After watching a lot of log scale explanation videos, this is the one that finally did it for me. Thank you very much for that! I have two clarifying questions: The growth rate is always comparing itself with the first data point, correct? How did you calculate the "% change" column? Apologize for the basic questions. Thanks again!
Simply put, in a log scale the slope has meaning, it shows the rate of change. In a linear scale, as you've shown, the slope does not show the growth rate. In fact if you had a constant growth stock it would be parabolic in a linear scale.
I think it will be very helpful to get a little bit more background on complex problems as normalization of data in no normal distribution. I am trying to score a list of customers to prioritise sellers workload. I have created a measure based on product fit, buy intent... Etc but my score is completely skew to low values. I know is a very specific example but maybe there are more people with my problem :)
Very nice, very simply explained. Thanks
will watch it again and again
After watching a lot of log scale explanation videos, this is the one that finally did it for me. Thank you very much for that! I have two clarifying questions:
The growth rate is always comparing itself with the first data point, correct?
How did you calculate the "% change" column? Apologize for the basic questions.
Thanks again!
Simply put, in a log scale the slope has meaning, it shows the rate of change. In a linear scale, as you've shown, the slope does not show the growth rate. In fact if you had a constant growth stock it would be parabolic in a linear scale.
for the histograms , column B and C had so much difference on linear scale , but on log c is reaching almost 75 percent of B , how can that be ?
Hi. Quick question. Which is better to use the logarithmic axis or create a measure with the daily % growth?
Thatbis a great question :)
I would do % growth when the audience are business users and log scale for a more trained audience.
/Ruth
1:18 Logarithmic scale example, great
This is a great great video... I hope you are doing more about stadistics topics! Thanks for your work!
Sadistics??
@@CurbalDataLabs sorry misspelling 😂😂 stadistics!!!!! Apologies 😊
😂😂 ok, got you
I think it will be very helpful to get a little bit more background on complex problems as normalization of data in no normal distribution. I am trying to score a list of customers to prioritise sellers workload. I have created a measure based on product fit, buy intent... Etc but my score is completely skew to low values. I know is a very specific example but maybe there are more people with my problem :)
Noted :)
very interesting. Thank you for sharing!
Such a informative video I loved it and nice examples will definitely use log scale when needed thank you for the video Martinez!!!
🥳
Muy buena explicación!!!!
Gracias!
Gracias por la explicación muy clara!
Un placer!
thanks for sharing! it explains well!
Glad it was helpful!
Great explanation.
Thanks Vida!
/Ruth
thanks
Thanks a lot!
Amazing!!!
Tha is!
/Vida
Growth is not slowing down at all, it's at a constant 10% per month...
Something that is constant is not growing right?
well explained but consider using a better mic, hard to understand with your accent
It was done at home st the beginning of the pandemic 😊
If you put captions on it might help!