Scatter Plot with Menus

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 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 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 Menues

This interactive scatter plot displays the Iris dataset, allowing users to explore relationships between sepal and petal measurements. Dropdown menus dynamically select which numerical attribute appears on each axis, updating the chart in real time. Built with React and D3 v6, the visualization uses d3.scaleLinear for scales and d3.extent for domains, rendered as SVG circles with tooltips. The code loads the data via d3.csv and demonstrates reusable axis and mark components.

Ppsabela

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, enabling exploration of relationships between sepal and petal measurements. Users can dynamically select which numerical attribute to display on each axis via dropdown menus, with the plot updating instantly. The visualization is built using React and D3 v7, rendering SVG circles and axes. The `scaleLinear`, `extent`, `csv`, and `format` D3 functions are used for data loading, scaling, and tick formatting, while React `useState` manages the selected attributes.

SSong Tao Chen

Scatter Plot with Menus

This interactive scatter plot displays the classic Iris dataset, allowing users to explore relationships between sepal and petal measurements. Two dropdown menus let viewers independently select which attribute appears on the x- and y-axes, with axes and labels updating dynamically. Built with React and D3 v7, the visualization uses `scaleLinear` for coordinate mapping and renders data points as SVG circles. The data is loaded via D3's `csv` parser, and reusable axis and mark components keep the code modular.

ZZoe Ferencova

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements through dropdown menus that select the x and y axes. Built with React and D3 v5, the SVG rendering uses `scaleLinear` for axes, with a `Dropdown` component managing the attribute selections. The data is loaded via `d3.csv` from a remote source, with circles colored uniformly and tooltips displaying the x-axis value in a compact format. The code demonstrates coordinated React state management with D3's functional programming style.

GGokulkrishnan1996

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements. Dropdown menus control which attributes are plotted on the x- and y-axes, with axis labels and scales updating accordingly. The visualization uses React with D3’s `scaleLinear`, `extent`, and `format` for scaling and tick formatting, rendering SVG circles for data points. Each point includes a tooltip showing its exact x-value, and the data is loaded via D3’s `csv` from a remote URL.

DDeborah Ong