8955dcb33eb3\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    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": "1759"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div style=\"display: table;\"><div style=\"display: table-row;\"><div style=\"display: table-cell;\"><b title=\"bokeh.plotting.figure.Figure\">Figure</b>(</div><div style=\"display: table-cell;\">id&nbsp;=&nbsp;'1759', <span id=\"2029\" style=\"cursor: pointer;\">&hellip;)</span></div></div><div class=\"2028\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">above&nbsp;=&nbsp;[],</div></div><div class=\"2028\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">align&nbsp;=&nbsp;'start',</div></div><div class=\"2028\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">aspect_ratio&nbsp;=&nbsp;None,</div></div><div class=\"2028\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">aspect_scale&nbsp;=&nbsp;1,</div></div><div class=\"2028\" style=\"display: none;\"><div 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style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">subscribed_events&nbsp;=&nbsp;[],</div></div><div class=\"2028\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">syncable&nbsp;=&nbsp;True,</div></div><div class=\"2028\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">tags&nbsp;=&nbsp;[],</div></div><div class=\"2028\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">title&nbsp;=&nbsp;Title(id='1760', ...),</div></div><div class=\"2028\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">title_location&nbsp;=&nbsp;'above',</div></div><div class=\"2028\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">toolbar&nbsp;=&nbsp;Toolbar(id='1785', ...),</div></div><div class=\"2028\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">toolbar_location&nbsp;=&nbsp;'right',</div></div><div class=\"2028\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">toolbar_sticky&nbsp;=&nbsp;True,</div></div><div class=\"2028\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">visible&nbsp;=&nbsp;True,</div></div><div class=\"2028\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">width&nbsp;=&nbsp;600,</div></div><div class=\"2028\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">width_policy&nbsp;=&nbsp;'auto',</div></div><div class=\"2028\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">x_range&nbsp;=&nbsp;DataRange1d(id='1762', ...),</div></div><div class=\"2028\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">x_scale&nbsp;=&nbsp;LinearScale(id='1766', ...),</div></div><div class=\"2028\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">y_range&nbsp;=&nbsp;DataRange1d(id='1764', ...),</div></div><div class=\"2028\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">y_scale&nbsp;=&nbsp;LinearScale(id='1768', ...))</div></div></div>\n",
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       "Figure(id='1759', ...)"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "# normal Pandas scatterplot\n",
    "#cmap = colors.ListedColormap([[0,1,0], [1,0,0]])\n",
    "#big_df.plot.scatter(x = 'time', y = 'score', c = 'Ukr_spelling', colormap = cmap, colorbar = False, alpha = .75)\n",
    "\n",
    "# interactive Pandas_bokeh plot\n",
    "big_df.plot_bokeh.scatter(x = 'time', y = 'score', category = 'Ukr_spelling', colormap = ('green', 'red'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Instances of the Ukrainian spelling are concentrated at times when conflict in Kyiv and other parts of Ukraine is in the news. During these periods, Ukrainians and their supporters are informing the world about the conflict they are facing and how to show solidarity when writing and speaking about it. The uptick of use of the Ukrainian spelling in February of 2022 in the highest rated Reddit comments reflects efforts by Redditors to use the platform as a way to show solidarity with Ukraine and stand against the war. The use of written convention online to express support for a global social movement is one of the internet's major implications on language use."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    Dreyer, Benjamin. Kyiv Vs. Kiev, Zelensky Vs. Zelenskyy, And The Immense Meaning Of ‘The’. The Washington Post, 2022, https://www.washingtonpost.com/opinions/2022/03/09/language-ukraine-war-kyiv-kiev/.\n",
    "\n",
    "    McBride, Kelly. \"How Do You Say Kyiv? Our Language Catches Up With Political Realities\". NPR Public Editor, 2022, https://www.npr.org/sections/publiceditor/2022/02/25/1083055646/how-do-you-say-kyiv.\n",
    "\n",
    "    \"Ukraine’S Foreign Ministry Launches Worldwide Campaign #Correctua - UATV\". UATV, 2018, https://uatv.ua/en/ukraine-s-foreign-ministry-launches-worldwide-campaign-correctua/."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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