I am not done with the argument project, but I've hit a barrier. I keep getting error

messages. Getting a bit frustrated tonight, so I'm takaing a break.

.ipynb_checkpoints/argument-checkpoint.ipynb

@@ -0,0 +1,419 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "worldwide-blood",
+   "metadata": {},
+   "source": [
+    "# Introduction"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "understanding-numbers",
+   "metadata": {},
+   "source": [
+    "*✏️ Write 2-3 sentences describing your research.*"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "16a88343-24ed-4a92-ae55-6cfd5d6b0eda",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#I am going to extract the first 15 rows from Fast_Food_dataset and analyze which foods wood be the better options if eating at one of these restaurants"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "greater-circular",
+   "metadata": {},
+   "source": [
+    "## Overarching Question: [✏️ PUT YOUR QUESTION HERE ✏️]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "appreciated-testimony",
+   "metadata": {},
+   "source": [
+    "*✏️ Write 2-3 sentences explaining why this question.*"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5c1d1224-0292-4205-800f-ce0c75316075",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Overarching Question: Are there healthy options at fast food restaurants?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "37ad7c41-817d-47ce-9aeb-b3b58b5e7761",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#I chose this question becuase I generally try to eat healthy. Sometimes quick meals are a necesity. I am curious if common fast food restaurants truly offer healthier options "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "permanent-pollution",
+   "metadata": {},
+   "source": [
+    "# Data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "technical-evans",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Include any import statements you will need\n",
+    "\n",
+    "#python\n",
+    "\n",
+    "def pandas(pd):\n",
+    "    import pandas as pd\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "overhead-sigma",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "### 💻 FILL IN YOUR DATASET FILE NAME BELOW 💻 ###\n",
+    "\n",
+    "# Load the dataset\n",
+    "def pandas(pd):\n",
+    "    file_path = 'Fast_Food_Dataset/nutrition.csv'  # Update this with the correct path\n",
+    "    data = pd.read_csv(file_path)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "heated-blade",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "SyntaxError",
+     "evalue": "invalid syntax (1804757086.py, line 1)",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;36m  Cell \u001b[0;32mIn[12], line 1\u001b[0;36m\u001b[0m\n\u001b[0;31m    def data (pd.read_csv):\u001b[0m\n\u001b[0m                ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
+     ]
+    }
+   ],
+   "source": [
+    "#check first 15 rows\n",
+    "def data (read_csv):\n",
+    "    data.head(15)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "continental-franklin",
+   "metadata": {},
+   "source": [
+    "**Data Overview**\n",
+    "This dataset is showing the first 15 rows of Fast_Food_Dataset. It comes from Kaggle.com and contains nutritional information from fast food restaurants.\n",
+    "*✏️ Write 2-3 sentences describing this dataset. Be sure to include where the data comes from and what it contains.*"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "infinite-instrument",
+   "metadata": {},
+   "source": [
+    "# Methods and Results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "basic-canadian",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Import any helper files you need here\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "graduate-palmer",
+   "metadata": {},
+   "source": [
+    "### Methods"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "endless-variation",
+   "metadata": {},
+   "source": [
+    "*Explain how you will approach this research question below. Consider the following:* \n",
+    "  - *Which aspects of the dataset will you use?* \n",
+    "  - *How will you reorganize/store the data?* \n",
+    "  - *What data science tools/functions will you use and why?* \n",
+    "  \n",
+    "✏️ *Write your answer below:*\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "44d5cdff-d651-46b8-8ee9-6bd6019c96c8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "I will use rows 1-15 \n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "portuguese-japan",
+   "metadata": {},
+   "source": [
+    "### Results "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "negative-highlight",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'data' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[2], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m#######################################################################\u001b[39;00m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;66;03m#import rows 1-15\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m \u001b[43mdata\u001b[49m\u001b[38;5;241m.\u001b[39mhead()\n\u001b[1;32m      4\u001b[0m \u001b[38;5;66;03m### \u001b[39;00m\n\u001b[1;32m      5\u001b[0m \u001b[38;5;66;03m### Your data analysis may include a statistic and/or a data visualization\u001b[39;00m\n\u001b[1;32m      6\u001b[0m \u001b[38;5;66;03m#######################################################################\u001b[39;00m\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'data' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "#######################################################################\n",
+    "#import rows 1-15\n",
+    "data.head()\n",
+    "### \n",
+    "### Your data analysis may include a statistic and/or a data visualization\n",
+    "#######################################################################"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "victorian-burning",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 💻 YOU CAN ADD NEW CELLS WITH THE \"+\" BUTTON "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "collectible-puppy",
+   "metadata": {},
+   "source": [
+    "## Second Research Question: [✏️ PUT YOUR QUESTION HERE ✏️]\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "demographic-future",
+   "metadata": {},
+   "source": [
+    "### Methods"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "incorporate-roller",
+   "metadata": {},
+   "source": [
+    "*Explain how you will approach this research question below. Consider the following:* \n",
+    "  - *Which aspects of the dataset will you use?* \n",
+    "  - *How will you reorganize/store the data?* \n",
+    "  - *What data science tools/functions will you use and why?* \n",
+    "\n",
+    "✏️ *Write your answer below:*\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "juvenile-creation",
+   "metadata": {},
+   "source": [
+    "### Results "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "pursuant-surrey",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#######################################################################\n",
+    "### 💻 YOUR WORK GOES HERE TO ANSWER THE SECOND RESEARCH QUESTION 💻 \n",
+    "###\n",
+    "### Your data analysis may include a statistic and/or a data visualization\n",
+    "#######################################################################"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "located-night",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 💻 YOU CAN ADD NEW CELLS WITH THE \"+\" BUTTON "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "infectious-symbol",
+   "metadata": {},
+   "source": [
+    "# Discussion"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "furnished-camping",
+   "metadata": {
+    "code_folding": []
+   },
+   "source": [
+    "## Considerations"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bearing-stadium",
+   "metadata": {},
+   "source": [
+    "*It's important to recognize the limitations of our research.\n",
+    "Consider the following:*\n",
+    "\n",
+    "- *Do the results give an accurate depiction of your research question? Why or why not?*\n",
+    "- *What were limitations of your datset?*\n",
+    "- *Are there any known biases in the data?*\n",
+    "\n",
+    "✏️ *Write your answer below:*"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "beneficial-invasion",
+   "metadata": {},
+   "source": [
+    "## Summary"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "about-raise",
+   "metadata": {},
+   "source": [
+    "*Summarize what you discovered through the research. Consider the following:*\n",
+    "\n",
+    "- *What did you learn about your media consumption/digital habits?*\n",
+    "- *Did the results make sense?*\n",
+    "- *What was most surprising?*\n",
+    "- *How will this project impact you going forward?*\n",
+    "\n",
+    "✏️ *Write your answer below:*"
+   ]
+  }
+ ],
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+   "cell_metadata_json": true,
+   "text_representation": {
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+}