Skip to main content
SimilarExport ZIP
100%

Fork of Fork of Reusable D3 Scatter Plot

✓ Published0🌍 Public
Vvinodreddysagam929@gmail.com
Last edited Mar 27, 2024
Created on Mar 27, 2024

This visualization combines a scatter plot with line charts to explore university rankings, plotting countries on a shared x-axis band scale and metrics like research environment, quality, and industry impact on a y-axis from 0 to 100. It renders red circles for student-to-staff ratios alongside steelblue line paths per university, using the D3 v6 APIs `scaleBand`, `scaleLinear`, `line`, `axisBottom`, and `axisLeft`. The data comes from a CSV of University Ranks, fetched via `d3.csv` and parsed with custom numeric conversions. The reusable `scatterPlot` module demonstrates a configurable chart factory pattern with setters for width, height, and value accessors.

AI-generated description

A reusable scatter plot inspired by Towards Reusable Charts.

Shows the Iris Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This animated scatter plot visualizes university rankings across multiple countries, cycling through four metrics: Research Environment, Students to Staff Ratio, Research Quality, and Industry Impact. Built with D3 v3, the chart uses distinct SVG symbols (star, square, circle) to represent different data dimensions, with axes updating every two seconds as the metric changes. The visualization leverages a reusable chart pattern, where the scatter plot component is separated into its own module and accepts configurable setters for data binding and scales.

Vvinodreddysagam929@gmail.com
91% match
Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This example visualizes the relationship between student population and student-to-staff ratio in a scatter plot, with each circle representing a university. It loads CSV data from a GitHub URL, parses it, and maps the selected columns to x and y positions using D3’s `scaleLinear`. The chart uses `axisBottom` and `axisLeft` for axes, while circle colors come from `scaleOrdinal` (though the color mapping is static to species names not present in this dataset). The reusable `scatterPlot` function encapsulates the chart’s configuration, and SVG rendering is used throughout.

Ssagamreddy929@gmail.com
89% match
Loading thumbnail…

Fork of Reusable Canvas

A reusable scatter plot displays the relationship between two numeric variables from a CSV file, with steel-blue semi-transparent circles plotted against labeled axes. Built with D3 v6, the example demonstrates a modular architecture where the `scatterPlot` function encapsulates the chart logic, while `branding.js` handles data loading via `d3.csv` and passes parsed values to the plot. The SVG canvas resizes to 80% of the window width, and the plot is instantiated with configurable accessors for x and y values, margins, and point radius.

Ssrividyamadas@gmail.com
82% match
Loading thumbnail…

Fork of Reusable scatterplot

This example uses Chart.js to render a scatter plot of the official colors associated with various college sports teams. The x-axis positions each team in sequence, the y-axis shows the rank of each color within that team’s palette, and each point is filled with its corresponding hex value from the CSS Named Colors CSV data. The visualization reveals the color sequences and frequencies across different universities.

Cchamarthisreenivasvarma@gmail.com
82% match
Loading thumbnail…

Fork of Fork of Reusable D3 Scatter Plot

This example demonstrates an animated, reusable D3 scatter plot built with the reusable chart pattern. It visualizes country-level time series data, plotting each country's values for two different years on the x and y axes, with circles positioned using linear and band scales. The chart updates every two seconds by randomizing one country's data, triggering a re-render to illustrate dynamic data binding and transitions. Rendered as SVG with axes and circles, it emphasizes the modularity of D3's data-join and the flexibility of reusable chart components.

Mmukundakrishna.r@gmail.com
81% match
Loading thumbnail…

Scatter Plot

This scatter plot shows the Students to Staff Ratio for universities across different countries. It uses D3.js (version 7) with an SVG rendering approach to display each country as a red circle, positioned along a categorical x-axis for country names and a linear y-axis for the ratio values. The code loads data from a CSV file via a GitHub gist URL, and employs D3's `scaleBand` and `scaleLinear` functions to map the data coordinates, along with `d3.axisLeft` and `d3.axisBottom` to generate the axes.

Vvinodreddysagam929@gmail.com
81% match
Loading thumbnail…

Fork of Fork of Reusable D3 Scatter Plot

This scatter plot visualizes the Iris Dataset, displaying student marks against study time and number of courses, with circles animating through different column pairings every five seconds. The visualization is built using D3 v6, implementing a reusable chart pattern with `scaleLinear` for axes, `axisLeft` and `axisBottom` for ticks, and SVG circles for data points. Data is loaded from a remote CSV file via `d3.csv`, and updates are triggered by `setInterval` calling a custom scatter plot function that rejoins elements.

NNaimisha-M
81% match
Loading thumbnail…

Fork of Fork of Reusable D3 Scatter Plot

This animated scatter plot visualizes the Iris Dataset, plotting student marks, study time, and course count as x and y coordinates. Built with D3 v6, it uses `scaleLinear`, `axisLeft`, `axisBottom`, and SVG `circle` elements to render points. Every five seconds, the x-axis value switches between the three numeric columns, updating the chart via a `setInterval` loop. The reusable chart pattern from Bostock’s article is implemented, with dynamic scaling of axes based on the current data extent.

KKeerthipriyaBankuru
81% match