I know the title of this journal is as long as it is boring – I am not feeling too creative today. Nonetheless, I am quite happy that I have recently made progress on a bunch of data viz projects that I have been playing with during the past couple of weeks. Let’s take it one step at a time, so today I will focus my efforts on sharing a video of a simple visualization that I created to map data from a data collection session I did a few weeks back.
Here is a link to one of my previous journal entry where I briefly talked about this endeavor.
My efforts during this session focused on tracking my galvanic skin response, the light level in the room where I sat, and the proximity of others. I also took notes regarding my activities during this two-hour period. Unfortunately, I have not been able to integrate this information into my visualization yet. As you can see, my visualization is essentially comprised of three bar charts coupled with a timeline running and a navigation running along the top of the screen.
Over the coming weeks I will integrate information about my activities in the area between the navigation bar and the timeline. This information will contain brief descriptions and images of the content I was consuming (and the people with whom I was interacting). This part of the project is very important because over the next several months I hope to keep a detailed track of my biometrics data and activities with the goal of creating a personal mood map.
The ultimate goal of this projects is to help me to lead a more fulfilling life by making me more aware of things that make me happy, sad, annoyed, elated, frustrated, and so on. At this point I am trying to put together some of the scaffolding to make this a reality. I have made good progress on the biometric circuits and I am continuing to improve the data visualization elements of this project. However, I still need to work on creating a process that will enable me to effectively capture data regarding my activities and moods.
Here is a link to the code for this visualization (it is available on GitHub). You can download the code directly from this link: https://email@example.com/julioterra/Time_Bio_Mapping.git - Stay tunned, more on all of these threads will be posted soon…