Performance dashboard

I created this performance dashboard using R and Flexdashboard to visualise key metrics and trends. The dashboard is actively used at my workplace, but this example relies on pseudonymised data and excludes any real or sensitive info. It demonstrates my skills in data wrangling, visualisation, and dashboard design, using libraries like tidyverse to present actionable insights in an interactive, responsive layout.

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Analysing train capacity data

Managing sensory overload on public transport has been a challenge for me. To find the least crowded times to travel, I analysed Southeastern train capacity data. This project helped me identify optimal commute days and times, leading to a more comfortable work experience. My work on this project also provided valuable practice in data scraping for analysis, and served as an introduction to Kaggle notebooks.

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Tidy tuesday

To grow my data analysis skills, my mentor recommended Tidy Tuesday — a community-driven project where participants analyse weekly datasets using R's tidyverse package. For each data set I will be creating visualisations with an aim to share these with the community. I'm hoping not just to improve my data wrangling skills but also my connections in the R community and elsewhere online.

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Noise pollution in Medway

As someone seeking to purchase a home in the area, low noise levels are crucial to me for a peaceful living environment. I submitted a Freedom of Information request to the council to obtain data on noise complaints in the area. By analysing this data, I've uncovered insights into noise patterns, complaint types, and hotspots. This ongoing project is helping me explore mapping techniques for visualising location-based data.

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Creating my website

I created this website to showcase my skills and personal projects. While my previous sites were for practical purposes, this project allowed me to focus on design and creativity. I enhanced my CSS skills through custom layouts and styling, and used JavaScript to add interactivity. I used Django for the backend to manage dynamic content and set up a database to store project details, which are pulled for the site. This project strengthened both my frontend and backend development skills.