Skip to main content
SimilarExport ZIP
100%

Scatter Plot

✓ Published1🌍 Public
HHelenaShu
Last edited Aug 30, 2019
Created on Aug 30, 2019
Forked from Making a bar chart

This scatter plot displays country populations across Africa, using a point scale for countries on the y-axis and a linear scale for population on the x-axis. The code loads data from a CSV file using `d3.csv`, then renders circles with `d3.scaleLinear` and `d3.scalePoint`. Axes are drawn with `d3.axisLeft` and `d3.axisBottom`, including gridlines and custom labels, while the SVG output is styled via CSS.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Scatter Plot

This scatter plot displays population figures for African regions, with countries on the y-axis and population values on the x-axis. The chart uses d3.csv to load the data, d3.scaleLinear for the x-axis, d3.scalePoint for the y-axis, and d3.axisBottom and d3.axisLeft to render grid lines. Circles are appended to an SVG with a fixed radius of 20 and fill color from CSS. Axis labels and a title are added manually via appended text elements.

HHelenaShu
92% match
Loading thumbnail…

Scatter Plot of Country Populations from CSV file

This example displays a scatter plot of country populations from a CSV file, with each circle positioned along a point scale for countries and a linear scale for population values. The visualization includes labeled axes, grid lines, and a formatted x-axis that abbreviates large numbers. Using D3 v5, the code loads data with `d3.csv`, scales it with `d3.scaleLinear` and `d3.scalePoint`, and renders the chart as SVG elements including axes and circles.

Fframptonb
84% match
Loading thumbnail…

Scatter Plot of African Populations

This scatter plot shows the population of African countries in 2019, with each circle representing a country positioned along a linear population scale and a point scale for country names. Data comes from the United Nations World Population Prospects 2019, with values multiplied by 1,000. The visualization uses d3.csv to load data, d3.scaleLinear for the x-axis, d3.scalePoint for the y-axis, and d3.axisBottom and d3.axisLeft to render the axes, with tick labels formatted using d3.format.

Ggabcoderboi
83% match
Loading thumbnail…

Scatter Plot

This example shows the ten most populous countries, plotting each country’s population along a horizontal linear scale. Using d3.scaleLinear and d3.scalePoint, the SVG circles represent countries, with a formatted axis displaying population values. The code loads data from a CSV file using d3.csv, applies a d3.axisBottom and d3.axisLeft with tick lines, and styles the chart via external CSS.

Jjhofang
83% match
Loading thumbnail…

Scatter Plot

This scatter plot visualizes the populations of nine countries from a CSV file, with country names on the y-axis and population on the x-axis. Built with D3 v5, it loads the data via `d3.csv` and uses `scaleLinear` and `scalePoint` to map values to SVG coordinates. The chart includes axes from `axisLeft` and `axisBottom`, grid lines, and a title, while circles are rendered with a fixed radius of 18 pixels. The styling is applied through external CSS, and the visualization updates dynamically after parsing the data.

SSophia Murage
83% match
Loading thumbnail…

Scatterplot

A scatterplot displays population figures for countries exceeding 100 million inhabitants. The visualization uses a linear scale for population on the x-axis and a point scale for country names on the y-axis, with axis labels and gridlines. It loads data from a CSV file using d3.csv, scales the population values, and renders SVG circles. The code employs d3.scaleLinear, d3.scalePoint, d3.axisLeft, d3.axisBottom, and d3.format for tick labels.

CCarloGato
82% match
Loading thumbnail…

Scatter Plot

This scatter plot displays the populations of ten countries, with each circle positioned along a linear population scale and a point scale for country names. The visualization reads population data from a CSV file, converts the values from thousands to absolute numbers, and renders the chart as an SVG. Using D3 v7, the code applies `scaleLinear` and `scalePoint` for axes, `axisBottom` and `axisLeft` for ticks, and `csv` for data loading. The chart includes formatted tick labels, gridlines, and a title, with circles colored steelblue.

陳陳泰元
82% match
Loading thumbnail…

d3 Scatter Plot

This example visualizes the population of the ten most populous countries as a scatter plot. It uses D3 v5 to load a CSV file and scales, with `scaleLinear` mapping population to the x-axis and `scalePoint` mapping country names along the y-axis. Circles represent each country, with tick marks and labels styled via CSS. The SVG-based chart renders axes with `axisBottom` and `axisLeft`, and uses text elements to label the chart and its population axis.

JJohnPaulPagelerJr
82% match