For the analysis of the data pertaining to gun violence in the United
States of America, the chief tool that will be used is R. R tool primarily
involves an integrated set of software facilities that have been
developed for the purpose of data analysis, simulation, statistical
modelling as well as graphics. One of the main highlights of the tool is
that it is highly effective when it comes to working on a humongous
volume of data. For the visualization purpose in the project, R will be
used since the tool helps in the formation of visually appealing and
understandable data figures by simply writing a few codes. A broad
range of functionalities of R can be used for the visualization purpose.
Data visualization is a vital aspect of the study since it will help to get a
thorough insight into gun violence data in the U.S.A (R data
visualization, 2021).
The use of predictive models is also an important part of the project.
Several predictive models will be created in order to uncover the
pattern relating to gun-related violence in the nation. Some of the
main predictive models that will be used for the research purpose
include logistic regression, neural network, support vector machine,
random forest and ensemble model. In the machine learning context,
predictive modelling is considered to be a useful statistical technique
that can aid in making predictions pertaining to future behavior. The
diverse range of predictive models has been integrated into the
research study so that the historic data on gun violence can be used
for making predictions relating to similar kinds of violence in the nation
in the future. With the help of the predictive models, it will be possible
to identify key predictors in the past events and take necessary steps
to prevent the frequency of such events.
References
R data visualization. (2021). Retrieved July 5, 2022, from
https://www.javatpoint.com/r-data-
visualization#:~:text=In%20R%2C%20we%20can%20create,data%20
through%20a%20visual%20medium.
