Polished Scatter Plot Menus

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the classic Iris Dataset, allowing users to explore relationships between sepal and petal measurements across species. Two dropdown menus control which numerical attribute maps to the x- and y-axes, dynamically rescaling the plot. Built with React and D3 v5, the visualization renders points as SVG circles using d3.scaleLinear for axes and d3.extent for domain calculation. The data is loaded asynchronously from a CSV file via d3.csv, with tick marks formatted using d3.format.

Ttrissentety

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. The visualization uses D3.js scaleLinear functions to compute domain and range mappings, while React manages the dropdown menus for selecting X and Y axes. The plot renders SVG circles with tooltips, displaying formatted tick values. The code employs D3's csv() method to fetch and parse the dataset from a GitHub URL.

CCurran Kelleher

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 which attribute appears on each axis via dropdown menus. Built with React and D3 v5, the visualization renders SVG circles with tooltips and labeled axes. The code uses `d3.csv` for data loading, `scaleLinear` for scaling, and `extent` to compute domains. Axis components generate tick marks using `xScale.ticks()` and `yScale.ticks()`, with formatting applied through `d3.format` for the x-axis tick labels.

RReinaFeng

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 different attributes for the x and y axes via dropdown menus. The visualization uses React with hooks to manage state, D3 v5 for scales and axes, and React Dropdown for the menu interface. Points are rendered as SVG circles with native tooltips, while axis labels update dynamically to reflect the currently selected attributes, with axis formatting handled by d3.scaleLinear and d3.format.

Llubin-liu

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.

Llaplantalaplanta

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 different attributes from dropdown menus for the X and Y axes. The visualization uses React with D3.js v5 scales to map data values to SVG circle positions, with axes rendered as React components. Each data point includes a tooltip showing the x-axis value in abbreviated format. The graph updates dynamically when attribute selections change, displaying four continuous measurement options and one categorical species option.

HHarabi Adem