Question
use the ChatGPT to generate a minimum of 20 records with at least five fields (see example below) and using the concepts covered in Weeks
use the ChatGPT to generate a minimum of 20 records with at least five fields (see example below) and using the concepts covered in Weeks 1-7. The outcomes that you will demonstrate in this assessment include: 1. Developing proficiency in the Python 3 language. 2. Applying knowledge of data structures and control flow to create a functional program. 3. Applying programming skills to develop an effective program.
This assessment aims to achieve the following subject learning outcomes: LO1 Interpret simple program specifications. LO4 Use an integrated development environment to develop, debug and test a solution written in a programming language. Example to generate ChatGPT Python code: 1. Input to ChatGPT (https://chat.openai.com/): 2. Output by ChatGPT (https://chat.openai.com/): This dataset contains five fields: id (integer), name (string), gender (string), age (integer), and salary (integer). Each record is represented as a sublist within the main list. Create a dataset, which should contain at least 20 records and five fields. Provide in Python 3 list and sublist format. data = [ [1, 'Alice', 'Female', 25, 50000], [2, 'Bob', 'Male', 32, 75000], [3, 'Charlie', 'Male', 45, 90000], [4, 'David', 'Male', 21, 40000], [5, 'Eve', 'Female', 28, 55000], [6, 'Frank', 'Male', 39, 80000], [7, 'Grace', 'Female', 52, 100000], [8, 'Harry', 'Male', 31, 70000], [9, 'Isabel', 'Female', 27, 60000], [10, 'Jack', 'Male', 41, 85000], [11, 'Kate', 'Female', 23, 45000], [12, 'Leo', 'Male', 37, 75000], [13, 'Mary', 'Female', 48, 95000], [14, 'Nick', 'Male', 29, 60000], [15, 'Oliver', 'Male', 35, 85000], [16, 'Patty', 'Female', 26, 50000], [17, 'Quinn', 'Male', 43, 90000], [18, 'Rachel', 'Female', 30, 65000], [19, 'Steve', 'Male', 50, 120000], [20, 'Tina', 'Female', 33, 70000]
Use the ChatGPT to generate a minimum of 20 records with at least five fields. 2. Develop a Python program that incorporates all the topics covered in Weeks 1, 2, 3, 4, 5, and 7 to process and manipulate the generated data.
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