Scatterplot with Menus

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

Scatterplot with Menus

A scatterplot of the Iris Dataset rendered as SVG, with dropdown menus that let the viewer select which numeric attribute appears on the X and Y axes. The chart uses D3 v5 scales and extent functions to compute domains, and React components (AxisBottom, AxisLeft, Marks) to draw ticks, labels, and circles. Data is loaded as CSV via d3.csv, with numeric parsing in a custom row function.

CChris Knight

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 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

Scatter Plot with Menus

A scatter plot of the Iris dataset rendered with SVG, where dropdown menus allow the user to select which attribute maps to the x- and y-axes. The visualization uses React with hooks for state management, D3 scales and axes for positioning, and a custom Dropdown component to update the selected attributes. Circles represent each flower, with a tooltip showing the x-axis value.

PPeter Krevenets

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, allowing users to select which numeric attributes appear on the x- and y-axes via dropdown menus. Built with React and D3 v5, it renders SVG circles for each data point, with axes generated through custom React components. The code uses `d3.scaleLinear` for scaling, `d3.extent` for domains, and `d3.csv` for loading data, while `ReactDropdown` provides the menu controls.

Ttharuta

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