GP6: analysis of employee exit surveys

Hi all,

I’ve completed another GP, this time i’ve been analyzing (as a lot of people before me :slight_smile: ) the employee exit surveys.

Check it out if you like and some feedback is always very much appreciated!

Clean and Analyze Employee Exit Surveys.ipynb (311.0 KB)

Click here to view the jupyter notebook file in a new tab

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Hi @leonhekkert! Thanks for sharing another project with the Community:) As previously you have a nice and easy-to-follow project (although not that as the previous project).

Personally, I liked how you managed to put all the information coming from the data exploration into one table. I learned something new thanks to you:)

Some suggestions from my side:

  • You have plenty of typos, correct them
  • I believe you copied the introduction from DataQuest. If it’s true, could you paraphrase it to make the project more unique?
  • Well done on commenting on the code, but towards the end, you stopped doing it. Sometimes it’s been a bit hard to understand your code
  • The function year_cat seems pretty complicated. I don’t understand some parts of the code. Like why do you use isinstance? You should write a couple of comments that explain the main two parts of the function
  • Plots are nice but it took me some time to figure out what “relative” means. Do you believe it’s necessary?
  • You should switch the titles and subtitles. The title should give a general idea of what’s the plot about while the subtitle should inform the reader what’s the most important piece of information
  • The “absolute” plots don’t have correct x tick labels (I believe they are percentages)

I hope my suggestions are helpful. Happy coding and good luck with your next projects @leonhekkert :grinning:

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Hi @artur.sannikov96,

thanks for giving so much valuable feedback once again on one of my guided projects!
I will look into it and come back ASAP.

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