Linear vs. logarithmic scaling in plots

[@electric_sand]

Been going through this channel...this is the type of content we need, this is quality stuff with the perfect flavour. Thank you.

[@mikexcohen1]

Awesome, thanks EV.

[@thapaharis]

simple and easy to follow. thanks for video

[@paulagonzalezalvarez8364]

Thank you! This was extremely useful.

[@Manitham-vk8er]

Thank you... The content clarity is so helpful to understand

[@SRISHTYHALDER]

Your channel is a gold mine
Thank you so much for your amazing content.

[@mikexcohen1]

Thank you kindly!

[@NH-tg1rb]

Cheers Mike, super video!

[@giovaniaevangelinehalim411]

Just to verify, does the scaling between the two points of a logarithmic work the same way as the linear does? For example, would a value of 50 be plotted half-way between the 10 and 100, or does the magnitude differ as well? Thanks

[@mikexcohen1]

Good question. The answer is No, 55 is not halfway between 10 and 100 in log space. You'd have to convert everything into log. For example, log10(10)=0 and log10(100)=2, and halfway between them is 10^1.5=31.6.

[@Posby95]

@@mikexcohen1 Just a small correction: log10(10)=1.

[@stephenkane9630]

Wow, explained Beter than any Log vs Linear i have ever seen.

[@mikexcohen1]

Thank you kindly, Stephen. I'm glad it was useful.

[@ram-my6fl]

One of the G.O.A.T vids

[@mikexcohen1]

Thanks! You made me blush :D

[@johnmc9073]

Can you direct me somwhere when i can compare lin-lin with log-log of the same data?

[@mikexcohen1]

You mean, you have your own data and want to compare it with log vs. lin scaling? It's probably easiest to import it into python (or octave or MATLAB, depending on what language you are familiar with).

[@simplemente_humano]

great video.

[@Jortyx91]

Very helpful, thank you

[@mikexcohen1]

Glad it was helpful!