This project provides a detailed statistical analysis and visualization of apartment rental data for students in Rexburg, Idaho. The data includes various characteristics of 122 apartments, with the objective to explore rent prices, deposits, apartment capacities, and other amenities that might influence students' housing choices.

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This project provides a detailed statistical analysis and visualization of apartment rental data for students in Rexburg, Idaho. The data includes various characteristics of 122 apartments, with the objective to explore rent prices, deposits, apartment capacities, and other amenities that might influence students' housing choices.

R

AI Summary: This issue focuses on refactoring the R code for the `Student-Apartments-Statistical-Analysis` project to improve modularity, reproducibility, and maintainability. It also aims to upgrade the `ggplot2` visualizations to publication-grade by implementing a consistent theme, clear labeling, and color-blind safe palettes, ensuring a one-command rendering process.

Complexity: 3/5
enhancement good first issue

This project provides a detailed statistical analysis and visualization of apartment rental data for students in Rexburg, Idaho. The data includes various characteristics of 122 apartments, with the objective to explore rent prices, deposits, apartment capacities, and other amenities that might influence students' housing choices.

R