Time stamps : 32: 57 : Melt function for Transposing columns and Rows. 42:17 : Handling multiple variables 48 :11 : Split Function 56: 20 : Variables stored in both Rows-Columns. 1:01:10 : Pandas Pivot table 1:06:11 : Reset_index() function 1:10:23 : Drop duplicates function
This is the single most helpful python pandas tutorial that I've ever seen. Thank you Daniel Chen. Great job!
you could drop the word “single”
Time stamps :
32: 57 : Melt function for Transposing columns and Rows.
42:17 : Handling multiple variables
48 :11 : Split Function
56: 20 : Variables stored in both Rows-Columns.
1:01:10 : Pandas Pivot table
1:06:11 : Reset_index() function
1:10:23 : Drop duplicates function
the video is timestamped
One of the best data cleanih and tidying tutorial on RUclips
Great video. Underrated, isn't recommended by youtube. Btw thanks for the video.
I'm just 10 mins in and I already love you. Thank you for this presentation
This is a terrific video, Daniel. Thank you very much!!
Simple and easy to follow. Completely new Python student and this was such a great introduction, eager to continue learning! Thanks a lot Daniel
This is such a wonderful tutorial.
Excellent Tutorial about pandas and Data Cleansing and Data preparation
Excellent lecture! Thanks for letting it public!
Those timestamps were well made and very helpful - thank you!
Well explained and easy to understand . I appreciate your help so much. Many thanks
Thanks for the video. I started with pandas and got confused with the brackets, it is clear now.
Great video, that gets to the point and explains complex concepts so elegantly.
Very nice talk, I finally got it. Seems like a nice dude also
Thanks for the timestamps but
@ 16:26 it's df.loc not df.iloc
Great presentation! Thank you very much for this helpfull and understandable-easy to follow Tutorial.
Hello, please how do we get the datasets you used in the video? Could you share a link we could download from? Thanks.
@KKC, Sir, right at the beginning, 0:04:00 to 0:40:00, datasets to be found at repository github, the link is there.
Awesome explanation and super content @Daniel !
Excellent really learnt a lot 👍👍👍
Great tutorial for beginners like me. Thank you
Good skills I've learnt here
But how do you melt all the other columns in the pew dataset? You just demonstrated the
A great tutorial. Thanks!
A bit lengthy but worth it. Lots of good stuff in it.
where is the URL to download the data? I missed it somehow. Thank you.
So useful, thanks.
Very excellent and explanatory in detail
Thank you. Very Very helpful
This is the first time I've understood why melt is called melt. 32:36
Amazing tutorial thanks man
Newly starting Python. I realize that Data Manipulation is Far easier in R (Use tidyvarse)!!
so somehow, problems 1 to 3 contradicts problem 4 and 5?
hey guys where can I find the relevant datasets from the tutorial.
somebody please let me know
(TIA)
looks like the url for the data has been removed. I also can't find it in github
it was very useful, thank you so much
from where i can get the dataset
Excellent tutorial
could someone post the link to github repo?
simply wow !!
Great tutorial
Ver good Aman
I feel like Daniel and Leonard's characters in The Big Bang Theory have a lot of similarities. Did anyone else notice that?
Awesome 👍
This should be called tidy data for complete beginners
جميل جدا ورائع جدا ورائع جدا
Thanks you 😊
Thank you
Thank you^^
Hadley Wickham'ın askerleriyiz.
5:24 to skip all the pointless nerd BABBLING.
That's why you're still an underling.
Excellent tutorial