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Vveagy
Last edited Oct 7, 2018
Created on Oct 7, 2018
Forked from Cars Scatter Plot

This scatterplot visualizes worldwide export values to the United States and China, with each circle colored by indicator type. The chart uses D3 v5 scales and axes, including `scaleLinear`, `scaleOrdinal`, `axisLeft`, and `axisBottom`, to position points and format tick labels with `format(".2s")`. Data is loaded from a CSV file via the `csv` function, and circles are rendered as SVG elements with a legend built using `color.domain()`. The y-axis and x-axis labels identify the two destination countries, while a title summarizes the comparison.

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A scatterplot compares export values to the United States versus China using a CSV dataset of worldwide exports from 2000–2016. Each circle’s color encodes an indicator description via d3.scaleOrdinal with schemeCategory10, with a legend and linear axes formatted using d3.format. The visualization is rendered as an SVG using d3.select, d3.scaleLinear, d3.extent, d3.axisLeft, and d3.axisBottom, with a title and labeled axes.

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This scatter plot visualizes annual export values from 2000 to 2016, comparing shipments to the United States against those to China, with each point representing a country-year observation. The chart uses D3 v5's `scaleLinear`, `axisLeft`, and `axisBottom` to construct axes with abbreviated number formatting, while circles are rendered via SVG. Data comes from a CSV file loaded with `d3.csv`, and the code explicitly converts six country columns to numeric values before plotting. Red, semi-transparent circles reveal overlapping data density, with labeled axes and a title indicating the export comparison.

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