/dataGenVisDropout

Primary LanguageJupyter Notebook

Data Generation And Visualisation

This is university homework taken to an extreme.

What Was asked of us is to explore some of the reasons people dropout. First step is to ask the questions that could lead us to knowing some of the factors and then fill up a dataset manually and visualize said dataset.
I thought it was silly to ask us to fill it up manually and so i spend an entire day setting up genQuestionnaireDataset.ipynb so I could have it create a dataset of 17k rows
Let me be clear, the dataset is in no way perfect but it does the job for now.

  • genQuestionnaireDataset.ipynb: generates questionnaire dataset using data inside randomUsers.csv
  • genRandomUser.ipynb: fetches Random fake users using the API mentioned below and saves it torandomUsers.csv
  • visualizeDropouts.ipynb: data visualization attempt
  • progress bar.ipynb : self explanatory 😋

Tips

If you want to create a new dataset of random users using the api you'll need to sign up at RapidAPI and subscribe to the API for Free and get your own api key

Attributions

I took the printProgressBar function from this Stackoverflow Comment

Feedback is always appreciated 🤍

Create Issues or pull requests if there are any improvements i can make to the dataset generation process or any other part of this project