mrkn/new_box_plot.ipynb

## new_box_plot.ipynb
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       ":pyplot"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "require 'charty'\n",
    "Charty::Backends::Pyplot.activate_iruby_integration\n",
    "Charty.use_backend(:pyplot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "#<Datasets::Iris:0x00007fba224374a0 @metadata=#<struct Datasets::Metadata id=\"iris\", name=\"Iris\", url=\"https://archive.ics.uci.edu/ml/datasets/Iris\", licenses=nil, description=#<Proc:0x00007fba22437d60@/Users/mrkn/.rbenv/versions/2.6.5/lib/ruby/gems/2.6.0/gems/red-datasets-0.0.9/lib/datasets/iris.rb:18 (lambda)>>>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "require 'datasets'\n",
    "iris = Datasets::Iris.new"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Box plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig = Charty.box_plot(data: iris)\n",
    "fig.render"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhYAAAGdCAYAAABO2DpVAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjAsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+17YcXAAAgAElEQVR4nO3de3hTdZ7H8U9amhRsUyjSQicB1KIWlZtcpqBSFYfhcXxQF2dWcUVRdxFYkY7PIOPowCgWH2dbHAeKV2BVRLeCqOMFcQTXC1IQbwgFBKQVaFGgKWgvtL/9gyVSpUDa30ma9v16njxtTs45v2/yy0k+OfnlHJcxxggAAMCCmEgXAAAAWg6CBQAAsIZgAQAArCFYAAAAawgWAADAGoIFAACwhmABAACsIVgAAABr2oS7wbq6Ou3cuVOJiYlyuVzhbh4AADSCMUYVFRVKS0tTTEzD+yXCHix27twpv98f7mYBAIAFxcXF8vl8Dd4e9mCRmJgo6XBhXq833M0DAIBGCAQC8vv9wffxhoQ9WBz5+sPr9RIsAACIMicaxsDgTQAAYA3BAgAAWEOwAAAA1hAsAACANQQLAABgTUjBora2Vvfcc49OO+00tW3bVmeccYbuu+8+GWOcqg8AAESRkH5u+uCDDyo/P18LFizQOeecozVr1uimm25SUlKSbr/9dqdqBAAAUSKkYPHBBx9o5MiRuvzyyyVJ3bt313PPPafVq1c7UhwAAIguIX0VMnjwYL399tvatGmTJOnTTz/Ve++9pxEjRjS4TFVVlQKBQL0LAABomULaY3HXXXcpEAjo7LPPVmxsrGprazVjxgyNHj26wWVycnI0ffr0JhcKAACav5D2WLzwwgt69tlntXDhQn388cdasGCB/vrXv2rBggUNLjN16lSVl5cHL8XFxU0uGgAANE8uE8JPOvx+v+666y5NmDAhOO3+++/XM888o40bN57UOgKBgJKSklReXs65QgAAiBIn+/4d0lch33///c/OwR4bG6u6urrGVQkADqusrFRJSYmjbVRXV6u0tFSpqalyu92OtePz+RQfH+/Y+gEbQgoWV1xxhWbMmKGuXbvqnHPO0bp165Sbm6uxY8c6VR8ANElJSYkmT54c6TKsyMvLU3p6eqTLAI4rpK9CKioqdM8992jJkiUqKytTWlqarr32Wt17770nndL5KgRAOIVjj0VxcbFyc3OVnZ0tv9/vWDvssUAkOfJVSGJiombNmqVZs2Y1uUAACIf4+Piwfcr3+/3sUUCrx7lCAACANQQLAABgDcECAABYQ7AAAADWECwAAIA1BAsAAGANwQIAAFhDsAAAANYQLAAAgDUECwAAYA3BAgAAWEOwAAAA1hAsAACANQQLAABgDcECAABYQ7AAAADWECwAAIA1BAsAAGANwQIAAFhDsAAAANYQLAAAgDUECwAAYA3BAgAAWEOwAAAA1hAsAACANQQLAABgDcECAABYQ7AAAADWECwAAIA1BAsAAGANwQIAAFhDsAAAANaEFCy6d+8ul8v1s8uECROcqg8AAESRNqHMXFhYqNra2uD1L774QpdddpmuueYa64UBAIDoE1Kw6NSpU73rM2fO1BlnnKGhQ4daLQoAAESnkILF0aqrq/XMM88oOztbLperwfmqqqpUVVUVvB4IBBrbJAAAaOYaPXjzpZde0v79+3XjjTced76cnBwlJSUFL36/v7FNAgCAZq7RweLJJ5/UiBEjlJaWdtz5pk6dqvLy8uCluLi4sU0CAIBmrlFfhXz99ddavny5Fi9efMJ5PR6PPB5PY5oBAABRplHBYt68eUpJSdHll19uux4AABqtsrJSJSUljrZRXV2t0tJSpaamyu12O9aOz+dTfHy8Y+t3SsjBoq6uTvPmzdOYMWPUpk2jx34CAGBdSUmJJk+eHOkyrMjLy1N6enqkywhZyMlg+fLl2rFjh8aOHetEPQAANJrP51NeXp6jbRQXFys3N1fZ2dmO/iDB5/M5tm4nhRwsfvWrX8kY40QtAAA0SXx8fNg+5fv9/qjco+A0zhUCAACsIVgAAABrCBYAAMAaggUAALCGYAEAAKwhWAAAAGsIFgAAwBqCBQAAsIZgAQAArCFYAAAAawgWAADAGoIFAACwhmABAACsIVgAAABrCBYAAMAaggUAALCGYAEAAKwhWAAAAGvaRLoAAK1bWVmZAoFApMtokuLi4np/o5XX61VKSkqky0CUI1gAiJiysjKNu+021VRXR7oUK3JzcyNdQpPEud2am59PuECTECwAREwgEFBNdbXihiQrxhu9L0em1sgcOCRXQhu5Yl2RLqdR6gKHVPP+XgUCAYIFmiR6t2QALUaMt41iOrojXUbTpHgiXQHQLDB4EwAAWEOwAAAA1hAsAACANQQLAABgDcECAABYQ7AAAADWECwAAIA1BAsAAGANwQIAAFhDsAAAANaEHCy++eYbXX/99erYsaPatm2r8847T2vWrHGiNgAAEGVCOlfIvn37NGTIEF188cV6/fXX1alTJ23evFkdOnRwqj4AABBFQgoWDz74oPx+v+bNmxecdtppp1kvCgAARKeQvgp5+eWX1b9/f11zzTVKSUlR37599fjjjx93maqqKgUCgXoXAADQMoUULLZu3ar8/Hz16NFDb775pm677TbdfvvtWrBgQYPL5OTkKCkpKXjx+/1NLhoAADRPIQWLuro69evXTw888ID69u2rf//3f9ett96quXPnNrjM1KlTVV5eHrwUFxc3uWgAANA8hRQsunTpop49e9ablpGRoR07djS4jMfjkdfrrXcBAAAtU0jBYsiQISoqKqo3bdOmTerWrZvVogAAQHQKKVhMnjxZq1at0gMPPKAtW7Zo4cKFeuyxxzRhwgSn6gMAAFEkpGAxYMAALVmyRM8995zOPfdc3XfffZo1a5ZGjx7tVH0AACCKhHQcC0n6zW9+o9/85jdO1AIAAKIc5woBAADWhLzHAgBsqa6uliTVlddEuBIc6YMjfQI0FsECQMSUlpZKkmo+2BfhSnBEaWnpzw4rAISCYAEgYlJTUyVJcYM7KCYpLsLVtG515TWq+WBfsE+AxiJYAIgYt9stSYpJilNMR3eEq4H0Y58AjcXgTQAAYA3BAgAAWEOwAAAA1hAsAACANQQLAABgDcECAABYQ7AAAADWECwAAIA1BAsAAGANwQIAAFhDsAAAANYQLAAAgDUECwAAYA3BAgAAWEOwAAAA1hAsAACANQQLAABgDcECAABYQ7AAAADWECwAAIA1BAsAAGANwQIAAFhDsAAAANYQLAAAgDUECwAAYA3BAgAAWNMm0gUAQF3gUKRLaBJTa2QOHJIroY1csa5Il9Mo4eqDsrIyBQKBsLTllOLi4np/o5XX61VKSor19YYULKZNm6bp06fXm3bWWWdp48aNVosC0Dp4vV7Fud2qeX9vpEuBpDi3W16v17H1l5WVafy4caqqqXGsjXDKzc2NdAlN4omL05y5c62Hi5D3WJxzzjlavnz5jytow04PAI2TkpKiufn5LeITbG5urrKzs+X3+yNdTqM59Qn2iEAgoKqaGl3hilVHReeeHUk6ZIzKJSVJauOKzvvxnYxeqalRIBCIfLBo06aNOnfubLUIAK1XSkqKo29m4eT3+5Wenh7pMpq9jnKpsyuKh/i5JF+ka2gqU+fYqkPu2c2bNystLU2nn366Ro8erR07dhx3/qqqKgUCgXoXAADQMoUULAYNGqT58+frjTfeUH5+vrZt26YLL7xQFRUVDS6Tk5OjpKSk4CWadxMCAIDjCylYjBgxQtdcc4169eql4cOH67XXXtP+/fv1wgsvNLjM1KlTVV5eHrxE+yhaAADQsCaNvGzfvr3OPPNMbdmypcF5PB6PPB5PU5oBAABRokmjZw4cOKCvvvpKXbp0sVUPAACIYiEFizvvvFMrV67U9u3b9cEHH+iqq65SbGysrr32WqfqAwAAUSSkr0JKSkp07bXX6rvvvlOnTp10wQUXaNWqVerUqZNT9QEAgCgSUrBYtGiRU3UAAIAWIIqPUAIAAJobggUAALCGYAEAAKwhWAAAAGsIFgAAwBqCBQAAsIZgAQAArCFYAAAAawgWAADAGoIFAACwhmABAACsIVgAAABrCBYAAMAaggUAALCGYBEmq1ev1tixY7V69epIlwIAgGMIFmFQWVmpOXPmaM+ePZozZ44qKysjXRIAAI4gWIRBQUGB9u7dK0nau3evCgoKIlwRAADOIFg4bOfOnSooKJAxRpJkjFFBQYF27twZ4coAALCPYOEgY4zmzp0bDBUnmg4AQLQjWDiopKRE69atU11dXb3pdXV1WrdunUpKSiJUGQAAzmgT6QJaMp/Pp759++rTTz+tFy5iYmLUp08f+Xy+CFYHAOFVXV0tSfrOGEl1x58Zjvru//eYH+kTmwgWDnK5XBo3bpzGjx9/zOkulytClQFA+JWWlkqSXlGtxDfBzUJpaal69uxpdZ0EC4elpaVp1KhReuGFF2SMkcvl0qhRo9SlS5dIlwa0CpWVlY5/7VhcXFzvr1N8Pp/i4+MdbcNJqampkqQrFKuOfLCKqO+M0SuqDfaJTQSLMBg1apRee+01VVRUKCEhQaNGjYp0SUCrUVJSosmTJ4elrdzcXEfXn5eXp/T0dEfbcJLb7ZYkdXS51NnFEL/IqpPMj31iE8ECQIvm8/mUl5fnaBvV1dUqLS1VamqqIy/URzAuC9GAYBEGBQUFOnDggCTpwIEDKigo0PXXXx/hqoDWIT4+Piyf8m1/Tw1EK/ZFOYwDZAEAWhOChYM4QBYAoLUhWDiIA2QBAFobgoWDjhwg66fHq3C5XOrXrx8DsQAALQ7BwkEul0tXX331Mb8KufrqqzlAFgCgxSFYOMgYo8WLFx/zthdffJExFgCAFqdJwWLmzJlyuVy64447bNXTohwZY3EsjLEAALREjQ4WhYWFevTRR9WrVy+b9bQoR8ZYxMTUf5hjYmIYYwEAaJEaFSwOHDig0aNH6/HHH1eHDh1s19RiNHSyMU5CBgBoqRp15M0JEybo8ssv17Bhw3T//fcfd96qqipVVVUFrwcCgcY06SinT1J0ySWXaPny5cGTkF166aU6ePCgtmzZYr2taD9JEQAguoUcLBYtWqSPP/5YhYWFJzV/Tk6Opk+fHnJh4RTOkxQZY7Rs2TItW7bMkfVH+0mKAADRLaRgUVxcrEmTJumtt9466U/FU6dOVXZ2dvB6IBCQ3+8PrUqHheMkRStWrNDSpUs1cuRIZWVlOdYO4zYAAJEUUrBYu3atysrK1K9fv+C02tpavfvuu/r73/+uqqoqxcbG1lvG4/HI4/HYqdYh4TpJ0dKlS5WVlcUeBQBAixVSsLj00kv1+eef15t200036eyzz9aUKVN+FioAAEDrElKwSExM1Lnnnltv2imnnKKOHTv+bDoAAGh9OPImAACwplE/Nz3aihUrLJQBAABaAvZYAAAAawgWAADAGoIFAACwhmABAACsIVgAAABrCBYAAMAaggUAALCGYAEAAKwhWAAAAGsIFgAAwBqCBQAAsIZgAQAArCFYAAAAawgWAADAGoIFAACwhmABAACsIVgAAABrCBYAAMAaggUAALCGYAEAAKwhWAAAAGsIFgAAwJo2kS7gZJSVlSkQCES6jCYpLi6u9zdaeb1epaSkRLoMAEAz1eyDRVlZmcbddptqqqsjXYoVubm5kS6hSeLcbs3NzydcAACOqdkHi0AgcDhUdM6S3O0jXU7j1R2SDh2Q2iRIMc3+YT+26v2q2b1CgUCAYAEAOKboeYdzt5fiT410FQAA4DgYvAkAAKwhWAAAAGsIFgAAwBqCBQAAsIZgAQAArCFYAAAAa0IKFvn5+erVq5e8Xq+8Xq8yMzP1+uuvO1UbAACIMiEFC5/Pp5kzZ2rt2rVas2aNLrnkEo0cOVLr1693qj4AABBFQjpA1hVXXFHv+owZM5Sfn69Vq1bpnHPOsVoYAACIPo0+8mZtba3+53/+RwcPHlRmZmaD81VVVamqqip4PdSTiVUfOUdI9f5G1QmL/r8PqlvIeVsAAPaFHCw+//xzZWZmqrKyUgkJCVqyZIl69uzZ4Pw5OTmaPn16owssLS09/M/uFY1eB+wqLS09bp8DAFqvkIPFWWedpU8++UTl5eUqKCjQmDFjtHLlygbfaKZOnars7Ozg9UAgIL/ff9LtpaamHv4n2k9C1hJU75d2r/ixTwAA+ImQg4Xb7VZ6erok6fzzz1dhYaEefvhhPfroo8ec3+PxyOPxNLpAt9v9//9wErLmItgnAAD8RJOPY1FXV1dvDAUAAGi9QtpjMXXqVI0YMUJdu3ZVRUWFFi5cqBUrVujNN990qj4AABBFQgoWZWVluuGGG7Rr1y4lJSWpV69eevPNN3XZZZc5VR8AAIgiIQWLJ5980qk6AABAC8C5QgAAgDWNPkBW2EX7AbLqDkmHDkhtEqSY6HnY64n2PgAAOK7Zv8N5vV7Fud2q4QBZzUKc2y2v1xvpMgAAzVSzDxYpKSmam58f8qHAm5vi4mLl5uYqOzs7pAOENTder1cpKSmRLgMA0Ew1+2AhHQ4XLeXNzO/3Bw8wBgBAS8PgTQAAYA3BAgAAWEOwAAAA1hAsAACANQQLAABgDcECAABYQ7AAAADWECwAAIA1BAsAAGBNVBx5E7CpsrJSJSUljrZRXV2t0tJSpaamyu12O9aOz+dTfHy8Y+sHgFARLNDqlJSUaPLkyZEuw4q8vDwOEQ+gWSFYoNXx+XzKy8tztI1wnXTO5/M5tm4AaAyCBVqd+Pj4sH3K56RzAFobBm8CAABrCBYAAMAaggUAALCGYAEAAKwhWAAAAGsIFgAAwBqCBQAAsIZgAQAArCFYAAAAazjypsJzUqri4uJ6f53CSakAAJFEsFB4T0qVm5vr6Po5KRUAIJIIFgrPSanCeRptAAAihWCh8J2UqmfPno63AQBAJDF4M0xWr16tsWPHavXq1ZEuBQAAx4QULHJycjRgwAAlJiYqJSVFV155pYqKipyqrcWorKzUnDlztGfPHs2ZM0eVlZWRLgkAAEeEFCxWrlypCRMmaNWqVXrrrbdUU1OjX/3qVzp48KBT9bUIBQUF2rt3ryRp7969KigoiHBFAAA4I6QxFm+88Ua96/Pnz1dKSorWrl2riy66yGphLcXOnTtVUFAgY4wkyRijgoICXXLJJUpLS4twdQAA2NWkMRbl5eWSpOTk5AbnqaqqUiAQqHdpLYwxmjt3bjBUnGg6AADRrtHBoq6uTnfccYeGDBmic889t8H5cnJylJSUFLz4/f7GNhl1SkpKtG7dOtXV1dWbXldXp3Xr1jl+UC4AAMKt0cFiwoQJ+uKLL7Ro0aLjzjd16lSVl5cHL04febI58fl86tu3r2Ji6j/MMTEx6tevH8ecAAC0OI0KFhMnTtSrr76qd95554Rvjh6PR16vt96ltXC5XBo3bpxcLtdJTQcAINqFFCyMMZo4caKWLFmif/7znzrttNOcqqvFSEtL06hRo4IhwuVyadSoUerSpUuEKwMAwL6QgsWECRP0zDPPaOHChUpMTNTu3bu1e/du/fDDD07V1yKMGjUqOMA1OTlZo0aNinBFAAA4I6RgkZ+fr/LycmVlZalLly7By/PPP+9UfS1CfHy8xo8fr06dOmn8+PGcfRQA0GKFdBwLfh7ZeAMHDtTAgQMjXQYAAI7iXCEAAMAazm6KZqesrCzqD6R25GfV0f7zaq/Xq5SUlEiXASCKECzQrJSVlWn8beNUVV0T6VKsyM3NjXQJTeJxx2lO/lzCBYCTRrBAsxIIBFRVXaN/S49VatvoPc5HTZ3R3iop2SPFxUTn/Sj9wejpLTUKBAIECwAnjWCBZim1rUv+U6J7CNDpiZGuoKnqTjwLAPxEdL9yAwCAZoVgAQAArCFYAAAAawgWAADAGoIFAACwhl+FAADC6jsZyUTvr44OGaNySUmS2rii8+fk38m5U3QQLAAAYeH1euWJi9MrNS3jAHiS5OD7s+M8cXHyer3W10uwAACERUpKiubMndsiDtmfm5ur7Oxs+f3+SJfTaE4dsp9gAQAIm5SUlBZzJFe/36/09PRIl9HsMHgTAABYQ7AAAADWECwAAIA1BAsAAGANwQIAAFhDsAAAANYQLAAAgDUECwAAYA3BAgAAWMORN9GsVFdXS5JKfzCSovckRS3B4T74sU8A4GQQLNCslJaWSpKe3lIb4UpwRGlpqXr27BnpMgBECYIFmpXU1FRJ0r+lxyq1bXSejrilKP3B6OkttcE+AYCTQbBAs+J2uyVJqW1d8p/CEKDIOvxV1JE+AYCTwSs3AACwhmABAACsIVgAAABrCBYAAMAaggUAALCGYAEAAKwJOVi8++67uuKKK5SWliaXy6WXXnrJiboAAEAUCjlYHDx4UL1799bs2bOdqAcAAESxkA+QNWLECI0YMcKJWgAAQJRz/MibVVVVqqqqCl4PBAJONwkAaKUqKytVUlLiaBvFxcX1/jrF5/MpPj7e0Tac4HiwyMnJ0fTp051uBgAAlZSUaPLkyWFpKzc319H15+XlKT093dE2nOB4sJg6daqys7OD1wOBgPx+v9PNAgBaIZ/Pp7y8PEfbqK6uVmlpqVJTUx09l47P53Ns3U5yPFh4PB55PB6nmwEAQPHx8WH5lN+zZ0/H24hWHMcCAABYE/IeiwMHDmjLli3B69u2bdMnn3yi5ORkde3a1WpxAAAguoQcLNasWaOLL744eP3I+IkxY8Zo/vz51goDAADRJ+RgkZWVJWOME7UAAIAoxxgLAABgDcECAABYQ7AAAADWECwAAIA1BAsAAGANwQIAAFhDsAAAANYQLAAAgDUECwAAYA3BAgAAWEOwAAAA1hAsAACANQQLAABgDcECAABYQ7AAAADWECwAAIA1BAsAAGANwQIAAFhDsAAAANYQLAAAgDUECwAAYA3BAgAAWNMm0gUAx1L6g5FUF+kyGq2mzmhvlZTskeJiXJEup1EO9wEAhIZggWbF6/XK447T01tqIl0KJHnccfJ6vZEuA0AUIVigWUlJSdGc/LkKBAKRLqVJiouLlZubq+zsbPn9/kiX02her1cpKSmRLgNAFCFYoNlJSUlpMW9mfr9f6enpkS4DAMKGwZsAAMAaggUAALCGYAEAAKwhWAAAAGsYvIlWp7KyUiUlJY62UVxcXO+vU3w+n+Lj4x1tAwBCQbBAq1NSUqLJkyeHpa3c3FxH15+Xl8evTgA0K40KFrNnz9ZDDz2k3bt3q3fv3nrkkUc0cOBA27UBjvD5fMrLy3O0jerqapWWlio1NVVut9uxdnw+n2PrBoDGCDlYPP/888rOztbcuXM1aNAgzZo1S8OHD1dRUVGLOfYAWrb4+PiwfMrv2bOn420AQHMT8uDN3Nxc3XrrrbrpppvUs2dPzZ07V+3atdNTTz3lRH0AACCKhBQsqqurtXbtWg0bNuzHFcTEaNiwYfrwww+PuUxVVZUCgUC9CwAAaJlCChbffvutamtrlZqaWm96amqqdu/efcxlcnJylJSUFLxE83kTAADA8Tl+HIupU6eqvLw8eHH653cAACByQhq8eeqppyo2NlalpaX1ppeWlqpz587HXMbj8cjj8TS+QgAAEDVC2mPhdrt1/vnn6+233w5Oq6ur09tvv63MzEzrxQEAgOgS8s9Ns7OzNWbMGPXv318DBw7UrFmzdPDgQd10001O1AcAAKJIyMHid7/7nfbs2aN7771Xu3fvVp8+ffTGG2/8bEAnAABofVzGGBPOBgOBgJKSklReXi6v1xvOpgEAQCOd7Ps3ZzcFAADWECwAAIA1BAsAAGANwQIAAFjTqNOmN8WRsaKcMwQAgOhx5H37RL/5CHuwqKiokCTOGQIAQBSqqKhQUlJSg7eH/eemdXV12rlzpxITE+VyucLZdEQFAgH5/X4VFxfzM9tWgP5uXejv1qW19rcxRhUVFUpLS1NMTMMjKcK+xyImJkY+ny/czTYbXq+3VT0RWzv6u3Whv1uX1tjfx9tTcQSDNwEAgDUECwAAYE3stGnTpkW6iNYiNjZWWVlZatMm7N9AIQLo79aF/m5d6O+GhX3wJgAAaLn4KgQAAFhDsAAAANYQLAAAgDUEC4tuvPFGXXnlldbXO3/+fLVv3/6480ybNk19+vQ57jzbt2+Xy+XSJ598YrO8VmfFihVyuVzav3+/9XW7XC699NJLDd5+sn2YlZWlO+64w3Z5rU4o23RzesydfI62VKE8ZifzmhxO3bt316xZsyJdRhDBIgr87ne/06ZNm0JaxqmQ05I0txcHSdq1a5dGjBhx0vPzBoLmFGiag+a4XdsSLfeN38lEgbZt26pt27aRLgNh0Llz50iXAABN0qL2WBQUFOi8885T27Zt1bFjRw0bNkwHDx6UJD3xxBPKyMhQfHy8zj77bM2ZMye43JHdy4sWLdLgwYMVHx+vc889VytXrgzOU1tbq5tvvlmnnXaa2rZtq7POOksPP/xwo+p89dVX1b59e9XW1kqSPvnkE7lcLt11113BeW655RZdf/31ko6dUmfOnKnU1FQlJibq5ptvVmVlZfC2adOmacGCBVq6dKlcLpdcLpdWrFgRvH3r1q26+OKL1a5dO/Xu3Vsffvhho+5HpGVlZWnixImaOHGikpKSdOqpp+qee+4JnnmvqqpKd955p37xi1/olFNO0aBBg4KPw4oVK3TTTTepvLw8+BgdOaTL008/rf79+ysxMVGdO3fWddddp7KyspDrM8aoU6dOKigoCE7r06ePunTpErz+3nvvyePx6Pvvv5f0869CVq9erb59+yo+Pl79+/fXunXrgrdt375dF198sSSpQ4cOcrlcuvHGG4O319XV6Q9/+IOSk5PVuXNnReMha6Jlmz6W4z3/pB+36zfffFMZGRlKSEjQr3/9a+3atSs4z6FDh3T77berffv26tixo6ZMmaIxY8YE90beeOONWrlypR5++OHg83j79u3B5deuXav+/furXbt2Gjx4sIqKiqzdP6c09+26IUuXLlW/fv0UHx+v008/XdOnT9ehQ4eCt7tcLj3xxBO66obQzZ8AAA3aSURBVKqr1K5dO/Xo0UMvv/xyvXW8/PLL6tGjh+Lj43XxxRdrwYIFwT2Sx7tvkvT9999r7NixSkxMVNeuXfXYY49Zu28hMy3Ezp07TZs2bUxubq7Ztm2b+eyzz8zs2bNNRUWFeeaZZ0yXLl3Miy++aLZu3WpefPFFk5ycbObPn2+MMWbbtm1GkvH5fKagoMB8+eWX5pZbbjGJiYnm22+/NcYYU11dbe69915TWFhotm7dap555hnTrl078/zzzwdrGDNmjBk5cuQJa92/f7+JiYkxhYWFxhhjZs2aZU499VQzaNCg4Dzp6enm8ccfN8YYM2/ePJOUlBS87fnnnzcej8c88cQTZuPGjebuu+82iYmJpnfv3sYYYyoqKsxvf/tb8+tf/9rs2rXL7Nq1y1RVVQXv59lnn21effVVU1RUZEaNGmW6detmampqmtgD4Td06FCTkJBgJk2aZDZu3Bjsk8cee8wYY8wtt9xiBg8ebN59912zZcsW89BDDxmPx2M2bdpkqqqqzKxZs4zX6w0+RhUVFcYYY5588knz2muvma+++sp8+OGHJjMz04wYMSLY7jvvvGMkmX379p2wxquvvtpMmDDBGGPM3r17jdvtNklJSWbDhg3GGGPuv/9+M2TIkOD8ksySJUuMMYf7sVOnTua6664zX3zxhXnllVfM6aefbiSZdevWmUOHDpkXX3zRSDJFRUVm165dZv/+/cHHxuv1mmnTpplNmzaZBQsWGJfLZZYtW2bhkQ+PaNqmjTn8mE+aNCl4/XjPP2MOb9dxcXFm2LBhprCw0Kxdu9ZkZGSY6667LriO+++/3yQnJ5vFixebDRs2mHHjxhmv1xusaf/+/SYzM9PceuutwefxoUOHgs/RQYMGmRUrVpj169ebCy+80AwePLhpnRIG0bBd//Q1+d133zVer9fMnz/ffPXVV2bZsmWme/fuZtq0acF5jjwfFy5caDZv3mxuv/12k5CQYL777jtjjDFbt241cXFx5s477zQbN240zz33nPnFL34RrOl4961bt24mOTnZzJ4922zevNnk5OSYmJgYs3HjxqZ3SCO0mGCxdu1aI8ls3779Z7edccYZZuHChfWm3XfffSYzM9MY8+OL0MyZM4O319TUGJ/PZx588MEG25wwYYL5l3/5l+D1UF6E+vXrZx566CFjjDFXXnmlmTFjhnG73aaiosKUlJQYSfVegI5+EmdmZprx48fXW9+gQYOCwaKhWo7czyeeeCI4bf369UZS8I0umgwdOtRkZGSYurq64LQpU6aYjIwM8/XXX5vY2FjzzTff1Fvm0ksvNVOnTjXG/PxxbUhhYaGRFNyIQ3kB+tvf/mbOOeccY4wxL730khk0aJAZOXKkyc/PN8YYM2zYMPPHP/4xOP/RweLRRx81HTt2ND/88EPw9vz8/GCwOF4tQ4cONRdccEG9aQMGDDBTpkw5Yc3NRbRt00cHi5N9/kkyW7ZsCd4+e/Zsk5qaGryempoafJ0wxphDhw6Zrl271qvpp4HGmB+fF8uXLw9O+8c//mEk1Xs+NUfRsF3/tI1LL73UPPDAA/Xmefrpp02XLl2C1yWZP/3pT8HrBw4cMJLM66+/HryP5557br113H333fVqaui+devWzVx//fXB63V1dSYlJSX4OhNuLearkN69e+vSSy/Veeedp2uuuUaPP/649u3bp4MHD+qrr77SzTffrISEhODl/vvv11dffVVvHZmZmcH/27Rpo/79+2vDhg3BabNnz9b555+vTp06KSEhQY899ph27NjRqHqHDh2qFStWyBij//3f/9XVV1+tjIwMvffee1q5cqXS0tLUo0ePYy67YcMGDRo0qMHaT6RXr17B/4/slre5SzCcfvnLX8rlcgWvZ2ZmavPmzfr8889VW1urM888s16/r1y58mf9/lNr167VFVdcoa5duyoxMVFDhw6VpEb19dChQ/Xll19qz549WrlypbKyspSVlaUVK1aopqZGH3zwgbKyso657IYNG9SrVy/Fx8fXu38n6+h+lg73dTT1c7Rt00c72edfu3btdMYZZwSvH91H5eXlKi0t1cCBA4O3x8bG6vzzzz/pOqJ1W2/u2/VPffrpp/rLX/5Sr6Zbb71Vu3btCn7NKdXvj1NOOUVerzfYH0VFRRowYEC99R7d9ydy9LpdLpc6d+4csb5uMYM3Y2Nj9dZbb+mDDz7QsmXL9Mgjj+juu+/WK6+8Ikl6/PHHf/ZmHBsbe9LrX7Roke68807913/9lzIzM5WYmKiHHnpIH330UaPqzcrK0lNPPaVPP/1UcXFxOvvss4NvOPv27Qs+6Z0QFxcX/P/IxltXV+dYe5Fw4MABxcbGau3atT/r54SEhAaXO3jwoIYPH67hw4fr2WefVadOnbRjxw4NHz5c1dXVIddx3nnnKTk5WStXrtTKlSs1Y8YMde7cWQ8++KAKCwtVU1OjwYMHh7zek3F0P0uH+zqa+jnatumjnezz71h9ZCyeZaGlbevNZbs+Vl3Tp0/X1Vdf/bPbjv5g4OQ22Zy29xYTLKTDD+SQIUM0ZMgQ3XvvverWrZvef/99paWlaevWrRo9evRxl1+1apUuuugiSYcHTa1du1YTJ06UJL3//vsaPHiwxo8fH5z/RAn5eC688EJVVFQoLy8vGCKysrI0c+ZM7du3T7///e8bXDYjI0MfffSRbrjhhnq1H83tdgcHh7ZkP30TWLVqlXr06KG+ffuqtrZWZWVluvDCC4+57LEeo40bN+q7777TzJkz5ff7JUlr1qxpdH0ul0sXXnihli5dqvXr1+uCCy5Qu3btVFVVpUcffVT9+/fXKaeccsxlMzIy9PTTT6uysjL44nSsfpbUYvs6mrbpo53M8+9EkpKSlJqaqsLCwuB9qK2t1ccff1zvmDUtcVtv7tv1T/Xr109FRUVKT09v9DrOOussvfbaa/WmFRYW1rseLX3dYr4K+eijj/TAAw9ozZo12rFjhxYvXqw9e/YoIyND06dPV05Ojv72t79p06ZN+vzzzzVv3jzl5ubWW8fs2bO1ZMkSbdy4URMmTNC+ffs0duxYSVKPHj20Zs0avfnmm9q0aZPuueeen3V6KDp06KBevXrp2WefDe4Kv+iii/Txxx9r06ZNx91jMWnSJD311FOaN2+eNm3apD//+c9av359vXm6d++uzz77TEVFRfr2229VU1PT6Fqbsx07dig7O1tFRUV67rnn9Mgjj2jSpEk688wzNXr0aN1www1avHixtm3bptWrVysnJ0f/+Mc/JB1+jA4cOKC3335b3377rb7//nt17dpVbrdbjzzyiLZu3aqXX35Z9913X5NqzMrK0nPPPac+ffooISFBMTExuuiii/Tss88et5+vu+46uVwu3Xrrrfryyy/12muv6a9//Wu9ebp16yaXy6VXX31Ve/bs0YEDB5pUa3MSbdv00U7m+Xcy/vM//1M5OTlaunSpioqKNGnSJO3bt6/e1wTdu3fXRx99pO3bt+vbb7+N6j0SR0TDdn20e++9V//93/+t6dOna/369dqwYYMWLVqkP/3pTye9jv/4j//Qxo0bNWXKFG3atEkvvPCC5s+fL+nHvU3Hum/NUkRGdjjgyy+/NMOHDzedOnUyHo/HnHnmmeaRRx4J3v7ss8+aPn36GLfbbTp06GAuuugis3jxYmPMjwO9Fi5caAYOHGjcbrfp2bOn+ec//xlcvrKy0tx4440mKSnJtG/f3tx2223mrrvuOuGAyeOZNGnSzwZO9u7d23Tu3LnefMcasDNjxgxz6qmnmoSEBDNmzBjzhz/8oV4tZWVl5rLLLjMJCQlGknnnnXeC9/PIwD9jjNm3b1/w9mgzdOhQM378+OBI+Q4dOpg//vGPwUFfR0b9d+/e3cTFxZkuXbqYq666ynz22WfBdYwbN8507NjRSDJ//vOfjTHGLFy40HTv3t14PB6TmZlpXn755ZMaMNmQdevWGUn1Bk7m5eUZSeaNN96oN6+OGrxpjDEffvih6d27t3G73aZPnz7BX4Ec3Yd/+ctfTOfOnY3L5TJjxowJPjY/HdA3cuTI4O3RINq26Z8+5id6/h1ru16yZIk5+mW5pqbGTJw4Mfj8njJlirnmmmvMv/7rvwbnKSoqMr/85S9N27ZtjSSzbdu2Yz5HjzwPt23bdlL3J1KiYbs+Vt+98cYbZvDgwaZt27bG6/WagQMHBn/JYszPt21jjElKSjLz5s0LXl+6dKlJT083Ho/HZGVlBQdrHz3g9lj3rVu3biYvL6/eunv37h28Pdw4bboO/+b9tNNO07p16054WGw0H1lZWerTp0+zOpQtmoeWuk3X1dUpIyNDv/3tb61+4m5O2K5/NGPGDM2dO1fFxcWRLiUkLWqMBQC0JF9//bWWLVumoUOHqqqqSn//+9+1bds2XXfddZEuDQ6YM2eOBgwYoI4dO+r999/XQw89FBwTFE1azBiL5mTHjh31fnb004uNnzeheRgxYkSD/fzAAw9EujxYEqltOiYmRvPnz9eAAQM0ZMgQff7551q+fLkyMjIcaQ+HRWq73rx5s0aOHKmePXvqvvvu0+9///uoPGIuX4U44NChQ/UOq/tT3bt3V5s27CxqCb755hv98MMPx7wtOTlZycnJYa4ITmCbbl3YrpuGYAEAAKzhqxAAAGANwQIAAFhDsAAAANYQLAAAgDUECwAAYA3BAgAAWEOwAAAA1hAsAACANf8H0yxpqNOawYAAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig = Charty.box_plot(data: iris, order: %w[sepal_width petal_width sepal_length petal_length])\n",
    "fig.render"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Bar plot with wide inputs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig = Charty.bar_plot(data: iris)\n",
    "fig.render"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig = Charty.bar_plot(data: iris, order: %w[sepal_width petal_width sepal_length petal_length])\n",
    "fig.render"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Ruby 2.6.2",
   "language": "ruby",
   "name": "ruby"
  },
  "language_info": {
   "file_extension": ".rb",
   "mimetype": "application/x-ruby",
   "name": "ruby",
   "version": "2.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}