This project aims to analyze women's access to justice through the traditional Xeer system in Somalia. The focus is on understanding the prevalence of intimate partner violence (IPV) and rape, as well as the barriers women face in accessing justice.
The dataset contains responses from a survey conducted to assess women's experiences and perceptions related to justice and security. Key variables include demographic information, experiences with violence, and knowledge of local justice mechanisms.
- To understand the distribution and prevalence of IPV and rape among women.
- To identify barriers that women face in accessing justice.
- To analyze the relationship between demographic factors and women's experiences with violence and justice mechanisms.
- Data Cleaning and Transformation: The dataset is cleaned and variables are recoded for consistency and ease of analysis.
- Descriptive Statistics: Basic descriptive statistics and visualizations are used to summarize the data.
- Statistical Tests: Appropriate statistical tests are conducted to explore relationships between variables and to test hypotheses.
The analysis includes detailed results from descriptive statistics, visualizations, and statistical tests. These results help in understanding the key patterns and insights related to women's access to justice.
The findings from this analysis provide valuable insights into the challenges women face in accessing justice in Somalia. These insights can inform policy and interventions aimed at improving justice mechanisms for women.
- Clone the Repository:
git clone https://github.com/Chetank190/Gender-Discrimination-analysis-using-R-programming.git
cd repository-name
-
Install Dependencies:
- Ensure you have R and the required packages installed.
- Install necessary packages using the following R commands:
install.packages(c("readxl", "tidyverse", "rstatix", "knitr")) -
Run the R Notebook:
- Open the analysis.Rmd file in RStudio or any other R Markdown editor.
- Knit the document to generate the HTML or PDF report.