Survey Data Cleaning and Analysis

This project focuses on cleaning and analyzing survey data using R. The process includes renaming columns for clarity and visualizing categorical variables.

Structure

• data/: Contains the raw and cleaned data files.
• scripts/: R scripts for data processing and visualization.
• README.md: Project overview and instructions.

Requirements

• R < 4.1
• Packages: tidyverse, janitor, here, pacman

But just use renv to install the required packages.

# Install renv
install.packages("renv")
renv::restore()

Key Steps

1. Data Cleaning:

   • Renames long column names for easier reference.
   • Converts character variables to factors where appropriate.

2. Data Visualization:

   • Generates bar plots for categorical variables with more than 8 categories.
   • Excludes NA values from plots and notes the count below each plot.

Usage

Run the quarto report to process the data and generate visualizations.