Skip to main content
SimilarExport ZIP
100%

Fork of Scatter Plot

✓ Published0🌍 Public
MMajaha21
Last edited Apr 7, 2021
Created on Apr 7, 2021
Forked from Cars Scatter Plot

This visualization shows the ten most populous countries as a dot plot, with population on the x-axis and country names on the y-axis, using D3 v6’s `scaleLinear` and `scalePoint` to map data. It is rendered as SVG, loading population data from a CSV file, and employs `axisBottom` and `axisLeft` to draw gridlines and labels, styling text via CSS.

AI-generated description
MIT Licensed

Similar vizzes

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
92% match
Loading thumbnail…

Scatter plot

This scatter plot displays the ten most populous countries, with countries arranged on the vertical axis and population counts plotted horizontally. The visualization uses D3 v7 with SVG rendering, employing `scaleLinear` for the population axis, `scalePoint` for country ordering, and `axisBottom` and `axisLeft` for gridlines. Data is loaded from a CSV file and rendered as steel-blue circles, with population values formatted in abbreviated units using D3’s `format` function.

Ttgma99
92% 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
92% match
Loading thumbnail…

Scatterplot

A scatterplot displays the population of the ten most populous countries, with population on the x-axis and country names on the y-axis. The visualization uses a linear scale for population and a point scale for countries. The code loads data from a CSV file, parses population values, and renders circles using D3 v5's selection methods. It includes axis labels, a chart title, and gridlines generated with `axisBottom` and `axisLeft`, with an SVG rendering approach.

DDifan Gu
91% match
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
91% match
Loading thumbnail…

Scatter Plot

A scatter plot displays the population of the ten most populous countries, with each circle positioned along a linear scale for population and a point scale for country names. The visualization uses d3.csv to load the data, d3.scaleLinear and d3.scalePoint for scaling, and d3.axisBottom and d3.axisLeft for axes, with gridlines rendered via tick sizes. Circles are appended to an SVG container using D3's data join, and axis labels and a title are added as text elements.

BbeauMarko
91% match
Loading thumbnail…

Scatterplot

This scatterplot displays the populations of the ten most populous countries, with circles arranged along a y-axis ordered by country name and an x-axis scaled by population size. The visualization uses D3 v5’s `scaleLinear` for population values, `scalePoint` for country positions, and `axisLeft` with `axisBottom` to render axes. Data loads from a CSV via `csv`, and the SVG circles are appended with fixed radii, while tick labels use the `format` function to abbreviate large numbers.

Ccornshoots
91% match
Loading thumbnail…

Fork of Lets Make a Scatter Plot from Previous Bar chart Data

This scatter plot displays the top 10 most populous countries, with each country positioned along a point scale and its population represented on a linear scale. The visualization uses d3.csv to load population data from a CSV file, d3.scaleLinear and d3.scalePoint for axes, and d3.axisBottom and d3.axisLeft to render ticks. Circles are appended to an SVG container with a fixed radius of 18 pixels, and the x-axis tick labels are formatted using d3.format.

VVamsiYandapalli
91% match