Polished Scatter Plot with Menus

100%

Polished Scatter Plot with Menus

✓ Published1🌍 Public

Last edited Mar 3, 2022

Created on Mar 3, 2022

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements through dropdown menus that control the X and Y axes. The visualization uses React for state management and dynamic UI updates, with D3.js scaleLinear and extent functions for scaling data to SVG coordinates. Custom AxisBottom and AxisLeft components render ticks and labels, while Marks components draw the circles representing individual iris flowers. The code also incorporates the react-dropdown library for the menu interface and CSS styling with the Poppins font.

AI-generated description

The Iris Data set. 'https://gist.githubusercontent.com/curran/a08a1080b88344b0c8a7/raw/639388c2cbc2120a14dcf466e85730eb8be498bb/iris.csv';

MIT Licensed

Similar vizzes

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, allowing users to explore relationships between sepal and petal measurements through dropdown menus that dynamically change the X and Y axes. The visualization uses React for state management, d3.scaleLinear and d3.extent for scaling axes, and d3.csv for data loading. SVG circles with d3.format-based tooltips display data points, while custom AxisBottom and AxisLeft components render ticks. The ReactDropdown component enables attribute selection, with axis labels updating accordingly to reflect the current measurements displayed.

SSong Tao Chen

98% 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. 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 SVG chart uses d3.scaleLinear for axis scaling, d3.extent for domain calculation, and d3.csv for data loading. Custom React components render the axes, marks, and dropdowns, with tooltips displaying formatted values on hover.

Llaplantalaplanta

97% match

Loading thumbnail…

Polished Scatter plot with Menus

This interactive scatter plot displays the Iris flower dataset, allowing users to explore relationships between sepal and petal measurements through dropdown menus that select which attributes appear on the x and y axes. The visualization is built with React and D3 v6, using d3.scaleLinear for continuous axes and SVG circles rendered via the Marks component. The interface includes two ReactDropdown menus that update state to re-scale the plot, with axis labels dynamically reflecting the selected attributes. Data is loaded asynchronously from a CSV using d3.csv and parsed into numeric values.

Kkragovic

97% match

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between four numeric flower measurements (sepal length/width, petal length/width) and species. Two dropdown menus, built with `react-dropdown`, control which attributes appear on the x- and y-axes. The visualization uses React components with D3 scales (`scaleLinear`, `extent`) and SVG rendering to draw the circles and axes. The code also demonstrates reusable axis and mark components that update dynamically when menu selections change.

Nnghosh319

97% 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 independently select which numeric attribute appears on the x-axis and y-axis, with axis labels updating dynamically. The visualization uses React with hooks for state management, d3-scale for linear scaling, and d3.csv to load data. SVG circles represent individual flowers, with native `<title>` elements providing hover tooltips. The styling features a clean Poppins font and muted teal markers against light gray axes.

Qqtrfx

96% match

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, letting users explore relationships between sepal and petal measurements through dropdown menus that control the x and y axes. Built with React and D3 v5, it renders an SVG with axes generated using scaleLinear, extent, and custom AxisBottom and AxisLeft components. The Marks component displays each flower as a circle with tooltip support, while value labels update dynamically based on user selections.

Llefat92

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 by selecting which attributes appear on the X and Y axes. Two dropdown menus, built with the `react-dropdown-browser` library, control the axes. The visualization uses D3 v6's `scaleLinear` for axis scaling and renders circles as SVG marks, with tooltips showing formatted values. Axis components are built with reusable React functions, while data loading is handled asynchronously via D3's `csv` method.

TTaweewat Somboonpanyakul

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 by selecting attributes for the X and Y axes via dropdown menus. The visualization uses React for state management, d3.scaleLinear for axis scaling, and d3.extent to compute domains, rendering circles as SVG marks with native tooltips. Axis components display tick marks and labels, while the data is loaded asynchronously via d3.csv and formatted using d3.format for concise tick values.

Jjwlam83

96% match