Scatter Plot

Scatter Plot

This scatter plot displays the Iris dataset, plotting sepal width against sepal length for individual flowers. The visualization is rendered as an SVG using React components, with D3.v7 utility functions like `d3.csv` to load data and `d3.scaleLinear` with `d3.extent` to map data values to pixel coordinates. The chart includes labeled axes with grid lines and translucent turquoise circles, each featuring a tooltip that reveals the exact measurements on hover.

Sszchee1

Scatter Plot

This scatter plot visualizes the Iris dataset, displaying sepal length on the x-axis and sepal width on the y-axis. Each circle represents a flower specimen, with hover tooltips revealing the exact sepal length value. The visualization uses React to render SVG elements, with D3.js functions like `scaleLinear`, `extent`, and `format` for scaling and tick formatting. The data is loaded asynchronously from a CSV file via D3's `csv` method, and custom components `AxisBottom`, `AxisLeft`, and `Marks` structure the chart.

OOm Kakatkar

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

Scatter Plot

This scatter plot visualizes the Iris Dataset, mapping sepal length and width for individual flowers. The visualization uses React with D3 v5 scales and SVG rendering, with axes created by custom components. Data loads asynchronously via `d3.csv` and converts string values to numbers. Circles represent data points, and hovering reveals tooltips through SVG title elements, while axis tick formatting utilizes `d3.format` for compact notation.

Rrstrauss127

Scatter Plot

This scatter plot visualizes the Iris flower dataset, mapping sepal length on the x-axis and sepal width on the y-axis. Each point represents an individual flower, with hover tooltips revealing exact measurements. The visualization uses React components to render SVG elements, while D3 v5 utilities handle data loading via `csv()` and scale construction with `scaleLinear` and `extent`. Custom axis components generate tick marks and labels, with formatting applied through D3's `format` function.

JJohn Jeevasaeyan

Scatter Plot

This scatter plot visualizes the Iris dataset, plotting sepal length against sepal width for individual flowers. The visualization uses React with D3 scales to map data values to screen coordinates, rendering SVG circles as marks with native tooltips. Axes are generated using D3’s scaleLinear and tick methods, with formatted axis labels. The data is loaded asynchronously via D3’s csv function from a GitHub gist containing the classic Fisher iris measurements.

33ssalunke

Scatter Plot - Iris flower

This interactive scatter plot visualizes the Iris flower dataset, showing the relationship between sepal length and sepal width. Each circle represents a sample, with hover tooltips revealing the exact sepal length value. The visualization uses React with D3's `scaleLinear` for axis scaling and `extent` to compute data domains. Axes and tick marks are generated using custom React components (`AxisBottom`, `AxisLeft`) that map D3 scale values to SVG elements. Data is loaded asynchronously from a CSV file via D3's `csv` function. The plot renders as an SVG with a clean, muted color palette and Poppins typography.

TTatyana Milanova

Scatter Plot

This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and sepal width on the y-axis. Each circle represents a flower sample, with axis labels and tick marks rendered using React components that call d3.scaleLinear, d3.extent, and d3.max. The SVG circles include a title element for tooltips, showing the sepal length value on hover. The code uses d3.csv for data loading and d3.format for axis tick formatting.

MMark Lam