Classwork 6

Pandas Basics - Convering Data Types; Filtering Data; Dealing with Missing Values/Duplicates

Author

Byeong-Hak Choe

Published

February 17, 2025

Modified

February 10, 2025

Direction

The netflix.csv file (with its pathname https://bcdanl.github.io/data/netflix.csv) contains a list of 6,000 titles that were available to watch in November 2019 on the video streaming service Netflix. It includes four variables: the video’s title, director, the date Netflix added it (date_added), and its type (category).

Question 1

Optimize the DataFrame for limited memory use and maximum utility by using the astype() method.

Answer:

Question 2

Find all observations with a director of “Martin Scorsese”.

Answer:

Question 3

Find all observations with a title of “Limitless” and a type of “Movie”.

Answer:

Question 4

Find all observations with either a date_added of “2018-06-15” or a director of “Bong Joon Ho”.

Answer:

Question 5

Find all observations with a director of “Ethan Coen”, “Joel Coen”, and “Quentin Tarantino”.

Answer:

Question 6

Find all observations with a date_added value between January 1, 2019 and February 1, 2019.

Answer:

Question 7

Drop all observations with a NaN value in the director variable.

Answer:

Question 8

Identify the days when Netflix added only one movie to its catalog.

Answer:

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