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Nicholas Pease
2025-12-18 18:15:29 -05:00
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task1.py
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# Nicholas Pease # Nicholas Pease
# I decided to try MongoD because structure of documents, which aligns closely with JSON format, where I store a majority of the data I work with in other projects. # I decided to try MongoD because structure of documents, which aligns closely with JSON format, where I store a majority of the data I work with in other projects.
# I stored the data in this assignment in a collection of movie documents, where each document contains information about a movie, its directors, and its cast. # I stored the data in this assignment in a collection of movie documents, where each document contains information about a movie, its directors, and its cast.
# Answer to part c: If we were accessing movies primarily by their years, followed by their names, I would create a compound index on the 'year' and 'movie_name' fields in the MongoDB collection.
import csv import csv
import pandas as pd import pandas as pd