update readme links

ag-informatics · Oct 31, 2024 · dbd80bf · dbd80bf
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diff --git a/README.md b/README.md
@@ -92,7 +92,7 @@ This course is divided into seven 2 week modules. Each module consists of 4 lect
 | [3 - Data Modeling](https://github.com/ag-informatics/ag-informatics-course/tree/main/module3)    | Week 5 & 6   | Quiz 3, Submit Lab 2, Submit Project Part 1   |
 | [4 - Web Application](https://github.com/ag-informatics/ag-informatics-course/tree/main/module4)  | Week 7 & 8   | Quiz 4, Submit Lab 3                          |
 | [5 - User Interfaces](https://github.com/ag-informatics/ag-informatics-course/tree/main/module5)  | Week 9 & 10  | Quiz 5, Submit Lab 4, Submit Project Part 2   |
-| [6 - Geospatial Data]                                                                             | Week 11 & 12 | Quiz 6, Submit Lab 5                          |
+| [6 - Geospatial Data](https://github.com/ag-informatics/ag-informatics-course/tree/main/module6)  | Week 11 & 12 | Quiz 6, Submit Lab 5                          |
 | [7 - Future of Ag Tech]                                                                           | Week 13 & 14 | Quiz 7, Submit Lab 6                          |
 | [8 - Wrap Up]()                                                                                   | Week 15 & 16 | Submit Lab 7, Present + Submit Project Part 3 |
 

diff --git a/module6/Lecture6.1.html b/module6/Lecture6.1.html
@@ -777,29 +777,8 @@ <h3>License</h3>
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diff --git a/module6/live-demo.ipynb b/module6/live-demo.ipynb
@@ -256,6 +256,28 @@
    "source": [
     "In practical, you will more likely to see a collection of geometry: MultiPoint, MultiLineString, and especially MultiPolygon. These collection data types are just lists of geometry shapes. You can access properties or utilize their functions in the same way as you do with one geometry object.  "
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import geopandas as gpd\n",
+    "from pathlib import Path\n",
+    "\n",
+    "\n",
+    "path = Path('D:/temp')\n",
+    "\n",
+    "gdf = gpd.read_file(path / 'Census_Tracts_with_Population_Estimates_(by_Age_and_Sex)_2021.geojson')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
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  "metadata": {