diff --git a/notebooks/componentization/intake-person-demo(potato-chips).csv b/notebooks/componentization/intake-person-demo(potato-chips).csv
new file mode 100644
index 00000000..a196bd91
--- /dev/null
+++ b/notebooks/componentization/intake-person-demo(potato-chips).csv
@@ -0,0 +1,5285 @@
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diff --git a/notebooks/componentization/w10-intake-potato-chips(copilot).ipynb b/notebooks/componentization/w10-intake-potato-chips(copilot).ipynb
new file mode 100644
index 00000000..3981542b
--- /dev/null
+++ b/notebooks/componentization/w10-intake-potato-chips(copilot).ipynb
@@ -0,0 +1,101 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "413ec0a6",
+   "metadata": {},
+   "source": [
+    "# Plotting Correlation between Potato Chips Intake and Age\n",
+    "*Assisted by Copilot*"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "5946fc45-0a5d-496e-b13c-a360604f5abf",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   fcid_code  age  gender  ethnicity  height  bodyweight  intake_bw\n",
+      "0  103296000    0       2          4    70.4         9.4   0.315893\n",
+      "1  103296000    0       1          1    68.9        10.1   0.460173\n",
+      "2  103296000    0       2          5    78.4        11.1   0.258317\n",
+      "3  103296000    0       1          4    69.8         8.4   0.414977\n",
+      "4  103296000    0       1          1    79.3        13.0   0.496554\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Read a CSV file in the relative path ../../../data/food-intake/grouped/intake-person-demo(potato-chips).csv\n",
+    "# and print the first five rows of the file\n",
+    "\n",
+    "import pandas as pd\n",
+    "\n",
+    "# Read the CSV file\n",
+    "df = pd.read_csv('intake-person-demo(potato-chips).csv')\n",
+    "\n",
+    "# Print the first five rows of the file\n",
+    "print(df.head())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "034c2061",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Draw a scatter plot of this file with age vs. intake_bw\n",
+    "# changing the bullet color of intake_bw according to its value\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Create a scatter plot\n",
+    "plt.scatter(df['age'], df['intake_bw'], c=df['intake_bw'], cmap='viridis')\n",
+    "\n",
+    "# Add labels to the plot\n",
+    "plt.xlabel('Age')\n",
+    "plt.ylabel('Intake BW')\n",
+    "plt.title('Age vs. Intake BW')\n",
+    "\n",
+    "# Show the plot\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/componentization/w10-intake-potato-chips.ipynb b/notebooks/componentization/w10-intake-potato-chips.ipynb
new file mode 100644
index 00000000..a49978a5
--- /dev/null
+++ b/notebooks/componentization/w10-intake-potato-chips.ipynb
@@ -0,0 +1,76 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "962c65f1-60aa-46a2-a7df-d651530add42",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import Orange\n",
+    "from Orange.widgets.data.owfile import OWFile\n",
+    "from Orange.widgets.visualize.owscatterplot import OWScatterPlot\n",
+    "from AnyQt.QtWidgets import QApplication\n",
+    "import sys\n",
+    "\n",
+    "# Initialize the application\n",
+    "app = QApplication(sys.argv)\n",
+    "\n",
+    "# 1. Instantiate the File widget (table component)\n",
+    "data = Orange.data.Table(\"intake-person-demo(potato-chips).csv\")\n",
+    "\n",
+    "# 2. Instantiate the Scatter Plot widget\n",
+    "scatter_widget = OWScatterPlot()\n",
+    "\n",
+    "# 3. Connect the File widget to the Scatter Plot widget\n",
+    "scatter_widget.set_data(data)\n",
+    "\n",
+    "# Configure the Scatter Plot\n",
+    "scatter_widget.attr_x = data.domain[\"age\"]\n",
+    "scatter_widget.attr_y = data.domain[\"intake_bw\"]\n",
+    "scatter_widget.attr_color = data.domain[\"intake_bw\"]\n",
+    "\n",
+    "# Update the widget\n",
+    "scatter_widget.handleNewSignals()\n",
+    "\n",
+    "# Show the Scatter Plot widget\n",
+    "scatter_widget.show()\n",
+    "\n",
+    "# Run the application\n",
+    "app.exec()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/componentization/w10-intake-potatos-step01.ipynb b/notebooks/componentization/w10-intake-potatos-step01.ipynb
new file mode 100644
index 00000000..2a1b5663
--- /dev/null
+++ b/notebooks/componentization/w10-intake-potatos-step01.ipynb
@@ -0,0 +1,237 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "01518c27-3ca5-4a74-ba5b-62bf9007b386",
+   "metadata": {},
+   "source": [
+    "# Passo a Passo de um Componente"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "feb9af66-7a33-4807-90f8-9aa546091f48",
+   "metadata": {},
+   "source": [
+    "Importando o PlantUML para construir os diagramas"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "fbd474e5-f332-4400-8c87-23e0330145f3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import iplantuml"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "691ef294-0ca0-4dec-993c-371ab013a597",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Writing output for /home/santanche/git/component2learn/notebooks/componentization/2415dbd3-c93f-47be-9719-0c3cf3ec434a.uml to 2415dbd3-c93f-47be-9719-0c3cf3ec434a.svg\n"
+     ]
+    },
+    {
+     "data": {
+      "image/svg+xml": [
+       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" contentStyleType=\"text/css\" height=\"67px\" preserveAspectRatio=\"none\" style=\"width:99px;height:67px;background:#FFFFFF;\" version=\"1.1\" viewBox=\"0 0 99 67\" width=\"99px\" zoomAndPan=\"magnify\"><defs/><g><!--entity Table--><g id=\"elem_Table\"><rect fill=\"#F1F1F1\" height=\"46.2969\" rx=\"2.5\" ry=\"2.5\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"78.5205\" x=\"7\" y=\"7\"/><rect fill=\"#F1F1F1\" height=\"10\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"15\" x=\"65.5205\" y=\"12\"/><rect fill=\"#F1F1F1\" height=\"2\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"4\" x=\"63.5205\" y=\"14\"/><rect fill=\"#F1F1F1\" height=\"2\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"4\" x=\"63.5205\" y=\"18\"/><text fill=\"#000000\" font-family=\"sans-serif\" font-size=\"14\" lengthAdjust=\"spacing\" textLength=\"38.5205\" x=\"22\" y=\"39.9951\">Table</text></g><!--SRC=[Ymv9JCf9ZGK0]--></g></svg>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.SVG object>"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "%%plantuml\n",
+    "\n",
+    "@startuml\n",
+    "[Table]\n",
+    "@enduml"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "0006061c-2c6b-451b-9a9c-763306c7cc89",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "class Table:\n",
+    "    def __init__(self, file_path):\n",
+    "        self.file_path = file_path\n",
+    "\n",
+    "    def load_data(self):\n",
+    "        return pd.read_csv(self.file_path)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "c1b6b3af-23de-4d12-8033-0f71cfe555c5",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Writing output for /home/santanche/git/component2learn/notebooks/componentization/8ae28b7c-988f-44e3-9aaf-4c8bcf446743.uml to 8ae28b7c-988f-44e3-9aaf-4c8bcf446743.svg\n"
+     ]
+    },
+    {
+     "data": {
+      "image/svg+xml": [
+       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" contentStyleType=\"text/css\" height=\"67px\" preserveAspectRatio=\"none\" style=\"width:137px;height:67px;background:#FFFFFF;\" version=\"1.1\" viewBox=\"0 0 137 67\" width=\"137px\" zoomAndPan=\"magnify\"><defs/><g><!--entity ScatterPlot--><g id=\"elem_ScatterPlot\"><rect fill=\"#F1F1F1\" height=\"46.2969\" rx=\"2.5\" ry=\"2.5\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"116.8975\" x=\"7\" y=\"7\"/><rect fill=\"#F1F1F1\" height=\"10\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"15\" x=\"103.8975\" y=\"12\"/><rect fill=\"#F1F1F1\" height=\"2\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"4\" x=\"101.8975\" y=\"14\"/><rect fill=\"#F1F1F1\" height=\"2\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"4\" x=\"101.8975\" y=\"18\"/><text fill=\"#000000\" font-family=\"sans-serif\" font-size=\"14\" lengthAdjust=\"spacing\" textLength=\"76.8975\" x=\"22\" y=\"39.9951\">ScatterPlot</text></g><!--SRC=[YmvEJYmfIIqAoCalYGK0]--></g></svg>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.SVG object>"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "%%plantuml\n",
+    "\n",
+    "@startuml\n",
+    "[ScatterPlot]\n",
+    "@enduml"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "873babb7-f656-45c3-9820-cf255cb2f8a2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "class ScatterPlot:\n",
+    "    def __init__(self, df, xfield, yfield, title):\n",
+    "        self.df = df\n",
+    "        self.xfield = xfield\n",
+    "        self.yfield = yfield\n",
+    "        self.title = title\n",
+    "\n",
+    "    def plot(self):\n",
+    "        # Create a scatter plot\n",
+    "        plt.figure(figsize=(10, 6))\n",
+    "        scatter = plt.scatter(self.df[self.xfield], self.df[self.yfield], c=self.df[self.yfield], cmap='viridis')\n",
+    "\n",
+    "        # Add labels to the plot\n",
+    "        plt.xlabel(self.xfield)\n",
+    "        plt.ylabel(self.yfield)\n",
+    "        plt.title(self.title)\n",
+    "\n",
+    "        # Add a colorbar\n",
+    "        plt.colorbar(scatter, label=self.yfield)\n",
+    "\n",
+    "        # Show the plot\n",
+    "        plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "186d1426-70dc-4554-82e8-7eaabc4a44fb",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Writing output for /home/santanche/git/component2learn/notebooks/componentization/0f6625f6-b988-47fb-a713-19bbdff5601d.uml to 0f6625f6-b988-47fb-a713-19bbdff5601d.svg\n"
+     ]
+    },
+    {
+     "data": {
+      "image/svg+xml": [
+       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" contentStyleType=\"text/css\" height=\"59px\" preserveAspectRatio=\"none\" style=\"width:243px;height:59px;background:#FFFFFF;\" version=\"1.1\" viewBox=\"0 0 243 59\" width=\"243px\" zoomAndPan=\"magnify\"><defs/><g><!--entity Table--><g id=\"elem_Table\"><rect fill=\"#F1F1F1\" height=\"46.2969\" rx=\"2.5\" ry=\"2.5\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"78.5205\" x=\"7\" y=\"7\"/><rect fill=\"#F1F1F1\" height=\"10\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"15\" x=\"65.5205\" y=\"12\"/><rect fill=\"#F1F1F1\" height=\"2\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"4\" x=\"63.5205\" y=\"14\"/><rect fill=\"#F1F1F1\" height=\"2\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"4\" x=\"63.5205\" y=\"18\"/><text fill=\"#000000\" font-family=\"sans-serif\" font-size=\"14\" lengthAdjust=\"spacing\" textLength=\"38.5205\" x=\"22\" y=\"39.9951\">Table</text></g><!--entity ScatterPlot--><g id=\"elem_ScatterPlot\"><rect fill=\"#F1F1F1\" height=\"46.2969\" rx=\"2.5\" ry=\"2.5\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"116.8975\" x=\"120.81\" y=\"7\"/><rect fill=\"#F1F1F1\" height=\"10\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"15\" x=\"217.7075\" y=\"12\"/><rect fill=\"#F1F1F1\" height=\"2\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"4\" x=\"215.7075\" y=\"14\"/><rect fill=\"#F1F1F1\" height=\"2\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"4\" x=\"215.7075\" y=\"18\"/><text fill=\"#000000\" font-family=\"sans-serif\" font-size=\"14\" lengthAdjust=\"spacing\" textLength=\"76.8975\" x=\"135.81\" y=\"39.9951\">ScatterPlot</text></g><!--link Table to ScatterPlot--><g id=\"link_Table_ScatterPlot\"><path d=\"M86,30.15 C97.54,30.15 109.08,30.15 120.61,30.15 \" fill=\"none\" id=\"Table-ScatterPlot\" style=\"stroke:#181818;stroke-width:1.0;\"/></g><!--SRC=[Ymv9JCf9ZLNGLOWEJauiAKaj2iZ9Bua50000]--></g></svg>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.SVG object>"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "%%plantuml\n",
+    "\n",
+    "@startuml\n",
+    "[Table] - [ScatterPlot]\n",
+    "@enduml"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "d40a6963-3e70-4fb5-8236-28d15a32d94b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Create a DataLoader instance\n",
+    "table_intake = Table('intake-person-demo(potato-chips).csv')\n",
+    "\n",
+    "# Load the data\n",
+    "df = table_intake.load_data()\n",
+    "\n",
+    "# Create a ScatterPlot instance\n",
+    "scatter_plot = ScatterPlot(df, 'age', 'intake_bw', 'Age vs. Intake BW for Potato Chips')\n",
+    "    \n",
+    "# Generate the plot\n",
+    "scatter_plot.plot()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/componentization/w10-intake-potatos-step02.ipynb b/notebooks/componentization/w10-intake-potatos-step02.ipynb
new file mode 100644
index 00000000..25d7503e
--- /dev/null
+++ b/notebooks/componentization/w10-intake-potatos-step02.ipynb
@@ -0,0 +1,237 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "01518c27-3ca5-4a74-ba5b-62bf9007b386",
+   "metadata": {},
+   "source": [
+    "# Passo a Passo de um Componente"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "feb9af66-7a33-4807-90f8-9aa546091f48",
+   "metadata": {},
+   "source": [
+    "Importando o PlantUML para construir os diagramas"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "fbd474e5-f332-4400-8c87-23e0330145f3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import iplantuml"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "691ef294-0ca0-4dec-993c-371ab013a597",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Writing output for /home/santanche/git/component2learn/notebooks/componentization/76379acc-3550-47cd-aeed-a40c999d3656.uml to 76379acc-3550-47cd-aeed-a40c999d3656.svg\n"
+     ]
+    },
+    {
+     "data": {
+      "image/svg+xml": [
+       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" contentStyleType=\"text/css\" height=\"68px\" preserveAspectRatio=\"none\" style=\"width:168px;height:68px;background:#FFFFFF;\" version=\"1.1\" viewBox=\"0 0 168 68\" width=\"168px\" zoomAndPan=\"magnify\"><defs/><g><!--entity Table--><g id=\"elem_Table\"><rect fill=\"#F1F1F1\" height=\"46.2969\" rx=\"2.5\" ry=\"2.5\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"78.5205\" x=\"7\" y=\"7\"/><rect fill=\"#F1F1F1\" height=\"10\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"15\" x=\"65.5205\" y=\"12\"/><rect fill=\"#F1F1F1\" height=\"2\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"4\" x=\"63.5205\" y=\"14\"/><rect fill=\"#F1F1F1\" height=\"2\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"4\" x=\"63.5205\" y=\"18\"/><text fill=\"#000000\" font-family=\"sans-serif\" font-size=\"14\" lengthAdjust=\"spacing\" textLength=\"38.5205\" x=\"22\" y=\"39.9951\">Table</text></g><!--entity DataFlow--><g id=\"elem_DataFlow\"><ellipse cx=\"129.26\" cy=\"30.15\" fill=\"#F1F1F1\" rx=\"8\" ry=\"8\" style=\"stroke:#181818;stroke-width:0.5;\"/><text fill=\"#000000\" font-family=\"sans-serif\" font-size=\"14\" lengthAdjust=\"spacing\" textLength=\"65.3857\" x=\"96.5671\" y=\"60.1451\">DataFlow</text></g><!--link Table to DataFlow--><g id=\"link_Table_DataFlow\"><path d=\"M85.81,30.15 C97.24,30.15 98.67,30.15 110.1,30.15 \" fill=\"none\" id=\"Table-to-DataFlow\" style=\"stroke:#181818;stroke-width:1.0;\"/><path d=\"M117.0218,21.6928 A9,9 0 0 0 117.0218 38.6072\" fill=\"none\" style=\"stroke:#181818;stroke-width:1.5;\"/></g><!--SRC=[Ymv9JCf9ZLNGrL1mIIn9TCl9BmS0]--></g></svg>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.SVG object>"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "%%plantuml\n",
+    "\n",
+    "@startuml\n",
+    "[Table] -( DataFlow\n",
+    "@enduml"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "0006061c-2c6b-451b-9a9c-763306c7cc89",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "class Table:\n",
+    "    def __init__(self, file_path):\n",
+    "        self.file_path = file_path\n",
+    "\n",
+    "    def connect(self, component):\n",
+    "        component.update(pd.read_csv(self.file_path))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "c1b6b3af-23de-4d12-8033-0f71cfe555c5",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Writing output for /home/santanche/git/component2learn/notebooks/componentization/b847544b-a885-41e7-b277-0d243ea8b8e7.uml to b847544b-a885-41e7-b277-0d243ea8b8e7.svg\n"
+     ]
+    },
+    {
+     "data": {
+      "image/svg+xml": [
+       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" contentStyleType=\"text/css\" height=\"68px\" preserveAspectRatio=\"none\" style=\"width:205px;height:68px;background:#FFFFFF;\" version=\"1.1\" viewBox=\"0 0 205 68\" width=\"205px\" zoomAndPan=\"magnify\"><defs/><g><!--entity DataFlow--><g id=\"elem_DataFlow\"><ellipse cx=\"38.6929\" cy=\"30.15\" fill=\"#F1F1F1\" rx=\"8\" ry=\"8\" style=\"stroke:#181818;stroke-width:0.5;\"/><text fill=\"#000000\" font-family=\"sans-serif\" font-size=\"14\" lengthAdjust=\"spacing\" textLength=\"65.3857\" x=\"6\" y=\"60.1451\">DataFlow</text></g><!--entity ScatterPlot--><g id=\"elem_ScatterPlot\"><rect fill=\"#F1F1F1\" height=\"46.2969\" rx=\"2.5\" ry=\"2.5\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"116.8975\" x=\"82.2429\" y=\"7\"/><rect fill=\"#F1F1F1\" height=\"10\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"15\" x=\"179.1403\" y=\"12\"/><rect fill=\"#F1F1F1\" height=\"2\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"4\" x=\"177.1403\" y=\"14\"/><rect fill=\"#F1F1F1\" height=\"2\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"4\" x=\"177.1403\" y=\"18\"/><text fill=\"#000000\" font-family=\"sans-serif\" font-size=\"14\" lengthAdjust=\"spacing\" textLength=\"76.8975\" x=\"97.2429\" y=\"39.9951\">ScatterPlot</text></g><!--link DataFlow to ScatterPlot--><g id=\"link_DataFlow_ScatterPlot\"><path d=\"M47.8529,30.15 C59.2229,30.15 70.5829,30.15 81.9429,30.15 \" fill=\"none\" id=\"DataFlow-ScatterPlot\" style=\"stroke:#181818;stroke-width:1.0;\"/></g><!--SRC=[SqaiINJBoIzNq5M83avEB2b9BGh8oI-91G00]--></g></svg>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.SVG object>"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "%%plantuml\n",
+    "\n",
+    "@startuml\n",
+    "DataFlow - [ScatterPlot]\n",
+    "@enduml"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "873babb7-f656-45c3-9820-cf255cb2f8a2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "class ScatterPlot:\n",
+    "    def __init__(self, xfield, yfield, title):\n",
+    "        self.xfield = xfield\n",
+    "        self.yfield = yfield\n",
+    "        self.title = title\n",
+    "\n",
+    "    def plot(self):\n",
+    "        # Create a scatter plot\n",
+    "        plt.figure(figsize=(10, 6))\n",
+    "        scatter = plt.scatter(self.df[self.xfield], self.df[self.yfield], c=self.df[self.yfield], cmap='viridis')\n",
+    "\n",
+    "        # Add labels to the plot\n",
+    "        plt.xlabel(self.xfield)\n",
+    "        plt.ylabel(self.yfield)\n",
+    "        plt.title(self.title)\n",
+    "\n",
+    "        # Add a colorbar\n",
+    "        plt.colorbar(scatter, label=self.yfield)\n",
+    "\n",
+    "        # Show the plot\n",
+    "        plt.show()\n",
+    "\n",
+    "    # Interface DataFlow\n",
+    "    def update(self, new_data):\n",
+    "        self.df = new_data\n",
+    "        self.plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "186d1426-70dc-4554-82e8-7eaabc4a44fb",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Writing output for /home/santanche/git/component2learn/notebooks/componentization/06e5c216-b8d4-492b-97fd-892eac801433.uml to 06e5c216-b8d4-492b-97fd-892eac801433.svg\n"
+     ]
+    },
+    {
+     "data": {
+      "image/svg+xml": [
+       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" contentStyleType=\"text/css\" height=\"68px\" preserveAspectRatio=\"none\" style=\"width:295px;height:68px;background:#FFFFFF;\" version=\"1.1\" viewBox=\"0 0 295 68\" width=\"295px\" zoomAndPan=\"magnify\"><defs/><g><!--entity Table--><g id=\"elem_Table\"><rect fill=\"#F1F1F1\" height=\"46.2969\" rx=\"2.5\" ry=\"2.5\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"78.5205\" x=\"7\" y=\"7\"/><rect fill=\"#F1F1F1\" height=\"10\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"15\" x=\"65.5205\" y=\"12\"/><rect fill=\"#F1F1F1\" height=\"2\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"4\" x=\"63.5205\" y=\"14\"/><rect fill=\"#F1F1F1\" height=\"2\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"4\" x=\"63.5205\" y=\"18\"/><text fill=\"#000000\" font-family=\"sans-serif\" font-size=\"14\" lengthAdjust=\"spacing\" textLength=\"38.5205\" x=\"22\" y=\"39.9951\">Table</text></g><!--entity DataFlow--><g id=\"elem_DataFlow\"><ellipse cx=\"129.26\" cy=\"30.15\" fill=\"#F1F1F1\" rx=\"8\" ry=\"8\" style=\"stroke:#181818;stroke-width:0.5;\"/><text fill=\"#000000\" font-family=\"sans-serif\" font-size=\"14\" lengthAdjust=\"spacing\" textLength=\"65.3857\" x=\"96.5671\" y=\"60.1451\">DataFlow</text></g><!--entity ScatterPlot--><g id=\"elem_ScatterPlot\"><rect fill=\"#F1F1F1\" height=\"46.2969\" rx=\"2.5\" ry=\"2.5\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"116.8975\" x=\"172.81\" y=\"7\"/><rect fill=\"#F1F1F1\" height=\"10\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"15\" x=\"269.7075\" y=\"12\"/><rect fill=\"#F1F1F1\" height=\"2\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"4\" x=\"267.7075\" y=\"14\"/><rect fill=\"#F1F1F1\" height=\"2\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"4\" x=\"267.7075\" y=\"18\"/><text fill=\"#000000\" font-family=\"sans-serif\" font-size=\"14\" lengthAdjust=\"spacing\" textLength=\"76.8975\" x=\"187.81\" y=\"39.9951\">ScatterPlot</text></g><!--link Table to DataFlow--><g id=\"link_Table_DataFlow\"><path d=\"M85.81,30.15 C97.24,30.15 98.67,30.15 110.1,30.15 \" fill=\"none\" id=\"Table-to-DataFlow\" style=\"stroke:#181818;stroke-width:1.0;\"/><path d=\"M117.0218,21.6928 A9,9 0 0 0 117.0218 38.6072\" fill=\"none\" style=\"stroke:#181818;stroke-width:1.5;\"/></g><!--link DataFlow to ScatterPlot--><g id=\"link_DataFlow_ScatterPlot\"><path d=\"M138.42,30.15 C149.79,30.15 161.15,30.15 172.51,30.15 \" fill=\"none\" id=\"DataFlow-ScatterPlot\" style=\"stroke:#181818;stroke-width:1.0;\"/></g><!--SRC=[Ymv9JCf9ZLNGrL1mIIn9TCl9BrVWWhDq5QA3anDBIbAB0dBoIs81]--></g></svg>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.SVG object>"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "%%plantuml\n",
+    "\n",
+    "@startuml\n",
+    "[Table] -( DataFlow \n",
+    "DataFlow - [ScatterPlot]\n",
+    "@enduml"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "d40a6963-3e70-4fb5-8236-28d15a32d94b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Create instances\n",
+    "table_intake = Table('intake-person-demo(potato-chips).csv')\n",
+    "scatter_plot = ScatterPlot('age', 'intake_bw', 'Age vs. Intake BW for Potato Chips')\n",
+    "\n",
+    "# Connect the ScatterPlot to the DataLoader\n",
+    "table_intake.connect(scatter_plot)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/componentization/w10-intake-potatos-step03.ipynb b/notebooks/componentization/w10-intake-potatos-step03.ipynb
new file mode 100644
index 00000000..e0d54836
--- /dev/null
+++ b/notebooks/componentization/w10-intake-potatos-step03.ipynb
@@ -0,0 +1,238 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "01518c27-3ca5-4a74-ba5b-62bf9007b386",
+   "metadata": {},
+   "source": [
+    "# Passo a Passo de um Componente"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "feb9af66-7a33-4807-90f8-9aa546091f48",
+   "metadata": {},
+   "source": [
+    "Importando o PlantUML para construir os diagramas"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "fbd474e5-f332-4400-8c87-23e0330145f3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import iplantuml"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "691ef294-0ca0-4dec-993c-371ab013a597",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Writing output for /home/santanche/git/component2learn/notebooks/componentization/d6fdec24-eb91-4871-bb99-39b905eb494b.uml to d6fdec24-eb91-4871-bb99-39b905eb494b.svg\n"
+     ]
+    },
+    {
+     "data": {
+      "image/svg+xml": [
+       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" contentStyleType=\"text/css\" height=\"155px\" preserveAspectRatio=\"none\" style=\"width:179px;height:155px;background:#FFFFFF;\" version=\"1.1\" viewBox=\"0 0 179 155\" width=\"179px\" zoomAndPan=\"magnify\"><defs/><g><!--cluster Table--><g id=\"cluster_Table\"><rect fill=\"none\" height=\"121\" rx=\"2.5\" ry=\"2.5\" style=\"stroke:#181818;stroke-width:1.0;\" width=\"73\" x=\"7\" y=\"7\"/><rect fill=\"none\" height=\"10\" style=\"stroke:#181818;stroke-width:1.0;\" width=\"15\" x=\"60\" y=\"12\"/><rect fill=\"none\" height=\"2\" style=\"stroke:#181818;stroke-width:1.0;\" width=\"4\" x=\"58\" y=\"14\"/><rect fill=\"none\" height=\"2\" style=\"stroke:#181818;stroke-width:1.0;\" width=\"4\" x=\"58\" y=\"18\"/><text fill=\"#000000\" font-family=\"sans-serif\" font-size=\"14\" font-weight=\"bold\" lengthAdjust=\"spacing\" textLength=\"43.3125\" x=\"21.8438\" y=\"32.9951\">Table</text></g><text fill=\"#000000\" font-family=\"sans-serif\" font-size=\"14\" lengthAdjust=\"spacing\" textLength=\"60.1494\" x=\"31.9253\" y=\"146.9951\">file_path</text><rect fill=\"#F1F1F1\" height=\"12\" style=\"stroke:#181818;stroke-width:1.5;\" width=\"12\" x=\"56\" y=\"122\"/><!--entity DataFlow--><g id=\"elem_DataFlow\"><ellipse cx=\"140\" cy=\"40.5\" fill=\"#F1F1F1\" rx=\"8\" ry=\"8\" style=\"stroke:#181818;stroke-width:0.5;\"/><text fill=\"#000000\" font-family=\"sans-serif\" font-size=\"14\" lengthAdjust=\"spacing\" textLength=\"65.3857\" x=\"107.3071\" y=\"70.4951\">DataFlow</text></g><!--link Table to DataFlow--><g id=\"link_Table_DataFlow\"><path d=\"M90.93,40.5 C104.22,40.5 107.51,40.5 120.8,40.5 \" fill=\"none\" id=\"Table-to-DataFlow\" style=\"stroke:#181818;stroke-width:1.0;\"/><path d=\"M127.7218,32.0428 A9,9 0 0 0 127.7218 48.9572\" fill=\"none\" style=\"stroke:#181818;stroke-width:1.5;\"/></g><!--SRC=[IyxFBSZFIyqhKGX9JCf9LQZcKW22WloYalpI4eMqp9pK-8B4aWokMYw8lAw6WajYIQ9RJduv0000]--></g></svg>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.SVG object>"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "%%plantuml\n",
+    "\n",
+    "@startuml\n",
+    "component Table {\n",
+    "    portout file_path\n",
+    "}\n",
+    "Table -( DataFlow\n",
+    "@enduml"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "0006061c-2c6b-451b-9a9c-763306c7cc89",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "class Table:\n",
+    "    def __init__(self, file_path = None):\n",
+    "        self._file_path = None\n",
+    "        self._data = None\n",
+    "        self._connected = None\n",
+    "        if file_path is not None:\n",
+    "            self.file_path = file_path\n",
+    "\n",
+    "    @property\n",
+    "    def file_path(self):\n",
+    "        return self._file_path\n",
+    "\n",
+    "    @file_path.setter\n",
+    "    def file_path(self, value):\n",
+    "        self._file_path = value\n",
+    "        self._data = pd.read_csv(self._file_path)\n",
+    "        if self._connected is not None:\n",
+    "            self._connected(self._data)\n",
+    "\n",
+    "    def connect(self, component):\n",
+    "        self._connected = component\n",
+    "        if self._data is not None:\n",
+    "            self._connected.update(self._data) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "c1b6b3af-23de-4d12-8033-0f71cfe555c5",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Writing output for /home/santanche/git/component2learn/notebooks/componentization/c145a9d1-b129-44e4-953b-555a1a478262.uml to c145a9d1-b129-44e4-953b-555a1a478262.svg\n"
+     ]
+    },
+    {
+     "data": {
+      "image/svg+xml": [
+       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" contentStyleType=\"text/css\" height=\"143px\" preserveAspectRatio=\"none\" style=\"width:195px;height:143px;background:#FFFFFF;\" version=\"1.1\" viewBox=\"0 0 195 143\" width=\"195px\" zoomAndPan=\"magnify\"><defs/><g><!--cluster ScatterPlot--><g id=\"cluster_ScatterPlot\"><rect fill=\"none\" height=\"109\" rx=\"2.5\" ry=\"2.5\" style=\"stroke:#181818;stroke-width:1.0;\" width=\"130\" x=\"59.6929\" y=\"7\"/><rect fill=\"none\" height=\"10\" style=\"stroke:#181818;stroke-width:1.0;\" width=\"15\" x=\"169.6929\" y=\"12\"/><rect fill=\"none\" height=\"2\" style=\"stroke:#181818;stroke-width:1.0;\" width=\"4\" x=\"167.6929\" y=\"14\"/><rect fill=\"none\" height=\"2\" style=\"stroke:#181818;stroke-width:1.0;\" width=\"4\" x=\"167.6929\" y=\"18\"/><text fill=\"#000000\" font-family=\"sans-serif\" font-size=\"14\" font-weight=\"bold\" lengthAdjust=\"spacing\" textLength=\"88.9834\" x=\"80.2012\" y=\"32.9951\">ScatterPlot</text></g><text fill=\"#000000\" font-family=\"sans-serif\" font-size=\"14\" lengthAdjust=\"spacing\" textLength=\"38.4932\" x=\"58.4463\" y=\"134.9951\">xfield</text><rect fill=\"#F1F1F1\" height=\"12\" style=\"stroke:#181818;stroke-width:1.5;\" width=\"12\" x=\"71.6929\" y=\"110\"/><text fill=\"#000000\" font-family=\"sans-serif\" font-size=\"14\" lengthAdjust=\"spacing\" textLength=\"38.4932\" x=\"105.4463\" y=\"134.9951\">yfield</text><rect fill=\"#F1F1F1\" height=\"12\" style=\"stroke:#181818;stroke-width:1.5;\" width=\"12\" x=\"118.6929\" y=\"110\"/><text fill=\"#000000\" font-family=\"sans-serif\" font-size=\"14\" lengthAdjust=\"spacing\" textLength=\"27.3711\" x=\"158.0073\" y=\"134.9951\">title</text><rect fill=\"#F1F1F1\" height=\"12\" style=\"stroke:#181818;stroke-width:1.5;\" width=\"12\" x=\"165.6929\" y=\"110\"/><!--entity DataFlow--><g id=\"elem_DataFlow\"><ellipse cx=\"38.6929\" cy=\"40.5\" fill=\"#F1F1F1\" rx=\"8\" ry=\"8\" style=\"stroke:#181818;stroke-width:0.5;\"/><text fill=\"#000000\" font-family=\"sans-serif\" font-size=\"14\" lengthAdjust=\"spacing\" textLength=\"65.3857\" x=\"6\" y=\"70.4951\">DataFlow</text></g><!--link DataFlow to ScatterPlot--><g id=\"link_DataFlow_ScatterPlot\"><path d=\"M48.1629,40.5 C51.4404,40.5 54.7179,40.5 57.9954,40.5 C58.4051,40.5 58.8147,40.5 59.2244,40.5 C59.3269,40.5 59.4293,40.5 59.5317,40.5 C59.5829,40.5 59.6341,40.5 59.6853,40.5 \" fill=\"none\" id=\"DataFlow-ScatterPlot\" style=\"stroke:#181818;stroke-width:1.0;\"/></g><!--SRC=[IyxFBSZFIyqhKGXEJYmfIIqAoCalKQZcKW22WloYalpI4eMAjCpKd1GKeKfCePBCafnKhbekbyIIHBUS_785NMGZ0G00]--></g></svg>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.SVG object>"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "%%plantuml\n",
+    "\n",
+    "@startuml\n",
+    "component ScatterPlot {\n",
+    "    portout xfield\n",
+    "    portout yfield\n",
+    "    portout title\n",
+    "}\n",
+    "DataFlow - ScatterPlot\n",
+    "@enduml"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "186d1426-70dc-4554-82e8-7eaabc4a44fb",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Writing output for /home/santanche/git/component2learn/notebooks/componentization/709a8746-6916-4fbb-a757-fb1c815fc524.uml to 709a8746-6916-4fbb-a757-fb1c815fc524.svg\n"
+     ]
+    },
+    {
+     "data": {
+      "image/svg+xml": [
+       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" contentStyleType=\"text/css\" height=\"68px\" preserveAspectRatio=\"none\" style=\"width:295px;height:68px;background:#FFFFFF;\" version=\"1.1\" viewBox=\"0 0 295 68\" width=\"295px\" zoomAndPan=\"magnify\"><defs/><g><!--entity Table--><g id=\"elem_Table\"><rect fill=\"#F1F1F1\" height=\"46.2969\" rx=\"2.5\" ry=\"2.5\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"78.5205\" x=\"7\" y=\"7\"/><rect fill=\"#F1F1F1\" height=\"10\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"15\" x=\"65.5205\" y=\"12\"/><rect fill=\"#F1F1F1\" height=\"2\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"4\" x=\"63.5205\" y=\"14\"/><rect fill=\"#F1F1F1\" height=\"2\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"4\" x=\"63.5205\" y=\"18\"/><text fill=\"#000000\" font-family=\"sans-serif\" font-size=\"14\" lengthAdjust=\"spacing\" textLength=\"38.5205\" x=\"22\" y=\"39.9951\">Table</text></g><!--entity DataFlow--><g id=\"elem_DataFlow\"><ellipse cx=\"129.26\" cy=\"30.15\" fill=\"#F1F1F1\" rx=\"8\" ry=\"8\" style=\"stroke:#181818;stroke-width:0.5;\"/><text fill=\"#000000\" font-family=\"sans-serif\" font-size=\"14\" lengthAdjust=\"spacing\" textLength=\"65.3857\" x=\"96.5671\" y=\"60.1451\">DataFlow</text></g><!--entity ScatterPlot--><g id=\"elem_ScatterPlot\"><rect fill=\"#F1F1F1\" height=\"46.2969\" rx=\"2.5\" ry=\"2.5\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"116.8975\" x=\"172.81\" y=\"7\"/><rect fill=\"#F1F1F1\" height=\"10\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"15\" x=\"269.7075\" y=\"12\"/><rect fill=\"#F1F1F1\" height=\"2\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"4\" x=\"267.7075\" y=\"14\"/><rect fill=\"#F1F1F1\" height=\"2\" style=\"stroke:#181818;stroke-width:0.5;\" width=\"4\" x=\"267.7075\" y=\"18\"/><text fill=\"#000000\" font-family=\"sans-serif\" font-size=\"14\" lengthAdjust=\"spacing\" textLength=\"76.8975\" x=\"187.81\" y=\"39.9951\">ScatterPlot</text></g><!--link Table to DataFlow--><g id=\"link_Table_DataFlow\"><path d=\"M85.81,30.15 C97.24,30.15 98.67,30.15 110.1,30.15 \" fill=\"none\" id=\"Table-to-DataFlow\" style=\"stroke:#181818;stroke-width:1.0;\"/><path d=\"M117.0218,21.6928 A9,9 0 0 0 117.0218 38.6072\" fill=\"none\" style=\"stroke:#181818;stroke-width:1.5;\"/></g><!--link DataFlow to ScatterPlot--><g id=\"link_DataFlow_ScatterPlot\"><path d=\"M138.42,30.15 C149.79,30.15 161.15,30.15 172.51,30.15 \" fill=\"none\" id=\"DataFlow-ScatterPlot\" style=\"stroke:#181818;stroke-width:1.0;\"/></g><!--SRC=[Ymv9JCf9ZLNGrL1mIIn9TCl9BrVWWhDq5QA3anDBIbAB0dBoIs81]--></g></svg>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.SVG object>"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "%%plantuml\n",
+    "\n",
+    "@startuml\n",
+    "[Table] -( DataFlow \n",
+    "DataFlow - [ScatterPlot]\n",
+    "@enduml"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "d40a6963-3e70-4fb5-8236-28d15a32d94b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Create instances\n",
+    "table_intake = Table()\n",
+    "table_intake.file_path = 'intake-person-demo(potato-chips).csv'\n",
+    "\n",
+    "scatter_plot = ScatterPlot()\n",
+    "scatter_plot.xfield = 'age'\n",
+    "scatter_plot.yfield = 'intake_bw'\n",
+    "scatter_plot.title = 'Age vs. Intake BW for Potato Chips'\n",
+    "\n",
+    "# Connect the ScatterPlot to the DataLoader\n",
+    "table_intake.connect(scatter_plot)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b671d874-8d94-4d11-8640-f7987cdfc244",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}