StataNotebookExample.ipynb

{
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Demonstrate Stata in Jupyter Notebooks\n",
    "\n",
    "More information:\n",
    "\n",
    "https://kylebarron.github.io/stata_kernel/getting_started/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "\n",
      "(1978 Automobile Data)\n"
     ]
    }
   ],
   "source": [
    "set more off\n",
    "clear all\n",
    "set linesize 100\n",
    "sysuse auto"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Contains data from /Applications/Stata/ado/base/a/auto.dta\n",
      "  obs:            74                          1978 Automobile Data\n",
      " vars:            12                          13 Apr 2016 17:45\n",
      " size:         3,182                          (_dta has notes)\n",
      "----------------------------------------------------------------------------------------------------\n",
      "              storage   display    value\n",
      "variable name   type    format     label      variable label\n",
      "----------------------------------------------------------------------------------------------------\n",
      "make            str18   %-18s                 Make and Model\n",
      "price           int     %8.0gc                Price\n",
      "mpg             int     %8.0g                 Mileage (mpg)\n",
      "rep78           int     %8.0g                 Repair Record 1978\n",
      "headroom        float   %6.1f                 Headroom (in.)\n",
      "trunk           int     %8.0g                 Trunk space (cu. ft.)\n",
      "weight          int     %8.0gc                Weight (lbs.)\n",
      "length          int     %8.0g                 Length (in.)\n",
      "turn            int     %8.0g                 Turn Circle (ft.)\n",
      "displacement    int     %8.0g                 Displacement (cu. in.)\n",
      "gear_ratio      float   %6.2f                 Gear Ratio\n",
      "foreign         byte    %8.0g      origin     Car type\n",
      "----------------------------------------------------------------------------------------------------\n",
      "Sorted by: foreign\n"
     ]
    }
   ],
   "source": [
    "desc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Source |       SS           df       MS      Number of obs   =        74\n",
      "-------------+----------------------------------   F(5, 68)        =     31.82\n",
      "       Model |  1711.80587         5  342.361174   Prob > F        =    0.0000\n",
      "    Residual |  731.653589        68  10.7596116   R-squared       =    0.7006\n",
      "-------------+----------------------------------   Adj R-squared   =    0.6785\n",
      "       Total |  2443.45946        73  33.4720474   Root MSE        =    3.2802\n",
      "\n",
      "-------------------------------------------------------------------------------------------\n",
      "                      mpg |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]\n",
      "--------------------------+----------------------------------------------------------------\n",
      "                   weight |  -.0131718   .0047681    -2.76   0.007    -.0226864   -.0036571\n",
      "                          |\n",
      "        c.weight#c.weight |   1.11e-06   7.30e-07     1.52   0.132    -3.44e-07    2.57e-06\n",
      "                          |\n",
      "                  foreign |\n",
      "                 Foreign  |   1.592242   23.34741     0.07   0.946    -44.99679    48.18128\n",
      "                          |\n",
      "         foreign#c.weight |\n",
      "                 Foreign  |  -.0000464   .0184428    -0.00   0.998    -.0368485    .0367557\n",
      "                          |\n",
      "foreign#c.weight#c.weight |\n",
      "                 Foreign  |  -5.63e-07   3.57e-06    -0.16   0.875    -7.68e-06    6.56e-06\n",
      "                          |\n",
      "                    _cons |   50.74551   7.618436     6.66   0.000     35.54315    65.94786\n",
      "-------------------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "reg mpg c.weight##c.weight##i.foreign"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "qui margins, at(weight=(1000(500)4800) foreign=(0 1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      ". marginsplot, noci scheme(lean2wide) title(Predicted margins of miles per gall\n",
      "> on by vehicle weight) ytitle(Miles Per Gallon) xtitle(Vehicle Weight in Pound\n",
      "> s)\n",
      "\n",
      "  Variables that uniquely identify margins: weight foreign\n",
      "\n",
      ". noi gr export /Users/adamnelson/.stata_kernel_cache/graph${stata_kernel_graph\n",
      "> _counter}.svg, width(600) replace        \n"
     ]
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       "\t<text x=\"2160.00\" y=\"167.60\" style=\"font-family:'Helvetica';font-size:94.50px;fill:#000000\" text-anchor=\"middle\">Predicted margins of miles per gallon by vehicle weight</text>\n",
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     "text": [
      "\n",
      "\n",
      ". global stata_kernel_graph_counter = $stata_kernel_graph_counter + 1        \n"
     ]
    }
   ],
   "source": [
    "marginsplot, noci scheme(lean2wide) ///\n",
    "title(Predicted margins of miles per gallon by vehicle weight) ///\n",
    "ytitle(Miles Per Gallon) xtitle(Vehicle Weight in Pounds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "----------------------------------------------------------------------------------------------------\n",
      "-> foreign = Domestic\n",
      "\n",
      "    Variable |        Obs        Mean    Std. Dev.       Min        Max\n",
      "-------------+---------------------------------------------------------\n",
      "         mpg |         52    19.82692    4.743297         12         34\n",
      "\n",
      "----------------------------------------------------------------------------------------------------\n",
      "-> foreign = Foreign\n",
      "\n",
      "    Variable |        Obs        Mean    Std. Dev.       Min        Max\n",
      "-------------+---------------------------------------------------------\n",
      "         mpg |         22    24.77273    6.611187         14         41\n",
      "\n"
     ]
    }
   ],
   "source": [
    "bysort foreign: sum mpg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "    Variable |        Obs        Mean    Std. Dev.       Min        Max\n",
      "-------------+---------------------------------------------------------\n",
      "      weight |         74    3019.459    777.1936       1760       4840\n"
     ]
    }
   ],
   "source": [
    "sum weight"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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