Community Comment: Part 10
The comments I provided in reaction to a community discussion thread:
https://www.linkedin.com/feed/update/urn:li:activity:6850577708255117312?commentUrn=urn%3Ali%3Acomment%3A%28activity%3A6850577708255117312%2C6850714748086968321%29&replyUrn=urn%3Ali%3Acomment%3A%28activity%3A6850577708255117312%2C6852606305358659584%29
Senior Data Scientist at Amazon:
The goal is never to avoid failure, but to try enough so you can win. What are you trying to achieve for the last quarter of 2021?
Principal Software Architect at Continuous Identity & Asset Risk Management Product Firm:
Good split in upper quadrants. (BTW, bottom-right should be "None" too.)
What this doesn't tell is how quickly one finds out of a failed attempt. What I'm really interested is in two things:
(1) Am I going to fail at something.
(2) How quickly can I find that out.
I'd like to know as quickly as possible, because then I can do a course-correction early.
Data Analyst at Automated Telephony Services and Data Compilation Firm:
Because the failures might not be due to a lack of effort or knowledge on the doers part but a insufficiency, defect, or abject quality on the receiving end.
Gfesser: Actually, I'm leaning more toward the opinion [the Principal Software Architect] expressed. With the assumption that an attempt leads to a binary outcome of success or failure, and an attempt actually needs to be made in order to judge whether a success or failure results, both of the lower quadrants in the viz should be labeled "N/A". If no attempts have been made, in the context of success or failure for attempts plotted in the viz, the lower quadrants not only don't apply, these should arguably not even be included in the viz to begin with. Beyond this viz, however, not attempting something can also be viewed as failure because a given person hasn't even tried. But the population of those not trying is likely so high that considering these individuals would likely defeat the purpose of a viz such as this one. Lesson learned for any data scientists reading this post, who struggle to understand the difference between "None" and "N/A".