{ "cells": [ { "cell_type": "code", "execution_count": 3, "id": "ba38325e", "metadata": { "tags": [ "remove_input" ] }, "outputs": [], "source": [ "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "from IPython.display import set_matplotlib_formats\n", "pd.set_option('display.max_colwidth', None)\n", "\n", "sns.set(style=\"whitegrid\")\n", "sns.set_context(\"poster\", font_scale=.5, rc={\"grid.linewidth\": 0.6})\n", "sns.set_style({'font.family': 'Roboto'})\n", "# jupyter-book clean ./ --all\n", "# jupyter-book build ./\n", "# ghp-import -n -p -f _build/html" ] }, { "attachments": {}, "cell_type": "markdown", "id": "f8751081", "metadata": {}, "source": [ "# 1. Preliminary Data Analysis\n", "\n", "Performing a preliminary data analysis is crucial to gaining a better understanding of the data and making necessary cleaning adjustments. During this step, we will explore the following questions:\n", "\n", "1. Does the packname follow a consistent pattern?\n", "2. What is the distribution of hold times?\n", "3. Is there a clear relationship between difficulty rating and piece counts?\n", "\n", "We'll be taking a look at the data sets member_hold_times_and_packs.tsv and packs.tsv." ] }, { "cell_type": "code", "execution_count": 4, "id": "acba7993", "metadata": {}, "outputs": [], "source": [ "# Importing Libraries\n", "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "\n", "import warnings\n", "warnings.filterwarnings(\"ignore\")" ] }, { "attachments": {}, "cell_type": "markdown", "id": "56fe7f1f", "metadata": {}, "source": [ "### 1.1 Members Data\n", "\n", "- `memberID` - Unique identifiers for each person\n", "- `holdtime` - number of days the person had the pack\n", "- `puzzlepack` - name of the pack (may have more than 1 puzzle per pack)\n" ] }, { "cell_type": "code", "execution_count": 5, "id": "7056a50a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(19733, 3)" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "member_holdtime_df = pd.read_csv('data/member_hold_times_and_packs_Feb16_2023.tsv', sep='\\t', header=None)\n", "member_holdtime_df.columns = ['memberID', 'holdtime', 'puzzlepack']\n", "member_holdtime_df.shape" ] }, { "cell_type": "code", "execution_count": 6, "id": "19da5020", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
memberIDholdtimepuzzlepack
0member12.939411Artifact Puzzles Justin Hillgrove Word Travels South Artifact Puzzles Justin Hillgrove Word Travels West
1member10.998885DaVici Puzzles Full Moon Feast DaVici Puzzles World's Greatest Miracle
2member110.865032DaVici Puzzles Flying Frigate DaVici Puzzles Hobby Horse
3member122.083971Liberty Puzzles Haeckel Hummingbirds Nautilus Puzzles Mother Adams
4member15.077603DaVici Puzzles Diana Zimens City Of Cats
\n", "
" ], "text/plain": [ " memberID holdtime \\\n", "0 member1 2.939411 \n", "1 member1 0.998885 \n", "2 member1 10.865032 \n", "3 member1 22.083971 \n", "4 member1 5.077603 \n", "\n", " puzzlepack \n", "0 Artifact Puzzles Justin Hillgrove Word Travels South Artifact Puzzles Justin Hillgrove Word Travels West \n", "1 DaVici Puzzles Full Moon Feast DaVici Puzzles World's Greatest Miracle \n", "2 DaVici Puzzles Flying Frigate DaVici Puzzles Hobby Horse \n", "3 Liberty Puzzles Haeckel Hummingbirds Nautilus Puzzles Mother Adams \n", "4 DaVici Puzzles Diana Zimens City Of Cats " ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "## Does packname have a pattern?\n", "member_holdtime_df.head()" ] }, { "cell_type": "markdown", "id": "624ca8c7", "metadata": {}, "source": [ "**Comments**:\n", "- Observe the extra space at the end of \"cats \". This shows it has this pack has only one puzzle.\n", "- other strings have the word \"Puzzles\" twice while 'Diana Zimens City Of Cats ' has it only once. \n", "- Looks like the first word is a brand or something, then the word \"puzzle\" and the name of puzzle. For example -\n", " * DaVici, **Puzzles** Full Moon Feast DaVici **Puzzles** World's Greatest Miracle \n", " * DaVici, **Puzzles** Flying Frigate DaVici **Puzzles** Hobby Horse\n", " * Liberty, **Puzzles** Haeckel Hummingbirds Nautilus **Puzzles** Mother Adams\n", " * DaVici, **Puzzles** Diana Zimens City Of Cats \n" ] }, { "cell_type": "code", "execution_count": 7, "id": "48b5b15d", "metadata": { "tags": [ "hide_code", "hide_input", "remove_output" ] }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "## What is the distribution for holdtimes?\n", "plt.figure(figsize = (10,5))\n", "plt.title(\"Figure 1. Distribution of Hold Times\", weight='heavy',y =1.1, x=0.16).set_fontsize('18')\n", "z = sns.histplot(data=member_holdtime_df, x=\"holdtime\", color=\"#F9C762\", alpha = 1.0, bins = 75)\n", "sns.despine(left=True, bottom=False)\n", "z.spines['bottom'].set_color('#DDDDDD')\n", "z.yaxis.grid(True, color='#EEEEEE')\n", "z.xaxis.grid(False)\n", "plt.xlabel(\"Hold Time\", size=17, weight=500)\n", "plt.ylabel(\"Frequency\", size=17, weight=500)\n", "plt.tight_layout()\n", "# plt.savefig(\"_static/images/hold_times_dist.png\", format=\"png\", dpi=1200)\n", "plt.show()" ] }, { "attachments": {}, "cell_type": "markdown", "id": "3a8d98ab", "metadata": {}, "source": [ "![](_static/images/hold_times_dist.png)" ] }, { "cell_type": "code", "execution_count": 17, "id": "4b6d47c5", "metadata": { "tags": [ "remove_output", "hide_input" ] }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAABcsAAAHkCAYAAADhIXcmAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/NK7nSAAAACXBIWXMAAA9hAAAPYQGoP6dpAABwTUlEQVR4nO3de1hVVeL/8c/hIGEcES+IpIXoKCSXhCKy1LxlppmZeWlSsyls0mwy06wUEjVFrbykKeLUaJYlmmnOZGXTaFcvNZowwTdFURtRR0GJiwLn94c/Th65CIfLQfb79Tw8uPdae6+1FxtZ58NmHZPVarUKAAAAAAAAAAADc3F2BwAAAAAAAAAAcDbCcgAAAAAAAACA4RGWAwAAAAAAAAAMj7AcAAAAAAAAAGB4hOUAAAAAAAAAAMMjLAcAAAAAAAAAGB5hOQAAAAAAAADA8AjLAQAAAAAAAACGR1gOAAAAAAAAADA8wnIAkDRlyhT17Nmz1LKjR48qICBAGzZsqNQ5Fy9erICAgHLrVPTcs2bN0v3331+p9o1ozJgxCggIKPHx3nvvObtrlTZy5EiNHDnS2d0AAACodsy9ry7/+Mc/Sp1jDx061Nldq7QNGzYoICBAR48edXZXANRRrs7uAADA3pQpU7Rz50598cUXtn3jxo1Tdna2E3tVM77//nuNGjVKq1atUmRkZJXPl5GRobvuukujR4+22+/n51flc9ek0r7mAAAAqHlGmns7KiMjQ9dcc43++te/2u23WCxO6lHFVPdrDQDGQFgOAFcBLy8veXl5ObsbdV5GRob69u2rW265xdldAQAAwFXKiHPvoqIimUwmmUymEmUZGRlq2bIlc2wAhsAyLADgAKvVqr/97W+6++67FRISorvuuksrVqyQ1Wot97ht27apX79+Cg4OVv/+/e2eYPn+++8VEBCgDz/8UMeOHVNAQIAWL14sqeSfqo4cOVJPPPGEXn/9dXXp0kUhISEaPny4fvnlF33++ee67777FBoaqj59+igxMdGuD+fPn9drr72mrl27KjQ0VCNHjtTPP/9cZp/L+lPFS/tX3PfExEQNGzZMISEhuvPOO0s8fXKpnj17atSoUZKkUaNG2V1fdna2ZsyYYbu2wYMH65///Ge5Y3v+/HllZmbK19e33HqlXdvf//53PfDAAwoODlb37t317rvv6vjx4xo/frzCw8N12223acqUKSWeMNq+fbuGDx+uTp066fbbb1d0dLTOnj1b4vxff/21HnroIYWGhqpXr156//337cattK95sbfeeks9e/ZUp06d9PDDD+uXX36xKy++D2+66Sb16dNH8fHxKioqqvAYAAAA1HVGmntLV54Lv/LKK4qIiND58+dt+woKChQZGakZM2bY9n355Zd64IEHFBoaqt69e2vNmjW2suIlaebNm6chQ4YoNDRUx44dK7U/J06cUMuWLcvt8+UCAgL06quvauLEibrlllsUFhamZ599VmfPntWyZcvUo0cPderUSUOGDNGPP/5od+zJkyc1efJk3Xbbbbrppps0cuRI/fDDDyXOv3TpUkVHRysyMlK33nqrJk6cqHPnzkkq/7WGJO3fv7/U+Xmxffv26ZFHHtHNN9+s22+/XRMmTChzfADUL4TlAHCJgoKCEh+lBY+zZ89WXFyc+vbtqzfeeEN9+/bVa6+9plmzZpV57uTkZI0fP17e3t5asGCBnnjiCa1evdpW3rFjR61Zs0bdunWTt7e31qxZo8GDB5d5vn/96186fvy45syZo5iYGKWlpWn06NGKjY3V6NGjtXjxYrVp00bTpk1TSkqK7bhnnnlGa9as0RNPPKEFCxbIarXqkUce0enTpx0ctd8tWLBADz74oBYtWqTQ0FDFxcVp06ZNpdZduHChpk6dKkmaOnWqFi5cKEm6cOGCRo8erY8//lhjx47VggUL1KpVKz355JP65JNPymz7xIkTslqteu+99xQZGamgoCANHTpU//73v6/Y7zfeeEOPPfaYlixZojZt2ig2NlZDhw5V69attWjRIv3pT3/SRx99pCVLltiO+eyzzzRmzBi1bNlSr732msaNG6dPPvlEjz76qN0LF0l6/vnndd9992nJkiUKCAhQTEyMUlNTr/g1/+GHH/TFF19o2rRpmjFjhtLT0zVlyhRb+Zo1azRnzhzdf//9Wrp0qfr166fXXntNb7755hWvGQAAwNmYe5dUkbnwgAEDdPbsWX377be243bu3KnMzEzde++9kqRPP/1Uf/7zn22/BOjXr59mzpxZIsx/7733NHDgQK1YsULNmzcvtU8nTpzQ0aNH1bdvX3Xs2FHdunVTfHx8mWNV7K233tIf/vAHLVq0SI899pj+/ve/a8CAAfriiy80depUzZ49W2fPntVf/vIX2/z53LlzGjZsmHbv3q3nn39e8+bNkyQ98sgjJUL1pUuXSpJeffVVPfnkk/rHP/5hmweX9Vqj2MyZM0udn0sXn6R/9NFH5erqqtdee03PP/+89u7dq8cee0wXLly44nUDuLqxDAsA/H/Hjh1TUFDQFesdOXJEq1at0lNPPaWnnnpKknTnnXfKzc1NS5Ys0YgRI9SmTZsSxy1btkxNmzbVihUr5ObmJkny9/fXgw8+KElq1KiRbrnlFiUmJsrNze2Kf+bYvn17xcXF2baPHz+uxYsXa8mSJerdu7ckKTAwUN26ddPu3bsVEBCg77//Xtu2bVNcXJztTYvCw8PVvXt3rV+/XlFRUVe8/vLExMTorrvukiR1795dgwYN0ooVK3TfffeVqBsSEqKcnBxJUocOHRQSEiJJ2rx5s3766SetXr1at956qySpV69eGjlypOLi4nT33XeX+ueh+fn5atmypQICAjRhwgSdOXNGCxcu1GOPPaZPP/1UzZo1K7Pfc+fOVXBwsKSL49qjRw+FhITo+eeflyR16dJF3333nXbu3Cnp4tNNs2fPVkREhBYsWGA7zx/+8AeNGjVKH330kYYMGWLbHxcXpzvuuEOSdOONN2rbtm3atWuXHn744XK/5i1bttTKlStt98t///tfvfrqq8rNzVXDhg21fft2BQYG6sknn5Qk3XHHHbJarTpz5kyZ1woAAFAXMPcufe5dkblwSEiI2rRpo08++UR33nmnpIvheOvWrRUWFiZJmjNnjiIjIzV79mzbmB09elR//etfbWMgXVyffcSIEeVeu6enp3777TeNGTNGjRs31qZNm/Tqq6/K09NTw4cPL/O4YcOG2eapt99+u3bu3Kk9e/boww8/VNOmTSVd/IXJc889p8OHD6t9+/Z6++23lZGRob///e+29x3q0aOH+vfvr3nz5undd9+1nf/uu+9WbGyspIvz9a+//to2Xy/rtUaxsubnHTp00I8//qjs7GxNmjRJgYGBkiRfX18tX75cJ06cUKtWrcodLwBXN54sB4D/z9vbW4mJiSU+Ln9K95tvvpHVatXAgQPt9g8aNEhWq1Xfffddqef/6aef1K1bN9tkXZKaNGnicH8vX0fxuuuukyTbhE6SfHx8JMkWnn799ddydXVV7969bU/vWCwWtW3bVj/99JPDfSnm6elp+7fJZFKfPn104MABFRQUVPgcX3/9tXx9fW0vDooNGjRIv/76q9LS0ko9rl27dvrXv/6l2NhY3Xbbbbrnnnu0YsUK5efn2/3JaWkuHcvSxlGSWrRoYRvHQ4cO6dixYyXugcjISLVq1cruKR/J/g1Gi5/YqUigfd1119ndL8XHFj+JdOutt+rnn3/WnDlz9OOPP6qgoEATJkywPUUDAABQVzH3Ln3uXdG5cPET2gUFBbJarfr8889tT5WnpaXp2LFjuueee+ye2u/UqZMOHDig3377rVJjsmTJEm3YsEF9+/ZV586dNXv2bHXu3FnLly8v97jSxszHx8cWlEsX59iXj1mnTp3s5s8NGjTQgAED9OOPPyo3N9e2//JfkjRv3rzCfy1b3vw8ODhY1157rWJjY7V161ZlZmbq1ltv1cqVKwnKAQPgyXIA+P/c3NxKPHEgqcRa3cUTsOLJcDFvb29JZYegJ0+eLPNPG2ta8XqO//vf/1RQUKCbb765RJ1GjRpVe7tNmzZVYWGhTp8+bZsIX8np06dLjK1UuZC52PXXX6+2bdvq//7v/yp8TEWUdQ9IF/tZkT5eaY3Nihz72GOPycvLSx988IFWrVold3d33XvvvZowYUKVXgwCAADUNObepc+9KzoXHjBggBYvXqzvvvtODRs21MmTJ21h+f/+9z9JF//qMyYmpsS5Ln2PHUd1795ds2fPVnZ2tiwWS5XPVzxmp0+ftv3F56WaN2+uoqIinT17Vg0bNqxye+X1oXXr1nrvvfe0fPlyTZ06VefOnVN4eLgmTJigiIiIGmkbQN1BWA4AldS4cWNJ0qlTp2xPlEgX1/KTZPekxKUufTLZWTw8PHTttddq1apVpZaVprQlTyrq1KlTMpvNlQpuGzdurPT09BL7rzS+P/74o86ePWv7U9RiVQmly1L8lEzxC5FLnThxotQXRDVl8ODBGjx4sLKzs/Wvf/1LM2fO1KFDh0r9GgMAAFxtjDb3ruhc2M/PT6Ghodq6das8PDzUoUMHtW/fXpJs4fXkyZNLPKEuSc2aNbOd70pOnTqlr7/+Wj179rQL+Gtiji1dvP5Tp06V2H/ixAmZTKYST6vXlMDAQL3++usqKirS/v37tXDhQj366KP6+OOPS132B0D9wTIsAFBJnTt3lslk0scff2y3f+PGjTKZTLr99ttLPS40NFTbt2+3e1OY0v5M0GQy1djkMyIiQjk5OcrPz1dISIjtw8fHR/7+/qUeU/wUS0ZGhm1faSGxJNu7z0sXJ9Bbt27VH/7wBzVo0KDU+i4uLra6xW6//XYdPXq0xBv4fPTRR2rVqlWZ/dyzZ4+eeeYZZWVl2fYdP35caWlp6tChQ6nHOKpt27Zq2bKlNm/ebLf/+++/13//+1/b+ocV5ejXfMiQIVq0aJGkiy+K+vfvrwEDBlTLkjoAAAB1gdHm3pWZC9977736/PPP9emnn2rAgAG2/e3atZOXl5cOHDhg125gYKBatWpltzTNlbi4uGjy5Mn6xz/+Ybf/m2++UatWrarlqfJL3X777frhhx907Ngx276CggJt2bJFERERuuaaayp8rtJea1REfHy8Bg0apIKCArm4uCg0NFSTJk3ShQsX7N68FUD9xJPlAFBJ/v7+Gj58uBYuXKjc3Fx16tRJP/zwg1asWKERI0bo+uuvL/W4P//5zxo8eLCeeOIJPfzww/rtt99KvCu7dHEtv4yMDK1fv15BQUEl1s6uip49e+qWW27RU089pSeffFIdOnTQ//3f/2nRokV66aWXNGjQoBLHhIaGqlGjRpo3b56efPJJZWdna8WKFaWe/+WXX9aZM2fUokULJSYmKjU1VfPnzy+zP76+vpKkDz/8UHl5eerevbvuv/9+vffeexo3bpyefvpptWjRQps2bdKuXbtswXBpBg0apLfffltPPPGEHn/8cV24cEFvvvmmGjZsqIcffriSI1U+k8mk559/Xs8++6wmTpyoe++9V8ePH9eCBQsUFBRk92KlIhz9moeHhys+Pl7u7u4KCQnR0aNHtWnTJnXt2tWRywIAAKhzjDb3rsxcuH///oqLi9OZM2fUv39/2/4GDRpo4sSJio6OlouLi3r37q38/Hy99dZbatCggVavXl3ha2jatKkGDx6sefPmKT8/X35+ftq2bZu2b9+umTNnOj44ZRg9erQ++ugjjR49WuPGjZPFYtE777yjX3/9VXPnzq3UuUp7rVERnTt31qJFizR+/HgNGzZMVqtVq1evloeHhzp16lTJKwJwtSEsBwAHREdH67rrrtP777+vFStWqFWrVpo0aZJGjx5d5jGBgYFavHix5s2bp7/85S+64YYb9PTTT2vy5Ml29YYNG6YdO3YoNjZWf/7zn6t1wm42mxUfH6/XX39dK1asUGZmpm644QZNmDBB999/f6nHNG7cWAsXLtScOXP0l7/8Ra1bt9bo0aM1Z86cEnVHjBihdevWKTk5WU2bNtXzzz9fbnDcunVrPfbYY1q7dq3279+v7t27y83NTW+99ZZeffVVLViwQLm5uQoICNDy5ctLLLFyqWbNmmnVqlWaP3++XnrpJeXn56tTp06aPXt2mX+eWxX9+vWTm5ubli5dqvHjx8vLy0v9+vXTxIkTy3ySviyOfs0nTZqkxo0ba926dVq0aJGaNWum/v37a8KECY5cEgAAQJ1kpLl3ZebCzZs3V+fOnZWTk1PijSeHDh0qDw8PxcfHa+PGjbJYLOrRo4cmTZpU6euIiYlRy5Yt9be//U3Hjx9Xq1atNHXqVA0ZMqTS57qSJk2a6N1339W8efM0c+ZMFRYWKjQ0VO+8806lg+rSXmtUREhIiFauXKlFixbpmWeekaurq0JCQvTWW2+Vup48gPrFZK2pvzcCABjG999/r1GjRmnVqlWKjIx0dncAAAAAAAAqjTXLAQAAAAAAAACGR1gOAAAAAAAAADA8lmEBAAAAAAAAABgeT5YDAAAAAAAAAAyPsBwAAAAAAAAAYHiuzu5AfXT+/HllZmbatq+55hqZzWbndQgAAAB1UmFhofLz823bXl5ecnNzc2KPrg7MtwEAAFARlZ1vE5bXgMzMTB05csTZ3QAAAMBVqEWLFs7uQp3HfBsAAACOKm++zTIsAAAAAAAAAADDIywHAAAAAAAAABgey7DUgGuuucZu+/rrr9e1115bK22npaXJ39+/Vtqqjxg/xzF2jmPsqobxcxxjVzWMn+MYu9/l5OTYLSdy+TwSpXPmfBu/43sZ5eH+QFm4N1Ae7g+Ux5H7o7LzbcLyGnD5mwtde+21slgstdK2i4tLrbVVHzF+jmPsHMfYVQ3j5zjGrmoYP8cxdmXjTSorxpnzbfyO72WUh/sDZeHeQHm4P1Ce6rg/rjTfZhkWAAAAAAAAAIDhEZYDAAAAAAAAAAyPsBwAAAAAAAAAYHiE5QAAAAAAAAAAwyMsBwAAAAAAAAAYHmE5AAAAAAAAAMDwCMsBAAAAAAAAAIZHWA4AAAAAAAAAMDzCcgAAAAAAAACA4Tk9LC8qKtKyZcvUq1cvhYWFafjw4frhhx9s5UeOHFFUVJQ6deqk8PBwPf300zp16pTdOTZv3qy+ffsqODhYPXr0UEJCgl15Xl6eoqOjFRkZqZCQEA0fPlz79u2rlesDAAAAAAAAANR9Tg/LV61apTfffFPPPfecNmzYIH9/f0VFRen48eMqLCzUmDFjdOHCBa1du1YrV65UWlqaJkyYYDt+9+7dmjx5sgYPHqzNmzdr7NixWrBggT788ENbnZkzZ2r79u1asGCBNmzYIF9fX0VFRSkrK8sZlwwAAAAAAAAAqGOcHpZ/8sknuu+++3TPPffI399f06dPV0FBgbZv3649e/bo4MGDmj59ugIDAxUWFqbJkydr586dSk9PlyStX79eYWFhioqKkr+/v4YMGaI+ffooMTFRkpSfn69NmzZp3Lhx6ty5s9q3b6/Y2Fjl5OTos88+c+alAwAAAAAAAADqCKeH5Tk5Obrmmmts2w0aNFCDBg2Uk5OjlJQUWSwW+fn52cqDgoIkSampqZKklJQUdezY0e6cQUFBtvJDhw4pPz/fdpwkNWrUSH5+frY6AAAAAAAAAABjc3pYfu+99+rjjz/Wzz//rIKCAsXHx6uoqEh33323zp49K09PT7v6TZo0kSRlZ2dLUql1vLy8dO7cOUmyfW7UqFGZdeoTd3d3Z3cBAAAAAAAAAK46rs7uQFRUlHbt2qWBAwfKbDarsLBQixYtkq+vr4qKimQymezqF28XFRXZPpdWx2q1SpIKCwvtjiutTn3Srl07Z3cBAAAAAAAAAK46Tg/LFy5cqNTUVL3xxhtq3bq1tm7dqpdeeklt27aVyWSyheLFigNus9ksSWXWKS53cXGxO660OjUtLS3N1o+a4u7u7vSg/MCBA8rLy3NqH6oqPz9fSUlJzu7GVYmxcxxjVzWMn+MYu6ph/BzH2P3u8nksAAAAAOdxaliem5urhIQEzZw5U3fddZck6cYbb9SePXu0YsUKdezYUZmZmXbHFG83btxYkmSxWErUycrKsi3NYrFYJElnzpzR9ddfX2qdmubv72/rR63Y8YGUebJ22vLylroOlVQ/nmpPSkqyW98eFcfYOY6xqxrGz3GMXdUwfo5j7H6XnZ2tlJQUZ3cDlVT4zhZZM07XSlsmn6Yyj+hfK20BAAAYnVPD8sLCQhUUFNi9wackNWzYUHl5eQoICFBubq5SUlIUEBAgSUpOTpYk23ZAQID27t1rd3xSUpICAwMlXQyq3dzctHfvXoWGhkq6+KIkPT3dVqfeyTwpnf7V2b0AAAAA6iVrxmnpaEbttFUrrQAAAEBy8ht8WiwWdevWTYsWLdLOnTt15MgRrVmzRjt27FC/fv0UERGhNm3aKCYmRvv379e+ffsUFxenrl27ytfXV5I0ZMgQJScna/HixUpLS9P69eu1detWDR168Wlnd3d3DRgwQMuWLdP27dv1yy+/KCYmRh4eHurVq5czLx8AAAAAAAAAUEc4fc3yefPm6fXXX9ekSZOUmZkpPz8/zZ49W3379pUkxcfHKzY2ViNGjJCLi4u6deum6Oho2/ERERGKi4vT0qVLtXz5cnl7e+u5555Tv379bHWmTZsms9msSZMmKScnR8HBwUpISKjdpVEAAAAAAAAAAHWW08Pyxo0b6+WXX9bLL79carmfn59WrlxZ7jkGDhyogQMHllnesGFDzZgxQzNmzKhKVwEAAAAAAAAA9ZRTl2EBAAAAAAAAAKAuICwHAAAAAAAAABgeYTkAAAAAAAAAwPAIywEAAAAAAAAAhkdYDgAAAAAAAAAwPMJyAAAAAAAAAIDhEZYDAAAAAAAAAAyPsBwAAAAAAAAAYHiE5QAAAAAAAAAAwyMsBwAAAAAAAAAYHmE5AAAAAAAAAMDwCMsBAAAAAAAAAIZHWA4AAAAAAAAAMDzCcgAAAAAAAACA4RGWAwAAAAAAAAAMj7AcAAAAAAAAAGB4hOUAAAAAAAAAAMMjLAcAAAAAAAAAGB5hOQAAAAAAAADA8AjLAQAAAAAAAACGR1gOAAAAAAAAADA8wnIAAAAAAAAAgOERlgMAAAAAAAAADI+wHAAAAAAAAABgeITlAAAAAAAAAADDIywHAAAAAAAAABgeYTkAAAAAAAAAwPAIywEAAAAAAAAAhufq7A4AAAAAqPsiIyOVmZlpt69Xr15aunSpjhw5otjYWO3atUsuLi7q0qWLoqOj1bx5c+d0FgAAAHAAYTkAAACAcp0/f16ZmZlavHixwsLCbPuvueYaFRYWasyYMfLx8dHatWuVm5ur6OhoTZgwQatXr3ZirwEAAIDKISwHAAAAUK4TJ05Iktq1aydvb2+7sp07d+rgwYNatmyZ/Pz8JEmTJ0/W448/rvT0dN1www213l8AAADAEaxZDgAAAKBcJ0+elCS1aNGiRFlKSoosFostKJekoKAgSVJqamrtdBAAAACoBoTlAAAAAMp18uRJmUwmPfPMM+rcubMGDBigv/3tb7JarTp79qw8PT3t6jdp0kSSlJ2d7YzuAgAAAA5hGRYAAAAA5WrevLm6deumwYMHy8/PT998843mzp0rs9msoqIimUwmu/rF20VFRbXSv7S0NLm41OxzQO7u7mrXrp0kqbCgQNYLBTXaXjFTQYHtRduBAweUl5dXK+1WRH5+vpKSkpzdDdRR3B8oC/cGysP9gfI4cn9Udj5KWA4AAACgXOHh4YqPj7dtBwYG6tChQ3r33XfVr1+/Ei9CrFarJMlsNtdK//z9/WWxWGqlLUkyu7pKDWrppZTr7+0Uh/V1RVJSkm3JHeBy3B8oC/cGysP9gfI4cn9kZ2crJSWlwvWdugzLhg0bFBAQUOpHx44dJUlHjhxRVFSUOnXqpPDwcD399NM6deqU3Xk2b96svn37Kjg4WD169FBCQoJdeV5enqKjoxUZGamQkBANHz5c+/btq7XrBAAAAOqbwMBA/frrr7JYLMrMzLQrK95u3Lhx7XcMAAAAcJBTw/J+/frpq6++KvHRvXt39e7dW4WFhRozZowuXLigtWvXauXKlUpLS9OECRNs59i9e7cmT56swYMHa/PmzRo7dqwWLFigDz/80FZn5syZ2r59uxYsWKANGzbI19dXUVFRysrKcsZlAwAAAFeViRMnKjo62m5fWlqaWrZsqYCAAOXm5to9sZOcnCxJCggIqNV+AgAAAFXh1LDc3d1d3t7edh/nz5/Xjh07NHr0aO3Zs0cHDx7U9OnTFRgYqLCwME2ePFk7d+5Uenq6JGn9+vUKCwtTVFSU/P39NWTIEPXp00eJiYmSLq5ls2nTJo0bN06dO3dW+/btFRsbq5ycHH322WfOvHwAAADgqnDPPfdow4YNWrdunY4cOaJNmzZp3bp1GjZsmCIiItSmTRvFxMRo//792rdvn+Li4tS1a1f5+vo6u+sAAABAhTk1LC/N22+/raCgIIWHhyslJUUWi0V+fn628uJ1aVJTUyVJKSkptiVbLq1TXH7o0CHl5+fbrWfTqFEj+fn52eoAAAAAKFvv3r01a9YsrVq1Svfee6+WLFmip556SqNGjZKrq6vi4+Pl4eGhESNGaPTo0Wrbtq3mzp3r7G4DAAAAlVKn3uDz7NmzSkxM1MyZM23bnp6ednWaNGki6eLi7GXV8fLy0rlz5yTJ9rlRo0Zl1gEAAABQvoEDB2rgwIGllvn5+WnlypW13CMAAACgetWpsPy9996Tp6en7r77bklSUVGRTCaTXZ3i7aKionLrWK1WSVJhYaHdcaXVqWlpaWlycanZh/jd3d3Vrl27Gm3jSg4cOKC8vDyn9qGq8vPzlZSU5OxuXJUYO8cxdlXD+DmOsasaxs9xjN3viue0AAAAAJyvzoTl58+f1+rVq21/yildDLQvfwFRHHCbzeZy6xSXF4fUlwfjl9apaf7+/rJYLLXSljM5O6yvDklJSXZL9qDiGDvHMXZVw/g5jrGrGsbPcYzd77Kzs+3eGBMAAACA89SZNcs3b96s3377TcOGDbPts1gsyszMtKtXvN24ceMy62RlZdmWZikOqc+cOVNmHQAAAAAAAACAsdWJsNxqteqtt97S/fffbwvBJSkgIEC5ubl2T9skJyfbyoo/79271+58SUlJCgwMlHTxqW43Nze7OtnZ2UpPT7fVAQAAAAAAAAAYW50Iy7dv365ffvlFo0aNstsfERGhNm3aKCYmRvv379e+ffsUFxenrl27ytfXV5I0ZMgQJScna/HixUpLS9P69eu1detWDR06VNLFtbwHDBigZcuW2dqJiYmRh4eHevXqVevXCgAAAAAAAACoe+rEmuUrV67UnXfeKX9/f7v9rq6uio+PV2xsrEaMGCEXFxd169ZN0dHRtjoRERGKi4vT0qVLtXz5cnl7e+u5555Tv379bHWmTZsms9msSZMmKScnR8HBwUpISDDEOuIAAAAAAAAAgCurE2H5qlWryizz8/PTypUryz1+4MCBGjhwYJnlDRs21IwZMzRjxgyH+wgAAAAAAAAAqL/qxDIsAAAAAAAAAAA4E2E5AAAAAAAAAMDwCMsBAAAAAAAAAIZHWA4AAAAAAAAAMDzCcgAAAAAAAACA4RGWAwAAAAAAAAAMj7AcAAAAAAAAAGB4hOUAAAAAAAAAAMMjLAcAAAAAAAAAGB5hOQAAAAAAAADA8AjLAQAAAAAAAACGR1gOAAAAAAAAADA8wnIAAAAAAAAAgOERlgMAAAAAAAAADI+wHAAAAAAAAABgeITlAAAAAAAAAADDIywHAAAAAAAAABgeYTkAAAAAAAAAwPAIywEAAAAAAAAAhkdYDgAAAAAAAAAwPMJyAAAAAAAAAIDhEZYDAAAAAAAAAAyPsBwAAAAAAAAAYHiE5QAAAAAAAAAAwyMsBwAAAAAAAAAYHmE5AAAAAAAAAMDwCMsBAAAAAAAAAIZHWA4AAAAAAAAAMDzCcgAAAAAAAACA4RGWAwAAAAAAAAAMj7AcAAAAAAAAAGB4hOUAAAAAAAAAAMMjLAcAAAAAAAAAGB5hOQAAAAAAAADA8OpEWG61WpWYmKhhw4YpPDxcW7dutSs/cuSIoqKi1KlTJ4WHh+vpp5/WqVOn7Ops3rxZffv2VXBwsHr06KGEhAS78ry8PEVHRysyMlIhISEaPny49u3bV+PXBgAAAAAAAACo++pEWP7yyy9r9uzZ6t+/vxITE9WjRw9bWWFhocaMGaMLFy5o7dq1WrlypdLS0jRhwgRbnd27d2vy5MkaPHiwNm/erLFjx2rBggX68MMPbXVmzpyp7du3a8GCBdqwYYN8fX0VFRWlrKysWr1WAAAAAAAAAEDd4/Sw/Ntvv9XatWu1ePFijRo1Sm3btpWbm5utfM+ePTp48KCmT5+uwMBAhYWFafLkydq5c6fS09MlSevXr1dYWJiioqLk7++vIUOGqE+fPkpMTJQk5efna9OmTRo3bpw6d+6s9u3bKzY2Vjk5Ofrss8+cct0AAAAAAAAAgLrD6WF5YmKiOnfurNtvv73U8pSUFFksFvn5+dn2BQUFSZJSU1NtdTp27Gh3XFBQkK380KFDys/Ptx0nSY0aNZKfn5+tDgAAAAAAAADAuJwelu/du1fe3t4aN26cunbtqoEDB2rjxo228rNnz8rT09PumCZNmkiSsrOzy6zj5eWlc+fOSZLtc6NGjcqsAwAAAAAAAAAwLldnd+DEiRP67LPPNGnSJI0fP17//Oc/9fzzz8tisah3794qKiqSyWSyO6Z4u6ioyPa5tDpWq1XSxXXPLz2utDo1KS0tTS4uNft7CXd3d7Vr165G27iSAwcOKC8vz6l9qKr8/HwlJSU5uxtXJcbOcYxd1TB+jmPsqobxcxxj97vi+SwAAAAA53N6WH7+/Hk9++yzevjhhyVJgYGB+uGHH/Tee++pd+/eMplMJV5EFAfcZrNZksqsU1xeHFRfHoxfWqcm+fv7y2Kx1Hg7zubssL46JCUl2S3Xg4pj7BzH2FUN4+c4xq5qGD/HMXa/y87OVkpKirO7AQAAAEB1YBmWFi1ayN3d3W5fhw4ddPz4cUmSxWJRZmamXXnxduPGjcusk5WVZVuapTioPnPmTJl1AAAAAAAAAADG5fSwPCQkRDt37rTbd+jQIbVq1UqSFBAQoNzcXLsnbpKTk21lxZ/37t1rd46kpCQFBgZKuvhkt5ubm12d7Oxspaen2+oAAAAAAAAAAIzL6WH5uHHj9OWXXyo+Pl6HDh3SmjVr9MUXX9iWZYmIiFCbNm0UExOj/fv3a9++fYqLi1PXrl3l6+srSRoyZIiSk5O1ePFipaWlaf369dq6dauGDh0q6eJ63gMGDNCyZcu0fft2/fLLL4qJiZGHh4d69erltGsHAAAAAAAAANQNTl+zvGPHjlq0aJFee+01vfHGG/Lz89O8efN05513SpJcXV0VHx+v2NhYjRgxQi4uLurWrZuio6Nt54iIiFBcXJyWLl2q5cuXy9vbW88995z69etnqzNt2jSZzWZNmjRJOTk5Cg4OVkJCgiHWEgcAAAAAAAAAlM/pYbkk9ezZUz179iyz3M/PTytXriz3HAMHDtTAgQPLLG/YsKFmzJihGTNmONxPAAAAAAAAAED95PRlWAAAAAAAAAAAcDbCcgAAAAAVlpGRoYiICI0cOdK278iRI4qKilKnTp0UHh6up59+WqdOnXJiLwEAAIDKIywHAAAAUGHTpk3TuXPnbNuFhYUaM2aMLly4oLVr12rlypVKS0vThAkTnNhLAAAAoPIIywEAAABUyPr16/Xzzz+rV69etn179uzRwYMHNX36dAUGBiosLEyTJ0/Wzp07lZ6e7sTeAgAAAJVDWA4AAADgio4fP67Zs2crNjZWjRo1su1PSUmRxWKRn5+fbV9QUJAkKTU1tdb7We+4ujq7BwAAAIZBWA4AAADgiqZOnaqePXuqe/fudvvPnj0rT09Pu31NmjSRJGVnZ9dW9+qvpp5XrgMAAIBqwWMKAAAAAMq1bt06/fzzz9qyZUuJsqKiIplMJrt9xdtFRUW10r+0tDS5uNTsc0Du7u5q166dJKmwoEDWCwU12l4xl8LCWmmnPAcOHFBeXl6J/fn5+UpKSnJCj3A14P5AWbg3UB7uD5THkfujsvNRwnIAAAAAZfr11181Z84cxcXFqXHjxiXKTSZTiRchVqtVkmQ2m2ulj/7+/rJYLLXSliSZXV2lBrX0UuqSMSx8Z4usGadrpVmTT1OZR/SXJNsvCS6XlJRkW3IHuBz3B8rCvYHycH+gPI7cH9nZ2UpJSalwfcJyAAAAAGWKj49Xdna2Jk2aZNt3/vx5FRUVKSwsTI8//rgyMzPtjineLi1ch+OsGaeloxm101attAIAAFC3EJYDAAAAKNP48eP16KOP2u2bP3++jh8/rvnz5ystLU25ublKSUlRQECAJCk5OVmSbNsAAADA1YCwHAAAAECZmjVrpmbNmtnt8/DwkLu7u/z8/NSqVSu1adNGMTExmjp1qoqKihQXF6euXbvK19fXSb0GAAAAKq9m3wUHAAAAQL3m6uqq+Ph4eXh4aMSIERo9erTatm2ruXPnOrtrAAAAQKXwZDkAAACASpkzZ47dtp+fn1auXOmk3gAAAADVgyfLAQAAAAAAAACGR1gOAAAAAAAAADA8wnIAAAAAAAAAgOERlgMAAAAAAAAADI+wHAAAAAAAAABgeITlAAAAAAAAAADDIywHAAAAAAAAABgeYTkAAAAAAAAAwPAIywEAAAAAAAAAhkdYDgAAAAAAAAAwPMJyAAAAAAAAAIDhEZYDAAAAAAAAAAyPsBwAAAAAAAAAYHiE5QAAAAAAAAAAwyMsBwAAAAAAAAAYHmE5AAAAAAAAAMDwCMsBAAAAAAAAAIZHWA4AAAAAAAAAMDzCcgAAAAAAAACA4RGWAwAAAAAAAAAMj7AcAAAAAAAAAGB4dSIsj4yMVEBAgN3H2LFjJUlHjhxRVFSUOnXqpPDwcD399NM6deqU3fGbN29W3759FRwcrB49eighIcGuPC8vT9HR0YqMjFRISIiGDx+uffv21dr11WtmV2f3AAAAAAAAAACqzOlJ5/nz55WZmanFixcrLCzMtv+aa65RYWGhxowZIx8fH61du1a5ubmKjo7WhAkTtHr1aknS7t27NXnyZD377LPq3bu3du/erenTp6tZs2YaNGiQJGnmzJn66quvtGDBAjVv3lxLly5VVFSUPv30UzVu3Ngp111vWJo4uwcAAAAAAAAAUGVOf7L8xIkTkqR27drJ29vb9uHp6ak9e/bo4MGDmj59ugIDAxUWFqbJkydr586dSk9PlyStX79eYWFhioqKkr+/v4YMGaI+ffooMTFRkpSfn69NmzZp3Lhx6ty5s9q3b6/Y2Fjl5OTos88+c9p1AwAAAAAAAADqDqc/WX7y5ElJUosWLUqUpaSkyGKxyM/Pz7YvKChIkpSamqobbrhBKSkpCg8PtzsuKChIO3bskCQdOnRI+fn5tuMkqVGjRvLz81Nqamq1X4+h7fhAyjxZO215eUtdh9ZOWwAAAAAAAADqvToRlptMJj3zzDNKTk5W8+bN9eCDD2rUqFE6e/asPD097eo3aXJx2Y/s7GxJKrWOl5eXzp07J0m2z40aNSqzDqpJ5knp9K/O7gUAAAAAAAAAVJrTw/LmzZurW7duGjx4sPz8/PTNN99o7ty5MpvNKioqkslksqtfvF1UVGT7XFodq9UqSSosLLQ7rrQ6NS0tLU0uLjW74o27u7vatWtXo23UVQcOHFBeXl61nCs/P19JSUnVci6jYewcx9hVDePnOMauahg/xzF2vyue0wIAAABwPqeH5eHh4YqPj7dtBwYG6tChQ3r33XfVr1+/Ei8gigNus9ks6WLoXVqd4vLikPryYPzSOjXN399fFoulVtoyour8JUFSUpLdkj2oOMbOcYxd1TB+jmPsqobxcxxj97vs7GylpKQ4uxsAAAAAVAfe4LM0gYGB+vXXX2WxWJSZmWlXVrzduHFjSSq1TlZWlm1pluKQ+syZM2XWAQAAAAAAAAAYm9PD8okTJyo6OtpuX1pamlq2bKmAgADl5ubaPW2TnJwsSQoICLB93rt3r93xSUlJCgwMlHTxqW43Nze7OtnZ2UpPT7fVAQAAAAAAAAAYm9PD8nvuuUcbNmzQunXrdOTIEW3atEnr1q3TsGHDFBERoTZt2igmJkb79+/Xvn37FBcXp65du8rX11eSNGTIECUnJ2vx4sVKS0vT+vXrtXXrVg0dOlTSxbW8BwwYoGXLlmn79u365ZdfFBMTIw8PD/Xq1cuZlw4AAAAAAAAAqCOcvmZ57969NWvWLCUkJGjmzJlq2bKlnnrqKY0aNUpms1nx8fGKjY3ViBEj5OLiom7dutk9iR4REaG4uDgtXbpUy5cvl7e3t5577jn169fPVmfatGkym82aNGmScnJyFBwcrISEBNYRBwAAAAAAAABIqgNhuSQNHDhQAwcOLLXMz89PK1eudPh4SWrYsKFmzJihGTNmVKmfAAAAAAAAAID6yenLsAAAAAAAAAAA4GyE5QAAAAAAAAAAwyMsBwAAAAAAAAAYHmE5AAAAAAAAAMDwCMsBAAAAAAAAAIZHWA4AAAAAAAAAMDzCcgAAAAAAAACA4RGWAwAAAAAAAAAMj7AcAAAAAAAAAGB4hOUAAAAAAAAAAMNzKCzfuHGjTp8+XWrZ4cOH9dFHH1WpUwAAAACqhjk7AAAAUDkOheUvvPCCDh8+XGpZUlKSXn755ar0CQAAAEAVMWcHAAAAKse1MpVHjRolSbJarZoxY4YsFotdudVqVWpqqlq3bl19PQQAAABQYczZAQAAAMdUKiy3Wq2SJJPJJKvVatsu5uLiop49e+rxxx+vvh4CAAAAqDDm7AAAAIBjKhWWr169WpIUGBioadOmKTw8vEY6BQAAAMAxzNkBAAAAxzi0Zvns2bPVpk2bau4KAAAAgOrCnB0AAAConEo9WV5s0KBBOnPmjLZv367Tp0+XWuf++++vSr8AAAAAVAFzdgAAAKByHArLt23bpueee055eXkl1kCULq6PyMQbAAAAcB7m7AAAAEDlOBSWv/rqq7rxxhs1ZcoUNWvWrLr7BAAAAKCKmLMDAAAAleNQWH7s2DFNmTJFoaGh1d0fAAAAANWAOTsAAABQOQ69wWfbtm2VlZVV3X0BAAAAUE2YswMAAACV41BYPnHiRL3xxhs6cuRIdfcHAAAAQDWo7jl7bm6u5s6dqx49eig8PFwPPfSQ9uzZYys/cuSIoqKi1KlTJ4WHh+vpp5/WqVOnqqVtAAAAoDY4tAzLhAkTlJ2drT59+pRabjKZlJycXKWOAQAAAHBcdc/ZY2Ji9MMPP2j27Nlq2bKl1qxZo6ioKP3973+Xt7e3xowZIx8fH61du1a5ubmKjo7WhAkTtHr16uq6JAAAAKBGORSWjxo1SiaTqbr7AgAAAKCaVOecPT8/X1u2bNHs2bN12223SZKmTJmixMRE7dixQ35+fjp48KCWLVsmPz8/SdLkyZP1+OOPKz09XTfccEO19AMAAACoSQ6F5ePHj6/ufgAAAACoRtU5Z3dzc9POnTvl7u5u2+fi4iIXFxfl5OQoJSVFFovFFpRLUlBQkCQpNTWVsBwAAABXBYfC8l27dl2xTkREhCOnBgAAAFANqnPObjKZ5OHhYdvOz8/Xm2++KbPZrL59+yoxMVGenp52xzRp0kSSlJ2dXYleAwAAAM7jUFg+cuRImUwmWa1Wu/2X/pnnf/7zn6r1DAAAAIDDamLOXlhYqFtuuUV5eXkym81688035ePjo6KiohJLvhRvFxUVOXgFFZeWliYXF5cabcPd3V3t2rWTJBUWFMh6oaBG2yvmUlho+3dhYWGttWsqKLC9WDxw4IDy8vJK1MnPz1dSUlKt9AdXH+4PlIV7A+Xh/kB5HLk/KjsXdSgsX7VqVan7T506pRkzZuiZZ55x5LQAAAAAqklNzNnNZrM2btyoc+fOacOGDZowYYLef/99mUymEi9EikN6s9lc6XYqy9/fXxaLpcbbKWZ2dZUaOPRSyoHGzJf801x77br+3k7xLwkul5SUZFtuB7gc9wfKwr2B8nB/oDyO3B/Z2dlKSUmpcH2HZlq33nprmWVnzpzRpk2bNGzYMEdODQAAAKAa1NScvXhd8uDgYH399ddKTEyUj4+PMjMz7eoVbzdu3LjSbQAAAADOUO1/q9i2bdtKpfUAAAAAaldl5+yHDx9Wz549SyzbYjab1aBBAwUEBCg3N9funMnJyZKkgICA6uk0AAAAUMOqNSwvLCzUli1bSry5DwAAAIC6wZE5e+vWrWWxWDR9+nTt3btX6enpeuONN5Senq6+ffsqIiJCbdq0UUxMjPbv3699+/YpLi5OXbt2la+vbw1eDQAAAFB9HFqGpWfPniXewEeSTp8+rby8PD3//PNV7hgAAAAAx1XnnN1sNmvFihV69dVXNW7cOP32228KCAjQihUr1LFjR0lSfHy8YmNjNWLECLm4uKhbt26Kjo6utusBAAAAaprDa5aXNvH29vbWHXfcocjIyCp3DAAAAIDjqnvO7uPjo7lz55ZZ7ufnp5UrV1a6nwAAAEBd4VBYPmfOnOruBwAAAIBqxJwdAAAAqByHwvJi6enp+u6773TmzBk1bdpUt99+u1q1auXw+TIyMnTvvfcqMDBQq1evliQdOXJEsbGx2rVrl1xcXNSlSxdFR0erefPmtuM2b96sJUuW6OjRo/L29tbDDz+sxx9/3Fael5enV155RVu3blVOTo6CgoL04osvKjQ01PGLBwAAAK4C1T1nBwAAAOorh8PyWbNmac2aNSoqKrLtc3Fx0ciRI/XCCy84dM5p06bp3Llztu3CwkKNGTNGPj4+Wrt2rXJzcxUdHa0JEybYwvTdu3dr8uTJevbZZ9W7d2/t3r1b06dPV7NmzTRo0CBJ0syZM/XVV19pwYIFat68uZYuXaqoqCh9+umnaty4saNDAAAAANRpNTFnBwAAAOorF0cOSkhI0Jo1azR27Fht27ZN+/bt02effaYnn3xS77zzjv72t79V+pzr16/Xzz//rF69etn27dmzRwcPHtT06dMVGBiosLAwTZ48WTt37lR6errtuLCwMEVFRcnf319DhgxRnz59lJiYKEnKz8/Xpk2bNG7cOHXu3Fnt27dXbGyscnJy9Nlnnzly+QAAAECdVxNzdgAAAKA+cygs/+CDDxQVFaWnnnpKrVq1kpubm66//nqNHz9ejz/+uN57771Kne/48eOaPXu2YmNj1ahRI9v+lJQUWSwW+fn52fYFBQVJklJTU211OnbsaHe+oKAgW/mhQ4eUn59vO06SGjVqJD8/P1sdAAAAoL6p7jk7AAAAUN85FJYfP35cN998c6llN998s3799ddKnW/q1Knq2bOnunfvbrf/7Nmz8vT0tNvXpEkTSVJ2dnaZdby8vGzLuRR/vjSEv7wOAAAAUN9U95wdAAAAqO8cWrP8uuuu048//qhu3bqVKPv3v/8tHx+fCp9r3bp1+vnnn7Vly5YSZUVFRTKZTHb7ireL110sq47VapV0cd3zS48rrU5NS0tLk4uLQ7+XqDB3d3e1a9euRtuoqw4cOKC8vLxqOVd+fr6SkpKq5VxGw9g5jrGrGsbPcYxd1TB+jmPsfnfpWuLVrTrn7AAAAIAROBSWP/TQQ5o3b54aNGig++67Tz4+Pvrf//6nzZs3Kz4+Xn/5y18qdJ5ff/1Vc+bMUVxcXKlvtGkymUq8gCgOuM1mc7l1isuLQ+rLg/FL69Q0f39/WSyWWmnLiKrzlwRJSUl2S/ag4hg7xzF2VcP4OY6xqxrGz3GM3e+ys7OVkpJSI+eurjk7AAAAYBQOheWPPPKIjh07psWLF2vx4sV2ZcOHD1dUVFSFzhMfH6/s7GxNmjTJtu/8+fMqKipSWFiYHn/8cWVmZtodU7xdHK5bLJYSdbKysmxLsxSH1GfOnNH1119fah0AAACgvqmuOTsAAABgFA6F5ZL04osvauTIkfr22291+vRpNW7cWJ07d1abNm0qfI7x48fr0Ucftds3f/58HT9+XPPnz1daWppyc3OVkpKigIAASVJycrIk2bYDAgK0d+9eu3MkJSUpMDBQ0sWnut3c3LR3716FhoZKuvgET3p6uq0OAAAAUB9Vx5wdAAAAMAqHw3JJuv766+2e1q6sZs2aqVmzZnb7PDw85O7uLj8/P7Vq1Upt2rRRTEyMpk6dqqKiIsXFxalr167y9fWVJA0ZMkQjR47U4sWLde+99+qHH37Q1q1bNXfuXEkX1/IeMGCAli1bJj8/P1133XV688035eHhoV69ejl+8QAAAMBVoKpzdgAAAMAoKvWuk8ePH9fEiRP1wAMPlCgbPny4Jk+erIyMjGrrnKurq+Lj4+Xh4aERI0Zo9OjRatu2rS0Il6SIiAjFxcXp448/1oABA/TGG2/oueeeU79+/Wx1pk2bpp49e2rSpEkaNGiQfv31VyUkJLCOOAAAAOqd2p6zo55yvfJzVe7u7rXQEQAAgNpT4SfLDxw4oD/+8Y8ymUzq379/ifLQ0FBt2rRJX331lTZs2KCWLVs61KE5c+bYbfv5+WnlypXlHjNw4EANHDiwzPKGDRtqxowZmjFjhkN9AgAAAK4GtTVnhwE0vfL7O7Vr164WOgIAAFB7Kvxk+cKFC+Xr66tPPvlE06ZNK1H+4osv6pNPPlHLli21aNGiau0kAAAAgCtjzg4AAAA4rsJPln///fd66aWX5OXlVWYdLy8vjRo1SkuWLKmOvgEAAACoBObsqAmF72yRNeN0yf0FBTJXYLmWyjD5NJV5RMm/igAAAKgNFZ7Z5Ofny9vb+4r1fHx8WAMRAAAAcALm7KgJ1ozT0tGS94v1QoHUoHrDcmu1ng0AAKByKrwMy/XXX6+ffvrpivVSUlLk6+tbpU4BAAAAqDzm7AAAAIDjKhyWDx48WMuXL9dXX31VZp3vv/9eb775ZrlvtgkAAACgZjBnBwAAABxX4b+ZGzVqlPbs2aOoqCjdeOONCgoKUosWLSRJJ0+eVHJyspKSktS1a1dFRUXVWIcBAAAAlI45OwAAAOC4CoflLi4uWrx4sTZv3qyNGzdq27ZtyszMlNVqlaenpwICAvTKK69o0KBBNdlfAAAAAGVgzg4AAAA4rtLvxjJgwAANGDCgJvoCAAAAoBowZwcAAAAqr8JrlgMAAAAAAAAAUF8RlgMAAAAAAAAADI+wHAAAAAAAAABgeITlAAAAAAAAAADDIywHAAAAAAAAABgeYTkAAAAAAAAAwPAIywEAAAAAAAAAhkdYDgAAAAAAAAAwPMJyAAAAAAAAAIDhEZYDAAAAAAAAAAyPsBwAAAAAAAAAYHiE5QAAAAAAAAAAwyMsBwAAAAAAAAAYHmE5AAAAAAAAAMDwCMsBAAAAAAAAAIZHWA4AAAAAAAAAMDzCcgAAAAAAAACA4RGWAwAAAAAAAAAMj7AcAAAAAAAAAGB4hOUAAAAAAAAAAMMjLAcAAAAAAAAAGB5hOQAAAAAAAADA8AjLAQAAAAAAAACGR1gOAAAAAAAAADA8wnIAAAAAAAAAgOERlgMAAAAAAAAADM/pYXlubq7mzp2rHj16KDw8XA899JD27NljKz9y5IiioqLUqVMnhYeH6+mnn9apU6fszrF582b17dtXwcHB6tGjhxISEuzK8/LyFB0drcjISIWEhGj48OHat29frVwfAAAAAAAAAKDuc3pYHhMTo08//VSzZ8/Whg0bFBwcrKioKB0/flyFhYUaM2aMLly4oLVr12rlypVKS0vThAkTbMfv3r1bkydP1uDBg7V582aNHTtWCxYs0IcffmirM3PmTG3fvl0LFizQhg0b5Ovrq6ioKGVlZTnjkgEAAAAAAAAAdYxTw/L8/Hxt2bJFTz/9tG677Ta1adNGU6ZMkdVq1Y4dO7Rnzx4dPHhQ06dPV2BgoMLCwjR58mTt3LlT6enpkqT169crLCxMUVFR8vf315AhQ9SnTx8lJiba2ti0aZPGjRunzp07q3379oqNjVVOTo4+++wzZ14+AAAAAAAAAKCOcHVm425ubtq5c6fc3d1t+1xcXOTi4qKcnBylpKTIYrHIz8/PVh4UFCRJSk1N1Q033KCUlBSFh4fbnTcoKEg7duyQJB06dEj5+fm24ySpUaNG8vPzU2pqak1eHgAAAAAAAADgKuHUJ8tNJpM8PDxkNpslXXwKfOHChTKbzerbt6/Onj0rT09Pu2OaNGkiScrOzpakUut4eXnp3LlzkmT73KhRozLrAAAAAAAAAACMzalPlhcrLCzULbfcory8PJnNZr355pvy8fFRUVGRTCaTXd3i7aKiItvn0upYrVbbuS89rrQ6AAAAAAAAAABjqxNhudls1saNG3Xu3Dlt2LBBEyZM0Pvvvy+TyWQLxYsVB9zFT6OXVae43MXFxe640urUtLS0NFs/aoq7u7vatWtXo23UVQcOHFBeXl61nCs/P19JSUnVci6jYewcx9hVDePnOMauahg/xzF2v7t8HgsAAADAeepEWC7Jti55cHCwvv76ayUmJsrHx0eZmZl29Yq3GzduLEmyWCwl6mRlZdmWZrFYLJKkM2fO6Prrry+1Tk3z9/e39QPVrzp/SZCUlGS3vj0qjrFzHGNXNYyf4xi7qmH8HMfY/S47O1spKSnO7kaFZGdna+HChdq2bZvOnDmj9u3b69lnn9Vtt90mSTpy5IhiY2O1a9cuubi4qEuXLoqOjlbz5s2d3HMAAACgYpy6Zvnhw4fVs2dP/ec//7Hbbzab1aBBAwUEBCg3N9fuBURycrIkKSAgwPZ57969dscnJSUpMDBQ0sWg2s3Nza5Odna20tPTbXUAAAAAlO/555/XV199pdmzZ2vDhg1q3769nnjiCaWnp6uwsFBjxozRhQsXtHbtWq1cuVJpaWmaMGGCs7sNAAAAVJhTw/LWrVvLYrFo+vTp2rt3r9LT0/XGG28oPT1dffv2VUREhNq0aaOYmBjt379f+/btU1xcnLp27SpfX19J0pAhQ5ScnKzFixcrLS1N69ev19atWzV06FBJF5cnGTBggJYtW6bt27frl19+UUxMjDw8PNSrVy9nXj4AAABwVcjIyNDnn3+uF154QZGRkfL399fLL78sk8mkHTt2aM+ePTp48KCmT5+uwMBAhYWFafLkydq5c6fS09Od3X0AAACgQpy6DIvZbNaKFSv06quvaty4cfrtt98UEBCgFStWqGPHjpKk+Ph4xcbGasSIEXJxcVG3bt0UHR1tO0dERITi4uK0dOlSLV++XN7e3nruuefUr18/W51p06bJbDZr0qRJysnJUXBwsBISElgaBQAAAKiAa665RgsXLtTNN99s2+fq6qoGDRrIbDYrJSVFFovFtrSiJNtSO6mpqbrhhhtqvc8AAABAZTl9zXIfHx/NnTu3zHI/Pz+tXLmy3HMMHDhQAwcOLLO8YcOGmjFjhmbMmOFwPwEAAACj8vLyUt++fe32bd26Vfn5+erdu7fef//9Eu8H1KRJE0kXl0AEAAAArgZOD8sBAAAAXF2OHj2qmJgYPfXUU2revLmKiopkMpns6hRvFxUV1Xh/0tLS5OJSsytMuru7295YvrCgQNYLBTXaXjGXwkLbvwsLC+tUu1ZZVVDN/TEVFNhepB44cEB5eXnVen7Unvz8fCUlJTm7G6iDuDdQHu4PlMeR+6Oyc1HCcgAAAAAVlpWVpTFjxigiIkJRUVGSLgbjl78QsVqtki4uvVjT/P39a3WJRbOrq9Sgll5KXTJ+ZrO5TrVbcKFArtXdH9ffz1f8ywlcnZKSkmzLMQGX4t5Aebg/UB5H7o/s7GylpKRUuL5T3+ATAAAAwNXj/PnzGjdunLy8vDR//nzb0+MWi0WZmZl2dYu3GzduXMu9BAAAABxDWA4AAADgiqxWq1544QVlZWVp2bJlcnd3t5UFBAQoNzfX7qmd5ORkWxkAAABwNWAZFgAAAABXNH/+fH3zzTdKSEhQfn6+Tp48aSu7+eab1aZNG8XExGjq1KkqKipSXFycunbtKl9fXyf2GgAAAKg4wnIAAAAAV5SQkCBJeuCBB0qUbdu2TfHx8YqNjdWIESPk4uKibt26KTo6ura7CQAAADiMsBwAAADAFVXkjZFWrlxZCz0BAAAAagZrlgMAAAAAAAAADI8nywEAAAAAkFT4zhZZM07XSlsmn6Yyj+hfK20BAICKISwHAAAAAEC6GJQfzaidtmqlFQAAUBkswwIAAAAAAAAAMDzCcgAAAAAAAACA4RGWAwAAAAAAAAAMj7AcAAAAAAAAAGB4hOUAAAAAAAAAAMMjLAcAAAAAAAAAGB5hOQAAAAAAAADA8AjLAQAAAAAAAACGR1iOq5PZtUZO6+7uXiPnBQAAAAAAAFC3EZbj6mRpUiOnbdeuXY2cFwAAAAAAAEDdRlgOAAAAAAAAADC8mlnLAqhNOz6QMk/WTlte3lLXobXTFgAAAAAAAIBaQ1iOq1/mSen0r87uBQAAAAAAAICrGMuwAAAAAAAAAAAMj7AcAAAAAAAAAGB4hOUAAAAAAAAAAMMjLAcAAAAAAAAAGB5hOQAAAAAAAADA8AjLAQAAAAAAAACGR1gOAAAAAAAAADA8wnIAAAAAAAAAgOERlgMAAAAAAAAADI+wHAAAAAAAAABgeITlAAAAAAAAAADDc3V2B7Kzs7Vw4UJt27ZNZ86cUfv27fXss8/qtttukyQdOXJEsbGx2rVrl1xcXNSlSxdFR0erefPmtnNs3rxZS5Ys0dGjR+Xt7a2HH35Yjz/+uK08Ly9Pr7zyirZu3aqcnBwFBQXpxRdfVGhoaK1fLwAAAAAAqF2F72yRNeN0rbRl8mkq84j+tdIWAKB6OT0sf/7553Xw4EHNnj1bLVq0UEJCgp544glt3rxZrVq10pgxY+Tj46O1a9cqNzdX0dHRmjBhglavXi1J2r17tyZPnqxnn31WvXv31u7duzV9+nQ1a9ZMgwYNkiTNnDlTX331lRYsWKDmzZtr6dKlioqK0qeffqrGjRs78/IBAAAAAEANs2aclo5m1E5btdIKAKAmOHUZloyMDH3++ed64YUXFBkZKX9/f7388ssymUzasWOH9uzZo4MHD2r69OkKDAxUWFiYJk+erJ07dyo9PV2StH79eoWFhSkqKkr+/v4aMmSI+vTpo8TERElSfn6+Nm3apHHjxqlz585q3769YmNjlZOTo88++8yZlw8AAAAAAAAAqCOcGpZfc801WrhwoW6++WbbPldXVzVo0EBms1kpKSmyWCzy8/OzlQcFBUmSUlNTJUkpKSnq2LGj3XmDgoJs5YcOHVJ+fr7tOElq1KiR/Pz8bHUAAAAAAAAAAMbm1LDcy8tLffv2lYeHh23f1q1blZ+fr969e+vs2bPy9PS0O6ZJkyaSLq51LqnUOl5eXjp37pwk2T43atSozDoAAAAAgDrA1ekrhdYeI10rAABXCaeG5Zc7evSoYmJi9NRTT6l58+YqKiqSyWSyq1O8XVRUZPtcWh2r9eIqYYWFhXbHlVYHAAAAAFAHNPW8cp36wkjXCgDAVaLO/Co7KytLY8aMUUREhKKioiRdDLSLQ/FixQG32Wwut05xuYuLi91xpdWpaWlpabZ+1BR3d3e1a9euRtuAvQMHDigvL8/Z3agz8vPzlZSU5OxuXJUYu6ph/BzH2FUN4+c4xu53l89jAQAAADhPnQjLz58/r3HjxsnLy0vz58+3PQVusViUmZlpV7d4u3HjxmXWycrKsi3NYrFYJElnzpzR9ddfX2qdmubv72/rB+oPfjlhLykpye69AVBxjF3VMH6OY+yqhvFzHGP3u+zsbKWkpDi7G0CdVPjOFlkzTtd4O6Yb28jcr2uNt1Oe2rpWSTL5NJV5RP9aaQsAgKuN08Nyq9WqF154QVlZWVqzZo3c3d1tZQEBAcrNzVVKSooCAgIkScnJybay4s979+61O2dSUpICAwMlXQyq3dzctHfvXoWGhkq6+KIkPT3dVgcAAAAAULdYM05LRzNqvp0WTWu8jSv2oZauVZJYjBQAgLI5fc3y+fPn65tvvtGcOXOUn5+vkydP2j5uvvlmtWnTRjExMdq/f7/27dunuLg4de3aVb6+vpKkIUOGKDk5WYsXL1ZaWprWr1+vrVu3aujQoZIuLk8yYMAALVu2TNu3b9cvv/yimJgYeXh4qFevXs68dAAAAAAAAABAHeH0J8sTEhIkSQ888ECJsm3btik+Pl6xsbEaMWKEXFxc1K1bN0VHR9vqREREKC4uTkuXLtXy5cvl7e2t5557Tv369bPVmTZtmsxmsyZNmqScnBwFBwcrISGBpVEAAAAAAAAAAJLqQFhekTUaV65cWW75wIEDNXDgwDLLGzZsqBkzZmjGjBmV7h8AAAAAAAAAoP5z+jIsAAAAAAAAAAA4G2E5AAAAAAAAAMDwCMsBAAAAAAAAAIZHWA4AAAAAAAAAMDzCcgAAAAAAAACA4RGWAwAAAAAAAAAMj7AcAAAAAAAAAGB4hOUAAAAAAAAAAMMjLAcAAAAAAAAAGB5hOQAAAAAAAADA8AjLAQAAAAAAAACGR1gOAAAAAIBRuLrWSjPu7u610g4AANWJsBwAAAAAAKNo6lkrzbRr165W2gEAoDoRlgMAAAAAAAAADK92/v4KAAAAAADUKYXvbJE143TNnLugQOZLlnwx3dhG5n5da7zdS13aJgAAFUFYDgAAAOCK8vLy9Mknn2j9+vUaPHiw7r//fltZUlKSZs2apf3796thw4bq3bu3XnrpJV177bXO6zCAK7JmnJaOZtTMuS8USA1+jxysLZrWSrt2fbikTQAAKoJlWAAAAACU680331SXLl00f/587dy5U0VFRbayc+fO6bHHHpOvr6/Wr1+v1157TTt27NCMGTOc2GMAAACg8gjLAQAAAJTLbDZr3rx5+vLLL0uUff7558rNzdX06dPVvn173XHHHRo7dqw+/vhj5ebm1n5nAQAAAAexDAsAAACAco0ZM6bMspSUFPn5+clisdj2BQUF6fz58zp8+LACAwNro4sAAABAlfFkOQAAAACHnT17Vp6ennb7vLy8JF1cogUAAAC4WvBkOQAAAACHFRUVyWQy2e0r3r50bfOalJaWJheXmn0OyN3dXe3atZMkFRYUXHzzwlrgUlho+3dhYWGdatcqqwqquT/OuN66PMZXc7uX3x9G+tqaCgpsYcuBAweUl5dXK+1eLfLz85WUlOTsbqCO4v5AeRy5Pyo7HyUsBwAAAOAwk8lU4kWI1WqVdHGt89rg7+9vtwxMTTO7ukoNauml1CVjaDab61S7BRcK5Frd/XHG9dbhMb6a2y1xfxjpa+v6ezvFv2TD75KSkhQUFOTsbqCO4v5AeRy5P7Kzs5WSklLh+izDAlSGmd8vAQAAXMpisSgzM9NuX1ZWliSpcePGTugRAAAA4BjCcqAyLE2c3QMAAIA6JSAgQIcPH9aZM2ds+5KTk9WwYUP5+fk5sWcAAABA5RCWAwAAAHBYnz595OHhoalTpyo1NVXffvutli5dqoEDB8rNzc3Z3QMAAAAqjDUlAEft+EDKPFnz7Xh5S12H1nw7AAAADvD09FRCQoJmzZqlwYMH69prr9Xdd9+tF154wdldAwAAACqFsBxwVOZJ6fSvzu4FAABArSrtDZJCQkK0du1aJ/QGAAAAqD4swwIAAAAAAAAAMDzCcgAAAAAAAACA4RGWAwAAAAAAAAAMj7AcAAAAAAAAAGB4hOUAAAAAAADVxdXV2T2o09zd3Z3dBQAoE2E5AAAAAABAdWnq6ewe1Gnt2rVzdhcAoEyE5QAAAAAAAAAAw6sTfxuUl5enTz75ROvXr9fgwYN1//3328qSkpI0a9Ys7d+/Xw0bNlTv3r310ksv6dprr7XVefvtt7Vq1SqdOHFCrVq10pNPPml3jtOnT2vGjBnavn27CgoKdMstt2jatGlq06ZN7V0kAAAAAAAwlMJ3tsiacbpW2jL5NJV5RP9aaassFbnewoICmau4VE1duFYA9ZPTw/I333xTK1eulLu7u06ePKlBgwbZys6dO6fHHntMd9xxh6ZPn64TJ07ohRde0IwZMzR79mxJ0qZNmzR//ny9/PLLuvnmm/XZZ59pypQp8vX1VWRkpCRp4sSJ+t///qe//vWvcnNz0yuvvKInnnhCW7ZskStriQEAAAAAgBpgzTgtHc2onbZqpZXyVeR6rRcKpAZVy2LqwrUCqJ+cvgyL2WzWvHnz9OWXX5Yo+/zzz5Wbm6vp06erffv2uuOOOzR27Fh9/PHHys3NlSStW7dO99xzjx588EH5+/trzJgxuummm7R+/XpJ0rFjx/TNN9/ohRde0E033aQbb7xR06dP16FDh7Rr167avFQAAAAAAAAAQB3l9LB8zJgx6tGjR6lPeKekpMjPz08Wi8W2LygoSOfPn9fhw4clSampqQoKCrI7LigoSKmpqbZzSFLHjh1t5W3bttW1115rqwMAAAAAAAAAMDanh+XlOXv2rDw97d9F2svLS9LFJVqK6zRq1KhEnUvLJZV6nuI6AAAAAAAAAABjq9NheVFRkUwmk92+4u2ioqJy61itVrt65dUBAAAAAAAAABhbnX53S5PJZAu7ixUH3Gazudw6xeUuLhd/H1BUVGT79+V1alpaWppd2zXB3d1d7dq1q9E24HwHDhxQXl6es7tRqvz8fCUlJTm7G1clxq5qGD/HMXZVw/g5jrH73eXzWAAAAADOU6fDcovFoszMTLt9WVlZkqTGjRuXW6d42ZXi9c4zMzPVtGlTW53MzEzbOWqav7+/3brrgKPq8i9EkpKSSrx/ACqGsasaxs9xjF3VMH6OY+x+l52dbXuPHQAAAADOVaeXYQkICNDhw4d15swZ277k5GQ1bNhQfn5+tjp79+61Oy4pKUmBgYG2ckn697//bSs/dOiQcnJybGUAAAAAAAAAAGOr02F5nz595OHhoalTpyo1NVXffvutli5dqoEDB8rNzU2SNGTIEG3btk1r1qzRoUOHlJCQoL179+rBBx+UJF1//fW67bbbFBcXp927d+vnn3/Wyy+/rPbt2ys8PNyZlwcAAAAAAAAAqCPq9DIsnp6eSkhI0KxZszR48GBde+21uvvuu/XCCy/Y6tx///06ffq0EhISNHv2bLVq1Urz5s1TWFiYrc5rr72m2NhYjRkzRoWFhYqIiNCbb75Z4+uIAwAAAAAAAACuDnUqLC9tvcaQkBCtXbu23OP+9Kc/6U9/+lOZ5c2aNdPChQur3D8AAAAAAAAAQP3Eo9UAAAAAAAAAAMMjLAfqOnOd+gMQAAAAAAAAoF4iLAfqOksTZ/cAAAAAAAAAqPcIywEAAAAAAAAAhsf6DsDVZMcHUubJ2mnLy1vqOrR22gIAAAAAAACcjLAcuJpknpRO/+rsXgAAAAAAAAD1DsuwAAAAAAAAAAAMj7AcAAAAAAAAAGB4LMMCAAAAAAAAVELhO1tkzThdK22ZfJrKPKJ/rbQFGB1hOQAAAAAAAFAJ1ozT0tGM2mmrVloBILEMCwAAAAAAAAAAhOUAAAAAAAAAABCWAwAAAAAAAAAMj7AcAAAAAAAAAGB4hOUAAAAAAAAAAMMjLAcAAAAAAAAAGB5hOYDSmV0rVd3d3b2GOgIAAAAAAADUPMJyAKWzNKlU9Xbt2tVQRwAAAAAAAICaR1gOAAAAAABwtXOt3F8HAwBK4n9SAFe24wMp82TttOXlLXUdWjttAQAAAEB90dTT2T0AgKseYTmAK8s8KZ3+1dm9AAAAAAAAAGoMYTkAAAAAAEA9UvjOFlkzTtdKW6Yb28jcr2uttAXUhlr9/vFpKvOI/rXSFiqGsBwAAAAAAKAesWaclo5m1E5bLZrWSjtAbanV759aaQWVwRt8AqhbzPwODwAAAAAAALWPsBxA3WJp4uweAAAAAAAAwIAIywEAAAAAAAA4nbu7u7O7AINjvQMAddeOD6TMk7XTVtOW0h2Da6etyzAZAAAAAABAateunbO7AIMjLAdQd2WelE7/WjttNfaunXZKwWQAAAAAAADA+QjLAQAAAAAAAJSp8J0tsmacrvF2ipp7ye2RATXeDlAWwnIAuFxtLf/i5S11HVrz7QAAAAAAUAXWjNPS0Yyab6egoMbbAMpDWA4Al6ut5V/M/BcMAAAAAABQV7g4uwMAYFiWJs7uAQAAAABcfVx58AhAzSAsBwAAAAAAwNWjqaezewCgnuJXcQBQF9TWOumS1LqDFHZX7bRVC9zd3Z3dBQAAAAAAUA8YJiwvKirSggULtGHDBmVmZqpt27aaOHGi7rzzTmd3DQBqb510SWrsXTvt1JJ27do5uwsAADHfBgA4R+E7Wy6++WQtMN3YRuZ+XWulLaC21Nb3kMmnqcwj+td4O1VlmLB8+fLleu+99/TKK6+obdu2eu+99zRu3Dh9/PHHatOmjbO7BwDOwRPthsZT+QCqE/NtAIAzWDNOS0czaqetFk1rpR2gNtXW95C1xluoHoYJy9etW6eHH35Yd911Mah58cUXtXXrVn300Uf6y1/+4uTeAYCTOOuJdkL6OoGn8qvGZDI5uwtAncJ8GwAAAFc7Q4Tl2dnZOnbsmIKCgmz7XFxc1LFjR6WmpjqxZwBgUPU9pCegN4RGjRo5uwtXLf6qof5hvg0AAID6wBBh+blz5ySVfFHr5eWl//73v9XeXmFhod12Tk5OtbdRrqbXS2619ALe4i1lZ9NufWuTdvna1td2Xdxrp12r6+9t/vKjlHuu5tuUJK8W0vWBzm3XQJo0aaLs4q8zKsXHx4ex+/8unydePo+8Whhtvl3YxkfWxg1rpS1TSy+Z///3S11rt6igUC6u5lpvt7rV5TG+mtu9/P7ga0u7xarj/46r5Vqrrd0mnrZ2naW2rtfauJEuGORaJWN9bavjWouKiir9OqKy822T1Wq9WpaMcdjRo0fVq1cvrVq1SpGRkbb9U6ZM0bFjx7R69epqbe/EiRM6cuRItZ4TAAAA9d/111+vFi1aOLsblcZ8GwAAAFeDK823XWqxL07j4nLxMouKiuz2W61Wmc3V+yQEAAAAYDTMtwEAAFAfGCIst1gskqTMzEy7/VlZWfL09HRCjwAAAID6g/k2AAAA6gNDrFnu6ekpX19f7d27V/fcc4+ki0+9/Oc//9GwYcOqvT0vLy+77WuuuYYnagAAAFBCYWGh8vPzbduXzyOvFsy3AQAAUBdVdr5tiLBckoYMGaKEhASFhIToxhtv1AcffKAzZ87ovvvuq/a23Nzcrsq1JgEAAABHMd8GAADA1c4wYfmf//xn5ebmavbs2crMzNQf/vAHLVu2TK1bt3Z21wAAAICrHvNtAAAAXO1MVqvV6uxOAAAAAAAAAADgTIZ4g08AAAAAAAAAAMpDWA4AAAAAAAAAMDzCcgAAAAAAAACA4RGWAwAAAAAAAAAMj7AcAAAAAAAAAGB4hOUAAAAAAAAAAMMjLAcAAAAAAAAAGB5hOQAAAAAAAADA8AjLAQAAAAAAAACGR1gOAAAAAAAAADA8wnIAAAAAAAAAgOERlgMAAAAAAAAADI+wHAAAAAAAAABgeITlAAAAAAAAAADDIywHAAAAAAAAABgeYXk9UVRUpNdee01dunRRcHCw7rvvPv3rX/9ydrfqpOzsbM2aNUs9e/ZUWFiYhg4dqu+++85WfuTIEUVFRalTp04KDw/X008/rVOnTjmxx3VTRkaGIiIiNHLkSNs+xq58VqtViYmJGjZsmMLDw7V161a7csavbEVFRVq2bJl69eqlsLAwDR8+XD/88IOtnLGzl5eXp40bN2rkyJHauHGjXVlSUpL++Mc/KjQ0VJGRkXrppZeUk5NjV+ftt99Wz549FRwcrLvvvrvEOeqz8sbu22+/1fDhwxUeHq5u3bpp1qxZjN0lyhu7S82dO1cBAQH6/vvv7fYbeeyAuqQ65sqbN29W3759FRwcrB49eighIaG2LwM1IDc3V3PnzlWPHj0UHh6uhx56SHv27LGVc2+gmKOvFbk/6rfIyEgFBATYfYwdO1YS94fRVUdWUq33hxX1wtKlS6233HKL9dNPP7X+8ssv1hkzZliDgoKsaWlpzu5anTN27Fhr3759rd9995314MGD1hdffNEaGhpqPXz4sLWgoMDat29f6yOPPGL9z3/+Y/3hhx+s9957r3XEiBHO7nadExUVZQ0ICLCNDWN3ZdHR0dbw8HDr3/72N+uBAwes+fn5tjLGr3xvvfWWNTQ01Pr3v//devDgQeuUKVOs4eHh1v/+97+M3WWWLl1qvfnmm6133HGHtUOHDtb169fbys6ePWuNjIy0Pvvss9bU1FTrV199Ze3atat1ypQptjofffSRNSgoyLpu3TrrwYMHrcuXL7cGBARYv/vuO2dcTq0qb+x++ukna8eOHa0LFy60pqWlWb/88kvrbbfdZp02bZqtDmNX+thd6scff7R27NjR2qFDB7txMfLYAXVNVefKu3btsgYGBlrj4+OtBw8etH7wwQfWoKAg64YNG5x4VagOkyZNsvbq1cv67bffWtPS0qwzZ860hoWFVXg+xr1hHI68VuT+qN/y8/OtHTp0sG7dutV64sQJ20dWVhb3B6qclVT3/UFYXk/06NHD+vrrr9u2CwsLrV26dLEuWLDAeZ2qg44fP27t0KGD9V//+pdt3/nz56033XST9Z133rF+//331g4dOlgPHTpkK9++fbu1Q4cO1sOHDzujy3VSYmKitWvXrtaxY8fa/oNi7Mr3zTffWDt06GD9+uuvSy1n/Mo3bNgw69SpU23b+fn51tDQUOv777/P2F1m+fLl1i+++MJ64cKFEqHlhg0brKGhodZz587Z9r333nvW4OBga05OjtVqtVpHjBhhfe655+zOOXToUOukSZNq5wKcqLyxe+mll6xDhgyxq7906VJrZGSkbZuxK33siuXl5Vnvvvtu6/Tp00uE5UYeO6AuqY658pQpU6wPPfSQ3XknTJhg/eMf/1g7F4EakZeXZ+3YsaP1o48+su0rKCiwdurUyfrBBx9wb8DG0deK3B/125EjR6wdOnSw/vLLLyXKuD+MrTqykuq+P1iGpR7Izs7WsWPHFBQUZNvn4uKijh07KjU11Yk9q3uuueYaLVy4UDfffLNtn6urqxo0aCCz2ayUlBRZLBb5+fnZyovHlbG86Pjx45o9e7ZiY2PVqFEj237GrnyJiYnq3Lmzbr/99lLLGb/y5eTk6JprrrFtN2jQQA0aNFBOTg5jd5kxY8aoR48ecnV1LVGWkpIiPz8/WSwW276goCCdP39ehw8flnRxzC79eVJcxwhjWd7Y3X///Zo6dardvoYNG9rVZexKH7tir7/+ujw9PTV69OgSZUYeO6AuqY65ckpKijp27Gh3Xr6fr35ubm7auXOn+vfvb9vn4uIiFxeXCs/HuDfqv6q8VuT+qN9OnjwpSWrRokWJMu4PY6uOrKS67w/C8nrg3LlzkmT3w0iSvLy8bGW4yMvLS3379pWHh4dt39atW5Wfn6/evXvr7Nmz8vT0tDumSZMmki7+UgLS1KlT1bNnT3Xv3t1uP2NXvr1798rb21vjxo1T165dNXDgQLv1eBm/8t177736+OOP9fPPP6ugoEDx8fEqKirS3XffzdhVQmlj5eXlJen3nyVnz57l50kpbrnlFoWGhtq2CwoK9OGHH6pfv362fYxd2X744Qe99957euWVV+TiUnL6ydgBdUN1zJXL+lnD9/PVzWQyycPDQ2azWZKUn5+vhQsXymw2q2/fvtwbkFS114rcH/XbyZMnZTKZ9Mwzz6hz584aMGCA/va3v8lqtXJ/GFx1ZCXVfX+U/fgPrhqFhYWSLk5gLmUymWS1Wp3RpavG0aNHFRMTo6eeekrNmzdXUVFRqeMoXXyDQaNbt26dfv75Z23ZsqVEGWNXvhMnTuizzz7TpEmTNH78eP3zn//U888/L4vFot69ezN+VxAVFaVdu3Zp4MCBMpvNKiws1KJFi+Tr68vYVUJFxqqsOvw8sTd//nz973//07hx42z7GLvS5eXl6YUXXtDYsWP1hz/8QUePHi1Rh7ED6iZH5sp8P9dvhYWFuuWWW5SXlyez2aw333xTPj4+3Buo8mtF7o/6rXnz5urWrZsGDx4sPz8/ffPNN5o7d67MZjP3h8FVR1ZS3fcHYXk9UPyE1uWhkNVqtf3mHyVlZWVpzJgxioiIUFRUlKSL30yljaMkw4/lr7/+qjlz5iguLk6NGzcuUc7Yle/8+fN69tln9fDDD0uSAgMDbU9a9u7dm/G7goULFyo1NVVvvPGGWrdura1bt+qll15S27ZtGbtKqMhYlVWHsfzd2rVr9e6772rVqlV2/x8ydqV79dVXZbFY9Pjjj5dZh7ED6h5H58p8P9dvZrNZGzdu1Llz57RhwwZNmDBB77//PveGwVXHa0Xuj/otPDxc8fHxtu3AwEAdOnRI7777rvr168f9YWDVkZVU9/1BWF4PFK89m5mZabc/KyurxJ8h4KLz589r3Lhx8vLy0vz5822/gbJYLCXGsXi7tB/6RhIfH6/s7GxNmjTJtu/8+fMqKipSWFiYHn/8ccauHC1atJC7u7vdvg4dOujLL7+UxL1XntzcXCUkJGjmzJm66667JEk33nij9uzZoxUrVqhjx46MXQWVdp9lZWVJ+n2syqrDz5OLvvzyS82cOVMLFixQp06d7MoYu5JOnjypd955R2azWbfccouk3ye3UVFRuvXWW5WQkMDYAXVMVebKfD/Xf8XrxgYHB+vrr79WYmKifHx8uDcMrDpeK3J/GE9gYKA2bdrEzxaDq46spLrvD9Ysrwc8PT3l6+urvXv32vYVFRXpP//5jwIDA53Ys7rJarXqhRdeUFZWlpYtW2b3TRkQEKDc3FylpKTY9iUnJ9vKjGz8+PH69NNPtXHjRttHz549FRwcrI0bNyooKIixK0dISIh27txpt+/QoUNq1aqVJO698hQWFqqgoMDuDT6li2+umJeXx9hVQkBAgA4fPqwzZ87Y9iUnJ6thw4a2F74BAQF2P08kKSkpiZ8nkvbv368JEyYoJiZGvXv3LlHO2JXUpEkTffLJJ9qyZYvtZ0fxU0UzZ87UrFmzJDF2QF1S1bky38/10+HDh9WzZ0/95z//sdtvNpvVoEED7g2Dq47Xitwf9dvEiRMVHR1tty8tLU0tW7bk/w+Dq46spLrvD8LyemLIkCF6//33tWXLFh08eFBz587VmTNndN999zm7a3XO/Pnz9c0332jOnDnKz8/XyZMnbR8333yz2rRpo5iYGO3fv1/79u1TXFycunbtKl9fX2d33amaNWsmPz8/uw8PDw+5u7vLz89PXbp0YezKMW7cOH355ZeKj4/XoUOHtGbNGn3xxRe2PzWKiIhg/MpgsVjUrVs3LVq0SDt37tSRI0e0Zs0a7dixQ/369WPsKqFPnz7y8PDQ1KlTlZqaqm+//VZLly7VwIED5ebmJuniz5Nt27ZpzZo1OnTokBISErR37149+OCDTu69cx09elRPPPGEHnzwQXXv3t3uZ0fxG8cwdiW5urqW+Nlx3XXXSZJ8fHzk4+MjibED6pKqzpWHDBmi5ORkLV68WGlpaVq/fr22bt2qoUOHOvnKUBWtW7eWxWLR9OnTtXfvXqWnp+uNN95Qenq6+vbtW6H5GPdG/VUdrxW5P+q3e+65Rxs2bNC6det05MgRbdq0SevWrdOwYcP4/8PgqiMrqe77w2RlNfx6obCwUK+//ro2btyozMxM/eEPf9DkyZN1++23O7trdU55T5pu27ZNhYWFio2N1Z49e+Ti4qJu3bopOjpaTZs2rcVeXh2mTJmiY8eOafXq1ZIuPnHC2JXtiy++0Guvvab09HT5+fnpiSee0L333msrZ/zKlpWVpddff13//Oc/lZmZKT8/P/3pT3/S/fffL4mxK0tAQIBmz56tBx54wLbvp59+0qxZs5SUlKRrr71Wd999t1588UW7Jwf/+te/avXq1Tp58qRatWql8ePH292rRnD52L3xxhtavHhxqXUHDRqkOXPmSGLspNLvu0sdPXpUvXr10qpVqxQZGWnbz9gBdUN1zJU/+ugjLV26VMeOHZO3t7ceeeQRjR49uhZ6j5qUkZGhV199Vd98841+++03BQQE6C9/+Ys6d+4sqWLzMe4N43DktSL3R/320UcfKSEhQenp6WrZsqWGDBmiRx99VGazmfvD4KojK6nO+4OwHAAAAAAAAABgeCzDAgAAAAAAAAAwPMJyAAAAAAAAAIDhEZYDAAAAAAAAAAyPsBwAAAAAAAAAYHiE5QAAAAAAAAAAwyMsBwAAAAAAAAAYHmE5AAAAAAAAAMDwCMsBAAAAAAAAAIZHWA4ABtSzZ09NmTKlSuc4evSoAgICtGHDhnLrjRw5UiNHjiy3zo8//qjIyEj9+OOPVeoTAAAAUBcw3waAqxNhOQCgVn3//fcKCAjQ999/b9sXGhqqd955R6GhoU7sGQAAAHD1Y74NAI5zdXYHAAAwm81q3769s7sBAAAA1EvMtwGgYniyHAAMqqCgQK+99pq6dOmi8PBwPfHEE8rIyLCV79u3T48++qjCwsJ06623auLEiTp+/Hi558zIyNDYsWN10003qXPnznrllVd04cIFW3nPnj01atQoSdKoUaPUs2dPSSWfftmwYYMCAgL097//XQ888ICCg4PVvXt3vfvuuzp+/LjGjx+v8PBw3XbbbZoyZYqys7Pt+vHll1/qgQceUGhoqHr37q01a9ZUy5gBAAAAFcV8GwCuPoTlAGBQ//jHP5SWlqZXXnlFU6ZM0a5du/TKK69Iujhxf/jhh2W1WjV37lxNmTJFP/zwg/74xz8qMzOz1PNZrVY9+eST2rNnj6ZMmaK4uDidPHnSbl3EhQsXaurUqZKkqVOnauHCheX28Y033tBjjz2mJUuWqE2bNoqNjdXQoUPVunVrLVq0SH/605/00UcfacmSJbZjPv30U/35z39WQECAFi9erH79+mnmzJlKTEys4ogBAAAAFcd8GwCuPizDAgAGFRoaqkWLFslkMkmSkpKS9Omnn0qS5s2bJ19fXyUkJMjV9eKPivDwcPXv319vv/22nnnmmRLn+/LLL5WUlKQlS5aod+/ekqSuXbvql19+sdUJCQlRTk6OJKlDhw4KCQkpt49z585VcHCwJKl9+/bq0aOHQkJC9Pzzz0uSunTpou+++047d+60HTNnzhxFRkZq9uzZkqQ777xTR48e1V//+lc9+OCDlR4nAAAAwBHMtwHg6sOT5QBgUH5+fraJuyQ1b95cp0+fVn5+vnbt2qX+/fvbJu6S1KZNG4WHh+vbb78t9Xw//fSTGjRoYPtTT0kymUzy8vJyuI+XHnvddddJkgIDA+3qtGjRQmfOnJEkpaWl6dixY7rnnntUUFBg++jUqZMOHDig3377zeG+AAAAAJXBfBsArj48WQ4AsJOZmSmr1SofH58SZc2bN1dSUlKpx506dUpeXl5ycXHe72H/97//SZJiYmIUExNTovzs2bPy8PCo7W4BAAAANsy3AaDuIiwHANhp1KiRXFxcdOrUqRJlJ06cUNOmTUs9ztvbW1lZWbJarXZP0NQmi8UiSZo8ebJuvfXWEuXNmjWr7S4BAAAAdphvA0DdxTIsAAA71157rW666Sb94x//UGFhoW3/4cOH9eOPP+qOO+4o9bjQ0FCdP39e27dvt+2zWq06ffq0Xb3iJ2GsVmu1971du3by8vLSgQMHFBISYvsIDAxUq1at5ObmVu1tAgAAAJXBfBsA6i6eLAcAlPDcc89p9OjRGjNmjB566CFlZ2dr8eLF8vHx0SOPPFLqMXfeeadCQkI0ZcoUTZgwQb6+vkpMTNQvv/xi99SJr6+vJOnDDz9UXl6eunfvXm39btCggSZOnKjo6Gi5uLiod+/eys/P11tvvaUGDRpo9erV1dYWAAAA4Cjm2wBQNxGWAwBKuOWWW/T222/r9ddf17PPPqtrr71WXbp00aRJk+Tp6VnmcUuWLNHLL7+sWbNmyd3dXQMGDFDPnj2VnZ1tq9O6dWs99thjWrt2rfbv31+tk3dJGjp0qDw8PBQfH6+NGzfKYrGoR48emjRpUrW2AwAAADiK+TYA1E0ma038XQ4AAAAAAAAAAFcR1iwHAAAAAAAAABgeYTkAAAAAAAAAwPAIywEAAAAAAAAAhkdYDgAAAAAAAAAwPMJyAAAAAAAAAIDhEZYDAAAAAAAAAAyPsBwAAAAAAAAAYHiE5QAAAAAAAAAAwyMsBwAAAAAAAAAYHmE5AAAAAAAAAMDwCMsBAAAAAAAAAIZHWA4AAAAAAAAAMLz/B7XaxhXu0aVbAAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axs = plt.subplots(1, 2, figsize=(15, 5))\n", "sns.histplot(data=member_holdtime_df, x=member_holdtime_df.loc[member_holdtime_df['holdtime'] <= 150]['holdtime'], bins = 20,color=\"#ffa07a\", alpha = 1.0, ax=axs[0])\n", "axs[0].set_title(\"Holdtime up to 5 months\")\n", "sns.histplot(data=member_holdtime_df, x=member_holdtime_df.loc[member_holdtime_df['holdtime'] > 151]['holdtime'], bins = 20, color=\"#FB607F\", alpha = 0.9, ax=axs[1])\n", "axs[1].set_title(\"Holdtime over 5 months\")\n", "fig.tight_layout()\n", "# plt.savefig(\"_static/images/hold_times_dist2.png\", format=\"png\", dpi=1200)\n", "plt.show()" ] }, { "attachments": {}, "cell_type": "markdown", "id": "46935d2e", "metadata": {}, "source": [ "![](_static/images/hold_times_dist2.png)" ] }, { "cell_type": "code", "execution_count": 9, "id": "8fb03088", "metadata": { "tags": [ "hide_input", "remove_output" ] }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Distribution of member hold times value counts\n", "plt.figure(figsize = (10,5))\n", "plt.title(\"Figure 2. Puzzle Packs per Member\", weight='heavy',y =1.1, x=0.16).set_fontsize('18')\n", "z=sns.histplot(data=member_holdtime_df['memberID'].value_counts().reset_index(name='freq'), x='freq', bins = 20, color=\"#FF3D4D\", alpha = 0.9)\n", "sns.despine(left=True, bottom=False)\n", "z.spines['bottom'].set_color('#DDDDDD')\n", "z.yaxis.grid(True, color='#EEEEEE')\n", "z.xaxis.grid(False)\n", "plt.xlabel(\"Count of Members\", size=17, weight=500)\n", "plt.ylabel(\"Count of Puzzle Packs\", size=17, weight=500)\n", "plt.tight_layout()\n", "# plt.savefig(\"_static/images/members_dist2.png\", format=\"png\", dpi=1200)\n", "plt.show()" ] }, { "attachments": {}, "cell_type": "markdown", "id": "dd6eb5b1", "metadata": {}, "source": [ "![](_static/images/members_dist2.png)" ] }, { "attachments": {}, "cell_type": "markdown", "id": "337b5a72", "metadata": {}, "source": [ "### 1.2 Packs Data\n", "\n", "* `pack_name` - name of the pack (may have more than 1 puzzle per pack)\n", "* `brand` - brand name of puzzle pack\n", "* `piece_count` - number of pieces in puzzle\n", "* `difficulty_rating` - difficulty rating for puzzle" ] }, { "cell_type": "code", "execution_count": 11, "id": "967568c6", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(920, 4)" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "packs_df = pd.read_csv('data/packs_Feb16_2023.tsv', sep='\\t', header=None)\n", "packs_df.columns = ['pack_name', 'brand', 'piece_count', 'difficulty_rating']\n", "packs_df.shape" ] }, { "cell_type": "code", "execution_count": 12, "id": "5ad01723", "metadata": { "tags": [ "remove_input" ] }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
pack_namebrandpiece_countdifficulty_rating
0Anne Belle Thompson The Mikado Anne Belle Thompson Two KimonosOther-Hand-cut387,242A-Easy,A-Easy
1Anthology Puzzles Alphonse Mucha La Plume Anthology Puzzles Fun at the FairNaN320,160Average,Average
2Anthology Puzzles Colorful Cat Anthology Puzzles Life On The ReefNaN150,170Really-Hard,A-Easy
3Anthology Puzzles Framed American Gothic Anthology Puzzles Haeckel FloralNaN320,300Average,Average
4Anthology Puzzles Over The Moon Anthology Puzzles Happy House PlantsNaN278,177Average,A-Easy
\n", "
" ], "text/plain": [ " pack_name \\\n", "0 Anne Belle Thompson The Mikado Anne Belle Thompson Two Kimonos \n", "1 Anthology Puzzles Alphonse Mucha La Plume Anthology Puzzles Fun at the Fair \n", "2 Anthology Puzzles Colorful Cat Anthology Puzzles Life On The Reef \n", "3 Anthology Puzzles Framed American Gothic Anthology Puzzles Haeckel Floral \n", "4 Anthology Puzzles Over The Moon Anthology Puzzles Happy House Plants \n", "\n", " brand piece_count difficulty_rating \n", "0 Other-Hand-cut 387,242 A-Easy,A-Easy \n", "1 NaN 320,160 Average,Average \n", "2 NaN 150,170 Really-Hard,A-Easy \n", "3 NaN 320,300 Average,Average \n", "4 NaN 278,177 Average,A-Easy " ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "packs_df.head()" ] }, { "cell_type": "markdown", "id": "5184e279", "metadata": {}, "source": [ "Separate columns into `piece_count_1`, `piece_count_2`, `difficulty_rating_1`, `difficulty_rating_2`" ] }, { "cell_type": "code", "execution_count": 13, "id": "e50e82a4", "metadata": {}, "outputs": [], "source": [ "# making two coulmns for piece count\n", "packs_df['piece_count_1'] = packs_df['piece_count'].str.split(',', expand=True)[0]\n", "packs_df['piece_count_2'] = packs_df['piece_count'].str.split(',', expand=True)[1]\n", "\n", "# making two columns for difficulty\n", "packs_df['difficulty_rating_1'] = packs_df['difficulty_rating'].str.split(',', expand=True)[0]\n", "packs_df['difficulty_rating_2'] = packs_df['difficulty_rating'].str.split(',', expand=True)[1]" ] }, { "cell_type": "code", "execution_count": 276, "id": "336f5308", "metadata": { "tags": [ "hide_input" ] }, "outputs": [], "source": [ "# creating temporary dataframe with no missing values for analysis\n", "packs_df_temp_1 = packs_df.dropna(axis=0, subset = ['piece_count_1', 'difficulty_rating_1'])\n", "packs_df_temp_2 = packs_df.dropna(axis=0, subset = ['piece_count_2', 'difficulty_rating_2'])\n", "packs_df_temp_1.piece_count_1 = packs_df_temp_1.piece_count_1.astype('int')\n", "packs_df_temp_2.piece_count_2 = packs_df_temp_2.piece_count_2.astype('int')" ] }, { "cell_type": "code", "execution_count": 277, "id": "b2df8214", "metadata": { "tags": [ "remove_input" ] }, "outputs": [ { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 Count
Really-Hard79
Hard329
A-Easy493
Average931
\n" ], "text/plain": [ "" ] }, "execution_count": 277, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#print(packs_df.difficulty_rating.unique())\n", "categories_dict = {}\n", "for i in packs_df['difficulty_rating'].dropna():\n", " categ = i.rsplit(',')\n", " if categ[0] not in categories_dict:\n", " categories_dict[categ[0]] = 1\n", " else:\n", " categories_dict[categ[0]] += 1\n", " if categ[1] not in categories_dict:\n", " categories_dict[categ[1]] = 1\n", " else:\n", " categories_dict[categ[1]] += 1\n", " # Sort by value\n", "categories_dict = dict(sorted(categories_dict.items(), key=lambda item: item[1]))\n", "categdf = pd.DataFrame.from_dict(categories_dict, orient='index',columns=['Count'])\n", "gmap = np.array([[4], [3], [2], [0]])\n", "categdf.style.background_gradient(axis=None, gmap=gmap, cmap='spring',low=0.7999,high=0.8, vmin=0.05)" ] }, { "cell_type": "code", "execution_count": 288, "id": "4d546bf7", "metadata": { "tags": [ "hide_code", "hide_input", "remove_output" ] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n" ] }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# checking category-wise distribution of piece_count\n", "plt.figure(figsize = [12,10], dpi=100)\n", "color_dict = {'A-Easy':\"#ff7f80\", 'Average':\"#e83e8c\", 'Hard':\"#ff9867\", 'Really-Hard': \"#ffb14e\"}\n", "\n", "plt.subplot(2,1,1)\n", "sns.boxplot(x = \"piece_count_1\", y= 'difficulty_rating_1', \n", " data=packs_df_temp_1, palette = color_dict, order = ['A-Easy', 'Average', 'Hard', 'Really-Hard'])\n", "plt.title(\"Puzzle one distribution\")\n", "\n", "plt.subplot(2,1,2)\n", "sns.boxplot(x = \"piece_count_2\", y= 'difficulty_rating_2', \n", " data=packs_df_temp_2, palette = color_dict, order = ['A-Easy', 'Average', 'Hard', 'Really-Hard'])\n", "\n", "plt.title(\"Puzzle two distribution\")\n", "plt.legend(loc='lower right')\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 308, "id": "2af9a516", "metadata": { "tags": [ "remove_input", "remove_output" ] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n" ] }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# checking category-wise distribution of piece_count\n", "plt.figure(figsize = [12,10], dpi=100)\n", "color_dict = {'A-Easy':\"#ff7f80\", 'Average':\"#e83e8c\", 'Hard':\"#ff9867\", 'Really-Hard': \"#ffb14e\"}\n", "\n", "plt.subplot(2,1,1)\n", "z1=sns.boxplot(x = \"piece_count_1\", y= 'difficulty_rating_1', \n", " data=packs_df_temp_1, palette = color_dict, order = ['A-Easy', 'Average', 'Hard', 'Really-Hard'])\n", "sns.despine(left=True, bottom=False)\n", "z1.spines['bottom'].set_color('#DDDDDD')\n", "z1.yaxis.grid(True, color='#EEEEEE')\n", "z1.xaxis.grid(False)\n", "plt.xlabel(\"Piece Count 1\", size=11, weight=400)\n", "plt.ylabel(\"Difficultly Rating 1\", size=11)\n", "plt.title(\"Puzzle One Distribution\",size=16, weight=700,loc='left')\n", "\n", "plt.subplot(2,1,2)\n", "z2=sns.boxplot(x = \"piece_count_2\", y= 'difficulty_rating_2', \n", " data=packs_df_temp_2, palette = color_dict, order = ['A-Easy', 'Average', 'Hard', 'Really-Hard'])\n", "sns.despine(left=True, bottom=False)\n", "z2.spines['bottom'].set_color('#DDDDDD')\n", "z2.yaxis.grid(True, color='#EEEEEE')\n", "z2.xaxis.grid(False)\n", "plt.xlabel(\"Piece Count 2\", size=11, weight=400)\n", "plt.ylabel(\"Difficultly Rating 2\", size=11)\n", "\n", "plt.title(\"Puzzle Two Distribution\",size=16, weight=700,loc='left')\n", "plt.legend(loc='lower right')\n", "plt.tight_layout()\n", "# plt.savefig(\"_static/images/pieces_category_dist.png\", format=\"png\", dpi=1200)\n", "plt.show()\n", "\n", "\n" ] }, { "attachments": {}, "cell_type": "markdown", "id": "f68406f4", "metadata": {}, "source": [ "![](_static/images/pieces_category_dist.png)" ] }, { "cell_type": "code", "execution_count": 47, "id": "3b54e442", "metadata": {}, "outputs": [], "source": [ "packs_df.to_csv('data/packs_df.csv', index=False)\n", "member_holdtime_df.to_csv('data/member_holdtime_df.csv', index=False)" ] }, { "cell_type": "code", "execution_count": null, "id": "b320e4d1", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.13" }, "vscode": { "interpreter": { "hash": "2abef46bdc448e8026b975b89e826af33f0e1e4eda83c222c2938c2a736b7647" } } }, "nbformat": 4, "nbformat_minor": 5 }