Upload datacreation.ipynb

datacreation.ipynb

@@ -20,13 +20,13 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 81,
+      "execution_count": 1,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
         "id": "f48c8f8c",
-        "outputId": "d0cf9eb7-407a-4275-a05d-a6016d1d3277"
+        "outputId": "13d0dd5e-82c6-489f-b1f0-e970186a4eb7"
       },
       "outputs": [
         {
@@ -46,8 +46,8 @@
             "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.12/dist-packages (from pandas) (2025.3)\n",
             "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (1.3.3)\n",
             "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (0.12.1)\n",
-            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (4.62.1)\n",
-            "Requirement already satisfied: kiwisolver>=1.3.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (1.5.0)\n",
+            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (4.61.1)\n",
+            "Requirement already satisfied: kiwisolver>=1.3.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (1.4.9)\n",
             "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (26.0)\n",
             "Requirement already satisfied: pillow>=8 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (11.3.0)\n",
             "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib) (3.3.2)\n",
@@ -85,7 +85,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 82,
+      "execution_count": 2,
       "metadata": {
         "id": "91d52125"
       },
@@ -113,7 +113,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 83,
+      "execution_count": 3,
       "metadata": {
         "id": "xqO5Y3dnYhxt"
       },
@@ -145,12 +145,19 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 83,
+      "execution_count": 4,
       "metadata": {
         "id": "l5FkkNhUYTHh"
       },
       "outputs": [],
-      "source": []
+      "source": [
+        "# 🗂️ Create DataFrame\n",
+        "df_books = pd.DataFrame({\n",
+        "    \"title\": titles,\n",
+        "    \"price\": prices,\n",
+        "    \"rating\": ratings\n",
+        "})"
+      ]
     },
     {
       "cell_type": "markdown",
@@ -163,52 +170,7 @@
     },
     {
       "cell_type": "code",
-      "source": [
-        "import pandas as pd\n",
-        "\n",
-        "df_books = pd.DataFrame({\n",
-        "    \"title\": [\"Book A\", \"Book B\", \"Book C\"],\n",
-        "    \"price\": [10.99, 12.50, 8.99],\n",
-        "    \"rating\": [4, 5, 3]\n",
-        "})"
-      ],
-      "metadata": {
-        "id": "j_U7YrVrrN3n"
-      },
-      "execution_count": 84,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "df_books.to_csv(\"books_data.csv\", index=False)"
-      ],
-      "metadata": {
-        "id": "KJ-lE6ktrQX9"
-      },
-      "execution_count": 85,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "df_reviews = pd.DataFrame({\n",
-        "    \"title\": [\"Book A\", \"Book B\"],\n",
-        "    \"review\": [\"Great book\", \"Okay book\"],\n",
-        "    \"sentiment_label\": [\"positive\", \"neutral\"]\n",
-        "})\n",
-        "\n",
-        "df_reviews.to_csv(\"synthetic_book_reviews.csv\", index=False)"
-      ],
-      "metadata": {
-        "id": "AqZUPGJtrSET"
-      },
-      "execution_count": 86,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 87,
+      "execution_count": 5,
       "metadata": {
         "id": "lC1U_YHtZifh"
       },
@@ -232,12 +194,183 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 87,
+      "execution_count": 6,
       "metadata": {
-        "id": "O_wIvTxYZqCK"
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 0
+        },
+        "id": "O_wIvTxYZqCK",
+        "outputId": "349b36b0-c008-4fd5-d4a4-dba38ae18337"
       },
-      "outputs": [],
-      "source": []
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "                                   title  price rating\n",
+              "0                   A Light in the Attic  51.77  Three\n",
+              "1                     Tipping the Velvet  53.74    One\n",
+              "2                             Soumission  50.10    One\n",
+              "3                          Sharp Objects  47.82   Four\n",
+              "4  Sapiens: A Brief History of Humankind  54.23   Five"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-04c87660-4415-45e9-ad3b-3fa19d9402c2\" 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",
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+              "\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>title</th>\n",
+              "      <th>price</th>\n",
+              "      <th>rating</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>A Light in the Attic</td>\n",
+              "      <td>51.77</td>\n",
+              "      <td>Three</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>Tipping the Velvet</td>\n",
+              "      <td>53.74</td>\n",
+              "      <td>One</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>Soumission</td>\n",
+              "      <td>50.10</td>\n",
+              "      <td>One</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>Sharp Objects</td>\n",
+              "      <td>47.82</td>\n",
+              "      <td>Four</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>Sapiens: A Brief History of Humankind</td>\n",
+              "      <td>54.23</td>\n",
+              "      <td>Five</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-04c87660-4415-45e9-ad3b-3fa19d9402c2')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
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+              "  </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-04c87660-4415-45e9-ad3b-3fa19d9402c2 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-04c87660-4415-45e9-ad3b-3fa19d9402c2');\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>\n",
+              "  </div>\n"
+            ],
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "dataframe",
+              "variable_name": "df_books",
+              "summary": "{\n  \"name\": \"df_books\",\n  \"rows\": 1000,\n  \"fields\": [\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 999,\n        \"samples\": [\n          \"The Grownup\",\n          \"Persepolis: The Story of a Childhood (Persepolis #1-2)\",\n          \"Ayumi's Violin\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"price\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 14.446689669952772,\n        \"min\": 10.0,\n        \"max\": 59.99,\n        \"num_unique_values\": 903,\n        \"samples\": [\n          19.73,\n          55.65,\n          46.31\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rating\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"One\",\n          \"Two\",\n          \"Four\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+            }
+          },
+          "metadata": {},
+          "execution_count": 6
+        }
+      ],
+      "source": [
+        "df_books.head()"
+      ]
     },
     {
       "cell_type": "markdown",
@@ -259,7 +392,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 88,
+      "execution_count": 7,
       "metadata": {
         "id": "-gPXGcRPuV_9"
       },
@@ -286,7 +419,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 89,
+      "execution_count": 8,
       "metadata": {
         "id": "mnd5hdAbaNjz"
       },
@@ -309,12 +442,14 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 89,
+      "execution_count": 9,
       "metadata": {
         "id": "V-G3OCUCgR07"
       },
       "outputs": [],
-      "source": []
+      "source": [
+        "df_books[\"popularity_score\"] = df_books[\"rating\"].apply(generate_popularity_score)"
+      ]
     },
     {
       "cell_type": "markdown",
@@ -327,7 +462,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 90,
+      "execution_count": 10,
       "metadata": {
         "id": "kUtWmr8maZLZ"
       },
@@ -353,12 +488,14 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 90,
+      "execution_count": 11,
       "metadata": {
         "id": "tafQj8_7gYCG"
       },
       "outputs": [],
-      "source": []
+      "source": [
+        "df_books[\"sentiment_label\"] = df_books[\"popularity_score\"].apply(get_sentiment)"
+      ]
     },
     {
       "cell_type": "markdown",
@@ -380,7 +517,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 91,
+      "execution_count": 12,
       "metadata": {
         "id": "qkVhYPXGbgEn"
       },
@@ -417,38 +554,7 @@
     },
     {
       "cell_type": "code",
-      "source": [
-        "import numpy as np\n",
-        "\n",
-        "if \"sentiment_label\" not in df_books.columns:\n",
-        "    labels = [\"positive\", \"neutral\", \"negative\"]\n",
-        "    df_books[\"sentiment_label\"] = np.random.choice(labels, size=len(df_books))\n",
-        ""
-      ],
-      "metadata": {
-        "id": "mNYR6hMcs1P9"
-      },
-      "execution_count": 92,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "import numpy as np\n",
-        "\n",
-        "if \"sentiment_label\" not in df_books.columns:\n",
-        "    labels = [\"positive\", \"neutral\", \"negative\"]\n",
-        "    df_books[\"sentiment_label\"] = np.random.choice(labels, size=len(df_books))"
-      ],
-      "metadata": {
-        "id": "crhSJ861s27Q"
-      },
-      "execution_count": 93,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 94,
+      "execution_count": 13,
       "metadata": {
         "id": "SlJ24AUafoDB"
       },
@@ -477,12 +583,14 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 94,
+      "execution_count": 14,
       "metadata": {
         "id": "wcN6gtiZg-ws"
       },
       "outputs": [],
-      "source": []
+      "source": [
+        "df_sales = pd.DataFrame(sales_data)"
+      ]
     },
     {
       "cell_type": "markdown",
@@ -495,151 +603,25 @@
     },
     {
       "cell_type": "code",
-      "source": [
-        "sales_data = []\n",
-        "for _, row in df_books.iterrows():\n",
-        "    records = generate_sales_profile(row[\"sentiment_label\"])\n",
-        "    for month, units in records:\n",
-        "        sales_data.append({\n",
-        "            \"title\": row[\"title\"],\n",
-        "            \"month\": month,\n",
-        "            \"units_sold\": units,\n",
-        "            \"sentiment_label\": row[\"sentiment_label\"]\n",
-        "        })"
-      ],
-      "metadata": {
-        "id": "R0XK8LjDtXCe"
-      },
-      "execution_count": 95,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "df_sales = pd.DataFrame(sales_data)\n",
-        "df_sales.to_csv(\"synthetic_sales_data.csv\", index=False)\n",
-        "print(df_sales.head())"
-      ],
-      "metadata": {
-        "id": "f5qTbY8itZPE",
-        "outputId": "187b94f4-5c87-43b1-f69b-fe1e6ae7d433",
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        }
-      },
-      "execution_count": 96,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "    title    month  units_sold sentiment_label\n",
-            "0  Book A  2024-10          49        negative\n",
-            "1  Book A  2024-11          56        negative\n",
-            "2  Book A  2024-12          71        negative\n",
-            "3  Book A  2025-01          64        negative\n",
-            "4  Book A  2025-02          61        negative\n"
-          ]
-        }
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "import numpy as np\n",
-        "\n",
-        "if \"sentiment_label\" not in df_books.columns:\n",
-        "    labels = [\"positive\", \"neutral\", \"negative\"]\n",
-        "    df_books[\"sentiment_label\"] = np.random.choice(labels, size=len(df_books))"
-      ],
-      "metadata": {
-        "id": "5ebVuc_KtZ_O"
-      },
-      "execution_count": 97,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        " sales_data = []\n",
-        "for _, row in df_books.iterrows():\n",
-        "    records = generate_sales_profile(row[\"sentiment_label\"])\n",
-        "    for month, units in records:\n",
-        "        sales_data.append({\n",
-        "            \"title\": row[\"title\"],\n",
-        "            \"month\": month,\n",
-        "            \"units_sold\": units,\n",
-        "            \"sentiment_label\": row[\"sentiment_label\"]\n",
-        "        })"
-      ],
-      "metadata": {
-        "id": "VXxCmPTatcug"
-      },
-      "execution_count": 98,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "df_sales = pd.DataFrame(sales_data)\n",
-        "df_sales.to_csv(\"synthetic_sales_data.csv\", index=False)\n",
-        "print(\"✅ synthetic_sales_data.csv created\")\n",
-        "print(df_sales.head())"
-      ],
-      "metadata": {
-        "id": "l3fLhuNVte15",
-        "outputId": "b61c06a4-a534-4f4d-e5f6-a348741f7980",
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        }
-      },
-      "execution_count": 99,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "✅ synthetic_sales_data.csv created\n",
-            "    title    month  units_sold sentiment_label\n",
-            "0  Book A  2024-10          31        negative\n",
-            "1  Book A  2024-11          26        negative\n",
-            "2  Book A  2024-12          22        negative\n",
-            "3  Book A  2025-01          34        negative\n",
-            "4  Book A  2025-02          24        negative\n"
-          ]
-        }
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [],
-      "metadata": {
-        "id": "B3owNJclthJm"
-      },
-      "execution_count": 99,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 100,
+      "execution_count": 15,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
         "id": "MzbZvLcAhGaH",
-        "outputId": "4858910f-6703-4d9c-bdda-76cf5cfef58e"
+        "outputId": "c692bb04-7263-4115-a2ba-c72fe0180722"
       },
       "outputs": [
         {
           "output_type": "stream",
           "name": "stdout",
           "text": [
-            "    title    month  units_sold sentiment_label\n",
-            "0  Book A  2024-10          31        negative\n",
-            "1  Book A  2024-11          26        negative\n",
-            "2  Book A  2024-12          22        negative\n",
-            "3  Book A  2025-01          34        negative\n",
-            "4  Book A  2025-02          24        negative\n"
+            "                  title    month  units_sold sentiment_label\n",
+            "0  A Light in the Attic  2024-08         100         neutral\n",
+            "1  A Light in the Attic  2024-09         109         neutral\n",
+            "2  A Light in the Attic  2024-10         102         neutral\n",
+            "3  A Light in the Attic  2024-11         107         neutral\n",
+            "4  A Light in the Attic  2024-12         108         neutral\n"
           ]
         }
       ],
@@ -669,7 +651,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 101,
+      "execution_count": 16,
       "metadata": {
         "id": "b3cd2a50"
       },
@@ -680,16 +662,156 @@
         "        \"A compelling and heartwarming read that stayed with me long after I finished.\",\n",
         "        \"Brilliantly written! The characters were unforgettable and the plot was engaging.\",\n",
         "        \"One of the best books I've read this year — inspiring and emotionally rich.\",\n",
+        "        \"The author's storytelling was vivid and powerful. Highly recommended!\",\n",
+        "        \"An absolute masterpiece. I couldn't put it down from start to finish.\",\n",
+        "        \"Gripping, intelligent, and beautifully crafted — I loved every page.\",\n",
+        "        \"The emotional depth and layered narrative were just perfect.\",\n",
+        "        \"A thought-provoking journey with stunning character development.\",\n",
+        "        \"Everything about this book just clicked. A top-tier read!\",\n",
+        "        \"A flawless blend of emotion, intrigue, and style. Truly impressive.\",\n",
+        "        \"Absolutely stunning work of fiction. Five stars from me.\",\n",
+        "        \"Remarkably executed with breathtaking prose.\",\n",
+        "        \"The pacing was perfect and I was hooked from page one.\",\n",
+        "        \"Heartfelt and hopeful — a story well worth telling.\",\n",
+        "        \"A vivid journey through complex emotions and stunning imagery.\",\n",
+        "        \"This book had soul. Every word felt like it mattered.\",\n",
+        "        \"It delivered more than I ever expected. Powerful and wise.\",\n",
+        "        \"The characters leapt off the page and into my heart.\",\n",
+        "        \"I could see every scene clearly in my mind — beautifully descriptive.\",\n",
+        "        \"Refreshing, original, and impossible to forget.\",\n",
+        "        \"A radiant celebration of resilience and love.\",\n",
+        "        \"Powerful themes handled with grace and insight.\",\n",
+        "        \"An unforgettable literary experience.\",\n",
+        "        \"The best book club pick we’ve had all year.\",\n",
+        "        \"A layered, lyrical narrative that resonates deeply.\",\n",
+        "        \"Surprising, profound, and deeply humane.\",\n",
+        "        \"One of those rare books I wish I could read again for the first time.\",\n",
+        "        \"Both epic and intimate — a perfect balance.\",\n",
+        "        \"It reads like a love letter to the human spirit.\",\n",
+        "        \"Satisfying and uplifting with a memorable ending.\",\n",
+        "        \"This novel deserves every bit of praise it gets.\",\n",
+        "        \"Introspective, emotional, and elegantly composed.\",\n",
+        "        \"A tour de force in contemporary fiction.\",\n",
+        "        \"Left me smiling, teary-eyed, and completely fulfilled.\",\n",
+        "        \"A novel with the rare ability to entertain and enlighten.\",\n",
+        "        \"Incredibly moving. I highlighted so many lines.\",\n",
+        "        \"A smart, sensitive take on relationships and identity.\",\n",
+        "        \"You feel wiser by the end of it.\",\n",
+        "        \"A gorgeously crafted tale about hope and second chances.\",\n",
+        "        \"Poignant and real — a beautiful escape.\",\n",
+        "        \"Brims with insight and authenticity.\",\n",
+        "        \"Compelling characters and a satisfying plot.\",\n",
+        "        \"An empowering and important read.\",\n",
+        "        \"Elegantly crafted and deeply humane.\",\n",
+        "        \"Taut storytelling that never lets go.\",\n",
+        "        \"Each chapter offered a new treasure.\",\n",
+        "        \"Lyrical writing that stays with you.\",\n",
+        "        \"A wonderful blend of passion and thoughtfulness.\",\n",
+        "        \"Uplifting, honest, and completely engrossing.\",\n",
+        "        \"This one made me believe in storytelling again.\"\n",
         "    ],\n",
         "    \"neutral\": [\n",
         "        \"An average book — not great, but not bad either.\",\n",
         "        \"Some parts really stood out, others felt a bit flat.\",\n",
         "        \"It was okay overall. A decent way to pass the time.\",\n",
+        "        \"The writing was fine, though I didn’t fully connect with the story.\",\n",
+        "        \"Had a few memorable moments but lacked depth in some areas.\",\n",
+        "        \"A mixed experience — neither fully engaging nor forgettable.\",\n",
+        "        \"There was potential, but it didn't quite come together for me.\",\n",
+        "        \"A reasonable effort that just didn’t leave a lasting impression.\",\n",
+        "        \"Serviceable but not something I'd go out of my way to recommend.\",\n",
+        "        \"Not much to dislike, but not much to rave about either.\",\n",
+        "        \"It had its strengths, though they didn’t shine consistently.\",\n",
+        "        \"I’m on the fence — parts were enjoyable, others not so much.\",\n",
+        "        \"The book had a unique concept but lacked execution.\",\n",
+        "        \"A middle-of-the-road read.\",\n",
+        "        \"Engaging at times, but it lost momentum.\",\n",
+        "        \"Would have benefited from stronger character development.\",\n",
+        "        \"It passed the time, but I wouldn't reread it.\",\n",
+        "        \"The plot had some holes that affected immersion.\",\n",
+        "        \"Mediocre pacing made it hard to stay invested.\",\n",
+        "        \"Satisfying in parts, underwhelming in others.\",\n",
+        "        \"Neutral on this one — didn’t love it or hate it.\",\n",
+        "        \"Fairly forgettable but with glimpses of promise.\",\n",
+        "        \"The themes were solid, but not well explored.\",\n",
+        "        \"Competent, just not compelling.\",\n",
+        "        \"Had moments of clarity and moments of confusion.\",\n",
+        "        \"I didn’t regret reading it, but I wouldn’t recommend it.\",\n",
+        "        \"Readable, yet uninspired.\",\n",
+        "        \"There was a spark, but it didn’t ignite.\",\n",
+        "        \"A slow burn that didn’t quite catch fire.\",\n",
+        "        \"I expected more nuance given the premise.\",\n",
+        "        \"A safe, inoffensive choice.\",\n",
+        "        \"Some parts lagged, others piqued my interest.\",\n",
+        "        \"Decent, but needed polish.\",\n",
+        "        \"Moderately engaging but didn’t stick the landing.\",\n",
+        "        \"It simply lacked that emotional punch.\",\n",
+        "        \"Just fine — no better, no worse.\",\n",
+        "        \"Some thoughtful passages amid otherwise dry writing.\",\n",
+        "        \"I appreciated the ideas more than the execution.\",\n",
+        "        \"Struggled with cohesion.\",\n",
+        "        \"Solidly average.\",\n",
+        "        \"Good on paper, flat in practice.\",\n",
+        "        \"A few bright spots, but mostly dim.\",\n",
+        "        \"The kind of book that fades from memory.\",\n",
+        "        \"It scratched the surface but didn’t dig deep.\",\n",
+        "        \"Standard fare with some promise.\",\n",
+        "        \"Okay, but not memorable.\",\n",
+        "        \"Had potential that went unrealized.\",\n",
+        "        \"Could have been tighter, sharper, deeper.\",\n",
+        "        \"A blend of mediocrity and mild interest.\",\n",
+        "        \"I kept reading, but barely.\"\n",
         "    ],\n",
         "    \"negative\": [\n",
         "        \"I struggled to get through this one — it just didn’t grab me.\",\n",
         "        \"The plot was confusing and the characters felt underdeveloped.\",\n",
         "        \"Disappointing. I had high hopes, but they weren't met.\",\n",
+        "        \"Uninspired writing and a story that never quite took off.\",\n",
+        "        \"Unfortunately, it was dull and predictable throughout.\",\n",
+        "        \"The pacing dragged and I couldn’t find anything compelling.\",\n",
+        "        \"This felt like a chore to read — lacked heart and originality.\",\n",
+        "        \"Nothing really worked for me in this book.\",\n",
+        "        \"A frustrating read that left me unsatisfied.\",\n",
+        "        \"I kept hoping it would improve, but it never did.\",\n",
+        "        \"The characters didn’t feel real, and the dialogue was forced.\",\n",
+        "        \"I couldn't connect with the story at all.\",\n",
+        "        \"A slow, meandering narrative with little payoff.\",\n",
+        "        \"Tried too hard to be deep, but just felt empty.\",\n",
+        "        \"The tone was uneven and confusing.\",\n",
+        "        \"Way too repetitive and lacking progression.\",\n",
+        "        \"The ending was abrupt and unsatisfying.\",\n",
+        "        \"No emotional resonance — I felt nothing throughout.\",\n",
+        "        \"I expected much more, but this fell flat.\",\n",
+        "        \"Poorly edited and full of clichés.\",\n",
+        "        \"The premise was interesting, but poorly executed.\",\n",
+        "        \"Just didn’t live up to the praise.\",\n",
+        "        \"A disjointed mess from start to finish.\",\n",
+        "        \"Overly long and painfully dull.\",\n",
+        "        \"Dialogue that felt robotic and unrealistic.\",\n",
+        "        \"A hollow shell of what it could’ve been.\",\n",
+        "        \"It lacked a coherent structure.\",\n",
+        "        \"More confusing than complex.\",\n",
+        "        \"Reading it felt like a task, not a treat.\",\n",
+        "        \"There was no tension, no emotion — just words.\",\n",
+        "        \"Characters with no motivation or development.\",\n",
+        "        \"The plot twists were nonsensical.\",\n",
+        "        \"Regret buying this book.\",\n",
+        "        \"Nothing drew me in, nothing made me stay.\",\n",
+        "        \"Too many subplots and none were satisfying.\",\n",
+        "        \"Tedious and unimaginative.\",\n",
+        "        \"Like reading a rough draft.\",\n",
+        "        \"Disjointed, distant, and disappointing.\",\n",
+        "        \"A lot of buildup with no payoff.\",\n",
+        "        \"I don’t understand the hype.\",\n",
+        "        \"This book simply didn’t work.\",\n",
+        "        \"Forgettable in every sense.\",\n",
+        "        \"More effort should’ve gone into editing.\",\n",
+        "        \"The story lost its way early on.\",\n",
+        "        \"It dragged endlessly.\",\n",
+        "        \"I kept checking how many pages were left.\",\n",
+        "        \"This lacked vision and clarity.\",\n",
+        "        \"I expected substance — got fluff.\",\n",
+        "        \"It failed to make me care.\"\n",
         "    ]\n",
         "}"
       ]
@@ -705,103 +827,18 @@
     },
     {
       "cell_type": "code",
-      "source": [
-        "random.choices(review_pool, k=10)"
-      ],
-      "metadata": {
-        "id": "inTizEVgvS2I",
-        "outputId": "5692f777-aeda-4452-8f42-0db5ff094ddf",
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        }
-      },
-      "execution_count": 102,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "[\"Disappointing. I had high hopes, but they weren't met.\",\n",
-              " \"Disappointing. I had high hopes, but they weren't met.\",\n",
-              " 'I struggled to get through this one — it just didn’t grab me.',\n",
-              " 'I struggled to get through this one — it just didn’t grab me.',\n",
-              " 'I struggled to get through this one — it just didn’t grab me.',\n",
-              " 'The plot was confusing and the characters felt underdeveloped.',\n",
-              " \"Disappointing. I had high hopes, but they weren't met.\",\n",
-              " 'I struggled to get through this one — it just didn’t grab me.',\n",
-              " 'I struggled to get through this one — it just didn’t grab me.',\n",
-              " \"Disappointing. I had high hopes, but they weren't met.\"]"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 102
-        }
-      ]
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "import numpy as np\n",
-        "\n",
-        "if \"popularity_score\" not in df_books.columns:\n",
-        "    df_books[\"popularity_score\"] = np.random.randint(1, 101, size=len(df_books))"
-      ],
-      "metadata": {
-        "id": "wphd_MYCvg4R"
-      },
-      "execution_count": 103,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "import random\n",
-        "\n",
-        "if \"popularity_score\" not in df_books.columns:\n",
-        "    df_books[\"popularity_score\"] = np.random.randint(1, 101, size=len(df_books))\n",
-        "\n",
-        "review_rows = []\n",
-        "for _, row in df_books.iterrows():\n",
-        "    title = row['title']\n",
-        "    sentiment_label = row['sentiment_label']\n",
-        "    review_pool = synthetic_reviews_by_sentiment[sentiment_label]\n",
-        "    sampled_reviews = random.choices(review_pool, k=10)\n",
-        "\n",
-        "    for review_text in sampled_reviews:\n",
-        "        review_rows.append({\n",
-        "            \"title\": title,\n",
-        "            \"sentiment_label\": sentiment_label,\n",
-        "            \"review_text\": review_text,\n",
-        "            \"rating\": row['rating'],\n",
-        "            \"popularity_score\": row['popularity_score']\n",
-        "        })"
-      ],
-      "metadata": {
-        "id": "fBFOohZ2vhyT"
-      },
-      "execution_count": 104,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "source": [],
+      "execution_count": 17,
       "metadata": {
-        "id": "OJsnG5h-vkGN"
+        "id": "l2SRc3PjuTGM"
       },
-      "execution_count": 104,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
+      "outputs": [],
       "source": [
         "review_rows = []\n",
         "for _, row in df_books.iterrows():\n",
         "    title = row['title']\n",
         "    sentiment_label = row['sentiment_label']\n",
         "    review_pool = synthetic_reviews_by_sentiment[sentiment_label]\n",
-        "\n",
-        "    sampled_reviews = random.choices(review_pool, k=10)  # ✅ FIX HERE\n",
-        "\n",
+        "    sampled_reviews = random.sample(review_pool, 10)\n",
         "    for review_text in sampled_reviews:\n",
         "        review_rows.append({\n",
         "            \"title\": title,\n",
@@ -810,12 +847,7 @@
         "            \"rating\": row['rating'],\n",
         "            \"popularity_score\": row['popularity_score']\n",
         "        })"
-      ],
-      "metadata": {
-        "id": "yHoawsbnvYIV"
-      },
-      "execution_count": 105,
-      "outputs": []
+      ]
     },
     {
       "cell_type": "markdown",
@@ -828,7 +860,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 106,
+      "execution_count": 18,
       "metadata": {
         "id": "ZUKUqZsuumsp"
       },
@@ -838,24 +870,15 @@
         "df_reviews.to_csv(\"synthetic_book_reviews.csv\", index=False)"
       ]
     },
-    {
-      "cell_type": "markdown",
-      "source": [
-        "### *c. inputs for R*"
-      ],
-      "metadata": {
-        "id": "_602pYUS3gY5"
-      }
-    },
     {
       "cell_type": "code",
-      "execution_count": 107,
+      "execution_count": 19,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
         "id": "3946e521",
-        "outputId": "bb81b360-789d-409e-f3f1-f9445656af2d"
+        "outputId": "514d7bef-0488-4933-b03c-953b9e8a7f66"
       },
       "outputs": [
         {
@@ -868,6 +891,14 @@
         }
       ],
       "source": [
+        "\n",
+        "# ============================================================\n",
+        "# ✅ Create \"R-ready\" derived inputs (root-level files)\n",
+        "# ============================================================\n",
+        "# These two files make the R notebook robust and fast:\n",
+        "# 1) synthetic_title_level_features.csv  -> regression-ready, one row per title\n",
+        "# 2) synthetic_monthly_revenue_series.csv -> forecasting-ready, one row per month\n",
+        "\n",
         "import numpy as np\n",
         "\n",
         "def _safe_num(s):\n",
@@ -981,12 +1012,38 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 107,
+      "execution_count": 20,
       "metadata": {
-        "id": "xfE8NMqOurKo"
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "xfE8NMqOurKo",
+        "outputId": "191730ba-d5e2-4df7-97d2-99feb0b704af"
       },
-      "outputs": [],
-      "source": []
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "                  title sentiment_label  \\\n",
+            "0  A Light in the Attic         neutral   \n",
+            "1  A Light in the Attic         neutral   \n",
+            "2  A Light in the Attic         neutral   \n",
+            "3  A Light in the Attic         neutral   \n",
+            "4  A Light in the Attic         neutral   \n",
+            "\n",
+            "                                         review_text rating  popularity_score  \n",
+            "0                Had potential that went unrealized.  Three                 3  \n",
+            "1      The themes were solid, but not well explored.  Three                 3  \n",
+            "2             It simply lacked that emotional punch.  Three                 3  \n",
+            "3  Serviceable but not something I'd go out of my...  Three                 3  \n",
+            "4                   Standard fare with some promise.  Three                 3  \n"
+          ]
+        }
+      ],
+      "source": [
+        "print(df_reviews.head())"
+      ]
     }
   ],
   "metadata": {