It was my hypothesis that on days where Manchester United played a game and won, would also be the days where my Youtube consumption and my mood would be at its peak.
I chose to use a scatterplot to visualize this data because I thought it would be easier to see how the correlative data being collected can lead to different trends in my Youtube consumption. Currently, I feel the visualization tells a story as I can draw a couple of conclusions from the scatterplot but I feel it doesn't fully support my hypothesis but there is some correlation. To learn more, feel free to peruse the Report to the right ↗️ .
I also added external factors that could affect my mood such as the ups and downs of my job search to tell the full stories of certain days where an expected outcome ended up being the total opposite.
Some external resources I used to make my visualization more interactive but really more contextual for some data that can't be represented on the scatterplot was the tooltip. The tooltip interaction was then added through a lot of trial and error but I found a useful resource from this article on Stackoverflow.