Damien Janvrin @geddan3.bsky.social · 18/11/2024 When your metrics disagree, who do you trust? 🫣 The data nerd's dilemma is real! 📊 And what app do you use to track your perf’ ? 140
Damien Janvrin @geddan3.bsky.social · 18/11/2024now I'm quite puzzled by my tracking apps giving me mixed signals: - Strava says I'm WAY above my weekly range (305 Relative Effort! 😅) - Training peaks shows on 2nd pic my fitness metrics getting harder to track - Apple Watch tells me everything is 'Steady' for over a week now 🤔 130
Damien Janvrin @geddan3.bsky.social · 18/11/2024As a data practitioner, we love to choose the right metrics to track performance. And when you're a data nerd AND a regular gym enthusiast, you become obsessed with tracking YOUR metrics! 🤓💪 #DataScience #GymRats #QuantifiedSelf But… 100
Damien Janvrin @geddan3.bsky.social · 17/11/2024 Actually here we don’t compare Python to R…we compare a Python library (Pandas) to a R Package (dplyr/tidyverse). And in term of clarity, I think this is exactly where tidyverse is better than Pandas. Pandas seems very verbose for some actions. 130
Damien Janvrin @geddan3.bsky.social · 17/11/2024What about Polars btw ? Do you find it more elegant ? 110
Damien Janvrin @geddan3.bsky.social · 17/11/2024A good example about why Pandas is not an elegant tool for data analysis and wrangling. #SundayProvocation #python #rstats www.sumsar.net/blog/pandas-...sumsar.netWhy pandas feels clunky when coming from RFive years ago I started a new role and I suddenly found myself, a staunch R fan, having to code in Python on a daily basis. Working with data, most of my Python work involved using pandas, the … 7255