Scatter Plot with Menus

Scatter Plot with Menus

This interactive scatter plot displays the Iris dataset, showing relationships between numeric attributes while allowing users to change the X and Y variables through dropdown menus. The visualization uses React for state management and rendering, with D3.js v5 scales and SVG marks. Axis components generate ticks via scale methods, while circle elements with embedded titles serve as tooltips. The plot retrieves CSV data using d3.csv and scales the axes with scaleLinear.

MMichael Bergerson

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to compare any two numeric attributes by selecting them from dropdown menus for the x- and y-axes. The chart renders data points as SVG circles using React components and D3 scales (scaleLinear, extent) for positioning. Axis components generate ticks and labels, while menu options dynamically update the displayed dimensions. The visualization uses React state to manage selected attributes and d3.csv to load the data, with axis formatting applied via d3.format.

KKevin McMorrow

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, letting users explore relationships between measurements by selecting which attributes appear on the x- and y-axes via dropdown menus. The visualization uses React with D3 v5 to render SVG circles, with scales and axes built through d3.scaleLinear and d3.axis components. Data is loaded asynchronously from a CSV file using d3.csv, and axis labels update dynamically based on menu selections.

Ccynichole

Animated Scatterplot with Menus

This example visualizes the Iris dataset as an animated scatterplot where users can select which columns to plot on the x- and y-axes via dropdown menus. Built with React and D3 v6, it uses `d3.csv` for data loading, `scaleLinear` and `scalePoint` for axes, and SVG circles rendered through a reusable `scatterPlot` component. Transitions animate point positions over 1000ms with staggered delays, while `d3.dispatch` handles menu change events to update the visualization dynamically.

Ccardoza-IPH

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

Ccharlieronchetti@gmail.com

Animated Scatter Plot with Menus

This animated scatter plot, built with React and D3, lets users explore the classic Iris dataset by dynamically selecting which columns map to the x- and y-axes via two dropdown menus. The chart supports both quantitative and categorical axes, smoothly transitioning circles to their new positions over one second when the data or axis type changes. On initial load, points grow from radius zero into place, and all axis transitions are animated for a polished, interactive experience.

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing viewers to explore relationships between different flower measurements by selecting which attributes to plot on the x- and y-axes via dropdown menus. The SVG rendering uses React to create axis components and circular marks, with D3's `scaleLinear` and `extent` functions managing the data domains. Hovering over a circle reveals a tooltip with its corresponding x-value, implemented through SVG `<title>` elements.

SSai Phaltankar

Scatter Plot with Menus

This interactive scatter plot displays the classic Iris dataset, allowing users to compare any two numerical attributes by selecting them from dropdown menus for the X and Y axes. Each point represents a flower sample, with hover tooltips revealing precise values. Built with React and D3 v5, the visualization uses SVG rendering and scales created via `d3.scaleLinear` and `d3.extent`, with axes generated by custom React components. The menus update the state to re-render the chart dynamically.

MMario Ibarra