{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "558d28c0",
   "metadata": {},
   "source": [
    "# Handling an overplotting on a scatter plot: `geom_count()`/`stat_sum()`\n",
    "\n",
    "The `geom_count()` counts the number of observations at each location. \n",
    "\n",
    "Computed variables:\n",
    "\n",
    "- `..n..` - number of observations at location\n",
    "- `..prop..` - value in range 0..1 : share of observations at location\n",
    "- `..proppct..` - value in range 0..100 : % of observations at location"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "da3d73f3",
   "metadata": {
    "execution": {
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     "shell.execute_reply": "2025-11-05T13:44:48.046129Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "from lets_plot import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "08103843",
   "metadata": {
    "execution": {
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     "iopub.status.idle": "2025-11-05T13:44:48.049220Z",
     "shell.execute_reply": "2025-11-05T13:44:48.048987Z"
    }
   },
   "outputs": [
    {
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       "            "
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     "output_type": "display_data"
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   ],
   "source": [
    "LetsPlot.setup_html() "
   ]
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    "execution": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>manufacturer</th>\n",
       "      <th>model</th>\n",
       "      <th>displ</th>\n",
       "      <th>year</th>\n",
       "      <th>cyl</th>\n",
       "      <th>trans</th>\n",
       "      <th>drv</th>\n",
       "      <th>cty</th>\n",
       "      <th>hwy</th>\n",
       "      <th>fl</th>\n",
       "      <th>class</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>audi</td>\n",
       "      <td>a4</td>\n",
       "      <td>1.8</td>\n",
       "      <td>1999</td>\n",
       "      <td>4</td>\n",
       "      <td>auto(l5)</td>\n",
       "      <td>f</td>\n",
       "      <td>18</td>\n",
       "      <td>29</td>\n",
       "      <td>p</td>\n",
       "      <td>compact</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>audi</td>\n",
       "      <td>a4</td>\n",
       "      <td>1.8</td>\n",
       "      <td>1999</td>\n",
       "      <td>4</td>\n",
       "      <td>manual(m5)</td>\n",
       "      <td>f</td>\n",
       "      <td>21</td>\n",
       "      <td>29</td>\n",
       "      <td>p</td>\n",
       "      <td>compact</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>audi</td>\n",
       "      <td>a4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2008</td>\n",
       "      <td>4</td>\n",
       "      <td>manual(m6)</td>\n",
       "      <td>f</td>\n",
       "      <td>20</td>\n",
       "      <td>31</td>\n",
       "      <td>p</td>\n",
       "      <td>compact</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>audi</td>\n",
       "      <td>a4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2008</td>\n",
       "      <td>4</td>\n",
       "      <td>auto(av)</td>\n",
       "      <td>f</td>\n",
       "      <td>21</td>\n",
       "      <td>30</td>\n",
       "      <td>p</td>\n",
       "      <td>compact</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>audi</td>\n",
       "      <td>a4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>1999</td>\n",
       "      <td>6</td>\n",
       "      <td>auto(l5)</td>\n",
       "      <td>f</td>\n",
       "      <td>16</td>\n",
       "      <td>26</td>\n",
       "      <td>p</td>\n",
       "      <td>compact</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0 manufacturer model  displ  year  cyl       trans drv  cty  hwy  \\\n",
       "0           1         audi    a4    1.8  1999    4    auto(l5)   f   18   29   \n",
       "1           2         audi    a4    1.8  1999    4  manual(m5)   f   21   29   \n",
       "2           3         audi    a4    2.0  2008    4  manual(m6)   f   20   31   \n",
       "3           4         audi    a4    2.0  2008    4    auto(av)   f   21   30   \n",
       "4           5         audi    a4    2.8  1999    6    auto(l5)   f   16   26   \n",
       "\n",
       "  fl    class  \n",
       "0  p  compact  \n",
       "1  p  compact  \n",
       "2  p  compact  \n",
       "3  p  compact  \n",
       "4  p  compact  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mpg_df = pd.read_csv (\"https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/mpg.csv\")\n",
    "mpg_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "78db0a6b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-11-05T13:44:48.132683Z",
     "iopub.status.busy": "2025-11-05T13:44:48.132613Z",
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     "shell.execute_reply": "2025-11-05T13:44:48.134657Z"
    }
   },
   "outputs": [],
   "source": [
    "p = ggplot(mpg_df, aes(x=as_discrete('class', order=1), y=as_discrete('drv', order=1)))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fafaa792",
   "metadata": {},
   "source": [
    "#### 1. Plot an Observation Count by Location"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9bf746ef",
   "metadata": {
    "execution": {
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     "shell.execute_reply": "2025-11-05T13:44:48.167775Z"
    }
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   "outputs": [
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     "execution_count": 5,
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   ],
   "source": [
    "p + geom_count()"
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     },
     "execution_count": 6,
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   ],
   "source": [
    "p + stat_sum()"
   ]
  },
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    "#### 2. Plot an Observations Share by Location "
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   "source": [
    "#### 3. Plot an Observations Share by Drivetrain Type within each Vehicle \"class\"\n",
    "\n",
    "Note: group by \"class\"."
   ]
  },
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