improved variable names and fixed wrong code

examples/quickstart.ipynb

@@ -9,11 +9,6 @@
     "This notebook demonstrates how to get started with PandaAI and how to use it to analyze data through natural language."
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -50,7 +45,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "df = pai.read_csv(\"./data/heart.csv\")"
+    "file_df = pai.read_csv(\"./data/heart.csv\")"
    ]
   },
   {
@@ -68,7 +63,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "response = df.chat(\"What is the correlation between age and cholesterol?\")\n",
+    "response = file_df.chat(\"What is the correlation between age and cholesterol?\")\n",
     "print(response)"
    ]
   },
@@ -91,7 +86,7 @@
    "source": [
     "dataset = pai.create(path=\"your-organization/heart\",\n",
     "    name=\"Heart\",\n",
-    "    df = df,\n",
+    "    df = file_df,\n",
     "    description=\"Heart Disease Dataset\")"
    ]
   },

examples/semantic_layer_csv.ipynb

@@ -47,10 +47,10 @@
    "outputs": [],
    "source": [
     "# Load the heart disease dataset\n",
-    "df = pai.read_csv(\"./dataheart.csv\")\n",
+    "file_df = pai.read_csv(\"./dataheart.csv\")\n",
     "\n",
     "# Display the first few rows\n",
-    "df.head()"
+    "file_df.head()"
    ]
   },
   {
@@ -80,10 +80,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "df.save(path=\"organization/heart\",\n",
+    "dataset = pai.create(path=\"organization/heart\",\n",
     "    name=\"Heart\",\n",
     "    description=\"Heart Disease Dataset\",\n",
-    "    df = df,\n",
+    "    df = file_df,\n",
     "    columns=[\n",
     "        {\n",
     "            \"name\": \"Age\",\n",