-
-
Entrance Page
-
Menu Page
-
Sample 1
-
Sample 2
-
analysis-most wins
-
analysis-pole positions
-
analysis-top race starters
-
analysis-winners' nationalities
-
analysis-overall nationalities
-
analysis-veterans' nationalities
-
analysis-trends over decades
-
R-generated image of trends
-
menu page html code - part1
-
menu page html code - part2
-
design - html - first page of code
-
design - html - last page of code
-
personality_quiz-js-1
-
personality-js-2
-
personality-js-3
-
personality-result-js-1
-
personality-result-js-2
-
python personality quiz
-
mbti-json
Inspiration
After completing a poll on one of our Twitter accounts (with 5k+ followers) seeing that there needs to be more fan personalized experiences for teams, we decided we needed to create one to involve fans more.
Overview:
Enhancing Race Car Performance and Fan Engagement through Personalized Racing Experiences
What it does
Leverage data science and personality insights to customize race car designs and enhance fan engagement
How we built it
By using Python, R, and HTML/CSS, we analyzed a data set, created a personality quiz, and allowed users to customize their own custom racecars.
Challenges we ran into
We had a little bit of difficulty combining all the parts of our program and a little bit of difficulty with the personality quiz and HTML side of it.
Accomplishments that we're proud of
We are extremely proud of creating a working, finished product!
What we learned
We learned more about HTML/CSS and integrating HTML with R.
What's next for Formula D1Y
Creating an application Branch out to other levels of motorsport (include different cars to customize, including IndyCar and NASCAR and WEC) Create data analyses on lower level Formula 2 drivers and likelihood of making it to Formula 1 Branch out to using testing other personality types besides Myers-Briggs test, such as the Enneagram test or the Big Five
Log in or sign up for Devpost to join the conversation.