Scatter Plot With Menus

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, displaying measurements for three flower species. Two dropdown menus let users independently select which attributes to plot on the X and Y axes. Built with React and D3, the visualization uses `scaleLinear` for axes and SVG circles for data points. Hovering reveals tooltips with formatted values. The React app manages state for axis selections and loads CSV data via D3's `csv` function, rendering axes and marks as React components with D3 scales.

RRay Yang

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between four flower measurements. Two dropdown menus independently select the attributes plotted on the x and y axes, with axes and labels updating accordingly. Built with React and D3 v5, it uses `scaleLinear`, `extent`, and `csv` for data loading and scaling. Points are rendered as SVG circles, with tooltips showing formatted values. The interface demonstrates a simple pattern for linking dropdown controls to dynamic axis updates.

CCurran Kelleher

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

A scatter plot of the Iris dataset rendered as an SVG in React, with dropdown menus that let the viewer change which flower measurements appear on the x- and y-axes. The plot uses d3.scaleLinear and d3.extent to map data to pixel coordinates, with custom React components for the axes and marks. Data is loaded as CSV via d3.csv, and each circle includes a native SVG title tooltip.

Wweny1109

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 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

A scatter plot of the Iris Dataset displays sepal and petal measurements, with dropdown menus allowing users to select which attributes appear on the x- and y-axes. The visualization uses React with D3's `scaleLinear` and `extent` to map data to SVG circles, while axes are rendered via custom `AxisBottom` and `AxisLeft` components. The dropdowns update state to re-scale and re-render the marks dynamically, with formatted tick labels using D3's `format`.

RRajat Dangat

Scatter plot with menus

Two dropdown menus let viewers choose which Iris flower measurements appear on the x and y axes of an SVG scatter plot. The React app loads the Iris dataset via `d3.csv` and uses `d3.scaleLinear` and `d3.extent` to set domains, while custom React components render axes and circles. As the menu selections change, the axes rescale and the scatter plot updates with the newly selected attributes, using `d3.format` for tick labels.

DDaniel Zsido