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’ ?

now 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 🤔

As 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…

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.

What about Polars btw ? Do you find it more elegant ?

Why pandas feels clunky when coming from R Five 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 …

A good example about why Pandas is not an elegant tool for data analysis and wrangling. #SundayProvocation #python #rstats www.sumsar.net/blog/pandas-...

319 more followings after … 🫢