Efficient Exploratory Data Analysis In Python

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  • Опубліковано 21 лис 2024

КОМЕНТАРІ • 14

  • @longbow116
    @longbow116 Місяць тому

    This video is an excellent resource, and I’m sure everyone can learn something valuable from it. A great addition to the topic! - Thanks!

  • @ahmedabbas597
    @ahmedabbas597 Місяць тому +1

    i think the data you had worked with is not the same one you provided in the description below. I worked in the data and I found it has no missing values. though, your work is really beneficial

    • @giraffa-analytics
      @giraffa-analytics  Місяць тому +1

      you are right. I've pushed the dataset I used in this git repo. github.com/giraffa-analytics/giraffa_datasets/tree/main/eda

  • @BLG120
    @BLG120 Місяць тому +1

    thank you mam🥰

  • @r2prof
    @r2prof 27 днів тому

    Can you please share github link for python code.

    • @giraffa-analytics
      @giraffa-analytics  26 днів тому +1

      Hi! I'll look for the code and if I still have it somewhere, I'll push it to github. 😊

  • @williansuarez3988
    @williansuarez3988 4 місяці тому

    Excelent, maybe a little more of zoom +, is too small the code

  • @tarekmustafa2525
    @tarekmustafa2525 2 місяці тому

    Very nice Video!

    • @giraffa-analytics
      @giraffa-analytics  2 місяці тому +1

      I am happy you like it. If EDA interests you in particulat, there is a second video where I explore transaction data. It's gives very good practice with data wrangling and pandas. 🤗