Polished Scatter Plot with Menus

100%

Polished Scatter Plot with Menus

✓ Published1🌍 Public

Last edited May 9, 2021

Created on May 9, 2021

This example presents an interactive scatter plot of the Iris flower dataset, allowing users to select which numeric attributes to plot on the x- and y-axes via dropdown menus. The visualization uses React for component-based UI and rendering, with D3 v5 utilities such as `scaleLinear`, `extent`, and `format` for scales and axis tick formatting. SVG circles represent data points, colored by species using `scaleOrdinal`, and include tooltips showing exact values. The code leverages a custom `useData` hook to load CSV data asynchronously.

AI-generated description

A program that loads in some data about CSS named colors using D3 utilities, and uses React to render the data as a radial burst!

MIT Licensed

Similar vizzes

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, allowing users to select which numeric attributes are plotted on the x- and y-axes via dropdown menus. The visualization uses React to manage component state and render SVG elements, with D3’s `scaleLinear`, `extent`, and `max` functions handling axis scaling and data mapping. Axis ticks and labels are generated through custom React components, while circles representing data points include tooltips using SVG `<title>` elements. The graph updates dynamically whenever the dropdown selections change.

AAudrey

97% match

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to dynamically select which flower attributes to display on the x- and y-axes via two dropdown menus. The SVG rendering uses React components with D3 scales (d3.scaleLinear) and axes, while the raw CSV data is loaded asynchronously using d3.csv. Points are drawn as circles with hover tooltips showing formatted values.

Nnpelliccia

96% match

Loading thumbnail…

Polished Scatter Plot with Menus

This example presents an interactive scatter plot of the Iris Dataset, featuring dropdown menus that allow users to dynamically select which attributes to display on the x- and y-axes. The visualization uses React to manage state and render SVG elements, with D3.js (d3.v5) providing the scaling, axis generation, and data formatting utilities. Points are rendered as circles with tooltips, and the chart includes labeled axes and a clean, polished aesthetic. The data is loaded asynchronously from a CSV file using D3's `csv` function within a custom `useData` hook.

AAndrey Katamanov

96% match

Loading thumbnail…

Polished Scatter Plot with Menus

This example presents an interactive scatter plot of the Iris dataset, letting users compare how different flower measurements correlate by selecting any two attributes from dropdown menus for the x and y axes. Built with React, D3 v5 scales, and SVG, it renders circles with tooltips and formatted axis ticks. The menus use the react-dropdown library, while data is loaded as CSV and parsed with d3.csv.

Yyuzhang21

96% match

Loading thumbnail…

Polished Scatter Plot with Menus

Yyuzhang21

96% match

Loading thumbnail…

Polished Scatter Plot with Menus

This example shows an interactive scatter plot of the Iris dataset, with dropdown menus allowing the user to select which attributes appear on the x and y axes. The visualization uses React for component management and state, while D3 v5 provides scales and the CSV data loading via `d3.csv`. Points are rendered as SVG circles with tooltips, and axis ticks are generated using `xScale.ticks()` and `yScale.ticks()`. The layout uses fixed dimensions and margins, with axis labels updating dynamically based on the selected attributes.

Wwenleicao

96% match

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot displays the Iris dataset, allowing users to explore relationships between flower measurements by selecting different attributes for the x and y axes through dropdown menus. Built with React and rendered as SVG, the visualization uses D3.js functions such as `scaleLinear`, `extent`, and `format` to map data ranges and format tick labels. Each point is a circle with a native SVG `<title>` element for hover tooltips, positioned using computed coordinates from the D3 scales. The plot features labeled axes, styled tick marks, and a dark teal color scheme.

Jj-PGi

96% match

Loading thumbnail…

Polished Scatterplot with Menus

This interactive scatterplot displays the Iris flower dataset, with dropdown menus letting users select which numerical attribute maps to the x- and y-axes. The visualization is built with React and D3 v5, using `scaleLinear` and `extent` for axis scaling, while the `csv` loader fetches the data. React state updates trigger re-renders of the SVG marks, with styled tick lines and text labels from custom `AxisBottom` and `AxisLeft` components, and circles colored with a fixed teal fill.

Ffjvoris

96% match