UK Economic Health Dashboard
A live version of the macro dashboard, rebuilding the core Power BI visuals in React so the project can be explored directly on the website. The analysis tracks inflation, unemployment, GDP growth, and Bank Rate from 2010 to 2024 using official UK data.
Latest CPI Inflation
2.5%
Aligned to the latest single monthly reading used in the Power BI dashboard.
Latest Unemployment
4.3%
Aligned to the latest single monthly reading used in the Power BI dashboard.
Latest Bank Rate
5.11%
Aligned to the latest single monthly reading used in the Power BI dashboard.
Latest GDP Growth
0.5%
Aligned to the latest quarterly reading used in the Power BI dashboard.
Overview
A high-level macro snapshot across all four indicators.
CPI Inflation
Inflation peaks are immediately visible, especially the 2022 surge.
Unemployment Rate
A steadier labour-market series than inflation, even through recent shocks.
GDP Growth
Quarterly GDP keeps the COVID collapse and rebound visible in the overview, matching the dashboard logic.
Bank Rate
Policy was stable for years, then shifted sharply during the inflation shock.
Crisis Moments
A tighter view of the COVID collapse and later inflation shock.
COVID-19 Output Shock
Quarterly GDP growth keeps the Q2 2020 collapse visible rather than averaging it away.
Inflation Shock and Rate Response
Using the same annual values shown in the Power BI dashboard for 2021 to 2024.
Key Insights
The main macro storylines surfaced by the dashboard.
Relationships
The Power BI comparison views recreated directly in the browser.
CPI Inflation vs Bank Rate (2018-2024)
A policy-response view showing how rates caught up after inflation had already accelerated.
Phillips Curve View
Inflation plotted against unemployment using the monthly macro series.
Why It Matters
A macro-focused project that complements the finance case studies.
Build Workflow
How the dashboard was prepared end to end.
Downloaded official CSV files from the Office for National Statistics and the Bank of England.
Cleaned and reshaped the data in Python using pandas into Power BI-ready long and support tables.
Built a 3-page Power BI dashboard covering overview, crisis moments, and indicator relationships.
Exported a final dashboard package for GitHub and portfolio presentation.