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Thank you, professor. you made learning data science for me so simple and easy to assimilate, thank you for introducing this library to me. still Waiting for data cleaning in orange lib. thanks again.
not working for me says 'DataFrame' object has no attribute 'iteritems' i read on stack overflow that latest pandas has no iteritems, so need to downgrade but still after downgrading pandas still showing this error
Hi, I think its the rendering of the notebook by GitHub that is the issue. HTML is shown in Colab or Jupyter notebook with no issues as it is using the iPython library for the HTML display. GitHub probably doesn’t support this and so it is gone. On a similar note, interactive plotly graphs that are included in some of my Jupyter notebooks when uploaded to GitHub also disappears.
Hi data prof, when I run display.html in Anaconda Jupyter notebook I don’t get the same exact large screen you have! The cell is rather small to navigate inside of it. Is this normal? I do however get the html separately in the folder to view.
X variable is fine but for y = penguins('species') I keep getting a "TypeError of 'DataFrame' object is not callable" which I haven't been able to figure out yet. Anyone know what might be happening? This obviously creates issues with later code cause then 'y' is not defined.
Love watching your videos. Thanks for sharing. Question though, you split out (species) as your dependant y variable at the start of the video, but then never seemed to use it. Are you doing another video on the same data set where you are predicting the species based on the other inputs?
Great observation, actually I’ve made a prior video on classifying the penguins according to their species and made a web app using the Streamlit library in this video th-cam.com/video/Eai1jaZrRDs/w-d-xo.html
@@DataProfessor yes I have. J also uninstalled and installed again but still getting same module not found error. Same thing happens with autoplotter, Vaex and pandasgui. Please help me.🙏
This is a great tool for speeding things up, as for job interview preps, it is always nice to go back to basics and be proficient at standard Python libraries like pandas, matplotlib, numpy, scikit-learn, etc.
Awesome!!! Wait... do you think it's worth trying to "replicate" this library "from scratch"? Anyways, I think I'm going to try only for the fun of it kakaka. Thank you, Professor!
Hi Paulo, it's definitely worth a try, to save you time, feel free to download the Notebook (.ipynb) file from the GitHub to give it a try: github.com/dataprofessor/code/blob/master/python/Sweetviz.ipynb
👉Watch this video next (How to learn data science in 2021) th-cam.com/video/oR670Txwh88/w-d-xo.html
Support this Channel 👇👇👇
🌟 Buy me a coffee www.buymeacoffee.com/dataprofessor
🌟 Download Kite for FREE www.kite.com/get-kite/?
👉 Subscribe to this TH-cam channel th-cam.com/users/dataprofessor
👉 Join the Newsletter of Data Professor newsletter.dataprofessor.org
Excellent topic! I see so many students struggling with EDA, this should be helpful.
Thank you for watching! Glad you think so!
woot! so many uploads, love it Chanin!
Nice to see you here, Andrew! Glad you enjoyed it! 😊
Thank you for putting this content together! This package is just what I’ve been looking for.
This is so helpful!! Doing EDA now and gonna check this out. Thank you!!
Awesome, thanks for watching Tina!
Using this now for quick exploration of my data. Thanks again Data Professor!
Thanks for watching Elijah, Glad it was helpful!
Thanks for this into to sweetviz! Extremely useful and time-efficient!
Glad it was helpful!
Thank you, professor. you made learning data science for me so simple and easy to assimilate, thank you for introducing this library to me. still Waiting for data cleaning in orange lib. thanks again.
Glad it was helpful!
hi, thanks for the help! used it for my final year dissertation
Wow this is going to save a lot of time..thanks for the video
A pleasure! 😊
It looks amazing, I will try it out soon. Thanks for sharing !!
Awesome, looking forward to seeing it in use in one of your amazing LinkedIn posts 😊
@@DataProfessor Yeah, I will try it soon. 😊
not working for me says 'DataFrame' object has no attribute 'iteritems' i read on stack overflow that latest pandas has no iteritems, so need to downgrade but still after downgrading pandas still showing this error
Any chance that I can keep showing the same HTML in Github as in Colab. When I put the notebook in the github, the HTML display is gone
Hi, I recommend to download the generated HTML report and upload this HTML file to GitHub.
Hi, I think its the rendering of the notebook by GitHub that is the issue. HTML is shown in Colab or Jupyter notebook with no issues as it is using the iPython library for the HTML display. GitHub probably doesn’t support this and so it is gone. On a similar note, interactive plotly graphs that are included in some of my Jupyter notebooks when uploaded to GitHub also disappears.
@@DataProfessor got it, thanks for the clarifications
Hi data prof, when I run display.html in Anaconda Jupyter notebook I don’t get the same exact large screen you have! The cell is rather small to navigate inside of it. Is this normal? I do however get the html separately in the folder to view.
Alternatively, the html file can be opened in an internet browser such as Chrome.
Thank you for always sharing great content.
My pleasure!
Nice video. Thanks for sharing this amazing tool.
A pleasure, thanks for watching! 😊
Hi Professor. thanks For Letting Us to Know This tool..
A pleasure, thanks for watching 😊
X variable is fine but for y = penguins('species') I keep getting a "TypeError of 'DataFrame' object is not callable" which I haven't been able to figure out yet. Anyone know what might be happening? This obviously creates issues with later code cause then 'y' is not defined.
Hi, can you try replacing the parenthesis with brackets such that it becomes penguins[‘species’]
@@DataProfessor will give that a try next time thanks Data Professor!
Amazing library. I'll explore it. Thank you very much.
Thanks for watching!
Love watching your videos. Thanks for sharing.
Question though, you split out (species) as your dependant y variable at the start of the video, but then never seemed to use it. Are you doing another video on the same data set where you are predicting the species based on the other inputs?
Thanks for watching! Glad you liked them 😊
Great observation, actually I’ve made a prior video on classifying the penguins according to their species and made a web app using the Streamlit library in this video th-cam.com/video/Eai1jaZrRDs/w-d-xo.html
Had problem with step 3,2 will take a further look tomorrow
Awesome Professor thanks a lot
It's a pleasure, thanks for watching! 😊
Can u put dataset linl?
Nice video unfortunately I get this error all the time'charmap' codec can't decode byte 0x9d in position 1207412: character maps to
I'm getting module not found error
Could you help me resolve this. Thank you
Hi, have you installed sweetviz library
pip install sweetviz
@@DataProfessor yes I have. J also uninstalled and installed again but still getting same module not found error. Same thing happens with autoplotter, Vaex and pandasgui.
Please help me.🙏
What version of Python are you using? Mine is 3.7 or 3.8 and it is working fine.
@@DataProfessor I install through anaconda and it worked
Sir is it OK to use this library ,I mean will recruiters accept this or will expect me to go manually with pandas??
This is a great tool for speeding things up, as for job interview preps, it is always nice to go back to basics and be proficient at standard Python libraries like pandas, matplotlib, numpy, scikit-learn, etc.
@@DataProfessor thankyou sir for responding
@@akshykumar1118 You’re welcome :)
Can I get the ipynb file
Thanks for the reminder, here it is github.com/dataprofessor/code/blob/master/python/Sweetviz.ipynb
Appreciate this video my dog
So cool!
Thanks for watching
Thank you for sharing
A pleasure
Thanks very informative. Can you please help on how to cluster zip codes
Should freshers use it?
Awesome!!! Wait... do you think it's worth trying to "replicate" this library "from scratch"? Anyways, I think I'm going to try only for the fun of it kakaka.
Thank you, Professor!
Hi Paulo, it's definitely worth a try, to save you time, feel free to download the Notebook (.ipynb) file from the GitHub to give it a try:
github.com/dataprofessor/code/blob/master/python/Sweetviz.ipynb
Was good but no point of the x test and train, in this video