While working on the project relating to gun violence in the United States of
America between the years 1992 to 2022, a number of statistical techniques
have been used to get a detailed insight into the collected datasets. One of the
main statistical tools that have been used in the research work is the R tool
(Sanchez et al., 2020). f In the Machine Learning context, R is considered to be
one of the most effective and useful programming languages that help in
computational statistics as well as visualizations. The R tool has been used for
reading the data. One of the main reasons for using R as a key machine
learning technique is the availability of a large library that can be used in the
data handling and analysis process. The application of different kinds of R
codes in the project has helped to clean, simplify and transform the data.
Apart from the excel library of R, RStudio has been used as a vital technique
in the context of the gun violence project. RStudio can be defined as a series of
integrated tools that are designed for increasing the level of productivity of R.
With the help of the specific function, it has been possible to perform the
statistical computing operations on the gun violence detail that has been
captured for the research purpose.
The role of statistical or machine learning techniques is vital since it has aided
in the data visualization aspect as well. Some of the key visualizations that
have been done in the project context to present the information in a visual
manner include gun violence plot, demography plot, state-wise demography
plot and gun laws plot. Each of these plots has been constructed with the help
of RStudio. Thus, R has been used as the primary statistical technique while
working on the data relating to the project.
References
Sanchez, C., Jaguan, D., Shaikh, S., McKenney, M., & Elkbuli, A. (2020). A
systematic review of the causes and prevention strategies in reducing gun
violence in the United States. The American Journal of Emergency Medicine,
38(10), 2169-2178
