Read the articles below about data preparation & how to perform basic data preparation in python.

https://medium.com/@chhavi.saluja1401/data-preparation-a-crucial-step-in-data-mining-dba35772f281Links to an external site.

https://towardsdatascience.com/cleaning-and-preparing-data-in-python-494a9d51a878Links to an external site.

https://www.kdnuggets.com/2017/06/7-steps-mastering-data-preparation-python.htmLinks to an external site.

Apply one of the python techniques above to prepare a dataset. For example, you can remove data rows or columns that have lots of missing values in a given dataset.

You can work with the US Census Income Dataset file. It contains at least one column that has many missing values. You can use the python functions discussed above to remove these columns.

Activity Submission:

Submit your code, a description of the dataset and the type of preparation you did.