Interactive Scatter with Menus

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, allowing users to explore relationships between sepal and petal measurements across three flower species. Two dropdown menus let viewers select which attributes appear on the X and Y axes, while a color legend enables hovering to highlight specific species by dimming others. The visualization uses React for component state management, d3.scaleLinear and d3.scaleOrdinal for coordinate and color mapping, and renders as an SVG with reusable axis, mark, and legend components.

Sstevensmithj

Scatter with Menus

This interactive scatter plot displays the Iris dataset, allowing exploration of relationships between sepal and petal measurements. Two dropdown menus let users select which attributes to plot on the x and y axes, with the chart updating dynamically. Built with React and D3 v5, the visualization renders as an SVG, using d3.scaleLinear for axes and d3.extent to compute data domains. Axis ticks and labels are generated from the D3 scale, while circle marks include a tooltip showing the formatted x-value.

Mmbooch22

scatter with menus

This interactive scatter plot displays the Iris flower dataset, letting users explore relationships between sepal and petal measurements through dropdown menus that control the x and y axes. The visualization, rendered with React and D3 v7, uses `scaleLinear` for axes, `scaleOrdinal` for species coloring, and SVG circles for data points. Hovering over the color legend highlights a selected species while dimming others, and tooltips reveal exact values via SVG `<title>` elements.

JJosh Zalcman

Scatter Plot With Menue

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements across three flower species. Two dropdown menus control which measurements appear on the x and y axes, while a color legend enables highlighting individual species by dimming others. Built with React and D3 v5, the visualization uses `scaleLinear` for axes, `scaleOrdinal` for categorical colors, and renders SVG circles positioned via x and y scales, with native tooltips on hover.

AAnkit5ingh

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements. Two dropdown menus let viewers independently select which attribute maps to the x-axis and y-axis, with the chart updating dynamically. The visualization is built using React for component rendering and D3 v5 utilities for data loading, linear scaling, and axis generation, producing an SVG output. Data is fetched from a CSV file using D3’s `csv` function, and circles represent individual flowers with tooltips showing values.

MMorgan Worrell

Scatter Plot with Menus

This interactive scatter plot displays the Iris dataset, allowing users to explore relationships between sepal and petal measurements through two dropdown menus that control which attributes appear on the x and y axes. Built with React and D3 v5, the visualization uses d3.scaleLinear for axes, d3.extent to compute domains, and d3.csv to load data. SVG circles represent individual flowers, with tooltips showing exact values. The interface includes labeled axes that update dynamically, styled with custom CSS and the Poppins font.

SSabin Bhandari

Scatter Plot With Menus

This interactive scatter plot displays the Iris dataset, allowing users to explore relationships between sepal and petal measurements across different species. Two dropdown menus, built with React, control which variables are plotted on the x and y axes. Hovering over a species in the color legend highlights those data points while dimming others, a feature implemented using React's `useState` and `onMouseEnter` events. Points are rendered as SVG circles using `d3.scaleLinear` for axes and `d3.scaleOrdinal` for colors, with the data fetched from a CSV file via `d3.csv`.

33ssalunke

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements across three flower species. Two dropdown menus, built with ReactDropdown, dynamically control which attributes map to the x and y axes, with the species determining point color through a d3.scaleOrdinal color scale. The React-based visualization uses d3.scaleLinear for axes, renders SVG circles via the Marks component, and includes tooltips showing formatted values. Data loading is handled by d3.csv with type coercion for numeric columns.

Vvmonney