Scatter Plot with Menu

Scatter Plot with menus

A scatter plot of the Iris dataset with dropdown menus for selecting which measured attribute appears on the x- and y-axes. The visualization renders as an SVG using React components, with D3 providing the linear scales, axis generation, and CSV data loading. Users can switch among sepal length, sepal width, petal length, petal width, and species for each axis, which updates the scales, axis labels, and plotted circles. Tooltips show tick values on hover.

SSushan Prajapati

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, featuring dropdown menus that let viewers select which numerical attributes to display on the x and y axes. The visualization renders data points as SVG circles using React components, with axes generated from D3 scales (scaleLinear) and tick formatting via the format function. Users can compare any combination of sepal and petal measurements, with axis labels updating dynamically to reflect the current selection. The chart loads CSV data asynchronously using D3’s csv parser, and menu interactions update state through React’s useState hook.

Vvesnaj

A scatter plot of the Iris dataset, implemented in React with D3.js for scales and rendering to SVG, allows exploration of relationships between sepal and petal measurements. Two dropdown menus select the attributes mapped to the x and y axes, while species determines point color. Hovering over a species in the color legend highlights only its points by filtering the data, with non-hovered points dimmed. The code uses D3's `scaleLinear`, `scaleOrdinal`, and `extent` for scales and data ranges.

Uuplusv

Scatter Plot With menu

This interactive scatter plot visualizes the Iris dataset, allowing users to dynamically select which flower measurements (sepal length, sepal width, petal length, petal width, or species) appear on the x- and y-axes via React dropdown menus. The SVG visualization uses d3.scaleLinear for both axes, with d3.extent and d3.max for domain calculation, and renders circles with native tooltips. The React components (AxisBottom, AxisLeft, Marks, Dropdown) manage the state-driven re-rendering as users change axis selections, pulling data asynchronously via d3.csv.

Aadewole-top

Scatter Plot with Menu

This interactive scatter plot displays the Iris flower dataset, allowing users to explore relationships between sepal and petal measurements through two dropdown menus. Users select which attribute appears on each axis, and the SVG scatter plot updates the x and y scales accordingly. The visualization uses React hooks for state management, d3.scaleLinear for scaling, and d3.extent for domain calculations. Data is loaded asynchronously from a CSV file using d3.csv, with numeric values parsed on ingestion. The interface includes custom axis components with tick marks and axis labels.

SSam Hege

Polished Scatter Plot with Menu - React

This interactive scatter plot, built with React, visualizes the classic Iris dataset, allowing users to explore relationships between sepal and petal measurements. The visualization uses D3.js for data handling and scales (d3.csv, scaleLinear, scaleOrdinal), while React manages the interactive state. Two dropdown menus let viewers dynamically select which numerical attributes to plot on the x and y axes. The SVG rendering displays data points as colored circles, with species encoded by color and a tooltip showing the x-axis value. The code includes custom axis components (XAxis, YAxis) and a Marks component for rendering the scatter plot circles.

Ssmile2git

scatter plot with menus

This interactive scatter plot visualizes the Iris flower dataset, allowing users to explore relationships between four measurements (sepal length/width and petal length/width). Two dropdown menus, built with React's useState hook and a custom Dropdown component, dynamically select which attributes map to the x-axis and y-axis. The visualization uses d3.scaleLinear for scales and d3.extent for domain calculation, rendering SVG circles with native `<title>` tooltips. Axes are generated manually through d3 scale ticks, with data loaded asynchronously via d3.csv.

MMohammed Banani | MbDev

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, letting users select which of five attributes (sepal length/width, petal length/width, or species) to map to the x- and y-axes via React-controlled dropdown menus. The SVG chart uses `d3.scaleLinear` for both axes and renders circles for each data point, with hover highlighting and a native `<title>` tooltip. Built with React hooks (`useState`, `useEffect`) and D3 v6 utilities (`csv`, `extent`, `max`, `format`), it updates scales on user selections.

BbeauMarko