Reflection of PSDA Project 2
This is the second Project of the PSDA Subject that we must complete in Project 2. The goal of this project is to collect supporting information that will be used to derive statistical analysis. We were initially free to choose our own topic and datasets. There are six datasets were obtained, and we need to choose one to be our data, then we would analyze the data and use for our project. Following debate, our group decided to use the "Worldwide COVID-19 Data" dataset from the online resource Kaggle. The dataset's information pertains to COVID-19 instances in 209 different nations. The project's objective was to explore the association between the total number of COVID-19 cases, total number of deaths, total number of recovered cases, and total number of active cases. As a result, we employ Rstudio to do statistical analysis in order to evaluate the association between each of the variables.
Because there are several relationships variable need chooses to compare. Hypothesis testing, correlation, regression, and way anova are all required use to find the test statistic. Using R Studio for statistical analysis was quite difficult for me because I first time to do the statistical analysis on my own and need I to execute it correctly. However, the e-learning class notes given by Dr are really beneficial for comprehension, and I do my best to conduct test analysis. Furthermore, I discovered some example video on YouTube as extra notes to help me comprehend this data analysis encoding. Therefore, all the resources help me improve my skills in coding using R Studio, and I wrote reports based on the findings in the data.
To sum it up, implementing test analysis using R Studio is a brilliant experience. In addition, this project was more tough for me than the prior one. This is due to the fact that it is difficult for me to grasp and to come up the graph, but I try my best to done it. However, I profit from this endeavor since it allows me to conduct the study, discovery, and analysis by myself. Finally, I feel that this initiative will be extremely beneficial to my future career and I very thanks to Dr Nor Azizah to guide us in this project.