Python: univariate statistics

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This resource is quite helpful. This resource is ideal for those who possess prior knowledge of the language and need a condensed and intensive overview of the subject matter. I really like the conciseness and directness of this statement.

mutaivictor
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Hi Mark, thanks for the video and the playlist. I don't know, if you tell it after 18:25, but it is a lot easier to use a for - loop instead of copy and paste the code in each cell. What i made is in example:
for i in df.columns:
print(f'{i}: {df[i].dtype}')

b_flieg
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Man, this is so useful. This is perfect if you know the language and just need a crash course on stuff. I really like how to the point this is

vincentvalentine
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Hi Mark,
Amazing video, I was confused about the part of skewness and normality, and then I stumbled upon your video, which cleared all my doubts.
Thank you

gamerforever
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Thak you so much for doing this video. My school taught us how to do EDA and I was struggling to keep up. This helped me a lot.

Dilofi
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Mark, you should start using `for` loop instead of writing each line with `print()`. For example, try this code:
---
for col in df.columns:

---
and you will get the same output in just two lines.

Farrukhw
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great content! can you also talk about how to interpret these results? what can we do with all the concepts you discussed

barulli
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Hi Mark,
thanks for sharing. Very helpful to find a good approach to start analysis!

Baron-digit
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It was good and cleared many of my doubts.

digvijayshekhawat
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Thank you bro it is so much helpful but I have question I do not understand the univariant in this data set we have numerical and categorical it is not seems !

thank you again from Saudi Arabia

majdfahadal-thopiti
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The kurtosis of normal distribution is 3 but you say that if we ahve kurtosis near +-1 that is to be considered ?

karandeepsingh
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hi mark, could you please provide the document of how you handled categorical and numerical variables??

pavansingara
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what about multivariate? how do we calculate in pandas

melisaappaof
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Where's the document from? It seems helpful. Could you please provide that?

aishwaryawuntkal
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Hi Mark nice stuff for beginners. Can you please provide notebook(s) used?

hamma
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