PS1_optional_ex

This is the solution to PS 1 optional exercise.

Objective

Reconstruct the simulated data frame from Lecture 2, then perform the necessary data wrangling to transform the individual-level data frame into a household-level data frame.

Tasks

1. Recreate the initial data frame as shown in the provided screenshot. Use simulated data to generate a new data frame containing the specified information.
2. Develop functions to derive the features displayed in the household-level data frame (the second screenshot).
3. Adhere to Git and GitHub workflow practices:
   • Create a separate branch for each new function
   • Submit a Pull Request (PR) for each function
   • Merge the PR into the main branch upon completion
4. You may complete this assignment individually or in teams.

Guidelines:

1. Utilise Git and GitHub
2. Implement a modular code structure to enhance maintainability:
   • Create functions within separate modules
   • Import these functions into your main orchestration script
     • Use the imported functions to execute the steps "create_simulated_data()" and "generate_household_level_data()" (you are free to come up with better naming)

Reflection Question

Question: What are some potential use cases for generating simulated data?