Whiteboard: Pareto Analysis
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- Опубликовано: 2 мар 2015
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Here In 2020 & you’ve explained in 7min what my lecturer couldn’t in 3hours 🙏🏾Thank you
😭😭😭😂😂😂😂😂😂
Perfect explanation! Simplifying something with other materials tends to make it more complex is art!
Someone finally talked about Pareto sensibly. Thank mate
nice handwriting, thorough, well done!
WOW! WOW!! WOW!!! THE BEST BY FAR!!!WHAT A PERFECT EXPLANATION!!!! I JUST LOVE IT.
The simplest way to explain Pareto Analysis. Very helpful.
THANK YOU!
Wow!!!! Thank you so much for a clear, succinct, and insightful tutorial on pareto charts! Thoroughly enjoyed this 👌👌
This was incredibly helpful; thank you for explaining it so thoroughly.
Was studying this in a book and needed more explanation. This was fantastic and answered all of my basic questions. Thank you.
One of the best and easiest explanation I've heard.thanks
Most informative video I have found on this topic! Very nicely presented! Thank you for helping me understand!
i am blown away with the crisp explanation
A really clear & simple explanation of the analysis. Excellent delivery too. Thank you
Just with this one video I could know almost everything about a Pareto Chart...The best video tutorial ever...Thank you for the video...😊😊😊
Wow this is 2024 and this is the best video ever made please don’t take this down ❤ I could understand this chart and you have explain this amazingly well 🙌🙌👏👏👏
This is the best video on RUclips on this topic! 😊
Thank you so much, It was very clear and up to the point. Now, I know what Pareto Analysis is clearly
Explained so thoroughly yet so effortlessly 🔥😭🔥
Very straight to the point.
Thanks for the video🙏
Best Pareto explanation n refresher in RUclips. Thank you.
AMAZING!!! Thank you. Makes so much more sense!
Wow, thank you for this explanation and perfect example. Very helpful!
Thanks fo this video! I learned and found what I was looking for.
Perfect description!
An interesting way to demonstrate a very useful subject.
Thank you so much.
Based on your explanation I feel like I could get up in front of my colleges and explain this nearly verbatim
Great Explanation of Basics. Crystal Clear, Thanks a lot
Thank you so much, sir. Today first time I know how to look at the Pareto chart. Very well explained sir.
Clear explanation and simple .Thanks. Keep it up !
Wonderfully explained! Thank You so much, seeking more to learn various concepts...... :)
Thank you for this simplified illustration.
you successfully dealt with my stupidity about it. you are special
This is excellent. Thank you.
Oh wow! He made this so easy to understand!! Thanks you!
Great job on the analysis!
Such helpful clear explanation. Thank u so much Dr. Bob. 🙏
Fantastic presentation. Colored my mind with regards to this subject. Thank you
Thank you
Excellent explanation. Thank you!
Thank you! Excellent explanation.
This is the clearest explanation
Thank you!!!!! VERY INFORMATIVE!
GOD BLESS YOU...
Explained it neat and clear and a beautiful handwriting. Thanks a lot
Thank you so much for the video. It's so simple.
@VampireDucks, regarding your comment made a year ago, the reason why 80 percent of the data in this cause account for phenomenon is because as you said correctly: 2/5=.40 and when multiplied by 100 or number of frequencies is a 100 it would be 40, but in this example used, the Doctor says there were a total of 200 frequencies. Therefore, you would have to multiply 2/5 or .4 by 200 instead of 100 to get the correct percentage. This would come out to be 80 percent (.4 * 200).
Thank you ! very good explanation.
Thanks for ur clear presentation
The best explanation!
good and very informative video, thank you :)
Great explanation of 80/20 rule, Very nice handwriting.
What an explanation. Mind blowing sir. Thank you so much :)
still now 2022 your video is really helpful,thank you so so much
Clear Explanation.. Thanks...
best explanation! thank you
Really a good explanation... I really understand the Pareto Analysis.
he is much better than my professor
Wonderfully explained. Thank you :)
Well explained....clear explanation...Thanks
Bless you
really very good and informative....
Thank you, this is so helpful, the way you explained it is so easy to follow. Also, you’ve got a beautiful handwriting.
You saved me today.
Awesomely explained👏
thankyou for the explanation and practical example. I think it will be better if you draw the cumulative line by sum up the percentage cumulative one by one, so the 80/20 can be seen from the graph accurately. (although we can see which bars are the 20 by calculating the cumulative percentage.)
just my five cent
I love ur hand writing
best explanation. thank you sir!
Good explanation overall, except one thing: talking about "80/20 split" reinforces common misconception that the rule refers to splitting dataset in 80/20 proportion, which is not true and would not be significant. Its not that 80+20=100. 80 refers to one thing (80% of results/effects/outputs etc) . 20 doesn't refer to remaining results - it refers to 20% causes/reasons/inputs - the most vital ones that cause that 80% of results. In video 80% of results come from 40% causes (2 out of 5), so its unfortunate to use it to explain 80/20 rule. It's so easy to fix by adding 5 more trivial causes.
This often causes confusion for those trying to grasp the rule.
Very well explained!
Cool explanation. Italian pizza is the part of trivial many being the reason of my fat belly.
Great video thx!
Thank you so much sir ... :) :) :) Respect
A must see for students
Amazing explanation
thanks so much, now I understand
"80/20" by itself implies a bias - its a good start BUT just a start. I think the "trivial few" is actually out of scope data to report (as one plot). Those are possibly more serious issues that might even be causing the larger issues. These are the issues that got caught (noticed, logged, reported, etc). Other than that it's a pretty cool description (I love hand drawn graphs for some reason as well)
Really saved my semester
you are king man
Who's the teacher?? He is excellent in explaining it so systematically.
From here we get the points of the curve or do we draw it randomly ? Bcz if it's random, the intersection with the 80% won't be precise as well..
Very good, thanks
Wow simple n informative
Thanks
Very nicely explained
thanks
Why are the curved lines relevant/necessary if the percentages show the greater % of concerns? (eg. The 1st 2 bars...)?
This was easy to understand
are these data values ordinal or nominal??
The video is very explicit but I still have a question. How do you draw the curvature? Based on what?
You are adding up the %s in the chart - so it starts at just column 1, then is the sum of 1+2, then is 1+2+3, then is 1+2+3_4 (until you eventually reach 100%)
Just WOW
You got a doctor's handwriting
Can the frequency be more or less than 200?
Wow !
Pareto was looking at real estate in Italy and at the peas in his garden.
Nice work
If I inverse the objective to find which error rarely occurs instead of which error often occurs - those iconic two terms will change into vital many, trivial few. And that means the majority of the subject serves my value better than the minority; which is the opposite of the grandiose function of Pareto Distribution
very imformatiive helpful video
thx alot
Subscribing for the handwriting
Hi. Does your chart not in fact show that the Pareto 80/20 does not hold for your data set? There are five causes of a phenomenon (med error) in your data and your chart show that the two most frequent of these account 80% of the phenomenon. In other words, two out of five, which is 40%, not 20%. That is, 40% (not 20%) of causes account for 80% of the phenomenon. The chart analysis may be useful, but it seems to me it doesn't establish the "Pareto Law" (or "Pareto Principle") in this case.
I'm pretty sure that you are *technically* correct. This is not a mathematically sound example of the 80/20 rule. (Which would require a power law distribution over continuous data, rather than a histogram of categories) However, in terms of practical use this Pareto chart gets the job done. I feel that the 80/20 rule has come to mean "focus on the biggest impacts."
Is that entirely accurate? No. Is it still a useful generalization? Yes.