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    "# Regiment"
   ]
  },
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   "source": [
    "### Introduction:\n",
    "\n",
    "Special thanks to: http://chrisalbon.com/ for sharing the dataset and materials.\n",
    "\n",
    "### Step 1. Import the necessary libraries"
   ]
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    "### Step 2. Create the DataFrame with the following values:"
   ]
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    "raw_data = {'regiment': ['Nighthawks', 'Nighthawks', 'Nighthawks', 'Nighthawks', 'Dragoons', 'Dragoons', 'Dragoons', 'Dragoons', 'Scouts', 'Scouts', 'Scouts', 'Scouts'], \n",
    "        'company': ['1st', '1st', '2nd', '2nd', '1st', '1st', '2nd', '2nd','1st', '1st', '2nd', '2nd'], \n",
    "        'name': ['Miller', 'Jacobson', 'Ali', 'Milner', 'Cooze', 'Jacon', 'Ryaner', 'Sone', 'Sloan', 'Piger', 'Riani', 'Ali'], \n",
    "        'preTestScore': [4, 24, 31, 2, 3, 4, 24, 31, 2, 3, 2, 3],\n",
    "        'postTestScore': [25, 94, 57, 62, 70, 25, 94, 57, 62, 70, 62, 70]}"
   ]
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   "cell_type": "markdown",
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   "source": [
    "### Step 3. Assign it to a variable called regiment.\n",
    "#### Don't forget to name each column"
   ]
  },
  {
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   "execution_count": null,
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   "source": [
    "### Step 4. What is the mean preTestScore from the regiment Nighthawks?  "
   ]
  },
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   "source": [
    "### Step 5. Present general statistics by company"
   ]
  },
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   "execution_count": null,
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   "source": [
    "### Step 6. What is the mean each company's preTestScore?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
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   "source": [
    "### Step 7. Present the mean preTestScores grouped by regiment and company"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 8. Present the mean preTestScores grouped by regiment and company without heirarchical indexing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
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   "outputs": [],
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 9. Group the entire dataframe by regiment and company"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
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   "source": [
    "### Step 10. What is the number of observations in each regiment and company"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
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   "outputs": [],
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  {
   "cell_type": "markdown",
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   "source": [
    "### Step 11. Iterate over a group and print the name and the whole data from the regiment"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
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   "outputs": [],
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