UA_Academic_Events - project is dedicated to the analysis of academic event metadata. It involves loading, processing, and statistical analysis of data sourced from various inputs.
Getting Started To work with this project, you need to have R and RStudio installed. Data and scripts are accessible via GitHub.
Installation
Clone the repository: git clone https://github.com/Sabishka10101/UA_Academic_Events.git Open the R project file (*.Rproj) in RStudio. Install the required R packages (if not already installed): install.packages(c("ggplot2", "dplyr", "tidyr", "reshape2", "scales")) The project scripts perform the following functions:
'script1.R' - Loads and displays data about the metadata of academic events. 'script2.R' - Analyzes the data using the chi-squared test and p-value. 'script3.R' - Visualizes the results using graphs. Run each script sequentially to obtain the results.
Data data <- read.csv("https://raw.githubusercontent.com/Sabishka10101/UA_Academic_Events/main/your_data_file.csv")
Expected Results 1. Statistical analysis of the importance of various metadata. 2. Visualizations reflecting key aspects of the data. 3. Analyzes the data using the chi-squared test and p-value.
Use to access data using launch RStudio:
DOI: 10.5281/zenodo.10468460