diff --git a/notebooks/analysis.ipynb b/notebooks/analysis.ipynb
new file mode 100644
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+++ b/notebooks/analysis.ipynb
@@ -0,0 +1,478 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "id": "initial_id",
+   "metadata": {
+    "collapsed": true,
+    "ExecuteTime": {
+     "end_time": "2025-07-08T15:58:03.741302Z",
+     "start_time": "2025-07-08T15:58:03.737218Z"
+    }
+   },
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "\n",
+    "from misc import load_csv_dataset"
+   ],
+   "outputs": [],
+   "execution_count": 1
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-07-08T15:58:27.047640Z",
+     "start_time": "2025-07-08T15:58:06.842257Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "data = load_csv_dataset(\"names_featured.csv\")\n",
+    "df = pd.DataFrame(data)"
+   ],
+   "id": "74a8a262bc55d976",
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      ">> Loading CSV dataset from names_featured.csv\n",
+      ">> Detected fieldnames: ['name', 'region', 'year', 'words', 'length', 'probable_native', 'probable_surname', 'sex']\n",
+      ">> Successfully loaded with UTF-8 encoding\n"
+     ]
+    }
+   ],
+   "execution_count": 2
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-07-08T15:58:50.742471Z",
+     "start_time": "2025-07-08T15:58:45.080832Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "df['year'] = pd.to_numeric(df['year'], errors='coerce')\n",
+    "df['words'] = pd.to_numeric(df['words'], errors='coerce')\n",
+    "df['length'] = pd.to_numeric(df['length'], errors='coerce')"
+   ],
+   "id": "ebb18cabd40b011f",
+   "outputs": [],
+   "execution_count": 3
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-07-08T15:59:02.783458Z",
+     "start_time": "2025-07-08T15:59:02.297971Z"
+    }
+   },
+   "cell_type": "code",
+   "source": "df.describe().T",
+   "id": "295eda175081129c",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "            count         mean       std     min     25%     50%     75%  \\\n",
+       "year    4418337.0  2017.038495  4.656899  2008.0  2013.0  2018.0  2021.0   \n",
+       "words   4418337.0     2.862385  0.473601     1.0     3.0     3.0     3.0   \n",
+       "length  4418337.0    18.216613  3.498679     1.0    16.0    18.0    21.0   \n",
+       "\n",
+       "           max  \n",
+       "year    2023.0  \n",
+       "words     10.0  \n",
+       "length    49.0  "
+      ],
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>count</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>std</th>\n",
+       "      <th>min</th>\n",
+       "      <th>25%</th>\n",
+       "      <th>50%</th>\n",
+       "      <th>75%</th>\n",
+       "      <th>max</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>year</th>\n",
+       "      <td>4418337.0</td>\n",
+       "      <td>2017.038495</td>\n",
+       "      <td>4.656899</td>\n",
+       "      <td>2008.0</td>\n",
+       "      <td>2013.0</td>\n",
+       "      <td>2018.0</td>\n",
+       "      <td>2021.0</td>\n",
+       "      <td>2023.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>words</th>\n",
+       "      <td>4418337.0</td>\n",
+       "      <td>2.862385</td>\n",
+       "      <td>0.473601</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>10.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>length</th>\n",
+       "      <td>4418337.0</td>\n",
+       "      <td>18.216613</td>\n",
+       "      <td>3.498679</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>49.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 4
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-07-08T15:59:06.087860Z",
+     "start_time": "2025-07-08T15:59:05.834072Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "import numpy as np\n",
+    "from scipy.interpolate import make_interp_spline\n",
+    "\n",
+    "# Step 1: Count frequencies\n",
+    "word_counts = df[\"words\"].value_counts().sort_index()\n",
+    "x = word_counts.index.values       # distinct word counts\n",
+    "y = word_counts.values             # their frequencies\n",
+    "\n",
+    "# Step 2: Create smoother X values (interpolation)\n",
+    "x_smooth = np.linspace(x.min(), x.max(), 300)\n",
+    "spline = make_interp_spline(x, y, k=3)  # cubic spline\n",
+    "y_smooth = spline(x_smooth)\n",
+    "\n",
+    "# Step 3: Plot\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "plt.plot(x_smooth, y_smooth, color='blue', label='Smoothed Curve')\n",
+    "plt.scatter(x, y, color='black', zorder=5, label='Actual Counts')\n",
+    "plt.title(\"Smoothed Word Count Distribution\")\n",
+    "plt.xlabel(\"Number of Words in Name\")\n",
+    "plt.ylabel(\"Frequency\")\n",
+    "plt.grid(True)\n",
+    "plt.legend()\n",
+    "plt.show()\n"
+   ],
+   "id": "c6f41484d947a77a",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ],
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "execution_count": 5
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-07-08T16:02:00.928164Z",
+     "start_time": "2025-07-08T16:02:00.666031Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "import numpy as np\n",
+    "from scipy.interpolate import make_interp_spline\n",
+    "\n",
+    "# Step 1: Count frequencies\n",
+    "word_counts = df[\"length\"].value_counts().sort_index()\n",
+    "x = word_counts.index.values       # distinct word counts\n",
+    "y = word_counts.values             # their frequencies\n",
+    "\n",
+    "# Step 2: Create smoother X values (interpolation)\n",
+    "x_smooth = np.linspace(x.min(), x.max(), 300)\n",
+    "spline = make_interp_spline(x, y, k=3)  # cubic spline\n",
+    "y_smooth = spline(x_smooth)\n",
+    "\n",
+    "# Step 3: Plot\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "plt.plot(x_smooth, y_smooth, color='blue', label='Smoothed Curve')\n",
+    "plt.scatter(x, y, color='black', zorder=5, label='Actual Counts')\n",
+    "plt.title(\"Smoothed Word Count Distribution\")\n",
+    "plt.xlabel(\"Number of Words in Name\")\n",
+    "plt.ylabel(\"Frequency\")\n",
+    "plt.grid(True)\n",
+    "plt.legend()\n",
+    "plt.show()\n"
+   ],
+   "id": "2533054dd18b57c7",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ],
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "execution_count": 6
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-07-08T16:08:48.468235Z",
+     "start_time": "2025-07-08T16:08:47.627659Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "gender_by_year = df.groupby(['year', 'sex']).size().reset_index(name='count')\n",
+    "\n",
+    "plt.figure(figsize=(12, 6))\n",
+    "sns.barplot(data=gender_by_year, x='year', y='count', hue='sex')\n",
+    "plt.title('Gender Count by Year')\n",
+    "plt.xlabel('Year')\n",
+    "plt.ylabel('Count')\n",
+    "plt.xticks(rotation=45)\n",
+    "plt.legend(title='Gender')\n",
+    "plt.show()\n"
+   ],
+   "id": "af313d893f31698f",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ],
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "execution_count": 7
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-07-08T16:09:45.349954Z",
+     "start_time": "2025-07-08T16:09:45.086546Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "sex_counts = df['sex'].value_counts()\n",
+    "\n",
+    "plt.figure(figsize=(8, 8))\n",
+    "plt.pie(sex_counts, labels=sex_counts.index, autopct='%1.1f%%', startangle=90, colors=['lightblue', 'lightpink'])\n",
+    "plt.title('Distribution of Sex')\n",
+    "plt.show()\n"
+   ],
+   "id": "93232202305056a3",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 800x800 with 1 Axes>"
+      ],
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "execution_count": 8
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-07-08T16:13:37.061494Z",
+     "start_time": "2025-07-08T16:13:36.764013Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "plt.figure(figsize=(10, 6))\n",
+    "plt.hist(df['words'], bins=30, color='skyblue', edgecolor='black')\n",
+    "plt.title('Histogram of Word Counts')\n",
+    "plt.xlabel('Word Counts')\n",
+    "plt.ylabel('Frequency')\n",
+    "plt.show()"
+   ],
+   "id": "f7b8afb3bc565875",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ],
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "execution_count": 9
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-07-08T16:13:42.022402Z",
+     "start_time": "2025-07-08T16:13:41.781236Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "plt.figure(figsize=(10, 6))\n",
+    "plt.hist(df['length'], bins=30, color='lightgreen', edgecolor='black')\n",
+    "plt.title('Histogram of Name Lengths')\n",
+    "plt.xlabel('Name Lengths')\n",
+    "plt.ylabel('Frequency')\n",
+    "plt.show()"
+   ],
+   "id": "f5c322d32b2d60fa",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ],
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "execution_count": 10
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-07-08T16:14:08.587040Z",
+     "start_time": "2025-07-08T16:13:47.209322Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "plt.figure(figsize=(8, 6))\n",
+    "sns.boxplot(data=df[['words', 'length']])\n",
+    "plt.title('Boxplots of Word Counts and Name Lengths')\n",
+    "plt.ylabel('Values')\n",
+    "plt.xticks(ticks=[0, 1], labels=['Words', 'Length'])\n",
+    "plt.show()"
+   ],
+   "id": "cc849ca9d9d43ae3",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ],
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "execution_count": 11
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-07-08T18:18:51.166573Z",
+     "start_time": "2025-07-08T18:18:42.805191Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "plt.figure(figsize=(10, 6))\n",
+    "sns.scatterplot(data=df, x='length', y='words', alpha=0.7)\n",
+    "plt.title('Scatterplot: Name Length vs Word Counts')\n",
+    "plt.xlabel('Name Length')\n",
+    "plt.ylabel('Word Counts')\n",
+    "plt.grid(True)\n",
+    "plt.show()\n"
+   ],
+   "id": "f27c59dd8b8eaf4b",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ],
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "execution_count": 14
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/eda.ipynb b/notebooks/eda.ipynb
index e18630a..3256d97 100644
--- a/notebooks/eda.ipynb
+++ b/notebooks/eda.ipynb
@@ -2,20 +2,13 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
    "id": "c93a55c8",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      ">> Loading CSV dataset from names.csv\n",
-      ">> Detected fieldnames: ['name', 'sex', 'region', 'year']\n",
-      ">> Successfully loaded with UTF-8 encoding\n"
-     ]
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-07-03T10:13:26.569404Z",
+     "start_time": "2025-07-03T10:13:04.404599Z"
     }
-   ],
+   },
    "source": [
     "#dependencies for visualization\n",
     "import pandas as pd\n",
@@ -32,16 +25,53 @@
     "\n",
     "data = load_csv_dataset(\"names.csv\")\n",
     "df = pd.DataFrame(data)"
-   ]
+   ],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      ">> Loading CSV dataset from names.csv\n",
+      ">> Detected fieldnames: ['name', 'sex', 'region', 'year']\n",
+      ">> Successfully loaded with UTF-8 encoding\n"
+     ]
+    }
+   ],
+   "execution_count": 1
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
    "id": "0374f8ee",
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-07-03T10:13:53.107207Z",
+     "start_time": "2025-07-03T10:13:30.265456Z"
+    }
+   },
+   "source": [
+    "#breakdown of names into surname, middle name and first name\n",
+    "#constraint: take into account compound names (eg. ILUNGA WA ILUNGA MARC)\n",
+    "#            take into account missing names (eg. LOKUA KANZA, KASONGO GERMAINE)\n",
+    "\n",
+    "df['split'] = df['name'].str.strip().str.split()\n",
+    "df = df[df['split'].notna() & df['split'].str.len() > 0]\n",
+    "df['surname'] = df['split'].apply(lambda x: x[0] if len(x) >= 1 else \"null\")\n",
+    "df['first_name'] = df['split'].apply(lambda x: x[-1] if len(x) >= 2 else \"null\")\n",
+    "df['middle_name'] = df['split'].apply(lambda x: ' '.join(x[1:-1]) if len(x) > 2 else \"null\")\n",
+    "df.drop(columns=['split'], inplace=True)\n",
+    "df[['name', 'surname', 'middle_name', 'first_name']].head()"
+   ],
    "outputs": [
     {
      "data": {
+      "text/plain": [
+       "                         name      surname  middle_name first_name\n",
+       "0   DIKOKO PAMITSHEFU FABRICE       DIKOKO   PAMITSHEFU    FABRICE\n",
+       "1    EPENGE DJONGESONGO JONAS       EPENGE  DJONGESONGO      JONAS\n",
+       "2    EYONGOYONGO SHAKO MICHEL  EYONGOYONGO        SHAKO     MICHEL\n",
+       "3      KASSONGO OSANGO ISRAEL     KASSONGO       OSANGO     ISRAEL\n",
+       "4  OKAWONGA ONGONDJO ALPHONSE     OKAWONGA     ONGONDJO   ALPHONSE"
+      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -106,14 +136,6 @@
        "  </tbody>\n",
        "</table>\n",
        "</div>"
-      ],
-      "text/plain": [
-       "                         name      surname  middle_name first_name\n",
-       "0   DIKOKO PAMITSHEFU FABRICE       DIKOKO   PAMITSHEFU    FABRICE\n",
-       "1    EPENGE DJONGESONGO JONAS       EPENGE  DJONGESONGO      JONAS\n",
-       "2    EYONGOYONGO SHAKO MICHEL  EYONGOYONGO        SHAKO     MICHEL\n",
-       "3      KASSONGO OSANGO ISRAEL     KASSONGO       OSANGO     ISRAEL\n",
-       "4  OKAWONGA ONGONDJO ALPHONSE     OKAWONGA     ONGONDJO   ALPHONSE"
       ]
      },
      "execution_count": 2,
@@ -121,52 +143,68 @@
      "output_type": "execute_result"
     }
    ],
-   "source": [
-    "#breakdown of names into surname, middle name and first name\n",
-    "#constraint: take into account compound names (eg. ILUNGA WA ILUNGA MARC)\n",
-    "#            take into account missing names (eg. LOKUA KANZA, KASONGO GERMAINE)\n",
-    "\n",
-    "df['split'] = df['name'].str.strip().str.split()\n",
-    "df = df[df['split'].notna() & df['split'].str.len() > 0]\n",
-    "df['surname'] = df['split'].apply(lambda x: x[0] if len(x) >= 1 else \"null\")\n",
-    "df['first_name'] = df['split'].apply(lambda x: x[-1] if len(x) >= 2 else \"null\")\n",
-    "df['middle_name'] = df['split'].apply(lambda x: ' '.join(x[1:-1]) if len(x) > 2 else \"null\")\n",
-    "df.drop(columns=['split'], inplace=True)\n",
-    "df[['name', 'surname', 'middle_name', 'first_name']].head()"
-   ]
+   "execution_count": 2
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
    "id": "f2924f79",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-07-03T10:14:06.060688Z",
+     "start_time": "2025-07-03T10:13:57.540461Z"
     }
-   ],
+   },
    "source": [
     "# Simple distribution of first names (display of the 10 most popular first names)\n",
     "sns.countplot(y=df['first_name'], order=df['first_name'].value_counts().iloc[:10].index)\n",
     "plt.title(\"Top 10 first names\")\n",
     "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "76979895",
-   "metadata": {},
+   ],
    "outputs": [
     {
      "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ],
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "execution_count": 3
+  },
+  {
+   "cell_type": "code",
+   "id": "76979895",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-07-03T10:14:13.209239Z",
+     "start_time": "2025-07-03T10:14:12.462839Z"
+    }
+   },
+   "source": [
+    "firstnames = df['first_name'].value_counts()\n",
+    "df_firstnames = firstnames.reset_index()\n",
+    "df_firstnames.columns = ['FIrst name', 'quantity']\n",
+    "df_firstnames.head(10)"
+   ],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "  FIrst name  quantity\n",
+       "0       JEAN     77520\n",
+       "1     JOSEPH     33433\n",
+       "2     ESTHER     30778\n",
+       "3      MARIE     29289\n",
+       "4      DAVID     26122\n",
+       "5      GRACE     26120\n",
+       "6     DORCAS     25999\n",
+       "7       RUTH     25734\n",
+       "8      SARAH     25275\n",
+       "9    PATRICK     25146"
+      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -244,19 +282,6 @@
        "  </tbody>\n",
        "</table>\n",
        "</div>"
-      ],
-      "text/plain": [
-       "  FIrst name  quantity\n",
-       "0       JEAN     77520\n",
-       "1     JOSEPH     33433\n",
-       "2     ESTHER     30778\n",
-       "3      MARIE     29289\n",
-       "4      DAVID     26122\n",
-       "5      GRACE     26120\n",
-       "6     DORCAS     25999\n",
-       "7       RUTH     25734\n",
-       "8      SARAH     25275\n",
-       "9    PATRICK     25146"
       ]
      },
      "execution_count": 4,
@@ -264,30 +289,17 @@
      "output_type": "execute_result"
     }
    ],
-   "source": [
-    "firstnames = df['first_name'].value_counts()\n",
-    "df_firstnames = firstnames.reset_index()\n",
-    "df_firstnames.columns = ['FIrst name', 'quantity']\n",
-    "df_firstnames.head(10)"
-   ]
+   "execution_count": 4
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
    "id": "5022f136-3174-406d-acf0-dee379969213",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      ">> Total number of first names registered : 4259141\n",
-      ">> Number of all-male first names : 128856\n",
-      ">> Number of all-female first names : 70806\n",
-      ">> Number of all-neutral first names : 31849\n"
-     ]
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-07-03T10:14:20.920229Z",
+     "start_time": "2025-07-03T10:14:18.776729Z"
     }
-   ],
+   },
    "source": [
     "# Total number of distinct first names\n",
     "total_firstnames = df['first_name'].notna().sum()\n",
@@ -301,25 +313,30 @@
     "print(f\">> Number of all-female first names : {len(female_firstnames)}\")\n",
     "neutral_firstnames = firstnames_by_sex[(firstnames_by_sex['M'] > 0) & (firstnames_by_sex['F'] > 0)]\n",
     "print(f\">> Number of all-neutral first names : {len(neutral_firstnames)}\")\n"
-   ]
+   ],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      ">> Total number of first names registered : 4259140\n",
+      ">> Number of all-male first names : 128856\n",
+      ">> Number of all-female first names : 70806\n",
+      ">> Number of all-neutral first names : 31849\n"
+     ]
+    }
+   ],
+   "execution_count": 5
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
    "id": "cfeec858-ad7e-4173-9262-a7d6e08a31d9",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 600x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-07-03T10:14:25.256143Z",
+     "start_time": "2025-07-03T10:14:25.149415Z"
     }
-   ],
+   },
    "source": [
     "# data for graphic interpretation \n",
     "labels = ['Male', 'Female', 'Neutral']\n",
@@ -331,7 +348,20 @@
     "plt.title(\"Distribution of first names by sex\")\n",
     "plt.axis('equal')\n",
     "plt.show()"
-   ]
+   ],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 600x600 with 1 Axes>"
+      ],
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "execution_count": 6
   },
   {
    "cell_type": "code",