Skip to main content
SimilarExport ZIP
100%

Fork of HAW test 5.12

✓ Published0🌍 Public
MMatthias Stahl
Last edited Dec 5, 2025
Created on Dec 5, 2025
Forked from HAW test 5.12

This interactive scatterplot displays five data points from a CSV file, connected by a line to reveal a downward trend. Clicking a square point highlights it with a white fill and bold black stroke. Built with React and D3 v7, the visualization uses `scaleLinear` for axes, a D3 line generator for the path, and `ResizeObserver` to make the SVG responsive. The `selectAll('rect').join('rect')` pattern renders the clickable points with custom colors.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of CV: Loading CSV Data

This example demonstrates an interactive scatter plot of five data points loaded from a CSV file, rendered as circles scaled to the container size. Clicking a circle selects it, turning its fill from black to white with a black stroke. The code uses React with hooks for state management and container dimensions, while D3 v7 handles CSV parsing via `d3.csv` and SVG rendering through `select`, `join`, and `scaleLinear` for positional mapping.

DDurga Prasad MEDISETTI
83% match
Loading thumbnail…

Fork of Fork of Fork of Fork of HTML Starter

This example shows a scatterplot of points from a CSV file, rendered as rotated hexagonal polygons with a radial gradient effect. The visualization maps x and y values from the data to linear scales, while a dropdown menu toggles the fill color between white and a data-driven color attribute. Using React with D3 v7, polygons are drawn as SVG elements with configurable rotation, scale, stroke color, and width. The code uses d3.scaleLinear, d3.scaleOrdinal, and d3.extent to handle scaling, with tooltips showing formatted values via d3.format.

Ssahildesignzz@gmail.com
83% match
Loading thumbnail…

Fork of Fork of Fork of Fork of HTML Starter

This example shows a scatterplot of points from a CSV file, rendered as rotated hexagonal polygons with a radial gradient effect. The visualization maps x and y values from the data to linear scales, while a dropdown menu toggles the fill color between white and a data-driven color attribute. Using React with D3 v7, polygons are drawn as SVG elements with configurable rotation, scale, stroke color, and width. The code uses d3.scaleLinear, d3.scaleOrdinal, and d3.extent to handle scaling, with tooltips showing formatted values via d3.format.

Ssahildesignzz@gmail.com
83% match
Loading thumbnail…

Fork of CV: Loading CSV Data

This example demonstrates an interactive scatter plot of five data points loaded from a CSV file, rendered as circles scaled to the container size. Clicking a circle selects it, turning its fill from black to white with a black stroke. The code uses React with hooks for state management and container dimensions, while D3 v7 handles CSV parsing via `d3.csv` and SVG rendering through `select`, `join`, and `scaleLinear` for positional mapping.

DDurga Prasad MEDISETTI
83% match
Loading thumbnail…

Fork of Fork of Fork of Fork of HTML Starter

This visualization displays a scatterplot of point data from a CSV file, where each point is rendered as a rotated, scaled hexagonal polygon. The viewer can toggle between white and colored fills using a dropdown menu, while polygons feature a dark stroke outline for clarity. Built with React and D3 v7, the code uses `d3.scaleLinear`, `d3.scaleOrdinal`, and `d3.extent` to map coordinates and colors. The SVG rendering applies polygon transformations with `translate`, `scale`, and `rotate` to create a geometric pattern, with tooltips showing formatted x and y values.

Ssahildesignzz@gmail.com
83% match
Loading thumbnail…

Fork of Fork of Fork of HTML Starter

A scatter plot of CSV data renders each point as a hexagonal polygon, rotated and scaled, with fill color mapped from a selected categorical attribute. Users toggle between white and color via a dropdown. The React app uses `d3.scaleLinear`, `d3.scaleOrdinal`, `d3.extent`, and `d3.format`, with D3 v7, drawing SVG polygons with tooltips.

Pppal41366@gmail.com
82% match
Loading thumbnail…

HAW test 5.12

Five circles, positioned proportionally from a CSV file, are plotted on a responsive SVG canvas. Clicking a circle changes its fill to white with a black stroke while others remain solid black. Built with React and d3.v7, the visualization uses `scaleLinear` to map x and y coordinates from data space to the container's pixel dimensions, dynamically resizing via a `ResizeObserver`. The `join` API efficiently updates circle attributes and click handlers.

Wwdn616@haw-hamburg.de
82% match
Loading thumbnail…

Fork of Scatter Plot(test_data)

This fork of a scatter plot displays how a data point’s value changes over time, with a black line connecting sequential points overlaid on teal circles. It uses React to render an SVG, with axes and marks built from custom components. The code leverages d3.scaleLinear for scaling, d3.extent for domains, d3.format for tick labels, and d3.csv to load data from a remote testData.csv. The chart includes axis labels for “Time” and “Value,” and each circle shows a tooltip on hover.

NNYY
80% match