Simply: when interval is 0 it does NOT actually mean 0 (which is "Nothing" but it mean that it is less than 1 and greater than -1) on the other hand ratio is when it is 0 it's really 0 (as in the example up there 0m means there is no length)
nominal and ordinal are under the qualitative while ratio and integral are under quantitative. quantitative are always numbers while qualitative data is mostly described by words and is categorical.
I can't see why a data scientist should care about this, it's just 3 minutes and 4 definitions, not one useful concept. Frankly learning definitions isn't something someone who uses a computer to work has to do. You know this new thing called the internet, it has been around for some time.
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I understood nominal and ordinal but lost it at ratio and interval
Simply: when interval is 0 it does NOT actually mean 0 (which is "Nothing" but it mean that it is less than 1 and greater than -1) on the other hand ratio is when it is 0 it's really 0 (as in the example up there 0m means there is no length)
nominal and ordinal are under the qualitative while ratio and integral are under quantitative. quantitative are always numbers while qualitative data is mostly described by words and is categorical.
Simple and EASY to understand. Thanks a bunch!
Glad we helped!
Thank you this helped me understand perfectly! Great job!
Very good explanation. Many thanks and love from india.
Hi .. Could you please provide few more examples for Interval and Ratio ..
Thanks for the video!
love this, in my top 5 youtube channel
Nice, keep going.... ❤️❤️
Excellent... Thanks very much indeed
Great work thank you!
Can I know some examples of nominal, ordinal, interval, ratio we can build in the study of the difference in consumer preference for arpico products?
thankyou!
the explanation for ratio and interval is just "commingled splash"...I didn't get anything there. But the nominal and ordinal are clearly explained!
Who the hell is Kelvin and why is he complicating things?!
😂
Qualitative data are not ordinal data! This is completely incorrect.
I can't see why a data scientist should care about this, it's just 3 minutes and 4 definitions, not one useful concept. Frankly learning definitions isn't something someone who uses a computer to work has to do. You know this new thing called the internet, it has been around for some time.
brother i love you
Correction: Kelvin doesn't use degrees
cool !!!
Quien esta aquí por mates? :v
only americans can use fast food as a unit of measurement