Polished Scatter Plot with Menus

100%

Polished Scatter Plot with Menus

✓ Published0🌍 Public

Last edited Dec 7, 2021

Created on Nov 23, 2021

This scatter plot visualizes the Iris dataset, letting users explore relationships between flower measurements. Two dropdown menus, built with ReactDropdown, select which attributes (sepal length/width, petal length/width) appear on the x and y axes. The visualization uses React with hooks to manage state, while d3.scaleLinear and d3.extent compute the scale domains. SVG circles represent data points, with d3.csv loading the dataset and custom React components handling axes and marks. Data is rendered from a remote CSV file.

AI-generated description

A scatter plot of The Iris Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

Polished Scatter Plot with Menus

An interactive scatter plot of the Iris dataset enables exploration of relationships between numeric flower measurements. Two dropdown menus, built with ReactDropdown, let users select which attributes (sepal length, sepal width, petal length, or petal width) map to the x and y axes. The visualization uses React with D3 scales (d3.scaleLinear) and axis components rendered as SVG. Data is loaded asynchronously via d3.csv, with tooltips showing precise values for each circle mark.

RRudy Shayganfar

98% match

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot displays the Iris flower dataset, allowing users to explore relationships between four measurements (sepal length, sepal width, petal length, and petal width). Two dropdown menus built with ReactDropdown let viewers select which attribute appears on each axis. The visualization uses React state management to track selections and update the scales and marks accordingly. D3 utilities such as `csv`, `scaleLinear`, `extent`, and `max` handle data loading and scaling, while custom React components render SVG axes and circles as marks.

BbeauMarko

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 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

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 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

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, built with ReactDropdown, let viewers dynamically change which attributes map to the x- and y-axes, with axis labels updating accordingly. The plot is rendered as an SVG using D3 scales (scaleLinear) within a React framework, with circles colored teal and tooltips displaying precise values on hover. The code leverages D3’s csv loader to parse the data and D3’s format function for axis tick labels.

SSonja Ek

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, 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