Upload excel_handling_guide.ipynb

pages/excel_handling_guide.ipynb

@@ -0,0 +1,253 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "985f02de",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Employee Name</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Department</th>\n",
+       "      <th>Salary</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>John</td>\n",
+       "      <td>31</td>\n",
+       "      <td>HR</td>\n",
+       "      <td>108189</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Alice</td>\n",
+       "      <td>39</td>\n",
+       "      <td>Engineering</td>\n",
+       "      <td>100371</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Bob</td>\n",
+       "      <td>52</td>\n",
+       "      <td>Marketing</td>\n",
+       "      <td>90333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Carol</td>\n",
+       "      <td>29</td>\n",
+       "      <td>Sales</td>\n",
+       "      <td>69356</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>David</td>\n",
+       "      <td>25</td>\n",
+       "      <td>Finance</td>\n",
+       "      <td>79835</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  Employee Name  Age   Department  Salary\n",
+       "0          John   31           HR  108189\n",
+       "1         Alice   39  Engineering  100371\n",
+       "2           Bob   52    Marketing   90333\n",
+       "3         Carol   29        Sales   69356\n",
+       "4         David   25      Finance   79835"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import random\n",
+    "import numpy as np\n",
+    "\n",
+    "# Create random data\n",
+    "data = {\n",
+    "    'Employee Name': ['John', 'Alice', 'Bob', 'Carol', 'David'],\n",
+    "    'Age': [random.randint(22, 55) for _ in range(5)],\n",
+    "    'Department': ['HR', 'Engineering', 'Marketing', 'Sales', 'Finance'],\n",
+    "    'Salary': [random.randint(50000, 120000) for _ in range(5)]\n",
+    "}\n",
+    "\n",
+    "# Convert to DataFrame\n",
+    "df = pd.DataFrame(data)\n",
+    "\n",
+    "# Save to Excel\n",
+    "df.to_excel('employee_data.xlsx', index=False)\n",
+    "\n",
+    "# Save to CSV\n",
+    "df.to_csv('employee_data.csv', index=False)\n",
+    "\n",
+    "# Display the created DataFrame\n",
+    "df\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "e6b3ffce",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Excel Data:\n",
+      "  Employee Name  Age   Department  Salary\n",
+      "0          John   45           HR   68212\n",
+      "1         Alice   26  Engineering   84012\n",
+      "2           Bob   39    Marketing  111842\n",
+      "3         Carol   31        Sales   96286\n",
+      "4         David   52      Finance  115640\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Reading the Excel file\n",
+    "df_excel = pd.read_excel('employee_data.xlsx')\n",
+    "\n",
+    "# Display the DataFrame\n",
+    "print(\"Excel Data:\")\n",
+    "print(df_excel)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "5c83abd8",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CSV Data:\n",
+      "  Employee Name  Age   Department  Salary\n",
+      "0          John   45           HR   68212\n",
+      "1         Alice   26  Engineering   84012\n",
+      "2           Bob   39    Marketing  111842\n",
+      "3         Carol   31        Sales   96286\n",
+      "4         David   52      Finance  115640\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Reading the CSV file\n",
+    "df_csv = pd.read_csv('employee_data.csv')\n",
+    "\n",
+    "# Display the DataFrame\n",
+    "print(\"CSV Data:\")\n",
+    "print(df_csv)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "fe7dc33a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Excel Data Loaded Successfully\n",
+      "  Employee Name  Age   Department  Salary\n",
+      "0          John   45           HR   68212\n",
+      "1         Alice   26  Engineering   84012\n",
+      "2           Bob   39    Marketing  111842\n",
+      "3         Carol   31        Sales   96286\n",
+      "4         David   52      Finance  115640\n",
+      "CSV Data Loaded Successfully\n",
+      "  Employee Name  Age   Department  Salary\n",
+      "0          John   45           HR   68212\n",
+      "1         Alice   26  Engineering   84012\n",
+      "2           Bob   39    Marketing  111842\n",
+      "3         Carol   31        Sales   96286\n",
+      "4         David   52      Finance  115640\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Try reading the Excel file\n",
+    "try:\n",
+    "    df_excel = pd.read_excel('employee_data.xlsx')\n",
+    "    print(\"Excel Data Loaded Successfully\")\n",
+    "    print(df_excel)\n",
+    "except FileNotFoundError:\n",
+    "    print(\"Error: Excel file not found!\")\n",
+    "except Exception as e:\n",
+    "    print(f\"Error loading Excel file: {e}\")\n",
+    "\n",
+    "# Try reading the CSV file\n",
+    "try:\n",
+    "    df_csv = pd.read_csv('employee_data.csv')\n",
+    "    print(\"CSV Data Loaded Successfully\")\n",
+    "    print(df_csv)\n",
+    "except FileNotFoundError:\n",
+    "    print(\"Error: CSV file not found!\")\n",
+    "except Exception as e:\n",
+    "    print(f\"Error loading CSV file: {e}\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2543edf6",
+   "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": "3.11.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}