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, 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

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

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, allowing users to select which numeric attributes to plot on the X and Y axes via two dropdown menus. React state manages the selected attributes and triggers re-rendering of the SVG chart, while D3 (d3.scaleLinear, d3.extent) handles scaling and data loading from the CSV file. The chart includes labeled axes with tick marks and circles with tooltips for each data point.

CChristian Potdevin

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

Scatter Plot with Menus

This interactive scatter plot displays the Iris dataset, allowing users to select which of four numeric attributes or species appear on the x- and y-axes via dropdown menus. Built with React and D3 v5, the chart renders SVG circles and axes using reusable components like `AxisBottom`, `AxisLeft`, and `Marks`. Data loads through D3’s `csv` utility, while React state (`useState`) manages selections and updates scales with `scaleLinear` and `extent` from D3.

Kkbrookshire420

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to select which attribute appears on each axis via dropdown menus. The chart renders as an SVG using React components for the axes and marks, with D3 scales and extent functions handling the data domain. The visualization updates dynamically on selection, showing the relationship between any two measured flower attributes, with hover tooltips displaying the x-value in abbreviated format.

Vvesnaj

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to dynamically change which attributes are displayed on the x and y axes through two dropdown menus. Built with React managing state and D3 v7 utilities like `scaleLinear` and `extent` for scaling, the SVG rendering includes custom axis components and circles with tooltips. The code uses a custom `useData` hook with the `csv` function to load and parse the dataset, coordinating menu selections with axis labels and data values.

Jjbruzzo