Polished Scatter Plot with Menus

100%

Polished Scatter Plot with Menus

✓ Published1🌍 Public

Last edited Jan 15, 2022

Created on Jan 15, 2022

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.

AI-generated description

A scatter plot of The Iris Dataset.

MIT Licensed

Similar vizzes

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. The visualization uses D3.js scaleLinear functions to compute domain and range mappings, while React manages the dropdown menus for selecting X and Y axes. The plot renders SVG circles with tooltips, displaying formatted tick values. The code employs D3's csv() method to fetch and parse the dataset from a GitHub URL.

CCurran Kelleher

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 by selecting which attribute appears on each axis via dropdown menus. Built with React and D3 v5, the visualization renders SVG circles with tooltips and labeled axes. The code uses `d3.csv` for data loading, `scaleLinear` for scaling, and `extent` to compute domains. Axis components generate tick marks using `xScale.ticks()` and `yScale.ticks()`, with formatting applied through `d3.format` for the x-axis tick labels.

RReinaFeng

98% match

Loading thumbnail…

Polished Scatter Plot with Menus

This scatter plot displays the Iris dataset, showing relationships between sepal and petal measurements for different flower species. Users can select which attributes appear on the x- and y-axes using two dropdown menus. The visualization is built with React components and d3.v5 scales, rendering circles as SVG marks. Data loading uses d3.csv, while axis generation and tick formatting rely on d3’s scaleLinear, extent, and format functions.

JJCarpenter-WPI

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 by selecting different attributes from dropdown menus for the X and Y axes. The visualization uses React with D3.js v5 scales to map data values to SVG circle positions, with axes rendered as React components. Each data point includes a tooltip showing the x-axis value in abbreviated format. The graph updates dynamically when attribute selections change, displaying four continuous measurement options and one categorical species option.

HHarabi Adem

97% 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

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. 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 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)

97% match

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 by selecting different attributes for the x and y axes via dropdown menus. The visualization uses React for the component structure and D3’s scaleLinear, extent, and max functions to map data values to pixel coordinates. Each point renders as an SVG circle with a tooltip showing the x-axis value. The chart includes polished axis labels, tick formatting with d3.format, and a clean Poppins font styling.

JJepyagg

97% match