Section_6_Homework_Fill_in_the_blanks.ipynb

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  {
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   "metadata": {},
   "source": [
    "### Section 6 Homework - Fill in the blanks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import the packages needed to perform the analysis"
   ]
  },
  {
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   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": [
    "# Import the data\n",
    "mov = pd._('Section6-Homework-Data.csv', encoding = 'latin1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Explore the dataset\n",
    "mov._()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Check the summary of the dataframe\n",
    "mov._()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Check the structure of the dataframe\n",
    "mov._()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Explore the categorical variable Studio, used in the assignment\n",
    "mov.Studio._()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Explore the categorical variable Studio, used in the assignment\n",
    "mov.Genre._()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Filter the dataframe by genre\n",
    "mov2 = mov[(mov._ == 'action') | (mov._ == 'adventure') | (mov._ == 'animation') | (mov._ == 'comedy') | (mov._ == 'drama')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Filter the dataframe by studio\n",
    "mov3 = mov2[(mov2._ == 'Buena Vista Studios') | (mov2._ == 'Fox') | (mov2._ == 'Paramount Pictures') | (mov2._ == 'Sony') | (mov2._ == 'Universal') | (mov2._ == 'WB')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Check how the filters worked\n",
    "print (_.Genre.unique())\n",
    "print (_.Studio.unique())\n",
    "print (len(_))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Define the style\n",
    "_.set(style=\"darkgrid\", palette=\"muted\", color_codes=True)\n",
    "\n",
    "# Plot the boxsplots\n",
    "ax = sns._(data=_, x='_', y='_', orient='v', color='lightgray', showfliers=False)\n",
    "plt.setp(ax.artists, alpha=0.5)\n",
    "\n",
    "# Add in points to show each observation\n",
    "_.stripplot(x='_', y='_', data=_, jitter=True, size=6, linewidth=0, hue = 'Studio', alpha=0.7)\n",
    "\n",
    "ax.axes.set_title('_',fontsize=30)\n",
    "ax.set_xlabel('_',fontsize=20)\n",
    "ax.set_ylabel('_',fontsize=20)\n",
    "\n",
    "# Define where to place the legend\n",
    "ax.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)"
   ]
  }
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