{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualization of the Titanic's Voyage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-27T17:14:16.583380Z",
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     "shell.execute_reply": "2026-01-27T17:14:16.585780Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "from lets_plot import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-27T17:14:16.586881Z",
     "iopub.status.busy": "2026-01-27T17:14:16.586801Z",
     "iopub.status.idle": "2026-01-27T17:14:16.588401Z",
     "shell.execute_reply": "2026-01-27T17:14:16.588184Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "\n",
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       "        <script type=\"text/javascript\" data-lets-plot-script=\"library\">\n",
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       "            };\n",
       "            (function() {\n",
       "                var script = document.createElement(\"script\");\n",
       "                script.type = \"text/javascript\";\n",
       "                script.src = \"https://cdn.jsdelivr.net/gh/JetBrains/lets-plot@v4.8.2/js-package/distr/lets-plot.min.js\";\n",
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       "                    window.letsPlotCall = function(f) {};    // noop\n",
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       "                    var div = document.createElement(\"div\");\n",
       "                    div.style.color = 'darkred';\n",
       "                    div.textContent = 'Error loading Lets-Plot JS';\n",
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       "                };\n",
       "                var e = document.getElementById(\"C0oxSi\");\n",
       "                e.appendChild(script);\n",
       "            })()\n",
       "        </script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "LetsPlot.setup_html()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Data Preparation\n",
    "\n",
    "The Titanic dataset is available at [kaggle](https://www.kaggle.com) : [\"Titanic: cleaned data\" dataset](https://www.kaggle.com/jamesleslie/titanic-cleaned-data?select=train_clean.csv) (train_clean.csv)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-27T17:14:16.601845Z",
     "iopub.status.busy": "2026-01-27T17:14:16.601722Z",
     "iopub.status.idle": "2026-01-27T17:14:17.013010Z",
     "shell.execute_reply": "2026-01-27T17:14:17.012678Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Cabin</th>\n",
       "      <th>Embarked</th>\n",
       "      <th>Fare</th>\n",
       "      <th>Name</th>\n",
       "      <th>Parch</th>\n",
       "      <th>PassengerId</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Sex</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Ticket</th>\n",
       "      <th>Title</th>\n",
       "      <th>Family_Size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>Braund, Mr. Owen Harris</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>male</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>A/5 21171</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>38.0</td>\n",
       "      <td>C85</td>\n",
       "      <td>C</td>\n",
       "      <td>71.2833</td>\n",
       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>female</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>PC 17599</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>Heikkinen, Miss. Laina</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>female</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STON/O2. 3101282</td>\n",
       "      <td>Miss</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Age Cabin Embarked     Fare  \\\n",
       "0  22.0   NaN        S   7.2500   \n",
       "1  38.0   C85        C  71.2833   \n",
       "2  26.0   NaN        S   7.9250   \n",
       "\n",
       "                                                Name  Parch  PassengerId  \\\n",
       "0                            Braund, Mr. Owen Harris      0            1   \n",
       "1  Cumings, Mrs. John Bradley (Florence Briggs Th...      0            2   \n",
       "2                             Heikkinen, Miss. Laina      0            3   \n",
       "\n",
       "   Pclass     Sex  SibSp  Survived            Ticket Title  Family_Size  \n",
       "0       3    male      1       0.0         A/5 21171    Mr            1  \n",
       "1       1  female      1       1.0          PC 17599   Mrs            1  \n",
       "2       3  female      0       1.0  STON/O2. 3101282  Miss            0  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/titanic.csv\")\n",
    "df.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this Titanic dataset the column `Embarked`contains a single-letter codes of the Titanic's ports of embarkation:\n",
    "- S: Southampton (UK)\n",
    "- C: Cherbourg (France)\n",
    "- Q: Cobh (Ireland)\n",
    "\n",
    "Let's add new colum \"Port\" to the data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-27T17:14:17.013931Z",
     "iopub.status.busy": "2026-01-27T17:14:17.013846Z",
     "iopub.status.idle": "2026-01-27T17:14:17.021179Z",
     "shell.execute_reply": "2026-01-27T17:14:17.020954Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "    }\n",
       "\n",
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       "        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>Age</th>\n",
       "      <th>Cabin</th>\n",
       "      <th>Embarked</th>\n",
       "      <th>Fare</th>\n",
       "      <th>Name</th>\n",
       "      <th>Parch</th>\n",
       "      <th>PassengerId</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Sex</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Ticket</th>\n",
       "      <th>Title</th>\n",
       "      <th>Family_Size</th>\n",
       "      <th>Port</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>Braund, Mr. Owen Harris</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>male</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>A/5 21171</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>Southampton</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>38.0</td>\n",
       "      <td>C85</td>\n",
       "      <td>C</td>\n",
       "      <td>71.2833</td>\n",
       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>female</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>PC 17599</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>1</td>\n",
       "      <td>Cherbourg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>Heikkinen, Miss. Laina</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>female</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STON/O2. 3101282</td>\n",
       "      <td>Miss</td>\n",
       "      <td>0</td>\n",
       "      <td>Southampton</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Age Cabin Embarked     Fare  \\\n",
       "0  22.0   NaN        S   7.2500   \n",
       "1  38.0   C85        C  71.2833   \n",
       "2  26.0   NaN        S   7.9250   \n",
       "\n",
       "                                                Name  Parch  PassengerId  \\\n",
       "0                            Braund, Mr. Owen Harris      0            1   \n",
       "1  Cumings, Mrs. John Bradley (Florence Briggs Th...      0            2   \n",
       "2                             Heikkinen, Miss. Laina      0            3   \n",
       "\n",
       "   Pclass     Sex  SibSp  Survived            Ticket Title  Family_Size  \\\n",
       "0       3    male      1       0.0         A/5 21171    Mr            1   \n",
       "1       1  female      1       1.0          PC 17599   Mrs            1   \n",
       "2       3  female      0       1.0  STON/O2. 3101282  Miss            0   \n",
       "\n",
       "          Port  \n",
       "0  Southampton  \n",
       "1    Cherbourg  \n",
       "2  Southampton  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def to_port_name (row):\n",
    "    if row['Embarked'] == 'S' :\n",
    "        return 'Southampton'\n",
    "    if row['Embarked'] == 'C' :\n",
    "        return 'Cherbourg'\n",
    "    if row['Embarked'] == 'Q' :\n",
    "        return 'Cobh'\n",
    "    return 'Other'\n",
    "\n",
    "df['Port']=df.apply (lambda row: to_port_name(row), axis=1)\n",
    "df.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.1 Travellers Survival Rates by the Port of Embarkation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
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     "shell.execute_reply": "2026-01-27T17:14:17.060120Z"
    }
   },
   "outputs": [
    {
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       "\"..count..\":[427.0,47.0,75.0,94.0,218.0,30.0],\n",
       "\"Port\":[\"Southampton\",\"Cobh\",\"Cherbourg\",\"Cherbourg\",\"Southampton\",\"Cobh\"],\n",
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   "source": [
    "c_surv=\"#E1A439\"\n",
    "c_lost=\"#6B9993\"\n",
    "\n",
    "bars = (ggplot(df) +\n",
    "        geom_bar(\n",
    "            aes('Port', fill=as_discrete('Survived')), \n",
    "            tooltips=layer_tooltips()\n",
    "                .line('@{..count..} (@{..prop..})')\n",
    "                .format('@{..prop..}', '.0%'),\n",
    "            position='dodge') +\n",
    "        scale_fill_manual(values=[c_lost, c_surv], labels=['no', 'yes']) +\n",
    "        scale_x_discrete(limits=['Cobh', 'Cherbourg', 'Southampton']) +\n",
    "        labs(x=\"\", y=\"Travellers count\") + \n",
    "        ggtitle(\"Survival by the Port of Embarkation\")\n",
    ")        \n",
    "\n",
    "bars + ggsize(800, 300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Ports of Embarkation on Map\n",
    "\n",
    "Titanic's ports of of embarkation were:\n",
    "- Southampton (UK)\n",
    "- Cherbourg (France)\n",
    "- Cobh (Ireland)\n",
    "\n",
    "Let's find geographical coordinates of these cities using `Lets-Plot` geocoding module."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-27T17:14:17.061485Z",
     "iopub.status.busy": "2026-01-27T17:14:17.061381Z",
     "iopub.status.idle": "2026-01-27T17:14:17.090340Z",
     "shell.execute_reply": "2026-01-27T17:14:17.089999Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geodata is provided by © OpenStreetMap contributors and is made available here under the Open Database License (ODbL).\n"
     ]
    }
   ],
   "source": [
    "from lets_plot.geo_data import *\n",
    "\n",
    "ports = ['Southampton', 'Cherbourg', 'Cobh']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.1 Spatial DataFrame (Pandas GeoDataFrame)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-27T17:14:17.091471Z",
     "iopub.status.busy": "2026-01-27T17:14:17.091391Z",
     "iopub.status.idle": "2026-01-27T17:14:17.546604Z",
     "shell.execute_reply": "2026-01-27T17:14:17.546127Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>city</th>\n",
       "      <th>found name</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Southampton</td>\n",
       "      <td>Southampton</td>\n",
       "      <td>POINT (-1.40254 50.91837)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Cherbourg</td>\n",
       "      <td>Cherbourg</td>\n",
       "      <td>POINT (-1.60901 49.62728)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Cobh</td>\n",
       "      <td>Cobh</td>\n",
       "      <td>POINT (-8.29428 51.85315)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          city   found name                   geometry\n",
       "0  Southampton  Southampton  POINT (-1.40254 50.91837)\n",
       "1    Cherbourg    Cherbourg  POINT (-1.60901 49.62728)\n",
       "2         Cobh         Cobh  POINT (-8.29428 51.85315)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ports_gcoder = (geocode_cities(ports)\n",
    "                .where(ports[0], scope='England')\n",
    "                .where(ports[1], scope='France'))\n",
    "ports_gdf = ports_gcoder.get_centroids()\n",
    "ports_gdf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.2 Markers on Map\n",
    "\n",
    "`Lets-Plot` API makes it easy to create an interactive basemap layer using either its own vector tiles service or \n",
    "by configuring a 3-rd party Z-X-Y raster tile providers.\n",
    "\n",
    "In this notebook we will use beautifull *CARTO Antique* raster tiles by [CARTO](https://carto.com/attribution/) as our basemap."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-27T17:14:17.547649Z",
     "iopub.status.busy": "2026-01-27T17:14:17.547522Z",
     "iopub.status.idle": "2026-01-27T17:14:17.549659Z",
     "shell.execute_reply": "2026-01-27T17:14:17.549331Z"
    }
   },
   "outputs": [],
   "source": [
    "from lets_plot import tilesets\n",
    "\n",
    "LetsPlot.set(tilesets.CARTO_ANTIQUE_HIRES)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-27T17:14:17.550437Z",
     "iopub.status.busy": "2026-01-27T17:14:17.550321Z",
     "iopub.status.idle": "2026-01-27T17:14:17.556281Z",
     "shell.execute_reply": "2026-01-27T17:14:17.555977Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"Ks9yUS\" ></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "   \n",
       "   (function() {\n",
       "   // ----------\n",
       "   \n",
       "   const forceImmediateRender = false;\n",
       "   const responsive = false;\n",
       "   \n",
       "   let sizing = {\n",
       "       width_mode: \"MIN\",\n",
       "       height_mode: \"SCALED\",\n",
       "       width: null, \n",
       "       height: null \n",
       "   };\n",
       "   \n",
       "   const preferredWidth = document.body.dataset.letsPlotPreferredWidth;\n",
       "   if (preferredWidth !== undefined) {\n",
       "       sizing = {\n",
       "           width_mode: 'FIXED',\n",
       "           height_mode: 'SCALED',\n",
       "           width: parseFloat(preferredWidth)\n",
       "       };\n",
       "   }\n",
       "   \n",
       "   const containerDiv = document.getElementById(\"Ks9yUS\");\n",
       "   let fig = null;\n",
       "   \n",
       "   function renderPlot() {\n",
       "       if (fig === null) {\n",
       "           const plotSpec = {\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"ggsize\":{\n",
       "\"width\":800.0,\n",
       "\"height\":350.0\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"geom\":\"livemap\",\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"tiles\":{\n",
       "\"kind\":\"raster_zxy\",\n",
       "\"url\":\"https://cartocdn_[abc].global.ssl.fastly.net/base-antique/{z}/{x}/{y}@2x.png\",\n",
       "\"attribution\":\"<a href=\\\"https://lets-plot.org\\\">© Lets-Plot</a>, map data: <a href=\\\"https://www.openstreetmap.org/copyright\\\">© OpenStreetMap contributors</a> <a href=\\\"https://carto.com/attributions#basemaps\\\">© CARTO</a>, <a href=\\\"https://carto.com/attributions\\\">© CARTO</a>\",\n",
       "\"min_zoom\":1.0,\n",
       "\"max_zoom\":20.0\n",
       "},\n",
       "\"geocoding\":{\n",
       "\"url\":\"https://geo2.datalore.jetbrains.com/map_data/geocoding\"\n",
       "},\n",
       "\"data\":{\n",
       "}\n",
       "},{\n",
       "\"geom\":\"point\",\n",
       "\"mapping\":{\n",
       "\"x\":\"lon\",\n",
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       "},\n",
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       "},\n",
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       "\"city\":[\"Southampton\",\"Cherbourg\",\"Cobh\"],\n",
       "\"found name\":[\"Southampton\",\"Cherbourg\",\"Cobh\"],\n",
       "\"geometry\":[\"{\\\"type\\\": \\\"Point\\\", \\\"coordinates\\\": [-1.40253666522018, 50.9183686226606]}\",\"{\\\"type\\\": \\\"Point\\\", \\\"coordinates\\\": [-1.60901494773099, 49.6272752434015]}\",\"{\\\"type\\\": \\\"Point\\\", \\\"coordinates\\\": [-8.29427875578403, 51.8531472980976]}\"]\n",
       "},\n",
       "\"size\":7.0,\n",
       "\"shape\":21.0,\n",
       "\"color\":\"black\",\n",
       "\"fill\":\"yellow\",\n",
       "\"map_data_meta\":{\n",
       "\"geodataframe\":{\n",
       "\"geometry\":\"geometry\"\n",
       "}\n",
       "},\n",
       "\"data\":{\n",
       "\"lon\":[-1.40253666522018,-1.60901494773099,-8.29427875578403],\n",
       "\"lat\":[50.9183686226606,49.6272752434015,51.8531472980976],\n",
       "\"__geo_id__\":[0,1,2]\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[],\n",
       "\"spec_id\":\"2\"\n",
       "};\n",
       "           window.letsPlotCall(function() { fig = LetsPlot.buildPlotFromProcessedSpecs(plotSpec, containerDiv, sizing); });\n",
       "       } else {\n",
       "           fig.updateView({});\n",
       "       }\n",
       "   }\n",
       "   \n",
       "   const renderImmediately = \n",
       "       forceImmediateRender || (\n",
       "           sizing.width_mode === 'FIXED' && \n",
       "           (sizing.height_mode === 'FIXED' || sizing.height_mode === 'SCALED')\n",
       "       );\n",
       "   \n",
       "   if (renderImmediately) {\n",
       "       renderPlot();\n",
       "   }\n",
       "   \n",
       "   if (!renderImmediately || responsive) {\n",
       "       // Set up observer for initial sizing or continuous monitoring\n",
       "       var observer = new ResizeObserver(function(entries) {\n",
       "           for (let entry of entries) {\n",
       "               if (entry.contentBoxSize && \n",
       "                   entry.contentBoxSize[0].inlineSize > 0) {\n",
       "                   if (!responsive && observer) {\n",
       "                       observer.disconnect();\n",
       "                       observer = null;\n",
       "                   }\n",
       "                   renderPlot();\n",
       "                   if (!responsive) {\n",
       "                       break;\n",
       "                   }\n",
       "               }\n",
       "           }\n",
       "       });\n",
       "       \n",
       "       observer.observe(containerDiv);\n",
       "   }\n",
       "   \n",
       "   // ----------\n",
       "   })();\n",
       "   \n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x7cebd9e94490>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "basemap = ggplot() + geom_livemap() + ggsize(800, 350)\n",
    "\n",
    "\n",
    "port_markers = geom_point(\n",
    "                   map=ports_gdf, \n",
    "                   size=7, \n",
    "                   shape=21, \n",
    "                   color=\"black\", \n",
    "                   fill=\"yellow\")\n",
    "\n",
    "basemap + port_markers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. The \"Titanic's site\" Marker"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-27T17:14:17.557054Z",
     "iopub.status.busy": "2026-01-27T17:14:17.556937Z",
     "iopub.status.idle": "2026-01-27T17:14:17.562439Z",
     "shell.execute_reply": "2026-01-27T17:14:17.562092Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"Dp2lCT\" ></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "   \n",
       "   (function() {\n",
       "   // ----------\n",
       "   \n",
       "   const forceImmediateRender = false;\n",
       "   const responsive = false;\n",
       "   \n",
       "   let sizing = {\n",
       "       width_mode: \"MIN\",\n",
       "       height_mode: \"SCALED\",\n",
       "       width: null, \n",
       "       height: null \n",
       "   };\n",
       "   \n",
       "   const preferredWidth = document.body.dataset.letsPlotPreferredWidth;\n",
       "   if (preferredWidth !== undefined) {\n",
       "       sizing = {\n",
       "           width_mode: 'FIXED',\n",
       "           height_mode: 'SCALED',\n",
       "           width: parseFloat(preferredWidth)\n",
       "       };\n",
       "   }\n",
       "   \n",
       "   const containerDiv = document.getElementById(\"Dp2lCT\");\n",
       "   let fig = null;\n",
       "   \n",
       "   function renderPlot() {\n",
       "       if (fig === null) {\n",
       "           const plotSpec = {\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"ggsize\":{\n",
       "\"width\":800.0,\n",
       "\"height\":350.0\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"geom\":\"livemap\",\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"tiles\":{\n",
       "\"kind\":\"raster_zxy\",\n",
       "\"url\":\"https://cartocdn_[abc].global.ssl.fastly.net/base-antique/{z}/{x}/{y}@2x.png\",\n",
       "\"attribution\":\"<a href=\\\"https://lets-plot.org\\\">© Lets-Plot</a>, map data: <a href=\\\"https://www.openstreetmap.org/copyright\\\">© OpenStreetMap contributors</a> <a href=\\\"https://carto.com/attributions#basemaps\\\">© CARTO</a>, <a href=\\\"https://carto.com/attributions\\\">© CARTO</a>\",\n",
       "\"min_zoom\":1.0,\n",
       "\"max_zoom\":20.0\n",
       "},\n",
       "\"geocoding\":{\n",
       "\"url\":\"https://geo2.datalore.jetbrains.com/map_data/geocoding\"\n",
       "},\n",
       "\"data\":{\n",
       "}\n",
       "},{\n",
       "\"geom\":\"point\",\n",
       "\"mapping\":{\n",
       "\"x\":\"lon\",\n",
       "\"y\":\"lat\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"map\":{\n",
       "\"city\":[\"Southampton\",\"Cherbourg\",\"Cobh\"],\n",
       "\"found name\":[\"Southampton\",\"Cherbourg\",\"Cobh\"],\n",
       "\"geometry\":[\"{\\\"type\\\": \\\"Point\\\", \\\"coordinates\\\": [-1.40253666522018, 50.9183686226606]}\",\"{\\\"type\\\": \\\"Point\\\", \\\"coordinates\\\": [-1.60901494773099, 49.6272752434015]}\",\"{\\\"type\\\": \\\"Point\\\", \\\"coordinates\\\": [-8.29427875578403, 51.8531472980976]}\"]\n",
       "},\n",
       "\"size\":7.0,\n",
       "\"shape\":21.0,\n",
       "\"color\":\"black\",\n",
       "\"fill\":\"yellow\",\n",
       "\"map_data_meta\":{\n",
       "\"geodataframe\":{\n",
       "\"geometry\":\"geometry\"\n",
       "}\n",
       "},\n",
       "\"data\":{\n",
       "\"lon\":[-1.40253666522018,-1.60901494773099,-8.29427875578403],\n",
       "\"lat\":[50.9183686226606,49.6272752434015,51.8531472980976],\n",
       "\"__geo_id__\":[0,1,2]\n",
       "}\n",
       "},{\n",
       "\"geom\":\"point\",\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"x\":-38.056641,\n",
       "\"y\":46.920255,\n",
       "\"size\":10.0,\n",
       "\"shape\":9.0,\n",
       "\"color\":\"red\",\n",
       "\"data\":{\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[],\n",
       "\"spec_id\":\"3\"\n",
       "};\n",
       "           window.letsPlotCall(function() { fig = LetsPlot.buildPlotFromProcessedSpecs(plotSpec, containerDiv, sizing); });\n",
       "       } else {\n",
       "           fig.updateView({});\n",
       "       }\n",
       "   }\n",
       "   \n",
       "   const renderImmediately = \n",
       "       forceImmediateRender || (\n",
       "           sizing.width_mode === 'FIXED' && \n",
       "           (sizing.height_mode === 'FIXED' || sizing.height_mode === 'SCALED')\n",
       "       );\n",
       "   \n",
       "   if (renderImmediately) {\n",
       "       renderPlot();\n",
       "   }\n",
       "   \n",
       "   if (!renderImmediately || responsive) {\n",
       "       // Set up observer for initial sizing or continuous monitoring\n",
       "       var observer = new ResizeObserver(function(entries) {\n",
       "           for (let entry of entries) {\n",
       "               if (entry.contentBoxSize && \n",
       "                   entry.contentBoxSize[0].inlineSize > 0) {\n",
       "                   if (!responsive && observer) {\n",
       "                       observer.disconnect();\n",
       "                       observer = null;\n",
       "                   }\n",
       "                   renderPlot();\n",
       "                   if (!responsive) {\n",
       "                       break;\n",
       "                   }\n",
       "               }\n",
       "           }\n",
       "       });\n",
       "       \n",
       "       observer.observe(containerDiv);\n",
       "   }\n",
       "   \n",
       "   // ----------\n",
       "   })();\n",
       "   \n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x7cebd9e94c40>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from shapely.geometry import Point, LineString\n",
    "titanic_site = Point(-38.056641, 46.920255)\n",
    "\n",
    "titanic_site_marker = geom_point(x=titanic_site.x, y = titanic_site.y, size=10, shape=9, color='red')\n",
    "\n",
    "basemap + port_markers + titanic_site_marker"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. The New York City Marker\n",
    "\n",
    "New York City was the Titanic's destination."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-27T17:14:17.563564Z",
     "iopub.status.busy": "2026-01-27T17:14:17.563445Z",
     "iopub.status.idle": "2026-01-27T17:14:17.981148Z",
     "shell.execute_reply": "2026-01-27T17:14:17.980794Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"Yfanel\" ></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
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       "   // ----------\n",
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       "   let sizing = {\n",
       "       width_mode: \"MIN\",\n",
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       "\"kind\":\"plot\",\n",
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       "\"tiles\":{\n",
       "\"kind\":\"raster_zxy\",\n",
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       "\"attribution\":\"<a href=\\\"https://lets-plot.org\\\">© Lets-Plot</a>, map data: <a href=\\\"https://www.openstreetmap.org/copyright\\\">© OpenStreetMap contributors</a> <a href=\\\"https://carto.com/attributions#basemaps\\\">© CARTO</a>, <a href=\\\"https://carto.com/attributions\\\">© CARTO</a>\",\n",
       "\"min_zoom\":1.0,\n",
       "\"max_zoom\":20.0\n",
       "},\n",
       "\"geocoding\":{\n",
       "\"url\":\"https://geo2.datalore.jetbrains.com/map_data/geocoding\"\n",
       "},\n",
       "\"data\":{\n",
       "}\n",
       "},{\n",
       "\"geom\":\"point\",\n",
       "\"mapping\":{\n",
       "\"x\":\"lon\",\n",
       "\"y\":\"lat\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
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       "<lets_plot.plot.core.PlotSpec at 0x7cebd9e520e0>"
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     },
     "execution_count": 11,
     "metadata": {},
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    }
   ],
   "source": [
    "NYC = geocode_cities(['New York']).get_centroids().geometry[0]\n",
    "NYC_marker = geom_point(x=NYC.x, y=NYC.y, size=7, shape=21, color='black', fill='white')\n",
    "\n",
    "(basemap + \n",
    " port_markers +\n",
    " titanic_site_marker +\n",
    " NYC_marker\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Connecting Markers on Map\n",
    "\n",
    "To connect markers on the map we will create a `LineString` object (from `Shaply` package)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "execution": {
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     "shell.execute_reply": "2026-01-27T17:14:17.985656Z"
    }
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   "source": [
    "from geopandas import GeoSeries\n",
    "from geopandas import GeoDataFrame\n",
    "\n",
    "# Points of embarkation (GeoSeries).\n",
    "port_points = ports_gdf.geometry\n",
    "path_points = pd.concat([port_points, GeoSeries([titanic_site, NYC], crs=ports_gdf.crs)], ignore_index=True)\n",
    "\n",
    "# Create a new GeoDataFrame containing a `LineString` geometry.\n",
    "path_gdf = GeoDataFrame(\n",
    "    dict(geometry=[ LineString(path_points) ])\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
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     "shell.execute_reply": "2026-01-27T17:14:17.993382Z"
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   "source": [
    "# Add \"path\" to the map.\n",
    "titanic_path = geom_path(\n",
    "    map=path_gdf, \n",
    "    color='dark-blue', \n",
    "    linetype='dotted', size=1.2)\n",
    "\n",
    "(basemap +\n",
    " titanic_path +\n",
    " port_markers +\n",
    " titanic_site_marker +\n",
    " NYC_marker\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6. Pie-chart Markers on Map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 6.1 Travellers Survival Rates, Now with Pie"
   ]
  },
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       "\"Port\":[\"Southampton\",\"Cobh\",\"Cherbourg\",\"Cherbourg\",\"Southampton\",\"Cobh\"],\n",
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     },
     "execution_count": 14,
     "metadata": {},
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    }
   ],
   "source": [
    "pies = (ggplot(df) +\n",
    "        geom_pie(\n",
    "            aes(x='Port', y=\"..sum..\", fill=as_discrete('Survived'), size=\"..sum..\"), \n",
    "            labels=layer_labels()\n",
    "                             .line('@{..count..}')\n",
    "                             .line('(@{..prop..})').format('@{..prop..}', '.0%'),\n",
    "            tooltips=layer_tooltips().title(\"@Port (@{..sum..})\"),\n",
    "            stroke=1.5, \n",
    "            hole=0.5) +\n",
    "        scale_fill_manual(values=[c_lost, c_surv], labels=['no', 'yes']) +\n",
    "        scale_x_discrete(limits=['Cobh', 'Cherbourg', 'Southampton'], expand=[0, 0.3]) +\n",
    "        scale_size(range=[3, 10], guide=\"none\") +\n",
    "        ylim(0, 800) +\n",
    "        labs(x=\"\", y=\"Travellers count\") + \n",
    "        ggtitle(\"Survival by the Port of Embarkation\")\n",
    ")\n",
    "\n",
    "pies + ggsize(800, 300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 6.2 Spatial Pies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
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     "iopub.status.idle": "2026-01-27T17:14:18.034198Z",
     "shell.execute_reply": "2026-01-27T17:14:18.033952Z"
    }
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   "outputs": [
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      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x7cebd9ebba30>"
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     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spatial_pies = (\n",
    "        geom_pie(\n",
    "            aes(x='Port', fill=as_discrete('Survived'), size=\"..sum..\"), \n",
    "            data=df,\n",
    "            map=ports_gdf, \n",
    "            map_join=['Port','city'],\n",
    "            tooltips=layer_tooltips()\n",
    "                     .title(\"@Port (@{..sum..})\")\n",
    "                     .line('@{..count..} (@{..prop..})')\n",
    "                     .format('@{..prop..}', '.0%'),\n",
    "            stroke=1.5, \n",
    "            hole=0.5,\n",
    "            color='white') +\n",
    "        scale_fill_manual(values=[c_lost, c_surv], labels=['lost', 'survived']) +\n",
    "        scale_size(range=[3, 10], guide=\"none\") +\n",
    "        theme(legend_position=[0.5, 1], \n",
    "              legend_justification=[0.5, 1], \n",
    "              legend_direction='horizontal',\n",
    "              legend_title=element_blank())\n",
    ")                \n",
    "\n",
    "(basemap + \n",
    " titanic_path +\n",
    " spatial_pies +\n",
    " titanic_site_marker +\n",
    " NYC_marker\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 6.3 Adjusting the Map Zoom Level and Position"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-27T17:14:18.035218Z",
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     "iopub.status.idle": "2026-01-27T17:14:18.056992Z",
     "shell.execute_reply": "2026-01-27T17:14:18.056743Z"
    }
   },
   "outputs": [
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       "\"geometry\":[\"{\\\"type\\\": \\\"Point\\\", \\\"coordinates\\\": [-1.40253666522018, 50.9183686226606]}\",\"{\\\"type\\\": \\\"Point\\\", \\\"coordinates\\\": [-1.60901494773099, 49.6272752434015]}\",\"{\\\"type\\\": \\\"Point\\\", \\\"coordinates\\\": [-8.29427875578403, 51.8531472980976]}\"]\n",
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       "\"color\":\"white\",\n",
       "\"map_data_meta\":{\n",
       "\"geodataframe\":{\n",
       "\"geometry\":\"geometry\"\n",
       "}\n",
       "}\n",
       "},{\n",
       "\"geom\":\"point\",\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"x\":-38.056641,\n",
       "\"y\":46.920255,\n",
       "\"size\":10.0,\n",
       "\"shape\":9.0,\n",
       "\"color\":\"red\",\n",
       "\"data\":{\n",
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       "},{\n",
       "\"geom\":\"point\",\n",
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       "\"x\":-73.8673749469137,\n",
       "\"y\":40.6847005337477,\n",
       "\"size\":7.0,\n",
       "\"shape\":21.0,\n",
       "\"color\":\"black\",\n",
       "\"fill\":\"white\",\n",
       "\"data\":{\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[],\n",
       "\"spec_id\":\"8\"\n",
       "};\n",
       "           window.letsPlotCall(function() { fig = LetsPlot.buildPlotFromProcessedSpecs(plotSpec, containerDiv, sizing); });\n",
       "       } else {\n",
       "           fig.updateView({});\n",
       "       }\n",
       "   }\n",
       "   \n",
       "   const renderImmediately = \n",
       "       forceImmediateRender || (\n",
       "           sizing.width_mode === 'FIXED' && \n",
       "           (sizing.height_mode === 'FIXED' || sizing.height_mode === 'SCALED')\n",
       "       );\n",
       "   \n",
       "   if (renderImmediately) {\n",
       "       renderPlot();\n",
       "   }\n",
       "   \n",
       "   if (!renderImmediately || responsive) {\n",
       "       // Set up observer for initial sizing or continuous monitoring\n",
       "       var observer = new ResizeObserver(function(entries) {\n",
       "           for (let entry of entries) {\n",
       "               if (entry.contentBoxSize && \n",
       "                   entry.contentBoxSize[0].inlineSize > 0) {\n",
       "                   if (!responsive && observer) {\n",
       "                       observer.disconnect();\n",
       "                       observer = null;\n",
       "                   }\n",
       "                   renderPlot();\n",
       "                   if (!responsive) {\n",
       "                       break;\n",
       "                   }\n",
       "               }\n",
       "           }\n",
       "       });\n",
       "       \n",
       "       observer.observe(containerDiv);\n",
       "   }\n",
       "   \n",
       "   // ----------\n",
       "   })();\n",
       "   \n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x7cebd9ef9fc0>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(ggplot() + ggsize(900, 600) + ggtitle(\"Titanic Survival Rate by Port of Embarkation\") +\n",
    "     geom_livemap(zoom=6, location=[-8.29, 51.85, -1.61, 49.63]) + \n",
    "     titanic_path +\n",
    "     port_markers +\n",
    "     spatial_pies +\n",
    "     titanic_site_marker +\n",
    "     NYC_marker +\n",
    "     theme(text=element_text(family=\"Garamond\"),\n",
    "           plot_title=element_text(size=30))\n",
    ")"
   ]
  }
 ],
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