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Task 2: Data exploration and cleanup - housing prices #3

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anki112279 opened this issue May 29, 2022 · 0 comments
Open

Task 2: Data exploration and cleanup - housing prices #3

anki112279 opened this issue May 29, 2022 · 0 comments
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@anki112279
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anki112279 commented May 29, 2022

Look for data:

  • Housing price by city, type or region; house price index
  • Rent by city
  • Housing attributes such as average home size, rental unit volume.
  • Housing supply growth
  • Housing ownership
  • Construction cost etc.
  • any relevant data for predicting housing affordability

After that:

  • upload the dataset in your Kaggle notebook.
  • write script to clean up the data- remove null values, check for data types, remove irrelevant columns
  • add comments that explains about data and data columns
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