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3 datasets 02

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

This visualization displays house price data from the House Prices dataset, showing the first record in a JSON-formatted pre tag. It answers a question about distinguishing houses by state and city by parsing quantitative attributes into numbers. The code imports data from CSV using a native import statement, converts all numeric fields with the unary plus operator, and exports both the main container function and the parsed data. The main function uses template literals to render a single data object as readable JSON text with a 30-pixel font size.

AI-generated description

The housepricedata, loaded and parsed as CSV.

Question for the dataset: These houses are from different states and different cities, How to distinguish them in the data set?

Task I want to do: Analyze what parts of a house have the greatest impact on the price.

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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