Skip to main content
SimilarExport ZIP
100%

Scatter Plot with D3.js!

✓ Published1🌍 Public
Fforcox43
Last edited Jul 12, 2020
Created on Jul 12, 2020

This scatter plot displays the population of the top ten most populous countries in 2018, with each circle positioned along a point scale for country names and a linear scale for population values. The visualization uses D3.js v5 within a React framework, rendering SVG elements via `select`, `scaleLinear`, `scalePoint`, and `axisBottom`/`axisLeft` to create labeled axes with custom tick formatting (converting billions to B). Data comes from the United Nations World Population Prospects 2017, loaded from a CSV with `d3.csv`, and the chart includes gridlines and axis titles styled through CSS.

AI-generated description

This bar chart shows population of the top 10 most populous countries., The data is from the year 2018 estimate in United Nations: World Population Prospects 2017.

A bare minimum HTML page.

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries, with circles positioned along a linear x-axis for population and a point scale y-axis for country names. The visualization uses D3 v5 APIs including `scaleLinear`, `scalePoint`, `axisBottom`, and `axisLeft` within an SVG rendered in React. Population values are loaded from a CSV file and formatted in billions, with gridlines extending across the plot. The chart includes a title and axis label, styled via CSS.

AAndy Zhang
93% match
Loading thumbnail…

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries, with countries on the y-axis and population on the x-axis, using circles to represent each data point. The visualization is rendered as an SVG within a React framework, leveraging D3 v6's `scaleLinear`, `scalePoint`, `axisBottom`, and `axisLeft` APIs to construct the axes and plot. Data is loaded from a CSV file, with population values multiplied by 1000, and the chart includes grid lines, labels, and a title, all styled via CSS.

Bbrett@cloudaccelerator.co
92% match
Loading thumbnail…

Scatter Plot

This example displays the top 10 most populous countries as a scatter plot, with each circle representing a country and its size encoded by population. The visualization uses React and D3 v5, with `scaleBand` for the y-axis, `scaleLinear` for the x-axis, and SVG circles rendered from the United Nations World Population Prospects 2019 dataset. Axis labels and tick formatting are handled by custom components, while tooltips via `<title>` elements show population values in billions.

JJacob Potvin
92% match
Loading thumbnail…

Scatter Plot

This scatter plot visualizes the populations of the top 10 most populous countries using a horizontal bar chart layout. The React application loads data from the United Nations World Population Prospects 2019 dataset via `d3.csv`, then renders SVG elements including axes and marks. The `AxisBottom` and `AxisLeft` components generate ticks with scales, while `Marks` creates rectangles whose widths are proportional to population values using `xScale` and `yScale`. Tooltips display population values through SVG `<title>` elements. The visualization uses d3.v5 and React to create a clean, readable chart.

DDHasanC
92% match
Loading thumbnail…

scatter plot

This scatter plot displays the population of the top 10 most populous countries, with each country positioned along a point scale on the y-axis and population mapped to a linear scale on the x-axis. Circles encode the data values, and axes include tick marks and formatted labels. The visualization uses D3 v5 APIs including `csv`, `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom` within a React project, rendering to SVG with margins and a title. Population data is loaded from a CSV file and multiplied by 1000.

Ssingularity6033
92% match
Loading thumbnail…

scatter plot

This scatter plot visualizes the top 10 most populous countries in 2020, using horizontal bars to represent population sizes. The chart is built with React and D3 v5, using `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis, with SVG rendering for the marks and axes. Data comes from the UN World Population Prospects 2019, loaded via D3’s `csv` function and formatted with `format('.2s')` to display population in billions. Hovering over a bar reveals a tooltip with the precise value.

AAndrew Babilonia
92% match
Loading thumbnail…

ScatterPlot2

This scatterplot displays the populations of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. It uses D3 v5 to render circles on an SVG canvas, with a linear scale for population and a point scale for country names. The code employs `d3.csv` to load the data, `scaleLinear` and `scalePoint` for positioning, and `axisBottom` and `axisLeft` for customized axes with tick marks and labels.

Llerik03
92% match
Loading thumbnail…

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries, with countries on the y-axis and population on the x-axis using circular markers. The code uses D3 v5’s `csv` to load data, `scaleLinear` and `scalePoint` for positioning, and `axisBottom` with a custom tick formatter to abbreviate numbers. SVG rendering occurs within a React starter template, with axes drawn using `axisLeft` and gridlines via tick sizes.

Ggilbster
92% match