worldbank-project

➡️ View the Report ⬅️

About the Project

Originally submitted in 2019 as a final project

In this project, I am hoping to determine if there is a relationship in countries between school enrolment rates and the following factors: access to electricity, rate of urbanisation, and the number of hospital beds per 1000 people. I will utilise data from the World Bank. In order to analyse, I’ll create a linear model for each outcome measure with all the predictors, and a sub-model without the Hospital beds (per 1,000 people) predictor to compare whether or not the models have significant differences. With these models, I’ll conduct ANOVA tests, interpret coefficients & confidence intervals, and compare their regression diagnostic plots to measure the models’ fit and to analyse their potential differences and similarities.

Packages Used

• tidyverse
• wbstats
• ggfortify

Setup

A. Access the report HERE.

OR

B. Knit the report using the following steps:

1. In rstudio run the following command to install the packages used:

install.packages(c("tidyverse","wbstats","ggfortify"))

*This command will install tidyverse, wbstats, and ggfortify.

2. Clone the repo and open the World Bank Find.Rmd file located in the src folder in Rstudio.

3. Knit the rmarkdown file.