Am Neumarkt 😱

#DataScience (Please refer to this post https://t.me/amneumarkt/199 for more background.) I read the book "everyday data science". I think it is not as good as I expected. The book doesn't explain things clearly at all. Besides, I was expecting something starting from everyday life and being extrapolate to something more scientific. I also mentioned previously that I would like to write a similar book. Attached is something I created recently that is quite close to the idea of my ideal book for everyday data science. Cross Referencing Post: https://t.me/amneumarkt/199

#DataScience Ah I have always been thinking about writing a book like this. Just bought the book to educate myself on communications. https://andrewnc.github.io/blog/everyday_data_science.html

#datascience I ran into this hilarious comment on pie chart in a book called The Grammar of Graphics. “To prevent bias, give the child the knife and someone else the first choice of slices.” 😱😱😱

#datascience#career#academia > I regret quitting astrophysics https://news.ycombinator.com/item?id=25444069 http://www.marcelhaas.com/index.php/2020/12/16/i-regret-quitting-astrophysics/ me too 😂 though not an astrophysicist, I miss academia too

#datascience#audliolization This is the audiolization of the daily new cases for FR, IT, ES, DE, PL between 2020-08-01 and 2020-12-14. I made an audiolization video two years ago. As I am currently under quarantine and the days are becoming so boring, I started to think about the mapping of data points to different representations. We usually talk about visualization because there are so many elements to be used to represent complicated data. Audiolization, on the other hand, leaves us with very few elements to encode. But it's a lot of fun working with audio. So I wrote a python package to map a pandas dataframe/numpy ndarray to midi representation. Here is the package https://github.com/emptymalei/audiorepr