Scatter Plot w/ D3

Scatter Plot

This scatter plot displays the top 10 most populous countries in 2018, using circles positioned along a linear population scale and a point-based country axis. The visualization uses d3.csv, d3.scaleLinear, d3.scalePoint, d3.axisBottom, and d3.axisLeft to render the SVG chart. Population values are converted from thousands to raw numbers, and the x-axis labels are formatted with a custom function that replaces 'G' with 'B'. Data originates from the World Population Prospects 2017 estimate.

Ggoodej

Scatter Plot

This scatter plot displays the top 10 most populous countries using population data from the World Population Prospects, with each country positioned along a linear population scale and an ordinal point scale for country names. The visualization uses D3 v6’s `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom` to render SVG circles and gridlines, formatting population values in billions via `format('.3s')`. Data is loaded from a CSV file and multiplied by 1000, with axes and labels styled through external CSS.

Nndhokalelearning

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries, using the 2019 estimates from the World Population Prospects. It encodes country names on the y-axis and population values on the x-axis as circular points. The visualization uses D3 v5, specifically `d3.scaleLinear` and `d3.scalePoint` to map data to coordinates, with axes rendered via `d3.axisBottom` and `d3.axisLeft`. Data is loaded from a CSV file using `d3.csv` and rendered as an SVG.

GGeolffrey S Mena

Scatter Plot

This scatter plot visualizes the top 10 most populous countries using circles positioned along a point scale for country names and a linear scale for population values from the 2018 UN World Population Prospects estimate. The code uses D3 v5 APIs including `csv`, `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom` to render SVG elements, with tick formatting converting values to billions. Circle radii are fixed at 18 pixels, and gridlines extend across the plot area. The visualization features a title and axis labels, with data loaded from a local CSV file.

Ddtdenver

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. It uses D3 v5 with SVG rendering, employing `d3.scaleLinear` for the x-axis, `d3.scalePoint` for the categorical y-axis, and `d3.axisLeft` and `d3.axisBottom` for gridlines. The data is loaded from a CSV via `d3.csv`, with populations multiplied by 1000 from thousands to actual values.

Mmellerjakub88

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries using data from the 2017 World Population Prospects, with circles positioned on a linear x-axis and a point scale on the y-axis. The visualization loads data via d3.csv, applies a population multiplier, and renders an SVG using d3.scaleLinear, d3.scalePoint, d3.axisLeft, and d3.axisBottom. Gridlines extend across the chart, while tick labels use custom formatting to abbreviate large numbers.

DDaniel García

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear` for the population axis and `scalePoint` for country categories. D3 axes are customized with tick formatting that converts numbers to abbreviated units and grid lines extending across the chart. The code reads data from a CSV file and multiplies population values by 1,000 to reflect actual figures.

SSimon Pettersson

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries using data from the World Population Prospects 2017 estimate. Each circle’s horizontal position represents population on a linear scale, while vertical positioning uses a point scale for country names. The visualization is rendered with SVG via d3.v5, using `scaleLinear`, `scalePoint`, `axisLeft`, `axisBottom`, and `format` for tick labels. Gridlines and axis labels are styled with CSS, and the data is loaded from a CSV file.

IIan Perry