Build notes · Goh Kun Ming
Statistical Analysis of AI Industry Trends
Data · Public project
Nov 2024 – Feb 2025
Project overview
A statistical coursework investigation of AI-industry trends, presented through charts and a data-storytelling poster.
A statistical investigation of AI-industry trends, presented as a data-storytelling poster. The work examines relationships involving training compute, model performance, experience, salaries and AI adoption.
Inside this build
- Explored real-world datasets describing the AI industry.
- Investigated relationships between training compute and model performance, and between experience and salary.
- Compared salary patterns associated with AI adoption using descriptive statistics and group analysis.
- Applied ANOVA and Tukey HSD alongside correlation and regression views.
- Communicated the findings through an A3 poster with box plots, histograms and supporting statistical explanations.