Data is all around us. Whether we like it or not, our devices track our every action. Humans produce over 2.5 quintillion bits of data each year and this number will keep growing. While companies track our data for their own profit, we can access much of this data ourselves. Self Tracking is easier than ever due to cheap sensors, machine learning, and cloud computing. Daily habits offer mass amounts of information for data tracking. One of the most popular forms of data tracking is Spotify’s Wrapped. Every year, users of Spotify can see their most listened to songs, artists, and genres of the year on the platform. Inspired by Spotify and other data tracking analytics, I composed a wrap up of my data for 2019. I collected my personal data through various platforms to gain clarity in my habits. Using techniques such as web scraping, I imported my data into Google Data Studio to visualize it. For much of my tracking, I was very surprised by what I discovered and learned a lot!