Started graphing my life with fitbit blog post/presentation.

notebooks/fitbit/GraphingMyLifeWithFitbit.ipynb

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+    "Today we are going to visualize my life using Fitbit and Matplotlib. \n",
+    "\n",
+    "# What is Fitbit\n",
+    "\n",
+    "[Fitbit](https://www.fitbit.com) is a fitness watch that tracks your sleep, heart rate, and activity.\n",
+    "Fitbit is able to track your steps, however, it is also able to detect multiple types of activity\n",
+    "like running, walking, \"sport\" and biking."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# What is Matplotlib\n",
+    "\n",
+    "[Matplotlib](https://matplotlib.org/) is a python visualization library that enables you to create bar graphs, line graphs, distributions and many more things.\n",
+    "Being able to visualize your results is essential to any person working with data at any scale.\n",
+    "Although I like [GGplot](https://ggplot2.tidyverse.org/) in R more than Matplotlib, Matplotlib is still my go to graphing library for Python. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Getting Your Data\n",
+    "\n",
+    "There are two main ways that you can get your Fitbit data:\n",
+    "\n",
+    "- Fitbit API\n",
+    "- Data Archival Export\n",
+    "\n",
+    "\n",
+    "Since connecting to the API and setting up all the web hooks can be a pain, I'm just going to use the data export option because this is only for one person.\n",
+    "You can export your data here: [https://www.fitbit.com/settings/data/export](https://www.fitbit.com/settings/data/export).\n",
+    "\n",
+    "![Data export on fitbit's website](dataExport.png)\n",
+    "\n",
+    "The Fitbit data archive was very organized and kept meticulous records of everything. \n",
+    "All of the data was organized in separate JSON files labeled by date.\n",
+    "Fitbit keeps around 1MB of data on you per day; most of this data is from the heart rate sensors.\n",
+    "Although 1MB of data may sound like a ton of data, it is probably a lot less if you store it in formats other than JSON. \n",
+    "When I downloaded the compressed file it was 20MB, but when I extracted it, it was 380MB!\n",
+    "I've only been using Fitbit for 11 months at this point. \n",
+    "\n",
+    "![compressed data](compression.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Sleep\n",
+    "\n",
+    "Sleep is something fun to visualize.\n",
+    "No matter how much of it you get you still feel tired as a college student.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Resting Heart Rate"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Steps"
+   ]
+  }
+ ],
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