initial commit

.vscode/settings.json

@@ -1,6 +1,9 @@
 {
-    "editor.defaultFormatter": "esbenp.prettier-vscode",
-    "workbench.editorAssociations": {   
-        "*.md": "vscode.markdown.preview.editor"
-    }
-}
+  "editor.defaultFormatter": "esbenp.prettier-vscode",
+  "workbench.editorAssociations": {
+    "*.md": "vscode.markdown.preview.editor"
+  },
+  "files.autoSave": "afterDelay",
+  "files.autoSaveDelay": 700,
+  "editor.minimap.enabled": false
+}

learn.json

@@ -1,10 +1,10 @@
 {
     "language": "python3",
-    "slug": "realestate-datacleanup-exercise",
-    "title": "Real Estate Data Cleanup",
-    "repository": "https://github.com/4GeeksAcademy/realstate-datacleanup-exercise",
-    "preview": "https://github.com/4GeeksAcademy/realestate-datacleanup-exercise/blob/main/assets/preview.jpeg?raw=true",
-    "description": "Prepare a real dataset to later train a machine learning model",
+    "slug": "final-data-science-prework-project",
+    "title": "Final data science prework project",
+    "repository": "https://github.com/4GeeksAcademy/final-data-science-prework-project",
+    "preview": "https://github.com/4GeeksAcademy/final-data-science-prework-project/blob/main/assets/preview.jpeg?raw=true",
+    "description": "This project is designed to teach how to handle real-world data in a basic data science workflow, such as cleaning, processing, and visualizing a dataset using key tools like Pandas.",
     "duration": 3,
     "difficulty": "easy",
     "projectType": "project",