shortcuts/notebooks/deno_tinygo_wasm.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Regressions\n",
    "\n",
    "$X = (0,1)$\n",
    "\n",
    "$Y = sin(2\\pi X)$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "![name](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAqAAAAGACAIAAAD9Gkc5AABXGElEQVR4nOzdB3RUddo/8Gd6S5vJzKT30AIJ3YTQRYRVREUsgIorLui6suwuun91dZFd993XtrbXLeoCghJEpAsooKAQmkAIKZSUSS+TPkmmz/9MhgwQQkiZmTvl+zlzOHPv3Ln3SbiZZ36da7FYCAAAALwLl+kAAHyORqPx8/O7do/JZOJwOC64dLcX2rt374EDByQSyapVq1wQAwC4BpvpAAB8RVVV1cKFC++5557f/e5399xzz/Dhw8+ePWt7afLkycuWLXN2ACqVKjAwcNeuXV32z549OzQ0dNOmTV32f/vttw8++KBIJJo0adJdd901ocOiRYt+/vlnZ4cKAAOHBA/gIo899lhiYuLOnTs//vjjnTt3Llq0qLGx0fbS008//eCDDzo7gNDQ0JUrV44ePbqXx995553PPvusVqv961//+s0332RmZu7bty8kJCQ1NfXPf/5zz+/dvXu30Wh0RNQA0E+oogdwBYvFcvjw4UWLFtn3LFiwgM/n254//vjjN3sXi8Xq5flvPLLLToFAcGMlvO0YNpvdbXcc29vtJwkICHjnnXeMRuNf//rX2bNnT5gwodtgdDrdU089VVxczOXiEwaAMSjBA7gCi8WKi4t79dVXDx8+bNsTFxcXERFBRPv3758zZ85vf/tbIrp06dIjjzxy3333vfDCCyNGjBCLxbaUfOLEiblz5z777LNEVFRU9Lvf/S45Obm9vZ2Ivvzyy/T09CeeeGLatGk7d+605ex333139uzZtp0ffvih7YoffvjhmDFjtm/fbtu8ePHizJkz77777ieffPLLL7/s9puELet3yf2rV682m82fffYZETU0NEyZMmXBggW33377Pffc09raWl1d/cQTT1RVVT322GNvvPEGEf3nP/+ZOXPmY489lpycvHbtWuf/sgGggwUAXGLfvn22vnXDhw9/++23W1pa7C8tWbLk3nvvtT1ftWpVSkqKVqs1m82rVq1is9kajcZisTz99NNz5syxHfPTTz/ZOusZDAaxWHzq1CmLxVJYWLhjxw6LxfLFF19ERkba3lVbWxsUFPTVV1/Z3hgcHLxmzRqLxaLX62NjY1etWmXb/9Zbbw0dOvTGmH/44Qci+uGHH7rsj4yMnD59usViqamp+eijjywWi8FgkEgkn376qcVi2b9/PxFptVr7yW3BfPTRRwEBAU741QJAN1CCB3CRO++8My8v75VXXmlra/vDH/6QnJxcXl7e7ZF8Pl8gELBYrPvuu89sNqvV6pud02w2m0ymLVu2GI3GuLi4e+65h4g+/fTTWbNmSSQSIpLL5bNmzVqzZk2XN+7bt6+4uLjfPftkMllDQwMRKRSKZ555hoi4XG5sbGxNTc2NB//hD3+wBTNo0KDm5matVtu/iwJAnyDBA7hOZGTk6tWrCwoK1q5dW1FR8Ze//KXn42/Zhs3n89966633338/JibmxRdfbGtrI6Li4mKlUmk/JiwsrLi4uMsbCwsLhUJhSEhI/36QioqKxMREImpra3v11VeXLl26cuXKqqqqbuv5jx079qtf/eq3v/3tf/7zn/5dDgD6AV1gAFzBYrHk5+cPGzbM1h6/ePHi7777Lj8/f+Bn/s1vfrNw4cLPP//8tddeU6lUX3zxhUQi0el09gN0Op1cLu/yLolEYjabe9mDr4vCwkK1Wj127Fhb98CgoKCPP/6YxWLt27ev24OnTp166tSp5OTkAwcObN68uX8XBYC+QgkewBVMJtPrr79+7R42m52QkND7M/B4vObm5i4729vbs7KyZDLZc889t3r16hMnThDRyJEjL1++bD8mLy8vOTm5yxuHDh2q1+vPnz/fj59l9erV0dHRy5cvJ6Ljx4+PGTOm25xtNpuJ6MyZM2w2e/jw4TfrsgcAToISPICLbNu27YMPPpg/f35wcPDOnTv37Nlz5MiRGw+z9Y6xP7f/m5yc/K9//evjjz9WKpWHDh2y7bc152/cuJHP5x85cmTq1KlE9OKLL06dOnX//v3Tpk3bunVrQUHB+vXru1wlLS1txowZv/rVr958802TyXTs2LFu825raysR5efnBwUFsVisixcvrlu3rqamZufOnWKx2PZFYcOGDUlJSSqVqqGhwXaSwYMHE9HGjRtTUlKGDBmi0+nefPPN1NRUewd+AHABDianBHABNpudnp6em5u7bdu2Xbt2mc3mjz/+OCYmhojWr1+v1+tDQkIuXboUEBCQnZ2dkJBQU1MTHR29YcOGCRMmFBQUpKenjx49WiAQZGVlicXiefPmyWSy3NzcyZMnNzQ0ZGRk7N27d+zYsa+88gqPx1MoFPPnz9++fXtGRoZYLP7f//3f6OjoxsbGDz74ICUlxVYNEB8fP3fuXA6Hs3v37ubm5vvvv18ikTQ0NCQlJdlj/vbbb3/66SfbJc6dO5ebmysQCObOnbt69erQ0FDbMVOnTi0tLc3JybHNc1ddXR0WFhYfH+/v73/y5Ek2m33XXXcNHTr0+PHjLS0tTz/9tJ+fX35+fmpqKnP/FQC+goXqMgAAAO+DNngAAAAvhAQPAADghZDgAQAAvBB60YPTmc106RIZjTR4MPF4TEcDAOAbkODBuYqLadUqsk3JGhxML79MNwzJBgAAx0MvenAis5mWLKGysqt7AgPps8+oYwQ1AAA4EdrgfY5aTW+9Rb/8Jf3+99SxJpkTFRRcl92JqKmJTp927kUBAOxKS0sPHjx4+PBhlUplNBptO7Va7ZkzZ1xw9fLy8pKSki47Kysr//rXvyYnJx87dsypV3eXBN/a2vqb3/ym25cuXbrk8nC8lkZDK1bQvn3WvJudTa+9Rt9958TLmUzd7Oz8E3MW3DDQJ7hhvJXRaFy4cOHy5csLCwuzs7OXLFmyYMEC20tr164dM2ZMbW1tP07bpxtmyZIlCxcu7LIzLCzs+eefP3/+vG2mSOdxlzZ4i8Vys0UkbTNag0Ps2UPV1dftWbuWZs501uUSE0mhoGv/iEQiGjPGWZezwQ0DfYIbxlt9/PHHOTk5WVlZts2lS5cuWbLE9nzRokVDhgxRKBT9OG2fbpgPPvjA6Owyzc25SwkeXKNLhTkR1dR0X852CC6X/vQnCgq6sikW04svUkCAsy4HAGB36dKl1tZWU+cHHI/H+5//+R/byk8mk2n06NG2LmhNTU2NjY1ms7m1tfXEiRM1NTW2MmdjB1s6b25ubmxstC/SqNFojh07lp2d3dLSYr9ce3v76dOnc3JyDAaDbY9Wq1UqlVFRUfZjLBZLcXHxkSNHVCqVC34DSPC+JS6u656ICOJwnHjFpCRav55Wr6ZXX6UNG2jCBCdeCwDALjU1taCg4Be/+EVmZqZtT0REhC2jv/XWW1KptKKigoi++OILqVT6+9///vHHH1+4cGF8fHx2drZOp3vvvfekUmlpaSkR7d27Nykp6d1337Utzzh+/PjDhw/v2LFjzpw5tjNv2rQpNTX18OHDGRkZw4cPP3r0KBFdvHjxkUcemT59uu2Y2tra6dOn//a3v83Kytq0aZMrfgUW99DS0rJkyZJuX8rPz3d5OF6rvd2yZInljjuuPO6803LkCNMxORpuGOgT3DBebOXKlWy2tRw7ZMiQf/7znyaTybb/7NmzHTWaZRaLRa1WE5FtQUWj0ahQKFavXm2xWGyLKRcXF9veMmrUqL///e8Wi+XBBx9cunSpbeeePXssFktVVZVEIvnxxx9tO//3f/930KBBBoPBYrGsWrVq3Lhxtv3Lli1LS0szm832Jun9+/c79cdHCd63CIX07ru0cCElJ9PUqfT225SeznRMAADO8eabbxYWFv7lL3/R6XTPPPPMU0891fPxHA4nKSnJtuLizSgUiq+//jojI8NoNM6ePZuIDh482N7ent75YTpjxoxLHbq8cevWrXfffTeLxRrwj9Vb7tLJDlzGz49++UumgwAAcImYmJg//elPf/zjH5966qk1a9a88cYbcrm8h+NvmYCXLl1qNBp/+ctfLl++/
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "// deno-lint-ignore-file\n",
    "\n",
    "import { display } from \"https://deno.land/x/display@v0.1.1/mod.ts\";\n",
    "import pl from \"npm:nodejs-polars\";\n",
    "import plot from \"../plot/mod.ts\";\n",
    "\n",
    "const data = await Deno.readTextFile(\"assets/X_Y_Sinusoid_Data.csv\");\n",
    "const df = pl.readCSV(data, { sep: \",\" });\n",
    "\n",
    "const real = pl.DataFrame({ x: new Array(100).fill(0).map((_, i) => i / 100)}).select(\n",
    "    pl.col('x'),\n",
    "    pl.col('x').mul(2).mul(3.14).sin().alias('y')\n",
    ");\n",
    "\n",
    "const draw = (x, y, title = \"Sinusoid Data\") => \n",
    "  plot.DrawPlot(\n",
    "      { \n",
    "          title,\n",
    "          width: 7,\n",
    "          height: 4,\n",
    "          XLabel: \"X\", \n",
    "          YLabel: \"Y\", \n",
    "      }, \n",
    "      { type: \"line\", data: [real.x, real.y], legend: \"Sinusoid\", lineDashes: [3, 4], lineColor: \"#ff8888\", lineWidth: 1 },\n",
    "      { type: \"scatter\", data: [x, y], legend: \"Data\", lineDashes: [3, 4], lineWidth: 2, glyphColor: \"#4444ff\", glyphShape: \"circle\" },\n",
    "      { type: \"trend\", data: [x, y], legend: \"Trend\", lineDashes: [4, 2], lineColor: '#aacccc', lineWidth: .5 },\n",
    "  );\n",
    "\n",
    "\n",
    "draw(df.x, df.y);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "Deno",
   "language": "typescript",
   "name": "deno"
  },
  "language_info": {
   "codemirror_mode": "typescript",
   "file_extension": ".ts",
   "mimetype": "text/x.typescript",
   "name": "typescript",
   "nbconvert_exporter": "script",
   "pygments_lexer": "typescript",
   "version": "5.6.2"
  }
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}