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Read a list of cities from a file named "Cities.txt" and store them in a Python list of dictionaries. Cities.txt: New York City, United States, 8,175,133 Tokyo, Japan, 13,929,286 London, United Kingdom, 8,982,000 Shanghai, China, 24,183,000 Mumbai, India, 12,478,447 Mexico City, Mexico, 8,918,653 Output all the cities in your list. Output all cities with a population greater than 10 million. Output all cities located in Asia. Calculate the average population of all cities in your list. Create a histogram of the countries. Each element in the histogram should represent the count of cities in a specific country. Take all the cities in "Cities.txt" and store them in a Python set of tuples where each tuple represents (city name, country). Output all unique countries represented among the cities. Output the total number of entries in your set.

Read a list of cities from a file named "Cities.txt" and store them in a Python list of dictionaries. Cities.txt: New York City, United States, 8,175,133 Tokyo, Japan, 13,929,286 London, United Kingdom, 8,982,000 Shanghai, China, 24,183,000 Mumbai, India, 12,478,447 Mexico City, Mexico, 8,918,653 Output all the cities in your list. Output all cities with a population greater than 10 million. Output all cities located in Asia. Calculate the average population of all cities in your list. Create a histogram of the countries. Each element in the histogram should represent the count of cities in a specific country. Take all the cities in "Cities.txt" and store them in a Python set of tuples where each tuple represents (city name, country). Output all unique countries represented among the cities. Output the total number of entries in your set.

Database System Concepts
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
Section: Chapter Questions
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Read a list of cities from a file named "Cities.txt" and store them in a Python list of dictionaries. Cities.txt: New York City, United States, 8,175,133 Tokyo, Japan, 13,929,286 London, United Kingdom, 8,982,000 Shanghai, China, 24,183,000 Mumbai, India, 12,478,447 Mexico City, Mexico, 8,918,653 Output all the cities in your list. Output all cities with a population greater than 10 million. Output all cities located in Asia. Calculate the average population of all cities in your list. Create a histogram of the countries. Each element in the histogram should represent the count of cities in a specific country. Take all the cities in "Cities.txt" and store them in a Python set of tuples where each tuple represents (city name, country). Output all unique countries represented among the cities. Output the total number of entries in your set.
Transcribed Image Text:Read a list of cities from a file named "Cities.txt" and store them in a Python list of dictionaries. Cities.txt: New York City, United States, 8,175,133 Tokyo, Japan, 13,929,286 London, United Kingdom, 8,982,000 Shanghai, China, 24,183,000 Mumbai, India, 12,478,447 Mexico City, Mexico, 8,918,653 Output all the cities in your list. Output all cities with a population greater than 10 million. Output all cities located in Asia. Calculate the average population of all cities in your list. Create a histogram of the countries. Each element in the histogram should represent the count of cities in a specific country. Take all the cities in "Cities.txt" and store them in a Python set of tuples where each tuple represents (city name, country). Output all unique countries represented among the cities. Output the total number of entries in your set.
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