Skip to main content
SimilarExport ZIP
100%

Scatter Plot

✓ Published1🌍 Public
Xxychen0612.cs09@nycu.edu.tw
Last edited Oct 20, 2023
Created on Sep 20, 2023
Forked from Customizing Axes

This scatter plot depicts the populations of the ten most populous countries, arranged alphabetically along the vertical axis. The visualization encodes population counts as horizontal positions on a linear scale, with each country represented by a fixed-size circle. The chart is rendered as SVG using D3 version 7.8.5, with scales created via `scaleLinear` for the x-axis and `scalePoint` for the categorical y-axis. Axis ticks and labels are generated with `axisBottom` and `axisLeft`, and the data is loaded from a CSV file using `csv`.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Scatter Plot

This scatter plot displays the populations of the ten most populous countries, with each circle positioned along a categorical y-axis and a linear x-axis. The visualization uses D3 v6 with SVG rendering, employing `scaleLinear` and `scalePoint` for scaling, along with `axisLeft` and `axisBottom` to generate axes. Population data is loaded from a CSV file and converted to absolute numbers, while custom tick formatting abbreviates large values. The chart includes a title and axis labels, with gridlines created via tick sizes.

WWayne716
95% match
Loading thumbnail…

Scatter Plot

This scatter plot displays the population of the ten most populous countries, with each country positioned along the vertical axis and its population on the horizontal axis. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear` for the x-axis, `scalePoint` for the y-axis, and `axisBottom` and `axisLeft` to generate the gridlines and ticks. Data is loaded from a CSV file, and population values are formatted with the `format` API to abbreviate large numbers. The circles are uniformly styled with steelblue fills.

GGino Dzin
95% match
Loading thumbnail…

Scatter Plot

This scatter plot displays the populations of the ten most populous countries, with each country positioned along the y-axis and its population on the x-axis. The visualization uses d3.csv to load the data, then applies d3.scaleLinear for the population axis and d3.scalePoint for the categorical country axis. D3’s axisBottom and axisLeft generate the gridlines and tick labels, with custom tick formatting converting values to abbreviated units. The chart renders as SVG circles styled with steelblue fill, and includes a title and axis label.

KKazushige Okuma
95% match
Loading thumbnail…

Scatter Plot

This scatter plot displays the population of the ten most populous countries, with each circle positioned along a horizontal linear scale for population and a vertical point scale for country names. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom` to construct the axes. Population values are parsed from a CSV file and formatted with tick labels using `format('.3s')`, while gridlines are drawn via tick sizes.

1123fischer
94% match
Loading thumbnail…

Scatter Plot

This scatter plot shows the population counts of the top 10 most populous countries, with each country positioned along a categorical y-axis and a linear x-axis scaled to population values. The visualization uses D3 v5 APIs including `scaleLinear`, `scalePoint`, `axisLeft`, `axisBottom`, and `format` to render the SVG output. Data is loaded from a CSV file and processed by multiplying the population figures, with circle marks and axis labels styled via CSS.

JJasonXQH
94% match
Loading thumbnail…

Scatter Plot

A scatter plot displays the population of the top ten most populous countries, with each circle positioned along a linear population axis and a point scale for country names. The visualization uses D3 v6 with SVG rendering, employing `scaleLinear`, `scalePoint`, `axisBottom`, and `axisLeft` to construct the chart. Data is loaded from a CSV file via `d3.csv`, with population values converted from thousands to absolute numbers. Grid lines extend through the plot area, and axis labels are formatted using `format('.3s')` to abbreviate large numbers.

GGordon Yang
94% match
Loading thumbnail…

Scatter plot

This scatter plot displays the population of the ten most populous countries, with each circle’s horizontal position and vertical alignment corresponding to population size and country name. The visualization uses D3 v5’s `scaleLinear` and `scalePoint` to map data, with `axisBottom` and `axisLeft` for axes. Population values are preprocessed by multiplying the CSV data by 1,000 before rendering in SVG. The chart includes a formatted x-axis and labeled title.

XX. N. Chu
94% match
Loading thumbnail…

Scatter Plot

This scatter plot displays the top ten most populous countries, mapping population counts along the x-axis against country names on the y-axis. The visualization uses a linear scale for population and a point scale for categorical country labels, with circles rendered in SVG. It loads data from a CSV file using `d3.csv`, converts population values to absolute numbers, and employs `d3.scaleLinear`, `d3.scalePoint`, `d3.axisBottom`, and `d3.axisLeft`. Custom tick formatting abbreviates large numbers, and gridlines extend across the chart.

Aaveryfairbanks
94% match