Stylized Scatter Plot with Menus

100%

Stylized Scatter Plot with Menus

✓ Published1🌍 Public

Last edited Nov 19, 2021

Created on Nov 19, 2021

This interactive scatter plot visualizes the classic Iris dataset, allowing users to explore relationships between four flower measurements by selecting which attributes appear on each axis via dropdown menus. Built with React and D3 v5, the chart uses SVG for rendering and dynamically updates scales and marks based on user selections. The visualization employs D3’s scaleLinear for positioning, CSV loading through d3.csv, and custom React components for axes and dropdown controls, while colors are randomly assigned per data point from a fixed palette.

AI-generated description

A stylized scatter plot of the famous iris data set, using React to create menus and interactivity.

MIT Licensed

Similar vizzes

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between four flower measurements. Two dropdown menus independently select the attributes plotted on the x and y axes, with axes and labels updating accordingly. Built with React and D3 v5, it uses `scaleLinear`, `extent`, and `csv` for data loading and scaling. Points are rendered as SVG circles, with tooltips showing formatted values. The interface demonstrates a simple pattern for linking dropdown controls to dynamic axis updates.

CCurran Kelleher

94% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, letting users explore relationships between measurements by selecting which attributes appear on the x- and y-axes via dropdown menus. The visualization uses React with D3 v5 to render SVG circles, with scales and axes built through d3.scaleLinear and d3.axis components. Data is loaded asynchronously from a CSV file using d3.csv, and axis labels update dynamically based on menu selections.

Ccynichole

94% match

Loading thumbnail…

Scatter Plot with Menus

This scatter plot visualizes the Iris Dataset, allowing users to explore relationships between four numeric flower measurements and species through interactive dropdown menus that control which attributes appear on the x and y axes. The visualization uses React to manage state for selected attributes, while D3.js handles the linear scales, axis generation, and data loading via `csv`. The SVG rendering displays circles colored teal, with axis labels updating dynamically based on menu selections.

Wwindwaver

94% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot displays the Iris flower dataset, allowing users to compare any two attributes by selecting them from dropdown menus for the X and Y axes. The visualization updates dynamically, with axis labels and scales recalculating to reflect the chosen measurements. Built with React and D3 v5, it uses `scaleLinear` and `extent` to derive scales, renders SVG circles for each data point, and organizes its code into reusable components for axes, marks, and dropdowns. The data is loaded from a CSV file via D3’s `csv` function.

JJohn Patrick Banas

94% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot displays the Iris dataset, allowing users to explore relationships between different flower measurements by selecting which attributes appear on the x and y axes via two dropdown menus. The visualization is built using React with D3.js v6, rendering SVG circles with tooltips that show precise values on hover. The code uses D3's `scaleLinear`, `extent`, and `format` functions for axis scaling and tick formatting, while the custom `AxisBottom`, `AxisLeft`, `Marks`, and `Dropdown` components demonstrate a modular approach to building interactive charts within a React framework.

CCodeDuckie99

94% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, allowing users to explore relationships between four numeric flower measurements by selecting which attributes appear on the x- and y-axes via dropdown menus. The visualization uses React with SVG rendering, leveraging d3.scaleLinear for coordinate mapping, d3.extent for domain calculation, and d3.csv for data loading. Each point is drawn as a circle with a tooltip showing its x-axis value, while axis labels update dynamically to reflect the selected measurements.

TTousifAhamed

94% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between different flower measurements via dropdown menus. The chart displays data points as circles, with the x-axis and y-axis representing selected attributes like petal length or sepal width. Built with React and D3 utilities, the visualization uses d3.scaleLinear for axis scaling, d3.extent for domain calculation, and d3.csv for data loading. Users switch attributes through React state management, triggering real-time updates to the axes and marks rendered as SVG circles with tooltips.

LLaura Johnson

94% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot displays the Iris Dataset, allowing viewers to explore relationships between different floral measurements by selecting which attributes to plot on the X and Y axes through two dropdown menus. Built with React and D3 v5, it uses the `scaleLinear` API to map data to SVG coordinates, with custom `AxisBottom`, `AxisLeft`, and `Marks` components rendering the axes and circle glyphs. The visualization updates dynamically when menu selections change, and each data point includes a native SVG tooltip showing its value.

Jj-PGi

94% match