Adoption of Data Science Process in Project Delivery

1. Research understanding: we wanted to align our project on issues close to the heart of Malaysians i.e. Road Safety. Infamously, Malaysia has the third highest fatality rate from road accidents in Asia and second in Asean region.
2. Data requirement and data gathering: various resources and materials related to the issues are available online. These include annual statistical books and open government databases (e.g. data.gov.my and ASEANStatsDataPortal)
3. Data Cleaning: following data extraction, we performed data cleaning using various packages in R (e.g. plyr, tidyr, etc.). The data were transformed into more decipherable and structured form for visualisation.
4. Exploratory Data Analysis: there has been several attempts made to fit the data into different kinds of graphs and charts. We have brainstormed to pick which type of graph would best convey the insights.

Research Problems and Question

Research problems

• There are too many fatal accidents happening recently which is very unbecoming of Malaysian drivers; especially those contributed from road rage accidents.
• Drivers in Malaysia are not aware of the road safety statistics in Malaysia that they don’t pay attention to when driving through dangerous and hazardous roads.

Research questions

• How is the trend like with road accidents in Malaysia? Has it increased or decreased over the years?
• What has become the significant contributor to road accidents that happen in Malaysia?
• What is the fatality rate from road traffic accidents of Malaysia in comparison to other countries in Asean region?

Summary of Experience & Lesson Learnt

1. Collaborated together to generate ideas and ironed out differences by regularly catching up.
2. We think the local authority can do more for improving road safety in Malaysia, hence we came out with our suggestions for Road Safety, which is the focus of our project.
3. We troubleshooted and struggled with publishing our Shiny dashboard to RPubs. We are thankful for the help from other group members.

Source of Data and Product

Data Source: Mentioned in MyRoSe shinyapps.io

To view the Product in shinyapps.io Click this link
To view the Rcode in GitHub, Click this link