Visualisation of official UK COVID-19 data
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Updated
Jun 23, 2020 - R
Visualisation of official UK COVID-19 data
A live map showing sewage discharges into watercourses in the United Kingdom.
Interactive dashboard analyzing UK bicycle accidents (1979–2018) using Google Looker Studio.
An analytical software suite and dynamic dashboard built with Python and `Reflex`. This system parses regional case data, executes algorithmic risk evaluations, and generates dynamic visualizations mapping missing person case patterns across the UK.
Public-sector data analysis of homelessness in England using population- and housing-stock–normalised indicators, spatial analysis, and policy-focused insights.
Analysis of 23 years of UK household spending using ONS government data. Built with Python, Pandas & Matplotlib. Covers cost of living, COVID-19 impact & long-term trends.
My analysis of over 927,000 UK house price transactions from the 2024 HM Land Registry data. Focused on cleaning the messy raw dataset and exploring trends with Pandas and Seaborn. Noticed a clear crab market pattern throughout the year.
Distributed Spark pipeline linking crime and deprivation across England at LSOA level, with MongoDB storage and an ML hotspot-classification model.
Python script for downloading historical data from RAC Foundation data portal.
Model that predicts 2019 UK parliamentary election results
Open-source, source-backed interactive charts on UK wealth inequality, built for accessible public exploration and sharing.
Power BI dashboard analysing UK energy efficiency and CO₂ emissions by property type, tenure, and region (2013–2023)
UK Cost of Living & Regional Inequality: a Power BI star-schema project built on real ONS, Land Registry and MHCLG public data
UK road accident data analysis and Power BI dashboard — trends, hotspots and severity patterns 2019-2022
An interactive financial analytics dashboard that uses SciPy and Flet to predict and visualize loan risk across the UK.
The goal of this project is to create a replica dashboard that shows UK casualty data sourced from the UK government website.
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