Explore at https://jobswithgpt.com/blog/jobs-density-visualization/ Technical details:

  1. 100K jobs sample of various US companies public and private of all sizes.
  2. Automatic categorization using k-means into about 300 categories – embeddings computed over keywords extracted from job-postings using GPT. We pick up a category name by inspecting few samples in the automatic categorization. Todo: some categories are too-close to each other and can be merged.
  3. D3 visualization using observable plot. Todo: adding a way to select – brush a region.
  4. I find it interesting to see the "lights" switch from SF to NY region when I search for software vs finance etc.
  5. Hope it provides some new insights. Any feedback welcome!

Posted by jobswithgptcom

2 comments

  1. Source: Public job listing data

    Tools: GPT models, text and embedding + d3.

  2. Looks cool, but TBH its not great seeing markers in the middle of the ocean when there aren’t any islands with substantial populations there.

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