https://github.com/gangula-karthik/visual-analytics-project

Crunched the numbers to answer the burning question: Is the Lion City the ultimate place for fresh grads? 🦁 📈
https://github.com/gangula-karthik/visual-analytics-project

data-analytics powerbi singapore

Last synced: 1 day ago
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Crunched the numbers to answer the burning question: Is the Lion City the ultimate place for fresh grads? 🦁 📈

• Host: GitHub
• URL: https://github.com/gangula-karthik/visual-analytics-project
• Owner: gangula-karthik
• Created: 2023-02-01T16:00:15.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-07-28T03:54:36.000Z (5 months ago)
• Last Synced: 2024-11-05T11:37:22.518Z (about 2 months ago)
• Topics: data-analytics, powerbi, singapore
• Language: Jupyter Notebook
• Homepage:
• Size: 49 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 📊 Visual Analytics Project using Power BI



  



Welcome to the Visual Analytics Project repository! This project, developed as part of a school assignment, leverages Power BI to provide insightful visualizations and analyses on various datasets related to housing, transportation, and public amenities in Singapore.

## 🎯 Aim

The aim of our study is to evaluate Singapore as a favorable location for recent university graduates aged 21 to 34, with limited work experience. This demographic is crucial as they represent the upcoming generation of professionals entering the workforce and can provide valuable insights into the job market, career prospects, and overall quality of life in Singapore.

## 🛠️ Methodology

We adopted a structured approach by breaking down the complex problem into smaller, manageable factors - Economic Environment, Housing, Transportation, and Education. This methodology enabled us to deeply analyze and comprehend the impact of each factor on the overall state of Singapore and the implications for our target audience. Through these insights, we identified the strengths, weaknesses, and opportunities within each area.

## 📊 Data-Driven Approach

Utilizing a data-driven approach, our team produced visualizations for each factor to provide a holistic view of Singapore as a location for recent university graduates with limited work experience. This comprehensive evaluation has helped us gain a better understanding of the opportunities and challenges available in Singapore.

## 🔍 Key Findings

From our analysis, it is evident that Singapore has commendable transportation and education systems that are affordable and easily accessible to many individuals. However, the housing and economic environment could be further improved, as not everyone is financially stable enough to protect themselves against rising prices in these areas, particularly recent college graduates who are starting their careers. Nonetheless, we acknowledge that the government is taking proactive measures by providing more grants and subsidies to its citizens.

## 👥 Contributors

- Karthik - Worked on Housing

- Darren - Worked on Public Amenities

- Gabriel - Worked on Transportation

- Victor - Worked on Education