Scatter plot with customize axes

Scatter plot with customize axes

This scatter plot displays the population of the ten most populous countries, with each country positioned along a categorical y-axis and its population scaled linearly on the x-axis. The chart customizes its axes by removing domain lines, adding gridlines through tick sizes, and formatting population labels with d3.format to abbreviate large numbers. Built with React and rendered as SVG, it uses d3.scalePoint for the y-axis, d3.scaleLinear for the x-axis, and d3.axisLeft and d3.axisBottom to generate the ticks. Data loads from a CSV file using d3.csv.

SS733-cmd

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

Scatter Plot

This D3 v5 scatter plot displays the top ten most populous countries, using a linear scale for population on the x-axis and a point scale for country names on the y-axis. Each circle represents a country, with a tooltip showing the exact population on hover. The chart reads data from a CSV file, formats axis ticks using the `format` function, and renders axes via `axisBottom` and `axisLeft`. Circles are appended as SVG elements within a React-based visualization.

Eezzep66

scatterplot

This visualization displays the top 10 most populous countries using a scatterplot with population on the x-axis and country names on the y-axis, rendered as circles in SVG. The code loads data from a CSV file using d3.csv, then applies d3.scaleLinear for the population axis and d3.scalePoint for the categorical country axis. It generates axes with d3.axisBottom and d3.axisLeft, formatting population values with d3.format to abbreviate large numbers. The chart is built with React and D3 v5, featuring a clear title and axis label.

SSchmittYannic

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

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

Scatter Plot

This visualization displays a scatter plot of the top 10 most populous countries, with population values on the x-axis and country names on the y-axis, using circles sized at a fixed radius. The data, sourced from a CSV file, is loaded via `d3.csv` and scaled using `scaleLinear` for the population axis and `scalePoint` for categorical positioning. Built with React and D3 v5, the SVG rendering uses `axisBottom`, `axisLeft`, and custom tick formatting to label values in abbreviated units. The code applies margins, axes, and a title, with circles colored blue and a steelblue rectangle style defined in CSS.

Llujinxuan-fang

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