Fork of Stylized Scatter Plot

100%

Fork of Stylized Scatter Plot

✓ Published0🌍 Public

Last edited May 29, 2023

Created on May 29, 2023

A scatter plot of the Iris dataset displays petal length against sepal width, with each flower represented by a teal circle. The visualization uses React components and D3 scales to map the data, with axes generated by custom AxisBottom and AxisLeft components. The code loads data via d3.csv, applies linear scales with d3.scaleLinear, and formats tick labels using d3.format. Styling includes Poppins font and custom tick and mark colors, with a native SVG title element providing tooltips.

AI-generated description

A scatter plot of The Iris Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Stylized Scatter Plot

This scatter plot visualizes the Iris Dataset, plotting petal length against sepal width for individual flowers. The visualization uses D3.js scaleLinear functions to map data dimensions to SVG coordinates, with React components handling the rendering of axes and circular marks. Each data point appears as a teal circle with a tooltip showing its x-value, while the axes display formatted tick labels. The chart is styled with the Poppins font and a muted color palette defined in the accompanying stylesheet.

RRené Goretzka

97% match

Loading thumbnail…

Fork of Stylized Scatter Plot

A scatter plot of the Iris Dataset displays petal length versus sepal width for individual flowers. The visualization uses React components to structure the SVG rendering, with D3 scales and axes handling the coordinate system. D3’s `csv` loader fetches the data, while `scaleLinear` and `extent` compute the domain and range. Interactive tooltips appear on hover via SVG `<title>` elements within each circle. The chart features a clean design with custom Poppins typography, colored teal marks, and styled axis ticks, emphasizing readability.

CCatalin Diaconu

97% match

Loading thumbnail…

Fork of Stylized Scatter Plot

A scatter plot of the Iris Dataset shows petal length on the x-axis against sepal width on the y-axis, with each point representing a flower. The visualization uses React components to render SVG circles, axes, and labels, with scales and data loading handled by d3-scale and d3-fetch. Styling includes Poppins typography, teal marks, and tick formatting via d3-format. The example demonstrates a clean, modular React-D3 integration, loading data from a CSV and displaying it through reusable axis and mark components.

HHarsh kumar

97% match

Loading thumbnail…

Fork of Stylized Scatter Plot

This scatter plot visualizes the Iris Dataset, mapping petal length against sepal width with circular marks. The React-based implementation uses D3 v5 scales (`scaleLinear`) and extent calculations to position points, while custom AxisBottom and AxisLeft components render the tick marks. Styled axes and teal-colored circles follow the Poppins font, with hover tooltips displaying formatted petal length values. The code loads CSV data via `d3.csv` and renders the visualization as SVG.

LLyco Angelo Ty

97% match

Loading thumbnail…

Fork of Stylized Scatter Plot

A scatter plot visualizes the Iris dataset, showing petal length on the x-axis and sepal width on the y-axis for individual flower samples. The visualization uses React components to render the SVG elements, with d3.scaleLinear handling the axis scales and d3.extent computing the data domains. The code defines reusable AxisBottom, AxisLeft, and Marks components, applying Poppins typography and a teal color scheme with subtle grey grid lines. Each circle includes a native SVG title element for hover tooltips displaying the formatted x-axis value.

SSampras Dsouza

97% match

Loading thumbnail…

Fork of Stylized Scatter Plot

This visualization is a scatter plot of the Iris Dataset, displaying petal length on the x-axis against sepal width on the y-axis. The code uses React with hooks to manage the data-loading lifecycle and renders the chart as an SVG. It leverages d3.scaleLinear for both axes and d3.extent to set the domain, with d3.csv fetching the dataset. Axis components are custom React functions that generate tick marks and labels using d3 scale ticks. Each data point is drawn as a circle with a radius of 7, and includes a native SVG title element for tooltip information. The chart is styled with the Poppins font and a teal color for marks.

TTevin McQuilkin

97% match

Loading thumbnail…

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

96% match

Loading thumbnail…

Fork of Stylized Scatter Plot

A scatter plot of the Iris dataset displays petal length against sepal width, with each of the 150 flowers represented as a circular mark. The visualization is built with React and D3 v5, using `scaleLinear` for both axes and `extent` to compute domains from the loaded CSV data. Axis ticks are generated via `xScale.ticks()`, with labels formatted using D3's `format` utility. The SVG rendering applies a Poppins font and custom styling for ticks and marks, while hover tooltips expose exact petal length values through SVG `<title>` elements.

YYedrup

96% match