Polished Scatter plot with menus

100%

Polished Scatter plot with menus

✓ Published1🌍 Public

Last edited Feb 6, 2022

Created on Apr 15, 2021

This interactive scatter plot visualizes the Iris dataset, depicting measurements of sepal and petal dimensions for three flower species. Users can dynamically select which quantitative attribute to map to the x-axis and y-axis through dropdown menus, with points colored by species and a corresponding legend. The visualization is built using React with D3’s `scaleLinear`, `scaleOrdinal`, and `extent` functions to compute scales, while SVG components like `AxisBottom`, `AxisLeft`, and `Marks` render the axes, circles, and tooltips. Data is loaded asynchronously via `d3.csv` from a remote GitHub source.

AI-generated description

A scatter plot of [Iris] https://gist.githubusercontent.com/curran/a08a1080b88344b0c8a7/raw/0e7a9b0a5d22642a06d3d5b9bcbad9890c8ee534/iris.csv

MIT Licensed

Similar vizzes

Loading thumbnail…

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

96% match

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements across species. Dropdown menus dynamically change the X and Y axes, redrawing the SVG circles and axis labels in real time. Built with React and D3 v5, the visualization uses `scaleLinear` for axis scaling, `extent` for domain calculation, and custom `AxisBottom`, `AxisLeft`, and `Marks` components for rendering. Data is loaded asynchronously via `csv()` from a remote URL, with tooltips showing formatted values. The chart includes styled tick marks, axis labels, and a clean Poppins font.

Bbsolomon103

96% match

Loading thumbnail…

Polished 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 numerical attributes appear on the x and y axes, while the color of each point encodes the species of the flower. The visualization is built with React and D3 v5, using SVG rendering for the axes, color legend, and data points. The D3 library provides the linear and ordinal scales, while React manages the interactive state for the menu selections. The dataset is loaded as a CSV file and mapped to numeric values.

Wweny1109

96% match

Loading thumbnail…

Polished scatter plot with menus

This interactive scatter plot visualizes the Iris dataset, letting users explore relationships between four measurements (sepal and petal length/width) through dropdown menus that select which attribute appears on each axis. The visualization renders as an SVG using React components, with D3 v5 handling data loading via `d3.csv` and scale construction through `scaleLinear` and `extent`. Axis ticks are generated manually from the scales, and hovering over a point reveals its x-value via an SVG `<title>` element. The chart includes styled axes, labels, and a clean layout with margins.

SShuyu Zheng

96% match

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to select which flower measurements appear on the X and Y axes via dropdown menus. The visualization updates in real time, displaying sepal and petal dimensions with axis labels and tooltips. Built with React and D3 v5, it uses `scaleLinear` for axis scaling, SVG circles for data points, and custom components for axes and marks. The chart renders as a static SVG with the data loaded from a remote CSV file.

Cchamce

96% match

Loading thumbnail…

Polished Scatterplot with menus

An interactive scatterplot of the Iris dataset, built with React and D3, lets users explore relationships between sepal and petal measurements. Two dropdown menus select which quantitative attributes to plot on the x- and y-axes, while the scales and axes update accordingly. The SVG visualization uses D3 scales (`scaleLinear`, `extent`) to map data coordinates, with React components (`Marks`, `AxisBottom`, `AxisLeft`) rendering circles and tick marks. Data loads asynchronously via `d3.csv`, and hover tooltips reveal precise values using the SVG `<title>` element.

LLove Wessman

96% match

Loading thumbnail…

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

96% match

Loading thumbnail…

Polished Scatterplot with menus

This interactive scatterplot displays the Iris dataset, allowing users to select which measured attribute (sepal length, sepal width, petal length, or petal width) appears on the X and Y axes via dropdown menus. The visualization updates the linear scales, axes, and positioned circles in response to menu changes. Built with React and D3 v6, it uses `scaleLinear` for axis scaling, `csv` for data loading, and SVG for rendering. The polished styling includes custom menus from `react-dropdown` and axis formatting with `d3.format`.

Ssurikmeetr

96% match