F1 Simulator project
Minor Data Driven Business Lab
Lee,Yeseul Y.
Pieters,Joshua J.
Milushev,Aleksandar A.A.
Westerbeek,Max M.J.G.
Project description
How can FHICT implement an interactive dashboard using data insights from the F1 playseat to enhance user engagement, promote community involvement and facilitate a user-friendly experience?
We can start setting up the environment and start creating the first implementation of our dashboard on the second screen at the F1 playseat. This part of the project is going to be the most time-consuming, because there is a lot of trial and error with the designs. Connecting the dashboard and database is the first step, because displaying data is a MUST requirement for this project. With the help of the login from the previous project, there is a deviation between players their data when recording with the telemetry software tool.
At the end we create a document of how to use the current F1 playseat and the dashboard we created. With the help of the first steps (user-friendly), there should be a lot less steps for this process and easier to understand for the user.
Context
The F1 play seat is currently only available at the Fontys ICT building at TQ. This was an initiative from a couple of students that wanted to bring lecturers and students closer together with the help of a competition. The previous group has already started with collecting the data from the F1 playseat, with the help of telemetry software with a database connected.
They overcame an obstacle that the PC was not connected to the network and extracted game data from PC by connecting each computer to the same network via a wifi-router and transferring data from the PC to the laptop with JavaScript code. And then, they designed the components of the dashboard by referring to main requirements analysis and interviews and made leaderboard for the F1 simulator using Power BI. With this leaderboard, users can see their game performance data at a glance, such as speed, top speed ranking, fastest lap, break percentage by entering their names and nationalities.
Results
At the moment we have a working dashboard that is collecting the data live from the race data that is extracted from the F1 Simulator. Through the project we changed some formats for the data to make it more readable for most people.
For example, the lap time was in milliseconds. We changed this to the more common MM:SS:MS format just like the F1 races. With the first version of the dashboard we found that there wasn’t a check on which map they raced, so it would only show the fastest time of all times inside the whole database.
With the help of the current version of the dashboard, the racing can be a lot more competitive then before. Now friends and maybe colleagues can beat each other’s lap times with the help of these insights. We also did research for some new ideas that we couldn’t finish in time for the next group that is working on this project, also with a setup guide and explanation of the project.
About the project group
The people inside our project group have the most knowledge in Business related solutions with the help of dashboard and other insights. Yeseul has the most technical knowledge because she is studying in Korea in a university for data analysis. With the help of her python knowledge, we got some basic knowledge for the Streamlit app we had planned to use.
