18- Exercise - Creating new variables.ipynb

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    "'''\n",
    "Creating new variable\n",
    "Write this code first to create a new dataframe:\n",
    "\n",
    "import pandas as pd\n",
    " \n",
    "# Create a new DataFrame with revenue and cost variables\n",
    "data = {\n",
    "    'product_id': [101, 102, 103, 104, 105],\n",
    "    'revenue': [50000, 60000, 55000, 80000, 70000],\n",
    "    'cost': [30000, 35000, 40000, 45000, 40000]\n",
    "}\n",
    " \n",
    "df = pd.DataFrame(data)\n",
    "\n",
    "Then, create a new variable Profit.\n",
    "'''"
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      "\n",
      "DataFrame with Profit Variable:\n",
      "   product_id  revenue   cost  profit\n",
      "0         101    50000  30000   20000\n",
      "1         102    60000  35000   25000\n",
      "2         103    55000  40000   15000\n",
      "3         104    80000  45000   35000\n",
      "4         105    70000  40000   30000\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# Create a new DataFrame with revenue and cost variables\n",
    "data = {\n",
    "    'product_id': [101, 102, 103, 104, 105],\n",
    "    'revenue': [50000, 60000, 55000, 80000, 70000],\n",
    "    'cost': [30000, 35000, 40000, 45000, 40000]\n",
    "}\n",
    "\n",
    "df = pd.DataFrame(data)\n",
    "\n",
    "# Create a new variable 'Profit' by subtracting 'cost' from 'revenue'\n",
    "df['profit'] = df['revenue'] - df['cost']\n",
    "\n",
    "print(\"\\nDataFrame with Profit Variable:\")\n",
    "print(df)"
   ]
  }
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