F22 EPSY5122 PFSSR Week11.ipynb

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    "# EPSY 5122: Programming for Social Science Researchers\n",
    "## Week 11\n",
    "### Wednesday, November 16, 2022"
   ]
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   "source": [
    "import numpy.random as npr\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import scipy.stats as stats\n",
    "import statsmodels.formula.api as smf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "source": [
    "mov = pd.read_csv('tmdb_5000_movies.csv')"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": [
    "mov.head()"
   ]
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   "source": [
    "**Challenge 1**: *Find the descriptive stats for each numeric column.*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# challenge 1 code here"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Challenge 2**: *: Find which columns have missing data (and how many missing data)*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# challenge 2 code here"
   ]
  }
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