add imports and change title

Author: lukebarousse

4_Problems/1_23_Pandas Intro.ipynb

@@ -24,14 +24,7 @@
    "id": "d8ec0631",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "# Code Needed\n",
-    "import pandas as pd\n",
-    "from datasets import load_dataset\n",
-    "\n",
-    "dataset = load_dataset('lukebarousse/data_jobs')\n",
-    "df = dataset['train'].to_pandas()"
-   ]
+   "source": []
   },
   {
    "cell_type": "markdown",
@@ -52,17 +45,10 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "b38398db",
+   "id": "9062f032",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "# Code Needed\n",
-    "import pandas as pd\n",
-    "from datasets import load_dataset\n",
-    "\n",
-    "dataset = load_dataset('lukebarousse/data_jobs')\n",
-    "df = dataset['train'].to_pandas()"
-   ]
+   "source": []
   },
   {
    "cell_type": "markdown",
@@ -83,17 +69,10 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5cb42708",
+   "id": "3b544269",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "# Code Needed\n",
-    "import pandas as pd\n",
-    "from datasets import load_dataset\n",
-    "\n",
-    "dataset = load_dataset('lukebarousse/data_jobs')\n",
-    "df = dataset['train'].to_pandas()"
-   ]
+   "source": []
   },
   {
    "cell_type": "markdown",
@@ -114,17 +93,10 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "26ca8c00",
+   "id": "3240778d",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "# Code Needed\n",
-    "import pandas as pd\n",
-    "from datasets import load_dataset\n",
-    "\n",
-    "dataset = load_dataset('lukebarousse/data_jobs')\n",
-    "df = dataset['train'].to_pandas()"
-   ]
+   "source": []
   },
   {
    "cell_type": "markdown",
@@ -135,7 +107,11 @@
    ]
   }
  ],
- "metadata": {},
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
  "nbformat": 4,
  "nbformat_minor": 5
 }

4_Problems/1_24_Pandas Inspection.ipynb

@@ -10,6 +10,28 @@
     "</a>"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "169fd3c4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "from datasets import load_dataset\n",
+    "\n",
+    "dataset = load_dataset('lukebarousse/data_jobs')\n",
+    "df = dataset['train'].to_pandas()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "31c4c666",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "dcd73f36",
@@ -107,7 +129,25 @@
    ]
   }
  ],
- "metadata": {},
+ "metadata": {
+  "kernelspec": {
+   "display_name": "python_course",
+   "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": "3.1.-1"
+  }
+ },
  "nbformat": 4,
  "nbformat_minor": 5
 }

4_Problems/1_25_Pandas Cleaning.ipynb

@@ -10,6 +10,28 @@
     "</a>"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "23abf27f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "from datasets import load_dataset\n",
+    "\n",
+    "dataset = load_dataset('lukebarousse/data_jobs')\n",
+    "df = dataset['train'].to_pandas()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "64ba78f2",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "932400b4",
@@ -107,7 +129,11 @@
    ]
   }
  ],
- "metadata": {},
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
  "nbformat": 4,
  "nbformat_minor": 5
 }

4_Problems/1_26_Pandas Analysis.ipynb

@@ -10,6 +10,28 @@
     "</a>"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "eefc52a1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "from datasets import load_dataset\n",
+    "\n",
+    "dataset = load_dataset('lukebarousse/data_jobs')\n",
+    "df = dataset['train'].to_pandas()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7844af8b",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "5d733348",
@@ -63,7 +85,7 @@
    "id": "055273e7",
    "metadata": {},
    "source": [
-    "## 🟨 Average Salary by Job Title (1.26.3)"
+    "## 🟨 Average Hourly Salary by Job Title (1.26.3)"
    ]
   },
   {
@@ -131,7 +153,25 @@
    ]
   }
  ],
- "metadata": {},
+ "metadata": {
+  "kernelspec": {
+   "display_name": "python_course",
+   "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": "3.11.9"
+  }
+ },
  "nbformat": 4,
  "nbformat_minor": 5
 }