When would you ever use csv over parquet to store large datasets?

Hi all,

Pretty much the title; if I have a good amount of data (say, 3 million rows, 10 cols). Parquet will on average have smaller file size and as such be faster to read into R or python or whatever. What situations would I prefer csv?

The ones I can think of are:

\- I occasionally want to open in excel (but opening a file this big risks crashing my computer)
\- I work with someone who prefers CSV …

csv datascience datasets large datasets parquet