Skip to main content
SimilarExport ZIP
100%

Scatter PLot

✓ Published1🌍 Public
JJoshuaBruens
Last edited Feb 17, 2020
Created on Feb 17, 2020
Forked from Custom Axes

This scatter plot visualizes the populations of the ten most populous countries using a linear scale for population and a point scale for country names. The visualization loads data from a CSV file and animates the appearance of circles over one second. Built with D3 v5 and React, it renders SVG elements, including axes with formatted tick labels and grid lines. The code uses `csv`, `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom` to construct the chart.

AI-generated description

React Starter code.

MIT Licensed

Similar vizzes

Loading thumbnail…

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries, using a linear scale for the x-axis and a point scale for the y-axis. It renders as SVG circles within a React framework, loading data from a CSV file. The visualization uses D3 v5 APIs including `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom`, with gridlines and custom tick formatting to abbreviate large numbers.

JJeffrey Miiller
94% 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
93% match
Loading thumbnail…

Scatter Plot

This scatter plot displays the populations of the top 10 most populous countries, with circles positioned along a linear x-axis for population values and a point scale y-axis for country names. The chart uses React with D3 v6, rendering SVG via `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom`. Data loads from a local CSV file, with populations multiplied by 1,000, and includes axis tick formatting using `format('.3s')` to abbreviate large numbers.

MModalMBS
93% match
Loading thumbnail…

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries, with each country positioned along the y-axis and its population scaled along the x-axis. The visualization uses React with D3 v5, employing `scaleLinear` for the x-axis, `scalePoint` for the categorical y-axis, and `axisBottom` with a custom tick formatter that abbreviates numbers. Data is loaded from a CSV file using `d3.csv`, and the points are rendered as SVG circles with a steelblue fill.

Ccathykan
93% match
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 countries, with each circle positioned along a linear x-axis for population and a point scale y-axis for country names. The visualization uses d3.csv to load data, d3.scaleLinear and d3.scalePoint for scales, and d3.axisLeft and d3.axisBottom with custom tick formatting to abbreviate large numbers. Circles are rendered as SVG elements with a fixed radius, and the chart includes gridlines generated by tick sizes, all within a React-based setup using d3.v5.

HHimanshu Chelani
93% match
Loading thumbnail…

Scatter plot

A scatter plot displays the population of the top 10 most populous countries, with each country positioned along the y-axis and its population along the x-axis. Using React and D3 v5, the visualization loads data from a CSV file and renders SVG circles. It employs `d3.scaleLinear` for the x-axis, `d3.scalePoint` for the y-axis, and `d3.axisLeft` and `d3.axisBottom` for axes, with the x-axis formatted using `d3.format`.

JJoseph Popoola
93% match
Loading thumbnail…

Scatterplot

This scatterplot displays the population of the ten most populous countries along a horizontal axis, with country names on the vertical axis. It uses d3.scaleLinear for the population scale and d3.scalePoint for categorical country placement, rendering SVG circles via d3.select and data joins. The code leverages d3.axisBottom and d3.axisLeft with tick sizing to create gridlines, and d3.format abbreviates population values. Data is loaded asynchronously from a CSV file using d3.csv, with strings parsed to numbers before rendering.

Ssherryyx
93% match