Cars Report

Scatter Plot

This scatter plot visualizes the Iris Dataset, showing the relationship between petal length and sepal width for individual iris flowers. The React-based visualization uses D3 v5 scales and axes to map the quantitative values to SVG coordinates. Data loads asynchronously via `d3.csv`, with each flower represented as a circular mark. The chart includes clearly labeled axes with rotated y-axis text, formatted tick values using `d3.format`, and a custom tooltip system that displays the petal length when hovering over a point. Styling is applied through CSS classes for ticks, labels, and marks.

Ggujjapooja7@gmail.com

Iris Data Scatter Plot

This visualization shows the Iris dataset as a scatter plot, mapping petal length on the x-axis and sepal width on the y-axis. Each circle represents an individual iris flower, with a tooltip displaying the exact x-value on hover. The chart uses React state via `useState` and `useEffect` to load the CSV data through d3.csv, while d3.scaleLinear and d3.extent compute the scales. Axes are rendered as custom React components using SVG, with d3.format for tick labels and the Poppins font from Google Fonts.

Kkbrookshire420

Making a Scatter Plot

This scatter plot visualizes the Iris dataset, showing the relationship between sepal length and petal length. Each point represents a sample flower, colored by species using a d3.scaleOrdinal color scale. The visualization is built with React and D3.js v5, using SVG circles for marks and custom components for axes. Data is loaded from a remote CSV file. The plot includes axis labels, tick marks, and interactive tooltips on hover, all rendered within a responsive fullscreen layout using the d3.scaleLinear and extent functions.

IIsh Takkar

Scatter Plot

This scatter plot visualizes the Iris dataset, displaying petal length against sepal length for individual flowers. The visualization uses React with D3 scales (`scaleLinear`, `extent`) to map data values to SVG coordinates, with custom axis components generating tick marks and labels. The D3 CSV loader fetches the data from a remote gist, while circles with 0.6 opacity represent each observation. The chart includes labeled axes and applies `nice()` to domain padding for cleaner tick intervals.

AAnkit5ingh

Scatter Plot - Iris

This scatter plot visualizes the Iris dataset, mapping petal length against sepal width for individual flowers. The code uses React with D3 v5 utilities, including `scaleLinear`, `extent`, `csv` for data loading, and `format` for axis tick labels. Rendered as an SVG, it includes custom AxisBottom and AxisLeft components that generate ticks and gridlines, while Marks component draws circles with native tooltips via the `<title>` element. Data is fetched from a remote CSV file and parsed into numeric values during loading.

SSai Phaltankar

Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and sepal width on the y-axis for each flower specimen. Rendered as SVG circles with fixed radius, the chart uses D3’s `scaleLinear` functions for both axes, with axis ticks generated by custom React components. The code leverages React hooks (`useState`, `useEffect`, `useCallback`) to asynchronously load the CSV data via D3’s `csv` method, parsing numeric fields before display. Axis labels and tick formatting are applied through D3’s `format` utility, with tooltips provided by SVG `<title>` elements.

NNikithakatta30

TTaweewat Somboonpanyakul

Iris Data Set

This example visualizes the Iris flower dataset as a scatter plot, showing the relationship between petal length and sepal width for individual samples. Using React with d3.scaleLinear for both axes and d3.extent for domains, the plot renders SVG circles with native tooltips via <title> elements. The code loads CSV data through d3.csv, formats tick labels with d3.format, and includes custom axis components. A loading state displays "Loading..." text while the data fetch is in progress.

A Scatter plot

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis against sepal length on the y-axis. Each point represents an individual flower, with a tooltip displaying the exact petal length value. The visualization uses React to render SVG elements, with d3.scaleLinear for both axes and d3.extent to set the domains. Axes are generated with custom tick components, and the chart includes labeled axis titles with rotated y-axis text. The data is loaded asynchronously from a CSV file using d3.csv.

JJonas Carvalho