1. For a matter of convenience, airports from across the country use multiple identifiers including a 3 character Airport Code. Load the data from 'Stations.csv' and create a data structure that will map a 3 character Airport code to the location of the airport, both its city and state. 2. Load the data from 'CompleteData.csv' and compute both the most popular departing cities, and the most popular arriving cities. Allow the user to specify the number of popular cities they would like know about. Then export the resulting number of cities as 2 separate tsv files, with a header including at the city, the state, and the number of either flights going out of that city or flights going into the city. Make sure to name the files clearly. Please include both the source files and the output files in your GitHub repository.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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I need help with the python codes plz help
1. For a matter of convenience, airports from across the country use multiple identifiers including
a 3 character Airport Code. Load the data from 'Stations.csv' and create a data structure that
will map a 3 character Airport code to the location of the airport, both its city and state.
2. Load the data from 'CompleteData.csv' and compute both the most popular departing cities,
and the most popular arriving cities. Allow the user to specify the number of popular cities they
would like know about. Then export the resulting number of cities as 2 separate tsv files, with a
header including at the city, the state, and the number of either flights going out of that city or
flights going into the city. Make sure to name the files clearly. Please include both the source
files and the output files in your GitHub repository.
Transcribed Image Text:1. For a matter of convenience, airports from across the country use multiple identifiers including a 3 character Airport Code. Load the data from 'Stations.csv' and create a data structure that will map a 3 character Airport code to the location of the airport, both its city and state. 2. Load the data from 'CompleteData.csv' and compute both the most popular departing cities, and the most popular arriving cities. Allow the user to specify the number of popular cities they would like know about. Then export the resulting number of cities as 2 separate tsv files, with a header including at the city, the state, and the number of either flights going out of that city or flights going into the city. Make sure to name the files clearly. Please include both the source files and the output files in your GitHub repository.
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