Exploratory Data Analysis in Python using pandas

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  • เผยแพร่เมื่อ 5 ม.ค. 2025

ความคิดเห็น • 94

  • @aga5979
    @aga5979 4 ปีที่แล้ว +34

    This is the best comprehensive EDA intro. Hope you keep making more. Professor.

    • @DataProfessor
      @DataProfessor  4 ปีที่แล้ว +1

      Thanks for the encouragement 😃

  • @OK-dy8tr
    @OK-dy8tr 3 ปีที่แล้ว +3

    One of the best tutorials for EDA !! Lucid explanation. I have been working in data science for 3 years now and still was able to add to my knowledge here.

    • @DataProfessor
      @DataProfessor  3 ปีที่แล้ว +1

      Glad to hear that it was helpful, thanks for watching 😊

  • @patawee313
    @patawee313 3 ปีที่แล้ว +1

    พึ่งรู้ว่าคุณคนไทยครับ ทำคลิปดีมากก กลับมาใช้ python เจออันนี้พอดี สู้ๆครับ

  • @walternyc
    @walternyc 3 ปีที่แล้ว +1

    What a clear, concise but comprehensive tour of Python/Pandas/Seaborn capabilities. Thanks!

  • @timmcgrath194
    @timmcgrath194 3 ปีที่แล้ว +1

    So glad I found this. I'd delighted to be introduced to Dr. Nantasenamat's content. Very clear and applicable. Very high content to noise. I'm a geographer and we use GIS data for geoanalysis and the majority of the work is with data. I've been slowly learning a bit more Pandas and GeoPandas over time and I feel like I just had an injection of Pandas nanobots.

    • @DataProfessor
      @DataProfessor  3 ปีที่แล้ว +1

      Hi Tim, welcome to the channel. Glad to hear that you're finding Pandas useful for your GIS work. For data visualization of geo data, there are leafmap and geoplot.

  • @ranahuzaifa147
    @ranahuzaifa147 2 ปีที่แล้ว

    Many thanks for this brief video of EDA, Looking forward to learning more from this channel.

  • @meanquestion
    @meanquestion 2 ปีที่แล้ว +1

    I took a deep learning course with my only bg being having read/worked through half of Hands-On ML... Prof asked me to do an EDA and I'm like WTF, but Hands-On ML
    taught me Pandas pretty well an watching this I now know exactly what to do. Thanks!

  • @adnanklc1527
    @adnanklc1527 4 ปีที่แล้ว +9

    It's a great video. I have seen the best exploratory data analysis video in youtube. Please add examples with more complex data.

    • @DataProfessor
      @DataProfessor  4 ปีที่แล้ว +1

      Thanks Adnan for the kind words 😃 Could you suggest some data that you would like me to analyze, thanks in advance.

  • @anoopbhagat13
    @anoopbhagat13 4 ปีที่แล้ว +5

    Thank you for such a beautiful, step-wise & lucid explanation. One of the best videos on EDA.

    • @DataProfessor
      @DataProfessor  4 ปีที่แล้ว +2

      Thank you for the kind encouragement 😃

  • @AlessandroBottoni
    @AlessandroBottoni 4 ปีที่แล้ว +1

    Very nice video. A good quick intro to Pandas for beginners and a good "refresh" for rusty users. Useful and clear. Kudos!

    • @DataProfessor
      @DataProfessor  4 ปีที่แล้ว

      It’s a pleasure, thanks for the kind words 😊

  • @deepansharora7942
    @deepansharora7942 4 ปีที่แล้ว +1

    I just finished watching this video. Thanks a lot for explaining each and every step so beautifully.

  • @seanyB0123
    @seanyB0123 3 ปีที่แล้ว

    I'm working on my MSc in Applied Data Analytics and I am a complete newbie with Python. I thought it was utterly kicking my @#$e! Your video just helped me realise I was not doing any where near as bad as I thought
    Thank you :)

  • @masagusxpro
    @masagusxpro 3 ปีที่แล้ว +2

    Thanks Prof, I think this is the one that could make me easily understand what EDA is... Keep sharing good things.

  • @kevsterhere7066
    @kevsterhere7066 3 ปีที่แล้ว +2

    I haven't even watched half of the whole vid and I have already learned so much useful stuff!!!
    print('thank you ^.^ ')

  • @dilaraesmer
    @dilaraesmer 3 ปีที่แล้ว +1

    Thank you so much for preparing such a beautiful video, applied it one by one with its explanations. I even added a few extra questions, it was a useful video. "If you do not know how to ask the right question, you discover nothing." W. Edward Deming

    • @DataProfessor
      @DataProfessor  3 ปีที่แล้ว +1

      Thanks Dilara, and great quote by the way. :)

  • @yogavarshni5271
    @yogavarshni5271 2 ปีที่แล้ว

    Best EDA video ever!

  • @anuragarunedlabadkar8889
    @anuragarunedlabadkar8889 ปีที่แล้ว +1

    Excellent explanation. Thank you very much for wonderful video. Keep it up.

  • @jaw0449
    @jaw0449 3 ปีที่แล้ว

    As a physics grad student, this helped tremendously! Thank youso much

  • @EnaGoba
    @EnaGoba 3 ปีที่แล้ว +1

    Great video. I only wish I found it two days ago, would have saved me a lot of googling and frustration.

  •  3 ปีที่แล้ว

    5:00 Why do we need to export to csv and then import back?

  • @schleidenkenoh1524
    @schleidenkenoh1524 2 ปีที่แล้ว

    He explains waaayy better than my ML/Data Science teacher. lol

  • @AkashdeepDam
    @AkashdeepDam 4 ปีที่แล้ว +1

    Sir,
    It's very helpful and impressive tutorial of EDA. I really amazed by your style of presentation in Google Colab. Thank You 😊 ❤️

    • @DataProfessor
      @DataProfessor  4 ปีที่แล้ว

      Glad the contents are helpful and thanks for watching 😊

  • @BeautyByJuliette14
    @BeautyByJuliette14 4 ปีที่แล้ว +1

    Awesome video & channel!! I'm a junior undergrad student in physics and data science :)

  • @victortsado9180
    @victortsado9180 2 ปีที่แล้ว

    I love your EDA about the NBA_2019, what is the command you used to get the Acronym. please can you share it.

  • @kanimozhipanneerselvam3017
    @kanimozhipanneerselvam3017 4 ปีที่แล้ว +1

    Awesome Explanation as Always!! Professor!!🙂

    • @DataProfessor
      @DataProfessor  4 ปีที่แล้ว

      Thanks for the encouragement 😃

  • @fahadreda3060
    @fahadreda3060 4 ปีที่แล้ว +2

    Easily explained , Thanks Professor

    • @DataProfessor
      @DataProfessor  4 ปีที่แล้ว

      Thanks for watching and for the kind comment 😃

  • @Chandu-zh7xo
    @Chandu-zh7xo 2 ปีที่แล้ว

    Why did you write the data to a Csv, and read csv file in again for the data analysis ? Is write to csv an optional step?

  • @arkadipbasu828
    @arkadipbasu828 2 ปีที่แล้ว +1

    Thank you, learnt a bunch of new functions

  • @marcao121
    @marcao121 2 ปีที่แล้ว +1

    Great content ! incredible and well explained!

  • @freehappymeal
    @freehappymeal 2 ปีที่แล้ว +1

    Thank you! It's easy to follow along.

  • @Playstore-zc5xk
    @Playstore-zc5xk 4 ปีที่แล้ว +1

    As usual.... Another great video...

    • @DataProfessor
      @DataProfessor  4 ปีที่แล้ว +1

      Thanks for the kind words!

  • @ventin75
    @ventin75 4 ปีที่แล้ว

    Hi prof, can I work with 2 dataframes in pandas like a vlookup in Excel? ie, i want to fill a column in df1 with a search criteria match on df2.

  • @phafid
    @phafid 3 ปีที่แล้ว +1

    I am an experienced R user. I can write code in R just like a teenager writes a diary. However, I really want to switch to Python as for some aspect, I found Python is much better. This video is exactly what I need to transition from R to Python.

    • @DataProfessor
      @DataProfessor  3 ปีที่แล้ว

      Glad to hear that the video was helpful in your transition. I have another video on this very topic, feel free to check it out th-cam.com/video/zyh2HU1efo4/w-d-xo.html

  • @DarkCirer
    @DarkCirer ปีที่แล้ว

    Hola muchas gracias por compartir este video, me ha servido de mucho

  • @nettogrowthpartners9567
    @nettogrowthpartners9567 2 ปีที่แล้ว

    Thank you Professor!!

  • @AnalogDave
    @AnalogDave 3 ปีที่แล้ว

    I'm up to the point where I find the player with the most points but I found that it was wrong. I had to convert the PTS column to an integer and then find the max value.

  • @examiningexcellence
    @examiningexcellence 4 ปีที่แล้ว +1

    Thanks for the video Prof, much appreciated

  • @crm3q
    @crm3q 3 ปีที่แล้ว +1

    Love your content!! Question: I have to choose between PhD in Biomedical Informatics or Biomedical Data Science. Which do you think would be more beneficial long term?(jobs,pay) Both programs are fully funded.

    • @DataProfessor
      @DataProfessor  3 ปีที่แล้ว +1

      Hi, I think you’ll have to take a deeper dive into the details of each program. Look through the course offerings, look through some of the potential research projects and PhD supervisors that you would like to work with. The title of both programs are close enough so we will have to look at the granular differences. Hope this helps.

    • @crm3q
      @crm3q 3 ปีที่แล้ว

      @@DataProfessor Thank you so much!

  • @joshuam2341
    @joshuam2341 4 ปีที่แล้ว +1

    That was amazing!

  • @rogerioamaral2784
    @rogerioamaral2784 4 ปีที่แล้ว +1

    Hi Teacher, Do you have plans to make a video tutorial about de DASH?

    • @DataProfessor
      @DataProfessor  4 ปีที่แล้ว +1

      Thanks for the suggestion, will look into it 😃

  • @bontle4157
    @bontle4157 3 ปีที่แล้ว

    I’m unable to open this as a document

  • @inj1979
    @inj1979 ปีที่แล้ว

    Thanks. 🍓🍓🍓

  • @addictedroaster1573
    @addictedroaster1573 3 ปีที่แล้ว

    I think u should zoom in your window... Because some are using 360p

  • @Abdullahkbc
    @Abdullahkbc ปีที่แล้ว +1

    14:42 would be shorter and easier with this. df[df['Tm']=='LAL']

  • @AnupRanjanDasQA
    @AnupRanjanDasQA 4 ปีที่แล้ว +1

    good one

  • @muhammadjamalahmed8664
    @muhammadjamalahmed8664 4 ปีที่แล้ว +1

    Love it...

  • @aireescreates
    @aireescreates 4 ปีที่แล้ว +1

    Thank you!

    • @DataProfessor
      @DataProfessor  4 ปีที่แล้ว

      You're welcome! Thanks for watching!

  • @panzonecadutodifaccia
    @panzonecadutodifaccia 4 ปีที่แล้ว +1

    thank you sir

  • @zarifhossain515
    @zarifhossain515 4 ปีที่แล้ว +1

    soooo good .

  • @Bridgetugochi
    @Bridgetugochi 2 ปีที่แล้ว

    Pls what is the GitHub of the data professor,I can't see it clear

    • @DataProfessor
      @DataProfessor  2 ปีที่แล้ว

      Hi it’s github.com/dataprofessor

  • @ravitanwar9537
    @ravitanwar9537 4 ปีที่แล้ว +4

    kindly zoom in when you are showing the code. apart from that nice video as always

    • @DataProfessor
      @DataProfessor  4 ปีที่แล้ว +1

      Thanks for the valuable suggestion and thanks for watching. My apologies, in recent videos I have increased the font sizes 😃

    • @ravitanwar9537
      @ravitanwar9537 4 ปีที่แล้ว +1

      @@DataProfessor nice nice. So I can definitely see influence of @ken jee in this sports analytics project😅.anyway keep coming up with more such content and if possible start an interview prep series with Ken.

    • @DataProfessor
      @DataProfessor  4 ปีที่แล้ว

      55, yeah, Ken’s a very inspirational data scientist. Thanks for the suggestion 😃

  • @username42
    @username42 4 ปีที่แล้ว +3

    please consider for next times either using a bigger font sizes or zoom in the screen :) not everyone is watching these videos at 40" screens :)

    • @DataProfessor
      @DataProfessor  4 ปีที่แล้ว +2

      Sorry for this, greatly appreciate the feedback, in recent videos have been using bigger fonts, will definitely keep this in mind for future videos as well 😃

  • @wrednymaz
    @wrednymaz 4 ปีที่แล้ว +1

    Poor dataset choice.

  • @pablomandryk5433
    @pablomandryk5433 4 ปีที่แล้ว +2

    Thank you!