Iris Scatterplot With Menus

100%

Iris Scatterplot With Menus

✓ Published1🌍 Public

Last edited Apr 9, 2022

Created on Apr 7, 2022

This interactive scatterplot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements. Two dropdown menus let viewers select which attribute to plot on the x-axis and y-axis, with the chart dynamically updating the scales and axis labels. Built with React and D3 v7, the visualization uses `scaleLinear` for axes, `extent` for domain calculation, and SVG rendering for the scatterplot marks. Data is fetched from a GitHub gist using D3's `csv` loader, with axis components defined as reusable React functions.

AI-generated description

Scatterplot of the Iris dataset

data Iris Dataset

MIT Licensed

Similar vizzes

Loading thumbnail…

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

97% match

Loading thumbnail…

Scatterplot with Menus

This interactive scatterplot visualizes the Iris Dataset, allowing users to explore relationships between sepal and petal measurements across different species. Two dropdown menus let viewers select which attributes appear on the x and y axes, with the plot updating dynamically. Built with React and D3 v7, the example uses D3’s scaleLinear and extent for axis scaling, and renders the scatterplot as SVG circles with tooltips. The data is loaded via D3’s csv function from a remote GitHub gist.

Aalexandermodell

96% match

Loading thumbnail…

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 independently select which attribute maps to the x-axis and y-axis, with the chart updating dynamically. The visualization is built using React for component rendering and D3 v5 utilities for data loading, linear scaling, and axis generation, producing an SVG output. Data is fetched from a CSV file using D3’s `csv` function, and circles represent individual flowers with tooltips showing values.

MMorgan Worrell

96% match

Loading thumbnail…

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

96% match

Loading thumbnail…

Scatter Plot With Menues

This interactive scatter plot displays the Iris dataset, allowing users to explore relationships between sepal and petal measurements. Dropdown menus dynamically select which numerical attribute appears on each axis, updating the chart in real time. Built with React and D3 v6, the visualization uses d3.scaleLinear for scales and d3.extent for domains, rendered as SVG circles with tooltips. The code loads the data via d3.csv and demonstrates reusable axis and mark components.

Ppsabela

96% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot displays the classic Iris dataset, allowing users to explore relationships between sepal and petal measurements. Two dropdown menus let viewers independently select which attribute appears on the x- and y-axes, with axes and labels updating dynamically. Built with React and D3 v7, the visualization uses `scaleLinear` for coordinate mapping and renders data points as SVG circles. The data is loaded via D3's `csv` parser, and reusable axis and mark components keep the code modular.

ZZoe Ferencova

96% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements. Dropdown menus control which attributes are plotted on the x- and y-axes, with axis labels and scales updating accordingly. The visualization uses React with D3’s `scaleLinear`, `extent`, and `format` for scaling and tick formatting, rendering SVG circles for data points. Each point includes a tooltip showing its exact x-value, and the data is loaded via D3’s `csv` from a remote URL.

DDeborah Ong

96% match

Loading thumbnail…

Scatter Plot with Colors and Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements. Two dropdown menus let viewers independently select which attribute appears on the x- and y-axes, while the chart updates dynamically using React state management. The visualization is built with D3 v7 for scales, axes, and SVG rendering, and React for component structure and user interaction. Data is loaded asynchronously via D3's `csv` utility, and tooltips display values on hover.

Jjbruzzo

96% match