Coding Challenges on Duplicate and Missing Data
Assess your ability to deal with duplicate and missing data using Python.
Challenge 1: Find and delete duplicate records
We've already imported the pandas library. Write code to delete duplicate records in the cities.csv
dataset. Load the dataset in cities_df
DataFrame and then save the unique records in a unique_df
DataFrame.
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