diff --git a/part-1/IRWA_2023_u242873_u241456_u240007_part_1_pynb.ipynb b/part-1/IRWA_2023_u242873_u241456_u240007_part_1_pynb.ipynb
deleted file mode 100644
index 5d692b5..0000000
--- a/part-1/IRWA_2023_u242873_u241456_u240007_part_1_pynb.ipynb
+++ /dev/null
@@ -1,2617 +0,0 @@
-{
-  "nbformat": 4,
-  "nbformat_minor": 0,
-  "metadata": {
-    "colab": {
-      "provenance": []
-    },
-    "kernelspec": {
-      "name": "python3",
-      "display_name": "Python 3"
-    },
-    "language_info": {
-      "name": "python"
-    }
-  },
-  "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "323_C9K-AGpQ",
-        "outputId": "ea03ea9d-5c7f-4a4f-9c60-b40a1bd699d0"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Cloning into 'IRWA'...\n",
-            "remote: Enumerating objects: 9, done.\u001b[K\n",
-            "remote: Counting objects: 100% (9/9), done.\u001b[K\n",
-            "remote: Compressing objects: 100% (7/7), done.\u001b[K\n",
-            "remote: Total 9 (delta 0), reused 6 (delta 0), pack-reused 0\u001b[K\n",
-            "Receiving objects: 100% (9/9), 2.26 MiB | 4.50 MiB/s, done.\n"
-          ]
-        }
-      ],
-      "source": [
-        "!git clone https://github.com/ialexmp/IRWA.git"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "%cd IRWA/Data_1/"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "ow59BVy7DNFc",
-        "outputId": "e933300d-2160-4bd1-b363-cdc3892df57f"
-      },
-      "execution_count": null,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "/content/IRWA/Data_1\n"
-          ]
-        }
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "import pandas as pd\n",
-        "import json\n",
-        "import nltk\n",
-        "from nltk.stem import PorterStemmer\n",
-        "from nltk.corpus import stopwords\n",
-        "import string\n",
-        "import re\n",
-        "from datetime import datetime\n",
-        "import matplotlib.pyplot as plt\n",
-        "import seaborn as sns\n",
-        "from wordcloud import WordCloud"
-      ],
-      "metadata": {
-        "id": "IT1d0zS-Wok7"
-      },
-      "execution_count": null,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "# evaluation_gt = pd.read_csv(\"Evaluation_gt.csv\")\n",
-        "tweet_document_ids_map = pd.read_csv(\"Rus_Ukr_war_data_ids.csv\", sep=\"\\t\", names=[\"doc\", \"tweet_id\"])\n",
-        "rus_ukr_war_data = []\n",
-        "with open(\"Rus_Ukr_war_data.json\") as f:\n",
-        "  for line in f:\n",
-        "   json_object = json.loads(line)\n",
-        "   rus_ukr_war_data.append(json_object)"
-      ],
-      "metadata": {
-        "id": "B3b40KMqEqZM"
-      },
-      "execution_count": null,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "print(\"Total number of tweets related to the Russo-Ukrainian War: {}\".format(len(rus_ukr_war_data)))"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "30rvSJF1-hfy",
-        "outputId": "1303062b-977f-4452-c602-bc58d7b7a7e0"
-      },
-      "execution_count": null,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Total number of tweets related to the Russo-Ukrainian War: 4000\n"
-          ]
-        }
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "source": [
-        "# **1. Pre-process**\n",
-        "\n",
-        "\n",
-        "* Removing stop words\n",
-        "* Tokenization\n",
-        "* Removing punctuation marks\n",
-        "* Stemming\n",
-        "* Anything else needed **(bonus point)**\n",
-        "\n",
-        "\n"
-      ],
-      "metadata": {
-        "id": "REMxKzsOGBsX"
-      }
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "nltk.download('stopwords')"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "eQn4J7uAEV8N",
-        "outputId": "c929cbc6-519f-4a05-f6d0-22386c388ebb"
-      },
-      "execution_count": null,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stderr",
-          "text": [
-            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
-            "[nltk_data]   Unzipping corpora/stopwords.zip.\n"
-          ]
-        },
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "True"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 6
-        }
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "stemmer = nltk.stem.SnowballStemmer('english')\n",
-        "custom_stopwords = set(stopwords.words('english'))"
-      ],
-      "metadata": {
-        "id": "DlvsJtjjNCBP"
-      },
-      "execution_count": null,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "#preprocess function to include stopword removal, tokenization, punctiation marls removal, stemming, newline characters removal and extra whitespaces removal\n",
-        "def preprocess(text):\n",
-        "    # Convert text to lowercase\n",
-        "    text = text.lower()\n",
-        "    # Remove newline characters\n",
-        "    text = text.replace('\\\\n', '')\n",
-        "    # Remove extra whitespaces\n",
-        "    text = ' '.join(text.split())\n",
-        "    # Delete URLs on the tweet because we won't be able to access to them\n",
-        "    text = re.sub(r'\\S*https?:\\S*', '', text)\n",
-        "    # Remove spaces at first and at the end of a message\n",
-        "    text.strip()\n",
-        "    # Remove punctuation\n",
-        "    text = re.sub(r'[^a-z0-9#@ ]+', '', text)\n",
-        "    # Tokenize the text\n",
-        "    words = text.split()\n",
-        "    # Remove stopwords and apply stemming\n",
-        "    processed_words = [stemmer.stem(word) for word in words if word not in custom_stopwords]\n",
-        "    return ' '.join(processed_words)"
-      ],
-      "metadata": {
-        "id": "OKsCIvxqM0sx"
-      },
-      "execution_count": null,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "def preprocess_date(text):\n",
-        "  # Convert date to dd/mm/yyyy\n",
-        "  return pd.to_datetime(datetime.strptime(text, \"%a %b %d %H:%M:%S %z %Y\").strftime(\"%d/%m/%Y\"), format='%d/%m/%Y')"
-      ],
-      "metadata": {
-        "id": "gY6H2NFdSWa6"
-      },
-      "execution_count": null,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "processed_data = []\n",
-        "tweet_ids = []\n",
-        "data_df = pd.DataFrame(columns=['Tweet', 'Date', 'Hashtags', 'Likes', 'Retweets', 'Url'])\n",
-        "for line in rus_ukr_war_data:\n",
-        "    processed_text = preprocess(line[\"full_text\"])\n",
-        "    hashtags_list = [preprocess(hashtag[\"text\"]) for hashtag in line[\"entities\"][\"hashtags\"]]\n",
-        "    hashtags = ', '.join(hashtags_list)\n",
-        "    tweet_id = line[\"id_str\"]\n",
-        "    tweet_ids.append(tweet_id)\n",
-        "    user = line[\"user\"][\"screen_name\"]\n",
-        "    url = f\"https://twitter.com/{user}/status/{tweet_id}\"\n",
-        "    date = preprocess_date(line[\"created_at\"])\n",
-        "    processed_data.append(processed_text + '|' + str(date) + '|' + str(len(hashtags.split(\", \"))) + '|' + str(line[\"favorite_count\"]) + '|' + str(line[\"retweet_count\"]) + '|' + url)\n",
-        "    data_df.loc[len(data_df)] = {\"Tweet\": processed_text, \"Date\": date, \"Hashtags\": len(hashtags.split(\", \")), \"Likes\": line[\"favorite_count\"], \"Retweets\": line[\"retweet_count\"], \"Url\": url}"
-      ],
-      "metadata": {
-        "id": "vU3emE8uWBBo"
-      },
-      "execution_count": null,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "print(processed_data[7])\n",
-        "data_df.head(8)"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 318
-        },
-        "id": "FTVOBpQdB91p",
-        "outputId": "a65f3481-8cf6-41f6-f6ed-b61d9c959e62"
-      },
-      "execution_count": null,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "#ukrainerussiawar #ukrain #russia #osc condemn russia illeg annex ukrainian territori call russian feder withdraw forc across ukrain|2022-09-30 00:00:00|4|0|0|https://twitter.com/EUFreeCitizen/status/1575917748978434053\n"
-          ]
-        },
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "                                               Tweet       Date  Hashtags  \\\n",
-              "0  @melsimmonsfcdo wrong dictat putin fascist rus... 2022-09-30         2   \n",
-              "1  arm forc liber villag #drobyshev #lymansk urba... 2022-09-30        12   \n",
-              "2  alert poland prep antiradi tablet nuclear thre... 2022-09-30         6   \n",
-              "3  im still wait googl map updat russia new annex... 2022-09-30         2   \n",
-              "4  @emmanuelmacron probabl your right say anyway ... 2022-09-30         2   \n",
-              "5  estonia lithuania latvia fulli support welcom ... 2022-09-30         4   \n",
-              "6  nato ukrain poke bear russia get mad bear russ... 2022-09-30         4   \n",
-              "7  #ukrainerussiawar #ukrain #russia #osc condemn... 2022-09-30         4   \n",
-              "\n",
-              "   Likes  Retweets                                                Url  \n",
-              "0      0         0  https://twitter.com/LynBank25442089/status/157...  \n",
-              "1      0         0  https://twitter.com/Feher_Junior/status/157591...  \n",
-              "2      0         0  https://twitter.com/NEWS_ALL_TIME/status/15759...  \n",
-              "3      0         0  https://twitter.com/Magzprestige/status/157591...  \n",
-              "4      0         0  https://twitter.com/t3zx9kc7rs1/status/1575917...  \n",
-              "5      0         0  https://twitter.com/NEWS_ALL_TIME/status/15759...  \n",
-              "6      0         0  https://twitter.com/A0zeir/status/157591775136...  \n",
-              "7      0         0  https://twitter.com/EUFreeCitizen/status/15759...  "
-            ],
-            "text/html": [
-              "\n",
-              "  <div id=\"df-16b1465d-d3ff-44f1-a896-c2edb8699022\" class=\"colab-df-container\">\n",
-              "    <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>Tweet</th>\n",
-              "      <th>Date</th>\n",
-              "      <th>Hashtags</th>\n",
-              "      <th>Likes</th>\n",
-              "      <th>Retweets</th>\n",
-              "      <th>Url</th>\n",
-              "    </tr>\n",
-              "  </thead>\n",
-              "  <tbody>\n",
-              "    <tr>\n",
-              "      <th>0</th>\n",
-              "      <td>@melsimmonsfcdo wrong dictat putin fascist rus...</td>\n",
-              "      <td>2022-09-30</td>\n",
-              "      <td>2</td>\n",
-              "      <td>0</td>\n",
-              "      <td>0</td>\n",
-              "      <td>https://twitter.com/LynBank25442089/status/157...</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>1</th>\n",
-              "      <td>arm forc liber villag #drobyshev #lymansk urba...</td>\n",
-              "      <td>2022-09-30</td>\n",
-              "      <td>12</td>\n",
-              "      <td>0</td>\n",
-              "      <td>0</td>\n",
-              "      <td>https://twitter.com/Feher_Junior/status/157591...</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>2</th>\n",
-              "      <td>alert poland prep antiradi tablet nuclear thre...</td>\n",
-              "      <td>2022-09-30</td>\n",
-              "      <td>6</td>\n",
-              "      <td>0</td>\n",
-              "      <td>0</td>\n",
-              "      <td>https://twitter.com/NEWS_ALL_TIME/status/15759...</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>3</th>\n",
-              "      <td>im still wait googl map updat russia new annex...</td>\n",
-              "      <td>2022-09-30</td>\n",
-              "      <td>2</td>\n",
-              "      <td>0</td>\n",
-              "      <td>0</td>\n",
-              "      <td>https://twitter.com/Magzprestige/status/157591...</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>4</th>\n",
-              "      <td>@emmanuelmacron probabl your right say anyway ...</td>\n",
-              "      <td>2022-09-30</td>\n",
-              "      <td>2</td>\n",
-              "      <td>0</td>\n",
-              "      <td>0</td>\n",
-              "      <td>https://twitter.com/t3zx9kc7rs1/status/1575917...</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>5</th>\n",
-              "      <td>estonia lithuania latvia fulli support welcom ...</td>\n",
-              "      <td>2022-09-30</td>\n",
-              "      <td>4</td>\n",
-              "      <td>0</td>\n",
-              "      <td>0</td>\n",
-              "      <td>https://twitter.com/NEWS_ALL_TIME/status/15759...</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>6</th>\n",
-              "      <td>nato ukrain poke bear russia get mad bear russ...</td>\n",
-              "      <td>2022-09-30</td>\n",
-              "      <td>4</td>\n",
-              "      <td>0</td>\n",
-              "      <td>0</td>\n",
-              "      <td>https://twitter.com/A0zeir/status/157591775136...</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>7</th>\n",
-              "      <td>#ukrainerussiawar #ukrain #russia #osc condemn...</td>\n",
-              "      <td>2022-09-30</td>\n",
-              "      <td>4</td>\n",
-              "      <td>0</td>\n",
-              "      <td>0</td>\n",
-              "      <td>https://twitter.com/EUFreeCitizen/status/15759...</td>\n",
-              "    </tr>\n",
-              "  </tbody>\n",
-              "</table>\n",
-              "</div>\n",
-              "    <div class=\"colab-df-buttons\">\n",
-              "\n",
-              "  <div class=\"colab-df-container\">\n",
-              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-16b1465d-d3ff-44f1-a896-c2edb8699022')\"\n",
-              "            title=\"Convert this dataframe to an interactive table.\"\n",
-              "            style=\"display:none;\">\n",
-              "\n",
-              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
-              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
-              "  </svg>\n",
-              "    </button>\n",
-              "\n",
-              "  <style>\n",
-              "    .colab-df-container {\n",
-              "      display:flex;\n",
-              "      gap: 12px;\n",
-              "    }\n",
-              "\n",
-              "    .colab-df-convert {\n",
-              "      background-color: #E8F0FE;\n",
-              "      border: none;\n",
-              "      border-radius: 50%;\n",
-              "      cursor: pointer;\n",
-              "      display: none;\n",
-              "      fill: #1967D2;\n",
-              "      height: 32px;\n",
-              "      padding: 0 0 0 0;\n",
-              "      width: 32px;\n",
-              "    }\n",
-              "\n",
-              "    .colab-df-convert:hover {\n",
-              "      background-color: #E2EBFA;\n",
-              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
-              "      fill: #174EA6;\n",
-              "    }\n",
-              "\n",
-              "    .colab-df-buttons div {\n",
-              "      margin-bottom: 4px;\n",
-              "    }\n",
-              "\n",
-              "    [theme=dark] .colab-df-convert {\n",
-              "      background-color: #3B4455;\n",
-              "      fill: #D2E3FC;\n",
-              "    }\n",
-              "\n",
-              "    [theme=dark] .colab-df-convert:hover {\n",
-              "      background-color: #434B5C;\n",
-              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
-              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
-              "      fill: #FFFFFF;\n",
-              "    }\n",
-              "  </style>\n",
-              "\n",
-              "    <script>\n",
-              "      const buttonEl =\n",
-              "        document.querySelector('#df-16b1465d-d3ff-44f1-a896-c2edb8699022 button.colab-df-convert');\n",
-              "      buttonEl.style.display =\n",
-              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
-              "\n",
-              "      async function convertToInteractive(key) {\n",
-              "        const element = document.querySelector('#df-16b1465d-d3ff-44f1-a896-c2edb8699022');\n",
-              "        const dataTable =\n",
-              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
-              "                                                    [key], {});\n",
-              "        if (!dataTable) return;\n",
-              "\n",
-              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
-              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
-              "          + ' to learn more about interactive tables.';\n",
-              "        element.innerHTML = '';\n",
-              "        dataTable['output_type'] = 'display_data';\n",
-              "        await google.colab.output.renderOutput(dataTable, element);\n",
-              "        const docLink = document.createElement('div');\n",
-              "        docLink.innerHTML = docLinkHtml;\n",
-              "        element.appendChild(docLink);\n",
-              "      }\n",
-              "    </script>\n",
-              "  </div>\n",
-              "\n",
-              "\n",
-              "<div id=\"df-62e80406-ccbd-44e2-80a0-28f5a085813c\">\n",
-              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-62e80406-ccbd-44e2-80a0-28f5a085813c')\"\n",
-              "            title=\"Suggest charts.\"\n",
-              "            style=\"display:none;\">\n",
-              "\n",
-              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
-              "     width=\"24px\">\n",
-              "    <g>\n",
-              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
-              "    </g>\n",
-              "</svg>\n",
-              "  </button>\n",
-              "\n",
-              "<style>\n",
-              "  .colab-df-quickchart {\n",
-              "      --bg-color: #E8F0FE;\n",
-              "      --fill-color: #1967D2;\n",
-              "      --hover-bg-color: #E2EBFA;\n",
-              "      --hover-fill-color: #174EA6;\n",
-              "      --disabled-fill-color: #AAA;\n",
-              "      --disabled-bg-color: #DDD;\n",
-              "  }\n",
-              "\n",
-              "  [theme=dark] .colab-df-quickchart {\n",
-              "      --bg-color: #3B4455;\n",
-              "      --fill-color: #D2E3FC;\n",
-              "      --hover-bg-color: #434B5C;\n",
-              "      --hover-fill-color: #FFFFFF;\n",
-              "      --disabled-bg-color: #3B4455;\n",
-              "      --disabled-fill-color: #666;\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-quickchart {\n",
-              "    background-color: var(--bg-color);\n",
-              "    border: none;\n",
-              "    border-radius: 50%;\n",
-              "    cursor: pointer;\n",
-              "    display: none;\n",
-              "    fill: var(--fill-color);\n",
-              "    height: 32px;\n",
-              "    padding: 0;\n",
-              "    width: 32px;\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-quickchart:hover {\n",
-              "    background-color: var(--hover-bg-color);\n",
-              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
-              "    fill: var(--button-hover-fill-color);\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-quickchart-complete:disabled,\n",
-              "  .colab-df-quickchart-complete:disabled:hover {\n",
-              "    background-color: var(--disabled-bg-color);\n",
-              "    fill: var(--disabled-fill-color);\n",
-              "    box-shadow: none;\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-spinner {\n",
-              "    border: 2px solid var(--fill-color);\n",
-              "    border-color: transparent;\n",
-              "    border-bottom-color: var(--fill-color);\n",
-              "    animation:\n",
-              "      spin 1s steps(1) infinite;\n",
-              "  }\n",
-              "\n",
-              "  @keyframes spin {\n",
-              "    0% {\n",
-              "      border-color: transparent;\n",
-              "      border-bottom-color: var(--fill-color);\n",
-              "      border-left-color: var(--fill-color);\n",
-              "    }\n",
-              "    20% {\n",
-              "      border-color: transparent;\n",
-              "      border-left-color: var(--fill-color);\n",
-              "      border-top-color: var(--fill-color);\n",
-              "    }\n",
-              "    30% {\n",
-              "      border-color: transparent;\n",
-              "      border-left-color: var(--fill-color);\n",
-              "      border-top-color: var(--fill-color);\n",
-              "      border-right-color: var(--fill-color);\n",
-              "    }\n",
-              "    40% {\n",
-              "      border-color: transparent;\n",
-              "      border-right-color: var(--fill-color);\n",
-              "      border-top-color: var(--fill-color);\n",
-              "    }\n",
-              "    60% {\n",
-              "      border-color: transparent;\n",
-              "      border-right-color: var(--fill-color);\n",
-              "    }\n",
-              "    80% {\n",
-              "      border-color: transparent;\n",
-              "      border-right-color: var(--fill-color);\n",
-              "      border-bottom-color: var(--fill-color);\n",
-              "    }\n",
-              "    90% {\n",
-              "      border-color: transparent;\n",
-              "      border-bottom-color: var(--fill-color);\n",
-              "    }\n",
-              "  }\n",
-              "</style>\n",
-              "\n",
-              "  <script>\n",
-              "    async function quickchart(key) {\n",
-              "      const quickchartButtonEl =\n",
-              "        document.querySelector('#' + key + ' button');\n",
-              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
-              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
-              "      try {\n",
-              "        const charts = await google.colab.kernel.invokeFunction(\n",
-              "            'suggestCharts', [key], {});\n",
-              "      } catch (error) {\n",
-              "        console.error('Error during call to suggestCharts:', error);\n",
-              "      }\n",
-              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
-              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
-              "    }\n",
-              "    (() => {\n",
-              "      let quickchartButtonEl =\n",
-              "        document.querySelector('#df-62e80406-ccbd-44e2-80a0-28f5a085813c button');\n",
-              "      quickchartButtonEl.style.display =\n",
-              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
-              "    })();\n",
-              "  </script>\n",
-              "</div>\n",
-              "    </div>\n",
-              "  </div>\n"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 11
-        }
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "source": [
-        "# **2. Exploratory Data Analysis**"
-      ],
-      "metadata": {
-        "id": "abq2UGHjGQdj"
-      }
-    },
-    {
-      "cell_type": "markdown",
-      "source": [
-        "## Tweet"
-      ],
-      "metadata": {
-        "id": "PEC0g9ZHU8Qd"
-      }
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "# Word Cloud\n",
-        "all_tweets = ' '.join(data_df['Tweet'])\n",
-        "wordcloud = WordCloud(width=1600, height=800, background_color='white', collocations=False).generate(all_tweets) #Collocations = False to avoid bigrams.\n",
-        "plt.figure(figsize=(10, 5))\n",
-        "plt.imshow(wordcloud, interpolation='bilinear')\n",
-        "plt.axis('off')\n",
-        "plt.show()"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 422
-        },
-        "id": "pJ2j7TR1Opn2",
-        "outputId": "94f011aa-ceba-4870-b677-6ef3e1b2bad2"
-      },
-      "execution_count": null,
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "<Figure size 1000x500 with 1 Axes>"
-            ],
-            "image/png": "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\n"
-          },
-          "metadata": {}
-        }
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "#Most Mentioned User Analysis\n",
-        "data_df[\"mentions\"] = data_df[\"Tweet\"].str.findall(r'@(\\w+)')\n",
-        "users = data_df.explode(\"mentions\")[\"mentions\"].value_counts()\n",
-        "print(users[:10])"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "YmqBXiqZiUk-",
-        "outputId": "f70b7d85-6d6e-4952-9503-a39a52a7df2d"
-      },
-      "execution_count": null,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "zelenskyyua    44\n",
-            "youtub         40\n",
-            "potus          31\n",
-            "mfarussia      22\n",
-            "eucommiss      22\n",
-            "russiaun       21\n",
-            "ukrain         20\n",
-            "nato           20\n",
-            "defenceu       19\n",
-            "cnn            12\n",
-            "Name: mentions, dtype: int64\n"
-          ]
-        }
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "source": [
-        "## Date"
-      ],
-      "metadata": {
-        "id": "5TIAa_KhUuOT"
-      }
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "# There is some tweet about the war before it started?\n",
-        "data_df[data_df[\"Date\"] <= pd.to_datetime('2020-02-24')]"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 53
-        },
-        "id": "J5qRdRhrTE5O",
-        "outputId": "185ad541-43ab-40f2-816e-577645652479"
-      },
-      "execution_count": null,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "Empty DataFrame\n",
-              "Columns: [Tweet, Date, Hashtags, Likes, Retweets, Url, mentions]\n",
-              "Index: []"
-            ],
-            "text/html": [
-              "\n",
-              "  <div id=\"df-b3613296-f454-461a-85f7-0e33c016d88f\" class=\"colab-df-container\">\n",
-              "    <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>Tweet</th>\n",
-              "      <th>Date</th>\n",
-              "      <th>Hashtags</th>\n",
-              "      <th>Likes</th>\n",
-              "      <th>Retweets</th>\n",
-              "      <th>Url</th>\n",
-              "      <th>mentions</th>\n",
-              "    </tr>\n",
-              "  </thead>\n",
-              "  <tbody>\n",
-              "  </tbody>\n",
-              "</table>\n",
-              "</div>\n",
-              "    <div class=\"colab-df-buttons\">\n",
-              "\n",
-              "  <div class=\"colab-df-container\">\n",
-              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b3613296-f454-461a-85f7-0e33c016d88f')\"\n",
-              "            title=\"Convert this dataframe to an interactive table.\"\n",
-              "            style=\"display:none;\">\n",
-              "\n",
-              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
-              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
-              "  </svg>\n",
-              "    </button>\n",
-              "\n",
-              "  <style>\n",
-              "    .colab-df-container {\n",
-              "      display:flex;\n",
-              "      gap: 12px;\n",
-              "    }\n",
-              "\n",
-              "    .colab-df-convert {\n",
-              "      background-color: #E8F0FE;\n",
-              "      border: none;\n",
-              "      border-radius: 50%;\n",
-              "      cursor: pointer;\n",
-              "      display: none;\n",
-              "      fill: #1967D2;\n",
-              "      height: 32px;\n",
-              "      padding: 0 0 0 0;\n",
-              "      width: 32px;\n",
-              "    }\n",
-              "\n",
-              "    .colab-df-convert:hover {\n",
-              "      background-color: #E2EBFA;\n",
-              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
-              "      fill: #174EA6;\n",
-              "    }\n",
-              "\n",
-              "    .colab-df-buttons div {\n",
-              "      margin-bottom: 4px;\n",
-              "    }\n",
-              "\n",
-              "    [theme=dark] .colab-df-convert {\n",
-              "      background-color: #3B4455;\n",
-              "      fill: #D2E3FC;\n",
-              "    }\n",
-              "\n",
-              "    [theme=dark] .colab-df-convert:hover {\n",
-              "      background-color: #434B5C;\n",
-              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
-              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
-              "      fill: #FFFFFF;\n",
-              "    }\n",
-              "  </style>\n",
-              "\n",
-              "    <script>\n",
-              "      const buttonEl =\n",
-              "        document.querySelector('#df-b3613296-f454-461a-85f7-0e33c016d88f button.colab-df-convert');\n",
-              "      buttonEl.style.display =\n",
-              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
-              "\n",
-              "      async function convertToInteractive(key) {\n",
-              "        const element = document.querySelector('#df-b3613296-f454-461a-85f7-0e33c016d88f');\n",
-              "        const dataTable =\n",
-              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
-              "                                                    [key], {});\n",
-              "        if (!dataTable) return;\n",
-              "\n",
-              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
-              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
-              "          + ' to learn more about interactive tables.';\n",
-              "        element.innerHTML = '';\n",
-              "        dataTable['output_type'] = 'display_data';\n",
-              "        await google.colab.output.renderOutput(dataTable, element);\n",
-              "        const docLink = document.createElement('div');\n",
-              "        docLink.innerHTML = docLinkHtml;\n",
-              "        element.appendChild(docLink);\n",
-              "      }\n",
-              "    </script>\n",
-              "  </div>\n",
-              "\n",
-              "    </div>\n",
-              "  </div>\n"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 14
-        }
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "source": [
-        "## Hashtags\n",
-        "\n"
-      ],
-      "metadata": {
-        "id": "1tNPHb_YU-_U"
-      }
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "# Correlation Matrix\n",
-        "data_corr = data_df.corr(numeric_only=True)\n",
-        "plt.figure(figsize=(8, 6))\n",
-        "sns.heatmap(data_corr, annot=True, linewidths=.5)\n",
-        "plt.title(\"Correlation Matrix\")\n",
-        "plt.show()"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 545
-        },
-        "id": "te6n3L9YbxeZ",
-        "outputId": "8693b32a-8cd1-43bd-9ad5-53f3acfad036"
-      },
-      "execution_count": null,
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "<Figure size 800x600 with 2 Axes>"
-            ],
-            "image/png": "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\n"
-          },
-          "metadata": {}
-        }
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "source": [
-        "## Likes"
-      ],
-      "metadata": {
-        "id": "tNxEOtR9Uzcd"
-      }
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "# Descriptive Statistics about the likes\n",
-        "data_df[\"Likes\"].describe()"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "wQQPMGYfUTug",
-        "outputId": "3fbf2956-d67b-4897-aa9c-fbcd3f30a695"
-      },
-      "execution_count": null,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "count    4000.000000\n",
-              "mean       11.436250\n",
-              "std       100.265304\n",
-              "min         0.000000\n",
-              "25%         0.000000\n",
-              "50%         1.000000\n",
-              "75%         3.000000\n",
-              "max      3701.000000\n",
-              "Name: Likes, dtype: float64"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 16
-        }
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "# Histogram about the Likes and their probability\n",
-        "likes = data_df[\"Likes\"]\n",
-        "plt.hist(likes, bins=100, density=True)\n",
-        "plt.xlabel(\"Likes\")\n",
-        "plt.ylabel(\"Probability of having that amount\")\n",
-        "plt.show()"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 449
-        },
-        "id": "UK_KbgnUVNCr",
-        "outputId": "6cd29145-1e98-4d9a-ae67-896fda2e5413"
-      },
-      "execution_count": null,
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "<Figure size 640x480 with 1 Axes>"
-            ],
-            "image/png": "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\n"
-          },
-          "metadata": {}
-        }
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "# Boxplot Likes\n",
-        "plt.boxplot(likes)\n",
-        "plt.ylabel(\"Likes\")\n",
-        "plt.gca().set_xticks([])\n",
-        "plt.show()"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 406
-        },
-        "id": "9BOcC0l7V84C",
-        "outputId": "e1b9a3d5-c825-43b8-d828-af2aa8607655"
-      },
-      "execution_count": null,
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "<Figure size 640x480 with 1 Axes>"
-            ],
-            "image/png": "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\n"
-          },
-          "metadata": {}
-        }
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "# Top 10 most liked tweets\n",
-        "viral_tweets = data_df.sort_values(\"Likes\", ascending = False)\n",
-        "viral_tweets.head(10)"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 363
-        },
-        "id": "PqQZxeAfXD2_",
-        "outputId": "d217e6e6-0c6f-4c3c-e464-41136965ce37"
-      },
-      "execution_count": null,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "                                                  Tweet       Date  Hashtags  \\\n",
-              "1219  situat around lyman sep 30 1100 ua forc liber ... 2022-09-30         1   \n",
-              "2813  uniqu rare photo ukrainian forward command pos... 2022-09-29         2   \n",
-              "3765  oper interflex ukrainian recruit continu maste... 2022-09-28         1   \n",
-              "2823  czech volunt ongo offens ukrainian forc #khark... 2022-09-29         2   \n",
-              "205   ukrainian forc liber drobyshev #donetsk oblast... 2022-09-30         2   \n",
-              "2118  kostyantyn nemichev command kraken special uni... 2022-09-29         1   \n",
-              "3801  ukrainian paratroop btr3 offens #kharkiv#donet... 2022-09-28         3   \n",
-              "450   zelenski announc ukrain submit acceler applic ... 2022-09-30         1   \n",
-              "1846  follow countri urg citizen leav updat govern m... 2022-09-29         3   \n",
-              "1244  ukrainian forc liber yampil #donetsk oblast #u... 2022-09-30         2   \n",
-              "\n",
-              "      Likes  Retweets                                                Url  \\\n",
-              "1219   3701       646  https://twitter.com/Militarylandnet/status/157...   \n",
-              "2813   2685       338  https://twitter.com/Militarylandnet/status/157...   \n",
-              "3765   2155       283  https://twitter.com/Militarylandnet/status/157...   \n",
-              "2823   1631       114  https://twitter.com/Militarylandnet/status/157...   \n",
-              "205    1407       171  https://twitter.com/Militarylandnet/status/157...   \n",
-              "2118   1407       136  https://twitter.com/Militarylandnet/status/157...   \n",
-              "3801   1348       133  https://twitter.com/Militarylandnet/status/157...   \n",
-              "450    1083        96  https://twitter.com/Militarylandnet/status/157...   \n",
-              "1846    923       251  https://twitter.com/OSINTschizo/status/1575625...   \n",
-              "1244    868        69  https://twitter.com/Militarylandnet/status/157...   \n",
-              "\n",
-              "     mentions  \n",
-              "1219       []  \n",
-              "2813       []  \n",
-              "3765       []  \n",
-              "2823       []  \n",
-              "205        []  \n",
-              "2118       []  \n",
-              "3801       []  \n",
-              "450        []  \n",
-              "1846       []  \n",
-              "1244       []  "
-            ],
-            "text/html": [
-              "\n",
-              "  <div id=\"df-194536b8-3608-4693-bfa1-7aca1c4e66ff\" class=\"colab-df-container\">\n",
-              "    <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>Tweet</th>\n",
-              "      <th>Date</th>\n",
-              "      <th>Hashtags</th>\n",
-              "      <th>Likes</th>\n",
-              "      <th>Retweets</th>\n",
-              "      <th>Url</th>\n",
-              "      <th>mentions</th>\n",
-              "    </tr>\n",
-              "  </thead>\n",
-              "  <tbody>\n",
-              "    <tr>\n",
-              "      <th>1219</th>\n",
-              "      <td>situat around lyman sep 30 1100 ua forc liber ...</td>\n",
-              "      <td>2022-09-30</td>\n",
-              "      <td>1</td>\n",
-              "      <td>3701</td>\n",
-              "      <td>646</td>\n",
-              "      <td>https://twitter.com/Militarylandnet/status/157...</td>\n",
-              "      <td>[]</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>2813</th>\n",
-              "      <td>uniqu rare photo ukrainian forward command pos...</td>\n",
-              "      <td>2022-09-29</td>\n",
-              "      <td>2</td>\n",
-              "      <td>2685</td>\n",
-              "      <td>338</td>\n",
-              "      <td>https://twitter.com/Militarylandnet/status/157...</td>\n",
-              "      <td>[]</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>3765</th>\n",
-              "      <td>oper interflex ukrainian recruit continu maste...</td>\n",
-              "      <td>2022-09-28</td>\n",
-              "      <td>1</td>\n",
-              "      <td>2155</td>\n",
-              "      <td>283</td>\n",
-              "      <td>https://twitter.com/Militarylandnet/status/157...</td>\n",
-              "      <td>[]</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>2823</th>\n",
-              "      <td>czech volunt ongo offens ukrainian forc #khark...</td>\n",
-              "      <td>2022-09-29</td>\n",
-              "      <td>2</td>\n",
-              "      <td>1631</td>\n",
-              "      <td>114</td>\n",
-              "      <td>https://twitter.com/Militarylandnet/status/157...</td>\n",
-              "      <td>[]</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>205</th>\n",
-              "      <td>ukrainian forc liber drobyshev #donetsk oblast...</td>\n",
-              "      <td>2022-09-30</td>\n",
-              "      <td>2</td>\n",
-              "      <td>1407</td>\n",
-              "      <td>171</td>\n",
-              "      <td>https://twitter.com/Militarylandnet/status/157...</td>\n",
-              "      <td>[]</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>2118</th>\n",
-              "      <td>kostyantyn nemichev command kraken special uni...</td>\n",
-              "      <td>2022-09-29</td>\n",
-              "      <td>1</td>\n",
-              "      <td>1407</td>\n",
-              "      <td>136</td>\n",
-              "      <td>https://twitter.com/Militarylandnet/status/157...</td>\n",
-              "      <td>[]</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>3801</th>\n",
-              "      <td>ukrainian paratroop btr3 offens #kharkiv#donet...</td>\n",
-              "      <td>2022-09-28</td>\n",
-              "      <td>3</td>\n",
-              "      <td>1348</td>\n",
-              "      <td>133</td>\n",
-              "      <td>https://twitter.com/Militarylandnet/status/157...</td>\n",
-              "      <td>[]</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>450</th>\n",
-              "      <td>zelenski announc ukrain submit acceler applic ...</td>\n",
-              "      <td>2022-09-30</td>\n",
-              "      <td>1</td>\n",
-              "      <td>1083</td>\n",
-              "      <td>96</td>\n",
-              "      <td>https://twitter.com/Militarylandnet/status/157...</td>\n",
-              "      <td>[]</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>1846</th>\n",
-              "      <td>follow countri urg citizen leav updat govern m...</td>\n",
-              "      <td>2022-09-29</td>\n",
-              "      <td>3</td>\n",
-              "      <td>923</td>\n",
-              "      <td>251</td>\n",
-              "      <td>https://twitter.com/OSINTschizo/status/1575625...</td>\n",
-              "      <td>[]</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>1244</th>\n",
-              "      <td>ukrainian forc liber yampil #donetsk oblast #u...</td>\n",
-              "      <td>2022-09-30</td>\n",
-              "      <td>2</td>\n",
-              "      <td>868</td>\n",
-              "      <td>69</td>\n",
-              "      <td>https://twitter.com/Militarylandnet/status/157...</td>\n",
-              "      <td>[]</td>\n",
-              "    </tr>\n",
-              "  </tbody>\n",
-              "</table>\n",
-              "</div>\n",
-              "    <div class=\"colab-df-buttons\">\n",
-              "\n",
-              "  <div class=\"colab-df-container\">\n",
-              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-194536b8-3608-4693-bfa1-7aca1c4e66ff')\"\n",
-              "            title=\"Convert this dataframe to an interactive table.\"\n",
-              "            style=\"display:none;\">\n",
-              "\n",
-              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
-              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
-              "  </svg>\n",
-              "    </button>\n",
-              "\n",
-              "  <style>\n",
-              "    .colab-df-container {\n",
-              "      display:flex;\n",
-              "      gap: 12px;\n",
-              "    }\n",
-              "\n",
-              "    .colab-df-convert {\n",
-              "      background-color: #E8F0FE;\n",
-              "      border: none;\n",
-              "      border-radius: 50%;\n",
-              "      cursor: pointer;\n",
-              "      display: none;\n",
-              "      fill: #1967D2;\n",
-              "      height: 32px;\n",
-              "      padding: 0 0 0 0;\n",
-              "      width: 32px;\n",
-              "    }\n",
-              "\n",
-              "    .colab-df-convert:hover {\n",
-              "      background-color: #E2EBFA;\n",
-              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
-              "      fill: #174EA6;\n",
-              "    }\n",
-              "\n",
-              "    .colab-df-buttons div {\n",
-              "      margin-bottom: 4px;\n",
-              "    }\n",
-              "\n",
-              "    [theme=dark] .colab-df-convert {\n",
-              "      background-color: #3B4455;\n",
-              "      fill: #D2E3FC;\n",
-              "    }\n",
-              "\n",
-              "    [theme=dark] .colab-df-convert:hover {\n",
-              "      background-color: #434B5C;\n",
-              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
-              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
-              "      fill: #FFFFFF;\n",
-              "    }\n",
-              "  </style>\n",
-              "\n",
-              "    <script>\n",
-              "      const buttonEl =\n",
-              "        document.querySelector('#df-194536b8-3608-4693-bfa1-7aca1c4e66ff button.colab-df-convert');\n",
-              "      buttonEl.style.display =\n",
-              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
-              "\n",
-              "      async function convertToInteractive(key) {\n",
-              "        const element = document.querySelector('#df-194536b8-3608-4693-bfa1-7aca1c4e66ff');\n",
-              "        const dataTable =\n",
-              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
-              "                                                    [key], {});\n",
-              "        if (!dataTable) return;\n",
-              "\n",
-              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
-              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
-              "          + ' to learn more about interactive tables.';\n",
-              "        element.innerHTML = '';\n",
-              "        dataTable['output_type'] = 'display_data';\n",
-              "        await google.colab.output.renderOutput(dataTable, element);\n",
-              "        const docLink = document.createElement('div');\n",
-              "        docLink.innerHTML = docLinkHtml;\n",
-              "        element.appendChild(docLink);\n",
-              "      }\n",
-              "    </script>\n",
-              "  </div>\n",
-              "\n",
-              "\n",
-              "<div id=\"df-22ed934c-b654-49ed-802b-6f45d8ed808c\">\n",
-              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-22ed934c-b654-49ed-802b-6f45d8ed808c')\"\n",
-              "            title=\"Suggest charts.\"\n",
-              "            style=\"display:none;\">\n",
-              "\n",
-              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
-              "     width=\"24px\">\n",
-              "    <g>\n",
-              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
-              "    </g>\n",
-              "</svg>\n",
-              "  </button>\n",
-              "\n",
-              "<style>\n",
-              "  .colab-df-quickchart {\n",
-              "      --bg-color: #E8F0FE;\n",
-              "      --fill-color: #1967D2;\n",
-              "      --hover-bg-color: #E2EBFA;\n",
-              "      --hover-fill-color: #174EA6;\n",
-              "      --disabled-fill-color: #AAA;\n",
-              "      --disabled-bg-color: #DDD;\n",
-              "  }\n",
-              "\n",
-              "  [theme=dark] .colab-df-quickchart {\n",
-              "      --bg-color: #3B4455;\n",
-              "      --fill-color: #D2E3FC;\n",
-              "      --hover-bg-color: #434B5C;\n",
-              "      --hover-fill-color: #FFFFFF;\n",
-              "      --disabled-bg-color: #3B4455;\n",
-              "      --disabled-fill-color: #666;\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-quickchart {\n",
-              "    background-color: var(--bg-color);\n",
-              "    border: none;\n",
-              "    border-radius: 50%;\n",
-              "    cursor: pointer;\n",
-              "    display: none;\n",
-              "    fill: var(--fill-color);\n",
-              "    height: 32px;\n",
-              "    padding: 0;\n",
-              "    width: 32px;\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-quickchart:hover {\n",
-              "    background-color: var(--hover-bg-color);\n",
-              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
-              "    fill: var(--button-hover-fill-color);\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-quickchart-complete:disabled,\n",
-              "  .colab-df-quickchart-complete:disabled:hover {\n",
-              "    background-color: var(--disabled-bg-color);\n",
-              "    fill: var(--disabled-fill-color);\n",
-              "    box-shadow: none;\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-spinner {\n",
-              "    border: 2px solid var(--fill-color);\n",
-              "    border-color: transparent;\n",
-              "    border-bottom-color: var(--fill-color);\n",
-              "    animation:\n",
-              "      spin 1s steps(1) infinite;\n",
-              "  }\n",
-              "\n",
-              "  @keyframes spin {\n",
-              "    0% {\n",
-              "      border-color: transparent;\n",
-              "      border-bottom-color: var(--fill-color);\n",
-              "      border-left-color: var(--fill-color);\n",
-              "    }\n",
-              "    20% {\n",
-              "      border-color: transparent;\n",
-              "      border-left-color: var(--fill-color);\n",
-              "      border-top-color: var(--fill-color);\n",
-              "    }\n",
-              "    30% {\n",
-              "      border-color: transparent;\n",
-              "      border-left-color: var(--fill-color);\n",
-              "      border-top-color: var(--fill-color);\n",
-              "      border-right-color: var(--fill-color);\n",
-              "    }\n",
-              "    40% {\n",
-              "      border-color: transparent;\n",
-              "      border-right-color: var(--fill-color);\n",
-              "      border-top-color: var(--fill-color);\n",
-              "    }\n",
-              "    60% {\n",
-              "      border-color: transparent;\n",
-              "      border-right-color: var(--fill-color);\n",
-              "    }\n",
-              "    80% {\n",
-              "      border-color: transparent;\n",
-              "      border-right-color: var(--fill-color);\n",
-              "      border-bottom-color: var(--fill-color);\n",
-              "    }\n",
-              "    90% {\n",
-              "      border-color: transparent;\n",
-              "      border-bottom-color: var(--fill-color);\n",
-              "    }\n",
-              "  }\n",
-              "</style>\n",
-              "\n",
-              "  <script>\n",
-              "    async function quickchart(key) {\n",
-              "      const quickchartButtonEl =\n",
-              "        document.querySelector('#' + key + ' button');\n",
-              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
-              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
-              "      try {\n",
-              "        const charts = await google.colab.kernel.invokeFunction(\n",
-              "            'suggestCharts', [key], {});\n",
-              "      } catch (error) {\n",
-              "        console.error('Error during call to suggestCharts:', error);\n",
-              "      }\n",
-              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
-              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
-              "    }\n",
-              "    (() => {\n",
-              "      let quickchartButtonEl =\n",
-              "        document.querySelector('#df-22ed934c-b654-49ed-802b-6f45d8ed808c button');\n",
-              "      quickchartButtonEl.style.display =\n",
-              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
-              "    })();\n",
-              "  </script>\n",
-              "</div>\n",
-              "    </div>\n",
-              "  </div>\n"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 19
-        }
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "source": [
-        "## Retweets"
-      ],
-      "metadata": {
-        "id": "sqrwU03eU1bB"
-      }
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "# Descriptive Statistics about the retweets\n",
-        "data_df[\"Retweets\"].describe()"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "a0w9GeaEUo1C",
-        "outputId": "4b17d9c9-2590-4d19-d53b-9975818182c9"
-      },
-      "execution_count": null,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "count    4000.000000\n",
-              "mean        2.123000\n",
-              "std        15.828361\n",
-              "min         0.000000\n",
-              "25%         0.000000\n",
-              "50%         0.000000\n",
-              "75%         1.000000\n",
-              "max       646.000000\n",
-              "Name: Retweets, dtype: float64"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 20
-        }
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "# Histogram about the Retweets and their probability\n",
-        "retweets = data_df[\"Retweets\"]\n",
-        "plt.hist(retweets, bins=100, density=True)\n",
-        "plt.xlabel(\"Retweets\")\n",
-        "plt.ylabel(\"Probability of having that amount\")\n",
-        "plt.show()"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 449
-        },
-        "id": "fi4b7iL6WhEE",
-        "outputId": "2907c0c0-4492-41eb-c5cb-eb0676db3179"
-      },
-      "execution_count": null,
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "<Figure size 640x480 with 1 Axes>"
-            ],
-            "image/png": "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\n"
-          },
-          "metadata": {}
-        }
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "# Boxplot Likes\n",
-        "plt.boxplot(retweets)\n",
-        "plt.ylabel(\"Retweets\")\n",
-        "plt.gca().set_xticks([])\n",
-        "plt.show()"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 406
-        },
-        "id": "I4OY2uB9Wz9d",
-        "outputId": "1055166f-3b1a-4af9-e959-f4147137ee28"
-      },
-      "execution_count": null,
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "<Figure size 640x480 with 1 Axes>"
-            ],
-            "image/png": "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\n"
-          },
-          "metadata": {}
-        }
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "# Top 10 most retweeted tweets\n",
-        "most_retweeted_tweets = data_df.sort_values(\"Retweets\", ascending = False)\n",
-        "most_retweeted_tweets.head(10)"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 363
-        },
-        "id": "O6HoBDw5XaKW",
-        "outputId": "dffacdda-a510-4dc7-f150-79e99c6a9dfa"
-      },
-      "execution_count": null,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "                                                  Tweet       Date  Hashtags  \\\n",
-              "1219  situat around lyman sep 30 1100 ua forc liber ... 2022-09-30         1   \n",
-              "2813  uniqu rare photo ukrainian forward command pos... 2022-09-29         2   \n",
-              "3765  oper interflex ukrainian recruit continu maste... 2022-09-28         1   \n",
-              "1846  follow countri urg citizen leav updat govern m... 2022-09-29         3   \n",
-              "1387  russian shell outskirt #zaporizhzhia hit civil... 2022-09-30         2   \n",
-              "1209  war end call annex referendum genuin express p... 2022-09-30         3   \n",
-              "1532  russia may drop 11 meter long x22 missil weigh... 2022-09-30         4   \n",
-              "205   ukrainian forc liber drobyshev #donetsk oblast... 2022-09-30         2   \n",
-              "2118  kostyantyn nemichev command kraken special uni... 2022-09-29         1   \n",
-              "3801  ukrainian paratroop btr3 offens #kharkiv#donet... 2022-09-28         3   \n",
-              "\n",
-              "      Likes  Retweets                                                Url  \\\n",
-              "1219   3701       646  https://twitter.com/Militarylandnet/status/157...   \n",
-              "2813   2685       338  https://twitter.com/Militarylandnet/status/157...   \n",
-              "3765   2155       283  https://twitter.com/Militarylandnet/status/157...   \n",
-              "1846    923       251  https://twitter.com/OSINTschizo/status/1575625...   \n",
-              "1387    694       247  https://twitter.com/Militarylandnet/status/157...   \n",
-              "1209    270       236  https://twitter.com/CyberMartiansio/status/157...   \n",
-              "1532    713       184  https://twitter.com/Ukraine66251776/status/157...   \n",
-              "205    1407       171  https://twitter.com/Militarylandnet/status/157...   \n",
-              "2118   1407       136  https://twitter.com/Militarylandnet/status/157...   \n",
-              "3801   1348       133  https://twitter.com/Militarylandnet/status/157...   \n",
-              "\n",
-              "     mentions  \n",
-              "1219       []  \n",
-              "2813       []  \n",
-              "3765       []  \n",
-              "1846       []  \n",
-              "1387       []  \n",
-              "1209       []  \n",
-              "1532       []  \n",
-              "205        []  \n",
-              "2118       []  \n",
-              "3801       []  "
-            ],
-            "text/html": [
-              "\n",
-              "  <div id=\"df-7d08834a-0cae-4320-9519-45b312ba9365\" class=\"colab-df-container\">\n",
-              "    <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>Tweet</th>\n",
-              "      <th>Date</th>\n",
-              "      <th>Hashtags</th>\n",
-              "      <th>Likes</th>\n",
-              "      <th>Retweets</th>\n",
-              "      <th>Url</th>\n",
-              "      <th>mentions</th>\n",
-              "    </tr>\n",
-              "  </thead>\n",
-              "  <tbody>\n",
-              "    <tr>\n",
-              "      <th>1219</th>\n",
-              "      <td>situat around lyman sep 30 1100 ua forc liber ...</td>\n",
-              "      <td>2022-09-30</td>\n",
-              "      <td>1</td>\n",
-              "      <td>3701</td>\n",
-              "      <td>646</td>\n",
-              "      <td>https://twitter.com/Militarylandnet/status/157...</td>\n",
-              "      <td>[]</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>2813</th>\n",
-              "      <td>uniqu rare photo ukrainian forward command pos...</td>\n",
-              "      <td>2022-09-29</td>\n",
-              "      <td>2</td>\n",
-              "      <td>2685</td>\n",
-              "      <td>338</td>\n",
-              "      <td>https://twitter.com/Militarylandnet/status/157...</td>\n",
-              "      <td>[]</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>3765</th>\n",
-              "      <td>oper interflex ukrainian recruit continu maste...</td>\n",
-              "      <td>2022-09-28</td>\n",
-              "      <td>1</td>\n",
-              "      <td>2155</td>\n",
-              "      <td>283</td>\n",
-              "      <td>https://twitter.com/Militarylandnet/status/157...</td>\n",
-              "      <td>[]</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>1846</th>\n",
-              "      <td>follow countri urg citizen leav updat govern m...</td>\n",
-              "      <td>2022-09-29</td>\n",
-              "      <td>3</td>\n",
-              "      <td>923</td>\n",
-              "      <td>251</td>\n",
-              "      <td>https://twitter.com/OSINTschizo/status/1575625...</td>\n",
-              "      <td>[]</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>1387</th>\n",
-              "      <td>russian shell outskirt #zaporizhzhia hit civil...</td>\n",
-              "      <td>2022-09-30</td>\n",
-              "      <td>2</td>\n",
-              "      <td>694</td>\n",
-              "      <td>247</td>\n",
-              "      <td>https://twitter.com/Militarylandnet/status/157...</td>\n",
-              "      <td>[]</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>1209</th>\n",
-              "      <td>war end call annex referendum genuin express p...</td>\n",
-              "      <td>2022-09-30</td>\n",
-              "      <td>3</td>\n",
-              "      <td>270</td>\n",
-              "      <td>236</td>\n",
-              "      <td>https://twitter.com/CyberMartiansio/status/157...</td>\n",
-              "      <td>[]</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>1532</th>\n",
-              "      <td>russia may drop 11 meter long x22 missil weigh...</td>\n",
-              "      <td>2022-09-30</td>\n",
-              "      <td>4</td>\n",
-              "      <td>713</td>\n",
-              "      <td>184</td>\n",
-              "      <td>https://twitter.com/Ukraine66251776/status/157...</td>\n",
-              "      <td>[]</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>205</th>\n",
-              "      <td>ukrainian forc liber drobyshev #donetsk oblast...</td>\n",
-              "      <td>2022-09-30</td>\n",
-              "      <td>2</td>\n",
-              "      <td>1407</td>\n",
-              "      <td>171</td>\n",
-              "      <td>https://twitter.com/Militarylandnet/status/157...</td>\n",
-              "      <td>[]</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>2118</th>\n",
-              "      <td>kostyantyn nemichev command kraken special uni...</td>\n",
-              "      <td>2022-09-29</td>\n",
-              "      <td>1</td>\n",
-              "      <td>1407</td>\n",
-              "      <td>136</td>\n",
-              "      <td>https://twitter.com/Militarylandnet/status/157...</td>\n",
-              "      <td>[]</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>3801</th>\n",
-              "      <td>ukrainian paratroop btr3 offens #kharkiv#donet...</td>\n",
-              "      <td>2022-09-28</td>\n",
-              "      <td>3</td>\n",
-              "      <td>1348</td>\n",
-              "      <td>133</td>\n",
-              "      <td>https://twitter.com/Militarylandnet/status/157...</td>\n",
-              "      <td>[]</td>\n",
-              "    </tr>\n",
-              "  </tbody>\n",
-              "</table>\n",
-              "</div>\n",
-              "    <div class=\"colab-df-buttons\">\n",
-              "\n",
-              "  <div class=\"colab-df-container\">\n",
-              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7d08834a-0cae-4320-9519-45b312ba9365')\"\n",
-              "            title=\"Convert this dataframe to an interactive table.\"\n",
-              "            style=\"display:none;\">\n",
-              "\n",
-              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
-              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
-              "  </svg>\n",
-              "    </button>\n",
-              "\n",
-              "  <style>\n",
-              "    .colab-df-container {\n",
-              "      display:flex;\n",
-              "      gap: 12px;\n",
-              "    }\n",
-              "\n",
-              "    .colab-df-convert {\n",
-              "      background-color: #E8F0FE;\n",
-              "      border: none;\n",
-              "      border-radius: 50%;\n",
-              "      cursor: pointer;\n",
-              "      display: none;\n",
-              "      fill: #1967D2;\n",
-              "      height: 32px;\n",
-              "      padding: 0 0 0 0;\n",
-              "      width: 32px;\n",
-              "    }\n",
-              "\n",
-              "    .colab-df-convert:hover {\n",
-              "      background-color: #E2EBFA;\n",
-              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
-              "      fill: #174EA6;\n",
-              "    }\n",
-              "\n",
-              "    .colab-df-buttons div {\n",
-              "      margin-bottom: 4px;\n",
-              "    }\n",
-              "\n",
-              "    [theme=dark] .colab-df-convert {\n",
-              "      background-color: #3B4455;\n",
-              "      fill: #D2E3FC;\n",
-              "    }\n",
-              "\n",
-              "    [theme=dark] .colab-df-convert:hover {\n",
-              "      background-color: #434B5C;\n",
-              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
-              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
-              "      fill: #FFFFFF;\n",
-              "    }\n",
-              "  </style>\n",
-              "\n",
-              "    <script>\n",
-              "      const buttonEl =\n",
-              "        document.querySelector('#df-7d08834a-0cae-4320-9519-45b312ba9365 button.colab-df-convert');\n",
-              "      buttonEl.style.display =\n",
-              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
-              "\n",
-              "      async function convertToInteractive(key) {\n",
-              "        const element = document.querySelector('#df-7d08834a-0cae-4320-9519-45b312ba9365');\n",
-              "        const dataTable =\n",
-              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
-              "                                                    [key], {});\n",
-              "        if (!dataTable) return;\n",
-              "\n",
-              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
-              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
-              "          + ' to learn more about interactive tables.';\n",
-              "        element.innerHTML = '';\n",
-              "        dataTable['output_type'] = 'display_data';\n",
-              "        await google.colab.output.renderOutput(dataTable, element);\n",
-              "        const docLink = document.createElement('div');\n",
-              "        docLink.innerHTML = docLinkHtml;\n",
-              "        element.appendChild(docLink);\n",
-              "      }\n",
-              "    </script>\n",
-              "  </div>\n",
-              "\n",
-              "\n",
-              "<div id=\"df-ad533405-a1da-444e-91bc-7a85ed57d2ab\">\n",
-              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-ad533405-a1da-444e-91bc-7a85ed57d2ab')\"\n",
-              "            title=\"Suggest charts.\"\n",
-              "            style=\"display:none;\">\n",
-              "\n",
-              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
-              "     width=\"24px\">\n",
-              "    <g>\n",
-              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
-              "    </g>\n",
-              "</svg>\n",
-              "  </button>\n",
-              "\n",
-              "<style>\n",
-              "  .colab-df-quickchart {\n",
-              "      --bg-color: #E8F0FE;\n",
-              "      --fill-color: #1967D2;\n",
-              "      --hover-bg-color: #E2EBFA;\n",
-              "      --hover-fill-color: #174EA6;\n",
-              "      --disabled-fill-color: #AAA;\n",
-              "      --disabled-bg-color: #DDD;\n",
-              "  }\n",
-              "\n",
-              "  [theme=dark] .colab-df-quickchart {\n",
-              "      --bg-color: #3B4455;\n",
-              "      --fill-color: #D2E3FC;\n",
-              "      --hover-bg-color: #434B5C;\n",
-              "      --hover-fill-color: #FFFFFF;\n",
-              "      --disabled-bg-color: #3B4455;\n",
-              "      --disabled-fill-color: #666;\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-quickchart {\n",
-              "    background-color: var(--bg-color);\n",
-              "    border: none;\n",
-              "    border-radius: 50%;\n",
-              "    cursor: pointer;\n",
-              "    display: none;\n",
-              "    fill: var(--fill-color);\n",
-              "    height: 32px;\n",
-              "    padding: 0;\n",
-              "    width: 32px;\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-quickchart:hover {\n",
-              "    background-color: var(--hover-bg-color);\n",
-              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
-              "    fill: var(--button-hover-fill-color);\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-quickchart-complete:disabled,\n",
-              "  .colab-df-quickchart-complete:disabled:hover {\n",
-              "    background-color: var(--disabled-bg-color);\n",
-              "    fill: var(--disabled-fill-color);\n",
-              "    box-shadow: none;\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-spinner {\n",
-              "    border: 2px solid var(--fill-color);\n",
-              "    border-color: transparent;\n",
-              "    border-bottom-color: var(--fill-color);\n",
-              "    animation:\n",
-              "      spin 1s steps(1) infinite;\n",
-              "  }\n",
-              "\n",
-              "  @keyframes spin {\n",
-              "    0% {\n",
-              "      border-color: transparent;\n",
-              "      border-bottom-color: var(--fill-color);\n",
-              "      border-left-color: var(--fill-color);\n",
-              "    }\n",
-              "    20% {\n",
-              "      border-color: transparent;\n",
-              "      border-left-color: var(--fill-color);\n",
-              "      border-top-color: var(--fill-color);\n",
-              "    }\n",
-              "    30% {\n",
-              "      border-color: transparent;\n",
-              "      border-left-color: var(--fill-color);\n",
-              "      border-top-color: var(--fill-color);\n",
-              "      border-right-color: var(--fill-color);\n",
-              "    }\n",
-              "    40% {\n",
-              "      border-color: transparent;\n",
-              "      border-right-color: var(--fill-color);\n",
-              "      border-top-color: var(--fill-color);\n",
-              "    }\n",
-              "    60% {\n",
-              "      border-color: transparent;\n",
-              "      border-right-color: var(--fill-color);\n",
-              "    }\n",
-              "    80% {\n",
-              "      border-color: transparent;\n",
-              "      border-right-color: var(--fill-color);\n",
-              "      border-bottom-color: var(--fill-color);\n",
-              "    }\n",
-              "    90% {\n",
-              "      border-color: transparent;\n",
-              "      border-bottom-color: var(--fill-color);\n",
-              "    }\n",
-              "  }\n",
-              "</style>\n",
-              "\n",
-              "  <script>\n",
-              "    async function quickchart(key) {\n",
-              "      const quickchartButtonEl =\n",
-              "        document.querySelector('#' + key + ' button');\n",
-              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
-              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
-              "      try {\n",
-              "        const charts = await google.colab.kernel.invokeFunction(\n",
-              "            'suggestCharts', [key], {});\n",
-              "      } catch (error) {\n",
-              "        console.error('Error during call to suggestCharts:', error);\n",
-              "      }\n",
-              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
-              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
-              "    }\n",
-              "    (() => {\n",
-              "      let quickchartButtonEl =\n",
-              "        document.querySelector('#df-ad533405-a1da-444e-91bc-7a85ed57d2ab button');\n",
-              "      quickchartButtonEl.style.display =\n",
-              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
-              "    })();\n",
-              "  </script>\n",
-              "</div>\n",
-              "    </div>\n",
-              "  </div>\n"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 23
-        }
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "# How many tweets contain the word rt or retweet?\n",
-        "contains_rt = data_df[\"Tweet\"].str.contains(r'\\brt\\b|retweet')\n",
-        "data_contains_rt = data_df[contains_rt].sort_values(\"Retweets\", ascending = False)\n",
-        "print(\"Head:\")\n",
-        "display(data_contains_rt.head())\n",
-        "print(\"\\nTail:\")\n",
-        "display(data_contains_rt.tail())"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 449
-        },
-        "id": "EGcV5ZTiXuiM",
-        "outputId": "1aa2031e-e891-4fa7-fe93-65ef138e1cd3"
-      },
-      "execution_count": null,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Head:\n"
-          ]
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "                                                  Tweet       Date  Hashtags  \\\n",
-              "2981  attent maximum retweet help bring back brother... 2022-09-29         2   \n",
-              "3006  much go world right #ai #art simpli send love ... 2022-09-29        10   \n",
-              "3502  retweet regular occasion tweet #ukrainerussiaw... 2022-09-28         1   \n",
-              "1105  bomber biden strangl life europ retweet agre #... 2022-09-30         5   \n",
-              "1485  follow real time announc peopl report locat uk... 2022-09-30         3   \n",
-              "\n",
-              "      Likes  Retweets                                                Url  \\\n",
-              "2981      3         3  https://twitter.com/PK2451167992/status/157535...   \n",
-              "3006      5         2  https://twitter.com/YnobeCrypto/status/1575344...   \n",
-              "3502     11         2  https://twitter.com/B1EMW/status/1575211708829...   \n",
-              "1105      2         1  https://twitter.com/Socialism4life/status/1575...   \n",
-              "1485      0         0  https://twitter.com/UkraineOnGround/status/157...   \n",
-              "\n",
-              "              mentions  \n",
-              "2981                []  \n",
-              "3006                []  \n",
-              "3502  [nickreeves9876]  \n",
-              "1105                []  \n",
-              "1485                []  "
-            ],
-            "text/html": [
-              "\n",
-              "  <div id=\"df-b5fd5158-a387-4f56-8763-add6249b70bf\" class=\"colab-df-container\">\n",
-              "    <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>Tweet</th>\n",
-              "      <th>Date</th>\n",
-              "      <th>Hashtags</th>\n",
-              "      <th>Likes</th>\n",
-              "      <th>Retweets</th>\n",
-              "      <th>Url</th>\n",
-              "      <th>mentions</th>\n",
-              "    </tr>\n",
-              "  </thead>\n",
-              "  <tbody>\n",
-              "    <tr>\n",
-              "      <th>2981</th>\n",
-              "      <td>attent maximum retweet help bring back brother...</td>\n",
-              "      <td>2022-09-29</td>\n",
-              "      <td>2</td>\n",
-              "      <td>3</td>\n",
-              "      <td>3</td>\n",
-              "      <td>https://twitter.com/PK2451167992/status/157535...</td>\n",
-              "      <td>[]</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>3006</th>\n",
-              "      <td>much go world right #ai #art simpli send love ...</td>\n",
-              "      <td>2022-09-29</td>\n",
-              "      <td>10</td>\n",
-              "      <td>5</td>\n",
-              "      <td>2</td>\n",
-              "      <td>https://twitter.com/YnobeCrypto/status/1575344...</td>\n",
-              "      <td>[]</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>3502</th>\n",
-              "      <td>retweet regular occasion tweet #ukrainerussiaw...</td>\n",
-              "      <td>2022-09-28</td>\n",
-              "      <td>1</td>\n",
-              "      <td>11</td>\n",
-              "      <td>2</td>\n",
-              "      <td>https://twitter.com/B1EMW/status/1575211708829...</td>\n",
-              "      <td>[nickreeves9876]</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>1105</th>\n",
-              "      <td>bomber biden strangl life europ retweet agre #...</td>\n",
-              "      <td>2022-09-30</td>\n",
-              "      <td>5</td>\n",
-              "      <td>2</td>\n",
-              "      <td>1</td>\n",
-              "      <td>https://twitter.com/Socialism4life/status/1575...</td>\n",
-              "      <td>[]</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>1485</th>\n",
-              "      <td>follow real time announc peopl report locat uk...</td>\n",
-              "      <td>2022-09-30</td>\n",
-              "      <td>3</td>\n",
-              "      <td>0</td>\n",
-              "      <td>0</td>\n",
-              "      <td>https://twitter.com/UkraineOnGround/status/157...</td>\n",
-              "      <td>[]</td>\n",
-              "    </tr>\n",
-              "  </tbody>\n",
-              "</table>\n",
-              "</div>\n",
-              "    <div class=\"colab-df-buttons\">\n",
-              "\n",
-              "  <div class=\"colab-df-container\">\n",
-              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b5fd5158-a387-4f56-8763-add6249b70bf')\"\n",
-              "            title=\"Convert this dataframe to an interactive table.\"\n",
-              "            style=\"display:none;\">\n",
-              "\n",
-              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
-              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
-              "  </svg>\n",
-              "    </button>\n",
-              "\n",
-              "  <style>\n",
-              "    .colab-df-container {\n",
-              "      display:flex;\n",
-              "      gap: 12px;\n",
-              "    }\n",
-              "\n",
-              "    .colab-df-convert {\n",
-              "      background-color: #E8F0FE;\n",
-              "      border: none;\n",
-              "      border-radius: 50%;\n",
-              "      cursor: pointer;\n",
-              "      display: none;\n",
-              "      fill: #1967D2;\n",
-              "      height: 32px;\n",
-              "      padding: 0 0 0 0;\n",
-              "      width: 32px;\n",
-              "    }\n",
-              "\n",
-              "    .colab-df-convert:hover {\n",
-              "      background-color: #E2EBFA;\n",
-              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
-              "      fill: #174EA6;\n",
-              "    }\n",
-              "\n",
-              "    .colab-df-buttons div {\n",
-              "      margin-bottom: 4px;\n",
-              "    }\n",
-              "\n",
-              "    [theme=dark] .colab-df-convert {\n",
-              "      background-color: #3B4455;\n",
-              "      fill: #D2E3FC;\n",
-              "    }\n",
-              "\n",
-              "    [theme=dark] .colab-df-convert:hover {\n",
-              "      background-color: #434B5C;\n",
-              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
-              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
-              "      fill: #FFFFFF;\n",
-              "    }\n",
-              "  </style>\n",
-              "\n",
-              "    <script>\n",
-              "      const buttonEl =\n",
-              "        document.querySelector('#df-b5fd5158-a387-4f56-8763-add6249b70bf button.colab-df-convert');\n",
-              "      buttonEl.style.display =\n",
-              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
-              "\n",
-              "      async function convertToInteractive(key) {\n",
-              "        const element = document.querySelector('#df-b5fd5158-a387-4f56-8763-add6249b70bf');\n",
-              "        const dataTable =\n",
-              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
-              "                                                    [key], {});\n",
-              "        if (!dataTable) return;\n",
-              "\n",
-              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
-              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
-              "          + ' to learn more about interactive tables.';\n",
-              "        element.innerHTML = '';\n",
-              "        dataTable['output_type'] = 'display_data';\n",
-              "        await google.colab.output.renderOutput(dataTable, element);\n",
-              "        const docLink = document.createElement('div');\n",
-              "        docLink.innerHTML = docLinkHtml;\n",
-              "        element.appendChild(docLink);\n",
-              "      }\n",
-              "    </script>\n",
-              "  </div>\n",
-              "\n",
-              "\n",
-              "<div id=\"df-2e8cd461-6b97-49c2-95d4-bb839ad83d06\">\n",
-              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-2e8cd461-6b97-49c2-95d4-bb839ad83d06')\"\n",
-              "            title=\"Suggest charts.\"\n",
-              "            style=\"display:none;\">\n",
-              "\n",
-              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
-              "     width=\"24px\">\n",
-              "    <g>\n",
-              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
-              "    </g>\n",
-              "</svg>\n",
-              "  </button>\n",
-              "\n",
-              "<style>\n",
-              "  .colab-df-quickchart {\n",
-              "      --bg-color: #E8F0FE;\n",
-              "      --fill-color: #1967D2;\n",
-              "      --hover-bg-color: #E2EBFA;\n",
-              "      --hover-fill-color: #174EA6;\n",
-              "      --disabled-fill-color: #AAA;\n",
-              "      --disabled-bg-color: #DDD;\n",
-              "  }\n",
-              "\n",
-              "  [theme=dark] .colab-df-quickchart {\n",
-              "      --bg-color: #3B4455;\n",
-              "      --fill-color: #D2E3FC;\n",
-              "      --hover-bg-color: #434B5C;\n",
-              "      --hover-fill-color: #FFFFFF;\n",
-              "      --disabled-bg-color: #3B4455;\n",
-              "      --disabled-fill-color: #666;\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-quickchart {\n",
-              "    background-color: var(--bg-color);\n",
-              "    border: none;\n",
-              "    border-radius: 50%;\n",
-              "    cursor: pointer;\n",
-              "    display: none;\n",
-              "    fill: var(--fill-color);\n",
-              "    height: 32px;\n",
-              "    padding: 0;\n",
-              "    width: 32px;\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-quickchart:hover {\n",
-              "    background-color: var(--hover-bg-color);\n",
-              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
-              "    fill: var(--button-hover-fill-color);\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-quickchart-complete:disabled,\n",
-              "  .colab-df-quickchart-complete:disabled:hover {\n",
-              "    background-color: var(--disabled-bg-color);\n",
-              "    fill: var(--disabled-fill-color);\n",
-              "    box-shadow: none;\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-spinner {\n",
-              "    border: 2px solid var(--fill-color);\n",
-              "    border-color: transparent;\n",
-              "    border-bottom-color: var(--fill-color);\n",
-              "    animation:\n",
-              "      spin 1s steps(1) infinite;\n",
-              "  }\n",
-              "\n",
-              "  @keyframes spin {\n",
-              "    0% {\n",
-              "      border-color: transparent;\n",
-              "      border-bottom-color: var(--fill-color);\n",
-              "      border-left-color: var(--fill-color);\n",
-              "    }\n",
-              "    20% {\n",
-              "      border-color: transparent;\n",
-              "      border-left-color: var(--fill-color);\n",
-              "      border-top-color: var(--fill-color);\n",
-              "    }\n",
-              "    30% {\n",
-              "      border-color: transparent;\n",
-              "      border-left-color: var(--fill-color);\n",
-              "      border-top-color: var(--fill-color);\n",
-              "      border-right-color: var(--fill-color);\n",
-              "    }\n",
-              "    40% {\n",
-              "      border-color: transparent;\n",
-              "      border-right-color: var(--fill-color);\n",
-              "      border-top-color: var(--fill-color);\n",
-              "    }\n",
-              "    60% {\n",
-              "      border-color: transparent;\n",
-              "      border-right-color: var(--fill-color);\n",
-              "    }\n",
-              "    80% {\n",
-              "      border-color: transparent;\n",
-              "      border-right-color: var(--fill-color);\n",
-              "      border-bottom-color: var(--fill-color);\n",
-              "    }\n",
-              "    90% {\n",
-              "      border-color: transparent;\n",
-              "      border-bottom-color: var(--fill-color);\n",
-              "    }\n",
-              "  }\n",
-              "</style>\n",
-              "\n",
-              "  <script>\n",
-              "    async function quickchart(key) {\n",
-              "      const quickchartButtonEl =\n",
-              "        document.querySelector('#' + key + ' button');\n",
-              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
-              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
-              "      try {\n",
-              "        const charts = await google.colab.kernel.invokeFunction(\n",
-              "            'suggestCharts', [key], {});\n",
-              "      } catch (error) {\n",
-              "        console.error('Error during call to suggestCharts:', error);\n",
-              "      }\n",
-              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
-              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
-              "    }\n",
-              "    (() => {\n",
-              "      let quickchartButtonEl =\n",
-              "        document.querySelector('#df-2e8cd461-6b97-49c2-95d4-bb839ad83d06 button');\n",
-              "      quickchartButtonEl.style.display =\n",
-              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
-              "    })();\n",
-              "  </script>\n",
-              "</div>\n",
-              "    </div>\n",
-              "  </div>\n"
-            ]
-          },
-          "metadata": {}
-        },
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "\n",
-            "Tail:\n"
-          ]
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "text/plain": [
-              "                                                  Tweet       Date  Hashtags  \\\n",
-              "1105  bomber biden strangl life europ retweet agre #... 2022-09-30         5   \n",
-              "1485  follow real time announc peopl report locat uk... 2022-09-30         3   \n",
-              "1625  follow real time inform peopl report present u... 2022-09-30         3   \n",
-              "3303  @kyivindepend everyon honest free world retwee... 2022-09-28         5   \n",
-              "3499  former everton midfield diniyar bilyaletdinov ... 2022-09-28         2   \n",
-              "\n",
-              "      Likes  Retweets                                                Url  \\\n",
-              "1105      2         1  https://twitter.com/Socialism4life/status/1575...   \n",
-              "1485      0         0  https://twitter.com/UkraineOnGround/status/157...   \n",
-              "1625      1         0  https://twitter.com/UkraineOnGround/status/157...   \n",
-              "3303      1         0  https://twitter.com/ingold_we/status/157524809...   \n",
-              "3499      2         0  https://twitter.com/KorrectSports/status/15752...   \n",
-              "\n",
-              "            mentions  \n",
-              "1105              []  \n",
-              "1485              []  \n",
-              "1625              []  \n",
-              "3303  [kyivindepend]  \n",
-              "3499              []  "
-            ],
-            "text/html": [
-              "\n",
-              "  <div id=\"df-41ecc50c-65fe-454b-a586-e56937943d31\" class=\"colab-df-container\">\n",
-              "    <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>Tweet</th>\n",
-              "      <th>Date</th>\n",
-              "      <th>Hashtags</th>\n",
-              "      <th>Likes</th>\n",
-              "      <th>Retweets</th>\n",
-              "      <th>Url</th>\n",
-              "      <th>mentions</th>\n",
-              "    </tr>\n",
-              "  </thead>\n",
-              "  <tbody>\n",
-              "    <tr>\n",
-              "      <th>1105</th>\n",
-              "      <td>bomber biden strangl life europ retweet agre #...</td>\n",
-              "      <td>2022-09-30</td>\n",
-              "      <td>5</td>\n",
-              "      <td>2</td>\n",
-              "      <td>1</td>\n",
-              "      <td>https://twitter.com/Socialism4life/status/1575...</td>\n",
-              "      <td>[]</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>1485</th>\n",
-              "      <td>follow real time announc peopl report locat uk...</td>\n",
-              "      <td>2022-09-30</td>\n",
-              "      <td>3</td>\n",
-              "      <td>0</td>\n",
-              "      <td>0</td>\n",
-              "      <td>https://twitter.com/UkraineOnGround/status/157...</td>\n",
-              "      <td>[]</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>1625</th>\n",
-              "      <td>follow real time inform peopl report present u...</td>\n",
-              "      <td>2022-09-30</td>\n",
-              "      <td>3</td>\n",
-              "      <td>1</td>\n",
-              "      <td>0</td>\n",
-              "      <td>https://twitter.com/UkraineOnGround/status/157...</td>\n",
-              "      <td>[]</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>3303</th>\n",
-              "      <td>@kyivindepend everyon honest free world retwee...</td>\n",
-              "      <td>2022-09-28</td>\n",
-              "      <td>5</td>\n",
-              "      <td>1</td>\n",
-              "      <td>0</td>\n",
-              "      <td>https://twitter.com/ingold_we/status/157524809...</td>\n",
-              "      <td>[kyivindepend]</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>3499</th>\n",
-              "      <td>former everton midfield diniyar bilyaletdinov ...</td>\n",
-              "      <td>2022-09-28</td>\n",
-              "      <td>2</td>\n",
-              "      <td>2</td>\n",
-              "      <td>0</td>\n",
-              "      <td>https://twitter.com/KorrectSports/status/15752...</td>\n",
-              "      <td>[]</td>\n",
-              "    </tr>\n",
-              "  </tbody>\n",
-              "</table>\n",
-              "</div>\n",
-              "    <div class=\"colab-df-buttons\">\n",
-              "\n",
-              "  <div class=\"colab-df-container\">\n",
-              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-41ecc50c-65fe-454b-a586-e56937943d31')\"\n",
-              "            title=\"Convert this dataframe to an interactive table.\"\n",
-              "            style=\"display:none;\">\n",
-              "\n",
-              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
-              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
-              "  </svg>\n",
-              "    </button>\n",
-              "\n",
-              "  <style>\n",
-              "    .colab-df-container {\n",
-              "      display:flex;\n",
-              "      gap: 12px;\n",
-              "    }\n",
-              "\n",
-              "    .colab-df-convert {\n",
-              "      background-color: #E8F0FE;\n",
-              "      border: none;\n",
-              "      border-radius: 50%;\n",
-              "      cursor: pointer;\n",
-              "      display: none;\n",
-              "      fill: #1967D2;\n",
-              "      height: 32px;\n",
-              "      padding: 0 0 0 0;\n",
-              "      width: 32px;\n",
-              "    }\n",
-              "\n",
-              "    .colab-df-convert:hover {\n",
-              "      background-color: #E2EBFA;\n",
-              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
-              "      fill: #174EA6;\n",
-              "    }\n",
-              "\n",
-              "    .colab-df-buttons div {\n",
-              "      margin-bottom: 4px;\n",
-              "    }\n",
-              "\n",
-              "    [theme=dark] .colab-df-convert {\n",
-              "      background-color: #3B4455;\n",
-              "      fill: #D2E3FC;\n",
-              "    }\n",
-              "\n",
-              "    [theme=dark] .colab-df-convert:hover {\n",
-              "      background-color: #434B5C;\n",
-              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
-              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
-              "      fill: #FFFFFF;\n",
-              "    }\n",
-              "  </style>\n",
-              "\n",
-              "    <script>\n",
-              "      const buttonEl =\n",
-              "        document.querySelector('#df-41ecc50c-65fe-454b-a586-e56937943d31 button.colab-df-convert');\n",
-              "      buttonEl.style.display =\n",
-              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
-              "\n",
-              "      async function convertToInteractive(key) {\n",
-              "        const element = document.querySelector('#df-41ecc50c-65fe-454b-a586-e56937943d31');\n",
-              "        const dataTable =\n",
-              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
-              "                                                    [key], {});\n",
-              "        if (!dataTable) return;\n",
-              "\n",
-              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
-              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
-              "          + ' to learn more about interactive tables.';\n",
-              "        element.innerHTML = '';\n",
-              "        dataTable['output_type'] = 'display_data';\n",
-              "        await google.colab.output.renderOutput(dataTable, element);\n",
-              "        const docLink = document.createElement('div');\n",
-              "        docLink.innerHTML = docLinkHtml;\n",
-              "        element.appendChild(docLink);\n",
-              "      }\n",
-              "    </script>\n",
-              "  </div>\n",
-              "\n",
-              "\n",
-              "<div id=\"df-abc2e1c1-e063-4315-8751-fde8af867198\">\n",
-              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-abc2e1c1-e063-4315-8751-fde8af867198')\"\n",
-              "            title=\"Suggest charts.\"\n",
-              "            style=\"display:none;\">\n",
-              "\n",
-              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
-              "     width=\"24px\">\n",
-              "    <g>\n",
-              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
-              "    </g>\n",
-              "</svg>\n",
-              "  </button>\n",
-              "\n",
-              "<style>\n",
-              "  .colab-df-quickchart {\n",
-              "      --bg-color: #E8F0FE;\n",
-              "      --fill-color: #1967D2;\n",
-              "      --hover-bg-color: #E2EBFA;\n",
-              "      --hover-fill-color: #174EA6;\n",
-              "      --disabled-fill-color: #AAA;\n",
-              "      --disabled-bg-color: #DDD;\n",
-              "  }\n",
-              "\n",
-              "  [theme=dark] .colab-df-quickchart {\n",
-              "      --bg-color: #3B4455;\n",
-              "      --fill-color: #D2E3FC;\n",
-              "      --hover-bg-color: #434B5C;\n",
-              "      --hover-fill-color: #FFFFFF;\n",
-              "      --disabled-bg-color: #3B4455;\n",
-              "      --disabled-fill-color: #666;\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-quickchart {\n",
-              "    background-color: var(--bg-color);\n",
-              "    border: none;\n",
-              "    border-radius: 50%;\n",
-              "    cursor: pointer;\n",
-              "    display: none;\n",
-              "    fill: var(--fill-color);\n",
-              "    height: 32px;\n",
-              "    padding: 0;\n",
-              "    width: 32px;\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-quickchart:hover {\n",
-              "    background-color: var(--hover-bg-color);\n",
-              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
-              "    fill: var(--button-hover-fill-color);\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-quickchart-complete:disabled,\n",
-              "  .colab-df-quickchart-complete:disabled:hover {\n",
-              "    background-color: var(--disabled-bg-color);\n",
-              "    fill: var(--disabled-fill-color);\n",
-              "    box-shadow: none;\n",
-              "  }\n",
-              "\n",
-              "  .colab-df-spinner {\n",
-              "    border: 2px solid var(--fill-color);\n",
-              "    border-color: transparent;\n",
-              "    border-bottom-color: var(--fill-color);\n",
-              "    animation:\n",
-              "      spin 1s steps(1) infinite;\n",
-              "  }\n",
-              "\n",
-              "  @keyframes spin {\n",
-              "    0% {\n",
-              "      border-color: transparent;\n",
-              "      border-bottom-color: var(--fill-color);\n",
-              "      border-left-color: var(--fill-color);\n",
-              "    }\n",
-              "    20% {\n",
-              "      border-color: transparent;\n",
-              "      border-left-color: var(--fill-color);\n",
-              "      border-top-color: var(--fill-color);\n",
-              "    }\n",
-              "    30% {\n",
-              "      border-color: transparent;\n",
-              "      border-left-color: var(--fill-color);\n",
-              "      border-top-color: var(--fill-color);\n",
-              "      border-right-color: var(--fill-color);\n",
-              "    }\n",
-              "    40% {\n",
-              "      border-color: transparent;\n",
-              "      border-right-color: var(--fill-color);\n",
-              "      border-top-color: var(--fill-color);\n",
-              "    }\n",
-              "    60% {\n",
-              "      border-color: transparent;\n",
-              "      border-right-color: var(--fill-color);\n",
-              "    }\n",
-              "    80% {\n",
-              "      border-color: transparent;\n",
-              "      border-right-color: var(--fill-color);\n",
-              "      border-bottom-color: var(--fill-color);\n",
-              "    }\n",
-              "    90% {\n",
-              "      border-color: transparent;\n",
-              "      border-bottom-color: var(--fill-color);\n",
-              "    }\n",
-              "  }\n",
-              "</style>\n",
-              "\n",
-              "  <script>\n",
-              "    async function quickchart(key) {\n",
-              "      const quickchartButtonEl =\n",
-              "        document.querySelector('#' + key + ' button');\n",
-              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
-              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
-              "      try {\n",
-              "        const charts = await google.colab.kernel.invokeFunction(\n",
-              "            'suggestCharts', [key], {});\n",
-              "      } catch (error) {\n",
-              "        console.error('Error during call to suggestCharts:', error);\n",
-              "      }\n",
-              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
-              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
-              "    }\n",
-              "    (() => {\n",
-              "      let quickchartButtonEl =\n",
-              "        document.querySelector('#df-abc2e1c1-e063-4315-8751-fde8af867198 button');\n",
-              "      quickchartButtonEl.style.display =\n",
-              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
-              "    })();\n",
-              "  </script>\n",
-              "</div>\n",
-              "    </div>\n",
-              "  </div>\n"
-            ]
-          },
-          "metadata": {}
-        }
-      ]
-    }
-  ]
-}
\ No newline at end of file