Polished Scatter Plot with Menus

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, allowing users to explore relationships between sepal and petal measurements through dropdown menus that dynamically change the X and Y axes. The visualization uses React for state management, d3.scaleLinear and d3.extent for scaling axes, and d3.csv for data loading. SVG circles with d3.format-based tooltips display data points, while custom AxisBottom and AxisLeft components render ticks. The ReactDropdown component enables attribute selection, with axis labels updating accordingly to reflect the current measurements displayed.

SSong Tao Chen

Polished Scatter Plot with Menus

This interactive scatter plot explores the classic Iris dataset, displaying measurements like sepal width and petal length as circles colored by species. Users select which attributes to plot on the X and Y axes via ReactDropdown menus, with d3.scaleLinear and d3.extent defining the scales. The visualization uses React hooks and components like AxisBottom, AxisLeft, and Marks to render SVG elements, with tooltips and formatted tick labels from d3.format.

WWolfgang

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, displaying measurements of sepal and petal dimensions across species. Dropdown menus allow users to select which numerical attribute appears on the x- and y-axes, with the chart updating immediately via React state. The visualization uses d3.scaleLinear for both axes, renders SVG circles through React components, and includes axis tick marks generated with xScale.ticks(). Data is loaded asynchronously from a CSV using d3.csv, with React hooks managing the fetching and selection state.

Wwinniepooh520

Polished Scatter Plot with Menus

This interactive scatter plot displays the Iris flower dataset, plotting sepal and petal measurements with points colored by species. Users can switch the X and Y axes between different attributes using ReactDropdown menus. The visualization is built with React and D3 v5, using scaleLinear for axes, scaleOrdinal for categorical colors, and SVG rendering. Axes are generated with reusable AxisBottom and AxisLeft components, while data is loaded asynchronously via the csv function from D3.

SSai Phaltankar

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, letting users explore relationships between sepal and petal measurements. Two dropdown menus control which attribute is mapped to the x-axis and y-axis, with axes and labels updating dynamically. Built with React and D3 v5, the visualization uses `scaleLinear` for coordinate mapping, SVG `circle` elements for data points with tooltips, and custom `AxisBottom` and `AxisLeft` components for the axes. Data is loaded asynchronously from a CSV file via D3’s `csv` function.

XXianbin Gu (Bing)

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, allowing users to explore relationships between sepal and petal measurements by selecting attributes for the X and Y axes via dropdown menus. The visualization uses React for state management, d3.scaleLinear for axis scaling, and d3.extent to compute domains, rendering circles as SVG marks with native tooltips. Axis components display tick marks and labels, while the data is loaded asynchronously via d3.csv and formatted using d3.format for concise tick values.

Jjwlam83

Polished 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 control the X and Y axes. The visualization uses React for state management and dynamic UI updates, with D3.js scaleLinear and extent functions for scaling data to SVG coordinates. Custom AxisBottom and AxisLeft components render ticks and labels, while Marks components draw the circles representing individual iris flowers. The code also incorporates the react-dropdown library for the menu interface and CSS styling with the Poppins font.

Ccynichole

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements. Dropdown menus let viewers select which attributes appear on the X and Y axes, dynamically updating the visualization. Built with React and D3 v5, the SVG chart uses d3.scaleLinear for axis scaling, d3.extent for domain calculation, and d3.csv for data loading. Custom React components render the axes, marks, and dropdowns, with tooltips displaying formatted values on hover.

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