5DMetrics.ipynb

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    "## 5DMetrics Project(2024) BY Fejiro Eruotor\n",
    "Project to visualize the 5 core metrics I use to infer quality and balance of a human's life.\n",
    "We will be using the python library, Plotly for our visualization and this app will be the predeccessor to the flagship Mindfulness Center App built for Mbed OS and the Archirstal Watch."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
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   "source": [
    "# we need to do a pip install for plotly library if not already installed on your PC."
   ]
  },
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   "execution_count": 2,
   "metadata": {},
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     "data": {
      "text/plain": [
       "'temp-plot.html'"
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   "source": [
    "import plotly.graph_objects as go\n",
    "import plotly.offline as pyo\n",
    "\n",
    "categories = ['Spirituality/Mindfulness', 'Physical Health Metrics', 'Career Metrics', 'Financial Metrics', 'Social Circles']\n",
    "categories = [*categories, categories[0]]\n",
    "\n",
    "spirituality = [4, 4, 5, 4, 3]\n",
    "physical_health = [5, 5, 4, 5, 2]\n",
    "career = [3, 4, 5, 3, 5]\n",
    "financial = [2, 3, 4, 2, 4]  # Sample data for the new label\n",
    "social = [4, 3, 2, 5, 3]  # Sample data for the new label\n",
    "\n",
    "spirituality = [*spirituality, spirituality[0]]\n",
    "physical_health = [*physical_health, physical_health[0]]\n",
    "career = [*career, career[0]]\n",
    "financial = [*financial, financial[0]]\n",
    "social = [*social, social[0]]\n",
    "\n",
    "fig = go.Figure(\n",
    "    data=[\n",
    "        go.Scatterpolar(r=spirituality, theta=categories, name='Spirituality/Mindfulness'),\n",
    "        go.Scatterpolar(r=physical_health, theta=categories, name='Physical Health Metrics'),\n",
    "        go.Scatterpolar(r=career, theta=categories, name='Career Metrics'),\n",
    "        go.Scatterpolar(r=financial, theta=categories, name='Financial Metrics'),  # New label\n",
    "        go.Scatterpolar(r=social, theta=categories, name='Social Circles')  # New label\n",
    "    ],\n",
    "    layout=go.Layout(\n",
    "        title=go.layout.Title(text='5 Dimensional Lifestyle Metrics'),\n",
    "        polar={'radialaxis': {'visible': True}},\n",
    "        showlegend=True,\n",
    "    )\n",
    ")\n",
    "\n",
    "fig.update_layout(\n",
    "    polar=dict(\n",
    "        radialaxis=dict(\n",
    "            visible=True,\n",
    "        ),\n",
    "        angularaxis=dict(\n",
    "            direction='clockwise',  # 'clockwise' or 'counterclockwise'\n",
    "            rotation=90  # Specify starting position angle in degrees\n",
    "        )\n",
    "    )\n",
    ")\n",
    "\n",
    "pyo.plot(fig)\n"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Next we would want to feed this Radar Chart from an external/remote JSON file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'temp-plot.html'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import json\n",
    "import requests\n",
    "import plotly.graph_objects as go\n",
    "import plotly.offline as pyo\n",
    "\n",
    "# URL of the remote JSON file\n",
    "json_url = \"https://protraxglobal.com/5D.json\"  # Replace with the actual URL of your JSON file\n",
    "\n",
    "# Fetch JSON data from the URL\n",
    "response = requests.get(json_url)\n",
    "data = response.json()\n",
    "\n",
    "# Extract categories and organization data from JSON\n",
    "categories = data[\"categories\"]\n",
    "organizations_data = data[\"organizations\"]\n",
    "\n",
    "# Plotting\n",
    "fig = go.Figure()\n",
    "\n",
    "for organization in organizations_data:\n",
    "    fig.add_trace(go.Scatterpolar(r=organization[\"scores\"] + [organization[\"scores\"][0]], theta=categories + [categories[0]], name=organization[\"name\"]))\n",
    "\n",
    "fig.update_layout(\n",
    "    title=go.layout.Title(text='Organization comparison'),\n",
    "    polar={'radialaxis': {'visible': True}},\n",
    "    showlegend=True,\n",
    "    polar_angularaxis_rotation=90  # Specify starting position angle in degrees\n",
    ")\n",
    "\n",
    "pyo.plot(fig)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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