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3 datasets 01

✓ Published0🌍 Public
JJingxuan Yang
Last edited Jan 24, 2024
Created on Jan 23, 2024

This visualization uses Observable Plot to show the first row of the kc_house_data CSV, parsed into numeric types. It displays the raw JSON structure of the dataset, revealing the meaning of columns like `waterfront` (a boolean indicating whether a house is on a waterfront) and `view` (a rating from 0 to 4 representing quality of view). The example loads data from a CSV file and renders it as formatted text, illustrating how the dataset is structured. It does not depict any relationships or characteristics of expensive houses beyond the initial data inspection.

AI-generated description

The kc_house_data, loaded and parsed as CSV.

My question about this dataset: What do the waterfront and view columns in this data set mean?

Tasks I want to do: Find the characteristics of expensive houses.

Challenge

  • Find 3 datasets on a topic you are interested in
  • For each of those, fork this viz and replace the data
  • Parse the quantitative attributes into numbers
  • Update README.md to indicate the original data source
MIT Licensed

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