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kenya data visualization

✓ Published0🌍 Public
RRonald Yagan
Last edited Mar 9, 2021
Created on Mar 9, 2021

This visualization displays food price trends in Kenya using a circular scatter plot, where each point represents a product’s retail price in USD per 1000 units over time, colored by product type and sized by weight. The interactive chart is built with the Vega-Lite API, registered through D3.js, and renders as SVG with tooltips. Data comes from the UCI Machine Learning Repository via a CSV fetched with `d3.csv` in the `getData.js` module. The layout uses a time axis for the year and a quantitative scale for prices, with customizable axis and label styling from `config.js`.

AI-generated description

A visualization constructed using the vega-lite-api.

The data shown here comes from the UCI Machine Learning Repository: Auto MPG Data Set, via Gist: Scatter Plot with Menus.

MIT Licensed

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