Fork of Stylized Scatter Plot

Fork of Stylized Scatter Plot

This example visualizes the Iris Dataset, plotting petal length against sepal width as a scatter plot. Each flower is represented by an SVG circle with hover tooltips showing the exact x-axis value. The visualization is built using React for component structure, D3 v5 for data loading and linear scales, and SVG for rendering. The code includes custom AxisBottom, AxisLeft, and Marks components, with axis labels styled using the Poppins font and a clean teal color scheme for the data points.

GGuilinabaoge

Fork of Stylized Scatter Plot

This example visualizes the classic Iris Dataset, plotting petal length against sepal width as a stylized scatter plot. The implementation uses React to render the SVG elements, while D3.js provides the data loading, linear scaling, and axis tick generation through `scaleLinear` and `extent`. The `Marks` component draws each circle with a tooltip showing the formatted x-value, and the axes are constructed from reusable `AxisBottom` and `AxisLeft` components. The design features a Poppins typeface, muted gray and teal colors, and generous margins for axis labels.

RReymond Mesuga

Fork of Stylized Scatter Plot

This example visualizes the classic Iris dataset, plotting petal length against sepal width as colored circles, with each species distinguished by a distinct color from a `scaleOrdinal` range. The visualization is built with React and rendered as SVG, using D3’s `csv` loader and `scaleLinear` functions to process and scale the data. Axis components (`AxisBottom`, `AxisLeft`) render tick marks and labels, while the `Marks` component generates circles with native SVG `<title>` tooltips. The chart employs a clean, modern aesthetic with Poppins typography and muted axis colors.

DDanier

Fork of Stylized Scatter Plot

This visualization displays the classic Iris dataset, plotting petal length against sepal width using a stylized scatter plot. The code builds a React-based SVG visualization with axes generated by custom AxisBottom and AxisLeft components, while a Marks component renders the data points as circles with tooltips. D3.js v5 functions like scaleLinear and extent handle the quantitative scales, with csv loading data from a remote GitHub gist. The minimal design uses Poppins typography and specific teal coloring for the marks.

Llatifiss

Fork of Stylized Scatter Plot

This example visualizes the classic Iris dataset, plotting petal length against sepal width as a scatter plot. The visualization uses React components to render SVG elements, with d3.scaleLinear functions handling the x and y axes. The code loads data with d3.csv, applies axes using custom React components, and displays each flower as a circle with a tooltip showing its petal length. The styling uses the Poppins font and a teal color scheme.

SSamuel Baik

Fork of Stylized Scatter Plot

This interactive scatter plot visualizes the classic Iris dataset, plotting petal length against sepal width for individual flowers. Built with React and D3 v5, the visualization uses `scaleLinear` for both axes and renders SVG circles as marks, with tooltips showing exact values. The code imports data via `d3.csv` from a GitHub gist, while custom React components handle axis rendering and mark placement. A Poppins font and teal color scheme give the plot its stylized appearance, with loading state shown until data arrives.

Ppakoensi

Fork of Stylized Scatter Plot

This example visualizes the Iris Dataset as a stylized scatter plot, mapping petal length to the x-axis and sepal width to the y-axis. Built with React and D3 v5, it renders SVG circles with tooltips via nested `<title>` elements. The code uses `d3.csv` for data loading, `scaleLinear` for coordinate mapping, and custom React components (`AxisBottom`, `AxisLeft`, `Marks`) to generate axes and data points with Poppins typography and a teal color scheme.

SStudentCZ

Fork of Stylized Scatter Plot

This scatter plot visualizes the Iris dataset, plotting petal length against sepal width for individual flowers. Built with React and D3 v5, it uses SVG rendering with `scaleLinear` scales and `csv` data loading to map observations as circles. The visualization includes labeled axes with custom tick formatting, a native SVG `<title>` element for hover tooltips, and the Poppins font. The code demonstrates reusable AxisBottom, AxisLeft, and Marks components for modular chart construction.

GGustavo