Scatter Plot with Menus

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, allowing users to dynamically select which measurements (sepal length, sepal width, petal length, petal width, or species) appear on the x- and y-axes via two dropdown menus. The React application uses D3 v5 functions like `scaleLinear`, `extent`, and `csv` to fetch and scale the data, rendering SVG circles for each flower with hover tooltips. Axis components are built from D3 scales, and state management in React handles attribute changes, re-computing scales and re-rendering the marks accordingly.

NNikhil Reddy Manda

Scatter Plot with Menus

This interactive scatter plot displays the Iris dataset, plotted with D3 scales and rendered as SVG circles via React components. Two dropdown menus, built with React state, let users select which of the four flower measurements (sepal length/width, petal length/width) to map to the x- and y-axes, with axis labels updating accordingly. The visualization uses `d3.csv` for data loading, `d3.scaleLinear` for axes, and custom React components for axes and marks, with native SVG `<title>` elements for hover tooltips.

LLisa Wagner

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing the user to select which flower measurements (sepal length, sepal width, petal length, petal width, or species) appear on the x- and y-axes via dropdown menus. The visualization is built with React and D3 v5, using D3’s `scaleLinear` for axis scaling and the `csv` function to load data. SVG circles represent each iris, with axis ticks and labels rendered by custom React components.

Jjuanmy400

Scatter Plot with Menus

This interactive scatter plot displays the Iris flower dataset, plotting sepal and petal measurements against each other. Two dropdown menus allow users to select which measurement attributes appear on the x- and y-axes, with axis labels updating accordingly. The visualization uses React for component state and rendering, with d3-scale (scaleLinear) for positioning and d3.extent to compute domains. SVG circles represent data points with hover tooltips, while custom React components (AxisBottom, AxisLeft, and Dropdown) handle axes and menu interactions. Data loads asynchronously via d3.csv from a GitHub-hosted CSV file.

Llaplantalaplanta

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, displaying measurements such as sepal length and petal width. Users can select which attribute is mapped to the x-axis and y-axis using two drop-down menus, built with React’s `useState` hook. The visualization, rendered as SVG, uses `d3.scaleLinear` and `d3.extent` to compute scales, while `d3.csv` loads the data. Each point is a circle with a native SVG `<title>` element for hover tooltips, and axes are generated from tick values using custom React components.

RRiccardo De Lucia

Scatter Plot with Menus

This interactive scatter plot displays the Iris flower dataset, plotting measurements like sepal length and width against each other. Two dropdown menus let users select which quantitative attributes appear on the x- and y-axes, with the axes labels updating accordingly. The visualization is built with React and D3 v5, using scaleLinear for both axes and SVG circles for each data point, with axis components rendered as reusable React functions. The dataset is loaded as CSV from a GitHub gist using d3.csv, and the ReactDropdown component provides the menu interface.

Bbsolomon103

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, allowing users to explore relationships between different measurements of iris flowers. Through dropdown menus, viewers can dynamically select which attribute controls the x-axis (sepal length/width, petal length/width) and which controls the y-axis (sepal length/width, petal length/width), with labeled axes updating accordingly. Built with React and D3 v7, the visualization uses D3's `scaleLinear` and `extent` functions to compute scales from the CSV data, rendered as SVG circles with tooltips.

JJoe Hutchins

TTaweewat Somboonpanyakul

Scatter Plot with Menus

Interactive scatter plots of the Iris dataset allow users to select any of four numeric flower measurements for the x and y axes via dropdown menus built with React. The visualization uses D3 scales and SVG axes to render circles colored by default, with axis labels updating dynamically to reflect the selected attributes. Data is loaded asynchronously from a CSV using `d3.csv`, and React hooks manage the chart's state and re-rendering.