Scatter_Plot_New_withMenus

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 select which attributes appear on the x and y axes, dynamically updating the visualization. Built with React and D3 v5, the example uses `scaleLinear` for scaling, `extent` for domain calculation, and SVG circles for data points. The axes are custom React components that render tick marks and labels, while hover tooltips display formatted values via SVG `<title>` elements.

MMarat

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 visualizes the Iris Dataset, allowing users to explore relationships between sepal and petal measurements across flower species. Two dropdown menus dynamically control which quantitative attribute is displayed on the x- and y-axes, with axes, labels, and data points updating in real time. Built with React and D3 v5, the visualization renders as SVG, using d3.scaleLinear for axis scaling and d3.extent for data domains. Hovering over any circle reveals its exact value via SVG titles.

Nn.koldovsky@gmail.com

Scatter Plot with menus

This interactive scatter plot displays the Iris dataset, allowing exploration of relationships between sepal and petal measurements. Users select which attributes to plot on the x and y axes using dropdown menus, with axis labels updating to reflect the chosen variables. The visualization is built with React and rendered as SVG using d3.v7's scaleLinear function for coordinate mapping. The data is loaded from a CSV file using d3.csv, and the plot includes title formatting, axis ticks, and tooltips for data point inspection.

Jjackcaldwellnichols

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 Iris dataset, allowing users to explore relationships between sepal and petal measurements through dropdown menus that select which attributes appear on each axis. The visualization uses React for state management and D3 v7 for scales and SVG rendering, with axes generated by custom axis components and circles representing individual flowers. Data is loaded asynchronously via D3’s `csv` parser from a remote GitHub gist, and the plot updates dynamically as menu selections change.

Ww.fukuyama@gmail.com

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 select which attribute is plotted on the x-axis and y-axis, with the chart updating dynamically to reflect their choices. Built with React and D3 v5, the visualization renders points as SVG circles, using D3’s scaleLinear and extent for axis scaling. The code employs reusable components for axes, marks, and dropdowns, with axis labels and tick formatting courtesy of D3’s format function.

AAudrey

Scatter Plot with Menus

This interactive scatter plot displays the Iris dataset, allowing users to explore relationships between sepal and petal measurements by selecting which attributes appear on the X and Y axes via dropdown menus. The visualization renders each flower as an SVG circle, with tooltips showing exact values on hover. Built with React for the interface and D3 v5 for scales, axes, and data loading through `d3.csv`, the chart updates scales and labels dynamically when menu selections change. The code uses `scaleLinear` with `extent` for domain calculation and custom React components for the axes and dropdowns.

Wwinniepooh520