Analyzing my Ultramarathon Training: Data Analysis w/ JuliaLang
Details
For the last 4 months, I have been training for an ultra-marathon. The 50-mile race is on May 6th. During my training, I wore a Garmin watch and generated all kinds of data related to my runs, sleep, and even nutrition.
Join me for a post-race analysis of my running, where I attempt to answer questions like how much sleep actually effected my run performance, how time of day affected my runs, what days of the week I ran best, how my nutrition effected my runs, and much more.
I'll use https://julialang.org/ for this analysis, a newer language from MIT that has gained a lot of ground in areas where Python normally excels. Along the way, I had to write a Julia library to complete my analysis. Learn about the Julia development process that I followed when developing this package as well!
Topics will include:
- How to begin a data analysis project
- Data Analysis skills w/Julia
- Gathering data
- Cleaning data
- Using DataFrames.jl
- Common plotting of data.
- Using Pluto.jl notebooks
- Writing reports with data
- Developing an open source Julia package
- Julia development process
- Using VSCode and Julia extension
- Interactive programming with the REPL
- Starting a Julia package
- Testing Julia packages.
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