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Visual Analytics Project

This project aimed to use data visualisation and statistical modelling to assess whether Singapore is on track to achieve a zero‑waste future, as outlined in the Singapore Green Plan 2030.

Data Dashboard Display

The Brief

Target Audience

  • Government policymakers – to evaluate the effectiveness of waste management policies.

  • Members of the public – to understand how their recycling habits contribute.

  • Environmental advocates – to gain data‑driven insights for sustainability campaigns.

The Problem

Plastic waste is widely seen as a major environmental threat, but there was no clear data‑driven comparison of Singapore’s plastic waste trends against other waste types or a global benchmark. The problem was to visualise whether plastic recycling efforts are effective and whether Singapore’s plastic waste management aligns with a sustainable future.

Process

  1. User requirements – Helped design interview questions to understand public perception of plastic waste.

  2. Data preparation – Sourced local waste data from data.gov.sg and global plastic waste data from Kaggle; cleaned and transformed data in Power Query (transposing, unpivoting, splitting columns).

  3. Visualisation – Created line charts, pie charts, map visualisations, and tables with interactive slicers, tooltips, and navigation.

  4. Modelling – Applied linear regression to predict future recycling rates, waste generated, and waste disposed.

  5. Iteration – Refined visuals based on team feedback and integrated findings into the final report.

Tech Stack

Tools: Power BI (Data Modelling & Visualization), Google Forms (Collect survey data)

Project Gallery

Interactive Demo

Data Report Demo (Video).mp4
My Role

I was responsible for the plastic waste and environmental impact sub‑hypothesis:
“People see plastics as the most important waste type to recycle because of the harm they can cause if not managed properly.

The Solution

I built an interactive Power BI dashboard that:

  • Compares plastic waste metrics (generated, disposed, recycled) with other waste types over time.

  • Displays global coastal waste risk levels to benchmark Singapore against other countries.

  • Uses linear regression to forecast future plastic waste trends beyond 2023.

Results

  • Trends identified: A decline in plastic recycling rates correlates with rising waste generation and disposal, signalling a growing environmental concern.

  • Recycling Metrics Comparison: Plastic disposal ranks among the highest of all waste types, but its recycling rate is consistently near the bottom.

  • Global comparison: Singapore performs relatively well in coastal waste risk compared to neighbouring Southeast Asian countries, but plastic waste management still needs improvement.

  • Recommendations: Improve recycling bin accessibility, launch targeted awareness campaigns, and encourage reusable alternatives.

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