This project involves the analysis of task data obtained from students to measure depression levels. The data is collected through a survey containing questions related to depressive symptoms and other demographic information. The goal is to process and analyze this data to gain insights into depression levels among students.
To run the analysis:
task_data.R
script in RStudio or any other R environment.The data is stored in an Excel file named task_data.xlsx
. It includes columns for various survey questions related to depressive symptoms, as well as demographic information such as age, gender, and study ID.
readxl
, tidyverse
, here
, skimr
, janitor
, dplyr
, ggplot2
, and reshape2
.read_excel
function from the readxl
library.str
, colnames
, head
, skim_without_charts
, and glimpse
.The analysis provides insights into the depression levels among students based on the survey responses. Visualizations such as histograms or bar charts may be used to illustrate these findings.
This project demonstrates how to analyze task data related to depressive symptoms among students. The insights gained from this analysis can be valuable for understanding mental health issues in educational settings and guiding intervention strategies.
For any questions or inquiries, please contact the project owner, Chris, at christianwilliamsjire@gmail.com.