Polished Scatter Plot with Menus

100%

Polished Scatter Plot with Menus

✓ Published0🌍 Public

Last edited Oct 8, 2020

Created on Oct 7, 2020

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.

AI-generated description

A scatter plot of The Iris Dataset.

This visualization was created using {Stylized Scatter Plot}(https://vizhub.com/curran/3d631093c2334030a6b27fa979bb4a0d) as a template and modifying following Week 6 videos from CS573.

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 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

98% match

Loading thumbnail…

Polished Scatter Plot with Menus

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.

OOlof Ollerstam

98% 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

98% 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 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 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 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

97% match

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot explores the Iris flower dataset, visualizing relationships between measurements like petal length and sepal width. Users select which attributes appear on the X and Y axes through dropdown menus built with React Dropdown, while the SVG visualization updates dynamically using React state management. The chart renders circles for each data point via D3 scales and components, with axis labels, tick marks, and tooltips providing context on the selected measurements. The interface uses D3 v7 for scales and data parsing, with React 16.9 handling component rendering and menu interactions.

KKazushige Okuma

97% match