Fork of Scatter Plot

Fork of Stylized Scatter Plot

This scatter plot visualizes the relationship between sepal width and sepal length for the Iris dataset, with each circle representing a flower sample. The visualization uses React for component structure and d3.scaleLinear for both axes, while d3.csv loads the data from a GitHub-hosted CSV file. SVG renders the marks and axes, with custom React components for axis rendering and tooltips providing hover information via SVG title elements.

Bbsolomon103

Scatter Plot

This scatter plot displays the relationship between sepal length and sepal width from the Iris dataset. The visualization uses React to render SVG elements, with D3 utilities for data loading, scaling, and axis generation. The code employs `d3.csv` to fetch and parse the Iris data, `d3.scaleLinear` to map values to pixel coordinates, and custom React components for rendering axes and circular marks with hover tooltips. The plot features a clean design with gray tick marks, labeled axes, and teal-colored data points.

CCatalina Vajiac

Fork of Iris Scatter Plot

This scatter plot visualizes the sepal length and width of Iris flowers from a CSV dataset. The visualization uses D3.js scaleLinear functions to map data to SVG coordinates within a React application. Axis components render tick marks and labels, while circular marks represent individual data points with tooltips. The code styles elements using CSS, including custom fonts and a teal color for the marks, and implements responsive loading with a "Loading..." indicator.

SSam Hege

Fork of Scatter Plot-iris data

This scatter plot visualizes the Iris dataset, mapping sepal length to the x-axis and sepal width to the y-axis. Each flower is rendered as a large blue circle using SVG within a React framework, with the plot area offset by margins via a group transform. The code loads data from a remote CSV file using D3’s `csv` function, converts values to numbers, and scales positions with `scaleLinear` and `extent`. The chart fills the browser window, as the body has no margin and hidden overflow.

NNita

Scatter Plot

This scatter plot visualizes the Iris dataset, showing the relationship between sepal length and sepal width. Each flower is rendered as a circle positioned by the `xScale` and `yScale` linear scales. The visualization uses React components to structure the SVG output, with separate modules for axes and data marks. The bottom axis uses a tick format that abbreviates large numbers, while the source data is loaded asynchronously from a CSV file using D3's `csv` function.

KKolezhannochka

Scatter Plot

This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis against sepal width on the y-axis for individual flower specimens. The visualization uses React with d3.scaleLinear scales and SVG rendering, with axes generated by custom React components. Data is loaded asynchronously from a CSV file using d3.csv, with string values parsed into numbers. The plot includes formatted tick labels, axis titles, and tooltips on each circle via SVG title elements, all styled with Poppins font and subtle gray colors.

Iiblub

ScatterPlot

This scatterplot shows the relationship between sepal length and sepal width for the Iris flower dataset, loading CSV data via `d3.csv`. The React component renders an SVG with `d3.scaleLinear` for both axes, using `extent` to set domains. Axes are drawn as reusable components with `scale.ticks()` for tick generation, and each data point appears as a circle with a native SVG `<title>` tooltip. The chart uses the Poppins font and a minimal blue-and-gray color scheme.

MMarat

Scatter Plot

A scatter plot visualizes the relationship between sepal length and sepal width in the Iris dataset. Each circle represents a flower sample, with a tooltip revealing its exact sepal length. Built with React and D3 v5, the visualization uses `scaleLinear` for both axes, `extent` for domain calculation, and SVG for rendering. The code handles CSV data loading through a custom `useData` hook, with axis components and marks created via React components.

Ccynichole