Polished Scatter Plot with Menus

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to compare any two numerical attributes by selecting variables for the X and Y axes from dropdown menus. Built with React and D3.js, the visualization uses `scaleLinear` and `extent` to map data values to SVG coordinates, with custom axis components rendering ticks. The marks are SVG circles with tooltips that show formatted values using D3's `format`. Data is loaded asynchronously via D3's `csv` parser, and the interface updates dynamically when menu selections change.

Llynz09

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, allowing users to compare any two numerical attributes via React dropdown menus that control the x- and y-axes. The visualization uses React state with the `useState` hook to manage selected attributes and dynamically updates the scales with d3’s `scaleLinear` and `extent`. Rendered as an SVG, the chart includes polished axes built with custom components, tick labels formatted with d3’s `format`, and circular marks that display native tooltips on hover. Data loading is handled asynchronously through d3’s `csv` function.

CChiuyc

Polished Scatter Plot with Menus

A scatter plot of the Iris dataset, this visualization displays the relationship between any two selected attributes. Users choose the variables for the X and Y axes from dropdown menus, with the plot updating dynamically. Built with React and D3 v5, it uses `d3.scaleLinear` for scales and `d3.extent` for domain calculation. The SVG render includes custom axis components and marks with tooltips, with data loaded via `d3.csv`.

MMario Ibarra

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, a classic dataset of flower measurements. Users can explore relationships between different attributes by using dropdown menus to select which variables appear on the x- and y-axes. The visualization is built with React and D3, using D3's `scaleLinear` for axis scaling and `extent` for domain calculation. Each data point is rendered as an SVG circle, with tooltips providing formatted values, and customizable axis labels update dynamically based on menu selections.

JJerfaas

Polished Scatter Plot with Menus

This example shows an interactive scatter plot of the Iris dataset, with dropdown menus allowing the user to select which attributes appear on the x and y axes. The visualization uses React for component management and state, while D3 v5 provides scales and the CSV data loading via `d3.csv`. Points are rendered as SVG circles with tooltips, and axis ticks are generated using `xScale.ticks()` and `yScale.ticks()`. The layout uses fixed dimensions and margins, with axis labels updating dynamically based on the selected attributes.

Wwenleicao

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, allowing users to select which numeric attributes are plotted on the x- and y-axes via dropdown menus. The visualization uses React to manage component state and render SVG elements, with D3’s `scaleLinear`, `extent`, and `max` functions handling axis scaling and data mapping. Axis ticks and labels are generated through custom React components, while circles representing data points include tooltips using SVG `<title>` elements. The graph updates dynamically whenever the dropdown selections change.

AAudrey

Polished Scatter Plot with Menus

This example presents an interactive scatter plot of the Iris Dataset, featuring dropdown menus that allow users to dynamically select which attributes to display on the x- and y-axes. The visualization uses React to manage state and render SVG elements, with D3.js (d3.v5) providing the scaling, axis generation, and data formatting utilities. Points are rendered as circles with tooltips, and the chart includes labeled axes and a clean, polished aesthetic. The data is loaded asynchronously from a CSV file using D3's `csv` function within a custom `useData` hook.

AAndrey Katamanov

Polished Scatterplot with Menus

This interactive scatterplot visualizes the Iris Dataset, allowing users to explore relationships between four flower measurements by selecting which attributes appear on the x- and y-axes via dropdown menus. The visualization uses React for the UI and D3 v7 scales (`scaleLinear`, `extent`) and SVG for rendering. Each data point is a circle colored teal, with axis labels updating dynamically based on the selected variables, and the code loads the dataset asynchronously with `d3.csv`.

Aalexandermodell