Cambridge Area Repair Cafe statistics


#1

We’ve now been gathering technical statistics in the Cambridge Repair Cafe group for two years - nearly 1000 items in total. A summary of our findings to date is in the attached presentation. Repair Statistics V4.pdf (427.9 KB)
(One day, we may be able to upload this to the Fixometer!)

image003


#2

Thanks Chris, would you mind uploading the chart/graph that you showed us? I think others will be more tempted to read your PDF if you share it :nerd_face:


#3

Hi Janet,

I did upload it. Is there something else you’d like me to do with it?

Cheers

Chris


#4

Added it to your message above, the image of the slide - I think it’s good clickbait :wink: hope that’s ok


#5

Thanks, Janet. There are some differences between that chart and the one in the PDF – as this is 2017, and the one in the PDF is 2017-2019. The differences
are themselves interesting and surprising (for example, the substantial improvement in repairability of Apple products – but that may be because we’re getting cleverer at repairs, rather than Apple getting more repairer-friendly!)


#6

For reference here’s a screenshot of the updated version (copied from within the PDF):


#7

Would be great to see the data set evolve over time using animation, to see the datapoints as bubbles with sizes proportional to numbers of attempted fixes, a bit like Hans Rosling did with his “Gapminder”.

Google has a tool much like this, perhaps there is a non-Google version?

https://www.google.com/publicdata/directory


#8

Hi Janet,

Thank you - that’s really wonderful – but do you have any idea how big his dataset is???
J

I must admit it’d be fun to play with – but there are other priorities at the moment – I’m off to Ghana in a few days. (I’m not sure whether we’ll be doing
a Repair Café there this visit.)

Obviously the Ghana dataset (much smaller) looks totally different! We’ve been unable to gather the age of items, as most were bought pre-used in the market.
The best we could do was “How long have you owned this?” – the average answer is six months.

Chris