difference between interval scale and ratio scale in classifying Data

I was reading about 'different types of data'. I understood the concept of nominal and order based data. But I did not have a clear picture about the difference between interval and ratio scaled data. I know the concept of true zero, absent for interval scale while present for ratio scale, but still I was not satisfied with the concept/examples of kelvin and Celsius temperature.

Please give 2 or 3 examples with the differences. It would be helpful.

• Celsius temperature has an arbitrary zero, so ratios make no sense, e.g. $20^\circ$ C is not meaningfully twice $10^\circ$ C, which is in my view easier to understand by comparing Fahrenheit equivalents $68^\circ$ F with $50^\circ$ F. The zero separating BC (BCE) from AD (CE) is another example. – Nick Cox Apr 13 '20 at 9:51
• @NickCox,Thanks for answering. Could you please elaborate little more? – tedd Apr 13 '20 at 10:42
• This is standard stuff. Good accounts are easy to find e.g. graphpad.com/support/faq/… I don't see a clear question in your post: you just keep asking for more examples. – Nick Cox Apr 13 '20 at 10:45