generated from mwc/project_argument
9b9786d4bc
That was really cool! So I ended up having to look deeper into matplotlib for some additional tools; I had some formatting issues on my x-axis for all of the birth data where I was labeling the axis based on the number of the day (1-365) throughout the year but I was able to figure out how to use matplotlib.dates to better label the x-axis with respect to the months where things were occurring for easier readability. Also, turns out you can use LaTeX to embed formulas into the Jupyter notebook. I kind of figured that was possible, but I wasn't expecting it to just work, so that made writing the results and analysis portion of my probability look at the problem way cleaner. My backup plan was to make the equations elsewhere and have to import them as pictures, so I'm happy that I was able to keep that portion more dynamic if I ever needed to go back and make any changes/additions/corrections. I'm bummed I wasn't able to find a pattern that explained what I was hoping for, but it was really cool to dive into that data to look for it anyway. Turns out, math wins the data again, I guess. |
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| .ipynb_checkpoints | ||
| data | ||
| .commit_template | ||
| Untitled.ipynb | ||
| argument.ipynb | ||
| poetry.lock | ||
| proposal.md | ||
| pyproject.toml | ||