PSDA Project 1

            In this project, we are using R studio to analyse the data. This is my first time to use R and it is interesting. As we know, R is a programming language and software environment which can bring a lot of benefits to the computer scientists. In this project, we are required to use R for the data analysis. When carry out this project, we have to do things step by step like collect data, store data, move data, transform and aggregate them else make some discussion and conclude what we get from this project. I can say that the opportunity is golden, every wise man will grab the chance and learn to master in R studio through this project. It is amazing to see how the primary data collected from the survey we have done, transformed into graphical representations through some clicks in R.

            To conduct the survey, the data analysis process must be undergone. Firstly, we understand the trend of online shopping and decide what questions to be asked. Me and my group members try hard to think of various types of question using the different level of measurements. After the questions are prepared well in Google Form, we spread them through sharing in Whatsapps. The duration taken for us to collect the primary data is 1 week. After that, we proceed to the steps of data summarization and preliminary analysis. We try to think what is the suitable graph to be used to represent the data so that all of the information can be well understood  from the raw data.

            After going through the analysis step, we make some discussion and conclusion using the information we get. However, it is unfortunately for us to carry out this analysis during the Movement Control Order (MCO). Me and my members use the online face-to-face method solve all kinds of problems that we faced.  At the same time, we always gather online to discuss about the description and conclusion by observing the relationship between some graphs. As we know, some of the graphs can be linked so that we can have a different view and get more information. We distribute the tasks evenly so that each of us have to chance to learn how to use the R studio and the video presenting. 

            I have learned a lot after using the R. How the data frame is created, how we know the type of data, how we presented the data into graphic representation so that it is clear to be seen. All those just have to filter the primary data, import into R and start coding. Graphic representations can be makes more attractive and better by changing the colors, the dimensions, the width and more. At the same time, computer scientists can directly get the vales they wanted by just some clicks and no need to do the complicated calculations. My goal is to create a powerful and better statistical tool but not keep using the existing statistical tools.

           After our project description is completed, we have to make a clear presentation about the survey we have carried out. There are a lot of animations and extra small conclusions added in the slides to make our graphic representations looks more interesting. We only present some special graphs that have the points. This presenting tasks are distributed evenly. On the other hand, we record our  Microsoft Power Point slide shows without showing faces. This is because all of us want to create the perfect slides that have no obstacle  for the lecturer.