Hi Gabriele,

I followed the course with Sarah, but I confess that I am still not convinced of the usefulness of this type of tool in the daily life of a blind data scientist. Sometimes we have data with a lot of noise, biases, and important details that will be difficult or, in my opinion, impossible to capture completely with sonifications.

It can be useful and even somewhat playful for astronomy, but as a data scientist who works in industry analyzing and applying predictive models in big data and business problems, I don't see much use for it.

That's why I believe that it is much better to invest in two fronts: LLMs for graph description and statistical tools for data analysis - hypothesis testing, in-depth study of linear algebra and probability, study of numerical analysis, etc. I have been investing in the second front for four years now and although I still have a lot to learn, I feel increasingly confident in working with data without using graphs.

Again, this is just my personal opinion and there may be those who disagree.

Kind regards,
Pietro