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Exploring Singapore's Open Data to find Market Trends Using LLMs: Insights from Data.Gov.SG and a Case Study of Pandemic Impacts
We examine Singapore's job vacancy data from 2020‑2024 using Python, Colab, and various LLMs to reveal pandemic‑driven sector trends and assess policy implications.
Analyze the Job Vacancy dataset to explore job market changes from 2020 to 2024 using LLMs, Python and Colab. learn how you can use Colab to tinker with various LLM models and gen ai services like Google Gemini and other LLMs from huggingface.
Key Takeaways:
Pandemic Impact: The Covid-19 pandemic significantly affected job markets, with notable spikes in Community and Social Services and varied impacts across other sectors.
Data Insights: Combining job data with Covid trends highlights how different industries were influenced.
I used Python and Colab for this analysis and shared my findings in a Colab notebook. Dive in, explore, and see what insights you can uncover!
Let’s discuss how open data can drive valuable insights.
GitHub hosts a Colab-created Jupyter notebook analyzing job vacancy data.
Python analyzes Singapore job data via API, Colab, and Gemini.
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