Datathons Solutions

Monthly Challenge – Sofia Air – Team Yagoda

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13 thoughts on “Monthly Challenge – Sofia Air – Team Yagoda

    1. 0
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      We tried, but it wasn’t successful. We are not sure how to use the Jupyter Notebook platform and we tried to upload the our file with .R extension, but there is a message that R files aren’t supported and couldn’t be uploaded. We will try it again for next time. 🙂

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    Banana team: Heeey guys & girls :),
    I like that your article is brief, have straight line in it’s structure and in the first sight you can understand every step that you take when you had worked on this phase. I’m into it that you don’t follow exactly the same steps like in the instruction article, because in this way you put your own vision how construction of the analysis should going.
    Another thing that I’m really really love that your code is simple and easy to read and every reader can figured out what happening no matter if he is Master of code (and the Force is with him) or very beginner at writing Padawan 😀
    However I have several questions:
    On one hand, why you didn’t check for N/As ( I think that I did’t see some sort of check) and got rid of them and on the other (I’m sorry that I’m so curious, but there is no hope for me) why you gave up so easily on stations that have observations only in 2017.
    Work hard and don’t forget to have fun ^.^
    P.S. (I promise that’s the last thing) It will be good if there are pictures of the plots & out-puts for some more clarity.

  2. 0
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    Hi!
    + The article is structured and there is a paragraph for each step you make.
    + Steps are explained.
    + The task for Week 1 is completed.
    —————————————————————-
    – I would like to see the result of the code. It would be much better if you include some tables (part of) or figures (maps).

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    Dear Banana Team,
    I think you have done a great job with your article and your script, both are very clear. As a person who has difficult time writing a code, as I look at yours I have no problem understanding it, which is very good, to keep it simple where it is possible. Follow the steps and don’t forget to use your imagination. I could tell that you are cautious, so my advice is – don’t be afraid to make mistakes, from them you learn the most. Good thing is to put pictures and plots to make you article more interactive and catching.

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    Hi team, thanks for this article. It would be great to copy paste your code on a Jupyter notebook and upload it as a media file (Jupyter comes for free with Anaconda Distribution so you can go ahead and install this).
    I was curious about the clustering – based on what do you define to come up with 196 clusters? Furthermore how would you estimate the temperature, pressure, etc. for these clusters, when you reach to the prediction stage, are you going to take some sort of an average?

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    Hi Team,
    Great to see your week1 and week2 work. I am not seeing your week3/4 sections, perhaps there is an error. Please let me know when you have it uploaded.

    @Kams

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