dictionary_to_csv_system.ipynb

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    "import pandas as pd\n",
    "\n",
    "def dict_to_csv(data_dict, file_name):\n",
    "    \"\"\"\n",
    "    Function to convert dictionary to a CSV file following the Tidy Data principles.\n",
    "\n",
    "    :param data_dict: A dictionary containing the data to be written to CSV.\n",
    "    :param file_name: The name of the CSV file to be created.\n",
    "    \"\"\"\n",
    "\n",
    "    # Convert dictionary to DataFrame\n",
    "    df = pd.DataFrame(data_dict)\n",
    "\n",
    "    # Apply Tidy Data principles\n",
    "    # Each variable must have its own column.\n",
    "    # Each observation must have its own row.\n",
    "    # Each type of observational unit forms a table.\n",
    "    # In most cases, data in a dictionary are already in a tidy form\n",
    "    #df = df.melt(id_vars=[], value_vars=df.columns)\n",
    "\n",
    "    # Write DataFrame to CSV\n",
    "    df.to_csv(file_name, index=False)\n",
    "\n",
    "    \n",
    "if __name__ == \"__main__\":\n",
    "    # example dictionary used for testing\n",
    "    data_dict = {\n",
    "        'name': ['John', 'Anna', 'Peter', 'Linda'],\n",
    "        'age': [28, 22, 34, 41],\n",
    "        'city': ['New York', 'Los Angeles', 'Chicago', 'San Francisco']\n",
    "    }\n",
    "\n",
    "    dict_to_csv(data_dict, 'tidy_data.csv')"
   ]
  }
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