Anyone fancy taking a look at vacuum cleaner data in the ORDS data, following on from this tweet?
https://twitter.com/kwiens/status/1174339560857317378
Success rate should be simple enough to calculate. (Worth bearing in mind that 70% is interesting for pro repair shops, as they don’t usually record unsuccessful attempts.)
Finding the top 3 fault types will require some work, as the problem statements are currently free text.
Other fault types to search for might be gleaned from our wiki page on vacuum cleaners:
and Which?'s recent guide:
@Lewis_Crouch’s R workbook might be of interest for analysing the free text, or we could always do an online data hackathon on it…