{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-23T10:36:04.757121Z",
     "iopub.status.busy": "2024-08-23T10:36:04.757038Z",
     "iopub.status.idle": "2024-08-23T10:36:05.083704Z",
     "shell.execute_reply": "2024-08-23T10:36:05.083396Z"
    }
   },
   "outputs": [],
   "source": [
    "from lets_plot import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-23T10:36:05.085338Z",
     "iopub.status.busy": "2024-08-23T10:36:05.085188Z",
     "iopub.status.idle": "2024-08-23T10:36:05.087313Z",
     "shell.execute_reply": "2024-08-23T10:36:05.087138Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <div id=\"GnfGDR\"></div>\n",
       "            <script type=\"text/javascript\" data-lets-plot-script=\"library\">\n",
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       "                    window.letsPlotCallQueue = [];\n",
       "                }; \n",
       "                window.letsPlotCall = function(f) {\n",
       "                    window.letsPlotCallQueue.push(f);\n",
       "                };\n",
       "                (function() {\n",
       "                    var script = document.createElement(\"script\");\n",
       "                    script.type = \"text/javascript\";\n",
       "                    script.src = \"https://cdn.jsdelivr.net/gh/JetBrains/lets-plot@v4.4.1/js-package/distr/lets-plot.min.js\";\n",
       "                    script.onload = function() {\n",
       "                        window.letsPlotCall = function(f) {f();};\n",
       "                        window.letsPlotCallQueue.forEach(function(f) {f();});\n",
       "                        window.letsPlotCallQueue = [];\n",
       "                        \n",
       "                    };\n",
       "                    script.onerror = function(event) {\n",
       "                        window.letsPlotCall = function(f) {};    // noop\n",
       "                        window.letsPlotCallQueue = [];\n",
       "                        var div = document.createElement(\"div\");\n",
       "                        div.style.color = 'darkred';\n",
       "                        div.textContent = 'Error loading Lets-Plot JS';\n",
       "                        document.getElementById(\"GnfGDR\").appendChild(div);\n",
       "                    };\n",
       "                    var e = document.getElementById(\"GnfGDR\");\n",
       "                    e.appendChild(script);\n",
       "                })()\n",
       "            </script>\n",
       "            "
      ]
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     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "LetsPlot.setup_html()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-23T10:36:05.100804Z",
     "iopub.status.busy": "2024-08-23T10:36:05.100692Z",
     "iopub.status.idle": "2024-08-23T10:36:05.106168Z",
     "shell.execute_reply": "2024-08-23T10:36:05.105980Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(400, 2)\n"
     ]
    },
    {
     "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>cond</th>\n",
       "      <th>rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A</td>\n",
       "      <td>-1.085631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A</td>\n",
       "      <td>0.997345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>A</td>\n",
       "      <td>0.282978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>A</td>\n",
       "      <td>-1.506295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>A</td>\n",
       "      <td>-0.578600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  cond    rating\n",
       "0    A -1.085631\n",
       "1    A  0.997345\n",
       "2    A  0.282978\n",
       "3    A -1.506295\n",
       "4    A -0.578600"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# This example was found at: www.cookbook-r.com/Graphs/Plotting_distributions_(ggplot2)\n",
    "def get_data():\n",
    "    import numpy as np\n",
    "    import pandas as pd\n",
    "\n",
    "    np.random.seed(123)\n",
    "\n",
    "    return pd.DataFrame(dict(\n",
    "        cond=np.repeat([\"A\", \"B\"], 200),\n",
    "        rating=np.concatenate((np.random.normal(0, 1, 200), np.random.normal(.8, 1, 200)))\n",
    "    ))\n",
    "\n",
    "df = get_data()\n",
    "print(df.shape)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-23T10:36:05.107232Z",
     "iopub.status.busy": "2024-08-23T10:36:05.107159Z",
     "iopub.status.idle": "2024-08-23T10:36:05.139276Z",
     "shell.execute_reply": "2024-08-23T10:36:05.138934Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"8nW8Qm\"></div>\n",
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       "},{\n",
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       "\"column\":\"rating\"\n",
       "}]\n",
       "},\n",
       "\"ggsize\":{\n",
       "\"width\":500.0,\n",
       "\"height\":250.0\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"geom\":\"histogram\",\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"binwidth\":0.5,\n",
       "\"data\":{\n",
       "\"..count..\":[1.0,1.0,3.0,8.0,22.0,37.0,67.0,73.0,68.0,53.0,41.0,17.0,7.0,1.0,1.0,0.0],\n",
       "\"rating\":[-3.3310550079193124,-2.8310550079193124,-2.3310550079193124,-1.8310550079193124,-1.3310550079193124,-0.8310550079193124,-0.3310550079193124,0.16894499208068758,0.6689449920806876,1.1689449920806876,1.6689449920806876,2.1689449920806876,2.6689449920806876,3.1689449920806876,3.6689449920806876,4.168944992080688]\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"8nW8Qm\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x7043e9a862c0>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Basic histogram of \"rating\"\n",
    "p = ggplot(df, aes(x=\"rating\")) + ggsize(500, 250)\n",
    "p + geom_histogram(binwidth=.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-23T10:36:05.140652Z",
     "iopub.status.busy": "2024-08-23T10:36:05.140571Z",
     "iopub.status.idle": "2024-08-23T10:36:05.154259Z",
     "shell.execute_reply": "2024-08-23T10:36:05.154082Z"
    }
   },
   "outputs": [
    {
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       "\"y\":\"..density..\"\n",
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       "\"data_meta\":{\n",
       "},\n",
       "\"binwidth\":0.5,\n",
       "\"colour\":\"black\",\n",
       "\"fill\":\"white\",\n",
       "\"data\":{\n",
       "\"..density..\":[0.005,0.005,0.015,0.04,0.11,0.185,0.335,0.365,0.34,0.265,0.205,0.085,0.035,0.005,0.005,0.0],\n",
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       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"4CP8A7\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x7043e87cee90>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Histogram overlaid with kernel density curve\n",
    "#  - histogram with density instead of count on y-axis\n",
    "#  - overlay with transparent density plot\n",
    "p + \\\n",
    "    geom_histogram(aes(y='..density..'), binwidth=.5, colour=\"black\", fill=\"white\") + \\\n",
    "    geom_density(alpha=.2, color=\"#de2d26\", fill=\"#ff6666\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-23T10:36:05.155425Z",
     "iopub.status.busy": "2024-08-23T10:36:05.155352Z",
     "iopub.status.idle": "2024-08-23T10:36:05.158410Z",
     "shell.execute_reply": "2024-08-23T10:36:05.158241Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"wnvhaz\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
       "           var plotSpec={\n",
       "\"data\":{\n",
       "},\n",
       "\"mapping\":{\n",
       "\"x\":\"rating\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "\"series_annotations\":[{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"cond\"\n",
       "},{\n",
       "\"type\":\"float\",\n",
       "\"column\":\"rating\"\n",
       "}]\n",
       "},\n",
       "\"ggsize\":{\n",
       "\"width\":500.0,\n",
       "\"height\":250.0\n",
       "},\n",
       "\"kind\":\"plot\",\n",
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       "\"layers\":[{\n",
       "\"geom\":\"histogram\",\n",
       "\"mapping\":{\n",
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       "\"data_meta\":{\n",
       "},\n",
       "\"binwidth\":0.5,\n",
       "\"colour\":\"black\",\n",
       "\"fill\":\"white\",\n",
       "\"data\":{\n",
       "\"..count..\":[1.0,1.0,3.0,8.0,22.0,37.0,67.0,73.0,68.0,53.0,41.0,17.0,7.0,1.0,1.0,0.0],\n",
       "\"rating\":[-3.3310550079193124,-2.8310550079193124,-2.3310550079193124,-1.8310550079193124,-1.3310550079193124,-0.8310550079193124,-0.3310550079193124,0.16894499208068758,0.6689449920806876,1.1689449920806876,1.6689449920806876,2.1689449920806876,2.6689449920806876,3.1689449920806876,3.6689449920806876,4.168944992080688]\n",
       "}\n",
       "},{\n",
       "\"geom\":\"vline\",\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"xintercept\":0.3447125273333338,\n",
       "\"color\":\"red\",\n",
       "\"linetype\":\"dashed\",\n",
       "\"size\":1.0,\n",
       "\"data\":{\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"wnvhaz\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x7043e87cf850>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p + \\\n",
    "    geom_histogram(binwidth=.5, colour=\"black\", fill=\"white\") + \\\n",
    "    geom_vline(xintercept=df[\"rating\"].mean(), \\\n",
    "               color=\"red\", linetype='dashed', size=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Histogram and density plots with multiple groups"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-23T10:36:05.159416Z",
     "iopub.status.busy": "2024-08-23T10:36:05.159344Z",
     "iopub.status.idle": "2024-08-23T10:36:05.162549Z",
     "shell.execute_reply": "2024-08-23T10:36:05.162382Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"qzBXmQ\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
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       "\"kind\":\"plot\",\n",
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       "\"rating\":[-3.3310550079193124,-2.8310550079193124,-2.3310550079193124,-1.8310550079193124,-1.3310550079193124,-0.8310550079193124,-0.3310550079193124,0.16894499208068758,0.6689449920806876,1.1689449920806876,1.6689449920806876,2.1689449920806876,2.6689449920806876,3.1689449920806876,3.6689449920806876,4.168944992080688,-3.3310550079193124,-2.8310550079193124,-2.3310550079193124,-1.8310550079193124,-1.3310550079193124,-0.8310550079193124,-0.3310550079193124,0.16894499208068758,0.6689449920806876,1.1689449920806876,1.6689449920806876,2.1689449920806876,2.6689449920806876,3.1689449920806876,3.6689449920806876,4.168944992080688],\n",
       "\"cond\":[\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\"]\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"qzBXmQ\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x7043e87cf730>"
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     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p1 = ggplot(df, aes(x=\"rating\", fill=\"cond\")) + ggsize(500, 250)\n",
    "\n",
    "# Default histogram (stacked)\n",
    "p1 + geom_histogram(binwidth=.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-23T10:36:05.163475Z",
     "iopub.status.busy": "2024-08-23T10:36:05.163401Z",
     "iopub.status.idle": "2024-08-23T10:36:05.166334Z",
     "shell.execute_reply": "2024-08-23T10:36:05.166171Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"0DsNWE\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
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       "\"alpha\":0.7,\n",
       "\"data\":{\n",
       "\"..count..\":[1.0,1.0,3.0,8.0,17.0,26.0,39.0,41.0,23.0,20.0,14.0,6.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,11.0,28.0,32.0,45.0,33.0,27.0,11.0,6.0,1.0,1.0,0.0],\n",
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       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"0DsNWE\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x7043e9a86770>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Overlaid histograms\n",
    "p1 + geom_histogram(binwidth=.5, alpha=.7, position=\"identity\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-23T10:36:05.167233Z",
     "iopub.status.busy": "2024-08-23T10:36:05.167162Z",
     "iopub.status.idle": "2024-08-23T10:36:05.170368Z",
     "shell.execute_reply": "2024-08-23T10:36:05.170194Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"yNQ3Xq\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
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       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"yNQ3Xq\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x7043e87cfdf0>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Interleaved histograms\n",
    "p1 + geom_histogram(binwidth=.5, position=\"dodge\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-23T10:36:05.171305Z",
     "iopub.status.busy": "2024-08-23T10:36:05.171232Z",
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     "shell.execute_reply": "2024-08-23T10:36:05.187675Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"98gFuV\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
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       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"98gFuV\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x7043e87f4cd0>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Density plot\n",
    "p2 = ggplot(df, aes(x=\"rating\", color=\"cond\")) + ggsize(500, 250)\n",
    "p2 + geom_density()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-23T10:36:05.189001Z",
     "iopub.status.busy": "2024-08-23T10:36:05.188916Z",
     "iopub.status.idle": "2024-08-23T10:36:05.206855Z",
     "shell.execute_reply": "2024-08-23T10:36:05.206683Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"r4Za55\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
       "           var plotSpec={\n",
       "\"data\":{\n",
       "},\n",
       "\"mapping\":{\n",
       "\"x\":\"rating\",\n",
       "\"color\":\"cond\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "\"series_annotations\":[{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"cond\"\n",
       "},{\n",
       "\"type\":\"float\",\n",
       "\"column\":\"rating\"\n",
       "}]\n",
       "},\n",
       "\"ggsize\":{\n",
       "\"width\":500.0,\n",
       "\"height\":250.0\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"geom\":\"density\",\n",
       "\"mapping\":{\n",
       "\"fill\":\"cond\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"alpha\":0.7,\n",
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       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"r4Za55\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
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       "<lets_plot.plot.core.PlotSpec at 0x7043e87cfac0>"
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     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Density plot with semi-transparent fill\n",
    "p2 + geom_density(aes(fill=\"cond\"), alpha=.7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
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    "execution": {
     "iopub.execute_input": "2024-08-23T10:36:05.208172Z",
     "iopub.status.busy": "2024-08-23T10:36:05.208099Z",
     "iopub.status.idle": "2024-08-23T10:36:05.211716Z",
     "shell.execute_reply": "2024-08-23T10:36:05.211552Z"
    }
   },
   "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",
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       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cond</th>\n",
       "      <th>rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A</td>\n",
       "      <td>0.003787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>B</td>\n",
       "      <td>0.685638</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
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      "text/plain": [
       "  cond    rating\n",
       "0    A  0.003787\n",
       "1    B  0.685638"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Find the mean of each group\n",
    "cdf = df.groupby([\"cond\"], as_index=False).mean()\n",
    "cdf.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-23T10:36:05.212907Z",
     "iopub.status.busy": "2024-08-23T10:36:05.212830Z",
     "iopub.status.idle": "2024-08-23T10:36:05.216599Z",
     "shell.execute_reply": "2024-08-23T10:36:05.216434Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "   <div id=\"0oYfZT\"></div>\n",
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       "\"ggsize\":{\n",
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       "\"mapping\":{\n",
       "\"fill\":\"cond\"\n",
       "},\n",
       "\"position\":\"identity\",\n",
       "\"data_meta\":{\n",
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       "\"alpha\":0.5,\n",
       "\"size\":0.0,\n",
       "\"data\":{\n",
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       "},{\n",
       "\"geom\":\"vline\",\n",
       "\"data\":{\n",
       "\"cond\":[\"A\",\"B\"],\n",
       "\"rating\":[0.0037867557901067606,0.6856382988765608]\n",
       "},\n",
       "\"mapping\":{\n",
       "\"xintercept\":\"rating\",\n",
       "\"color\":\"cond\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "\"series_annotations\":[{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"cond\"\n",
       "},{\n",
       "\"type\":\"float\",\n",
       "\"column\":\"rating\"\n",
       "}]\n",
       "},\n",
       "\"linetype\":\"dashed\",\n",
       "\"size\":1.0\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"0oYfZT\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x7043e87f56c0>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Overlaid histograms with means\n",
    "p2 + \\\n",
    "    geom_histogram(aes(fill=\"cond\"), alpha=.5, position=\"identity\", size=0) + \\\n",
    "    geom_vline(data=cdf, \\\n",
    "               mapping=aes(xintercept=\"rating\",  color=\"cond\"), \\\n",
    "               linetype='dashed', size=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
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     "iopub.status.idle": "2024-08-23T10:36:05.221277Z",
     "shell.execute_reply": "2024-08-23T10:36:05.220990Z"
    }
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   "outputs": [
    {
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       "\"linetype\":\"dashed\",\n",
       "\"size\":1.0\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"pxE9h4\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
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       "       })();\n",
       "   </script>"
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       "<lets_plot.plot.core.PlotSpec at 0x7043e87f7820>"
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     "execution_count": 14,
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   ],
   "source": [
    "# Use frqpoly instead of histogram\n",
    "p2 + \\\n",
    "    geom_freqpoly(aes(fill=\"cond\")) + \\\n",
    "    geom_vline(data=cdf, \\\n",
    "               mapping=aes(xintercept=\"rating\",  color=\"cond\"), \\\n",
    "               linetype='dashed', size=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
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    "execution": {
     "iopub.execute_input": "2024-08-23T10:36:05.222436Z",
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     "shell.execute_reply": "2024-08-23T10:36:05.239590Z"
    }
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   "outputs": [
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       "}\n",
       "},{\n",
       "\"geom\":\"vline\",\n",
       "\"data\":{\n",
       "\"cond\":[\"A\",\"B\"],\n",
       "\"rating\":[0.0037867557901067606,0.6856382988765608]\n",
       "},\n",
       "\"mapping\":{\n",
       "\"xintercept\":\"rating\",\n",
       "\"color\":\"cond\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "\"series_annotations\":[{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"cond\"\n",
       "},{\n",
       "\"type\":\"float\",\n",
       "\"column\":\"rating\"\n",
       "}]\n",
       "},\n",
       "\"linetype\":\"dashed\",\n",
       "\"size\":1.0\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"FTe66A\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x7043e87f7e80>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Density plots with means\n",
    "p2 + \\\n",
    "    geom_density() + \\\n",
    "    geom_vline(data=cdf, \\\n",
    "               mapping=aes(xintercept=\"rating\", color=\"cond\"), \\\n",
    "               linetype='dashed', size=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Using facets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-23T10:36:05.240825Z",
     "iopub.status.busy": "2024-08-23T10:36:05.240750Z",
     "iopub.status.idle": "2024-08-23T10:36:05.244494Z",
     "shell.execute_reply": "2024-08-23T10:36:05.244234Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"7nj4cx\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
       "           var plotSpec={\n",
       "\"data\":{\n",
       "},\n",
       "\"mapping\":{\n",
       "\"x\":\"rating\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "\"series_annotations\":[{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"cond\"\n",
       "},{\n",
       "\"type\":\"float\",\n",
       "\"column\":\"rating\"\n",
       "}]\n",
       "},\n",
       "\"facet\":{\n",
       "\"name\":\"grid\",\n",
       "\"x\":\"cond\",\n",
       "\"x_order\":1.0,\n",
       "\"y_order\":1.0\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"geom\":\"histogram\",\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
       "\"series_annotations\":[]\n",
       "},\n",
       "\"binwidth\":0.5,\n",
       "\"colour\":\"black\",\n",
       "\"fill\":\"white\",\n",
       "\"data\":{\n",
       "\"..count..\":[1.0,1.0,3.0,8.0,17.0,26.0,39.0,41.0,23.0,20.0,14.0,6.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,11.0,28.0,32.0,45.0,33.0,27.0,11.0,6.0,1.0,1.0,0.0],\n",
       "\"rating\":[-3.3310550079193124,-2.8310550079193124,-2.3310550079193124,-1.8310550079193124,-1.3310550079193124,-0.8310550079193124,-0.3310550079193124,0.16894499208068758,0.6689449920806876,1.1689449920806876,1.6689449920806876,2.1689449920806876,2.6689449920806876,3.1689449920806876,3.6689449920806876,4.168944992080688,-3.3310550079193124,-2.8310550079193124,-2.3310550079193124,-1.8310550079193124,-1.3310550079193124,-0.8310550079193124,-0.3310550079193124,0.16894499208068758,0.6689449920806876,1.1689449920806876,1.6689449920806876,2.1689449920806876,2.6689449920806876,3.1689449920806876,3.6689449920806876,4.168944992080688],\n",
       "\"cond\":[\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\"]\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"7nj4cx\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x7043dd498f70>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ggplot(df, aes(x=\"rating\")) + \\\n",
    "    geom_histogram(binwidth=.5, colour=\"black\", fill=\"white\") + \\\n",
    "    facet_grid(\"cond\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-23T10:36:05.245339Z",
     "iopub.status.busy": "2024-08-23T10:36:05.245258Z",
     "iopub.status.idle": "2024-08-23T10:36:05.249062Z",
     "shell.execute_reply": "2024-08-23T10:36:05.248824Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"BJpuYH\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
       "           var plotSpec={\n",
       "\"data\":{\n",
       "},\n",
       "\"mapping\":{\n",
       "\"x\":\"rating\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "\"series_annotations\":[{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"cond\"\n",
       "},{\n",
       "\"type\":\"float\",\n",
       "\"column\":\"rating\"\n",
       "}]\n",
       "},\n",
       "\"facet\":{\n",
       "\"name\":\"grid\",\n",
       "\"y\":\"cond\",\n",
       "\"x_order\":1.0,\n",
       "\"y_order\":1.0\n",
       "},\n",
       "\"ggsize\":{\n",
       "\"width\":500.0,\n",
       "\"height\":250.0\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"geom\":\"histogram\",\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
       "\"series_annotations\":[]\n",
       "},\n",
       "\"binwidth\":0.5,\n",
       "\"colour\":\"black\",\n",
       "\"fill\":\"white\",\n",
       "\"data\":{\n",
       "\"..count..\":[1.0,1.0,3.0,8.0,17.0,26.0,39.0,41.0,23.0,20.0,14.0,6.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,11.0,28.0,32.0,45.0,33.0,27.0,11.0,6.0,1.0,1.0,0.0],\n",
       "\"rating\":[-3.3310550079193124,-2.8310550079193124,-2.3310550079193124,-1.8310550079193124,-1.3310550079193124,-0.8310550079193124,-0.3310550079193124,0.16894499208068758,0.6689449920806876,1.1689449920806876,1.6689449920806876,2.1689449920806876,2.6689449920806876,3.1689449920806876,3.6689449920806876,4.168944992080688,-3.3310550079193124,-2.8310550079193124,-2.3310550079193124,-1.8310550079193124,-1.3310550079193124,-0.8310550079193124,-0.3310550079193124,0.16894499208068758,0.6689449920806876,1.1689449920806876,1.6689449920806876,2.1689449920806876,2.6689449920806876,3.1689449920806876,3.6689449920806876,4.168944992080688],\n",
       "\"cond\":[\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"A\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\",\"B\"]\n",
       "}\n",
       "},{\n",
       "\"geom\":\"vline\",\n",
       "\"data\":{\n",
       "\"cond\":[\"A\",\"B\"],\n",
       "\"rating\":[0.0037867557901067606,0.6856382988765608]\n",
       "},\n",
       "\"mapping\":{\n",
       "\"xintercept\":\"rating\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "\"series_annotations\":[{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"cond\"\n",
       "},{\n",
       "\"type\":\"float\",\n",
       "\"column\":\"rating\"\n",
       "}]\n",
       "},\n",
       "\"linetype\":\"dashed\",\n",
       "\"size\":1.0,\n",
       "\"colour\":\"red\"\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"BJpuYH\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x7043dd499570>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# With mean lines, using 'cdat' computed earlier.\n",
    "ggplot(df, aes(x=\"rating\")) + \\\n",
    "    geom_histogram(binwidth=.5, colour=\"black\", fill=\"white\") + \\\n",
    "    geom_vline(data=cdf, \\\n",
    "               mapping=aes(xintercept=\"rating\"), \\\n",
    "               linetype='dashed', size=1, colour=\"red\") + \\\n",
    "    facet_grid(None, \"cond\") + \\\n",
    "    ggsize(500, 250)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Box plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-08-23T10:36:05.249986Z",
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   "outputs": [
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     "execution_count": 18,
     "metadata": {},
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   ],
   "source": [
    "# A basic box plot\n",
    "p3 = ggplot(df, aes(x=\"cond\", y=\"rating\")) + ggsize(400, 300)\n",
    "p3 + geom_boxplot()"
   ]
  },
  {
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   "execution_count": 19,
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    {
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       "\"..ymax..\":[2.5983039272693147,3.0007020992171283],\n",
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       "\"geom\":\"point\",\n",
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       "},\n",
       "\"data\":{\n",
       "\"..middle..\":[0.011580957065717804,0.6553115546827485],\n",
       "\"..lower..\":[-0.7161696106591872,0.03306101143371809],\n",
       "\"..upper..\":[0.7248166056833802,1.3796156973587816],\n",
       "\"..ymin..\":[-2.7985891054607244,-1.45153498598787],\n",
       "\"..ymax..\":[2.5983039272693147,3.0007020992171283],\n",
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       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"6akIqK\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
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       "<lets_plot.plot.core.PlotSpec at 0x7043e87f6950>"
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     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# A basic box with the conditions colored\n",
    "p3 + geom_boxplot(aes(fill=\"cond\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
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     "iopub.execute_input": "2024-08-23T10:36:05.258840Z",
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   "outputs": [
    {
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       "\"shape\":8.0,\n",
       "\"size\":6.0,\n",
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       "};\n",
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       "       })();\n",
       "   </script>"
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       "<lets_plot.plot.core.PlotSpec at 0x7043e9a86f50>"
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     },
     "execution_count": 20,
     "metadata": {},
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    }
   ],
   "source": [
    "# Style outliers\n",
    "p3 + geom_boxplot(outlier_color=\"red\", outlier_shape=8, outlier_size=1.5)"
   ]
  }
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