JSC270_Assignment2_starter_code.ipynb

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    {
      "cell_type": "markdown",
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      "source": [
        "###Libraries you'll likely need"
      ]
    },
    {
      "cell_type": "code",
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      "source": [
        "import pandas as pd\r\n",
        "import numpy as np\r\n",
        "import matplotlib.pyplot as plt\r\n",
        "import seaborn as sns\r\n",
        "from scipy import stats\r\n",
        "import statsmodels.api as sm\r\n",
        "import statsmodels.formula.api as smf"
      ],
      "execution_count": null,
      "outputs": []
    },
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        ""
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    {
      "cell_type": "markdown",
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      "source": [
        "###Importing data"
      ]
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      "cell_type": "code",
      "metadata": {
        "id": "f3jscp2H3Yqm"
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      "source": [
        "income94 = pd.read_csv('https://archive.ics.uci.edu/ml/machine-learning-databases/adult/adult.data', header=None)\r\n",
        "income94.columns = ['age','workclass', 'fnlwgt','education','education_num','marital_status','occupation',\r\n",
        "                    'relationship','race','sex','capital_gain','capital_loss','hours_per_week','native_country','gross_income_group']"
      ],
      "execution_count": null,
      "outputs": []
    }
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