The dataset used in provided in Appendix 1.
(a) State and discuss how to read the dataset with Python and identify the dimensions of the dataset with Python.
(b) Identify the variables with missing values using Python and discuss why it is necessary to handle missing values.
(c) Propose ways to treat the missing data with Python and explain rationale(s) of the treatment(s).

 

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APPENDIX 1 - DATA DICTIONARY Variable month town flat_type block street_name storey_range floor_area_sqm flat_model lease commence_date remaining_lease resale_price Description Month Town Flat type Block Street name Storey range Floor area sqm Flat model Lease commence date Remaining lease Resale price Unit of Measure sqm $ APPENDIX 1 - DATA DICTIONARY Variable month town flat_type block street_name storey_range floor_area_sqm flat_model lease commence_date remaining_lease resale_price Description Month Town Flat type Block Street name Storey range Floor area sqm Flat model Lease commence date Remaining lease Resale price Unit of Measure sqm $

Answer rating: 100% (QA)

a To read the dataset with Python you can use the pandas library which provides various functions to load and manipulate data For example if your dataset is in a CSV file you can use the readcsv funct... View the full answer