Polished Scatterplots with Menus

PolishedScatter Plot with Menus

This interactive scatter plot visualizes the classic Iris dataset, allowing users to explore relationships between sepal and petal measurements. Two dropdown menus control which attribute is mapped to the x-axis and y-axis. The visualization updates dynamically with each selection, rendering axes, labels, and circular marks within an SVG canvas. Built with React and D3 v7, the example uses `scaleLinear` for continuous scales and `extent` to compute data domains. Data is loaded via D3's `csv` function from a remote gist URL, with numeric values parsed on import. The implementation separates concerns into components for axes, dropdowns, and data marks.

Ww.fukuyama@gmail.com

Polished Scatterplot with Menus

This interactive scatterplot lets users explore the Iris dataset by changing which attributes are plotted on the X and Y axes via dropdown menus. The visualization initially shows petal length against sepal width, with each of the 150 flowers represented as a circle. Built with React, the chart uses D3 v7’s `scaleLinear`, `extent`, and `format` functions to compute scales and axis ticks. The SVG rendering is assembled from custom components for axes and marks, styled with the Poppins font and a teal color scheme. Data is loaded asynchronously from a remote CSV using D3’s `csv` function.

KK3zter

Polished Scatter Plot with Menus

This scatter plot visualizes the Iris dataset, allowing users to compare any two measured attributes (sepal length, sepal width, petal length, petal width, or species) through interactive dropdown menus that control the x- and y-axes. The SVG rendering uses React components for the axes and marks, with D3’s `scaleLinear` and `extent` functions computing the plot scales. Data is loaded asynchronously from a CSV file via `d3.csv`, with axis labels and tick formatting provided by D3’s `format` helper.

Llzb1003

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 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 example renders the classic Iris dataset as an interactive scatter plot, allowing users to explore relationships between sepal and petal measurements by selecting which attributes appear on the X and Y axes via dropdown menus. Built with React components and rendered as SVG, the visualization uses D3's `scaleLinear` and `extent` functions to compute scales from the data, with axes generated by custom `AxisBottom` and `AxisLeft` components. The plot reads data from a CSV file using D3's `csv` utility, and each point displays a tooltip showing its precise value.

MMorgan Worrell

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

Polished Scatter Plot with Menus

This interactive scatter plot explores the classic Iris dataset, showing how sepal and petal measurements vary across flower species. It uses React to render SVG circles, with dropdown menus letting users choose which attributes appear on the x- and y-axes. The visualization leverages D3 utilities like `scaleLinear`, `extent`, and `csv` for data loading and axis construction, while the axes and marks are built as reusable React components. Hovering over a point reveals its value via a native SVG `<title>` tooltip.

JJoe Hutchins