Fork of D3 scatterplot

100%

Fork of D3 scatterplot

✓ Published0🌍 Public

Last edited Mar 28, 2024

Created on Mar 28, 2024

This fork of the D3 scatterplot visualizes the relationship between age and income for individual data points. The chart displays circular marks positioned along linear scales for both axes, with gridlines and labeled axis titles. The code uses D3’s `scaleLinear`, `max`, `axisBottom`, and `axisLeft` APIs to construct the scales and axes, while `select` and `append` manage the SVG elements. Data is bound through `selectAll('circle').data(...)`, with each circle’s position set via the `cx` and `cy` attributes. No external data source is shown, as the render function expects an array of objects containing `Age` and `Income` fields.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

A6 Scatterplot

This scatterplot visualizes the relationship between age and income, with each circle colored by gender using a categorical color scale. The chart uses D3.js v7 to load CSV data from a GitHub gist, scales the x-axis starting at age 15 and the y-axis from 5000 income, and renders SVG circles with axes labeled "Age" and "Income." A d3-legend color legend titled "Gender" identifies the categories, while the styling sets black axis lines and text. The rendering approach is SVG, with scales defined via `d3.scaleLinear` and `d3.scaleOrdinal`.

SShazil Taqi

81% match

Loading thumbnail…

Stylized Scatter Plot

This stylized scatter plot uses a responsive React component and D3 scales to map age against income from a CSV dataset. The visualization employs D3’s `scaleLinear` and `extent` functions to compute domains, with custom `AxisBottom` and `AxisLeft` components rendering SVG tick marks and labels. Each data point is an SVG circle with a `title` tooltip showing formatted values via D3’s `format`. The chart features rotated axis labels, a Poppins font, and a clean color palette, with styling applied through CSS classes.

SSamir Nandardhane

79% match

Loading thumbnail…

Fork of D3 scatterplot

This scatterplot displays the relationship between health and population from the Gapminder health-income dataset, with each point representing a country. The visualization uses D3 v7 to fetch CSV data, scale both axes linearly based on the data extent, and render points as SVG circles. Axes are added using `axisLeft` and `axisBottom` from D3's scale API, with data mapped through `scaleLinear` and the extent function. The chart fills the entire browser window, with custom margins and styled tick text.

AAnshul Rawat

78% match

Loading thumbnail…

Creating Scatter plot using D3.js

This example shows a scatter plot of age against salary, where each dot represents an individual data point from a CSV file. The code uses D3.js v6 to load and parse the data, then applies `d3.scaleLinear` to map the values. Axes are generated with `d3.axisBottom` and `d3.axisLeft` for the x- and y-axes, respectively, and circles are appended to an SVG container. The data comes from a remote CSV hosted on GitHub, and the plot is styled with a green fill and labeled axes.

Yyvarshachowdary@gmail.com

78% match

Loading thumbnail…

Fork of Responsive Scatter Plot

This example visualizes employee age against salary in a responsive scatter plot, using D3 v7’s `d3.csv` to load data from a remote CSV file and `d3.scaleLinear` to map the values. The chart draws SVG circles for each employee, with axes generated via `d3.axisBottom` and `d3.axisLeft`, and includes labeled axes for Age and Salary. The code also incorporates the `@curran/responsive-axes` library for flexible axis handling and a custom `viz` function, which applies margins, an inner rectangle background, and adjustable circle radius and opacity. The plot is rendered entirely in SVG, with a fixed initial size but structured to support responsive resizing.

Ssaideep1612@gmail.com

78% match

Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This animated scatter plot uses D3.js to visualize global population data, cycling through life expectancy, GDP per capita, population, and year on the x-axis every two seconds. The plot leverages `scaleLinear` for axes, animated circles with `attr`, and dynamic re-rendering via the `scatterPlot` component, which updates scales and axes through `svg.call()` as the x-value changes.

Ppavan vasamsetti

77% match

Loading thumbnail…

Tax Payers: Age vs Income

The chart plots tax payer income against age as a scatterplot, with each circle representing a data point. It shows an overall trend where annual income tends to increase with a taxpayer's age, though with many outliers. The visualization is built using the D3 v5 library, leveraging `scaleLinear` for axes, `axisBottom` and `axisLeft` for the coordinate grid, and SVG `circle` elements for the data points. Data is loaded from the `income_age.csv` file, and the design includes formatted ticks, labeled axes, and a clear title.

IIyke2909

76% match

Loading thumbnail…

reusable scatter plot

This example demonstrates a reusable scatter plot that visualizes the relationship between age and price, with points colored by gender. It automatically alternates between two subsets of the data every five seconds, using a timer to refresh the visualization. The implementation leverages D3 v6’s modular functions, including `scaleLinear`, `scaleOrdinal`, `extent`, and `axisLeft`/`axisBottom`, within a custom chart factory function. Data is loaded from a remote CSV file and parsed, while SVG rendering and animation are handled through D3’s selection and join methods, ensuring a clean, declarative approach to updating the plot.

Vvishnupriya eupuri

76% match