Stylized Scatter plot

Stylized Scatter Plot

This interactive scatter plot visualizes the Iris Dataset, allowing users to explore relationships between sepal and petal measurements across flower species. Two dropdown menus let viewers select which attributes map to the x and y axes, with the chart updating dynamically via React state management. The visualization uses d3.scaleLinear for axis scaling, d3.extent to compute domains, and d3.csv for data loading. React components render SVG circles as marks, with axes generated by custom AxisBottom and AxisLeft components that leverage d3's tick generation.

Rrstrauss127

Stylized Scatter Plot

A stylized scatter plot visualizes the Iris Dataset, plotting petal length against sepal width for individual flowers. The visualization uses React with D3 v5, employing `scaleLinear` for axes, `extent` for domains, and `format` for tick labels. Circular marks are rendered as SVG elements with tooltips, while custom Axis components draw grid lines and labels. The plot uses the Poppins font and a teal color scheme for a polished, modern appearance.

JJulianWgs

Stylized Scatter Plot

This interactive scatter plot visualizes the Iris Dataset, allowing users to explore relationships between sepal and petal measurements by selecting different attributes for the X and Y axes via dropdown menus. The visualization uses React with d3.scaleLinear for axes and d3.extent to compute domains, rendering circles as SVG marks with tooltips. Styling employs the Poppins font and custom tick colors, while data loading relies on d3.csv to parse the remote iris.csv file.

RRajat Dangat

Stylized Scatter Plot

This stylized scatter plot visualizes the Iris Dataset, comparing petal length against sepal width. Each flower is drawn as a circle, with hover tooltips revealing the precise x-axis value. The visualization uses React with D3 v5, leveraging `scaleLinear` for axes, `extent` for domain calculation, and `csv` for dataset loading. A clean, muted color palette and Poppins typography define the aesthetic, while custom `AxisBottom`, `AxisLeft`, and `Marks` components render the SVG output.

Mmuhammadshumas

Stylized Scatter Plot

This stylized scatter plot visualizes the Iris Dataset, showing petal length against sepal width for individual flower specimens. The visualization uses React with D3 v5 scales and SVG rendering, featuring custom AxisBottom and AxisLeft components that generate tick marks and labels. Circles representing data points include native SVG title tooltips, while the Poppins font and teal color scheme create a distinctive aesthetic. The code leverages d3.scaleLinear, d3.extent, d3.format, and d3.csv for data loading and scaling operations.

AAbhay Kumar

Stylized Scatter Plot

This stylized scatter plot visualizes the Iris dataset, plotting petal length against sepal width for individual flowers. The code uses React to structure the SVG rendering, with D3 v5 functions like `scaleLinear`, `extent`, and `format` for scales and tick formatting. Axes are built with the custom `AxisBottom` and `AxisLeft` components, while circular marks include a native `<title>` tooltip. The plot uses the Poppins font and D3’s `csv` loader to fetch data from a gist URL.

Ccacho2294

Stylized Scatter Plot

A stylized scatter plot visualizes the Iris Dataset by mapping petal length against sepal width, with each flower represented as a circular mark. The React-based implementation uses D3 v5’s scaleLinear for coordinate mapping and extent to set domains, while custom AxisBottom and AxisLeft components render ticks and labels. Data is loaded asynchronously via d3.csv, and the SVG output applies a Poppins font and teal coloring to the points.

Pporrasgp

Stylized Scatter Plot

This stylized scatter plot visualizes the Iris Dataset, mapping sepal length and width for individual flowers as circles. Built with React and D3 v5, the visualization renders as SVG, using D3's `scaleLinear` for axes and `extent` to compute domains. Custom `AxisBottom` and `AxisLeft` components generate tick marks, while `Marks` renders each data point with a tooltip showing the formatted x-value. The design employs a Poppins font, teal circles, and muted gray axis lines for a clean, modern aesthetic.

Rroc286