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    "# Stackable Position Adjustments"
   ]
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   "source": [
    "## Table of Contents\n",
    "\n",
    "1. [Stacking in Area Plots ](#default)\n",
    "\n",
    "2. [Stacking Order](#order)\n",
    "\n",
    "3. [Other Geometries](#other-geoms)\n",
    "\n",
    "4. [Parameter `vjust`](#vjust)\n",
    "\n",
    "5. [Parameter `mode`](#mode)\n",
    "\n",
    "6. [Negative Values](#negative)"
   ]
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       "\n",
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       "    max-width: fit-content;\n",
       "}\n",
       "\n",
       "table.dataframe th.complex {\n",
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       "<table class=\"dataframe\" id=\"static_df_-1275068415\"><thead><tr><th class=\"bottomBorder\" style=\"text-align:left\">untitled</th><th class=\"bottomBorder\" style=\"text-align:left\">manufacturer</th><th class=\"bottomBorder\" style=\"text-align:left\">model</th><th class=\"bottomBorder\" style=\"text-align:left\">displ</th><th class=\"bottomBorder\" style=\"text-align:left\">year</th><th class=\"bottomBorder\" style=\"text-align:left\">cyl</th><th class=\"bottomBorder\" style=\"text-align:left\">trans</th><th class=\"bottomBorder\" style=\"text-align:left\">drv</th><th class=\"bottomBorder\" style=\"text-align:left\">cty</th><th class=\"bottomBorder\" style=\"text-align:left\">hwy</th><th class=\"bottomBorder\" style=\"text-align:left\">fl</th><th class=\"bottomBorder\" style=\"text-align:left\">class</th></tr></thead><tbody><tr><td  style=\"vertical-align:top\">1</td><td  style=\"vertical-align:top\">audi</td><td  style=\"vertical-align:top\">a4</td><td  style=\"vertical-align:top\">1.800000</td><td  style=\"vertical-align:top\">1999</td><td  style=\"vertical-align:top\">4</td><td  style=\"vertical-align:top\">auto(l5)</td><td  style=\"vertical-align:top\">f</td><td  style=\"vertical-align:top\">18</td><td  style=\"vertical-align:top\">29</td><td  style=\"vertical-align:top\">p</td><td  style=\"vertical-align:top\">compact</td></tr><tr><td  style=\"vertical-align:top\">2</td><td  style=\"vertical-align:top\">audi</td><td  style=\"vertical-align:top\">a4</td><td  style=\"vertical-align:top\">1.800000</td><td  style=\"vertical-align:top\">1999</td><td  style=\"vertical-align:top\">4</td><td  style=\"vertical-align:top\">manual(m5)</td><td  style=\"vertical-align:top\">f</td><td  style=\"vertical-align:top\">21</td><td  style=\"vertical-align:top\">29</td><td  style=\"vertical-align:top\">p</td><td  style=\"vertical-align:top\">compact</td></tr><tr><td  style=\"vertical-align:top\">3</td><td  style=\"vertical-align:top\">audi</td><td  style=\"vertical-align:top\">a4</td><td  style=\"vertical-align:top\">2.000000</td><td  style=\"vertical-align:top\">2008</td><td  style=\"vertical-align:top\">4</td><td  style=\"vertical-align:top\">manual(m6)</td><td  style=\"vertical-align:top\">f</td><td  style=\"vertical-align:top\">20</td><td  style=\"vertical-align:top\">31</td><td  style=\"vertical-align:top\">p</td><td  style=\"vertical-align:top\">compact</td></tr><tr><td  style=\"vertical-align:top\">4</td><td  style=\"vertical-align:top\">audi</td><td  style=\"vertical-align:top\">a4</td><td  style=\"vertical-align:top\">2.000000</td><td  style=\"vertical-align:top\">2008</td><td  style=\"vertical-align:top\">4</td><td  style=\"vertical-align:top\">auto(av)</td><td  style=\"vertical-align:top\">f</td><td  style=\"vertical-align:top\">21</td><td  style=\"vertical-align:top\">30</td><td  style=\"vertical-align:top\">p</td><td  style=\"vertical-align:top\">compact</td></tr><tr><td  style=\"vertical-align:top\">5</td><td  style=\"vertical-align:top\">audi</td><td  style=\"vertical-align:top\">a4</td><td  style=\"vertical-align:top\">2.800000</td><td  style=\"vertical-align:top\">1999</td><td  style=\"vertical-align:top\">6</td><td  style=\"vertical-align:top\">auto(l5)</td><td  style=\"vertical-align:top\">f</td><td  style=\"vertical-align:top\">16</td><td  style=\"vertical-align:top\">26</td><td  style=\"vertical-align:top\">p</td><td  style=\"vertical-align:top\">compact</td></tr></tbody></table>\n",
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       "call_DataFrame(function() { DataFrame.addTable({ cols: [{ name: \"<span title=\\\"untitled: Int\\\">untitled</span>\", children: [], rightAlign: true, values: [\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">1</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">2</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">3</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">4</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">5</span></span>\"] }, \n",
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       "{ name: \"<span title=\\\"model: String\\\">model</span>\", children: [], rightAlign: false, values: [\"a4\",\"a4\",\"a4\",\"a4\",\"a4\"] }, \n",
       "{ name: \"<span title=\\\"displ: Double\\\">displ</span>\", children: [], rightAlign: true, values: [\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">1.8</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">1.8</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">2.0</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">2.0</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">2.8</span></span>\"] }, \n",
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       "{ name: \"<span title=\\\"trans: String\\\">trans</span>\", children: [], rightAlign: false, values: [\"auto(l5)\",\"manual(m5)\",\"manual(m6)\",\"auto(av)\",\"auto(l5)\"] }, \n",
       "{ name: \"<span title=\\\"drv: Char\\\">drv</span>\", children: [], rightAlign: false, values: [\"f\",\"f\",\"f\",\"f\",\"f\"] }, \n",
       "{ name: \"<span title=\\\"cty: Int\\\">cty</span>\", children: [], rightAlign: true, values: [\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">18</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">21</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">20</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">21</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">16</span></span>\"] }, \n",
       "{ name: \"<span title=\\\"hwy: Int\\\">hwy</span>\", children: [], rightAlign: true, values: [\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">29</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">29</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">31</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">30</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">26</span></span>\"] }, \n",
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      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "val mpgDf = DataFrame.readCSV(\"https://raw.githubusercontent.com/JetBrains/lets-plot-kotlin/master/docs/examples/data/mpg.csv\")\n",
    "mpgDf.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "cdeb8a0b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-12-03T16:09:10.573906Z",
     "iopub.status.busy": "2025-12-03T16:09:10.573699Z",
     "iopub.status.idle": "2025-12-03T16:09:10.599120Z",
     "shell.execute_reply": "2025-12-03T16:09:10.598841Z"
    }
   },
   "outputs": [],
   "source": [
    "val mpgData = mpgDf.toMap()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "mobile-terrain",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-12-03T16:09:10.600508Z",
     "iopub.status.busy": "2025-12-03T16:09:10.600248Z",
     "iopub.status.idle": "2025-12-03T16:09:10.637854Z",
     "shell.execute_reply": "2025-12-03T16:09:10.637643Z"
    }
   },
   "outputs": [],
   "source": [
    "val pairedPalette = scaleBrewer(listOf(\"color\", \"fill\"), palette = \"Paired\", format = \"d\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6c57218",
   "metadata": {},
   "source": [
    "<a id=\"default\"></a>\n",
    "\n",
    "#### 1. Stacking in Area Plots \n",
    "\n",
    "Stacking is the default behaviour for most area plots.\n",
    "\n",
    "\"Fill\" makes it easier to compare proportions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6bf7191d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-12-03T16:09:10.640122Z",
     "iopub.status.busy": "2025-12-03T16:09:10.639544Z",
     "iopub.status.idle": "2025-12-03T16:09:10.958942Z",
     "shell.execute_reply": "2025-12-03T16:09:10.959057Z"
    }
   },
   "outputs": [
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      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "letsPlot(mpgData) { x = \"drv\"; fill = asDiscrete(\"year\") } +\n",
    "    geomBar() + \n",
    "    pairedPalette +\n",
    "    ggtitle(\"bar: position='stack' (default)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "52cc13c3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-12-03T16:09:10.961136Z",
     "iopub.status.busy": "2025-12-03T16:09:10.960944Z",
     "iopub.status.idle": "2025-12-03T16:09:11.025511Z",
     "shell.execute_reply": "2025-12-03T16:09:11.025639Z"
    }
   },
   "outputs": [
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       "          <g transform=\"translate(0.0 23.0 ) \">\n",
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       "              <text style=\"font-size:13.0px;\" y=\"0.0\" class=\"legend-item\" dy=\"0.35em\">\n",
       "                <tspan>2008</tspan>\n",
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       "        </g>\n",
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       "    </g>\n",
       "    <path fill=\"rgb(0,0,0)\" fill-opacity=\"0.0\" stroke=\"rgb(71,71,71)\" stroke-opacity=\"1.0\" stroke-width=\"0.0\" d=\"M0.0 0.0 L0.0 400.0 L600.0 400.0 L600.0 0.0 Z\" pointer-events=\"none\">\n",
       "    </path>\n",
       "  </g>\n",
       "  <g id=\"deiNhBl\">\n",
       "  </g>\n",
       "</svg>\n",
       "                <script>document.getElementById(\"c33723d7-a0bd-40e8-bbbe-fb5d7ab5c00b\").style.display = \"none\";</script>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "letsPlot(mpgData) { x = \"drv\"; fill = asDiscrete(\"year\") } +\n",
    "    geomBar(position = positionFill()) + \n",
    "    pairedPalette +\n",
    "    ggtitle(\"bar: position='fill'\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "29671b0b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-12-03T16:09:11.027606Z",
     "iopub.status.busy": "2025-12-03T16:09:11.027394Z",
     "iopub.status.idle": "2025-12-03T16:09:11.114061Z",
     "shell.execute_reply": "2025-12-03T16:09:11.114186Z"
    }
   },
   "outputs": [
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     "data": {
      "application/plot+json": {
       "apply_color_scheme": true,
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       "  <g id=\"doMSj4l\">\n",
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       "                <script>document.getElementById(\"1cc60cc2-28d5-416e-9b0c-e5be388bfe4d\").style.display = \"none\";</script>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "letsPlot(mpgData) { x = \"hwy\"; fill = asDiscrete(\"year\") } +\n",
    "    geomHistogram(bins = 12) +\n",
    "    pairedPalette +\n",
    "    ggtitle(\"histogram: position='stack' (default)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9dd266b0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-12-03T16:09:11.116184Z",
     "iopub.status.busy": "2025-12-03T16:09:11.115976Z",
     "iopub.status.idle": "2025-12-03T16:09:11.182283Z",
     "shell.execute_reply": "2025-12-03T16:09:11.182420Z"
    }
   },
   "outputs": [
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       "                <script>document.getElementById(\"0c6c787b-f0ef-4cc8-af6b-0cffebdf3077\").style.display = \"none\";</script>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "letsPlot(mpgData) { x = \"hwy\"; fill = asDiscrete(\"year\") } +\n",
    "    geomHistogram(bins = 12, position = positionFill()) +\n",
    "    pairedPalette +\n",
    "    ggtitle(\"histogram: position='fill'\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "41435d9b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-12-03T16:09:11.185178Z",
     "iopub.status.busy": "2025-12-03T16:09:11.184697Z",
     "iopub.status.idle": "2025-12-03T16:09:11.302100Z",
     "shell.execute_reply": "2025-12-03T16:09:11.302233Z"
    }
   },
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       "  <g id=\"d7uarpv\">\n",
       "  </g>\n",
       "</svg>\n",
       "                <script>document.getElementById(\"c76a6616-f132-4ef0-b69b-112bdd05545c\").style.display = \"none\";</script>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "letsPlot(mpgData) { x = \"hwy\"; fill = asDiscrete(\"year\") } +\n",
    "    geomArea(stat = Stat.density(), color = \"white\") +\n",
    "    pairedPalette +\n",
    "    ggtitle(\"area: position='stack' (default)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a53f3e3c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-12-03T16:09:11.304052Z",
     "iopub.status.busy": "2025-12-03T16:09:11.303802Z",
     "iopub.status.idle": "2025-12-03T16:09:11.370256Z",
     "shell.execute_reply": "2025-12-03T16:09:11.370136Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/plot+json": {
       "apply_color_scheme": true,
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       "           window.letsPlotCall(function() { fig = LetsPlot.buildPlotFromProcessedSpecs(plotSpec, containerDiv, sizing); });\n",
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     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "letsPlot(mpgData) { x = \"hwy\"; fill = asDiscrete(\"year\") } +\n",
    "    geomArea(stat = Stat.density(), position = positionFill(), color = \"white\") +\n",
    "    pairedPalette +\n",
    "    ggtitle(\"area: position='fill'\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ffdc861e",
   "metadata": {},
   "source": [
    "<a id=\"order\"></a>\n",
    "\n",
    "#### 2. Stacking Order\n",
    "\n",
    "Control the stacking order by changing the `order` parameter of the `asDiscrete()` function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "d2c3d6e0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-12-03T16:09:11.372005Z",
     "iopub.status.busy": "2025-12-03T16:09:11.371747Z",
     "iopub.status.idle": "2025-12-03T16:09:11.472933Z",
     "shell.execute_reply": "2025-12-03T16:09:11.473070Z"
    }
   },
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       "           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",
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     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "letsPlot(mpgData) { x = \"hwy\" } +\n",
    "    geomArea(stat = Stat.density(), color = \"white\") { fill = asDiscrete(\"drv\") } +\n",
    "    pairedPalette +\n",
    "    ggtitle(\"Default order of drive types\")"
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  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "3378676a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-12-03T16:09:11.474502Z",
     "iopub.status.busy": "2025-12-03T16:09:11.474301Z",
     "iopub.status.idle": "2025-12-03T16:09:11.564728Z",
     "shell.execute_reply": "2025-12-03T16:09:11.564600Z"
    }
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       "           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",
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     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "letsPlot(mpgData) { x = \"hwy\" } +\n",
    "    geomArea(stat = Stat.density(), color = \"white\") { fill = asDiscrete(\"drv\", order = -1) } +\n",
    "    pairedPalette +\n",
    "    ggtitle(\"Backward order of drive types\")"
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   "id": "8af903f8",
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   "source": [
    "<a id=\"other-geoms\"></a>\n",
    "\n",
    "#### 3. Other Geometries\n",
    "\n",
    "Let's have a look at the geometries, for which the default position adjustment differs from `'stack'` and `'fill'`.\n",
    "\n",
    "When stacking across multiple layers it's a good idea to set the **`group`** aesthetic - this ensures that all layers are stacked in the same way."
   ]
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  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "37bb8e38",
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     "shell.execute_reply": "2025-12-03T16:09:11.638431Z"
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       "                <tspan>100</tspan>\n",
       "              </text>\n",
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       "        </g>\n",
       "      </g>\n",
       "    </g>\n",
       "    <g transform=\"translate(46.94181636640461 15.8 ) \">\n",
       "      <text style=\"font-size:16.0px;\" y=\"0.0\" class=\"plot-title\">\n",
       "        <tspan>Line and point</tspan>\n",
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       "        <tspan>count</tspan>\n",
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       "      <text style=\"font-size:15.0px;\" y=\"0.0\" class=\"axis-title-x\" text-anchor=\"middle\">\n",
       "        <tspan>drv</tspan>\n",
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       "          <text style=\"font-size:15.0px;\" y=\"0.0\" class=\"legend-title\">\n",
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       "                  <g >\n",
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       "                  </line>\n",
       "                </g>\n",
       "                <g>\n",
       "                  <g >\n",
       "                    <circle fill=\"#1f78b4\" stroke=\"#1f78b4\" stroke-opacity=\"0.0\" stroke-width=\"0.0\" cx=\"10.5\" cy=\"10.5\" r=\"5.5\" />\n",
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       "                </g>\n",
       "              </g>\n",
       "            </g>\n",
       "            <g transform=\"translate(26.9903027277341 11.5 ) \">\n",
       "              <text style=\"font-size:13.0px;\" y=\"0.0\" class=\"legend-item\" dy=\"0.35em\">\n",
       "                <tspan>2008</tspan>\n",
       "              </text>\n",
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       "          </g>\n",
       "        </g>\n",
       "      </g>\n",
       "    </g>\n",
       "    <path fill=\"rgb(0,0,0)\" fill-opacity=\"0.0\" stroke=\"rgb(71,71,71)\" stroke-opacity=\"1.0\" stroke-width=\"0.0\" d=\"M0.0 0.0 L0.0 400.0 L600.0 400.0 L600.0 0.0 Z\" pointer-events=\"none\">\n",
       "    </path>\n",
       "  </g>\n",
       "  <g id=\"dKBERRH\">\n",
       "  </g>\n",
       "</svg>\n",
       "                <script>document.getElementById(\"16b54189-af84-4c26-8e0c-d7ce30f63be2\").style.display = \"none\";</script>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "letsPlot(mpgData) { x = \"drv\"; color = asDiscrete(\"year\") } +\n",
    "    geomLine(stat = Stat.count(), position = positionStack(), size = 1.5) +\n",
    "    geomPoint(stat = Stat.count(), position = positionStack(), size = 5) +\n",
    "    pairedPalette +\n",
    "    ggtitle(\"Line and point\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e5b4e5a4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-12-03T16:09:11.639523Z",
     "iopub.status.busy": "2025-12-03T16:09:11.639367Z",
     "iopub.status.idle": "2025-12-03T16:09:11.703976Z",
     "shell.execute_reply": "2025-12-03T16:09:11.704106Z"
    }
   },
   "outputs": [
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     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "letsPlot(mpgData) { x = \"drv\" } +\n",
    "    geomArea(stat = Stat.count(), position = positionStack(), color = \"white\") { fill = asDiscrete(\"year\") } +\n",
    "    geomLine(stat = Stat.count(), position = positionStack(), color = \"white\") { group = \"year\" } +\n",
    "    pairedPalette +\n",
    "    ggtitle(\"Area and line\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d57f4b14",
   "metadata": {},
   "source": [
    "<a id=\"vjust\"></a>\n",
    "\n",
    "#### 4. Parameter `vjust`\n",
    "\n",
    "The `vjust` argument of `positionStack()` is used to move the location of plot elements vertically (vjust stands for vertical adjustment)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "59d57295",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-12-03T16:09:11.705329Z",
     "iopub.status.busy": "2025-12-03T16:09:11.705142Z",
     "iopub.status.idle": "2025-12-03T16:09:11.775312Z",
     "shell.execute_reply": "2025-12-03T16:09:11.775201Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/plot+json": {
       "apply_color_scheme": true,
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       "      <text style=\"font-size:15.0px;\" y=\"0.0\" class=\"axis-title-x\" text-anchor=\"middle\">\n",
       "        <tspan>drv</tspan>\n",
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       "              <text style=\"font-size:13.0px;\" y=\"0.0\" class=\"legend-item\" dy=\"0.35em\">\n",
       "                <tspan>1999</tspan>\n",
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       "          <g transform=\"translate(0.0 23.0 ) \">\n",
       "            <g>\n",
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       "            <g transform=\"translate(26.9903027277341 11.5 ) \">\n",
       "              <text style=\"font-size:13.0px;\" y=\"0.0\" class=\"legend-item\" dy=\"0.35em\">\n",
       "                <tspan>2008</tspan>\n",
       "              </text>\n",
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       "          </g>\n",
       "        </g>\n",
       "      </g>\n",
       "    </g>\n",
       "    <path fill=\"rgb(0,0,0)\" fill-opacity=\"0.0\" stroke=\"rgb(71,71,71)\" stroke-opacity=\"1.0\" stroke-width=\"0.0\" d=\"M0.0 0.0 L0.0 400.0 L600.0 400.0 L600.0 0.0 Z\" pointer-events=\"none\">\n",
       "    </path>\n",
       "  </g>\n",
       "  <g id=\"dnW3nqV\">\n",
       "  </g>\n",
       "</svg>\n",
       "                <script>document.getElementById(\"5d7626c9-eeae-40d5-b548-40036a743492\").style.display = \"none\";</script>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "letsPlot(mpgData) { x = \"drv\" } +\n",
    "    geomArea(stat = Stat.count(), position = positionStack(), color = \"white\") { fill = asDiscrete(\"year\") } +\n",
    "    geomLabel(stat = Stat.count(), position = positionStack(), color = \"black\") {\n",
    "        label = \"..count..\"; group = \"year\" \n",
    "    } +\n",
    "    pairedPalette +\n",
    "    ggtitle(\"vjust=1 (default)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b38dd461",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-12-03T16:09:11.776176Z",
     "iopub.status.busy": "2025-12-03T16:09:11.776066Z",
     "iopub.status.idle": "2025-12-03T16:09:11.840876Z",
     "shell.execute_reply": "2025-12-03T16:09:11.840994Z"
    }
   },
   "outputs": [
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      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "letsPlot(mpgData) { x = \"drv\" } +\n",
    "    geomArea(stat = Stat.count(), position = positionStack(), color = \"white\") { fill = asDiscrete(\"year\") } +\n",
    "    geomLabel(stat = Stat.count(), position = positionStack(vjust = 0.5), color = \"black\") {\n",
    "        label = \"..count..\"; group = \"year\" \n",
    "    } +\n",
    "    pairedPalette +\n",
    "    ggtitle(\"vjust=0.5\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "19272796",
   "metadata": {},
   "source": [
    "<a id=\"mode\"></a>\n",
    "\n",
    "#### 5. Parameter `mode`\n",
    "\n",
    "By default only objects from different groups are stacked over each other, and objects inside one group are positioned as in `position = positionIdentity`.\n",
    "\n",
    "This behaviour could be changed by switching `mode` parameter.\n",
    "\n",
    "`mode=\"all\"` means, that each object will be shifted."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "9a3846ff",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-12-03T16:09:11.842196Z",
     "iopub.status.busy": "2025-12-03T16:09:11.842022Z",
     "iopub.status.idle": "2025-12-03T16:09:11.906289Z",
     "shell.execute_reply": "2025-12-03T16:09:11.906418Z"
    }
   },
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     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "letsPlot(mpgData) { x = \"hwy\"; color = \"class\" } +\n",
    "    geomPoint(y = 1, position = positionStack()) +\n",
    "    coordFixed() + ylim(1 to 35) +\n",
    "    ggtitle(\"mode='groups' (default)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "912b21fe",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-12-03T16:09:11.907764Z",
     "iopub.status.busy": "2025-12-03T16:09:11.907567Z",
     "iopub.status.idle": "2025-12-03T16:09:11.964923Z",
     "shell.execute_reply": "2025-12-03T16:09:11.964757Z"
    }
   },
   "outputs": [
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       "        <tspan>mode=&#39;all&#39;</tspan>\n",
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       "        <tspan>y</tspan>\n",
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       "        <tspan>hwy</tspan>\n",
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       "              <text style=\"font-size:13.0px;\" y=\"0.0\" class=\"legend-item\" dy=\"0.35em\">\n",
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       "  </g>\n",
       "  <g id=\"dGxmtAZ\">\n",
       "  </g>\n",
       "</svg>\n",
       "                <script>document.getElementById(\"20e93513-dc04-411e-a79d-000abed78dea\").style.display = \"none\";</script>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "letsPlot(mpgData) { x = \"hwy\"; color = \"class\" } +\n",
    "    geomPoint(y = 1, position = positionStack(mode = \"all\")) +\n",
    "    coordFixed() + ylim(1 to 35) +\n",
    "    ggtitle(\"mode='all'\")  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c85c7b82",
   "metadata": {},
   "source": [
    "<a id=\"negative\"></a>\n",
    "\n",
    "#### 6. Negative Values\n",
    "\n",
    "Stacking supports positive and negative shifts of the objects separately."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "d54478e2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-12-03T16:09:11.966133Z",
     "iopub.status.busy": "2025-12-03T16:09:11.965947Z",
     "iopub.status.idle": "2025-12-03T16:09:12.018012Z",
     "shell.execute_reply": "2025-12-03T16:09:12.017813Z"
    }
   },
   "outputs": [],
   "source": [
    "val data = mapOf(\n",
    "    \"x\" to listOf(0, 1, 2, 0, 1, 2),\n",
    "    \"y\" to listOf(4, 2, 3, 0, 1, -1),\n",
    "    \"g\" to listOf(\"a\", \"a\", \"a\", \"b\", \"b\", \"b\")\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "3da949c1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-12-03T16:09:12.019413Z",
     "iopub.status.busy": "2025-12-03T16:09:12.019145Z",
     "iopub.status.idle": "2025-12-03T16:09:12.088277Z",
     "shell.execute_reply": "2025-12-03T16:09:12.088352Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/plot+json": {
       "apply_color_scheme": true,
       "output": {
        "data": {
         "g": [
          "a",
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          "a",
          "b",
          "b",
          "b"
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         "x": [
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          2.0,
          0.0,
          1.0,
          2.0
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         "y": [
          4.0,
          2.0,
          3.0,
          0.0,
          1.0,
          -1.0
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        },
        "data_meta": {
         "series_annotations": [
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           "column": "x",
           "type": "int"
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           "column": "y",
           "type": "int"
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           "column": "g",
           "type": "str"
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        "kind": "plot",
        "layers": [
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          "geom": "bar",
          "mapping": {},
          "position": "stack",
          "stat": "identity"
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          "color": "black",
          "geom": "hline",
          "mapping": {},
          "position": "identity",
          "stat": "identity",
          "yintercept": 0.0
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        ],
        "mapping": {
         "fill": "g",
         "x": "x",
         "y": "y"
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        "scales": [
         {
          "aesthetic": "color",
          "format": "d",
          "palette": "Paired",
          "scale_mapper_kind": "color_brewer"
         },
         {
          "aesthetic": "fill",
          "format": "d",
          "palette": "Paired",
          "scale_mapper_kind": "color_brewer"
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        ],
        "theme": {
         "axis_line": "blank",
         "axis_ticks": "blank"
        }
       },
       "output_type": "lets_plot_spec",
       "swing_enabled": true
      },
      "text/html": [
       "   <div id=\"FI7Ku8\" ></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",
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       "   const preferredWidth = document.body.dataset.letsPlotPreferredWidth;\n",
       "   if (preferredWidth !== undefined) {\n",
       "       sizing = {\n",
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       "           height_mode: 'SCALED',\n",
       "           width: parseFloat(preferredWidth)\n",
       "       };\n",
       "   }\n",
       "   \n",
       "   const containerDiv = document.getElementById(\"FI7Ku8\");\n",
       "   let fig = null;\n",
       "   \n",
       "   function renderPlot() {\n",
       "       if (fig === null) {\n",
       "           const plotSpec = {\n",
       "\"mapping\":{\n",
       "\"x\":\"x\",\n",
       "\"y\":\"y\",\n",
       "\"fill\":\"g\"\n",
       "},\n",
       "\"data\":{\n",
       "\"g\":[\"a\",\"a\",\"a\",\"b\",\"b\",\"b\"],\n",
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      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "letsPlot(data) { x = \"x\"; y = \"y\"; fill = \"g\" } +\n",
    "    geomBar(stat = Stat.identity) +\n",
    "    geomHLine(yintercept = 0, color = \"black\") +\n",
    "    pairedPalette +\n",
    "    theme(axisLine = \"blank\", axisTicks = \"blank\")    "
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  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "edc9e013",
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     "iopub.status.busy": "2025-12-03T16:09:12.089407Z",
     "iopub.status.idle": "2025-12-03T16:09:12.154791Z",
     "shell.execute_reply": "2025-12-03T16:09:12.154620Z"
    }
   },
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     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "letsPlot(data) { x = \"x\"; y = \"y\" } +\n",
    "    geomBar(stat = Stat.identity, position = positionFill()) { fill = \"g\"} +\n",
    "    geomLabel(stat = Stat.identity, position = positionFill(vjust = 0.5)) { label = \"g\"; group = \"g\" } +\n",
    "    geomHLine(yintercept=0, color=\"black\") +\n",
    "    pairedPalette +\n",
    "    theme(axisLine = \"blank\", axisTicks = \"blank\")    "
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