Skip to main content
SimilarExport ZIP
100%

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

✓ Published1🌍 Public
VVamsiYandapalli
Last edited Dec 3, 2021
Created on Dec 3, 2021

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.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Lets Make a Scatter Plot from Previous Bar chart Data

A scatter-style visualization of the top ten most populous countries displays horizontal bars, with each bar’s length proportional to population. The chart uses D3 v7’s `scaleLinear` for the x-axis and `scaleBand` for the y-axis, rendering as SVG via `d3.select`. Data is loaded from a CSV file with `d3.csv`, and the x-axis labels are formatted using `d3.format`. The title, axes, and tick marks are styled through the provided CSS file. Population values are multiplied by 1000 before rendering.

VVamsiYandapalli
93% match
Loading thumbnail…

Scatter Plot

This scatter plot displays the top 10 most populous countries, using circles positioned along a linear population scale and a point-based country axis. The visualization encodes each nation’s population with a circle’s horizontal placement, while vertical positioning separates countries for readability. The code leverages d3.csv for data loading, d3.scaleLinear and d3.scalePoint for scaling, and d3.axisLeft and d3.axisBottom to render labeled axes. Population values from the data file are multiplied by 1,000 and formatted with d3.format, with the SVG output styled using CSS.

Iisaachowen
92% match
Loading thumbnail…

Scatter plot

This scatter plot displays the population of the top 10 most populous countries, with each circle positioned along a linear population scale on the x-axis and a point scale for country names on the y-axis. The visualization uses d3.csv to load data from a CSV file, d3.scaleLinear and d3.scalePoint for scaling, and d3.axisLeft and d3.axisBottom to render axes with grid lines. The SVG rendering applies a custom tick format to abbreviate large numbers, converting billions to "B".

JJason-Manbodh
92% match
Loading thumbnail…

Scatter Plot

This scatter plot shows the population of the top 10 most populous countries, with each circle positioned along a linear population scale and a point scale for country names. The visualization uses d3.csv to load data, d3.scaleLinear and d3.scalePoint for axes, and d3.axisLeft and d3.axisBottom with customized tick formatting that abbreviates billions as "B." Circles are rendered as SVG elements with a fixed radius, while grid lines and axis labels are styled via CSS.

Nnick-yadav
92% match
Loading thumbnail…

Scatter Plot

This scatter plot displays the top 10 most populous countries, mapping population on the x-axis and country names on the y-axis. It uses d3.csv to load the data, d3.scaleLinear for the x-axis, and d3.scalePoint for the categorical y-axis. The code renders SVG circles and axes using d3.axisLeft and d3.axisBottom, with a formatted tick label using d3.format.

DDhaval Potdar
92% 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-based y-axis 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, rendered as SVG circles with a steelblue fill. Grid lines are drawn via tick sizes, and the x-axis labels are formatted using d3.format.

Nntds12
92% match
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. The visualization renders circles with a fixed radius of 18 pixels, colored crimson, and includes axis labels and a title. The code uses d3.csv, scaleLinear, scalePoint, axisLeft, axisBottom, and format from the D3 v7 library, with data loaded from the CSV file and scaled by a factor of 1000.

CChangbeom Shim
92% match
Loading thumbnail…

Scatter Plot

This scatter plot displays the top 10 most populous countries, with population values plotted along the x-axis and country names along the y-axis. The chart uses d3.csv to load the country_data.csv file, then applies d3.scaleLinear and d3.scalePoint to map population and country names to screen coordinates. Axes are drawn using d3.axisLeft and d3.axisBottom, with tick formatting via d3.format to abbreviate large numbers. Circles representing each country are added to the SVG container, styled with a steelblue fill.

AAngus Hon
92% match