An Exploratory Data Analysis (EDA) project that explores the global Artificial Intelligence (AI) job market through data visualization and descriptive statistics.
This project was developed as a final project for a university course on Exploratory Data Visualization.
The rapid growth of Artificial Intelligence has significantly reshaped the global job market.
This project aims to explore key characteristics of AI-related jobs, including:
- Job roles and categories
- Salary distribution
- Experience levels
- Company size and characteristics
- Geographic trends
The analysis focuses on uncovering patterns and insights through visual exploration rather than predictive modeling.
This project applies Exploratory Data Analysis (EDA) techniques such as:
- Data cleaning and preprocessing
- Descriptive statistical analysis
- Distribution and comparative visualizations
- Insight-driven interpretation
The analysis is implemented using RMarkdown, enabling reproducible analysis that integrates code, narrative, and visual output.
- R
- RMarkdown (.Rmd)
- ggplot2
- dplyr
- tidyr
- HTML output
- 📄 HTML Report – main analysis output containing visualizations and insights
- 📜 RMarkdown (.Rmd) – reproducible analysis source code
The HTML report is recommended for viewing the complete analysis.
To reproduce the analysis locally:
- Open the
.Rmdfile using RStudio - Install the required R packages if necessary
- Click Knit to generate the HTML output
Project Dive into the Global AI Job Market merupakan final project mata kuliah Visualisasi Data Eksploratori.
Analisis dilakukan menggunakan RMarkdown dengan tujuan mengeksplorasi karakteristik pekerjaan di bidang Artificial Intelligence secara global melalui visualisasi data dan statistik deskriptif.
Project ini menekankan proses eksplorasi data, interpretasi visual, serta penyampaian insight secara sistematis.