Polished Scatter Plot with Menus

100%

Polished Scatter Plot with Menus

✓ Published0🌍 Public

Last edited Jan 7, 2022

Created on Jan 6, 2022

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.

AI-generated description

7:59:35 continue

MIT Licensed

Similar vizzes

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

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 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.

Ccynichole

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 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

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

97% match

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, displaying measurements such as petal length and sepal width. Users can independently select which attribute is plotted on the X and Y axes using ReactDropdown menus, with axis labels updating accordingly. The visualization uses React with hooks to manage state, D3 scales (scaleLinear) for positioning, and renders SVG circles with tooltips via the title element. Custom AxisBottom and AxisLeft components generate ticks, while CSV data is loaded asynchronously through the d3.csv function.

Ccodexmon

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, 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

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, built with the ReactDropdown library, control which attribute is plotted on each axis, updating the visualization dynamically. The SVG chart is rendered using D3 v7’s `scaleLinear` for axes and points, with React managing state and component structure. Axis ticks, labels, and data points are generated from reusable components, with a tooltip revealing the current x-axis value. The plot uses a clean, polished design with custom styling.

OOleg Zhernovoy

97% match