Fork of Stylized Scatter Plot

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 example visualizes the Iris Dataset, plotting petal length against sepal width as a stylized scatter plot. Built with React and D3 v5, it uses `d3.scaleLinear` for both axes and renders SVG circles for each data point. The code includes reusable axis and mark components, with tick formatting via `d3.format` and hover tooltips using SVG `<title>` elements. Data loads asynchronously from a CSV URL using `d3.csv`, and the visualization features custom axis labels and a clean, minimalist design with the Poppins font.

SSophia Chiao

Fork of Stylized Scatter Plot

This example shows a scatter plot of the Iris Dataset, mapping petal length against sepal width. Built with React and D3 v5, it renders SVG circles using `scaleLinear` scales, `extent`, and `csv` for data loading. The axes are composed from React components (`AxisBottom`, `AxisLeft`) with custom tick formatting via `format('.2s')`. Each circle includes a native SVG `<title>` tooltip showing the petal length value.

MMichael Bruno

Fork of Stylized Scatter Plot

This stylized scatter plot visualizes the Iris Dataset, mapping petal length on the x-axis against sepal width on the y-axis. Rendered as an SVG using React and D3 v5, the example loads data via `d3.csv` and uses `d3.scaleLinear` with `d3.extent` to compute scales. Custom Axis components generate tick marks and labels, while circular marks represent individual data points, each with a tooltip showing its x-value.

Cchar0496

Fork of Stylized Scatter Plot

This scatter plot visualizes the Iris Dataset, mapping petal length against sepal width with circular marks. Built with React and rendered as SVG, it uses d3.scaleLinear for both axes and d3.extent to set domains. The code implements custom AxisBottom and AxisLeft components that generate ticks via xScale.ticks(), while Marks component renders circles with tooltips. The chart includes axis labels and styling with the Poppins font, showcasing a straightforward React-D3 integration pattern.

AAchilleasTyrnenopoulos

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 Iris Dataset as a scatter plot, mapping petal length to the x-axis and sepal width to the y-axis. Each data point is rendered as a circle using React components that leverage D3’s `scaleLinear` and `extent` functions for scaling. The code defines custom `AxisBottom` and `AxisLeft` components to generate ticks and labels, while `Marks` renders the circles with inline SVG titles for tooltips. The data is loaded asynchronously via D3’s `csv` parser.

Aanindyamehta@gmail.com

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