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in the data loading section the Volume column goes through a log transformation, as per:
data["log_volume"] = np.log(data.volume + 1e-8)
I looked at a qqplot, a histogram and performed a Shapiro-Walk test before and after the transformation and it seems the transformation led to less normality.
I'm a novice at all this but i would suspect (after some conversations with chatgpt) that the transformation would show greater normality unlike the image below. Can anybody set me straight on this one?
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Hi,
in the data loading section the Volume column goes through a log transformation, as per:
data["log_volume"] = np.log(data.volume + 1e-8)
I looked at a qqplot, a histogram and performed a Shapiro-Walk test before and after the transformation and it seems the transformation led to less normality.
I'm a novice at all this but i would suspect (after some conversations with chatgpt) that the transformation would show greater normality unlike the image below. Can anybody set me straight on this one?
Thanks in advance!
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