AI Job Replacement
& Skill Shift Analysis
A rigorous exploratory data analysis investigating how artificial intelligence is reshaping employment risk, salary outcomes and workforce skill demands across 15,000 records, 8 industries, 9 countries and 7 years of data from 2020 to 2026.
The AI Job Replacement Dataset (Kaggle) — 15,000 rows × 20 columns, zero missing values, zero duplicates.
Univariate Analysis
Individual feature distributions, counts and risk breakdowns across all 15,000 records.
Bivariate Analysis
Pairwise relationships — how automation risk connects to AI scores, salaries and reskilling urgency.
Correlation Analysis
Statistical co-movement between all 14 numeric features — isolating the dominant automation vs replacement signal.
Categorical Analysis
Comparing job roles, industries and countries across every key AI impact metric.
Multivariate Analysis
Pivot heatmaps and composite charts combining 3+ variables to reveal hidden cross-dimensional patterns.
Time Series Analysis
Tracking disruption metrics from 2020 to 2026 — trends, stability and salary shifts over time.
Geographic Analysis
Global mapping of AI disruption intensity across 9 countries worldwide.
Advanced Analysis
High-impact synthesis: future-proof roles, cross-country flows and multi-dimensional industry profiling.