--- a
+++ b/Analysis top20 vs bottom20.ipynb
@@ -0,0 +1,175 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "id": "8KSBPEA9iZc1"
+   },
+   "outputs": [],
+   "source": [
+    "\"\"\"\n",
+    "Initialize environment and import necessary libraries for the detailed comparison\n",
+    "of top 20% vs bottom 20% diverse head and neck cancer clinical trials.\n",
+    "\"\"\"\n",
+    "\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "import plotly\n",
+    "import plotly.express as px"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "id": "U1XH-hqSieep"
+   },
+   "outputs": [],
+   "source": [
+    "# Load preprocessed datasets of top 20% and bottom 20% diverse studies\n",
+    "df_top = pd.read_csv(\"t20.csv\")\n",
+    "df_bottom = pd.read_csv(\"b20.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "executionInfo": {
+     "elapsed": 183,
+     "status": "ok",
+     "timestamp": 1711119148341,
+     "user": {
+      "displayName": "Ojasvi Vachharajani",
+      "userId": "08925121883437033531"
+     },
+     "user_tz": 420
+    },
+    "id": "i2oWqy-Fiehy",
+    "outputId": "599a5439-bf8a-437b-b404-10b0393e84ee"
+   },
+   "outputs": [],
+   "source": [
+    "set(df_top.columns) == set(df_bottom.columns)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "id": "sMugRtp8pli-"
+   },
+   "outputs": [],
+   "source": [
+    "df_top[\"success_category\"] = \"top\"\n",
+    "df_bottom[\"success_category\"] = \"bottom\"\n",
+    "\n",
+    "df_all = pd.concat([df_top, df_bottom])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "executionInfo": {
+     "elapsed": 4,
+     "status": "ok",
+     "timestamp": 1711119288331,
+     "user": {
+      "displayName": "Ojasvi Vachharajani",
+      "userId": "08925121883437033531"
+     },
+     "user_tz": 420
+    },
+    "id": "he-X6Ez4qCzq",
+    "outputId": "b7f15feb-b680-4ca4-d754-2fd769fc0629"
+   },
+   "outputs": [],
+   "source": [
+    "df_all.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 542
+    },
+    "executionInfo": {
+     "elapsed": 2,
+     "status": "ok",
+     "timestamp": 1711119330500,
+     "user": {
+      "displayName": "Ojasvi Vachharajani",
+      "userId": "08925121883437033531"
+     },
+     "user_tz": 420
+    },
+    "id": "w4ohZwM8t3kU",
+    "outputId": "033642de-9d3c-417b-f713-4ac567a3833a"
+   },
+   "outputs": [],
+   "source": [
+    "px.box(df_all, x=\"success_category\", y=\"num_participants\").update_layout(width=700)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 542
+    },
+    "executionInfo": {
+     "elapsed": 221,
+     "status": "ok",
+     "timestamp": 1711119560043,
+     "user": {
+      "displayName": "Ojasvi Vachharajani",
+      "userId": "08925121883437033531"
+     },
+     "user_tz": 420
+    },
+    "id": "fvVRp9sxt3nd",
+    "outputId": "4b43d996-9082-4da0-e42b-d37264c8f0ef"
+   },
+   "outputs": [],
+   "source": [
+    "df_num_participants = pd.concat(\n",
+    "    [\n",
+    "        df_all[[\"success_category\", \"num_male_participants\"]].assign(sex=\"male\").rename(columns={\"num_male_participants\": \"num_participants\"}),\n",
+    "        df_all[[\"success_category\", \"num_female_participants\"]].assign(sex=\"female\").rename(columns={\"num_female_participants\": \"num_participants\"}),\n",
+    "    ]\n",
+    ")\n",
+    "\n",
+    "px.box(df_num_participants, x=\"success_category\", y=\"num_participants\", color=\"sex\").update_layout(width=700)"
+   ]
+  }
+ ],
+ "metadata": {
+  "colab": {
+   "authorship_tag": "ABX9TyMDSF+xer7CPEwEYBcCijkb",
+   "provenance": []
+  },
+  "kernelspec": {
+   "display_name": "Python 3",
+   "name": "python3"
+  },
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}